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other provinces and regions in Vietnam and other country.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Address\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Headquarters of Can Tho Journal of Medicine and Pharmacy, located Scientific Research and International Cooperation Office: 179 Nguyen Van Cu Street, An Khanh Ward, Ninh Kieu District, Can Tho City, Vietnam.\u003C\u002Fspan>\u003C\u002Fp>","\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Ngày 16\u002F7\u002F2015, Tạp chí Y Dược học Cần Thơ được cấp chỉ số quốc tế: ISSN 2354-1210.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 4\u002F2016, Tạp chí đã được Hội đồng Giáo sư ngành Y đưa vào danh sách các tạp chí khoa học Y học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Năm 2020 Tạp chí Y Dược học Cần Thơ đã được phê duyệt vào danh mục của các Hội đồng Giáo sư ngành Dược học được tính điểm công trình 0-0,5 điểm cho một bài báo đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ ra 12 số\u002Fnăm, 180-200 trang\u002Fsố.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Từ tháng 12\u002F2022 Tạp chí Y Dược học Cần Thơ là thành viên của hệ thống Crossref và từ tháng 01\u002F2023 tạp chí thực hiện bình duyệt online kín 2 chiều nhằm tăng tính minh bạch, tin cậy của các công trình nghiên cứu khoa học và đảm bảo tốt nhất chất lượng khoa học của bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ, mục đích và phạm vi của tạp chí\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tôn chỉ và mục đích hoạt động của tạp chí: xuất bản nhằm mục đích phổ biến kết quả từ các đề tài nghiên cứu khoa học; giao lưu trao đổi khoa học, chia sẻ kinh nghiệm, học tập, đồng thời cập nhật thông tin khoa học mới trong các lĩnh vực y, sinh, dược học trong và ngoài nước.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phạm vi của tạp chí: Tạp chí xuất bản được chia thành 3 chuyên mục: (i) Bài báo nghiên cứu khoa học là kết quả công trình nghiên cứu khoa học có giá trị đã được triển khai nghiên cứu, (ii) Bài tổng quan y, sinh, dược học: phục vụ mục tiêu đào tạo liên tục trong lĩnh vực y, sinh, dược học; nhằm hệ thống hóa những kiến thức kinh điển và hiện đại; (iii) Thông tin cập nhật kiến thức mới về y, sinh, dược học trong nước và trên thế giới.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Chính sách truy cập mở\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ áp dụng chính sách truy cập mở đối với các bài báo đã xuất bản đến với độc giả, nhằm mở rộng cơ hội tiếp cận các kết quả nghiên cứu chất lượng cao và tăng cường trao đổi kiến thức. Tạp chí đăng tải trực tuyến (miễn phí) toàn văn các bài báo được công bố trên website của Tạp chí (https:\u002F\u002Ftapchi.ctump.edu.vn).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đạo đức xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ cam kết tuân thủ đạo đức xuất bản phù hợp với các hướng dẫn và tiêu chuẩn của the Committee on Publication Ethics (COPE), tuân thủ các nguyên tắc của COPE’s Core Practices, Best Practices Guidelines for Journal Editors và Guidelines on Good Publication Practices.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Bản thảo bài báo chỉ được chấp nhận khi được tác giả chịu trách nhiệm chính cam kết các nội dung sau: Các nội dung của bản thảo chưa được đăng tải toàn bộ hoặc một phần ở các tạp chí khác; Tất cả các tác giả đều có đóng góp một cách đáng kể vào quá trình nghiên cứu hoặc chuẩn bị bản thảo và cùng chịu trách nhiệm về các nội dung của bản thảo; Tuân thủ các biện pháp đảm bảo đạo đức nghiên cứu (ví dụ thỏa thuận đồng ý tham gia nghiên cứu).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Cam kết bảo mật\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí cam kết thực hiện và tuân thủ các quy định của luật và các văn bản hướng dẫn liên quan đến bảo mật thông tin cá nhân trên không gian mạng. Các thông tin mà người dùng (tác giả, độc giả, biên tập viên, người phản biện) nhập vào các biểu mẫu trên Hệ thống Quản lý xuất bản trực tuyến của tạp chí chỉ được sử dụng vào các mục đích đã được tuyên bố rõ ràng và sẽ không được cung cấp cho bất kỳ bên thứ ba nào khác, hay dùng vào bất kỳ mục đích nào khác.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Phí gửi bài\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng bài: 1.000.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Lệ phí gửi đăng nhanh: 1.500.000đ\u002Fbài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với tác giả là cán bộ viên chức thuộc Trường Đại học Y Dược Cần Thơ thì được hỗ trợ 50% lệ phí gửi đăng bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Đối với sinh viên thực hiện đề tài nghiên cứu khoa học cấp trường được hỗ trợ 100% lệ phí đăng bài ( Tác giả gửi đính kèm “ Quyết định về việc giao tổ chức thực hiện đề tài nghiên cứu khoa học cấp Trường của sinh viên”).\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Hình thức nộp lệ phí:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Tiền mặt:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Nộp trực tiếp tại Phòng Tài chính - Kế toán, Trường Đại học Y Dược Cần Thơ, số 179 Nguyễn Văn Cừ, P. An Khánh, Q. Ninh Kiều, thành phố Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Chuyển khoản:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tên Tài khoản: Trường ĐHYD Cần Thơ, Số TK: 0111000115668, tại ngân hàng Vietcombank chi nhánh Cần Thơ.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Thời gian: Áp dụng từ ngày 01\u002F02\u002F2023.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">* Phí gửi bài không được hoàn trả khi bài viết bị từ chối hoặc tác giả xin rút bài viết.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Quy trình phản biện bài báo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tạp chí Y Dược học Cần Thơ thực hiện quy trình phản biện kín hai chiều nghiêm ngặt. Danh tính của những người phản biện không được tiết lộ cho các tác giả và ngược lại. Quy trình thẩm định bài báo đăng gồm các bước sau:\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tiếp nhận bản thảo\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Tác giả liên hệ gửi bản thảo đến Tạp chí qua hệ thống trực tuyến tại website: https:\u002F\u002Ftapchi.ctump.edu.vn. Hướng dẫn về cách đăng ký, gửi bài và chuẩn bị bản thảo được cung cấp trên website của Tạp chí.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sàng lọc sơ bộ\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Sau khi Tòa soạn nhận được bài báo của tác giả, Ban Thư ký sẽ tiến hành kiểm tra sơ bộ bài báo (các yêu cầu về nội dung và hình thức). Những bài báo không đúng quy cách hoặc có nội dung không phù hợp hoặc vi phạm bản quyền sẽ bị từ chối (Ban Thư ký thông báo phản hồi đến tác giả trong vòng 1 tuần). Những bài báo đủ điều kiện, được Ban Thư ký tòa soạn chuyển đến Ban Biên tập có cùng chuyên môn với nội dung bài báo để đề xuất người phản biện. Thời gian kể từ khi Ban Biên tập nhận bài báo đến khi đề xuất người phản biện bài báo chậm nhất là 5 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Vòng phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký gửi bài và yêu cầu phản biện đến 02 phản biện độc lập.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Các phản biện gởi nhận xét cho Ban Thư ký. Thời gian từ khi gửi bài cho phản biện đến khi nhận ý kiến của phản biện tối đa là 20 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xử ký kết quả phản biện\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Nếu ý kiến đồng ý cho đăng và không cần chỉnh sửa, Ban Thư ký tiếp tục đăng bài theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Nếu ý kiến đồng ý đăng và cần chỉnh sửa, Ban Thư ký sẽ thông tin đến tác giả chỉnh sửa theo yêu cầu của người phản biện. Thời gian chỉnh sửa và gửi lại kéo dài không quá 2 tuần, từ khi tác giả bài báo nhận được thông tin (Quá trình này có thể lặp lại tối đa 2 lần\u002F1 bài báo). Khi có sự thống nhất, đồng ý của người phản biện; bài báo được tiếp tục đăng theo qui trình.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Những bài báo có chất lượng không đạt yêu cầu, cả 2 phản biện không đồng ý cho đăng sẽ bị Tòa soạn từ chối đăng.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">Xuất bản\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">1. Ban Thư ký tổng hợp các bản thảo đã được tác giả hoàn thiện sau thẩm định trình Ban Biên tập xem xét, Tổng Biên tập phê duyệt, quyết định bài đăng theo các tiêu chí: sự phù hợp nội dung với tôn chỉ và mục đích, thể loại bài viết (ưu tiên các bài có bài có nghiên cứu chuyên sâu, hàm lượng khoa học cao), đóng góp mới bài báo, bài báo được ưu tiên đăng trong số gần nhất của Tạp chí theo thứ tự: tính thời sự, chất lượng bài báo và thời gian gửi bài.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">2. Ban Biên tập và Ban Thư ký biên tập bản thảo, chế bản, đọc rà soát lỗi. Thời gian hoàn thành từ 10-15 ngày.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">3. Ban Thư ký có trách nhiệm thông báo cho tác giả bài báo (bằng e-mail) về tình hình phê duyệt bài báo, thời gian, số kỳ, tập xuất bản bài báo theo qui định.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(0, 0, 0);\">4. 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The main objectives of the journal include: providing an intellectual platform for Vietnamese and international scholars; promoting interdisciplinary studies in social sciences and humanities; becoming the leading journal in social sciences and humanities in Vietnam; being indexed by worldwide databases and having academic recognition internationally in the near future.\\nThe journal is currently indexed by Google Scholar, WorldCat, Open Archives, Cosmos Impact Factor, Advanced Sciences Index, Scientific Indexing Services, CrossRef, EBSCO Information Services and Vietnam National University’s digital archive.\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"Journal of Social Sciences and Humanities-Vietnam\"},{\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"ISSN 2354-1172, email: tapchikhxhnv@gmail.com, tckhxhnv@vnu.edu.vn\"},{\"insert\":\"\\n\"}]}","{\"ops\":[{\"insert\":\"Được thành lập ngày 31\u002F8\u002F2015 (giấy phép hoạt động số 155\u002FGP-BVHTT ngày 11 tháng 5 năm 2015 của Bộ Thông tin và Truyền thông, mã số tiêu chuẩn quốc tế ISSN 2354-1172), Tạp chí Khoa học Xã hội và Nhân văn (Journal of Social Sciences and Humanities) là ấn phẩm khoa học chính thức, duy nhất của Trường Đại học Khoa học Xã hội và Nhân văn, ĐHQG Hà Nội, phát triển và kế thừa Chuyên san Khoa học Xã hội và Nhân văn, Tạp chí Khoa học, ĐHQG Hà Nội.\\nTạp chí xuất bản định kỳ (04 số tiếng Việt\u002Fnăm và 02 số tiếng Anh\u002Fnăm), có nhiệm vụ \"},{\"attributes\":{\"italic\":true},\"insert\":\"công bố, giới thiệu các công trình nghiên cứu khoa học khoa học xã hội và nhân văn của các tác giả là các nhà khoa học trong và ngoài nước, phục vụ giảng dạy, học tập và nghiên cứu khoa học\"},{\"insert\":\". 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And the first issue was published in January 1998 with ISSN 1859-0128. Since then, STDJ has become the most important scientific forum of scientists from VNU-HCM as well as other universities. The magazine has undergone 20 years of development and has become a bridge for scientific exchanges, as well as enriching reference materials for the faculty, doctoral students, students of VNU-HCM in particular and other universities, institutes...\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\"Science and Technology Development Journal - Health Sciences (STDJ-HS) is a subjournal of Science and Technology Development Journal since 2020.\"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"insert\":\" \"},{\"attributes\":{\"align\":\"justify\"},\"insert\":\"\\n\"},{\"attributes\":{\"bold\":true},\"insert\":\"2. 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The Global Fire Assimilation System (GFASv1.0) calculates biomass burning emissions by assimilating Fire Radiative Power (FRP) observations from the MODIS instruments onboard the Terra and Aqua satellites. It corrects for gaps in the observations, which are mostly due to cloud cover, and filters spurious FRP observations of volcanoes, gas flares and other industrial activity. The combustion rate is subsequently calculated with land cover-specific conversion factors. Emission factors for 40 gas-phase and aerosol trace species have been compiled from a literature survey. The corresponding daily emissions have been calculated on a global 0.5° × 0.5° grid from 2003 to the present. General consistency with the Global Fire Emission Database version 3.1 (GFED3.1) within its accuracy is achieved while maintaining the advantages of an FRP-based approach: GFASv1.0 makes use of the quantitative information on the combustion rate that is contained in the FRP observations, and it detects fires in real time at high spatial and temporal resolution. GFASv1.0 indicates omission errors in GFED3.1 due to undetected small fires. It also exhibits slightly longer fire seasons in South America and North Africa and a slightly shorter fire season in Southeast Asia. GFASv1.0 has already been used for atmospheric reactive gas simulations in an independent study, which found good agreement with atmospheric observations. We have performed simulations of the atmospheric aerosol distribution with and without the assimilation of MODIS aerosol optical depth (AOD). They indicate that the emissions of particulate matter need to be boosted by a factor of 2–4 to reproduce the global distribution of organic matter and black carbon. This discrepancy is also evident in the comparison of previously published top-down and bottom-up estimates. For the time being, a global enhancement of the particulate matter emissions by 3.4 is recommended. Validation with independent AOD and PM10 observations recorded during the Russian fires in summer 2010 show that the global Monitoring Atmospheric Composition and Change (MACC) aerosol model with GFASv1.0 aerosol emissions captures the smoke plume evolution well when organic matter and black carbon are enhanced by the recommended factor. In conjunction with the assimilation of MODIS AOD, the use of GFASv1.0 with enhanced emission factors quantitatively improves the forecast of the aerosol load near the surface sufficiently to allow air quality warnings with a lead time of up to four days.\n                    \u003C\u002Fjats:p>",{"EN":779},"Biomass burning emissions estimated with a global fire assimilation system based on observed fire radiative power",{"VOID":781},"10.5194\u002Fbg-9-527-2012","PUBLICATION","Auto Verify",[102],"https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F9\u002F527\u002F2012\u002F",[787,807,824,841,862,884,905,920,935,957,972],{"id":788,"sortIndex":162,"researcher":26,"roles":789,"affiliations":790,"properties":802},"3cdc6aaf-51ec-4a0c-af89-2d2079a5f2f6",[],[791],{"id":792,"sortIndex":36,"affiliation":793,"properties":26},"723d3c23-073f-4835-b3ba-fadb04606ec5",{"id":794,"createTime":795,"updateTime":796,"relativeEntities":797,"slug":798,"properties":799,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"01343d53-e9d3-46c0-a010-3a1182da4e25","2024-01-03T07:45:52.526+00:00","2025-06-11T14:40:15.529+00:00",[],"European-Centre-for-Medium-Range-Weather-Forecasts-Reading-UK",{"title":800},{"VI":801},"European Centre for Medium-Range Weather Forecasts, Reading, UK",{"openalex":803,"title":805},{"VOID":804},"A5108134175",{"EN":806},"L. 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J., and Lagoudakis, E.: Annual and diurnal african biomass burning temporal dynamics, Biogeosciences, 6, 849–866, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fbg-6-849-2009, 2009.",{"doi":1183},"10.5194\u002Fbg-6-849-2009",{"id":26,"text":1185,"url":26,"identifiers":1186},"Rodgers, C. D.: Inverse methods for atmospheric sounding: Theory and practice, World Scientific Publishing, Singapore, 2000.",{"doi":1187},"10.1142\u002F3171",{"id":26,"text":1189,"url":26,"identifiers":1190},"Sofiev, M., Vankevich, R., Lotjonen, M., Prank, M., Petukhov, V., Ermakova, T., Koskinen, J., and Kukkonen, J.: An operational system for the assimilation of the satellite information on wild-land fires for the needs of air quality modelling and forecasting, Atmos. Chem. Phys., 9, 6833–6847, https:\u002F\u002Fdoi.org\u002F10.5194\u002Facp-9-6833-2009, 2009.",{"doi":1191},"10.5194\u002Facp-9-6833-2009",{"id":26,"text":1193,"url":26,"identifiers":1194},"Turpin, B. J. and Lim, H.-J.: Species contributions to PM2.5 mass concentrations: Revisiting common assumptions for estimating organic mass, Aerosol Sci. Tech., 36, 602–610, 2001.",{},{"id":26,"text":1196,"url":26,"identifiers":1197},"Uliumdzhieva, N., Chubarova, N., and Smirnov, A.: Aerosol characteristics of the atmosphere over Moscow from Cimel sun photometer data, Russian Meteorology and Hydrology, 1, 37–44, 2005.",{},{"id":26,"text":1199,"url":26,"identifiers":1200},"van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., and Arellano Jr., A. F.: Interannual variability in global biomass burning emissions from 1997 to 2004, Atmos. Chem. Phys., 6, 3423–3441, https:\u002F\u002Fdoi.org\u002F10.5194\u002Facp-6-3423-2006, 2006.",{"doi":1201},"10.5194\u002Facp-6-3423-2006",{"id":26,"text":1203,"url":26,"identifiers":1204},"van der Werf, G. R., Randerson, J. T., Giglio, L., Collatz, G. J., Mu, M., Kasibhatla, P. S., Morton, D. C., DeFries, R. S., Jin, Y., and van Leeuwen, T. T.: Global fire emissions and the contribution of deforestation, savanna, forest, agricultural, and peat fires (1997–2009), Atmos. Chem. Phys., 10, 11707–11735, https:\u002F\u002Fdoi.org\u002F10.5194\u002Facp-10-11707-2010, 2010.",{"doi":1205},"10.5194\u002Facp-10-11707-2010",{"id":26,"text":1207,"url":26,"identifiers":1208},"van Leeuwen, T. T. and van der Werf, G. R.: Spatial and temporal variability in the ratio of trace gases emitted from biomass burning, Atmos. Chem. Phys., 11, 3611–3629, https:\u002F\u002Fdoi.org\u002F10.5194\u002Facp-11-3611-2011, 2011.",{"doi":1209},"10.5194\u002Facp-11-3611-2011",{"id":26,"text":1211,"url":26,"identifiers":1212},"Westerling, A. L., Hidalgo, H. G., Cayan, D. R., and Swetnam, T. W.: Warming and earlier spring increase western US forest wildfire activity, Science, 313, 940–943, 2006.",{"doi":1213},"10.1126\u002Fscience.1128834",{"id":26,"text":1215,"url":26,"identifiers":1216},"Wiedinmyer, C., Akagi, S. K., Yokelson, R. J., Emmons, L. K., Al-Saadi, J. A., Orlando, J. J., and Soja, A. J.: The Fire INventory from NCAR (FINN): a high resolution global model to estimate the emissions from open burning, Geosci. Model Dev., 4, 625–641, https:\u002F\u002Fdoi.org\u002F10.5194\u002Fgmd-4-625-2011, 2011.",{"doi":1217},"10.5194\u002Fgmd-4-625-2011",{"id":26,"text":1219,"url":26,"identifiers":1220},"Wolfe, R. E., Nishihama, M., Fleig, A. J., Kuyper, J. A., Roy, D. P., Storey, J. C., and Patt, F. S.: Achieving sub-pixel geolocation accuracy in support of MODIS land science, Remote Sens. Environ., 83, 31–49, 2002.",{"doi":1221},"10.1016\u002FS0034-4257(02)00085-8",{"id":26,"text":1223,"url":26,"identifiers":1224},"Wooster, M. J., Roberts, G., Perry, G. L. W., and Kaufman, Y. J.: Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release, J. Geophys. Res., 110, D24311, 2005.",{"doi":1225},"10.1029\u002F2005JD006318",{"id":26,"text":1227,"url":26,"identifiers":1228},"Wüst, R.: Mathematik für Physiker und Mathematiker, vol. 1: Reelle Analysis und Lineare Algebra, WILEY-VCH GmbH & Co. KGaA, 3. edn., 2009.",{},false,{"id":1231,"createTime":1232,"updateTime":1232,"relativeEntities":1233,"slug":1234,"properties":1235,"entityType":782,"verifyStatus":25,"verifyTime":1247,"verifyNote":783,"syncStatus":28,"languages":1248,"translateLanguages":26,"viewCount":36,"primaryUrl":1249,"fullTextUrl":26,"authors":1250,"publicationType":989,"publisherRelationship":1433,"citationCount":1470,"citationInfo":1471,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":1475,"isForceReanalyzing":1229},"0236faa9-2f63-4947-ac98-773bccf99dca","2024-09-02T20:23:31.438+00:00",[],"Carbon-emissions-from-land-use-and-land-cover-change",{"mag":1236,"keywords":1238,"openalex":1239,"abstract":1241,"title":1243,"doi":1245},{"VOID":1237},"2117141344",{},{"VOID":1240},"W2117141344",{"EN":1242},"\u003Cjats:p>Abstract. The net flux of carbon from land use and land-cover change (LULCC) accounted for 12.5% of anthropogenic carbon emissions from 1990 to 2010. This net flux is the most uncertain term in the global carbon budget, not only because of uncertainties in rates of deforestation and forestation, but also because of uncertainties in the carbon density of the lands actually undergoing change. Furthermore, there are differences in approaches used to determine the flux that introduce variability into estimates in ways that are difficult to evaluate, and not all analyses consider the same types of management activities. Thirteen recent estimates of net carbon emissions from LULCC are summarized here. In addition to deforestation, all analyses considered changes in the area of agricultural lands (croplands and pastures). Some considered, also, forest management (wood harvest, shifting cultivation). None included emissions from the degradation of tropical peatlands. Means and standard deviations across the thirteen model estimates of annual emissions for the 1980s and 1990s, respectively, are 1.14 ± 0.23 and 1.12 ± 0.25 Pg C yr−1 (1 Pg = 1015 g carbon). Four studies also considered the period 2000–2009, and the mean and standard deviations across these four for the three decades are 1.14 ± 0.39, 1.17 ± 0.32, and 1.10 ± 0.11 Pg C yr−1. For the period 1990–2009 the mean global emissions from LULCC are 1.14 ± 0.18 Pg C yr−1. The standard deviations across model means shown here are smaller than previous estimates of uncertainty as they do not account for the errors that result from data uncertainty and from an incomplete understanding of all the processes affecting the net flux of carbon from LULCC. Although these errors have not been systematically evaluated, based on partial analyses available in the literature and expert opinion, they are estimated to be on the order of ± 0.5 Pg C yr−1.\n                    \u003C\u002Fjats:p>",{"EN":1244},"Carbon emissions from land use and land-cover change",{"VOID":1246},"10.5194\u002Fbg-9-5125-2012","2024-09-02T20:23:31.437+00:00",[102],"https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F9\u002F5125\u002F2012\u002F",[1251,1270,1302,1324,1346,1367,1389,1411],{"id":1252,"sortIndex":59,"researcher":26,"roles":1253,"affiliations":1254,"properties":1266},"3c04c6ac-818d-4769-9d04-d97e6d1ebc4e",[],[1255],{"id":1256,"sortIndex":36,"affiliation":1257,"properties":26},"e171c970-86e4-41ce-b66f-7fa418ad8a46",{"id":1258,"createTime":1259,"updateTime":1260,"relativeEntities":1261,"slug":1262,"properties":1263,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"0c8ac613-7b05-482a-9b5c-a7621eab6f5b","2023-12-20T06:27:54.823+00:00","2025-06-12T01:21:30.043+00:00",[],"Faculty-of-Earth-and-Life-Sciences-VU-University-Amsterdam-The-Netherlands",{"title":1264},{"VI":1265},"Faculty of Earth and Life Sciences, VU University, Amsterdam, The Netherlands",{"openalex":1267,"orcid":1268,"title":1269},{"VOID":952},{"VOID":954},{"EN":956},{"id":1271,"sortIndex":114,"researcher":26,"roles":1272,"affiliations":1273,"properties":1295},"1d4b339b-a932-4d1c-bf09-895c6b6b826a",[],[1274,1284],{"id":1275,"sortIndex":115,"affiliation":1276,"properties":26},"504e46ac-d6e8-4d8f-ba76-ad2e9ecdde66",{"id":1277,"createTime":1278,"updateTime":1278,"relativeEntities":1279,"slug":1280,"properties":1281,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"dcdef17c-bcb9-4eb1-bc95-5fb5a2746c83","2024-09-02T20:23:31.621+00:00",[],"now-at-Max-Planck-Institute-for-Meteorology-Hamburg-Germany",{"title":1282},{"EN":1283},"now at: Max Planck Institute for Meteorology, Hamburg, Germany",{"id":1285,"sortIndex":36,"affiliation":1286,"properties":26},"8183350a-ac3d-42a9-9cbc-37c8f4cd130a",{"id":1287,"createTime":1288,"updateTime":1289,"relativeEntities":1290,"slug":1291,"properties":1292,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"020e517b-7933-4477-9bae-3e6196b635df","2023-11-24T20:01:06.155+00:00","2025-06-11T15:29:10.586+00:00",[],"Department-of-Global-Ecology-Carnegie-Institution-for-Science-Stanford-USA",{"title":1293},{"VI":1294},"Department of Global Ecology, Carnegie Institution for Science, Stanford, USA",{"openalex":1296,"orcid":1298,"title":1300},{"VOID":1297},"A5054849631",{"VOID":1299},"https:\u002F\u002Forcid.org\u002F0000-0003-0372-3960",{"EN":1301},"Julia Pongratz",{"id":1303,"sortIndex":36,"researcher":26,"roles":1304,"affiliations":1305,"properties":1317},"27474c4a-ed32-4819-bde7-b45b4933d857",[],[1306],{"id":1307,"sortIndex":36,"affiliation":1308,"properties":26},"d44630d4-739c-4294-8749-82ede84eb296",{"id":1309,"createTime":1310,"updateTime":1311,"relativeEntities":1312,"slug":1313,"properties":1314,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"d284e49b-03f5-44eb-9e41-b1f18e09b560","2023-12-09T03:34:28.591+00:00","2025-01-03T05:55:44.792+00:00",[],"Woods-Hole-Research-Center-Falmouth-MA-USA",{"title":1315},{"VI":1316},"Woods Hole Research Center, Falmouth, MA USA",{"openalex":1318,"orcid":1320,"title":1322},{"VOID":1319},"A5070969548",{"VOID":1321},"https:\u002F\u002Forcid.org\u002F0000-0002-4974-3628",{"EN":1323},"S. 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D., Stibig, H.-J., Mayaux, P., Gallego, J., Richards, T., and Malingreau, J.-P.: Determination of deforestation rates of the world's humid tropical forests, Science, 297, 999–1002, 2002.",{"doi":1479},"10.1126\u002Fscience.1070656",{"id":26,"text":1481,"url":26,"identifiers":1482},"Achard, F., Eva, H. D., Mayaux, P., Stibig, H.-J., and Belward, A.: Improved estimates of net carbon emissions from land cover change in the tropics for the 1990s, Global Biogeochem. Cy., 18, GB2008, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2003GB002142, 2004.",{"doi":1483},"10.1029\u002F2003GB002142",{"id":26,"text":1485,"url":26,"identifiers":1486},"Aragão, L. E. O. C., Malhi, Y., Barbier, N., Lima, A., Shimabukuro, Y., Anderson, L., and Saatchi, S.: Interactions between rainfall, deforestation and fires during recent years in the Brazilian Amazonia, Phil. T. R. Soc. 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The deep sea, the largest biome on Earth, has a series of characteristics that make this environment both distinct from other marine and land ecosystems and unique for the entire planet. This review describes these patterns and processes, from geological settings to biological processes, biodiversity and biogeographical patterns. It concludes with a brief discussion of current threats from anthropogenic activities to deep-sea habitats and their fauna. Investigations of deep-sea habitats and their fauna began in the late 19th century. In the intervening years, technological developments and stimulating discoveries have promoted deep-sea research and changed our way of understanding life on the planet. Nevertheless, the deep sea is still mostly unknown and current discovery rates of both habitats and species remain high. The geological, physical and geochemical settings of the deep-sea floor and the water column form a series of different habitats with unique characteristics that support specific faunal communities. Since 1840, 28 new habitats\u002Fecosystems have been discovered from the shelf break to the deep trenches and discoveries of new habitats are still happening in the early 21st century. However, for most of these habitats the global area covered is unknown or has been only very roughly estimated; an even smaller – indeed, minimal – proportion has actually been sampled and investigated. We currently perceive most of the deep-sea ecosystems as heterotrophic, depending ultimately on the flux on organic matter produced in the overlying surface ocean through photosynthesis. The resulting strong food limitation thus shapes deep-sea biota and communities, with exceptions only in reducing ecosystems such as inter alia hydrothermal vents or cold seeps. Here, chemoautolithotrophic bacteria play the role of primary producers fuelled by chemical energy sources rather than sunlight. Other ecosystems, such as seamounts, canyons or cold-water corals have an increased productivity through specific physical processes, such as topographic modification of currents and enhanced transport of particles and detrital matter. Because of its unique abiotic attributes, the deep sea hosts a specialized fauna. Although there are no phyla unique to deep waters, at lower taxonomic levels the composition of the fauna is distinct from that found in the upper ocean. Amongst other characteristic patterns, deep-sea species may exhibit either gigantism or dwarfism, related to the decrease in food availability with depth. Food limitation on the seafloor and water column is also reflected in the trophic structure of heterotrophic deep-sea communities, which are adapted to low energy availability. In most of these heterotrophic habitats, the dominant megafauna is composed of detritivores, while filter feeders are abundant in habitats with hard substrata (e.g. mid-ocean ridges, seamounts, canyon walls and coral reefs). Chemoautotrophy through symbiotic relationships is dominant in reducing habitats. Deep-sea biodiversity is among of the highest on the planet, mainly composed of macro and meiofauna, with high evenness. This is true for most of the continental margins and abyssal plains with hot spots of diversity such as seamounts or cold-water corals. However, in some ecosystems with particularly \"extreme\" physicochemical processes (e.g. hydrothermal vents), biodiversity is low but abundance and biomass are high and the communities are dominated by a few species. Two large-scale diversity patterns have been discussed for deep-sea benthic communities. First, a unimodal relationship between diversity and depth is observed, with a peak at intermediate depths (2000–3000 m), although this is not universal and particular abiotic processes can modify the trend. Secondly, a poleward trend of decreasing diversity has been discussed, but this remains controversial and studies with larger and more robust data sets are needed. Because of the paucity in our knowledge of habitat coverage and species composition, biogeographic studies are mostly based on regional data or on specific taxonomic groups. Recently, global biogeographic provinces for the pelagic and benthic deep ocean have been described, using environmental and, where data were available, taxonomic information. This classification described 30 pelagic provinces and 38 benthic provinces divided into 4 depth ranges, as well as 10 hydrothermal vent provinces. 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Monaco, 11, 226 pp., 1980.",{},{"id":4095,"createTime":4096,"updateTime":4096,"relativeEntities":4097,"slug":4098,"properties":4099,"entityType":782,"verifyStatus":25,"verifyTime":4096,"verifyNote":783,"syncStatus":28,"languages":4110,"translateLanguages":26,"viewCount":36,"primaryUrl":4111,"fullTextUrl":26,"authors":4112,"publicationType":989,"publisherRelationship":4275,"citationCount":4312,"citationInfo":4313,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":4316,"isForceReanalyzing":1229},"67c44248-c974-4f72-8e56-fa356b8fcaff","2024-09-23T19:15:51.822+00:00",[],"Current-and-future-CO-amp-lt-sub-amp-gt-2-amp-lt-sub-amp-gt-emissions-from-drained-peatlands-in-Southeast-Asia",{"mag":4100,"keywords":4102,"openalex":4103,"abstract":4105,"title":4107,"doi":4109},{"VOID":4101},"2161293726",{},{"VOID":4104},"W2161293726",{"EN":4106},"\u003Cjats:p>Abstract. Forested tropical peatlands in Southeast Asia store at least 42 000 Million metric tonnes (Mt) of soil carbon. Human activity and climate change threatens the stability of this large pool, which has been decreasing rapidly over the last few decades owing to deforestation, drainage and fire. In this paper we estimate the carbon dioxide (CO2) emissions resulting from drainage of lowland tropical peatland for agricultural and forestry development which dominates the perturbation of the carbon balance in the region. Present and future emissions from drained peatlands are quantified using data on peatland extent and peat thickness, present and projected land use, water management practices and decomposition rates. Of the 27.1 Million hectares (Mha) of peatland in Southeast Asia, 12.9 Mha had been deforested and mostly drained by 2006. This latter area is increasing rapidly because of increasing land development pressures. Carbon dioxide (CO2) emission caused by decomposition of drained peatlands was between 355 Mt y−1 and 855 Mt y−1 in 2006 of which 82% came from Indonesia, largely Sumatra and Kalimantan. At a global scale, CO2 emission from peatland drainage in Southeast Asia is contributing the equivalent of 1.3% to 3.1% of current global CO2 emissions from the combustion of fossil fuel. If current peatland development and management practices continue, these emissions are predicted to continue for decades. This warrants inclusion of tropical peatland CO2 emissions in global greenhouse gas emission calculations and climate mitigation policies. Uncertainties in emission calculations are discussed and research needs for improved estimates are identified.\n                    \u003C\u002Fjats:p>",{"EN":4108},"Current and future CO<sub>2<\u002Fsub> emissions from drained peatlands in Southeast Asia",{"VOID":1663},[102],"https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F7\u002F1505\u002F2010\u002F",[4113,4135,4156,4176,4198,4230,4252],{"id":4114,"sortIndex":114,"researcher":26,"roles":4115,"affiliations":4116,"properties":4128},"19752f38-cfbf-4c9e-ba3d-5a1a7cef7b89",[],[4117],{"id":4118,"sortIndex":36,"affiliation":4119,"properties":26},"288a4271-066a-499f-9a2e-adf6c7953c67",{"id":4120,"createTime":4121,"updateTime":4122,"relativeEntities":4123,"slug":4124,"properties":4125,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"ebc850a0-1abb-4c00-895a-30eb012b5b0e","2023-12-17T21:53:04.003+00:00","2024-09-23T19:15:51.866+00:00",[],"Global-Carbon-Project-CSIRO-Marine-and-Atmospheric-Research-GPO-Box-3023-Canberra-ACT-2601-Australia",{"title":4126},{"VI":4127},"Global Carbon Project, CSIRO Marine and Atmospheric Research, GPO Box 3023, Canberra, ACT 2601, Australia",{"openalex":4129,"orcid":4131,"title":4133},{"VOID":4130},"A5055830218",{"VOID":4132},"https:\u002F\u002Forcid.org\u002F0000-0002-8788-3218",{"EN":4134},"Josep G. 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Box 47, 6700 AA Wageningen, The Netherlands",{"openalex":4172,"title":4174},{"VOID":4173},"A5013582862",{"EN":4175},"Henk Wösten",{"id":4177,"sortIndex":59,"researcher":26,"roles":4178,"affiliations":4179,"properties":4191},"5ceab5d2-ff02-48fc-a21d-c88f4c063c95",[],[4180],{"id":4181,"sortIndex":36,"affiliation":4182,"properties":26},"2c703983-ac30-4332-9465-b3811cfab0b9",{"id":4183,"createTime":4184,"updateTime":4185,"relativeEntities":4186,"slug":4187,"properties":4188,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"7a57cbda-ac1b-4081-a85f-fab97b02a6dc","2024-01-09T08:07:22.050+00:00","2024-09-23T19:15:51.875+00:00",[],"Wetlands-International-P-O-Box-471-6700-AL-Wageningen-the-Netherlands",{"title":4189},{"VI":4190},"Wetlands International, P.O. 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S.: G.L.C. 2000: A new approach to global land cover mapping from Earth observation data, Int. J. Remote Sens., 26, 1959–1977, 2005.",{},{"id":26,"text":4329,"url":26,"identifiers":4330},"Byrne, K. A., Chojnicki, B., Christensen, T. R., Drösler, M., Freibauer, A., Frolking, S., Lindroth, A., Mailhammer, J., Malmer, N., Selin, P., Turunen, J., Valentini, R., Zetterberg, L.: EU Peatlands: Current carbon stocks and trace gas fluxes, Carboeurope-GHG, concerted action synthesis of the European greenhouse gas budget, Department of Forest Science and Environment, Viterbo, Italy, 1–58, 2004.",{},{"id":26,"text":4332,"url":26,"identifiers":4333},"Canadell, J. G., Le Quéré, C., Raupach, M. R., Field, C. B., Buitenhuis, E. T., Ciais, P., Conway, T. J, Gillett, N. P., Houghton, R. A., and Marland, G.: Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. P. Natl. A. Sci., 104, 18866–18870, 2007.",{"doi":1545},{"id":26,"text":4335,"url":26,"identifiers":4336},"Couwenberg, J., Dommain, R., and Joosten, H.: Greenhouse gas fluxes from tropical peatlands in southeast Asia, Glob. Change Biol., https:\u002F\u002Fdoi.org\u002F10.1111\u002Fj.1365-2486.2009.02016.x, 2009.",{"doi":4337},"10.1111\u002Fj.1365-2486.2009.02016.x",{"id":26,"text":4339,"url":26,"identifiers":4340},"FAO: Digital Soil map of the World, 2004.",{},{"id":26,"text":4342,"url":26,"identifiers":4343},"Forster, P., Ramaswamy, V., Artaxo P., and Bernsten, T.: Changes in atmospheric constituents and in radiative forcing, in: Climate change: the physical science basis. Contribution of Working Group I to the fourth assessment report of the Intergovernmental Panel on Climate Change, edited by: Solomon, S., Qin, D., Manning, M., and Chen, Z., Cambridge University Press, Cambridge, 2007.",{},{"id":26,"text":4345,"url":26,"identifiers":4346},"Global Forest Watch: The State of the Forest: Indonesia. Bogor, Indonesia: Forest Watch Indonesia, and Washington DC: Global Forest Watch, 2002.",{},{"id":26,"text":4348,"url":26,"identifiers":4349},"Gullison, R. E., Frumhoff, P., Canadell, J. G., Field, C. B., Nepstad, D. C., Hayhoe, K., Avissar, R., Curran, L. M., Friedlingstein, P., Jones, C. D., and Nobre, C.: Tropical forests and climate policy, Science, 316, 985–986, https:\u002F\u002Fdoi.org\u002F10.1126\u002Fscience.1136163, 2007.",{"doi":4350},"10.1126\u002Fscience.1136163",{"id":26,"text":4352,"url":26,"identifiers":4353},"Hooijer, A.: Hydrology of tropical wetland forests: recent research results from Sarawak peat swamps, in: Forests-Water-People in the Humid Tropics, edited by: Bonell, M. and Bruijnzeel, L. A., Cambridge University Press, 447–461, 2005a.",{"doi":4354},"10.1017\u002FCBO9780511535666.023",{"id":26,"text":4356,"url":26,"identifiers":4357},"Hooijer, A.: Hydrological assessment of forest plantation impacts on tropical forested peatlands; Kampar Peninsula, Sumatra, Indonesia, in: Landscape-Level assessment of hydrological & ecological values in the Kampar Peninsular, ProForest (UK) report to APRIL, 2005b.",{},{"id":26,"text":4359,"url":26,"identifiers":4360},"Hooijer, A., Silvius, M., Wösten, H., and Page, S.: PEAT-CO2, Assessment of CO2 emissions from drained peatlands in SE Asia, Delft Hydraulics report Q3943\u002F2006, 36p, http:\u002F\u002Fpeat-co2.deltares.nl, 2006.",{},{"id":26,"text":4362,"url":26,"identifiers":4363},"Hooijer, A., Van der Vat, M., Prinsen, G., Vernimmen, R., Brinkman, J. J., and Zijl, F.: Hydrology of the EMRP Area – Water Management Implications for Peatlands, Technical Report Number 2 of the Master Plan for the Rehabilitation and Revitalisation of the Ex-Mega Rice Project Area in Central Kalimantan, Euroconsult Mott MacDonald and Deltares $\\\\vert$ Delft Hydraulics, 2008a.",{},{"id":26,"text":4365,"url":26,"identifiers":4366},"Hooijer A.: Kampar Peninsula Science Based Management Support Project – Introduction to the SBMS Project and preliminary results to date, Delft Hydraulics report, 2008b.",{},{"id":26,"text":4368,"url":26,"identifiers":4369},"IPCC 2006: IPCC Guidelines for National Greenhouse Gas Inventories, Chapter 5: Cropland, page 5.19, IPCC.",{},{"id":26,"text":4371,"url":26,"identifiers":4372},"IPCC: Climate Change 2007: The Physical Scientific Basis. Summary for Policymakers. IPCC Secretariat, Geneva, pp. 21, 2007.",{},{"id":26,"text":4374,"url":26,"identifiers":4375},"Jali, D.: Nitrogen mineralization in the tropical peat swamps, in: Proceedings of the 12th International Peat Congress, Tampere 6-11.6.2004, edited by: Päivänen, J., 644–652, 2004.",{},{"id":26,"text":4377,"url":26,"identifiers":4378},"Jauhiainen, J., Jaya, A., Inoue, T., Heikkinen, J., Martikainen, P., and Vasander, H.: Carbon balance in managed tropical peat in Central Kalimantan, in: Proceedings of the 12thInternational Peat Congress, Tampere 6-11.6.2004, edited by: Päivänen, J., 653–659, 2004.",{},{"id":26,"text":4380,"url":26,"identifiers":4381},"Jauhiainen, J., Takahashi, H., Heikkinen, J. E. P., Martikainen, P. J., and Vasander, H.: Carbon fluxes from a tropical peat swamp forest floor, Glob. Change Biol., 11, 1788–1797, 2005.",{"doi":4382},"10.1111\u002Fj.1365-2486.2005.001031.x",{"id":26,"text":4384,"url":26,"identifiers":4385},"Jauhiainen, J., Limin, S., Silvennoinen, H., and Vasander, H.: Carbon dioxide and methane fluxes in drained tropical peat before and after hydrological restoration, Ecology, 89, 3503–3514, 2008.",{"doi":4386},"10.1890\u002F07-2038.1",{"id":26,"text":4388,"url":26,"identifiers":4389},"Kanapathy, K.: Fertilizer requirement on peat soils, Malaysian Agricultural Journal, 50, 292–307, 1976.",{},{"id":26,"text":4391,"url":26,"identifiers":4392},"Langner, A. and Siegert, F.: Spatiotemporal fire occurrence in Borneo over a period of 10 years, Glob. Change Biol., 15, 48–62, 2009.",{"doi":4393},"10.1111\u002Fj.1365-2486.2008.01828.x",{"id":26,"text":4395,"url":26,"identifiers":4396},"Li, W., Dickinson, R. E., Fu, R., Niu, G. Y., Yang, Z. L., and Canadell, J. G.: Future Precipitation Changes and Their Implications for Tropical Peatlands, Geophys. Res. Lett., 34, L01403, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2006GL028364, 2007.",{"doi":4397},"10.1029\u002F2006GL028364",{"id":26,"text":4399,"url":26,"identifiers":4400},"Melling, L., Hatano, R., and Goh, K. J.: Soil CO2 flux from three ecosystems in tropical peatland of Sarawak, Malaysia, Tellus B, 57, 1–11, 2005.",{"doi":4401},"10.1111\u002Fj.1600-0889.2005.00129.x",{"id":26,"text":4403,"url":26,"identifiers":4404},"Minkkinen, K., Byrne, K. A., and Trettin, C.: Climate impacts of peatland forestry, in: Peatlands and Climate Change, edited by: Strack, M., International Peat Society, Jyväskylä, Finland, 98–122, 2008.",{},{"id":26,"text":4406,"url":26,"identifiers":4407},"Murayama, S. and Bakar, Z. A.: Decomposition of tropical peat soils, 2. Estimation of in situ decomposition by measurement of CO2 flux, Jarq-Jpn. Agr. Res. Q., 30, 153–158, 1996.",{},{"id":26,"text":4409,"url":26,"identifiers":4410},"Neuzil, S. G.: Onset and rate of of peat and carbon accumulation in four domed ombrogenous peat deposits, Indonesia, in: Biodiversity and sustainability in peatlands – Proceedings of the International Symposium on Tropical Peatlands, Palangka Raya, Indonesia, edited by: Rieley, J. O. and Page, S. E., Samara Publishing, Cardigan, 55–72, 1997.",{},{"id":26,"text":4412,"url":26,"identifiers":4413},"Page, S. E., Rieley, J. O., Shotyk, O. W., and Weiss, D.: Interdependence of peat and vegetation in a tropical peat swamp forest, Phil. Trans. R. Soc. Lond, B 345, 1885–1897, 1999.",{"doi":4414},"10.1098\u002Frstb.1999.0529",{"id":26,"text":4416,"url":26,"identifiers":4417},"Page, S. E., Siegert, F., Rieley, J. O., Boehm, H. V., Jaya, A., and Limin, S.: The amount of carbon released from peat and forest fires in Indonesia during 1997, Nature, 420, 61–65, 2002.",{"doi":1787},{"id":26,"text":4419,"url":26,"identifiers":4420},"Rieley, J. O., Wüst, R. A. J., Jauhiainen, J., Page, S. E., Ritzema, H., Wösten, H., Hooijer, A., Siegert, F., Limin, S., Vasander, H., and Stahlhut, M.: Tropical Peatlands, Carbon stores, Carbon Gas Emissions and Contribution to Climate Change Processes, in: Peatlands and Climate Change, edited by: Strack, M., International Peat Society, Jyväskylä, Finland, 148–181, 2008.",{},{"id":26,"text":4422,"url":26,"identifiers":4423},"Shimada, S., Takahashi, H., Haraguchi, A., and Kaneko, M.: The carbon content characteristics of tropical peats in Central Kalimantan, Indonesia: estimating their spatial variability in density, Biogeochemistry, 53, 249–267, 2001.",{"doi":4424},"10.1023\u002FA:1010618807469",{"id":26,"text":4426,"url":26,"identifiers":4427},"Silvius, M. J. and Taufik, A. W.: Conservation and Land Use of Kimaam Island, A survey report and compilation of existing information, PHPA\u002FAWB Bogor, 1990.",{},{"id":26,"text":4429,"url":26,"identifiers":4430},"Silvius, M. J. and Giesen, W.: Integration of Conservation and Land-Use Development of Swamp Forest of East Sumatra, in: Proceedings of the Workshop on Sumatra, Environment and Development: its past, present and future. Bogor, 16–18 September 1992, BIOTROP Special Publication No. 46, SEAMEO BIOTROP, Bogor, 1992.",{},{"id":26,"text":4432,"url":26,"identifiers":4433},"Stone, R.: Can palm oil plantations come clean?, Science, 317, 1491, 2007.",{"doi":4434},"10.1126\u002Fscience.317.5844.1491",{"id":26,"text":4436,"url":26,"identifiers":4437},"Ueda, S., Go, C.-S. U., Yoshioka, T., Yoshida, N., Wada, E., Miyajima, T., Sugimoto, A., Boontanon N., Vijarnsorn, P., and Boonprakub, S.: Dynamics of dissolved O2, CO2, CH4, and N2O in a tropical coastal swamp in southern Thailand, Biogeochemistry, 49, 191–215, 2000.",{"doi":4438},"10.1023\u002FA:1006393214432",{"id":26,"text":4440,"url":26,"identifiers":4441},"Van der Werf, G. R., Dempewolf, J., Trigg, S. N., Randerson, J. T., Kasibhatla, P. S., Gigio, L., Murdiyarso, D., Peters, W., Morton, D. C., Collatz, G. J., Dolman, A. J., and DeFries, R. S.: Climate regulation of fire emissions and deforestation in equatorial Asia, PNAS, 105, 20350–20355, 2008.",{"doi":1906},{"id":26,"text":4443,"url":26,"identifiers":4444},"Wetlands International: Maps of peatland distribution and carbon content in Sumatera, 1990–2002, 2003.",{},{"id":26,"text":4446,"url":26,"identifiers":4447},"Wetlands International: Maps of peatland distribution and carbon content in Kalimantan, 2000–2002, 2004.",{},{"id":26,"text":4449,"url":26,"identifiers":4450},"Wösten, J. H. M., Ismail, A. B., and Van Wijk, A. L. M.: Peat subsidence and its practical implications: a case study in Malaysia, Geoderma, 78, 25–36, 1997.",{"doi":4451},"10.1016\u002FS0016-7061(97)00013-X",{"id":26,"text":4453,"url":26,"identifiers":4454},"Wösten, J. H. M. and Ritzema, H. P.: Land and water management options for peatland development in Sarawak, Malaysia, International Peat Journal 11, 59–66, 2001.",{},{"id":26,"text":4456,"url":26,"identifiers":4457},"Wösten, J. H. M., Van den Berg, J., Van Eijk, P., Gevers, G. J. M., Giesen, W. B. J. T., Hooijer, A., Idris, A., Leenman, P. H., Satriadi Rais Dipa, Siderius, C., Silvius, M. J., Suryadiputra, N., and Wibisono, I. W.: Interrelationships between Hydrology and Ecology in Fire Degraded Tropical Peat Swamp Forests, Int. J. Water Resour. D., 22, 157–174, 2006.",{"doi":4458},"10.1080\u002F07900620500405973",{"id":4460,"createTime":4461,"updateTime":4461,"relativeEntities":4462,"slug":4463,"properties":4464,"entityType":782,"verifyStatus":25,"verifyTime":4476,"verifyNote":783,"syncStatus":28,"languages":4477,"translateLanguages":26,"viewCount":36,"primaryUrl":4478,"fullTextUrl":26,"authors":4479,"publicationType":989,"publisherRelationship":4633,"citationCount":4671,"citationInfo":4672,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":4675,"isForceReanalyzing":1229},"1a3872c8-3f68-4ea8-9eff-51d165a91a83","2024-09-27T06:18:39.435+00:00",[],"Physiological-basis-for-high-CO-amp-lt-sub-amp-gt-2-amp-lt-sub-amp-gt-tolerance-in-marine-ectothermic-animals-pre-adaptation-through-lifestyle-and-ontogeny-",{"mag":4465,"keywords":4467,"openalex":4468,"abstract":4470,"title":4472,"doi":4474},{"VOID":4466},"2107107576",{},{"VOID":4469},"W2107107576",{"EN":4471},"\u003Cjats:p>Abstract. Future ocean acidification has the potential to adversely affect many marine organisms. A growing body of evidence suggests that many species could suffer from reduced fertilization success, decreases in larval- and adult growth rates, reduced calcification rates, and even mortality when being exposed to near-future levels (year 2100 scenarios) of ocean acidification. Little research focus is currently placed on those organisms\u002Ftaxa that might be less vulnerable to the anticipated changes in ocean chemistry; this is unfortunate, as the comparison of more vulnerable to more tolerant physiotypes could provide us with those physiological traits that are crucial for ecological success in a future ocean. Here, we attempt to summarize some ontogenetic and lifestyle traits that lead to an increased tolerance towards high environmental pCO2. In general, marine ectothermic metazoans with an extensive extracellular fluid volume may be less vulnerable to future acidification as their cells are already exposed to much higher pCO2 values (0.1 to 0.4 kPa, ca. 1000 to 3900 μatm) than those of unicellular organisms and gametes, for which the ocean (0.04 kPa, ca. 400 μatm) is the extracellular space. A doubling in environmental pCO2 therefore only represents a 10% change in extracellular pCO2 in some marine teleosts. High extracellular pCO2 values are to some degree related to high metabolic rates, as diffusion gradients need to be high in order to excrete an amount of CO2 that is directly proportional to the amount of O2 consumed. In active metazoans, such as teleost fish, cephalopods and many brachyuran crustaceans, exercise induced increases in metabolic rate require an efficient ion-regulatory machinery for CO2 excretion and acid-base regulation, especially when anaerobic metabolism is involved and metabolic protons leak into the extracellular space. These ion-transport systems, which are located in highly developed gill epithelia, form the basis for efficient compensation of pH disturbances during exposure to elevated environmental pCO2. Compensation of extracellular acid-base status in turn may be important in avoiding metabolic depression. So far, maintained \"performance\" at higher seawater pCO2 (>0.3 to 0.6 kPa) has only been observed in adults\u002Fjuveniles of active, high metabolic species with a powerful ion regulatory apparatus. However, while some of these taxa are adapted to cope with elevated pCO2 during their regular embryonic development, gametes, zygotes and early embryonic stages, which lack specialized ion-regulatory epithelia, may be the true bottleneck for ecological success – even of the more tolerant taxa. Our current understanding of which marine animal taxa will be affected adversely in their physiological and ecological fitness by projected scenarios of anthropogenic ocean acidification is quite incomplete. While a growing amount of empirical evidence from CO2 perturbation experiments suggests that several taxa might react quite sensitively to ocean acidification, others seem to be surprisingly tolerant. However, there is little mechanistic understanding on what physiological traits are responsible for the observed differential sensitivities (see reviews of Seibel and Walsh, 2003; Pörtner et al., 2004; Fabry et al., 2008; Pörtner, 2008). This leads us to the first very basic question of how to define general CO2 tolerance on the species level.\u003C\u002Fjats:p>",{"EN":4473},"Physiological basis for high CO<sub>2<\u002Fsub> tolerance in marine ectothermic animals: pre-adaptation through lifestyle and 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Kiel, Germany",{"openalex":4496,"orcid":4498,"title":4500},{"VOID":4497},"A5089518171",{"VOID":4499},"https:\u002F\u002Forcid.org\u002F0000-0002-5884-1318",{"EN":4501},"Frank Melzner",{"id":4503,"sortIndex":158,"researcher":26,"roles":4504,"affiliations":4505,"properties":4517},"9fd28664-3942-4c88-91c1-7e32a9a8111b",[],[4506],{"id":4507,"sortIndex":36,"affiliation":4508,"properties":26},"ae6aed30-4bab-4e90-b647-7c6718287e30",{"id":4509,"createTime":4510,"updateTime":4511,"relativeEntities":4512,"slug":4513,"properties":4514,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"b3eeb0ce-26a9-4a5e-9b98-bac11f385431","2024-01-19T19:21:22.744+00:00","2024-09-27T06:18:39.492+00:00",[],"Integrative-Ecophysiology-Alfred-Wegener-Institute-for-Polar-and-Marine-Research-Bremerhaven-Germany",{"title":4515},{"VI":4516},"Integrative Ecophysiology, Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, 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E. R.: Imperceptible senescence: Ageing in the ocean quahog Arctica islandica, Free Radical Res., 42, 474–480, 2008.",{"doi":4679},"10.1080\u002F10715760802108849",{"id":26,"text":4681,"url":26,"identifiers":4682},"Baldwin, J. and Lee, A. K.: Contributions of aerobic and anaerobic energy-production during swimming in the bivalve mollusk Limaria-fragilis (Family Limidae), J. Comp. Physiol., 129, 361–364, 1979.",{"doi":4683},"10.1007\u002FBF00686994",{"id":26,"text":4685,"url":26,"identifiers":4686},"Batterton, C. V. and Cameron, J. N.: Characteristics of resting ventilation and response to hypoxia, hypercapnia, and emersion in blue-crab Callinectes-sapidus (Rathbun), J. Exp. Zool., 203, 403–418, 1978.",{"doi":4687},"10.1002\u002Fjez.1402030308",{"id":26,"text":4689,"url":26,"identifiers":4690},"Bernier, N. J., Brauner, C. J., Heath, J. W., and Randall, D. J.: Oxygen and carbon dioxide transport during sustained exercise in diploid and triploid chinook salmon (Oncorhynchus tshawytscha), Can. J. Fish. Aquat. Sci., 61, 1797–1805, 2004.",{"doi":4691},"10.1139\u002Ff04-110",{"id":26,"text":4693,"url":26,"identifiers":4694},"Bertorello, A. M., and Katz, A. I.: Short-term regulation of renal Na+-K+-ATPase activity: physiological relevance and cellular mechanisms, Am. J. Physiol., 265, F743–F755, 1993.",{"doi":4695},"10.1152\u002Fajprenal.1993.265.6.F743",{"id":26,"text":4697,"url":26,"identifiers":4698},"Booth, C. E., McMahon, B. R., and Pinder, A. W.: Oxygen-uptake and the potentiating effects of increased hemolymph lactate on oxygen-transport during exercise in the blue-crab, Callinectes-sapidus, J. Comp. Physiol., 148, 111–121, 1982.",{"doi":4699},"10.1007\u002FBF00688894",{"id":26,"text":4701,"url":26,"identifiers":4702},"Booth, C. E., McDonald, D. G., and Walsh, P. 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Bull., 200, 67–76, 2001.",{"doi":5280},"10.2307\u002F1543086",{"id":5282,"createTime":5283,"updateTime":5283,"relativeEntities":5284,"slug":5285,"properties":5286,"entityType":782,"verifyStatus":25,"verifyTime":5283,"verifyNote":783,"syncStatus":28,"languages":5298,"translateLanguages":26,"viewCount":36,"primaryUrl":5299,"fullTextUrl":26,"authors":5300,"publicationType":989,"publisherRelationship":5365,"citationCount":5402,"citationInfo":5403,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":5405,"isForceReanalyzing":1229},"b23f9849-74dd-4f4e-bee3-63b8937868f5","2024-08-31T05:01:27.953+00:00",[],"Phytoplankton-primary-production-in-the-world-s-estuarine-coastal-ecosystems",{"mag":5287,"keywords":5289,"openalex":5290,"abstract":5292,"title":5294,"doi":5296},{"VOID":5288},"2106200606",{},{"VOID":5291},"W2106200606",{"EN":5293},"\u003Cjats:p>Abstract. Estuaries are biogeochemical hot spots because they receive large inputs of nutrients and organic carbon from land and oceans to support high rates of metabolism and primary production. We synthesize published rates of annual phytoplankton primary production (APPP) in marine ecosystems influenced by connectivity to land – estuaries, bays, lagoons, fjords and inland seas. Review of the scientific literature produced a compilation of 1148 values of APPP derived from monthly incubation assays to measure carbon assimilation or oxygen production. The median value of median APPP measurements in 131 ecosystems is 185 and the mean is 252 g C m−2 yr−1, but the range is large: from −105 (net pelagic production in the Scheldt Estuary) to 1890 g C m−2 yr−1 (net phytoplankton production in Tamagawa Estuary). APPP varies up to 10-fold within ecosystems and 5-fold from year to year (but we only found eight APPP series longer than a decade so our knowledge of decadal-scale variability is limited). We use studies of individual places to build a conceptual model that integrates the mechanisms generating this large variability: nutrient supply, light limitation by turbidity, grazing by consumers, and physical processes (river inflow, ocean exchange, and inputs of heat, light and wind energy). We consider method as another source of variability because the compilation includes values derived from widely differing protocols. A simulation model shows that different methods reported in the literature can yield up to 3-fold variability depending on incubation protocols and methods for integrating measured rates over time and depth. Although attempts have been made to upscale measures of estuarine-coastal APPP, the empirical record is inadequate for yielding reliable global estimates. The record is deficient in three ways. First, it is highly biased by the large number of measurements made in northern Europe (particularly the Baltic region) and North America. Of the 1148 reported values of APPP, 958 come from sites between 30 and 60° N; we found only 36 for sites south of 20° N. Second, of the 131 ecosystems where APPP has been reported, 37% are based on measurements at only one location during 1 year. The accuracy of these values is unknown but probably low, given the large interannual and spatial variability within ecosystems. Finally, global assessments are confounded by measurements that are not intercomparable because they were made with different methods.  Phytoplankton primary production along the continental margins is tightly linked to variability of water quality, biogeochemical processes including ocean–atmosphere CO2 exchange, and production at higher trophic levels including species we harvest as food. The empirical record has deficiencies that preclude reliable global assessment of this key Earth system process. We face two grand challenges to resolve these deficiencies: (1) organize and fund an international effort to use a common method and measure APPP regularly across a network of coastal sites that are globally representative and sustained over time, and (2) integrate data into a unifying model to explain the wide range of variability across ecosystems and to project responses of APPP to regional manifestations of global change as it continues to unfold.\n                    \u003C\u002Fjats:p>",{"EN":5295},"Phytoplankton primary production in the world's estuarine-coastal ecosystems",{"VOID":5297},"10.5194\u002Fbg-11-2477-2014",[102],"https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F11\u002F2477\u002F2014\u002F",[5301,5323,5350],{"id":5302,"sortIndex":36,"researcher":26,"roles":5303,"affiliations":5304,"properties":5316},"714df935-6fa0-433f-9dda-3c7adbb0382f",[],[5305],{"id":5306,"sortIndex":36,"affiliation":5307,"properties":26},"74db1ecc-a69d-4e0d-9e36-33922c244d80",{"id":5308,"createTime":5309,"updateTime":5310,"relativeEntities":5311,"slug":5312,"properties":5313,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"4fb7bd7f-f966-4bdf-9949-8bbea3513f40","2023-12-13T13:07:05.950+00:00","2024-08-31T05:01:27.964+00:00",[],"US-Geological-Survey-Menlo-Park-California-USA",{"title":5314},{"VI":5315},"US Geological Survey, Menlo Park, California USA",{"openalex":5317,"orcid":5319,"title":5321},{"VOID":5318},"A5010706246",{"VOID":5320},"https:\u002F\u002Forcid.org\u002F0000-0002-5880-6862",{"EN":5322},"James E. Cloern",{"id":5324,"sortIndex":115,"researcher":26,"roles":5325,"affiliations":5326,"properties":5343},"d522db22-da6d-488d-81e4-beb48ca2cb78",[],[5327,5337],{"id":5328,"sortIndex":115,"affiliation":5329,"properties":26},"739e0a9a-dc55-432f-b3c2-58f5dd45fe78",{"id":5330,"createTime":5331,"updateTime":5331,"relativeEntities":5332,"slug":5333,"properties":5334,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"e3bf6fc9-fd5e-419f-b608-7c64d23117ec","2024-08-31T05:01:27.975+00:00",[],"now-at-Boston-University-Boston-Massachusetts-USA",{"title":5335},{"EN":5336},"now at: Boston University, Boston, Massachusetts, USA",{"id":5338,"sortIndex":36,"affiliation":5339,"properties":26},"bcc4ea6f-93f4-4e9c-9ee9-dd61354b3d4a",{"id":5308,"createTime":5309,"updateTime":5310,"relativeEntities":5340,"slug":5312,"properties":5341,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":5342},{"VI":5315},{"openalex":5344,"orcid":5346,"title":5348},{"VOID":5345},"A5081183366",{"VOID":5347},"https:\u002F\u002Forcid.org\u002F0000-0003-1325-8708",{"EN":5349},"Sarah Foster",{"id":5351,"sortIndex":114,"researcher":26,"roles":5352,"affiliations":5353,"properties":5360},"d42b48fe-8315-4548-9d49-dcd67674e508",[],[5354],{"id":5355,"sortIndex":36,"affiliation":5356,"properties":26},"77d28552-4afa-47ed-9a52-eb962882214e",{"id":5308,"createTime":5309,"updateTime":5310,"relativeEntities":5357,"slug":5312,"properties":5358,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":5359},{"VI":5315},{"openalex":5361,"title":5363},{"VOID":5362},"A5033864868",{"EN":5364},"Amy E. Kleckner",{"url":26,"publisher":5366,"properties":5396},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":5367,"slug":663,"properties":5368,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":5374,"manageAffiliations":5375,"indexDatabases":5376,"url":753,"thumbnailPath":26,"statistic":5391,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"country":5369,"issn":5370,"introduce":5371,"eissn":5372,"title":5373},{"VOID":666},{"VOID":668},{"EN":670},{"VOID":672},{"EN":663},[],[],[5377,5384],{"id":734,"indexDatabase":5378,"url":749,"indexYears":26,"academicFieldIds":5383,"indexDatabaseRanking":26},{"id":736,"createTime":737,"updateTime":738,"relativeEntities":5379,"label":5380,"description":5381,"key":745,"publicationTags":5382,"standard":26},[],{"EN":741,"VI":741},{"VI":743,"EN":744},[747,748],[751,752],{"id":714,"indexDatabase":5385,"url":727,"indexYears":728,"academicFieldIds":5390,"indexDatabaseRanking":732},{"id":716,"createTime":717,"updateTime":718,"relativeEntities":5386,"label":5387,"description":5388,"key":724,"publicationTags":5389,"standard":26},[],{"EN":721,"VI":721},{"EN":721,"VI":723},[726],[730,731],{"impactFactor":36,"impactFactorByYear":5392,"i10Index":114,"i10IndexLast5Year":36,"totalPublication":59,"totalPublicationByYear":5393,"totalCitation":757,"totalCitationByYear":5394,"totalCitationPerPublication":759,"totalCitationPerPublicationByYear":5395,"hindexLast5Year":59,"hindex":59},{},{},{},{},{"volume":5397,"pages":5399,"issue":5401},{"VOID":5398},"11",{"VOID":5400},"2477-2501",{"VOID":1023},558,{"total":5402,"publishYear":26,"statisticByYear":5404},{"2014":114,"2015":79,"2016":260,"2017":168,"2018":539,"2019":29,"2020":250,"2021":348,"2022":353,"2023":282,"2024":79},[5406,5410,5414,5418,5422,5426,5430,5434,5437,5441,5445,5449,5453,5457,5461,5465,5468,5472,5476,5480,5484,5488,5492,5496,5500,5504,5508,5512,5516,5520,5524,5528,5532,5536,5540,5543,5547,5550,5554,5557,5561,5565,5569,5573,5577,5581,5585,5589,5593,5597,5601,5605,5608,5612,5616,5620,5624,5628,5632,5635,5638,5642,5646,5650,5654,5657,5660,5664,5668,5672,5676,5680,5684,5688,5692,5696,5700,5704,5707,5711,5715,5719,5722,5726,5730,5734,5738,5742,5745,5749,5753,5757,5761,5765,5769,5773,5777,5781,5784,5788,5791,5795,5799,5803,5807,5811,5815,5818,5822,5826,5830,5834,5837,5840,5844,5848,5852,5856,5859,5862,5866,5870,5874,5878,5882,5886,5890,5894,5898,5902,5906,5910,5914,5918,5922,5926,5930,5934,5938,5942,5946,5950,5954,5958,5962,5966,5970,5974,5978,5982,5985,5988,5992,5996,6000,6003,6007,6011,6015,6019,6023,6027,6031,6035,6038,6042,6045,6048,6052,6056,6060,6064,6068,6072,6076,6080,6084,6087,6091,6095,6099,6103,6106,6110,6114,6118,6122,6126],{"id":26,"text":5407,"url":26,"identifiers":5408},"Abreu, P. 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Ser., 44, 167–173, 1988.",{"doi":5417},"10.3354\u002Fmeps044167",{"id":26,"text":5419,"url":26,"identifiers":5420},"Alpine, A. E. and Cloern, J. E.: Trophic interactions and direct physical effects control phytoplankton biomass and production in an estuary, Limnol. Oceanogr., 37, 946–955, 1992.",{"doi":5421},"10.4319\u002Flo.1992.37.5.0946",{"id":26,"text":5423,"url":26,"identifiers":5424},"Anderson, G. C.: The Seasonal and Geographic Distribution of Primary Productivity Off the Washington and Oregon Coasts, Limnol. Oceanogr., 9, 284–302, 1964.",{"doi":5425},"10.4319\u002Flo.1964.9.3.0284",{"id":26,"text":5427,"url":26,"identifiers":5428},"Apollonio, S.: Primary production in Dumbell Bay in the Arctic Ocean, Mar. Biol., 61, 41–51, 1980.",{"doi":5429},"10.1007\u002FBF00410340",{"id":26,"text":5431,"url":26,"identifiers":5432},"Ara, K., Yamaki, K., Wada, K., Fukuyama, S., Okutsu, T., Nagasaka, S., Shiomoto, A., and Hiromi, J.: Temporal variability in physicochemical properties, phytoplankton standing crop and primary production for 7 years (2002–2008) in the neritic area of Sagami Bay, Japan, J. Oceanogr., 67, 87–111, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10872-011-0010-y, 2011.",{"doi":5433},"10.1007\u002Fs10872-011-0010-y",{"id":26,"text":5435,"url":26,"identifiers":5436},"Ǽrtebjerg, G., Jacobsen, T. S., Gargas, E., and Buch, E.: The Belt Project. Evaluation of the physical, chemical and biological measurements, Denmark, 122 pages, ISBN 8750335324 9788750335320, 1981.",{},{"id":26,"text":5438,"url":26,"identifiers":5439},"Azevedo, I., Duarte, P., and Bordalo, A.: Pelagic metabolism of the Douro estuary (Portugal) – Factors controlling primary production, Estuar. Coast. Shelf S., 69, 133–146, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecss.2006.04.002, 2006.",{"doi":5440},"10.1016\u002Fj.ecss.2006.04.002",{"id":26,"text":5442,"url":26,"identifiers":5443},"Bacher, C., Duarte, P., Ferreira, J. G., Heral, M., and Raillard, O.: Assessment and comparison of the Marennes-Oléron Bay (France) and Carlingford Lough (Ireland) carrying capacity with ecosystem models, Aquat. Ecol., 31, 379–394, 1998.",{"doi":5444},"10.1023\u002FA:1009925228308",{"id":26,"text":5446,"url":26,"identifiers":5447},"Banas, N. S., Hickey, B. M., Newton, J. A., and Ruesink, J. L.: Tidal exchange, bivalve grazing, and patterns of primary production in Willapa Bay, Washington, USA, Mar. Ecol.-Prog. Ser., 341, 123–139, https:\u002F\u002Fdoi.org\u002F10.3354\u002Fmeps341123, 2007.",{"doi":5448},"10.3354\u002Fmeps341123",{"id":26,"text":5450,"url":26,"identifiers":5451},"Becacos-Kontos, T.: Primary production and environmental factors in an oligotrophic biome in the Aegean Sea., Mar. Biol., 42, 93–98, 1977.",{"doi":5452},"10.1007\u002FBF00391559",{"id":26,"text":5454,"url":26,"identifiers":5455},"Behrenfeld, M. J. and Falkowski, P. G.: A consumer's guide to phytoplankton primary productivity models, Limnol. Oceanogr., 42, 1479–1491, 1997.",{"doi":5456},"10.4319\u002Flo.1997.42.7.1479",{"id":26,"text":5458,"url":26,"identifiers":5459},"Behrenfeld, M. J., Randerson, J. T., McClain, C. R., Feldman, G. C., Los, S. O., Tucker, C. J., Falkowski, P. G., Field, C. B., Frouin, R., Esaias, W. E., Kolber, D. D., and Pollack, N. H.: Biospheric primary production during an ENSO transition, Science, 291, 2594–2597, https:\u002F\u002Fdoi.org\u002F10.1126\u002Fscience.1055071, 2001.",{"doi":5460},"10.1126\u002Fscience.1055071",{"id":26,"text":5462,"url":26,"identifiers":5463},"Behrenfeld, M. J., Boss, E., Siegel, D. A., and Shea, D. M.: Carbon-based ocean productivity and phytoplankton physiology from space, Global Biogeochem. 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V.: Do We Have Enough Pieces of the Jigsaw to Integrate CO2 Fluxes in the Coastal Ocean?, Estuaries, 28, 3–27, 2005.",{"doi":5475},"10.1007\u002FBF02732750",{"id":26,"text":5477,"url":26,"identifiers":5478},"Bouman, H. A., Nakane, T., Oka, K., Nakata, K., Kurita, K., Sathyendranath, S., and Platt, T.: Environmental controls on phytoplankton production in coastal ecosystems: A case study from Tokyo Bay, Estuar. Coast. Shelf S., 87, 63–72, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecss.2009.12.014, 2010.",{"doi":5479},"10.1016\u002Fj.ecss.2009.12.014",{"id":26,"text":5481,"url":26,"identifiers":5482},"Boynton, W. R., Kemp, W. M., and Keefe, C. W.: A comparative analysis of nutrients and other factors influencing estuarine phytoplankton production, in: Estuarine Comparisons, edited by: Kennedy, V. S., Academic Press, New York, 1982.",{"doi":5483},"10.1016\u002FB978-0-12-404070-0.50011-9",{"id":26,"text":5485,"url":26,"identifiers":5486},"Brussaard, C. P. D.: Viral control of phytoplankton populations – A review, J. Eukaryot. Microbiol., 51, 125–138, 2004.",{"doi":5487},"10.1111\u002Fj.1550-7408.2004.tb00537.x",{"id":26,"text":5489,"url":26,"identifiers":5490},"Bukaveckas, P. A., Barry, L. E., Beckwith, M. J., David, V., and Lederer, B.: Factors Determining the Location of the Chlorophyll Maximum and the Fate of Algal Production within the Tidal Freshwater James River, Estuar. Coast., 34, 569–582, https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12237-010-9372-4, 2011.",{"doi":5491},"10.1007\u002Fs12237-010-9372-4",{"id":26,"text":5493,"url":26,"identifiers":5494},"Burford, M. A., Webster, I. T., Revill, A. T., Kenyon, R. A., Whittle, M., and Curwen, G.: Controls on phytoplankton productivity in a wet-dry tropical estuary, Estuar. Coast. Shelf S., 113, 141–151, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ecss.2012.07.017, 2012.",{"doi":5495},"10.1016\u002Fj.ecss.2012.07.017",{"id":26,"text":5497,"url":26,"identifiers":5498},"Caddy, J. F.: Marine catchment basin effects versus impacts of fisheries on semi-enclosed seas, ICES J. Mar. Sci., 57, 628–640, 2000.",{"doi":5499},"10.1006\u002Fjmsc.2000.0739",{"id":26,"text":5501,"url":26,"identifiers":5502},"Cadée, G. C. and Hegeman, J.: Persisting High Levels of Primary Production at Declining Phosphate Concentrations in the Dutch Coastal Area (Marsdiep), Neth. J. Sea Res., 31, 147–152, 1993.",{"doi":5503},"10.1016\u002F0077-7579(93)90004-C",{"id":26,"text":5505,"url":26,"identifiers":5506},"Caffrey, J. M.: Factors controlling net ecosystem metabolism in US estuaries, Estuaries, 27, 90–101, 2004.",{"doi":5507},"10.1007\u002FBF02803563",{"id":26,"text":5509,"url":26,"identifiers":5510},"Caffrey, J. M., Cloern, J. E., and Grenz, C.: Changes in production and respiration during a spring phytoplankton bloom in San Francisco Bay, California, USA: implications for net ecosystem metabolism, Mar. Ecol.-Prog. Ser., 172, 1–-12, 1998.",{"doi":5511},"10.3354\u002Fmeps172001",{"id":26,"text":5513,"url":26,"identifiers":5514},"Calbet, A.: Mesozooplankton grazing effect on primary production: A global comparative analysis in marine ecosystems, Limnol. Oceanogr., 46, 1824–1830, 2001.",{"doi":5515},"10.4319\u002Flo.2001.46.7.1824",{"id":26,"text":5517,"url":26,"identifiers":5518},"Calbet, A. and Landry, M. R.: Phytoplankton growth, microzooplankton grazing, and carbon cycling in marine systems, Limnol. Oceanogr., 49, 51–57, 2004.",{"doi":5519},"10.4319\u002Flo.2004.49.1.0051",{"id":26,"text":5521,"url":26,"identifiers":5522},"Carstensen, J., Conley, D., and Muller-Karulis, B.: Spatial and temporal resolution of carbon fluxes in a shallow coastal ecosystem, the Kattegat, Mar. Ecol.-Prog. Ser., 252, 35–50, 2003.",{"doi":5523},"10.3354\u002Fmeps252035",{"id":26,"text":5525,"url":26,"identifiers":5526},"Cebrian, J.: Patterns in the fate of production in plant communities, Am. 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M., Perissinotto, R., and Kibirige, I.: Phytoplankton biomass and size structure in two South African eutrophic, temporarily open\u002Fclosed estuaries, Estuar. Coast. Shelf S., 65, 223–238, 2005.",{"doi":6090},"10.1016\u002Fj.ecss.2005.05.015",{"id":26,"text":6092,"url":26,"identifiers":6093},"Thompson, P. A.: Spatial and Temporal Patterns of Factors Influencing Phytoplankton in a Salt Wedge Estuary, the Swan River, Western Australia, Estuaries, 21, 801–817, 1998.",{"doi":6094},"10.2307\u002F1353282",{"id":26,"text":6096,"url":26,"identifiers":6097},"Tillman, U., Hesse, K.-J., and Colijn, F.: Planktonic primary production in the German Wadden Sea, J. Plankton Res., 22, 1253–1276, 2000.",{"doi":6098},"10.1093\u002Fplankt\u002F22.7.1253",{"id":26,"text":6100,"url":26,"identifiers":6101},"Umani, S. 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This paper presents the model SCOPE (Soil Canopy Observation, Photochemistry and Energy fluxes), which is a vertical (1-D) integrated radiative transfer and energy balance model. The model links visible to thermal infrared radiance spectra (0.4 to 50 μm) as observed above the canopy to the fluxes of water, heat and carbon dioxide, as a function of vegetation structure, and the vertical profiles of temperature. Output of the model is the spectrum of outgoing radiation in the viewing direction and the turbulent heat fluxes, photosynthesis and chlorophyll fluorescence. A special routine is dedicated to the calculation of photosynthesis rate and chlorophyll fluorescence at the leaf level as a function of net radiation and leaf temperature. The fluorescence contributions from individual leaves are integrated over the canopy layer to calculate top-of-canopy fluorescence. The calculation of radiative transfer and the energy balance is fully integrated, allowing for feedback between leaf temperatures, leaf chlorophyll fluorescence and radiative fluxes. Leaf temperatures are calculated on the basis of energy balance closure. Model simulations were evaluated against observations reported in the literature and against data collected during field campaigns. These evaluations showed that SCOPE is able to reproduce realistic radiance spectra, directional radiance and energy balance fluxes. The model may be applied for the design of algorithms for the retrieval of evapotranspiration from optical and thermal earth observation data, for validation of existing methods to monitor vegetation functioning, to help interpret canopy fluorescence measurements, and to study the relationships between synoptic observations with diurnally integrated quantities. The model has been implemented in Matlab and has a modular design, thus allowing for great flexibility and scalability.\n                    \u003C\u002Fjats:p>",{"EN":6144},"An integrated model of soil-canopy spectral radiances, photosynthesis, fluorescence, temperature and energy balance",{"VOID":6146},"10.5194\u002Fbg-6-3109-2009",[102],"https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F6\u002F3109\u002F2009\u002F",[6150,6171,6188,6205,6222],{"id":6151,"sortIndex":36,"researcher":26,"roles":6152,"affiliations":6153,"properties":6164},"dd6fd8cd-5987-4576-8954-47a6a12def24",[],[6154],{"id":6155,"sortIndex":36,"affiliation":6156,"properties":26},"5531f954-42d0-4dee-9202-8ffa5b162aad",{"id":6157,"createTime":6158,"updateTime":6158,"relativeEntities":6159,"slug":6160,"properties":6161,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"26ce1513-6bf6-4b9b-85bc-d976a825579b","2024-09-24T15:40:15.763+00:00",[],"ITC-International-Institute-for-Geo-Information-Science-and-Earth-Observations-Hengelosestraat-99-P-O-Box-6-7500-AA-Enschede-The-Netherlands",{"title":6162},{"EN":6163},"ITC International Institute for Geo-Information Science and Earth Observations, Hengelosestraat 99, P.O. 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Geophys. Res., 107(D6), 4050, https:\u002F\u002Fdoi.org\u002F10.1029\u002F2001JD001242, 2002.",{"doi":6343},"10.1029\u002F2001JD001242",{"id":26,"text":6345,"url":26,"identifiers":6346},"Guilioni, L., Jones, H. G., Leinonen, I., and Lhomme, J.-P.: On the relationships between stomatal resistance and leaf temperatures in thermography, Agr. Forest Meteorol., 148, 1908–1912, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.agrformet.2008.07.009, 2008.",{"doi":6347},"10.1016\u002Fj.agrformet.2008.07.009",{"id":26,"text":6349,"url":26,"identifiers":6350},"Hall, F. G., Huemmrich, K. F., Goetz, S. J., Sellers, P. J., and Nickeson, J. E.: Satellite remote sensing of surface energy balance: success, failures, and unresolved issues in FIFE, J. Geophys. Res., 97(D17), 19061–19089, 1992.",{"doi":6351},"10.1029\u002F92JD02189",{"id":26,"text":6353,"url":26,"identifiers":6354},"Houldcroft, C.: Measuring and modeling the surface temperature and structure of a maize canopy, Ph.D. thesis, The University of Reading, UK, 235 pp., 2004.",{},{"id":26,"text":6356,"url":26,"identifiers":6357},"Jacquemoud, S. and Baret, F.: PROSPECT: A model of leaf optical properties spectra, Remote Sens. Environ., 34, 75–91, 1990.",{"doi":6358},"10.1016\u002F0034-4257(90)90100-Z",{"id":26,"text":6360,"url":26,"identifiers":6361},"Jacquemoud, S., Bacour, C., Poilvé, H., and Frangi, J.-P.: Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode, Remote Sens. Environ., 74, 471–481, 2000.",{"doi":6362},"10.1016\u002FS0034-4257(00)00139-5",{"id":26,"text":6364,"url":26,"identifiers":6365},"Kull, O. and Kruyt, B.: Acclimation of photosynthesis to light: a mechanistic approach, Funct. Ecol., 13(1), 24–36, 1998.",{"doi":6366},"10.1046\u002Fj.1365-2435.1999.00292.x",{"id":26,"text":6368,"url":26,"identifiers":6369},"Kustas, W. P., Anderson, M. C., French, A. N., and Vickers, D.: Using a remote sensing field experiment to investigate flux-footprint relations and flux sampling distributions for tower and aircraft-based observations, Adv. Water Resour., 29, 355–368, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.advwatres.2005.05.003, 2006.",{"doi":6370},"10.1016\u002Fj.advwatres.2005.05.003",{"id":26,"text":6372,"url":26,"identifiers":6373},"Kustas, W. P., Anderson, M. C., Norman, J. M., and Li, F.: Utility of radiometric-aerodynamic temperature relations for heat flux estimation, Bound.-Lay. Meteorol., 122, 167–187, 2007.",{"doi":6374},"10.1007\u002Fs10546-006-9093-1",{"id":26,"text":6376,"url":26,"identifiers":6377},"Lloyd, J. and Farquhar, G.: 13C discrimination during CO2 assimilation by the terrestrial biosphere, Oecologia, 99, 201–215, 1994.",{"doi":6378},"10.1007\u002FBF00627732",{"id":26,"text":6380,"url":26,"identifiers":6381},"Mäkelä, A., Hari, P., Berninger, F., Hänninen, H., and Nikinmaa, E.: Acclimation of photosyn-thetic capacity in Scots pine to the annual cycle of temperature, Tree Physiol., 24, 369–376, 2004.",{"doi":6382},"10.1093\u002Ftreephys\u002F24.4.369",{"id":26,"text":6384,"url":26,"identifiers":6385},"Miller, J., Berger, M., Goulas, Y., Jacquemoud, S., Louis, J., Mohammed, G., Moise, N., Moreno, J., Moya, I., Pedrós, R., Verhoef, W., and Zarco-Tejada, P.: Development of a Vegetation Fluorescence Canopy Model, ESTEC Contract No. 16365\u002F02\u002FNL\u002FFF, Final Report, 138 pp., 2005.",{},{"id":26,"text":6387,"url":26,"identifiers":6388},"Nikolov, N. T., Massman, W. J., and Schoettle, A. W.: Coupling biochemical and biophysical processes at the leaf level: an equilibrium photosynthesis model for leaves of C3 plants, Ecol. Model., 80, 205–235, https:\u002F\u002Fdoi.org\u002F10.1016\u002F0304-3800(94)00072-P, 1995.",{"doi":6389},"10.1016\u002F0304-3800(94)00072-P",{"id":26,"text":6391,"url":26,"identifiers":6392},"Norman, J. M.: Modeling the complete crop canopy, in: Modification of the aerial environment of plants, edited by: Barfield, B. J. and Gerber, J. F., ASAE Monogr. Am. Soc. Agric. Engr., St. Joseph, MI, 249–277, 1979.",{},{"id":26,"text":6394,"url":26,"identifiers":6395},"Norman, J. N. and Becker, F.: Terminology in thermal infrared remote sensing of natural surfaces, Agr. Forest Meteorol., 77, 153–166, https:\u002F\u002Fdoi.org\u002F10.1016\u002F0168-1923(95)02259-Z, 1995.",{"doi":6396},"10.1016\u002F0168-1923(95)02259-Z",{"id":26,"text":6398,"url":26,"identifiers":6399},"Rascher, U., Gioli, B., and Miglietta, F.: FLEX – Fluorescence Explorer: A Remote Sensing Approach to Quantify Spatio-Temporal Variations of Photosynthetic Efficiency from Space, in: "Photosynthesis. Energy from the Sun, 14th International Congress on Photosynthesis", edited by: Allen, J. F., Gantt, E., Golbeck, J. H., and Osmond, B., Springer, Netherlands, 2008.",{},{"id":26,"text":6401,"url":26,"identifiers":6402},"Reich, P. B., Ellsworth, D. S., Walters, M. B., Vose, J. M., Gresham, C., Volin, J. C., and Bowman, W. D.: Generality of leaf trait relationships: a test across six biomes, Ecology, 80, 1955–1969, 1999.",{"doi":6403},"10.1890\u002F0012-9658(1999)080[1955:GOLTRA]2.0.CO;2",{"id":26,"text":6405,"url":26,"identifiers":6406},"Sellers, P. J., Dickinson, R. E., Randall, D. A., Betts, A., Hall, F., Berry, J., Collatz, G., Denning, A., Mooney, H., Nobre, C., Sato, N., Field, C., and Henderson-Sellers, A.: Modeling the exchanges of energy, water, and carbon between continents and the atmosphere, Science, 275(5299), 502–509, 1997.",{},{"id":26,"text":6408,"url":26,"identifiers":6409},"Smolander, H. and Stenberg, P.: A method to account for shoot scale clumping in coniferous canopy reflectance models, Remote Sens. Environ., 88, 363–373, https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rse.2003.06.003, 2003.",{"doi":6410},"10.1016\u002Fj.rse.2003.06.003",{"id":26,"text":6412,"url":26,"identifiers":6413},"Su, Z.: The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes, Hydrol. Earth Syst. Sci., 6, 85–100, 2002.",{"doi":6414},"10.5194\u002Fhess-6-85-2002",{"id":26,"text":6416,"url":26,"identifiers":6417},"Su, Z., Timmermans, W. J., Gieske, A., Jia, L., Elbers, J. A., Olioso, A., Timmermans, J., Van der Velde, R., Jin, X.,Van der Kwast, H., Nerry, F., Sabol, D., Sobrino, J. A., Moreno, J., and Bianchi, R.: Quantification of land-atmosphere exchanges of water, energy and carbon dioxide in space and time over the heterogeneous Barrax site, Int. J. Remote Sens., 29(17), 5215–5235, 2008.",{"doi":6418},"10.1080\u002F01431160802326099",{"id":26,"text":6420,"url":26,"identifiers":6421},"",{},{"id":26,"text":6423,"url":26,"identifiers":6424},"Timmermans, J., Van der Tol, C., Verhoef, W., and Su, Z.: Contact and directional radiative temperature measurements of sunlit and shaded land surface components during the SEN2FLEX 2005 campaign, Int. J. Remote Sens., 29(17–18), 5183–5192, 2008.",{"doi":6425},"10.1080\u002F01431160802036599",{"id":26,"text":6427,"url":26,"identifiers":6428},"Tuzet, A., Perrier, A., and Leuning, R.: A coupled model of stomatal conductance, photo-synthesis and transpiration, Plant Cell Environ., 26, 1097–1116, 2003.",{"doi":6429},"10.1046\u002Fj.1365-3040.2003.01035.x",{"id":26,"text":6431,"url":26,"identifiers":6432},"Van der Tol, C., Verhoef, W., and Rosema, A.: A model for chlorophyll fluorescence and photosynthesis at leaf scale, Agr. Forest Meteorol., 149(1), 96–105, 2009.",{"doi":6433},"10.1016\u002Fj.agrformet.2008.07.007",{"id":26,"text":6435,"url":26,"identifiers":6436},"Verhoef, W.: Light scattering by leaves with application to canopy reflectance modelling: the SAIL model, Remote Sens. Environ., 16, 125–178, 1984.",{"doi":6437},"10.1016\u002F0034-4257(84)90057-9",{"id":26,"text":6439,"url":26,"identifiers":6440},"Verhoef, W.: Theory of radiative transfer models applied in optical remote sensing of vegetation canopies, Ph.D. thesis, Wageningen Agricultural University, 1998.",{},{"id":26,"text":6442,"url":26,"identifiers":6443},"Verhoef, A. and Allen, S. J.: A SVAT scheme describing energy and CO2 fluxes for multi-component vegetation: calibration and test for a Sahelian savannah, Ecol Model., 127, 245–267, 2000.",{"doi":6444},"10.1016\u002FS0304-3800(99)00213-6",{"id":26,"text":6446,"url":26,"identifiers":6447},"Verhoef, W. and Bach, H.: Remote sensing data assimilation using coupled radiative transfer models, Phys. Chem. Earth Pt. 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S. and Verhoef, A.: Modelling interactions in mixed-plant communities: light, water and carbon dioxide, in: Leaf Development and Canopy Growth, edited by: Marshall, B. and Roberts, J. A., Sheffield Academic Press, UK, 2000.",{},{"id":26,"text":6465,"url":26,"identifiers":6466},"Wullschleger, S. D.: Biochemical limitations to carbon assimilation in C3 plants – A retrospective analysis of the A\u002FCi curves from 109 species, J. Exp. Bot., 44, 907–920, 1993.",{"doi":6467},"10.1093\u002Fjxb\u002F44.5.907",{"id":6469,"createTime":6470,"updateTime":6470,"relativeEntities":6471,"slug":6472,"properties":6473,"entityType":782,"verifyStatus":25,"verifyTime":6470,"verifyNote":783,"syncStatus":28,"languages":6485,"translateLanguages":26,"viewCount":36,"primaryUrl":6486,"fullTextUrl":26,"authors":6487,"publicationType":989,"publisherRelationship":6627,"citationCount":6664,"citationInfo":6665,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":6669,"isForceReanalyzing":1229},"a1ce9275-8828-40d8-b2c6-8f03e3b0c68c","2024-10-01T05:24:09.575+00:00",[],"Subsidence-and-carbon-loss-in-drained-tropical-peatlands",{"mag":6474,"keywords":6476,"openalex":6477,"abstract":6479,"title":6481,"doi":6483},{"VOID":6475},"2107193166",{},{"VOID":6478},"W2107193166",{"EN":6480},"\u003Cjats:p>Abstract. Conversion of tropical peatlands to agriculture leads to a release of carbon from previously stable, long-term storage, resulting in land subsidence that can be a surrogate measure of CO2 emissions to the atmosphere. We present an analysis of recent large-scale subsidence monitoring studies in Acacia and oil palm plantations on peatland in SE Asia, and compare the findings with previous studies. Subsidence in the first 5 yr after drainage was found to be 142 cm, of which 75 cm occurred in the first year. After 5 yr, the subsidence rate in both plantation types, at average water table depths of 0.7 m, remained constant at around 5 cm yr−1. The results confirm that primary consolidation contributed substantially to total subsidence only in the first year after drainage, that secondary consolidation was negligible, and that the amount of compaction was also much reduced within 5 yr. Over 5 yr after drainage, 75 % of cumulative subsidence was caused by peat oxidation, and after 18 yr this was 92 %. The average rate of carbon loss over the first 5 yr was 178 t CO2eq ha−1 yr−1, which reduced to 73 t CO2eq ha−1 yr−1 over subsequent years, potentially resulting in an average loss of 100 t CO2eq ha−1 yr−1 over 25 yr. Part of the observed range in subsidence and carbon loss values is explained by differences in water table depth, but vegetation cover and other factors such as addition of fertilizers also influence peat oxidation. A relationship with groundwater table depth shows that subsidence and carbon loss are still considerable even at the highest water levels theoretically possible in plantations. This implies that improved plantation water management will reduce these impacts by 20 % at most, relative to current conditions, and that high rates of carbon loss and land subsidence are inevitable consequences of conversion of forested tropical peatlands to other land uses.\n                    \u003C\u002Fjats:p>",{"EN":6482},"Subsidence and carbon loss in drained tropical peatlands",{"VOID":6484},"10.5194\u002Fbg-9-1053-2012",[102],"https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F9\u002F1053\u002F2012\u002F",[6488,6509,6528,6547,6569,6589,6608],{"id":6489,"sortIndex":135,"researcher":26,"roles":6490,"affiliations":6491,"properties":6502},"438f4ff7-ec3a-4ab9-acb4-1acaef118446",[],[6492],{"id":6493,"sortIndex":36,"affiliation":6494,"properties":26},"1907c398-5dd4-4bb9-bbf8-8db3dbca0b10",{"id":6495,"createTime":6496,"updateTime":6496,"relativeEntities":6497,"slug":6498,"properties":6499,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"cfc86e36-1052-4d62-9cd2-a11aa40bc9a9","2024-10-01T05:24:09.645+00:00",[],"Center-for-Wetlands-People-and-Biodiversity-Tanjungpura-University-Pontianak-Indonesia",{"title":6500},{"EN":6501},"Center for Wetlands People and Biodiversity, Tanjungpura University, Pontianak, Indonesia",{"openalex":6503,"orcid":6505,"title":6507},{"VOID":6504},"A5004694469",{"VOID":6506},"https:\u002F\u002Forcid.org\u002F0000-0001-9639-0266",{"EN":6508},"Gusti Z. 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Relative to inorganic nitrogen, concentrations of dissolved organic nitrogen (DON) are often high, even in regions believed to be nitrogen-limited. The persistence of these high concentrations led to the view that the DON pool was largely refractory and therefore unimportant to plankton nutrition. Any DON that was utilized was believed to fuel bacterial production. More recent work, however, indicates that fluxes into and out of the DON pool can be large, and that the constancy in concentration is a function of tightly coupled production and consumption processes. Evidence is also accumulating which indicates that phytoplankton, including a number of harmful species, may obtain a substantial part of their nitrogen nutrition from organic compounds. 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Shelf Sci., 61, 507–515, 2004.",{"doi":7637},"10.1016\u002Fj.ecss.2004.06.014",{"id":26,"text":7639,"url":26,"identifiers":7640},"Vives-Rego, J., Lebaron, P., and Nebe-von Caron, G.: Current and future applications of flow cytometry in aquatic microbiology, FEMS Microbiol. Rev., 24, 429–448, 2000.",{"doi":7641},"10.1111\u002Fj.1574-6976.2000.tb00549.x",{"id":26,"text":7643,"url":26,"identifiers":7644},"Wallner, G., Fuchs, B., Spring, S., Beisker, W., and Amann, R.: Flow sorting of microorganisms for molecular analysis, Appl. Environ. Microb., 63, 4223–4231, 1997.",{"doi":7645},"10.1128\u002FAEM.63.11.4223-4231.1997",{"id":26,"text":7647,"url":26,"identifiers":7648},"Wheeler, P. A. and Kirchman, D. L.: Utilization of inorganic and organic nitrogen by bacteria in marine systems, Limnol. Oceanogr., 31, 998–1009, 1986.",{"doi":7649},"10.4319\u002Flo.1986.31.5.0998",{"id":26,"text":7651,"url":26,"identifiers":7652},"Wheeler, P. A., North, B. B., and Stephens, G. 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J.: Flow cytometry and cell sorting: A technique for analysis and sorting of aquatic particles, Limnol. Oceanogr., 28, 1275–1280, 1983.",{"doi":7665},"10.4319\u002Flo.1983.28.6.1275",{"id":26,"text":7667,"url":26,"identifiers":7668},"Zehr, J. P. and Ward, B. B.: Nitrogen cycling in the ocean: new perspectives on processes and paradigms, Appl. Environ. Microb., 68, 1015–1024, 2002.",{"doi":7669},"10.1128\u002FAEM.68.3.1015-1024.2002",{"id":26,"text":7671,"url":26,"identifiers":7672},"Zinser, E. R., Coe, A., Johnson, Z. I., Martiny, A. C., Fuller, N. J., Scanlan, D. J., and Chisholm, S. W.: \\\\textitProchlorococcus ecotype abundances in the North Atlantic Ocean as revealed by an improve quantitative PCR method, Appl. Environ. Microb., 72, 723–732, 2006.",{"doi":7673},"10.1128\u002FAEM.72.1.723-732.2006",{"id":26,"text":7675,"url":26,"identifiers":7676},"Zubkov, M. V. and Tarran, G. A.: Amino acid uptake of \\\\textitProchlorococcus spp. in surface waters across the South Atlantic Subtropical Front, Aquat. Microb. Ecol., 40, 241–249, 2005.",{"doi":7677},"10.3354\u002Fame040241",{"id":7679,"createTime":7680,"updateTime":7680,"relativeEntities":7681,"slug":7682,"properties":7683,"entityType":782,"verifyStatus":25,"verifyTime":7695,"verifyNote":783,"syncStatus":28,"languages":7696,"translateLanguages":26,"viewCount":36,"primaryUrl":7697,"fullTextUrl":26,"authors":7698,"publicationType":989,"publisherRelationship":7997,"citationCount":8033,"citationInfo":8034,"publishDate":26,"publishYear":26,"citationAnalyzeStatus":28,"lastCitationAnalyze":26,"indexDatabases":26,"openAccess":26,"references":8036,"isForceReanalyzing":1229},"5466b2f6-dc6b-47c1-bc7f-496ff8353a08","2024-11-27T19:40:41.685+00:00",[],"Improving-land-surface-models-with-FLUXNET-data",{"mag":7684,"keywords":7686,"openalex":7687,"abstract":7689,"title":7691,"doi":7693},{"VOID":7685},"2111537121",{},{"VOID":7688},"W2111537121",{"EN":7690},"\u003Cjats:p>Abstract. There is a growing consensus that land surface models (LSMs) that simulate terrestrial biosphere exchanges of matter and energy must be better constrained with data to quantify and address their uncertainties. FLUXNET, an international network of sites that measure the land surface exchanges of carbon, water and energy using the eddy covariance technique, is a prime source of data for model improvement. Here we outline a multi-stage process for \"fusing\" (i.e. linking) LSMs with FLUXNET data to generate better models with quantifiable uncertainty. First, we describe FLUXNET data availability, and its random and systematic biases. We then introduce methods for assessing LSM model runs against FLUXNET observations in temporal and spatial domains. These assessments are a prelude to more formal model-data fusion (MDF). MDF links model to data, based on error weightings. In theory, MDF produces optimal analyses of the modelled system, but there are practical problems. We first discuss how to set model errors and initial conditions. In both cases incorrect assumptions will affect the outcome of the MDF. We then review the problem of equifinality, whereby multiple combinations of parameters can produce similar model output. Fusing multiple independent and orthogonal data provides a means to limit equifinality. We then show how parameter probability density functions (PDFs) from MDF can be used to interpret model validity, and to propagate errors into model outputs. Posterior parameter distributions are a useful way to assess the success of MDF, combined with a determination of whether model residuals are Gaussian. If the MDF scheme provides evidence for temporal variation in parameters, then that is indicative of a critical missing dynamic process. A comparison of parameter PDFs generated with the same model from multiple FLUXNET sites can provide insights into the concept and validity of plant functional types (PFT) – we would expect similar parameter estimates among sites sharing a single PFT. We conclude by identifying five major model-data fusion challenges for the FLUXNET and LSM communities: (1) to determine appropriate use of current data and to explore the information gained in using longer time series; (2) to avoid confounding effects of missing process representation on parameter estimation; (3) to assimilate more data types, including those from earth observation; (4) to fully quantify uncertainties arising from data bias, model structure, and initial conditions problems; and (5) to carefully test current model concepts (e.g. PFTs) and guide development of new concepts.\u003C\u002Fjats:p>",{"EN":7692},"Improving land surface models with FLUXNET data",{"VOID":7694},"10.5194\u002Fbg-6-1341-2009","2024-11-27T19:40:41.684+00:00",[102],"https:\u002F\u002Fbg.copernicus.org\u002Farticles\u002F6\u002F1341\u002F2009\u002F",[7699,7721,7743,7765,7784,7806,7828,7849,7866,7888,7905,7922,7937,7956,7978],{"id":7700,"sortIndex":162,"researcher":26,"roles":7701,"affiliations":7702,"properties":7714},"3477215c-1882-41ca-9b87-0dc4de5829ca",[],[7703],{"id":7704,"sortIndex":36,"affiliation":7705,"properties":26},"c93bcf00-5d7a-49b5-851b-8659f5cd9ac8",{"id":7706,"createTime":7707,"updateTime":7708,"relativeEntities":7709,"slug":7710,"properties":7711,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"82d4cfdc-fca0-4544-9aa0-92abf57c0441","2024-10-08T21:57:18.711+00:00","2024-11-27T19:40:41.764+00:00",[],"Laboratory-of-Plant-Ecology-Ghent-University-Belgium",{"title":7712},{"EN":7713},"Laboratory of Plant Ecology, Ghent University, Belgium",{"openalex":7715,"orcid":7717,"title":7719},{"VOID":7716},"A5084516273",{"VOID":7718},"https:\u002F\u002Forcid.org\u002F0000-0003-1490-0168",{"EN":7720},"Hans Verbeeck",{"id":7722,"sortIndex":135,"researcher":26,"roles":7723,"affiliations":7724,"properties":7736},"051b94c5-d4be-42ce-99c0-9b81263f9b82",[],[7725],{"id":7726,"sortIndex":36,"affiliation":7727,"properties":26},"97ed775a-4497-4fa7-bab3-fbf7ff21159e",{"id":7728,"createTime":7729,"updateTime":7730,"relativeEntities":7731,"slug":7732,"properties":7733,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"f3c89628-66a3-4401-9acc-a85f792cbcba","2024-09-19T04:33:31.036+00:00","2024-11-27T19:40:41.699+00:00",[],"Research-Group-Biogeochemical-Model-data-Integration-Dr-M-Reichstein-Max-Planck-Institute-for-Biogeochemistry-Max-Planck-Society",{"title":7734},{"EN":7735},"Research Group Biogeochemical Model-data Integration, Dr. M. 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