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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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A (2011) History, current status and future prospects of uneven-aged forest management in the Dinaric region: an overview. Forestry 84(5):467–478",{"doi":875},"10.1093\u002Fforestry\u002Fcpr023",{"id":26,"text":877,"url":26,"identifiers":878},"Chang SJ (1981) Determination of the optimal growing stock and cutting cycle for an uneven-aged stand. Forest Sci 27(4):739–744",{},{"id":26,"text":880,"url":26,"identifiers":881},"Chang SJ (1990) An economic comparison of even-aged and uneven-aged management of southern pines in the mid-South. In: Hickman CA (ed) Proceedings of the Southern Forest Economics Workshop on Evaluating Even- and All-Aged Timber Management Options for Southern Forest Lands, March 29-30, 1990, Monroe, LA. USDA Forest Service, Southern Experimental Station, New Orleans, pp 45–52",{},{"id":26,"text":883,"url":26,"identifiers":884},"Cooper WW, Seiford LM, Zhu J (2011) Data envelopment analysis. History, models and interpretations. In: Cooper WW, Seiford LM, Zhu J (eds) Handbook on data envelopment analysis, International series in Operational Research & Management Science 164, doi: 10.1007\u002F978-1-14419-6151-8_1 . Springer Science + Business Media. pp 1–39",{},{"id":26,"text":886,"url":26,"identifiers":887},"Diaci J, Kerr G, O’Hara K (2011) Twenty-first century forestry: integrating ecologically based, uneven-aged silviculture with increased demands on forests. Forestry 84(5):463–465",{"doi":888},"10.1093\u002Fforestry\u002Fcpr053",{"id":26,"text":890,"url":26,"identifiers":891},"Fürstenau C, Badek FW, Lasch P, Lexer MJ, Linder M, Mohr P, Suckow F (2007) Multiple-use forest management in consideration of climate change and the interests of stakeholder groups. Eur J Forest Res 126:225–239",{"doi":892},"10.1007\u002Fs10342-006-0114-x",{"id":26,"text":894,"url":26,"identifiers":895},"Gadow Kv, Kurttila M, Leskinen P, Leskinen L, Nuutinen T, Pukkala T (2007) Designing forested landscapes to provide multiple services. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources 2007 (2), No. 038: 1-15",{},{"id":26,"text":897,"url":26,"identifiers":898},"Haight RG, Monserud RA (1990) Optimizing any-aged management of mixed-species stands. I. Performance of a coordinate search process. Can J Forest Res 20(1):15–25",{"doi":899},"10.1139\u002Fx90-003",{"id":26,"text":901,"url":26,"identifiers":902},"Laasasenaho J (1982) Taper curve and volume equations for pine spruce and birch. Communications Instuti Forestalis Fenniae 108:1–74",{},{"id":26,"text":904,"url":26,"identifiers":905},"Laiho O, Lähde E, Pukkala T (2011) Uneven- vs. even-aged management in Finnish boreal forests. Forestry 84(5):547–556",{"doi":906},"10.1093\u002Fforestry\u002Fcpr032",{"id":26,"text":908,"url":26,"identifiers":909},"Liski J, Tuomi M, Rasinmäki J (2009) Yasso07 user-interface manual. Finnish Environment Institute. 12 pp + Appendix",{},{"id":26,"text":911,"url":26,"identifiers":912},"Lundmark T, Bergh J, Nordin A, Fahlvik N, Poudel BC (2016) Comparison of carbon balances between continuous-civer and clear-cut forestry in Sweden. Ambio 14(suppl2):203–213",{"doi":913},"10.1007\u002Fs13280-015-0756-3",{"id":26,"text":915,"url":26,"identifiers":916},"Miina J, Hotanen J-P, Salo K (2009) Modelling the abundance and temporal variation in the production of bilberry (Vaccinium myrtillus L.) in Finnish mineral soil forests. Silva Fennica 43:577–593",{"doi":917},"10.14214\u002Fsf.181",{"id":26,"text":919,"url":26,"identifiers":920},"Miina J, Pukkala T, Kurttila M (2016) Optimal multi-product management of stands producing timber and wild berries., Manuscript",{},{"id":26,"text":922,"url":26,"identifiers":923},"O’Hara KL (2011) The historical development of uneven-aged silviculture in North America. Forestry 84(5):339–346",{},{"id":26,"text":925,"url":26,"identifiers":926},"Pukkala T (2004) Dealing with ecological objectives in the Monsu planning system. Silva Lusitana XII, Special issue (2004): 1-15",{},{"id":26,"text":928,"url":26,"identifiers":929},"Pukkala T (2014) Does biofuel harvesting and continuous cover management increase carbon sequestration? Forest Policy Econom 43:41–50",{"doi":930},"10.1016\u002Fj.forpol.2014.03.004",{"id":26,"text":932,"url":26,"identifiers":933},"Pukkala T (2016) Plenterwald, Dauerwald, or clearcut? Forest Policy Econ 62:125–134",{"doi":934},"10.1016\u002Fj.forpol.2015.09.002",{"id":26,"text":936,"url":26,"identifiers":937},"Pukkala T, Lähde E, Laiho O, Salo K, Hotanen J-P (2011) A multifunctional comparison of even-aged and uneven-aged forest management in a boreal region. Can J Forest Res 41:851–862",{"doi":938},"10.1139\u002Fx11-009",{"id":26,"text":940,"url":26,"identifiers":941},"Pukkala T, Sulkava R, Lähde E, Jaakkola L (2012) Relationships between economic profitability and habitat quality of Siberian jay in uneven-aged Norway spruce forest. Forest Ecol Manage 276:224–230",{"doi":942},"10.1016\u002Fj.foreco.2012.04.006",{"id":26,"text":944,"url":26,"identifiers":945},"Pukkala T, Lähde E, Laiho O (2013) Species interactions in the dynamics of even- and uneven-aged boreal forests. J Sustain Forest 32:1–33",{"doi":946},"10.1080\u002F10549811.2013.770766",{"id":26,"text":948,"url":26,"identifiers":949},"Puettmann KJ, Wilson S, Baker SC, Donoso PJ, Drössler L, Amente G, Harvey BD, Knoke T, Lu Y, Nocentini S, Putz FE, Yoshida T, Bauhus J (2015) Silvicultural alternatives to conventional even-aged forest management - what limits global adoption? Forest Ecosystems 2:8",{"doi":950},"10.1186\u002Fs40663-015-0031-x",{"id":26,"text":952,"url":26,"identifiers":953},"Repola J (2009) Biomass equations for Scots pine and Norway spruce in Finland. Silva Fennica 43(4):625–647",{"doi":954},"10.14214\u002Fsf.184",{"id":26,"text":956,"url":26,"identifiers":957},"Repola J, Ojansuu R, Kukkola M (2007) Biomass functions for Scots pine, Norway spruce and birch in Finland. Working Papers of the Finnish Forest Research Institute 53. pp. 28",{},{"id":26,"text":959,"url":26,"identifiers":960},"Rummukainen A, Alanne H, Mikkonen E (1995) Wood procurement in the pressure of change – resource evaluation model till year 2010. Acta Forestalia Fennica 248:1–98",{},{"id":26,"text":962,"url":26,"identifiers":963},"Salo K (2015) Metsä – Monikäyttö ja ekosysteemipalvelut. Natural Resources Institute Finland. Joensuu, Finland, p. 326",{},{"id":26,"text":965,"url":26,"identifiers":966},"Schütz J-P, Pukkala T, Donoso PJ, Gadow Kv. 2012. Historical emergence and current application if CCF, in: Pukkala, T, von Gadow, K. (eds.), Continuous Cover Forestry. Springer. Dordrecht, The Netherlands, ISBN 978-94-007-2201-9, pp. 1–28",{"doi":967},"10.1007\u002F978-94-007-2202-6_1",{"id":26,"text":969,"url":26,"identifiers":970},"Siiskonen H (2007) The conflict between traditional and scientific forest management in 20th century Finland. Forest Ecol Manage 249:125–133",{"doi":971},"10.1016\u002Fj.foreco.2007.03.018",{"id":26,"text":973,"url":26,"identifiers":974},"Silvennoinen H, Alho J, Kolehmainen O, Pukkala T (2001) Prediction models of landscape preferences at the forest stand level. Landscape Urban Plann 56(1-2):11–20",{"doi":975},"10.1016\u002FS0169-2046(01)00163-3",{"id":26,"text":977,"url":26,"identifiers":978},"Silvennoinen H, Pukkala T, Tahvanainen L (2002) Effect of cuttings on the scenic beauty of a tree stand. Scand J Forest Res 17:263–273",{"doi":979},"10.1080\u002F028275802753742936",{"id":26,"text":981,"url":26,"identifiers":982},"Tahvonen O (2009) Optimal choice between even- and uneven-aged forestry. Nat Res Model 21(4):525–550",{"doi":983},"10.1111\u002Fj.1939-7445.2008.00022.x",{"id":26,"text":985,"url":26,"identifiers":986},"Thompson RG, Langemeier L, Lee C, Lee E, Thrall R (1990) The role of multiplier bounds in efficiency analysis with application to Kansas farming. J Econometrics 46:93–108",{"doi":987},"10.1016\u002F0304-4076(90)90049-Y",{"id":26,"text":989,"url":26,"identifiers":990},"Tikkanen O-P, Heinonen T, Kouki J, Matero J (2007) Habitat suitability models of saproxylic red-listed boreal forest species in long-term managements: cost effective measures for multi-species conservation. Biol Conserv 140:359–372",{"doi":991},"10.1016\u002Fj.biocon.2007.08.020",{"id":26,"text":993,"url":26,"identifiers":994},"Tuomi M, Rasinmäki J, Repo A, Vanhala P, Liski J (2011) Soil carbon model Yasso07 graphical user interface. Environ Model Softw 26(11):1358–1362",{"doi":995},"10.1016\u002Fj.envsoft.2011.05.009",{"id":26,"text":997,"url":26,"identifiers":998},"Turtiainen M, Miina J, Salo K, Hotanen J-P (2013) Empirical prediction models for the coverage and yields of cowberry in Finland. Silva Fenn 47(3):22",{"doi":999},"10.14214\u002Fsf.1005",{"id":26,"text":1001,"url":26,"identifiers":1002},"Wehenkel C, Corral-Rivas JJ, Gadow K (2014) Quantifying differences between ecosystems with particular reference to selection forests in Durango\u002FMexico. Forest Ecol Manag 316:117–124",{"doi":1003},"10.1016\u002Fj.foreco.2013.05.056",{"id":26,"text":1005,"url":26,"identifiers":1006},"Zhu J (1996) Data envelopment analysis with preference structure. J Operat Rese Soc 47(1):136–150",{"doi":1007},"10.1057\u002Fjors.1996.12",false,{"id":1010,"createTime":1011,"updateTime":1012,"relativeEntities":1013,"slug":1014,"properties":1015,"entityType":806,"verifyStatus":25,"verifyTime":1012,"verifyNote":807,"syncStatus":28,"languages":1027,"translateLanguages":26,"viewCount":36,"primaryUrl":1028,"fullTextUrl":26,"authors":1029,"publicationType":833,"publisherRelationship":1065,"citationCount":357,"citationInfo":1093,"publishDate":1095,"publishYear":1096,"citationAnalyzeStatus":1097,"lastCitationAnalyze":1098,"indexDatabases":26,"openAccess":26,"references":1099,"isForceReanalyzing":1008},"4a55a75c-7a21-476f-9771-f99cacb53845","2024-04-13T05:30:16.410+00:00","2025-01-08T02:59:43.444+00:00",[],"Review-on-carbon-storage-estimation-of-forest-ecosystem-and-applications-in-China",{"mag":1016,"keywords":1018,"openalex":1019,"abstract":1021,"title":1023,"doi":1025},{"VOID":1017},"3032594813",{},{"VOID":1020},"W3032594813",{"EN":1022},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:sec>\n                \u003Cjats:title>Background\u003C\u002Fjats:title>\n                \u003Cjats:p>The accuracy in estimating forest ecosystem carbon storage has drawn extensive attention of researchers in the field of global climate change. However, incomparable data sources and various estimation methods have led to significant differences in the estimation of forest carbon storage at large scales.\u003C\u002Fjats:p>\n              \u003C\u002Fjats:sec>\u003Cjats:sec>\n                \u003Cjats:title>Methods\u003C\u002Fjats:title>\n                \u003Cjats:p>In this study, we reviewed fundamental types of forest carbon storage estimation methods and their applications in China.\u003C\u002Fjats:p>\n              \u003C\u002Fjats:sec>\u003Cjats:sec>\n                \u003Cjats:title>Results\u003C\u002Fjats:title>\n                \u003Cjats:p>Results showed that the major forest carbon storage estimation methods were classified into 3 major categories and 15 subcategories focusing on vegetation carbon storage estimation, soil carbon storage estimation, and litter carbon storage estimation, respectively. The application in China showed that there have been 3 development stages of research in China since the 1990s. Studies of forest carbon storage estimation in province scales were conducted more frequently in the northeastern, eastern and southwestern provinces such as Zhejiang, Heilongjiang and Sichuan with high forest coverage or large forest area. Inventory-based methods, soil type method, and biomass model were the main forest estimation methods used in China, focusing on vegetation, soil and litter carbon storage estimation respectively. Total forest carbon storage of China was approximate 28.90 Pg C, and the average vegetation carbon density (42.04 ± 5.39 Mg·ha\u003Cjats:sup>− 1\u003C\u002Fjats:sup>) was much lower than that of the whole world (71.60 Mg·ha\u003Cjats:sup>− 1\u003C\u002Fjats:sup>). Vegetation carbon density from average biomass method was the highest (57.07 Mg·ha\u003Cjats:sup>− 1\u003C\u002Fjats:sup>) through comparing nine types of vegetation carbon storage estimation methods applied during 1989 to 1993.\u003C\u002Fjats:p>\n              \u003C\u002Fjats:sec>\u003Cjats:sec>\n                \u003Cjats:title>Conclusions\u003C\u002Fjats:title>\n                \u003Cjats:p>Many studies on forest carbon storages have been carried out in China at patch scales or regional scales. These efforts enabled the research of forest carbon storage to reach a relatively advanced stage. Meanwhile, the accumulation of massive research data provides the basis for subsequent research work. Some challenges are also existing. This review could provide a reference for more accurate estimation of forest carbon storage in the future.\u003C\u002Fjats:p>\n              \u003C\u002Fjats:sec>",{"EN":1024},"Review on carbon storage estimation of forest ecosystem and applications in China",{"VOID":1026},"10.1186\u002Fs40663-019-0210-2",[102],"https:\u002F\u002Fforestecosyst.springeropen.com\u002Farticles\u002F10.1186\u002Fs40663-019-0210-2",[1030,1049],{"id":1031,"sortIndex":36,"researcher":26,"roles":1032,"affiliations":1033,"properties":1042},"f9b33119-21a0-4e99-81fa-d18ce41d6b5d",[],[1034],{"id":26,"sortIndex":36,"affiliation":1035,"properties":26},{"id":1036,"createTime":1037,"updateTime":1037,"relativeEntities":1038,"slug":26,"properties":1039,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"15809fcc-53a6-4091-8eab-16151da4e16b","2023-12-13T10:36:14.521+00:00",[],{"title":1040},{"VI":1041},"State Key Joint Laboratory of Environmental Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing 100084, China",{"openalex":1043,"orcid":1045,"title":1047},{"VOID":1044},"A5029621872",{"VOID":1046},"https:\u002F\u002Forcid.org\u002F0000-0002-0989-2936",{"EN":1048},"Weiwei Sun",{"id":1050,"sortIndex":115,"researcher":26,"roles":1051,"affiliations":1052,"properties":1058},"daf4e086-0e16-443c-8be1-7400dfa9f074",[],[1053],{"id":26,"sortIndex":36,"affiliation":1054,"properties":26},{"id":1036,"createTime":1037,"updateTime":1037,"relativeEntities":1055,"slug":26,"properties":1056,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":1057},{"VI":1041},{"openalex":1059,"orcid":1061,"title":1063},{"VOID":1060},"A5083826244",{"VOID":1062},"https:\u002F\u002Forcid.org\u002F0000-0001-9717-0863",{"EN":1064},"Xuehua Liu",{"url":26,"publisher":1066,"properties":26},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":1067,"slug":663,"properties":1068,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":1071,"manageAffiliations":1072,"indexDatabases":1073,"url":26,"thumbnailPath":26,"statistic":1088,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"eissn":1069,"title":1070},{"VOID":666},{"EN":668},[],[],[1074,1081],{"id":745,"indexDatabase":1075,"url":760,"indexYears":26,"academicFieldIds":1080,"indexDatabaseRanking":26},{"id":747,"createTime":748,"updateTime":749,"relativeEntities":1076,"label":1077,"description":1078,"key":756,"publicationTags":1079,"standard":26},[],{"EN":752,"VI":752},{"VI":754,"EN":755},[758,759],[762],{"id":723,"indexDatabase":1082,"url":736,"indexYears":737,"academicFieldIds":1087,"indexDatabaseRanking":743},{"id":725,"createTime":726,"updateTime":727,"relativeEntities":1083,"label":1084,"description":1085,"key":733,"publicationTags":1086,"standard":26},[],{"EN":730,"VI":730},{"EN":730,"VI":732},[735],[739,740,741,742],{"impactFactor":36,"impactFactorByYear":1089,"i10Index":79,"i10IndexLast5Year":51,"totalPublication":768,"totalPublicationByYear":1090,"totalCitation":770,"totalCitationByYear":1091,"totalCitationPerPublication":777,"totalCitationPerPublicationByYear":1092,"hindexLast5Year":234,"hindex":234},{"2016":54,"2017":232,"2018":54,"2019":765,"2020":478,"2021":766,"2022":767,"2023":639},{"2013":116,"2014":336,"2015":516,"2016":173,"2017":124,"2018":255,"2019":125,"2020":283,"2021":569,"2022":257,"2023":287},{"2013":59,"2014":135,"2015":245,"2016":772,"2017":773,"2018":774,"2019":532,"2020":775,"2021":776},{"2013":443,"2014":522,"2015":779,"2016":780,"2017":781,"2018":782,"2019":783,"2020":784,"2021":785},{"total":357,"publishYear":26,"statisticByYear":1094},{"2020":59,"2021":53,"2022":241,"2023":252,"2024":111},"2020-12-01",2020,"ERROR_IN_ANALYZE_CITATION","2024-04-13T15:48:08.507+00:00",[1100,1104,1108,1112,1116,1120,1124,1128,1132,1135,1139,1143,1147,1151,1155,1159,1163,1167,1171,1174,1178,1182,1186,1189,1192,1196,1200,1203,1206,1210,1214,1218,1222,1226,1230,1233,1237,1241,1245,1249,1253,1257,1261,1264,1267,1271,1275,1278,1282,1286,1290,1294,1298,1301,1305,1308,1311,1314,1317,1321,1325,1329,1333,1337,1341,1344,1348,1352,1356,1360,1364,1368,1372,1376,1380,1384,1388,1392,1396,1400,1404,1407,1410,1414,1418,1422,1426,1430,1434,1438,1442,1446,1450,1453,1457,1460,1463,1467,1470,1474,1477,1481,1484,1488,1491,1495,1499,1502,1505,1508,1511,1515,1519,1523,1527,1531,1534,1538,1541,1545,1548,1551,1554,1557,1560,1564],{"id":26,"text":1101,"url":26,"identifiers":1102},"Asner GP, Flint Hughes R, Varga TA, Knapp DE, Kennedy-Bowdoin T (2009) Environmental and biotic controls over aboveground biomass throughout a tropical rain forest. 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tree candidates for drone remote sensing using artificial intelligence techniques, Engineering, 6, 919, 10.1016\u002Fj.eng.2020.07.001",{"doi":3956},"10.1016\u002Fj.eng.2020.07.001",{"id":26,"text":3958,"url":26,"identifiers":3959},"Tang, 2015, Drone remote sensing for forestry research and practices, J For Res, 26, 791, 10.1007\u002Fs11676-015-0088-y",{"doi":3960},"10.1007\u002Fs11676-015-0088-y",{"id":26,"text":3962,"url":26,"identifiers":3963},"Tao, 2020, Deep learning-based dead pine trees detection from unmanned aerial vehicle images, Int J Remote Sens, 41, 8238, 10.1080\u002F01431161.2020.1766145",{"doi":3964},"10.1080\u002F01431161.2020.1766145",{"id":26,"text":3966,"url":26,"identifiers":3967},"Umebayashi, 2017, In situ observation of pinewood nematode in wood, Eur J Plant Pathol, 147, 463, 10.1007\u002Fs10658-016-1013-8",{"doi":3968},"10.1007\u002Fs10658-016-1013-8",{"id":26,"text":3970,"url":26,"identifiers":3971},"Verikas, 2011, Mining data with random forests: a survey and results of new tests, Pattern Recogn, 44, 330, 10.1016\u002Fj.patcog.2010.08.011",{"doi":3972},"10.1016\u002Fj.patcog.2010.08.011",{"id":26,"text":3974,"url":26,"identifiers":3975},"Vicente, 2012, Erratum to: pine wilt disease: a threat to European forestry, Eur J Plant Pathol, 133, 497, 10.1007\u002Fs10658-012-9979-3",{"doi":3976},"10.1007\u002Fs10658-012-9979-3",{"id":26,"text":3978,"url":26,"identifiers":3979},"Vierling, 2008, Lidar: shedding new light on habitat characterization and modeling, Front Ecol Environ, 6, 90, 10.1890\u002F070001",{"doi":3980},"10.1890\u002F070001",{"id":26,"text":3982,"url":26,"identifiers":3983},"Wang, 2007, Spectral characteristics analysis of Pinus Massoniana suffered by Bursaphelenchus Xylophilus, Remote Sens Technol Appl, 22, 367",{},{"id":26,"text":3985,"url":26,"identifiers":3986},"Waske, 2009, Mapping of hyperspectral AVIRIS data using machine-learning algorithms, Can J Remote Sens, 35, S106, 10.5589\u002Fm09-018",{"doi":3987},"10.5589\u002Fm09-018",{"id":26,"text":3989,"url":26,"identifiers":3990},"Watt, 2014, The influence of LiDAR pulse density on the precision of inventory metrics in young unthinned Douglas-fir stands during initial and subsequent LiDAR acquisitions, NZ J Forestry Sci, 44, 18",{},{"id":26,"text":3992,"url":26,"identifiers":3993},"White, 2007, Detecting mountain pine beetle red attack damage with EO-1 Hyperion moisture indices, Int J Remote Sens, 28, 2111, 10.1080\u002F01431160600944028",{"doi":3994},"10.1080\u002F01431160600944028",{"id":26,"text":3996,"url":26,"identifiers":3997},"White, 2005, Detection of red attack stage mountain pine beetle infestation with high spatial resolution satellite imagery, Remote Sens Environ, 96, 340, 10.1016\u002Fj.rse.2005.03.007",{"doi":3998},"10.1016\u002Fj.rse.2005.03.007",{"id":26,"text":4000,"url":26,"identifiers":4001},"Wu, 2021, Application of conventional UAV-based high-throughput object detection to the early diagnosis of pine wilt disease by deep learning, Forest Ecol Manag, 486, 10.1016\u002Fj.foreco.2021.118986",{"doi":4002},"10.1016\u002Fj.foreco.2021.118986",{"id":26,"text":4004,"url":26,"identifiers":4005},"Wu, 2008, Sensitivity study of photochemical reflectance index to leaf biochemical components, J Univ Chin Acad Sci, 3, 346",{},{"id":26,"text":4007,"url":26,"identifiers":4008},"Xiang, 2018, Correlation analysis between spectral characteristic parameters and chlorophyll content of pine needles, Sci Technol Innov, 35, 5",{},{"id":26,"text":4010,"url":26,"identifiers":4011},"Xie, 2014, Leaf area index estimation using vegetation indices derived from airborne hyperspectral images in winter wheat, IEEE J-STARS, 7, 3586",{},{"id":26,"text":4013,"url":26,"identifiers":4014},"Xie, 2020, Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system, Forest Ecosyst, 7, 33, 10.1186\u002Fs40663-020-00237-0",{"doi":4015},"10.1186\u002Fs40663-020-00237-0",{"id":26,"text":4017,"url":26,"identifiers":4018},"Xu, 2012, Changes in water content, pigments and antioxidant enzyme activities in pine needles of Pinus thunbergii and Pinus massoniana affected by pine wood nematode, Sci Silv Sin, 11, 140",{},{"id":26,"text":4020,"url":26,"identifiers":4021},"Xu, 2011, Changes of reflectance spectra of pine needles in different stage after being infected by pine wood nematode, Spectrosc Spectr Anal, 31, 1352",{},{"id":26,"text":4023,"url":26,"identifiers":4024},"Yang, 2002, Advance in research of pathogenetic mechanism of pine wood nematode, Forest Pest Disease, 1, 27",{},{"id":26,"text":4026,"url":26,"identifiers":4027},"Yao, 2009, Hyperspectral models for estimating vegetation chlorophyll content based on red edge parameter, Trans Chin Soc Agric Eng, 25, 123",{},{"id":26,"text":4029,"url":26,"identifiers":4030},"Ye, 2019, Epidemic status of pine wilt disease in China and its prevention and control techniques and counter measures, Sci Silv Sin, 55, 1",{},{"id":26,"text":4032,"url":26,"identifiers":4033},"Yu, 2018, Discovery of new host plants and new vector insects of Bursaphelenchus xylophilus in Liaoning Province, Forest Pest Dis, 37, 61",{},{"id":26,"text":4035,"url":26,"identifiers":4036},"Yu, 2019, Preliminary study on Larix spp. infected by Bursaphelenchus xylophilus in natural environment, Forest Pest Dis, 38, 7",{},{"id":26,"text":4038,"url":26,"identifiers":4039},"Yuan, 2017, Retrieving soybean leaf area index from unmanned aerial vehicle hyperspectral remote sensing: analysis of RF, ANN, and SVM regression models, Remote Sens, 9, 309, 10.3390\u002Frs9040309",{"doi":4040},"10.3390\u002Frs9040309",{"id":26,"text":4042,"url":26,"identifiers":4043},"Yuan, 2013, Remote sensing image segmentation by combining spectral and texture features, IEEE T Geosci Remote, 52, 16, 10.1109\u002FTGRS.2012.2234755",{"doi":4044},"10.1109\u002FTGRS.2012.2234755",{"id":26,"text":4046,"url":26,"identifiers":4047},"Zhan, 2020, Combining GF-2 and Sentinel-2 images to detect tree mortality caused by red turpentine beetle during the early outbreak stage in North China, Forests, 11, 172, 10.3390\u002Ff11020172",{"doi":4048},"10.3390\u002Ff11020172",{"id":26,"text":4050,"url":26,"identifiers":4051},"Zhang, 2018, Assessment of defoliation during the Dendrolimus tabulaeformis Tsai et Liu disaster outbreak using UAV-based hyperspectral images, Remote Sens Environ, 217, 323, 10.1016\u002Fj.rse.2018.08.024",{"doi":4052},"10.1016\u002Fj.rse.2018.08.024",{"id":4054,"createTime":4055,"updateTime":4056,"relativeEntities":4057,"slug":4058,"properties":4059,"entityType":806,"verifyStatus":25,"verifyTime":4068,"verifyNote":807,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":115,"primaryUrl":4069,"fullTextUrl":26,"authors":4070,"publicationType":833,"publisherRelationship":4173,"citationCount":168,"citationInfo":4206,"publishDate":4208,"publishYear":2370,"citationAnalyzeStatus":28,"lastCitationAnalyze":4209,"indexDatabases":26,"openAccess":26,"references":4210,"isForceReanalyzing":1008},"44d72460-7e37-4b44-8044-1069aa0f2aa0","2024-01-12T10:25:47.614+00:00","2026-01-30T15:53:10.963+00:00",[],"Effects-of-forest-management-on-biomass-stocks-in-Romanian-beech-forests",{"abstract":4060,"title":4062,"doi":4064,"gsPaper":4066},{"EN":4061},"Forest management aims at obtaining a sustainable production of wood to be harvested to generate products or energy. However, the quantitative influence of forest management and of removals by harvest on biomass stocks has rarely been analysed on a large scale based on measurements. Two hypotheses prevail: management induces a reduction of wood stocks due to cuttings, versus no impact because of increased growth of the remaining trees. Using data collected for 2840 permanent plots across Romania from the National Forest Inventory representing ~ 2.5 Mha, we have tested to what extent different management types and treatments can influence the biomass stock and productivity of beech forests, and attempt to quantify these effects both on the short and long terms. Three main types of beech forest management are implemented in Romania with specific objectives: intensive wood production in production forests, protection of ecosystem services (e.g. watersheds, avalanche protection) in protection forests, and protection of the forest and its biodiversity in protected forests. Production forests encompass two treatments differing according to the stand regeneration method: the age class rotation management and the group shelterwood management. We show that forest management had little influence on the biomass stocks at a given stand age. The highest stocks at stand age 100 were observed in production forests (the most intensively managed forests). Consequences of early cuttings were very short-termed because the increase in tree growth rapidly compensated for tree cuttings. The cumulated biomass of production forests exceeded that of protected and protection forests. Regarding the treatment, the group shelterwood forests had a markedly higher production over a full rotation period. The total amount of deadwood was primarily driven by the amount of standing deadwood, and no management effect was detected. Given the relatively low-intensity management in Romania, forest management had no negative impact on wood stocks in beech forests biomass stocks at large scale. Stand productivity was very similar among management types or treatments. However cumulated biomass in production forests was higher than in protection or protected forests, and differed markedly according to treatments with a higher cumulated biomass in shelterwood forests.",{"EN":4063},"Effects of forest management on biomass stocks in Romanian beech forests",{"VOID":4065},"10.1186\u002Fs40663-019-0180-4",{"VOID":4067},"[\"1319881583204762167\"]","2024-05-01T04:08:57.198+00:00","https:\u002F\u002Fforestecosyst.springeropen.com\u002Farticles\u002F10.1186\u002Fs40663-019-0180-4",[4071,4097,4116,4133,4150],{"id":4072,"sortIndex":59,"researcher":26,"roles":4073,"affiliations":4075,"properties":4094},"68ec47bf-90c2-4aa2-826d-b219165530cf",[4074],"AUTHOR",[4076,4084],{"id":26,"sortIndex":36,"affiliation":4077,"properties":26},{"id":4078,"createTime":4079,"updateTime":4079,"relativeEntities":4080,"slug":26,"properties":4081,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"448e44d1-a276-413b-8774-2f4b5eb99a2c","2024-01-12T10:25:47.640+00:00",[],{"title":4082},{"VI":4083},"National Forest Inventory, National Research Development Institute for Silviculture, Voluntari, Romania",{"id":4085,"sortIndex":115,"affiliation":4086,"properties":4093},"ca90c12a-0fc6-42f3-ac98-ff2121f73f42",{"id":4087,"createTime":4088,"updateTime":4088,"relativeEntities":4089,"slug":26,"properties":4090,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"716fab88-9e90-4a51-8153-bb11c07ccaa5","2024-01-13T17:04:33.190+00:00",[],{"title":4091},{"VI":4092},"Faculty of Silviculture and Forest Engineering, Transilvania University of Brasov, Brasov, Romania",{},{"title":4095},{"VI":4096},"G. Marin",{"id":4098,"sortIndex":114,"researcher":26,"roles":4099,"affiliations":4100,"properties":4111},"50a9f7fd-f0e7-4ddd-8299-59c468a0063a",[4074],[4101],{"id":26,"sortIndex":36,"affiliation":4102,"properties":26},{"id":4103,"createTime":4104,"updateTime":4105,"relativeEntities":4106,"slug":4107,"properties":4108,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"b7e2eb46-8a39-4ac3-8d7e-6bcc2f0f4153","2024-01-12T10:25:47.664+00:00","2024-10-07T23:41:33.702+00:00",[],"Department-of-Biology-University-of-Antwerpen-Wilrijk-Belgium",{"title":4109},{"VI":4110},"Department of Biology, University of Antwerpen, Wilrijk, Belgium",{"title":4112,"gsAuthor":4114},{"VI":4113},"I. A. Janssens",{"VOID":4115},"[\"8rK8Xs4AAAAJ\"]",{"id":4117,"sortIndex":111,"researcher":26,"roles":4118,"affiliations":4119,"properties":4130},"0597c8d1-e933-4b5f-bf9d-fcb3a40980ac",[4074],[4120],{"id":26,"sortIndex":36,"affiliation":4121,"properties":26},{"id":4122,"createTime":4123,"updateTime":4124,"relativeEntities":4125,"slug":4126,"properties":4127,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"13d2c0a1-df0a-4e70-8a72-fb85566a74b8","2023-12-07T09:17:19.721+00:00","2025-02-04T05:52:10.015+00:00",[],"Max-Planck-Institute-for-Biogeochemistry-Jena-Germany",{"title":4128},{"VI":4129},"Max Planck Institute for Biogeochemistry, Jena, Germany",{"title":4131},{"VI":4132},"E.-D. Schulze",{"id":4134,"sortIndex":115,"researcher":26,"roles":4135,"affiliations":4136,"properties":4145},"d19abfd0-83e2-45a3-b4b9-6bfc0f531e4d",[4074],[4137],{"id":26,"sortIndex":36,"affiliation":4138,"properties":26},{"id":4139,"createTime":4140,"updateTime":4140,"relativeEntities":4141,"slug":26,"properties":4142,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"cb7ad4ae-8732-4059-802c-d59f4f96a012","2024-01-12T10:25:47.653+00:00",[],{"title":4143},{"VI":4144},"vTI, Braunschweig, Germany",{"title":4146,"gsAuthor":4148},{"VI":4147},"A. Don",{"VOID":4149},"[\"yYxXskoAAAAJ\"]",{"id":4151,"sortIndex":36,"researcher":26,"roles":4152,"affiliations":4153,"properties":4168},"040c4126-c2c9-4e10-8d9b-9011e2ab6fd3",[4074],[4154,4160],{"id":4155,"sortIndex":115,"affiliation":4156,"properties":26},"a40c7113-298d-4100-b7f1-c132ff9d07b6",{"id":4078,"createTime":4079,"updateTime":4079,"relativeEntities":4157,"slug":26,"properties":4158,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},[],{"title":4159},{"VI":4083},{"id":26,"sortIndex":36,"affiliation":4161,"properties":26},{"id":4162,"createTime":4163,"updateTime":4163,"relativeEntities":4164,"slug":26,"properties":4165,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"6027eb4a-8617-4ac0-bce7-fdddd251aa0d","2024-01-12T10:25:47.634+00:00",[],{"title":4166},{"VI":4167},"Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control, Stefan cel Mare University, Suceava, Romania",{"title":4169,"gsAuthor":4171},{"VI":4170},"O. Bouriaud",{"VOID":4172},"[\"MtTiakoAAAAJ\"]",{"url":4069,"publisher":4174,"properties":4201},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":4175,"slug":663,"properties":4176,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":4179,"manageAffiliations":4180,"indexDatabases":4181,"url":26,"thumbnailPath":26,"statistic":4196,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"eissn":4177,"title":4178},{"VOID":666},{"EN":668},[],[],[4182,4189],{"id":745,"indexDatabase":4183,"url":760,"indexYears":26,"academicFieldIds":4188,"indexDatabaseRanking":26},{"id":747,"createTime":748,"updateTime":749,"relativeEntities":4184,"label":4185,"description":4186,"key":756,"publicationTags":4187,"standard":26},[],{"EN":752,"VI":752},{"VI":754,"EN":755},[758,759],[762],{"id":723,"indexDatabase":4190,"url":736,"indexYears":737,"academicFieldIds":4195,"indexDatabaseRanking":743},{"id":725,"createTime":726,"updateTime":727,"relativeEntities":4191,"label":4192,"description":4193,"key":733,"publicationTags":4194,"standard":26},[],{"EN":730,"VI":730},{"EN":730,"VI":732},[735],[739,740,741,742],{"impactFactor":36,"impactFactorByYear":4197,"i10Index":79,"i10IndexLast5Year":51,"totalPublication":768,"totalPublicationByYear":4198,"totalCitation":770,"totalCitationByYear":4199,"totalCitationPerPublication":777,"totalCitationPerPublicationByYear":4200,"hindexLast5Year":234,"hindex":234},{"2016":54,"2017":232,"2018":54,"2019":765,"2020":478,"2021":766,"2022":767,"2023":639},{"2013":116,"2014":336,"2015":516,"2016":173,"2017":124,"2018":255,"2019":125,"2020":283,"2021":569,"2022":257,"2023":287},{"2013":59,"2014":135,"2015":245,"2016":772,"2017":773,"2018":774,"2019":532,"2020":775,"2021":776},{"2013":443,"2014":522,"2015":779,"2016":780,"2017":781,"2018":782,"2019":783,"2020":784,"2021":785},{"volume":4202,"pages":4204},{"VOID":4203},"6",{"VOID":4205},"1-15",{"total":168,"publishYear":2370,"statisticByYear":4207},{"2020":158,"2021":53,"2022":158,"2023":135,"2024":135,"2025":111},"2019-04-04","2026-01-30T15:53:10.952+00:00",[4211,4217,4220,4223,4226,4229,4232,4238,4244,4250,4253,4259,4262,4269,4272,4275,4281,4284,4287,4290,4293,4296,4299,4302,4305,4311,4314,4317,4320,4323,4326,4329,4332,4335,4341,4347,4350,4353,4356,4362,4365,4368,4371,4374,4377,4380,4386,4389,4392,4395,4401,4407,4410,4413,4416,4419,4422,4425,4428,4431,4434,4437,4444,4450,4453,4456,4459,4462,4468,4471,4474,4477,4480,4483,4489,4492,4498,4501,4504,4510],{"id":4212,"text":4213,"url":4214,"identifiers":4215},"4c68646b-0035-4279-8000-0006b275d4fa","Aertsen W, Janssen E, Kint V, Bontemps J-D, Van Orshoven J, Muys B (2014) Long-term growth changes of common beech (Fagus sylvatica L.) are less pronounced on highly productive sites. Forest Ecol Manag 312:252–259.","https:\u002F\u002Flink.springer.com\u002F10.1007\u002Fs10440-022-00541-7",{"doi":4216},"10.1007\u002Fs10440-022-00541-7",{"id":26,"text":4218,"url":26,"identifiers":4219},"Assmann E (1970) The principles of forest yield study, vol 45. Pergamon Press, Oxford, pp 160–163 pp.",{},{"id":4212,"text":4221,"url":4214,"identifiers":4222},"Augusto L, Meredieu C, Bert D, Trichet P, Porté A, Bosc A, Lagane F, Loustau D, Pellerin S, Danjon F, Ranger J (2008) Improving models of forest nutrient export with equations that predict the nutrient concentration of tree compartments. Ann For Sci 65:808.",{"doi":4216},{"id":4212,"text":4224,"url":4214,"identifiers":4225},"Babst F, Bouriaud O, Alexander R, Trouet V, Frank D (2014) Toward consistent measurements of carbon accumulation: a multi-site assessment of biomass and basal area increment across Europe. Dendrochronologia 32(2):153–161.",{"doi":4216},{"id":4212,"text":4227,"url":4214,"identifiers":4228},"Bakker JD (2005) A new, proportional method for reconstructing historical tree diameters. Can J For Res 35(10):2515–2520.",{"doi":4216},{"id":4212,"text":4230,"url":4214,"identifiers":4231},"Bates D, Maechler M, Bolker B, Walker S (2014) lme4: linear mixed-effects models using Eigen and S4. R package version 1:1–7.",{"doi":4216},{"id":4233,"text":4234,"url":4235,"identifiers":4236},"f7da3302-0efa-49ba-87f3-5c5303340dc2","Birdsey R, Pan Y (2015) Trends in management of the world’s forests and impacts on carbon stocks. Forest Ecol Manag 355:83–90.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0378112715002534",{"doi":4237},"10.1016\u002Fj.foreco.2015.04.031",{"id":4239,"text":4240,"url":4241,"identifiers":4242},"3efd55eb-ae46-4665-b9f5-cb51da4a6917","Bontemps J-D, Hervé J-C, Dhôte J-F (2010) Dominant radial and height growth reveal comparable historical variations for common beech in North-Eastern France. 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Forest Ecology and Management 305:48–59.","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0378112713003290",{"doi":4497},"10.1016\u002Fj.foreco.2013.05.030",{"id":4212,"text":4499,"url":4214,"identifiers":4500},"Wutzler T, Wirth C, Schumacher J (2008) Generic biomass functions for common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty. Can J For Res 38(6):1661–1675.",{"doi":4216},{"id":4212,"text":4502,"url":4214,"identifiers":4503},"Zeide B (2001) Resolving contradictions in forestry: back to science. Forestry Chron 77(6):973–981.",{"doi":4216},{"id":4505,"text":4506,"url":4507,"identifiers":4508},"1fbf4d80-961c-43c4-881a-ddf5a4e26d0a","Zeide B (2005) How to measure stand density. 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Biogeosciences 10:3691–3703.",{"doi":4216},{"id":4514,"createTime":4515,"updateTime":4516,"relativeEntities":4517,"slug":4518,"properties":4519,"entityType":806,"verifyStatus":25,"verifyTime":4516,"verifyNote":807,"syncStatus":28,"languages":4531,"translateLanguages":26,"viewCount":36,"primaryUrl":4532,"fullTextUrl":26,"authors":4533,"publicationType":833,"publisherRelationship":4595,"citationCount":168,"citationInfo":4623,"publishDate":1095,"publishYear":1096,"citationAnalyzeStatus":1097,"lastCitationAnalyze":4625,"indexDatabases":26,"openAccess":26,"references":4626,"isForceReanalyzing":1008},"118ea9c9-456c-4834-8331-d389c1b9b56e","2024-04-14T14:15:31.857+00:00","2024-12-05T19:13:03.662+00:00",[],"Dynamics-of-dead-wood-decay-in-Swiss-forests",{"mag":4520,"keywords":4522,"openalex":4523,"abstract":4525,"title":4527,"doi":4529},{"VOID":4521},"3034807935",{},{"VOID":4524},"W3034807935",{"EN":4526},"\u003Cjats:title>Abstract\u003C\u002Fjats:title>\u003Cjats:sec>\n                \u003Cjats:title>Background\u003C\u002Fjats:title>\n                \u003Cjats:p>Forests are an important component of the global carbon (C) cycle and can be net sources or sinks of CO\u003Cjats:sub>2\u003C\u002Fjats:sub>, thus mitigating or exacerbating the effects of anthropogenic greenhouse gas emissions. While forest productivity is often inferred from national-scale yield tables or from satellite products, forest C emissions resulting from dead organic matter decay are usually simulated, therefore it is important to ensure the accuracy and reliability of a model used to simulate organic matter decay at an appropriate scale. National Forest Inventories (NFIs) provide a record of carbon pools in ecosystem components, and these measurements are essential for evaluating rates and controls of C dynamics in forest ecosystems. In this study we combine the observations from the Swiss NFIs and machine learning techniques to quantify the decay rates of the standing snags and downed logs and identify the main controls of dead wood decay.\u003C\u002Fjats:p>\n              \u003C\u002Fjats:sec>\u003Cjats:sec>\n                \u003Cjats:title>Results\u003C\u002Fjats:title>\n                \u003Cjats:p>We found that wood decay rate was affected by tree species, temperature, and precipitation. Dead wood originating from \u003Cjats:italic>Fagus sylvatica\u003C\u002Fjats:italic> decayed the fastest, with the residence times ranging from 27 to 54 years at the warmest and coldest Swiss sites, respectively. Hardwoods at wetter sites tended to decompose faster compared to hardwoods at drier sites, with residence times 45–92 and 62–95 years for the wetter and drier sites, respectively. Dead wood originating from softwood species had the longest residence times ranging from 58 to 191 years at wetter sites and from 78 to 286 years at drier sites.\u003C\u002Fjats:p>\n              \u003C\u002Fjats:sec>\u003Cjats:sec>\n                \u003Cjats:title>Conclusions\u003C\u002Fjats:title>\n                \u003Cjats:p>This study illustrates how long-term dead wood observations collected and remeasured during several NFI campaigns can be used to estimate dead wood decay parameters, as well as gain understanding about controls of dead wood dynamics. The wood decay parameters quantified in this study can be used in carbon budget models to simulate the decay dynamics of dead wood, however more measurements (e.g. of soil C dynamics at the same plots) are needed to estimate what fraction of dead wood is converted to CO\u003Cjats:sub>2\u003C\u002Fjats:sub>, and what fraction is incorporated into soil.\u003C\u002Fjats:p>\n              \u003C\u002Fjats:sec>",{"EN":4528},"Dynamics of dead wood decay in Swiss forests",{"VOID":4530},"10.1186\u002Fs40663-020-00248-x",[102],"https:\u002F\u002Fforestecosyst.springeropen.com\u002Farticles\u002F10.1186\u002Fs40663-020-00248-x",[4534,4554,4574],{"id":4535,"sortIndex":115,"researcher":26,"roles":4536,"affiliations":4537,"properties":4547},"2d44e57b-4791-4052-9d85-7d39c416fedf",[],[4538],{"id":26,"sortIndex":36,"affiliation":4539,"properties":26},{"id":4540,"createTime":4541,"updateTime":4541,"relativeEntities":4542,"slug":4543,"properties":4544,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"84a3fd54-c9e7-4a8a-85de-d476953817f3","2024-04-14T14:15:31.967+00:00",[],"Pacific-Forestry-Centre-506-Burnside-Road-West-Victoria-British-Columbia-V8Z-1M5-Canada",{"title":4545},{"EN":4546},"Pacific Forestry Centre, 506 Burnside Road West, Victoria, British Columbia, V8Z 1M5, Canada",{"openalex":4548,"orcid":4550,"title":4552},{"VOID":4549},"A5034291628",{"VOID":4551},"https:\u002F\u002Forcid.org\u002F0000-0003-4576-7849",{"EN":4553},"Werner A. Kurz",{"id":4555,"sortIndex":36,"researcher":26,"roles":4556,"affiliations":4557,"properties":4567},"8aab3363-53a6-4dad-958c-a7d45ec0afdb",[],[4558],{"id":26,"sortIndex":36,"affiliation":4559,"properties":26},{"id":4560,"createTime":4561,"updateTime":4561,"relativeEntities":4562,"slug":4563,"properties":4564,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"f23b6e15-1304-4472-a62f-b7a956ce05cf","2024-04-11T21:41:47.521+00:00",[],"Department-of-Biology-University-of-Central-Florida-4110-Libra-Dr-Orlando-FL-32816-USA",{"title":4565},{"EN":4566},"Department of Biology, University of Central Florida, 4110 Libra Dr., Orlando, FL, 32816, USA",{"openalex":4568,"orcid":4570,"title":4572},{"VOID":4569},"A5053371092",{"VOID":4571},"https:\u002F\u002Forcid.org\u002F0000-0001-5694-6813",{"EN":4573},"Oleksandra Hararuk",{"id":4575,"sortIndex":114,"researcher":26,"roles":4576,"affiliations":4577,"properties":4588},"516d42e1-68e5-4f64-814b-bbd5625346dc",[],[4578],{"id":26,"sortIndex":36,"affiliation":4579,"properties":26},{"id":4580,"createTime":4581,"updateTime":4582,"relativeEntities":4583,"slug":4584,"properties":4585,"entityType":98,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36},"9f0a3ba8-17c0-48b0-8d80-2a995b52013e","2023-12-08T08:17:25.123+00:00","2024-10-14T10:36:52.654+00:00",[],"Swiss-Federal-Research-Institute-WSL-Z%C3%BCrcherstrasse-111-8903-Birmensdorf-Switzerland",{"title":4586},{"VI":4587},"Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf, Switzerland",{"openalex":4589,"orcid":4591,"title":4593},{"VOID":4590},"A5021902978",{"VOID":4592},"https:\u002F\u002Forcid.org\u002F0000-0003-0346-0646",{"EN":4594},"Markus Didion",{"url":26,"publisher":4596,"properties":26},{"id":659,"createTime":660,"updateTime":661,"relativeEntities":4597,"slug":663,"properties":4598,"entityType":24,"verifyStatus":28,"verifyTime":26,"verifyNote":26,"syncStatus":28,"languages":26,"translateLanguages":26,"viewCount":36,"subjectFields":4601,"manageAffiliations":4602,"indexDatabases":4603,"url":26,"thumbnailPath":26,"statistic":4618,"gsStatistic":26,"type":26,"analyzePriority":26},[],{"eissn":4599,"title":4600},{"VOID":666},{"EN":668},[],[],[4604,4611],{"id":745,"indexDatabase":4605,"url":760,"indexYears":26,"academicFieldIds":4610,"indexDatabaseRanking":26},{"id":747,"createTime":748,"updateTime":749,"relativeEntities":4606,"label":4607,"description":4608,"key":756,"publicationTags":4609,"standard":26},[],{"EN":752,"VI":752},{"VI":754,"EN":755},[758,759],[762],{"id":723,"indexDatabase":4612,"url":736,"indexYears":737,"academicFieldIds":4617,"indexDatabaseRanking":743},{"id":725,"createTime":726,"updateTime":727,"relativeEntities":4613,"label":4614,"description":4615,"key":733,"publicationTags":4616,"standard":26},[],{"EN":730,"VI":730},{"EN":730,"VI":732},[735],[739,740,741,742],{"impactFactor":36,"impactFactorByYear":4619,"i10Index":79,"i10IndexLast5Year":51,"totalPublication":768,"totalPublicationByYear":4620,"totalCitation":770,"totalCitationByYear":4621,"totalCitationPerPublication":777,"totalCitationPerPublicationByYear":4622,"hindexLast5Year":234,"hindex":234},{"2016":54,"2017":232,"2018":54,"2019":765,"2020":478,"2021":766,"2022":767,"2023":639},{"2013":116,"2014":336,"2015":516,"2016":173,"2017":124,"2018":255,"2019":125,"2020":283,"2021":569,"2022":257,"2023":287},{"2013":59,"2014":135,"2015":245,"2016":772,"2017":773,"2018":774,"2019":532,"2020":775,"2021":776},{"2013":443,"2014":522,"2015":779,"2016":780,"2017":781,"2018":782,"2019":783,"2020":784,"2021":785},{"total":168,"publishYear":26,"statisticByYear":4624},{"2020":115,"2021":356,"2022":103,"2023":135,"2024":158},"2024-04-15T04:08:05.799+00:00",[4627,4631,4635,4639,4643,4647,4650,4654,4658,4661,4664,4667,4671,4674,4678,4681,4685,4689,4693,4697,4700,4704,4707,4711,4715,4719,4722,4726,4730,4734,4738,4742,4746,4750,4754,4758,4762,4766,4770,4773,4777,4780,4784,4788,4792,4796,4800,4804,4808,4812,4816,4820,4824,4828,4831,4834,4837,4841,4845,4849,4853,4857,4861,4865,4869,4873,4877,4881,4885,4889,4893,4897,4901,4905,4909,4913,4917,4920,4924,4928,4932,4936,4940,4944,4948,4952,4956,4959,4963,4967,4971,4975,4979,4983,4986,4990,4994,4998],{"id":26,"text":4628,"url":26,"identifiers":4629},"Aakala T (2010) Coarse woody debris in late-successional Picea abies forests in northern Europe: variability in quantities and models of decay class dynamics. 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