Topographic controls on ecosystem evapotranspiration and net primary productivity under climate warming in the Taihang Mountains, China

Journal of Hydrology - Tập 581 - Trang 124394 - 2020
Hui Peng1,2, Yangwen Jia3, Chesheng Zhan4, Weihong Xu5
1Key Laboratory of Marine Environment Science and Ecology, Ministry of Education and College of Environmental Science and Engineering, Ocean University of China, Qingdao 266100, China
2Shandong Provincial Key Laboratory of Marine Environment and Geological Engineering, Ocean University of China, Qingdao, 266100, China
3China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin (SKL-WAC), China Institute of Water Resources and Hydropower Research (IWHR), Beijing 100038, China
4Yucheng Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing100101, China
5Research Center on Flood and Drought Disaster Reduction of the Ministry of Water Resources, China Institute of Water Resources and Hydropower Research, Beijing 100038, China

Tài liệu tham khảo

Bai, 2014, Quantifying the contributions of agricultural oasis expansion, management practices and climate change to net primary production and evapotranspiration in croplands in arid northwest China, J. Arid Environ., 100–101, 31, 10.1016/j.jaridenv.2013.10.004 Bai, 2018, Environmental interpretation of forest communities in Xiaowutai Mountain by fuzzy mathematics analysis, Ecol. Inform., 48, 178, 10.1016/j.ecoinf.2018.09.006 Baird, 1999 Band, 1996, Ecosystem processes at the watershed scale: Sensitivity to potential climate change, Limnol Ocean., 41, 928, 10.4319/lo.1996.41.5.0928 Bolstad, 2000, Forest Productivity, Leaf Area, and Terrain in Southern Appalachian Deciduous Forests, Science, 473419 Braun, 2018, Spatio-temporal trends and trade-offs in ecosystem services: An Earth observation based assessment for Switzerland between 2004 and 2014, Ecol. Indic., 89, 828, 10.1016/j.ecolind.2017.10.016 Bräuning, 2004, Summer temperature and summer monsoon history on the Tibetan plateau during the last 400 years recorded by tree rings, Geophys. Res. Lett., 31, 10.1029/2004GL020793 Case, 2005, Fine-scale variability in growth-climate relationships of Douglas-fir, North Cascade Range, Washington, Can. J. For. Res.-Rev. Can. Rech., 35, 2743, 10.1139/x05-191 Chapin, 2002 Christensen, 2007 Collins, 2013 Dai, 2015, Assessing the effect of climate change on carbon sequestration in a Mexican dry forest in the Yucatan Peninsula, Ecol. Complex., 24, 46, 10.1016/j.ecocom.2015.09.004 Dong, 2019, Projections of water, carbon, and nitrogen dynamics under future climate change in an alpine tundra ecosystem in the southern Rocky Mountains using a biogeochemical model, Sci. Total Environ., 650, 1451, 10.1016/j.scitotenv.2018.09.151 Eastaugh, 2011, Assessing the impacts of climate change and nitrogen deposition on Norway spruce (Picea abies L. Karst) growth in Austria with BIOME-BGC, Tree Physiol., 31, 262, 10.1093/treephys/tpr033 Fan, 2008, Annual temperature reconstruction in the central Hengduan Mountains, China, as deduced from tree rings, Dendrochronologia, 26, 97, 10.1016/j.dendro.2008.01.003 Farquhar, 1980, A biochemical model of photosynthetic CO_2 assimilation in leaves of C_3 species, Planta, 149, 78, 10.1007/BF00386231 Gao, 2012, The Changes of Net Primary Productivity in Chinese Terrestrial Ecosystem: Based on Process and Parameter Models, Prog. Geogr., 31, 109 Geng, 2019, Diversity of vegetation composition enhances ecosystem stability along elevational gradients in the Taihang Mountains, China, Ecol. Indic., 104, 594, 10.1016/j.ecolind.2019.05.038 Graumlich, 1989, Long-Term Trends in Forest Net Primary Productivity: Cascade Mountains, Washington, Ecology, 70, 405, 10.2307/1937545 Han, 2014, Modeling the grazing effect on dry grassland carbon cycling with Biome-BGC model, Ecol. Complex., 17, 149, 10.1016/j.ecocom.2013.12.002 Hu, 2019, Detecting and attributing vegetation changes in Taihang Mountain, China, J. Mt. Sci., 16, 337, 10.1007/s11629-018-4995-1 Jia, 2006, Development of the WEP-L distributed hydrological model and dynamic assessment of water resources in the Yellow River basin, J. Hydrol., 331, 606, 10.1016/j.jhydrol.2006.06.006 Jiao, 2016, Responses to climate change in radial growth of Picea schrenkiana along elevations of the eastern Tianshan Mountains, northwest China, Dendrochronologia, 40, 117, 10.1016/j.dendro.2016.09.002 Kaplan, 2012, The effects of land use and climate change on the carbon cycle of Europe over the past 500 years, Glob. Change Biol., 18, 902, 10.1111/j.1365-2486.2011.02580.x Kerns, 2018, Effects of projected climate change on vegetation in the Blue Mountains ecoregion, USA, Clim. Serv., 10, 33, 10.1016/j.cliser.2017.07.002 Lagergren, 2006, Current Carbon Balance of the Forested Area in Sweden and its Sensitivity to Global Change as Simulated by Biome-BGC, Ecosystems, 9, 894, 10.1007/s10021-005-0046-1 Li, 2013, Changes in carbon, nutrients and stoichiometric relations under different soil depths, plant tissues and ages in black locust plantations, Acta Physiol. Plant., 35, 2951, 10.1007/s11738-013-1326-6 Liu, 2010, Net Primary Production and Its Spatio-temporal Pattern in North China, J. Nat. Resour., 37, 9 Mao, 2016, Development of the BIOME-BGC model for the simulation of managed Moso bamboo forest ecosystems, J. Environ. Manage., 172, 29, 10.1016/j.jenvman.2015.12.013 McNab, 1992, A topographic index to quantify the effect of mesoscale and form on site productivity, Can. J. Res., 23, 1100, 10.1139/x93-140 McNaughton, 1983, 1 Monteith, 2008 National soil survey office, 1995 Olesen, 2007, Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models, Clim. Change, 81, 123, 10.1007/s10584-006-9216-1 Panthi, 2018, Growth response of Abies georgei to climate increases with elevation in the central Hengduan Mountains, southwestern China, Dendrochronologia, 47, 1, 10.1016/j.dendro.2017.11.001 Piao, 2001, Terrestrial net primary production and its spatio-temporal patterns in China during 1982–1999, Acta Scicentiarum Nat. Univ. Pekinesis, 37, 563 Qingling, 2016, Developing the Biome-BGC Model to Estimate Net Primary Productivity of Alpine Meadow, 334 R Core Team, 2016 Rogora, 2018, Assessment of climate change effects on mountain ecosystems through a cross-site analysis in the Alps and Apennines, Sci. Total Environ., 624, 1429, 10.1016/j.scitotenv.2017.12.155 Running, 1988, A general model of forest ecosystem processes for regional applications I Hydrologic balance canopy gas exchange and primary production processes, Ecol. Model, 125, 10.1016/0304-3800(88)90112-3 Ryan, 1991, Effects of Climate Change on Plant Respiration, Ecol. Appl., 1, 157, 10.2307/1941808 Sang, 2010 Sun, 2017, An improved Biome-BGC model for estimating net primary productivity of alpine meadow on the Qinghai-Tibet Plateau, Ecol. Model., 350, 55, 10.1016/j.ecolmodel.2017.01.025 Tague, 2009, Topographic controls on spatial patterns of conifer transpiration and net primary productivity under climate warming in mountain ecosystems, Ecohydrology, 2, 541, 10.1002/eco.88 Tague, 2013, The sensitivity of forest water use to the timing of precipitation and snowmelt recharge in the California Sierra: Implications for a warming climate, J. Geophys. Res. Biogeosciences, 118, 875, 10.1002/jgrg.20073 Tan, 2016 Tatarinov, 2011, Effect of climate change and nitrogen deposition on central-European forests: Regional-scale simulation for South Bohemia, For. Ecol. Manag., 262, 1919, 10.1016/j.foreco.2011.02.020 Tian, 2010, Model estimates of net primary productivity, evapotranspiration, and water use efficiency in the terrestrial ecosystems of the southern United States during 1895–2007, For. Ecol. Manag., 259, 1311, 10.1016/j.foreco.2009.10.009 Tian, 2017, Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains, Agric. For. Meteorol., 246, 1, 10.1016/j.agrformet.2017.05.026 Wang, 2019, Forest biomass-carbon variation affected by the climatic and topographic factors in Pearl River Delta, South China, J. Environ. Manage., 232, 781, 10.1016/j.jenvman.2018.11.130 Wang, 2009, A hierarchical analysis of terrestrial ecosystem model Biome-BGC: Equilibrium analysis and model calibration, Ecol. Model., 220, 2009, 10.1016/j.ecolmodel.2009.04.051 Wang, 2005, Simulation of water and carbon fluxes using BIOME-BGC model over crops in China, Agric. For. Meteorol., 131, 209, 10.1016/j.agrformet.2005.06.002 Wang, 2011, Relationships between net primary productivity and stand age for several forest types and their influence on China’s carbon balance, J. Environ. Manage., 92, 1651, 10.1016/j.jenvman.2011.01.024 Waring, 2007 White, 2000, Parameterization and Sensitivity Analysis of the BIOME–BGC Terrestrial Ecosystem Model: Net Primary Production Controls, Earth Interact., 4, 1, 10.1175/1087-3562(2000)004<0003:PASAOT>2.0.CO;2 World Meteorological Organization, 2015. WMO greenhouse gas bulletin 2014. Yan, 2016, Improvement of Biome-BGC model by incorporation and data assimilation, 1378 Yan, 2016, A long-term simulation of forest carbon fluxes over the Qilian Mountains, Int. J. Appl. Earth Obs. Geoinformation, 52, 515, 10.1016/j.jag.2016.07.009 Zhang, 2019, Large-scale patterns in forest growth rates are mainly driven by climatic variables and stand characteristics, For. Ecol. Manag., 435, 120, 10.1016/j.foreco.2018.12.054 Zhu, 2007, Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing, J. Plant Ecol., 31, 413, 10.17521/cjpe.2007.0050