文献类型：期刊文献

英文题名：Quantitative estimation of the factors impacting spatiotemporal variation in NPP in the Dongting Lake wetlands using Landsat time series data for the last two decades

作者：Zhang, Meng[1,2,3] Yuan, Naiquan[4] Lin, Hui[1,2,3] Liu, Yang[5] Zhang, Huaiqing[5]

第一作者：Zhang, Meng

通信作者：Zhang, HQ[1]

机构：[1]Cent South Univ & Technol, Res Ctr Forestry Remote Sensing & Informat Engn, Changsha 410004, Peoples R China;[2]State Forestry Adm Forest Resources Management &, Key Lab, Changsha 410004, Peoples R China;[3]Key Lab Forestry Remote Sensing Based Big Data &, Changsha 410004, Peoples R China;[4]Hunan Acad Geosci Planning & Design Co Led, Changsha 410118, Peoples R China;[5]Chinese Acad Forestry, Res Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China

年份：2022

卷号：135

外文期刊名：ECOLOGICAL INDICATORS

收录：;EI(收录号：20220311459434);Scopus(收录号：2-s2.0-85122625472);WOS:【SCI-EXPANDED(收录号:WOS:000761281100002)】；

基金：This study was funded by the National Natural Science Foundation of China (41901385), the Forestry Remote Sensing Application System based on GF satellites (Phase 2) (21-Y30B02-9001-19/22-2), and in part by the China Postdoctoral Science Foundation (2019M652815; 2020T130731).

语种：英文

外文关键词：Wetland; Net primary productivity; CASA; Partial derivatives; Climate factors; Anthropogenic factors

摘要：Wetlands are important ecosystems and constitute one of the major carbon reservoirs on Earth. Therefore, accurate estimation of wetland carbon stocks, quantitative analysis of spatial and temporal changes in wetland carbon stocks, and maintenance and enhancement of wetland carbon sink functions play a pivotal role in achieving China's "carbon neutral" strategy. Vegetation net primary productivity (NPP) is one of the core components of wetland ecosystem carbon budgets. In this study, an improved CASA model and the spatiotemporal fusion algorithm were employed to obtain NPP data with good accuracy and high spatiotemporal resolution for the Dongting Lake wetland area for the last two decades. Quantitative methods based on partial derivatives were used to assess the contribution of climate and anthropogenic factors to NPP changes. The results demonstrate that the NPP of wetland vegetation in Dongting Lake showed a significant increasing trend from 2000 to 2019 (0.86 g C/m(2)-yr, P < 0.05). Temperature, precipitation and solar radiation contributed positively to the NPP changes in wetland vegetation, with solar radiation making the greatest contribution (10.31 g C/m(2).year), followed by precipitation (1.61 g C/m(2).year) and then temperature (0.03 g C/m(2).year). The contributions of climate change and human activities to changes in wetland vegetation NPP were 1.08 and 0.58 g C/m(2).year, respectively. Human activities dominate in terms of vegetation degradation, while climate dominates in terms of vegetation restoration.