Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios
文献类型：期刊论文
| 作者 | Kayiranga, Alphonse4,7; Chen, Baozhang4,5,6,7; Guo, Lifeng6; Measho, Simon4,7; Hirwa, Hubert7,9; Liu, Shuan5; Bofana, Jose5,10; Sun, Shaobo8; Wang, Fei4,5; Karamage, Fidele2,5 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2021-11-15 |
| 卷号 | 310页码:18 |
| ISSN号 | 0168-1923 |
| 关键词 | Gross primary productivity Surface water balance residual Water use efficiency Representative concentration pathway (RCP) Ecohydro-climate Forest ecosystem and the Lancang-Mekong region |
| DOI | 10.1016/j.agrformet.2021.108662 |
| 通讯作者 | Chen, Baozhang(baozhang.chen@igsnrr.ac.cn) |
| 英文摘要 | Analysis of spatiotemporal variations in forest ecohydrological characteristics is critical for understanding the impacts of climate change on forest ecological functions. In this study, using gross primary productivity (GPP), ecosystem water balance residual (eWBR) and ecosystem water use efficiency (eWUE) as forest ecohydrological function indices, and annual mean precipitation (MAP) and temperature (MAT) as climate indicators, we assessed the impacts of climate change on forest ecosystem in the Lancang-Mekong Region (LMR) during 19922016 (baseline) and 2020-2099 under different Representative Concentration Pathway (RCP) climate scenarios. The coupled Carnegie-Ames-Stanford Approaches-Gramineous Crop Growth (CASA-GRAMI) model, the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, and the Hargreaves-Sumani method were employed to estimate GPP, eWBR, evapotranspiration (ET) and eWUE. The main findings are as follows: (i) GPP, eWBR and eWUE showed an increasing trend in the western parts of LMR during 1992-2099, with high values in the central and south-west of Myanmar, west and south of Thailand; (ii) eWBR decreased in most scenarios; while eWUE increases under RCP 2.6 scenario during 2030's (0.15 gC.kg(-1).H2O.yr(-1)) and 2050's (0.13 gC.kg(-1).H2O. yr(-1)) and slightly increases with a trend of 0.02 gC.kg(-1).H2O.yr(-1)) under RCP 8.5 scenario during 2050's; (iii) evergreen and deciduous broadleaved forests exhibit high GPP values, while deciduous broadleaved forest was characterized by lowest eWBR and declining trends in eWUE in future scenarios; (iv) MAT significantly correlated with GPP, eWBR and eWUE (R-2 >0.70) while MAP indicated a week correlation with GPP and eWUE (R-2 <0.50) in all the RCPs scenarios, which indicating that water-carbon cycles coupled with hydrothermal conditions may be a key control factor for carbon sequestration in LMR in the context of climate change. |
| WOS关键词 | GROSS PRIMARY PRODUCTION ; WATER-USE EFFICIENCY ; PRIMARY PRODUCTIVITY ; VEGETATION CONTROL ; CO2 EXCHANGE ; MODEL ; CARBON ; ENERGY ; SATELLITE ; CHINA |
| 资助项目 | National Key R&D Program of China[2018YFA0606001] ; National Key R&D Program of China[2017YFA0604301] ; National Key R&D Program of China[2017YFA0604302] ; State Key Laboratory of Resources and Environmental Information System[O88RA901YA] ; State Key Laboratory of Resources and Environmental Information System[O8R8A085YA] ; National Natural Science Foundation of China[41771114] ; National Natural Science Foundation of China[41977404] |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:000705310700008 |
| 资助机构 | National Key R&D Program of China ; State Key Laboratory of Resources and Environmental Information System ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/167039]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Chen, Baozhang |
| 作者单位 | 1.Univ Ghent, Fac Biosci Engn, B-9000 Ghent, Belgium 2.Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China 3.Univ Johannesburg, Fac Sustainable Urban Planning & Dev, POB 17011, ZA-2028 Johannesburg, South Africa 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, 11 Datun Rd, Beijing 100101, Peoples R China 5.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Jiangsu, Peoples R China 6.Chinese Acad Meteorol Sci, Inst Atmospher Composit & Environm Meteorol, Beijing 100081, Peoples R China 7.Univ Chinese Acad Sci, 19 Yuquan Rd, Beijing 1000875, Peoples R China 8.Tianjin Univ, Sch Earth Syst Sci, Inst Surface Earth Syst Sci, Tianjin 300072, Peoples R China 9.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, 11 Datun Rd, Beijing 100101, Peoples R China 10.Catholic Univ Mozamb, Fac Agr Sci, Cuamba 3305, Niassa, Mozambique |
| 推荐引用方式 GB/T 7714 | Kayiranga, Alphonse,Chen, Baozhang,Guo, Lifeng,et al. Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios[J]. AGRICULTURAL AND FOREST METEOROLOGY,2021,310:18. |
| APA | Kayiranga, Alphonse.,Chen, Baozhang.,Guo, Lifeng.,Measho, Simon.,Hirwa, Hubert.,...&Ndayisaba, Felix.(2021).Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios.AGRICULTURAL AND FOREST METEOROLOGY,310,18. |
| MLA | Kayiranga, Alphonse,et al."Spatiotemporal variations of forest ecohydrological characteristics in the Lancang-Mekong region during 1992-2016 and 2020-2099 under different climate scenarios".AGRICULTURAL AND FOREST METEOROLOGY 310(2021):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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