全球变暖背景下的青藏高原植被活动与致冷效应研究
结题报告
批准号:
41971141
项目类别:
面上项目
资助金额:
62.0 万元
负责人:
李稚
学科分类:
景观地理和综合自然地理
结题年份:
2023
批准年份:
2019
项目状态:
已结题
项目参与者:
李稚
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中文摘要
青藏高原被誉为“亚洲水塔”,是我国水资源安全的战略基地和重要的生态安全屏障。作为自然生态的脆弱区和气候变化的敏感区,青藏高原随着全球气候变暖,植被生长季的活动也呈现持续增强趋势。而植被活动的增强可能对气候变化产生反馈效应,从而加大青藏高原水、生态过程的不确定性。本项研究基于多种不同数据源的时-空-谱融合技术,构建高精度的青藏高原气温、降水、植被及生态系统结构数据集,系统研究近30年青藏高原植被活动与气候变化关系的不确定性,构建蒸散发-土壤-植被覆盖模型,开展青藏高原地表-大气协同作用的耦合模拟,解析青藏高原不同时期的植被变化以及不同地表植被覆盖下的地-气热量交换过程,解析植被变化与区域(全球)气候变化的互反馈作用,揭示全球变暖背景下青藏高原植被活动的致冷效应及其发生机制,辨析青藏高原不同植被覆盖度对抑制温升的贡献率,为应对气候变化及青藏高原生态安全屏障功能的保护与建设提供科学依据。
英文摘要
The Tibetan Plateau, with the status of "water tower of Asia", is the strategic bases of water resources and safety barriers of ecology in China. With the characteristics of fragile ecosystem and sensitivity to climate change, the activities of vegetation growing season also show a continuous enhancement on the context of climate change. The enhancement of vegetation activities may have a feedback effect on climate change, thus increasing the uncertainties of water and ecological processes in the Tibetan Plateau. It has important scientific significances to analyzing the interaction effects between ecosystem and climate change. Based on the meteorological and hydrological data, field observation data, remote sensing and reanalysis data, and combined the multi-source data analysis and assimilation technology, this project intends to couples and validates the multi-sources data, obtains a high-resolution database of temperature, precipitation, vegetation types and ecological system structure, analyses the change trend, spatial differentiation characteristics of vegetation and the relationship between climate change in the past 30 years. Besides, combined the soil-plant-atmosphere continuum model, this project analyzes the coupling simulation of surface-atmosphere synergy, and reveals the mutual feedback mechanism of vegetation and climate, clarifies the influence mechanism of the cooling effect of vegetation activities, and reveals the contribution rate of different vegetation coverage to the cooling effect in the Tibetan Plateau. This understanding will then lay a scientific basis for the coping strategies of climate change and safety barriers of ecology protection in the Tibetan Plateau.
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DOI:10.3390/rs13234952
发表时间:2021-12-01
期刊:REMOTE SENSING
影响因子:5
作者:Liu, Xigang;Chen, Yaning;Zan, Mei
通讯作者:Zan, Mei
DOI:10.1016/j.rse.2021.112821
发表时间:2022-02
期刊:Remote Sensing of Environment
影响因子:13.5
作者:Yongchang Liu;Zhi Li;Yaning Chen;Yupeng Li;Hongwei Li;Qianqian Xia;P. M. Kayumba
通讯作者:Yongchang Liu;Zhi Li;Yaning Chen;Yupeng Li;Hongwei Li;Qianqian Xia;P. M. Kayumba
DOI:10.1038/s41598-021-97240-4
发表时间:2021-09-09
期刊:Scientific reports
影响因子:4.6
作者:Liu Y;Li Z;Chen Y
通讯作者:Chen Y
DOI:10.1016/j.agrformet.2022.109233
发表时间:2022-12
期刊:Agricultural and Forest Meteorology
影响因子:6.2
作者:Yongchang Liu;Zhi Li;Yaning Chen;Patient Mindje Kayumba;Xuanxuan Wang;Chuanxi Liu;Yunxia Long
通讯作者:Yongchang Liu;Zhi Li;Yaning Chen;Patient Mindje Kayumba;Xuanxuan Wang;Chuanxi Liu;Yunxia Long
Evaluation and projection of snowfall changes in High Mountain Asia based on NASA's NEX-GDDP high-resolution daily downscaled dataset
基于 NASA NEX-GDPDP 高分辨率逐日缩小数据集对亚洲高山降雪变化进行评估和预测
DOI:10.1088/1748-9326/aba926
发表时间:2020-10-01
期刊:ENVIRONMENTAL RESEARCH LETTERS
影响因子:6.7
作者:Li, Yupeng;Chen, Yaning;Li, Zhi
通讯作者:Li, Zhi
中亚地区干旱变化的区域分异特征及驱动因子研究
天山山区降雪率变化及对河川径流影响分析
国内基金
海外基金