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遥感分析中亚地区生态系统水分利用效率对干旱的响应 被引量:17

Response of water use efficiency of Central Asia ecosystem to drought based on remote sensing data
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摘要 生态系统水分利用效率(water use efficiency,WUE)是碳水循环中的重要参数。全球干旱在未来几十年将会持续增加,干旱对生态系统WUE的影响研究成为了区域及全球尺度上的研究热点与难点。该文研究中亚地区生态系统WUE对干旱的响应。以中亚5国及中国新疆为研究区,利用基于中分辨率成像光谱仪的总初级生产力产品和蒸散产品计算2000—2014年生态系统尺度上的WUE,使用归一化植被指数和陆地表面温度计算温度植被干旱指数分析干旱区生态系统WUE与干旱的关系。结果表明,WUE对干旱的响应在不同地区和植被类型中表现出一定的差异;当干旱发生时,干旱区生态系统WUE对干旱通常表现出负面响应,同时干旱对生态系统WUE有滞后影响;干旱事件结束后,生态系统WUE与干旱指数呈现正相关关系;另外,干旱区生态系统WUE对干湿环境突变敏感,当环境从干旱转向湿润,郁闭灌木林,农田,森林,草地,稀疏灌木林WUE分别增加了30.03%,49.57%,18.39%,54.71%,49.28%,WUE的快速增长表明了干旱区生态系统有较强的恢复力稳定性。 Ecosystem water-use efficiency plays an important role in carbon and water cycles. Drought is a natural phenomenon that occurs when water availability is significantly below normal levels over a long period and the supply cannot meet the existing demand. The intensity and frequency of global drought events will continually increase, and heavily affects the terrestrial carbon cycle. However, to our knowledge, the potential response of ecosystems to this drying trend still remains unclear, especially in arid ecosystem. The studies on the impact of drought on ecosystem water-use efficiency have been the research hotspot and difficulties at regional and global scales. In this study, we analyzed the response of water use efficiency of Central Asia to drought. The data were obtained from the well-established products from the moderate resolution imaging spectroradiometer(MODIS). The data of gross primary productivity(GPP) and evapotranspiration(ET) were from the MOD17 A3. The resolution of data was 1 km. The duration was from the year of 2000 to 2010. The data had been validated. Temperature vegetation dryness index(TVDI) was calculated based on the land surface temperature(LST) of normalized difference vegetation index(NDVI). The WUE was the ratio of GPP and ET. Land coverage was classified by CMG products(MCD12 C1) with resolution of 1 km. The desert and water body where the ET was almost 0 was ruled out. The relationship between ecosystem WUE and the TVDI at the arid-land ecosystems scale were analyzed. The results showed that about 60.74% of the Central Asia had a drying trend from the year of 2000 to 2014 but the trend was not significant(P0.05). About 20.01% of the area had significant drying trend from the year of 2000 to 2014, which was mainly distributed in the northwest of Kazakhstan, Tianshan Mountains in Xinjiang and oasis in the southern Xinjiang. The response of WUE to drought was greatly different among various regions and biomes. Severe arid ecosystems had the highest WUE, followed by drought and slight drought ecosystems. The lowest WUE was observed for humid ecosystems; the correlation between annual WUE and TVDI in drought stress period and post drought stress period showed different patterns over Central Asia, both of which had large spatial heterogeneity. The WUE for arid ecosystems was negatively correlated with drought; during the drought stress, the WUE and TVDI showed the negative correlation in over 63.57% of lands. In post drought stress period, the WUE was positively correlated with TVDI in approximately 66.7% of Central Asia lands. During the drought stress, the correlation between WUE and previous year TVDI was higher than that between WUE and the current year TVDI, showing obvious lag effects of drought on ecosystem WUE. However, there was not apparent lag effect after drought stress. In addition, the arid ecosystem WUE showed a sensitive response to abrupt changes in the dry-wet environment. In post drought period, the WUE of the closed shrubland, cropland, forest, grassland and open shrubland approximately increased by 30.03%, 49.57%, 18.39%, 54.71% and 49.28% respectively compared to that of the drought stress period. A rapid increase in the ecosystem WUE occurred when the environment shifts from dryness to wetness. This indicates that the arid ecosystems in the region have relatively stable resilience against the disturbance of drought.
作者 邹杰 丁建丽 秦艳 王飞 Zou Jie;Ding Jianli;Qin Yan;Wang Fei(College of Resources and Environment Sciences, Xinjiang University, Urumqi 830046, China;Xinjiang Common University, Key Lab of Smart City and Environment Simulation, Xinjiang University, Urumqi 830046, China;Key Laboratory of Oasis Ecology under Ministry of Education, Xinjiang University, Urumqi 830046, China)
出处 《农业工程学报》 EI CAS CSCD 北大核心 2018年第9期145-152,313,314,共10页 Transactions of the Chinese Society of Agricultural Engineering
基金 自治区科技支疆项目(201591101) 自治区重点实验室专项基金(2016D03001 2014KL005) 国家自然科学基金(U1303381 41261090 41161063) 教育部促进与美大地区科研合作与高层次人才培养项目
关键词 干旱 遥感 生态 水分利用效率 中亚 响应 滞后影响 drought remote sensing ecology water use efficiency Central Asian response lag effect
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