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气候变化对中亚大湖区植被物候的影响,1982-2014 年。

Impacts of climate change on vegetation phenology over the Great Lakes Region of Central Asia from 1982 to 2014.

机构信息

Key laboratory of land surface pattern and simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No. 11A, Datun Road, Chaoyang District, Beijing 100101, China; University of Chinese Academy of Sciences, No. 19A, Yuquan Road, Shijingshan District, Beijing 100049, China.

Key laboratory of land surface pattern and simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, No. 11A, Datun Road, Chaoyang District, Beijing 100101, China.

出版信息

Sci Total Environ. 2022 Nov 1;845:157227. doi: 10.1016/j.scitotenv.2022.157227. Epub 2022 Jul 7.

Abstract

Dryland ecosystems in the Great Lakes Region of Central Asia (GLRCA) are highly sensitive to climate change due to the climate of spring precipitation. Although shifts in vegetation phenology have been widely attributed to rising temperature, the effects of solar radiation and drought on phenology remain largely unknown. Understanding the mechanisms of vegetation phenology response to climatic factors is essential for assessing the impact of climate change on dryland ecosystems. In this study, we investigated the spatial and temporal variations of vegetation phenology across the GLRCA using a long-term series of Normalized Difference Vegetation Index (NDVI), and then examined the response of vegetation phenology to climate change within different climate zones by combining with climate data (surface temperature, soil moisture, short-wave radiation, and standardized precipitation evapotranspiration index (SPEI)). The results suggested that the start of growing season (SGS) and the end of growing season (EGS) were significantly earlier regionally by -0.143 days/year and -0.363 days/year, respectively. Because of changes in SGS and EGS, length of growing season (LGS) across the GLRCA was shortened at a rate of -0.442 days/yr, which was mainly attributed to advanced EGS. Additionally, SGS of vegetation was negatively correlated with surface temperature but positively correlated with soil moisture and SPEI. These results indicated that surface temperature was a major determinant of advanced spring phenology, while increased soil moisture and mitigated drought would delay spring phenology. The response of autumn phenology to surface temperature and short-wave radiation varied across different climate zones. In arid climate zone, autumn phenology was obviously advanced with the increase of surface temperature and short-wave radiation. In cold climate zone, higher surface temperature and short-wave radiation postponed autumn phenology. Meanwhile, the thermal growing season did not accurately characterize the actual vegetation growing season because GLRCA phenology was different from most of Northern Hemisphere.

摘要

中亚大湖地区(GLRCA)的旱地生态系统对气候变化高度敏感,因为春季降水的气候。尽管植被物候的变化广泛归因于气温上升,但太阳辐射和干旱对物候的影响在很大程度上仍不清楚。了解植被物候对气候因素的响应机制对于评估气候变化对旱地生态系统的影响至关重要。在这项研究中,我们使用归一化差异植被指数(NDVI)的长期序列,研究了 GLRCA 植被物候的时空变化,然后通过结合气候数据(地表温度、土壤水分、短波辐射和标准化降水蒸散指数(SPEI)),研究了植被物候对不同气候区气候变化的响应。结果表明,生长季开始(SGS)和生长季结束(EGS)分别以-0.143 天/年和-0.363 天/年的速度在区域上显著提前。由于 SGS 和 EGS 的变化,GLRCA 的生长季长度以-0.442 天/yr 的速度缩短,这主要归因于 EGS 的提前。此外,植被的 SGS 与地表温度呈负相关,与土壤水分和 SPEI 呈正相关。这些结果表明,地表温度是春季物候提前的主要决定因素,而土壤水分增加和干旱缓解会延迟春季物候。不同气候区秋季物候对地表温度和短波辐射的响应不同。在干旱气候区,随着地表温度和短波辐射的增加,秋季物候明显提前。在寒冷气候区,较高的地表温度和短波辐射会推迟秋季物候。同时,热生长季并不能准确描述实际的植被生长季,因为 GLRCA 的物候与北半球大部分地区不同。

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