Suppr超能文献

评估干旱对中国净初级生产力的影响。

Assessing the impacts of droughts on net primary productivity in China.

机构信息

School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, 135 West Xingang Road, Guangzhou 510275, PR China.

出版信息

J Environ Manage. 2013 Jan 15;114:362-71. doi: 10.1016/j.jenvman.2012.10.031. Epub 2012 Nov 17.

Abstract

Frequency and severity of droughts were projected to increase in many regions. However, their effects of temporal dynamics on the terrestrial carbon cycle remain uncertain, and hence deserve further investigation. In this paper, the droughts that occurred in China during 2001-2010 were identified by using the standardized precipitation index (SPI). Standardized anomaly index (SAI), which has been widely employed in reflecting precipitation, was extended to evaluate the anomalies of net primary productivity (NPP). In addition, influences of the droughts on vegetation were explored by examining the temporal dynamics of SAI-NPP along with area-weighted drought intensity at different time scales (1, 3, 6, 9 and 12 months). Year-to-year variability of NPP with several factors, including droughts, NDVI, radiation and temperature, was analyzed as well. Consequently, the droughts in the years 2001, 2006 and 2009 were well reconstructed. This indicates that SPI could be applied to the monitoring of the droughts in China during the past decade (2001-2010) effectively. Moreover, strongest correlations between droughts and NPP anomalies were found during or after the drought intensities reached their peak values. In addition, some droughts substantially reduced the countrywide NPP, whereas the others did not. These phenomena can be explained by the regional diversities of drought intensity, drought duration, areal extents of the droughts, as well as the cumulative and lag responses of vegetation to the precipitation deficits. Besides the drought conditions, normalized difference vegetation index (NDVI), radiation and temperature also contribute to the interannual variability of NPP.

摘要

预计许多地区的干旱频率和严重程度将会增加。然而,它们对陆地碳循环的时间动态的影响尚不确定,因此值得进一步研究。本文利用标准化降水指数(SPI)识别了 2001-2010 年期间在中国发生的干旱。广泛用于反映降水的标准化异常指数(SAI)被扩展用于评估净初级生产力(NPP)的异常。此外,通过检查不同时间尺度(1、3、6、9 和 12 个月)的 SAI-NPP 时间动态以及面积加权干旱强度,探讨了干旱对植被的影响。还分析了 NPP 与干旱、NDVI、辐射和温度等多个因素的年际变化。因此,重建了 2001 年、2006 年和 2009 年的干旱情况。这表明 SPI 可有效用于监测过去十年(2001-2010 年)中国的干旱情况。此外,在干旱强度达到峰值或之后,干旱与 NPP 异常之间存在最强的相关性。此外,一些干旱显著降低了全国的 NPP,而另一些干旱则没有。这些现象可以通过干旱强度、干旱持续时间、干旱面积范围以及植被对降水亏缺的累积和滞后响应的区域差异来解释。除了干旱条件外,归一化差异植被指数(NDVI)、辐射和温度也会影响 NPP 的年际变化。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验