CCPortal
DOI10.1016/j.gloplacha.2019.01.014
Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India
Jha, Srinidhi1; Das, Jew1; Sharma, Ashutosh2; Hazra, Budhaditya2; Goyal, Manish Kumar1
发表日期2019
ISSN0921-8181
EISSN1872-6364
卷号176页码:23-35
英文摘要

Vegetation distribution and growth are significantly affected by changing climate conditions. Understanding the response of vegetation to hydroclimatic disturbances such as droughts is crucial in context of climate change. The sensitivity of terrestrial ecosystem to drought is difficult to measure because of problems related to drought quantification, variable response of vegetation types and changing climate-vegetation dynamics. Since, India is hugely dependent on its vegetation and cropland, identifying the impact of droughts on vegetation is essential. In this study, we estimate the likelihood of vegetation droughts across India in changing scenarios of temperature, precipitation and soil moisture content. We also study the resilience of vegetation cover to disturbances induced by a dry condition. From the investigation, it is observed that at least half the area of 16 out of 24 major river basins is facing high chances of vegetation droughts due to lowered soil moisture levels. The croplands are most likely to be affected by drought, which is of paramount concern for country's food security. Further investigation suggests that at least one-third area of 18 river basins is non-resilient to vegetation droughts. Moreover, > 50% of each vegetation type is non-resilient, which points out the fragility of country's terrestrial ecosystems. This study facilitates the understanding of vegetation drought hotspot regions, factors risking the terrestrial ecosystem and their ability to withstand such conditions. These findings provide useful insights for policy makers to develop effective strategies for vegetation drought mitigation and sustainable ecosystem management.


WOS研究方向Physical Geography ; Geology
来源期刊GLOBAL AND PLANETARY CHANGE
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/97212
作者单位1.Indian Inst Technol, Discipline Civil Engn, Indore 453552, Madhya Pradesh, India;
2.Indian Inst Technol, Dept Civil Engn, Gauhati 781039, India
推荐引用方式
GB/T 7714
Jha, Srinidhi,Das, Jew,Sharma, Ashutosh,et al. Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India[J],2019,176:23-35.
APA Jha, Srinidhi,Das, Jew,Sharma, Ashutosh,Hazra, Budhaditya,&Goyal, Manish Kumar.(2019).Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India.GLOBAL AND PLANETARY CHANGE,176,23-35.
MLA Jha, Srinidhi,et al."Probabilistic evaluation of vegetation drought likelihood and its implications to resilience across India".GLOBAL AND PLANETARY CHANGE 176(2019):23-35.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jha, Srinidhi]的文章
[Das, Jew]的文章
[Sharma, Ashutosh]的文章
百度学术
百度学术中相似的文章
[Jha, Srinidhi]的文章
[Das, Jew]的文章
[Sharma, Ashutosh]的文章
必应学术
必应学术中相似的文章
[Jha, Srinidhi]的文章
[Das, Jew]的文章
[Sharma, Ashutosh]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。