Investigating the vegetation's temporal–spatial response to meteorological and hydrogeological drought in drylands

IF 3.3 3区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Sedigheh Mohamadi, Ameneh Mianabadi, Sedigheh Anvari
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引用次数: 0

Abstract

As the most constraining environmental factor of vegetation development in arid areas, soil moisture is mainly supplied by precipitation and groundwater resources. Considering the varying sensitivity of different plant communities to precipitation and groundwater-induced water shortages, the communities' management requires the study of the effects of both meteorological and hydrogeological droughts on vegetation. Therefore, this study sought to model the effects of meteorological and hydrogeological droughts on vegetation indices obtained from MODIS satellite images in the Sirjan plain from 2000 to 2019. To this end, vegetation communities were first identified and separated based on extensive field operations, taking into account the Normalized Difference Vegetation Index (NDVI) and Vegetation Condition Index (VCI) at the plant communities' scale. Then, meteorological drought was calculated using Standardized Precipitation Index (SPI) and the hydrogeological drought was also measured by Groundwater Resource Index (GRI) via the Kriging technique. Finally, the relationship was modelled using Multivariate Linear Regression (MLR). The results revealed that SPI at a 6-month time scale (as an important index) played a significant role in elaborating the changes in VCI in eight communities out of 18 ones at the 6-month scale, acting as a strong and reliable estimator. Moreover, 61.6% of VCI changes in Artemisia sieberi-Seidlitzia rosmarinus community were explained with GRI and SPI at a 6-month time scale, indicating the dependence on groundwater and precipitation. Nonetheless, some communities (i.e. six cases) were unresponsive. These findings draw our attention to the importance of considering the special reaction of each plant community in the management.

Abstract Image

Abstract Image

旱地植被对气象和水文地质干旱的时空响应研究
土壤水分是干旱地区植被发展的最大限制性环境因素,主要由降水和地下水资源提供。考虑到不同植物群落对降水和地下水引起的缺水的敏感性不同,群落管理需要研究气象干旱和水文地质干旱对植被的影响。因此,本研究试图模拟 2000 年至 2019 年期间气象干旱和水文地质干旱对锡尔詹平原植被指数的影响。为此,首先根据广泛的实地操作,考虑到植物群落尺度的归一化差异植被指数(NDVI)和植被状况指数(VCI),对植被群落进行了识别和分离。然后,利用标准化降水指数(SPI)计算气象干旱,并通过克里格技术利用地下水资源指数(GRI)测量水文地质干旱。最后,使用多元线性回归(MLR)对两者之间的关系进行建模。结果显示,在 18 个社区中,有 8 个社区的 6 个月规模的 SPI(作为一个重要指数)在阐述 6 个月规模的 VCI 变化方面发挥了重要作用,是一个强大而可靠的估算指标。此外,在 6 个月的时间尺度上,61.6%的蒿草群落(Artemisia sieberi-Seidlitzia rosmarinus)的 VCI 变化可以用 GRI 和 SPI 来解释,这表明了对地下水和降水的依赖性。然而,有些群落(即 6 个案例)没有响应。这些发现提请我们注意在管理中考虑每个植物群落特殊反应的重要性。
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来源期刊
Geoscience Data Journal
Geoscience Data Journal GEOSCIENCES, MULTIDISCIPLINARYMETEOROLOGY-METEOROLOGY & ATMOSPHERIC SCIENCES
CiteScore
5.90
自引率
9.40%
发文量
35
审稿时长
4 weeks
期刊介绍: Geoscience Data Journal provides an Open Access platform where scientific data can be formally published, in a way that includes scientific peer-review. Thus the dataset creator attains full credit for their efforts, while also improving the scientific record, providing version control for the community and allowing major datasets to be fully described, cited and discovered. An online-only journal, GDJ publishes short data papers cross-linked to – and citing – datasets that have been deposited in approved data centres and awarded DOIs. The journal will also accept articles on data services, and articles which support and inform data publishing best practices. Data is at the heart of science and scientific endeavour. The curation of data and the science associated with it is as important as ever in our understanding of the changing earth system and thereby enabling us to make future predictions. Geoscience Data Journal is working with recognised Data Centres across the globe to develop the future strategy for data publication, the recognition of the value of data and the communication and exploitation of data to the wider science and stakeholder communities.
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