Arid
DOI10.3390/rs13061103
Assessing Vegetation Response to Multi-Scalar Drought across the Mojave, Sonoran, Chihuahuan Deserts and Apache Highlands in the Southwest United States
Khatri-Chhetri, Pratima; Hendryx, Sean M.; Hartfield, Kyle A.; Crimmins, Michael A.; Leeuwen, Willem J. D. van; Kane, Van R.
通讯作者Khatri-Chhetri, P (corresponding author), Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA.
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2021
卷号13期号:6
英文摘要Understanding the patterns and relationships between vegetation productivity and climatic conditions is essential for predicting the future impacts of climate change. Climate change is altering precipitation patterns and increasing temperatures in the Southwest United States. The large-scale and long-term effects of these changes on vegetation productivity are not well understood. This study investigates the patterns and relationships between seasonal vegetation productivity, represented by Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI), and the Standardized Precipitation Evapotranspiration Index (SPEI) across the Mojave, Sonoran, and Chihuahuan Deserts and the Apache Highlands of the Southwest United States over 16 years from 2000 to 2015. To examine the spatiotemporal gradient and response of vegetation productivity to dry and wet conditions, we evaluated the linear trend of different SPEI timescales and correlations between NDVI and SPEI. We found that all four ecoregions are experiencing more frequent and severe drought conditions in recent years as measured by negative SPEI trends and severe negative SPEI values. We found that changes in NDVI were more strongly correlated with winter rather than summer water availability. Investigating correlations by vegetation type across all four ecoregions, we found that grassland and shrubland productivity were more dependent on summer water availability whereas sparse vegetation and forest productivity were more dependent on winter water availability. Our results can inform resource management and enhance our understanding of vegetation vulnerability to climate change.
英文关键词Normalized Difference Vegetation Index (NDVI) Standardized Precipitation Evapotranspiration Index (SPEI) Southwest United States semi-arid regions drought vegetation productivity
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000651947600001
WOS关键词REAL TIME DETECTION ; BEETLE INFESTATION ; CLIMATE-CHANGE ; GREAT-PLAINS ; NDVI ; PRECIPITATION ; US ; TEMPERATURE ; INDEX ; WATER
WOS类目Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构University of Arizona
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/351495
作者单位[Khatri-Chhetri, Pratima; Kane, Van R.] Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA; [Hendryx, Sean M.] Univ Arizona, Sch Informat, Tucson, AZ 85721 USA; [Hartfield, Kyle A.; Leeuwen, Willem J. D. van] Univ Arizona, Sch Nat Resources & Environm, Tucson, AZ 85721 USA; [Crimmins, Michael A.] Univ Arizona, Dept Environm Sci, Tucson, AZ 85721 USA; [Leeuwen, Willem J. D. van] Univ Arizona, Sch Geog Dev & Environm, Tucson, AZ 85721 USA
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Khatri-Chhetri, Pratima,Hendryx, Sean M.,Hartfield, Kyle A.,et al. Assessing Vegetation Response to Multi-Scalar Drought across the Mojave, Sonoran, Chihuahuan Deserts and Apache Highlands in the Southwest United States[J]. University of Arizona,2021,13(6).
APA Khatri-Chhetri, Pratima,Hendryx, Sean M.,Hartfield, Kyle A.,Crimmins, Michael A.,Leeuwen, Willem J. D. van,&Kane, Van R..(2021).Assessing Vegetation Response to Multi-Scalar Drought across the Mojave, Sonoran, Chihuahuan Deserts and Apache Highlands in the Southwest United States.REMOTE SENSING,13(6).
MLA Khatri-Chhetri, Pratima,et al."Assessing Vegetation Response to Multi-Scalar Drought across the Mojave, Sonoran, Chihuahuan Deserts and Apache Highlands in the Southwest United States".REMOTE SENSING 13.6(2021).
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