Spatial Aggregation of Global Dry and Wet Patterns Based on the Standard Precipitation Index

Guan，Yanlong1; Liu，Junguo1; Chen，Aifang1; Li，Delong1; Jiang，Yelin2; Cui，Wenhui1; Lu，Hongwei3; Pellikka，Petri4,5; Heiskanen，Janne4,6; Maeda，Eduardo4,7

2022-05-01

10.1029/2022EF002720

Earth's Future   影响因子和分区

2328-4277

Quantifying the spatial integrity and patterns of dry/wet events over land is essential to understand how the local hydrological regime responds to environmental changes. Spatial aggregation changes in dry and wet areas over land have not been studied extensively. Based on a patch-mosaic landscape model, we analyzed spatial aggregation changes at two levels corresponding to landscape design during 1949 and 2018. At the landscape level, the global aggregation degree increased initially and then weakened around 2006. However, the spatial aggregation process between dry and wet patterns was inconsistent. For the dry pattern, spatial aggregation was mainly caused by area decline induced decreases in the patch number. For the wet pattern, spatial aggregation was caused by area enlargement induced decreases in the patch number. At the class level, with increases in the dry/wet magnitude, the correlation between the affected area and aggregation strengthened. Our results provide new insights to understand the spatial processes and future trends of dry/wet patterns over land. We argue that future vulnerability of agriculture and ecosystems to drought is likely to be further mediated by the changes in drought patterns' spatial structure.

SCI

英语

第一 ; 通讯

Academy of Finland[318252];Academy of Finland[319905];Academy of Finland[345472];National Natural Science Foundation of China[41625001];Southern University of Science and Technology[G02296302];Southern University of Science and Technology[G02296402];

Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences

Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences

WOS:000802020100001

AMER GEOPHYSICAL UNION

2-s2.0-85130829886

Scopus

1.School of Environmental Science and Engineering,Southern University of Science and Technology of China,Shenzhen,China
2.Department of Civil and Environmental Engineering,University of Connecticut,Storrs,United States
3.Key Laboratory of Water Cycle and Related Land Surface Process,Institute of Geographic Science and Natural Resources Research,Chinese Academy of Science,Beijing,China
4.Department of Geosciences and Geography,University of Helsinki,Helsinki,Finland
5.State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,China
6.Faculty of Science,Institute for Atmospheric and Earth System Research,University of Helsinki,Helsinki,Finland
7.Area of Ecology and Biodiversity,School of Biological Sciences,Faculty of Science,University of Hong Kong,Hong Kong

Guan，Yanlong,Liu，Junguo,Chen，Aifang,et al. Spatial Aggregation of Global Dry and Wet Patterns Based on the Standard Precipitation Index[J]. Earth's Future,2022,10(5).

Guan，Yanlong.,Liu，Junguo.,Chen，Aifang.,Li，Delong.,Jiang，Yelin.,...&Maeda，Eduardo.(2022).Spatial Aggregation of Global Dry and Wet Patterns Based on the Standard Precipitation Index.Earth's Future,10(5).

Guan，Yanlong,et al."Spatial Aggregation of Global Dry and Wet Patterns Based on the Standard Precipitation Index".Earth's Future 10.5(2022).