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      Propagation thresholds and driving mechanism detection of karst meteorological- agricultural drought: A case study in Guizhou Province

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          Abstract

          It is significant to systematically quantify the propagation thresholds of meteorological drought to different levels of agricultural drought in karst areas, and revealit’s the propagation driving mechanisms. This can guide early warning and fine management of agricultural drought. In this study,we selected Guizhou Province as an example. The standardized precipitation evapotranspiration index (SPEI) and standardized soil moisture index (SSI) were used to characterize meteorological and agricultural drought. The run theory was used to identify, merge and eliminate drought events. The maximum correlation coefficient was used to capture the propagation time of meteorological-agricultural drought. The regression models were used to quantify the propagation intensity threshold from meteorological drought to different levels of agricultural drought. Finally, the propagation threshold driving mechanism was explored using geographical detectors. The results show that: (1) in terms of temporal variations during the past 21 years, regional meteorological drought had a shorter duration and a higher intensity than agricultural drought, Particularly, 2011 was a year of severe drought, and agricultural drought was significantly alleviated after 2014. (2) In terms of spatial variations, the "long duration area" of meteorological drought duration showed an "S" shaped distribution in the northeast, and the "short duration area" showed a point-like distribution. The overall duration of agricultural drought showed a spatial distribution of northeast to “medium-high in the northeast and low in the southwest. (3) The drought propagation time showed an alternating distribution of "valley-peak-valley-peak" from southeast to northwest. In terms of propagation intensity thresholds, light drought showed an overall spatial distribution of high in the east and low in the west. Moderate, severe, and extreme droughts showed a spatial distribution of low in the center north of southern Guizhou) and high in the borders. (4) There was a strong spatial coupling relationship between karst development intensity, altitude and meteorological-agricultural drought propagation thresholds. The interaction of different factors exhibited a two-factor enhancement and nonlinear enhancement on the propagation threshold. This indicates that synergistic effects of different factors on the propagation threshold were larger than single-factor effects.

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          An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data

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            Understanding the Role of Climate Characteristics in Drought Propagation

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              Propagation thresholds of meteorological drought for triggering hydrological drought at various levels

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                Author and article information

                Contributors
                Role: Data curationRole: MethodologyRole: ResourcesRole: SoftwareRole: Writing – original draftRole: Writing – review & editing
                Role: Funding acquisitionRole: Supervision
                Role: Methodology
                Role: Funding acquisition
                Role: Funding acquisition
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                17 April 2024
                2024
                : 19
                : 4
                : e0298654
                Affiliations
                [1 ] School of Geography and Environmental Science, Guizhou Normal University, Guiyang, China
                [2 ] National Engineering Technology Research Center for Karst Rocky Desertification Control, Guizhou Normal University, Guiyang, China
                [3 ] Guizhou Key Laboratory of Remote Sensing Application of Mountain Resources and Environment, Guiyang, China
                [4 ] Guizhou Hydrology and Water Resources Bureau, Guiyang, China
                National Cheng Kung University, TAIWAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0009-0005-7807-1356
                Article
                PONE-D-23-41191
                10.1371/journal.pone.0298654
                11023575
                38630777
                cdcebe06-5f89-4bfc-9e6f-f1137557e007
                © 2024 Chen et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 7 December 2023
                : 30 January 2024
                Page count
                Figures: 9, Tables: 3, Pages: 19
                Funding
                Funded by: the Natural Science Foundation of China
                Award ID: 41471032
                Award Recipient :
                Funded by: the Natural Science Foundation of China
                Award ID: u1612441
                Award Recipient :
                Funded by: Natural Science Foundation of Guizhou Province, China
                Award ID: OKHJ-ZK2023 Key028
                Funded by: natural and scientific research fund of Guizhou Water Resources Department
                Award ID: KT202237
                Funded by: Natural and scientific fund of Guizhou Science and Technology Agency
                Award ID: OKH J20101 No. 2026, OKH (20131 No. 2208)
                This study was supported by the Natural Science Foundation of China(ul612441; 41471032); the Natural Science Foundation of Guizhou Province, China (OKHJ-ZK2023 Key028); the natural and scientific research fund of Guizhou Water Resources Department(KT202237); the Natural and scientific fund of Guizhou Science and Technology Agency (OKH J20101 No. 2026, OKH (20131 No. 2208)). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Ecology and Environmental Sciences
                Drought
                Ecology and Environmental Sciences
                Natural Resources
                Water Resources
                Earth Sciences
                Geography
                Human Geography
                Land Use
                Social Sciences
                Human Geography
                Land Use
                Earth Sciences
                Atmospheric Science
                Meteorology
                Rain
                Biology and Life Sciences
                Agriculture
                Agricultural Soil Science
                Earth Sciences
                Soil Science
                Agricultural Soil Science
                Earth Sciences
                Hydrology
                Surface Water
                Earth Sciences
                Atmospheric Science
                Meteorology
                Earth Sciences
                Geomorphology
                Topography
                Landforms
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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