Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades
Water use efficiency (WUE), as an important parameter of ecosystem carbon-water cycle, is an important index to assess vulnerability to extreme drought events. However, little was known about the corresponding cumulative and lagged responses of WUE to drought in the dry and hot valleys of Southwest...
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1493668/full |
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| author | Dawei Wang Dawei Wang Dawei Wang Duni Jia Yao Zhang Xin Tao Feibing Han Yanbin Ma Yu Guo Jinshan Li Lili Li Lili Li |
| author_facet | Dawei Wang Dawei Wang Dawei Wang Duni Jia Yao Zhang Xin Tao Feibing Han Yanbin Ma Yu Guo Jinshan Li Lili Li Lili Li |
| author_sort | Dawei Wang |
| collection | DOAJ |
| description | Water use efficiency (WUE), as an important parameter of ecosystem carbon-water cycle, is an important index to assess vulnerability to extreme drought events. However, little was known about the corresponding cumulative and lagged responses of WUE to drought in the dry and hot valleys of Southwest China. This region is covered by alpine-valley landscapes, fragmented topographic features, Foehn Effect, where drought response mechanisms are not yet fully understood. This study analyzed the spatial-temporal variation of WUE from 2000 to 2020 in Binchuan (BC) and Yuanmou (YM) regions and the time-lag and -accumulation effects of 12 monthly self-calibrating Palmer Drought Index (scPDSI) on the WUE. Given the variability of vegetation types, land use/cover change data was used to investigate the variability of WUE between the two areas. Subsequently, the Pearson Correlation coefficient (Pearson, R) analysis, considering the influence of drought on time-lag and -accumulation effects, was used to analyze the response mechanism of water use efficiency to scPDSI in BC and YM comparatively. The results show that (1) From 2001 to 2020, BC’s average annual WUE was 2.59 gC m−2 mm−1, and YM’s was 2.84 gC·m−2·mm−1, with similar spatial distributions. (2) Over the past 2 decades, BC’s WUE increased steadily at a rate of 0.012 gC m-2 mm−1 a−1, while Yuanmou’s WUE grew at 0.0082 gC m-2 mm−1 a−1. (3) The lag response of WUE to drought is minimal in both regions, with BC’s cultivated land showing greater sensitivity to drought than YM. (4) The cumulative effect of drought on WUE across different land uses in both BC and YM is generally small, with the lowest sensitivity in forest land to drought. |
| format | Article |
| id | doaj-art-7b8a3011684946bc80099db0128ad565 |
| institution | DOAJ |
| issn | 2296-665X |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj-art-7b8a3011684946bc80099db0128ad5652025-08-20T03:01:07ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2025-02-011310.3389/fenvs.2025.14936681493668Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decadesDawei Wang0Dawei Wang1Dawei Wang2Duni Jia3Yao Zhang4Xin Tao5Feibing Han6Yanbin Ma7Yu Guo8Jinshan Li9Lili Li10Lili Li11College of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Lanzhou, Gansu, ChinaCollege of Geography and Environmental Science, Northwest Normal University, Research Center of Wetland Resources Protection and Industrial Development Engineering of Gansu Province, Lanzhou, ChinaCollege of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaCollege of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaCollege of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaCollege of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaCollege of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaCollege of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaGrassland Workstation, Wuwei, ChinaCollege of Earth Science and Engineering, West Yunnan University of Applied Sciences, Dali, ChinaNorthwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, ChinaWater use efficiency (WUE), as an important parameter of ecosystem carbon-water cycle, is an important index to assess vulnerability to extreme drought events. However, little was known about the corresponding cumulative and lagged responses of WUE to drought in the dry and hot valleys of Southwest China. This region is covered by alpine-valley landscapes, fragmented topographic features, Foehn Effect, where drought response mechanisms are not yet fully understood. This study analyzed the spatial-temporal variation of WUE from 2000 to 2020 in Binchuan (BC) and Yuanmou (YM) regions and the time-lag and -accumulation effects of 12 monthly self-calibrating Palmer Drought Index (scPDSI) on the WUE. Given the variability of vegetation types, land use/cover change data was used to investigate the variability of WUE between the two areas. Subsequently, the Pearson Correlation coefficient (Pearson, R) analysis, considering the influence of drought on time-lag and -accumulation effects, was used to analyze the response mechanism of water use efficiency to scPDSI in BC and YM comparatively. The results show that (1) From 2001 to 2020, BC’s average annual WUE was 2.59 gC m−2 mm−1, and YM’s was 2.84 gC·m−2·mm−1, with similar spatial distributions. (2) Over the past 2 decades, BC’s WUE increased steadily at a rate of 0.012 gC m-2 mm−1 a−1, while Yuanmou’s WUE grew at 0.0082 gC m-2 mm−1 a−1. (3) The lag response of WUE to drought is minimal in both regions, with BC’s cultivated land showing greater sensitivity to drought than YM. (4) The cumulative effect of drought on WUE across different land uses in both BC and YM is generally small, with the lowest sensitivity in forest land to drought.https://www.frontiersin.org/articles/10.3389/fenvs.2025.1493668/fulldry-hot valleywater use efficiency (wue)self-calibrating palmer drought index (scPDSI)time-lag effecttime-accumulation effect |
| spellingShingle | Dawei Wang Dawei Wang Dawei Wang Duni Jia Yao Zhang Xin Tao Feibing Han Yanbin Ma Yu Guo Jinshan Li Lili Li Lili Li Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades Frontiers in Environmental Science dry-hot valley water use efficiency (wue) self-calibrating palmer drought index (scPDSI) time-lag effect time-accumulation effect |
| title | Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades |
| title_full | Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades |
| title_fullStr | Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades |
| title_full_unstemmed | Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades |
| title_short | Temporal lags and carbon-water coupling in the dry-hot valleys of southwest China over the past two decades |
| title_sort | temporal lags and carbon water coupling in the dry hot valleys of southwest china over the past two decades |
| topic | dry-hot valley water use efficiency (wue) self-calibrating palmer drought index (scPDSI) time-lag effect time-accumulation effect |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2025.1493668/full |
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