Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s Dryland

Under the United Nations Decade on Ecosystem Restoration (2021 to 2030), a geographic context-specific issue emerged that how local people would like to support ecological restoration programs. Regarding previous studies, which often identified the key variables at a fixed scale, we formulated the s...

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Main Authors: Yanxu Liu, Tianjing Wu, Xutong Wu, Wenwu Zhao
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2024-01-01
Series:Ecosystem Health and Sustainability
Online Access:https://spj.science.org/doi/10.34133/ehs.0283
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author Yanxu Liu
Tianjing Wu
Xutong Wu
Wenwu Zhao
author_facet Yanxu Liu
Tianjing Wu
Xutong Wu
Wenwu Zhao
author_sort Yanxu Liu
collection DOAJ
description Under the United Nations Decade on Ecosystem Restoration (2021 to 2030), a geographic context-specific issue emerged that how local people would like to support ecological restoration programs. Regarding previous studies, which often identified the key variables at a fixed scale, we formulated the scientific question as follows: how do landscape-level variables influence the impact of individual-level characteristics on residents’ willingness to support ecological restoration? Based on a survey of 2,753 households that experienced ecological restoration programs in China’s dryland and 4 landscape-level variables, namely, normalized difference vegetation index, land surface temperature, relative humidity, and precipitation, we quantitatively measured the geographic context-specific impacts on residents’ willingness to support ecological restoration by multilevel linear models. The results demonstrated that the cross-scale effects of normalized difference vegetation index were mostly negative (3 negative and 1 positive), the cross-scale effects of land surface temperature were mostly positive (1 negative and 4 positive), and relative humidity has only 1 negative cross-scale effect. The cross-scale effect was apt to exist in residents landscape utilization characteristics rather than the commonly used residents demographic characteristics, such as gender, age, education, income, and family structure. We conclude that the findings on the impacts of local individual-level variables are likely to lose generalizability and replicability if the geographic context is ignored.
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language English
publishDate 2024-01-01
publisher American Association for the Advancement of Science (AAAS)
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spelling doaj-art-62b35c6c28564a6fa8e9a2a3301d96f42024-12-18T20:59:25ZengAmerican Association for the Advancement of Science (AAAS)Ecosystem Health and Sustainability2332-88782024-01-011010.34133/ehs.0283Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s DrylandYanxu Liu0Tianjing Wu1Xutong Wu2Wenwu Zhao3State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.Under the United Nations Decade on Ecosystem Restoration (2021 to 2030), a geographic context-specific issue emerged that how local people would like to support ecological restoration programs. Regarding previous studies, which often identified the key variables at a fixed scale, we formulated the scientific question as follows: how do landscape-level variables influence the impact of individual-level characteristics on residents’ willingness to support ecological restoration? Based on a survey of 2,753 households that experienced ecological restoration programs in China’s dryland and 4 landscape-level variables, namely, normalized difference vegetation index, land surface temperature, relative humidity, and precipitation, we quantitatively measured the geographic context-specific impacts on residents’ willingness to support ecological restoration by multilevel linear models. The results demonstrated that the cross-scale effects of normalized difference vegetation index were mostly negative (3 negative and 1 positive), the cross-scale effects of land surface temperature were mostly positive (1 negative and 4 positive), and relative humidity has only 1 negative cross-scale effect. The cross-scale effect was apt to exist in residents landscape utilization characteristics rather than the commonly used residents demographic characteristics, such as gender, age, education, income, and family structure. We conclude that the findings on the impacts of local individual-level variables are likely to lose generalizability and replicability if the geographic context is ignored.https://spj.science.org/doi/10.34133/ehs.0283
spellingShingle Yanxu Liu
Tianjing Wu
Xutong Wu
Wenwu Zhao
Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s Dryland
Ecosystem Health and Sustainability
title Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s Dryland
title_full Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s Dryland
title_fullStr Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s Dryland
title_full_unstemmed Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s Dryland
title_short Geographic Context-Specific Impacts on Residents’ Willingness to Support Ecological Restoration in China’s Dryland
title_sort geographic context specific impacts on residents willingness to support ecological restoration in china s dryland
url https://spj.science.org/doi/10.34133/ehs.0283
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AT tianjingwu geographiccontextspecificimpactsonresidentswillingnesstosupportecologicalrestorationinchinasdryland
AT xutongwu geographiccontextspecificimpactsonresidentswillingnesstosupportecologicalrestorationinchinasdryland
AT wenwuzhao geographiccontextspecificimpactsonresidentswillingnesstosupportecologicalrestorationinchinasdryland