Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic Zone

Under the global urbanization context, irrational land use patterns have exacerbated ecosystem imbalance. Developing watershed ecological risk assessment methods based on adaptive cycle theory holds significant scientific importance for flood risk prevention. This study established a watershed ecolo...

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Main Authors: Yixi Gu, Jiaxuan Wang, Xinyi Su, Kaili Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Land
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Online Access:https://www.mdpi.com/2073-445X/14/6/1265
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author Yixi Gu
Jiaxuan Wang
Xinyi Su
Kaili Zhang
author_facet Yixi Gu
Jiaxuan Wang
Xinyi Su
Kaili Zhang
author_sort Yixi Gu
collection DOAJ
description Under the global urbanization context, irrational land use patterns have exacerbated ecosystem imbalance. Developing watershed ecological risk assessment methods based on adaptive cycle theory holds significant scientific importance for flood risk prevention. This study established a watershed ecological risk assessment framework within the adaptive cycle framework, focusing on the Poyang Lake Ecological Economic Zone in the middle-lower Yangtze River Basin. The results revealed that high-risk ecological areas clustered around the Poyang Lake water system with scattered urban distribution, while medium-risk zones dominated the study area. Low-risk regions primarily concentrated in the Yuanhe Plain of southwestern region. The system exhibited significant spatial heterogeneity in “exposure” and “disturbance” risks. Medium–high exposure pixels accounted for 43.3% with a dispersed distribution, whereas disturbance pixels concentrated in Poyang Lake waters and developed urban areas (64.34%), indicating that disturbance exerted a stronger influence on risk assessment outcomes. Governance practices demonstrated that policy preferences may introduce biases into watershed ecological risk evaluations. Multi-scenario simulations using an Ordered Weighted Averaging (OWA) algorithm identified risk-uncertain zones in southeastern hilly areas and northern Poyang Lake waters, while distinguishing stable high/low-risk regions unaffected by decision-making influences. These findings provide critical references for formulating sustainable watershed management strategies.
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spelling doaj-art-8e4a0ede6ac84d06bd4732f97173eeb62025-08-20T02:21:13ZengMDPI AGLand2073-445X2025-06-01146126510.3390/land14061265Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic ZoneYixi Gu0Jiaxuan Wang1Xinyi Su2Kaili Zhang3School of Landscape Architecture, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing 100083, ChinaSchool of Landscape Architecture, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing 100083, ChinaSchool of Landscape Architecture, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing 100083, ChinaSchool of Landscape Architecture, Beijing Forestry University, No. 35 Qinghua East Road, Haidian District, Beijing 100083, ChinaUnder the global urbanization context, irrational land use patterns have exacerbated ecosystem imbalance. Developing watershed ecological risk assessment methods based on adaptive cycle theory holds significant scientific importance for flood risk prevention. This study established a watershed ecological risk assessment framework within the adaptive cycle framework, focusing on the Poyang Lake Ecological Economic Zone in the middle-lower Yangtze River Basin. The results revealed that high-risk ecological areas clustered around the Poyang Lake water system with scattered urban distribution, while medium-risk zones dominated the study area. Low-risk regions primarily concentrated in the Yuanhe Plain of southwestern region. The system exhibited significant spatial heterogeneity in “exposure” and “disturbance” risks. Medium–high exposure pixels accounted for 43.3% with a dispersed distribution, whereas disturbance pixels concentrated in Poyang Lake waters and developed urban areas (64.34%), indicating that disturbance exerted a stronger influence on risk assessment outcomes. Governance practices demonstrated that policy preferences may introduce biases into watershed ecological risk evaluations. Multi-scenario simulations using an Ordered Weighted Averaging (OWA) algorithm identified risk-uncertain zones in southeastern hilly areas and northern Poyang Lake waters, while distinguishing stable high/low-risk regions unaffected by decision-making influences. These findings provide critical references for formulating sustainable watershed management strategies.https://www.mdpi.com/2073-445X/14/6/1265landscape vulnerabilityordered weighted averageresilience assessmentrisk governancesocial-ecological system
spellingShingle Yixi Gu
Jiaxuan Wang
Xinyi Su
Kaili Zhang
Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic Zone
Land
landscape vulnerability
ordered weighted average
resilience assessment
risk governance
social-ecological system
title Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic Zone
title_full Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic Zone
title_fullStr Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic Zone
title_full_unstemmed Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic Zone
title_short Ecological Risk Assessment of Watersheds Based on Adaptive Cycling Theory—A Case Study of Poyang Lake Ecological and Economic Zone
title_sort ecological risk assessment of watersheds based on adaptive cycling theory a case study of poyang lake ecological and economic zone
topic landscape vulnerability
ordered weighted average
resilience assessment
risk governance
social-ecological system
url https://www.mdpi.com/2073-445X/14/6/1265
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AT jiaxuanwang ecologicalriskassessmentofwatershedsbasedonadaptivecyclingtheoryacasestudyofpoyanglakeecologicalandeconomiczone
AT xinyisu ecologicalriskassessmentofwatershedsbasedonadaptivecyclingtheoryacasestudyofpoyanglakeecologicalandeconomiczone
AT kailizhang ecologicalriskassessmentofwatershedsbasedonadaptivecyclingtheoryacasestudyofpoyanglakeecologicalandeconomiczone