Development of an adverse outcome pathways approach for land resource and environment management at the regional scale
At the regional scale, the complexity of ecological deterioration limits effective decision-making and preventive measures. In this study, an adverse outcome pathway approach was developed and applied to land resource management and environmental decision-making in Daye, a traditional mining city in...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23013523 |
| _version_ | 1797422637560889344 |
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| author | Kai Guo Xiaojin Liang Xinchang Zhang Renbo Luo Tianqi Qiu Zhenhao He Kexin Zhang |
| author_facet | Kai Guo Xiaojin Liang Xinchang Zhang Renbo Luo Tianqi Qiu Zhenhao He Kexin Zhang |
| author_sort | Kai Guo |
| collection | DOAJ |
| description | At the regional scale, the complexity of ecological deterioration limits effective decision-making and preventive measures. In this study, an adverse outcome pathway approach was developed and applied to land resource management and environmental decision-making in Daye, a traditional mining city in China. First, adverse outcome pathways for land degradation were hypothesized. Second, a weight of evidence approach was used based on the data strength and causal chain strength of each degradation pathway. Then, the technique for order preference by similarity to an ideal solution (TOPSIS) was used with entropy information and integrated with the geographic information system (GIS) to evaluate the credibility of each pathway. The most likely adverse outcome pathway and the spatial distribution for different sub-regions were obtained. The apparent spatial heterogeneity suggests that land degradation pathways are closely associated with economic production activities in each sub-region. This study is expected to facilitate the identification of key mechanisms underlying ecological degradation and to guide the management of land systems to ensure long-term functioning. |
| first_indexed | 2024-03-09T07:36:16Z |
| format | Article |
| id | doaj.art-6a5727b6278e4d5489aa69bb95d2855e |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-09T07:36:16Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-6a5727b6278e4d5489aa69bb95d2855e2023-12-03T05:39:59ZengElsevierEcological Indicators1470-160X2023-12-01157111210Development of an adverse outcome pathways approach for land resource and environment management at the regional scaleKai Guo0Xiaojin Liang1Xinchang Zhang2Renbo Luo3Tianqi Qiu4Zhenhao He5Kexin Zhang6School of geography and Remote Sensing, Guangzhou University, Guangzhou 510006, ChinaGuangzhou Urban Planning & Design Survey Research Institute Co., Ltd, Guangzhou 510060, China; Corresponding author.School of geography and Remote Sensing, Guangzhou University, Guangzhou 510006, ChinaSchool of geography and Remote Sensing, Guangzhou University, Guangzhou 510006, ChinaGuangzhou Urban Planning & Design Survey Research Institute Co., Ltd, Guangzhou 510060, ChinaSchool of geography and Remote Sensing, Guangzhou University, Guangzhou 510006, ChinaMap Institute of Guangdong Province, Guangzhou 510620, ChinaAt the regional scale, the complexity of ecological deterioration limits effective decision-making and preventive measures. In this study, an adverse outcome pathway approach was developed and applied to land resource management and environmental decision-making in Daye, a traditional mining city in China. First, adverse outcome pathways for land degradation were hypothesized. Second, a weight of evidence approach was used based on the data strength and causal chain strength of each degradation pathway. Then, the technique for order preference by similarity to an ideal solution (TOPSIS) was used with entropy information and integrated with the geographic information system (GIS) to evaluate the credibility of each pathway. The most likely adverse outcome pathway and the spatial distribution for different sub-regions were obtained. The apparent spatial heterogeneity suggests that land degradation pathways are closely associated with economic production activities in each sub-region. This study is expected to facilitate the identification of key mechanisms underlying ecological degradation and to guide the management of land systems to ensure long-term functioning.http://www.sciencedirect.com/science/article/pii/S1470160X23013523Adverse outcome pathwayRegional risk assessmentWeight of evidenceTOPSISLand resource and environmental managementDaye |
| spellingShingle | Kai Guo Xiaojin Liang Xinchang Zhang Renbo Luo Tianqi Qiu Zhenhao He Kexin Zhang Development of an adverse outcome pathways approach for land resource and environment management at the regional scale Ecological Indicators Adverse outcome pathway Regional risk assessment Weight of evidence TOPSIS Land resource and environmental management Daye |
| title | Development of an adverse outcome pathways approach for land resource and environment management at the regional scale |
| title_full | Development of an adverse outcome pathways approach for land resource and environment management at the regional scale |
| title_fullStr | Development of an adverse outcome pathways approach for land resource and environment management at the regional scale |
| title_full_unstemmed | Development of an adverse outcome pathways approach for land resource and environment management at the regional scale |
| title_short | Development of an adverse outcome pathways approach for land resource and environment management at the regional scale |
| title_sort | development of an adverse outcome pathways approach for land resource and environment management at the regional scale |
| topic | Adverse outcome pathway Regional risk assessment Weight of evidence TOPSIS Land resource and environmental management Daye |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23013523 |
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