A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis region
Study region: Qira oasis, a typical catchment alluvial fan composed by agriculture and natural shrubs at the south margin of Taklimakan Desert, China Study focus: Water management modeling involves causal interaction effects of various water-related ecosystem services (ESs) under multiple-criteria w...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-12-01
|
| Series: | Journal of Hydrology: Regional Studies |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581822002397 |
| _version_ | 1811226284020203520 |
|---|---|
| author | Jie Xue Jiaqiang Lei Jingjing Chang Fanjiang Zeng Zhiwei Zhang Huaiwei Sun |
| author_facet | Jie Xue Jiaqiang Lei Jingjing Chang Fanjiang Zeng Zhiwei Zhang Huaiwei Sun |
| author_sort | Jie Xue |
| collection | DOAJ |
| description | Study region: Qira oasis, a typical catchment alluvial fan composed by agriculture and natural shrubs at the south margin of Taklimakan Desert, China Study focus: Water management modeling involves causal interaction effects of various water-related ecosystem services (ESs) under multiple-criteria water management alternatives, measuring expected benefits of water-related ESs. Many multi-criteria decision tools have been developed to mitigate some of major challenges of ESs tradeoffs. However, few formal ES trade-off frameworks have focused on the multiple-criteria alternatives assessment and indifference point identifications of water-related ES. This paper proposes a causal structure-based multiple-criteria decision framework to model water-related ESs, and to detect the points where the decision makers would be indifferent between two alternatives and to compare with the optimum recommendation value using Bayesian networks (BNs) with analytic hierarchy process (AHP). New hydrological insights for the region: The study confirms that the proposed causal structure-based multiple-criteria decision framework is a promising approach to modeling possible climate, irrigation, and water policy scenarios and to examining influences of those scenarios on water-related ESs. The framework can be used to effectively recommend optimum water management alternatives and to identify the indifference points by combining BNs into AHP under stakeholder participation. The framework also provides a qualitative and quantitative assessment to reduce the conflicts and uncertainties of multiple-criteria weights in diagnosing water-related ES trade-offs, owing to different stakeholder preferences. |
| first_indexed | 2024-04-12T09:21:33Z |
| format | Article |
| id | doaj.art-7101bdd03aee4bba80f8b369278f6d1e |
| institution | Directory Open Access Journal |
| issn | 2214-5818 |
| language | English |
| last_indexed | 2024-04-12T09:21:33Z |
| publishDate | 2022-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj.art-7101bdd03aee4bba80f8b369278f6d1e2022-12-22T03:38:36ZengElsevierJournal of Hydrology: Regional Studies2214-58182022-12-0144101226A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis regionJie Xue0Jiaqiang Lei1Jingjing Chang2Fanjiang Zeng3Zhiwei Zhang4Huaiwei Sun5State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele 848300, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, China; Corresponding author at: State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China.State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele 848300, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of the Ecology and Environment Sciences, Xinjiang University, Urumqi 830017, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China; Cele National Station of Observation and Research for Desert-Grassland Ecosystems, Cele 848300, Xinjiang, China; University of Chinese Academy of Sciences, Beijing 100049, ChinaCollege of Resources and Environmental Sciences, Tibet Agriculture & Animal Husbandry University, Nyingchi 860000, ChinaSchool of hydropower and information engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China; Corresponding author.Study region: Qira oasis, a typical catchment alluvial fan composed by agriculture and natural shrubs at the south margin of Taklimakan Desert, China Study focus: Water management modeling involves causal interaction effects of various water-related ecosystem services (ESs) under multiple-criteria water management alternatives, measuring expected benefits of water-related ESs. Many multi-criteria decision tools have been developed to mitigate some of major challenges of ESs tradeoffs. However, few formal ES trade-off frameworks have focused on the multiple-criteria alternatives assessment and indifference point identifications of water-related ES. This paper proposes a causal structure-based multiple-criteria decision framework to model water-related ESs, and to detect the points where the decision makers would be indifferent between two alternatives and to compare with the optimum recommendation value using Bayesian networks (BNs) with analytic hierarchy process (AHP). New hydrological insights for the region: The study confirms that the proposed causal structure-based multiple-criteria decision framework is a promising approach to modeling possible climate, irrigation, and water policy scenarios and to examining influences of those scenarios on water-related ESs. The framework can be used to effectively recommend optimum water management alternatives and to identify the indifference points by combining BNs into AHP under stakeholder participation. The framework also provides a qualitative and quantitative assessment to reduce the conflicts and uncertainties of multiple-criteria weights in diagnosing water-related ES trade-offs, owing to different stakeholder preferences.http://www.sciencedirect.com/science/article/pii/S2214581822002397Water-related ESsMultiple-criteria decision-makingBayesian networksAnalytical hierarchy processTransdisciplinary research |
| spellingShingle | Jie Xue Jiaqiang Lei Jingjing Chang Fanjiang Zeng Zhiwei Zhang Huaiwei Sun A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis region Journal of Hydrology: Regional Studies Water-related ESs Multiple-criteria decision-making Bayesian networks Analytical hierarchy process Transdisciplinary research |
| title | A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis region |
| title_full | A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis region |
| title_fullStr | A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis region |
| title_full_unstemmed | A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis region |
| title_short | A causal structure-based multiple-criteria decision framework for evaluating the water-related ecosystem service tradeoffs in a desert oasis region |
| title_sort | causal structure based multiple criteria decision framework for evaluating the water related ecosystem service tradeoffs in a desert oasis region |
| topic | Water-related ESs Multiple-criteria decision-making Bayesian networks Analytical hierarchy process Transdisciplinary research |
| url | http://www.sciencedirect.com/science/article/pii/S2214581822002397 |
| work_keys_str_mv | AT jiexue acausalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT jiaqianglei acausalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT jingjingchang acausalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT fanjiangzeng acausalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT zhiweizhang acausalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT huaiweisun acausalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT jiexue causalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT jiaqianglei causalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT jingjingchang causalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT fanjiangzeng causalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT zhiweizhang causalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion AT huaiweisun causalstructurebasedmultiplecriteriadecisionframeworkforevaluatingthewaterrelatedecosystemservicetradeoffsinadesertoasisregion |