Ecosystem health assessment based on AHP-DPSR model and impacts of climate change and human disturbances: A case study of Liaohe River Basin in Jilin Province, China

Ren, Yating; Zhang, Feng; Li, Jiapeng; Zhao, Chunli; Jiang, Qiushi; Cheng, Zhiqiang

doi:10.1016/j.ecolind.2022.109171

Cited by 29 publications

(19 citation statements)

References 48 publications

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“…Findings from the study of Dang et al (2023) are not so different which show that pressure for carrying capacity of water resources significantly influence the state to take necessary actions. Further, results show a similar pattern with the study of Ren et al (2022) which describe that change in ecosystem pressure significantly influence the eco-system state. Results for H3 are mixed which show that state has a prime responsibility in influencing the response of citizens and enterprises in east and west region of China, however, in central region the results are not significant for H3.…”

Section: Discussionsupporting

confidence: 87%

“…Results for the first hypothesis are mixed in different contexts, as, it was accepted in the central and east region of China, however, drivers for high quality development in manufacturing industry have least role in influencing pressure in the west region. The results for the first hypothesis are similar to the Dang et al (2023) which shows that changes in the driving forces causes a significant change in pressure in the carrying capacity of water resources in Longnan city of China; However, contradict with the results of Ren et al (2022) which describe that major driving forces of ecosystem health including natural and economic factors can increase or decrease the pressure on ecosystem health. Findings in the study of J.-Y.…”

Section: Discussionsupporting

confidence: 68%

“…By investigating this relationship, scientists, policymakers, and stakeholders can find which driving pressures are contributing most significantly to negative changes in the state of the system. This information can inform decisions on mitigation strategies, conservation efforts, and sustainable resource management practices to maintain a desired state and minimize negative effects on the environment (Ren et al, 2022). Based on above mentioned argument, following hypothesis is proposed: H2-There is a positive effect of ''pressure'' on ''state.''…”

Section: Research Hypothesis and Frameworkmentioning

confidence: 99%

“…For example, J.-Y. Wei et al (2019) developed an integrated framework and an index system by using DPSR and ANP for evaluating the enterprises energy efficiency; Ren et al (2022) proposed a hybrid framework of AHP and DPSR for econsystem health assessment in China. Li et al (2022) used an integrated methodology of DPSR and entropy weight to assess the human-water harmony.…”

Section: Introductionmentioning

confidence: 99%

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A DPSR and SEM Based Framework to Evaluate High-Quality Development in Chinese Manufacturing Industry

Lyu,

2023

Sage Open

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China’s manufacturing industry has emerged as a major contributor to both the nation’s economic growth and global trade. Achieving high-quality development in this sector is not only crucial for China’s sustainable progress but also holds significant implications for the global economy. Considering the importance of Chinese manufacturing industry, this paper establishes a framework for exploring the mechanism of manufacture industry’s high-quality development in China’s three economic regions based on the Driver-Pressure-State-Response (DPSR) model and Structural Equation Modeling (SEM). SEM is established for analyzing the multiple paths of manufacture industry’s high-quality development in the eastern, middle and western economic region of China. The findings reveal distinct patterns in each region. In the eastern region, a unidirectional path of “Driver-Pressure-State-Response” is confirmed, with a particular emphasis on quality improvement and efficiency increase. The middle region exhibits a leapfrog path characterized by “Driver-Pressure-State” and “Pressure-Response,” where quality improvement and dynamic conversion play critical roles. Conversely, the western region demonstrates an interrupt path of “Pressure-State-Response,” highlighting the significance of structural rationalization and dynamic conversion. Based on these results, sustainable solutions and suggestions for promoting high-quality development in the manufacturing industry are proposed, providing valuable targeted insights for the transformation and advancement of China's manufacturing sector. This study makes a novel contribution by developing a DPSR-SEM model and expands literature and knowledge in high-quality development of manufacturing industry. Practically, this study can guide decision-makers, managers, and stakeholders in understanding the interactions between driving forces, pressures, states, and responses in the context of manufacturing industry.

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Section: Discussionsupporting

confidence: 87%

Section: Discussionsupporting

confidence: 68%

Section: Research Hypothesis and Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A DPSR and SEM Based Framework to Evaluate High-Quality Development in Chinese Manufacturing Industry

Lyu,

2023

Sage Open

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“…Different assessment methods have been developed and modified for the scientific evaluation of the ecosystem health index (EHI) in recent decades. These methods include the vigor-organization-resilience (VOR) framework [4,23], the pressure state response model [24][25][26], the hierarchical analysis method [27][28][29], principal component analysis [30], and the fuzzy evaluation method [31,32]. Most relevant studies showed that the VOR framework, proposed by Rapport in 1989 [2], has been extensively used.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Variation in Ecosystem Health and Its Driving Factors in Guizhou Province

Yang

Zhou

2023

Land

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Healthy ecosystems are crucial for sustainable regional development. The lack of spatial distribution patterns and driving factors of ecosystem health limited ecosystem management and urban planning. Understanding the spatiotemporal variation characteristics of ecosystem health and its driving factors can contribute to ecosystem management. Based on the “vigor–organization–resilience” (VOR) framework, this paper focuses on increasing ESs and forming an improved “vigor–organization–resilience–ecosystem services (VORS)” framework to evaluate the ecosystem health of Guizhou Province in 2010 and 2020. At the same time, we used the geographic detector model to investigate the driving factors of ecosystem health in the region. The results revealed the following: (1) The areas of forest land accounted for more than 52%. Simultaneously, farmland and forest land decreased, while construction land increased from 2010 to 2020. Construction land was mainly converted from forest land, grassland and farmland. (2) The level of ecosystem health in Guizhou Province spatially increased from northwest to southeast, with the central part exhibiting the lowest health level. The ecosystem health index (EHI) was mainly moderate, accounting for 78.32% and 83.80% in 2010 and 2020, respectively. (3) Among the 11 selected driving factors, the gross domestic product (GDP), general public budget revenue, annual average temperature, average annual precipitation, and night light index significantly affected ecosystem health. Our research refines ecosystem health research and the results will contribute to effective and precise decision-making in ecosystem management and the implementation of land use policies.

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Approaches for Modelling the Climate Change Impacts on Ecosystems

George

Joseph

2023

Ecosystem and Species Habitat Modeling for Conservation and Restoration

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Ecosystem health assessment based on AHP-DPSR model and impacts of climate change and human disturbances: A case study of Liaohe River Basin in Jilin Province, China

Cited by 29 publications

References 48 publications

A DPSR and SEM Based Framework to Evaluate High-Quality Development in Chinese Manufacturing Industry

A DPSR and SEM Based Framework to Evaluate High-Quality Development in Chinese Manufacturing Industry

Spatiotemporal Variation in Ecosystem Health and Its Driving Factors in Guizhou Province

Approaches for Modelling the Climate Change Impacts on Ecosystems

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