Ecosystem health assessment based on analysis of a land use database

Yu, Guangming; Yu, Qiwu; Hu, Limei; Zhang, Shu; Fu, Tingting; Xia, Zhou; Xiao-li, HE; Liu, Yuan; Wang, Sa; Jia, Huanhuan

doi:10.1016/j.apgeog.2013.07.010

Cited by 78 publications

(33 citation statements)

References 53 publications

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“…Sandin and Sala (2012) discussed ecosystem succession, and looked at measuring marine ecosystem health with the application of successional theory. Nevertheless, in the recent years many EHA studies still have continued to use the most widely accepted classic framework of vigor-organization-resilience (Xue, Wang, & Niu, 2013;Yu et al, 2013), which is most widely accepted. It is therefore necessary to consider whether it is necessary to incorporate one or more new indicators in the traditional EHA framework when using EHA for various targets on different scales?…”

Section: Introductionmentioning

confidence: 99%

“…Su, Yang, and Chen (2009) adopted a set pair analysis to assess urban ecosystem health. Yu et al (2013) built a pressure-state-response framework using land use database. Furthermore, a large number of researchers have recently accepted the use of the energy analysis method within the REHA (Jing, Yuan, Guo, & Wang, 2010;Liu et al, 2009;Su, 2010;Su et al, 2011;Zeng, Zhao, & Yang, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Linking ecosystem services and landscape patterns to assess urban ecosystem health: A case study in Shenzhen City, China

Peng

Liu

et al. 2015

Landscape and Urban Planning

292

142

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Linking ecosystem services and landscape patterns to assess urban ecosystem health: A case study in Shenzhen City, China

Peng

Liu

et al. 2015

Landscape and Urban Planning

292

142

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“…Essentially, land offers various services, such as food provision, energy, habitat, accessibility, species diversity, and recreation, and hence occupies an irreplaceable position in sustaining urban development (Chambers, Simmons, & Wackernagel, 2014;Wackernagel et al, 2004). In this sense, researchers have combined land-use structure with its service and function to diagnose the urban ecosystem health through empirical models and investigations (Yu et al, 2013). In the context of rapid urbanization as well as widespread urban sprawl and urban shrinkage, there is growing concern about maintaining the land ecosystem health to realize a balanced urban ecosystem (Großmann, Bontje, Haase, & Mykhnenko, 2013;Wu, Ye, Qi, & Zhang, 2013).…”

Section: Introductionmentioning

confidence: 99%

An integrated approach for assessing the urban ecosystem health of megacities in China

Zeng

Deng

et al. 2016

Cities

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In 2014, China adjusted its "city categorization standard." The newly defined megalopolises and metropolises are under unprecedented pressure from various eco-environmental problems, making them suitable representatives for exploring the state of urban ecosystem health. In this study, we establish a two-layer indicator system to assess the urban ecosystem health and choose 33 indicators grouped into social, economic, transportation, facility, land, and management subsystems, with the aim of correlating human activities with the structure, vigor, resilience, and health of the urban ecosystem. We integrate subjective and objective methods to determine weights at different levels through the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the analytic hierarchy process, and information entropy. In particular, we develop a spatial TOPSIS technique by introducing a Euclidean-distance-based weight to rank the health of the cities' ecosystem in terms of the spatial effects among these cities. The results reveal that megalopolises such as Beijing, Shanghai, and Guangzhou have superior social and economic subsystems, whereas other megacities have advantages in transportation, facility, land, and management subsystems. From 2005 to 2010, the gaps among these cities in terms of urban ecosystem health significantly reduced regardless of the weight determination method. Not all indicators involved can help realize a better urban ecosystem. Nevertheless, they provide a reference point for making specific regulations to control human activity and improve eco-environmental management.

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“…A review of the literature finds a limited record of successful IWRM implementations. The main issues reported include difficulties in setting up integrated models and problems with inferring policy from the IWRM processes (Hazbavi & Sadeghi, 2017;Liu et al, 2008;Medema, McIntosh, & Jeffrey, 2008;Pires et al, 2017;Yu et al, 2013). Although examples exist of implemented policy support systems models that account for, link, and operationalize complex socioeconomic and physical processes (Van Delden, Luja, & Engelen, 2007), there is a gap in addressing the practical difficulties in the entire process of establishing and delivering comprehensive coupled human-water systems models and their implications for socioeconomic systems in support of practical projects.…”

Section: Past Implementations Of Iwrm Projectsmentioning

confidence: 99%

Sociohydrology modeling for complex urban environments in support of integrated land and water resource management practices

et al. 2018

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This paper argues that a systems' thinking and explicit modeling approach is needed to address noted weaknesses (in terms of practicality and usefulness) in integrated water resource management. A process of coupling complex regional land use, economy, and water system interactions in integrated modeling is demonstrated with proof‐of‐concept applications to two urban cases (Chicago and Stockholm). In this uniquely coupled systems model, urban land use scenarios are considered a complex urban system represented by dynamic systems models of land use, economics, and water with a focus on urban environments that include drivers and system feedbacks with implications focused on urban water systems. The integrated model results reveal that the physical availability of land for economic activities (forecasted via a bottom‐up land use change model) and their locations differ sharply from top‐down sectoral‐based economic forecasts. This shows that both human systems (economic and land use planning) and natural systems (land use limitations and associated water implications) need to be considered in order to accurately account for system(s) impacts. For example, flood zone regulations divert land use to other locations, whereas land cover changes can greatly affect the water infiltration characteristics of land surfaces and thereby alter hydrological outcomes. Our results indicate that modeling social and natural processes using a systems approach can provide a more comprehensive understanding of coupled causal mechanisms, impacts, and feedbacks in applications of integrated water resource management.

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Ecosystem health assessment based on analysis of a land use database

Cited by 78 publications

References 53 publications

Linking ecosystem services and landscape patterns to assess urban ecosystem health: A case study in Shenzhen City, China

Linking ecosystem services and landscape patterns to assess urban ecosystem health: A case study in Shenzhen City, China

An integrated approach for assessing the urban ecosystem health of megacities in China

Sociohydrology modeling for complex urban environments in support of integrated land and water resource management practices

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