Spatial differentiation of ecological security and differentiated management of ecological conservation in the Pearl River Delta, China

Mengmeng, Hu; Li, Zhaotian; Yuan, Meng-Jiao; Fan, Chao; Xia, Beicheng

doi:10.1016/j.ecolind.2019.04.081

Cited by 55 publications

(40 citation statements)

References 40 publications

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“…Spatial autocorrelation analysis is a commonly used method of spatial statistics and can quantitatively describe the spatial distribution characteristics of statistics [67]. Xue et al (2019) and Hu et al (2018) revealed the distribution patterns of regional landscape ecological risk and ecological security, respectively, by using spatial autocorrelation analysis [15,68]. In this study, the global Moran's I index and local indicators of spatial association (LISA) were employed to analyse the spatial statistics of the ERI.…”

Section: Spatial Autocorrelation Analysesmentioning

confidence: 99%

“…It is possible that soil moisture and humidity are sufficiently high in the northern part of the ADD [57] that the increase in surface temperature is not the main impacting factor in this region, which might explain the negative correlations. The NDVI is a good indicator of vegetation, which in turn reflects the state of the ecological environment [68]. The degradation of vegetation indicates the degradation of ecosystem function.…”

Section: Effects Of Biogeographic Factors On the Erimentioning

confidence: 99%

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Exploring Variability in Landscape Ecological Risk and Quantifying Its Driving Factors in the Amu Darya Delta

Bao

et al. 2019

IJERPH

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Examining the drivers of landscape ecological risk can provide scientific information for planning and landscape optimization. The landscapes of the Amu Darya Delta (ADD) have recently undergone great changes, leading to increases in landscape ecological risks. However, the relationships between landscape ecological risk and its driving factors are poorly understood. In this study, the ADD was selected to construct landscape ecological risk index (ERI) values for 2000 and 2015. Based on a geographically weighted regression (GWR) model, the relationship between each of the normalized difference vegetation index (NDVI), land surface temperature (LST), digital elevation model (DEM), crop yield, population density (POP), and road density and the spatiotemporal variation in ERI were explored. The results showed that the ERI decreased from the periphery of the ADD to the centre and that high-risk areas were distributed in the ADD’s downstream region, with the total area of high-risk areas increasing by 86.55% from 2000 to 2015. The ERI was spatially correlated with Moran’s I in 2000 and 2015, with correlation of 0.67 and 0.72, respectively. The GWR model indicated that in most ADD areas, the NDVI had a negative impact on the ERI, whereas LST and DEM had positive impacts on the ERI. Crop yield, road density and POP were positively correlated with the ERI in the central region of the ADD, at road nodes and in densely populated urban areas, respectively. Based on the findings of this study, we suggest that the ecological constraints of the aforementioned factors should be considered in the process of delta development and protection.

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Section: Spatial Autocorrelation Analysesmentioning

confidence: 99%

Section: Effects Of Biogeographic Factors On the Erimentioning

confidence: 99%

Exploring Variability in Landscape Ecological Risk and Quantifying Its Driving Factors in the Amu Darya Delta

Bao

et al. 2019

IJERPH

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“…Sustainable development entails a stable eco-environment and vibrant ecosystem service [ 4 , 7 ]. As such, to achieve the trade-off between economic development and eco-environment protection, the concept of ecological security was proposed in the early 1980s [ 8 , 9 ]. Since then, from national governments to worldwide organizations, plenty of strategies to maintain ecological security have been enacted and implemented [ 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

“…Pirages [ 14 ] argued that ecological security is the balance between human need and environmental affordability for sustainable development. Synthesizing the definitions of ecological security in previous scholarship, the core element of this concept is in relation to coordinating the relationship between the natural ecosystem and economic society [ 8 , 13 , 14 , 15 , 16 , 17 ]. On account of the importance of ecological security, a growing body of literature on identifying ecological security patterns (ESPs) has emerged.…”

Section: Introductionmentioning

confidence: 99%

“…On account of the importance of ecological security, a growing body of literature on identifying ecological security patterns (ESPs) has emerged. To date, press-state-response (PSR) theory and circuit theory are the two conceptual frameworks most applied in extant literature [ 2 , 3 , 4 , 5 , 8 , 12 , 18 , 19 ]. Grounded in RSP theory, researchers first identify the pressure indicators allied with pressure-bearing indicators, then apply mathematical modeling and landscape ecology methods such as the artificial neural network model, entropy matter–element model, and grey model to calculate the weight of each indicator’s influence and integrate the weighted indicators to identify the ESP [ 8 , 18 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

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Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Liu

Wei

Jia

2020

IJERPH

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In recent decades, the ecological security pattern (ESP) has drawn increasing scientific attention against the backdrop of rapid urbanization and worsening ecological environment. Despite numerous achievements in identifying and constructing the ecological security pattern, limited attention has been paid on applying ESP to predict urban growth. To bridge the research gap, this paper took Quanzhou, China as a study case and incorporated the identified ESP into an urban growth simulation with three distinct scenarios. Following the “ecological source–ecological corridor–ecological security pattern” paradigm, the ESP identification was carried out from four single aspects (i.e., water, geology, biodiversity, and recreation) into three levels (i.e., basic ESP, intermediate ESP, and optimal ESP). Grounded in an equally weighted superposition algorithm, the four single ESPs were combined as an integrated ESP (IESP) with three levels. Taking IESP as an exclusion element, urban growth simulation in 2030 was completed with thee SLEUTH model. Drawing on the three levels of IESP, our urban growth simulation contained three scenarios. In terms of urban sprawl distribution coupled with urban growth rate, an optimal urban growth scenario is recommended in this paper to balance both urban development and eco-environment protection. We argue that our ESP-based urban growth simulation results shed new light on predicting urban sprawl and have the potential to inform planners and policymakers to contribute to more environmentally-friendly urban development.

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Projection of landscape ecological risk and exploration of terrain effects in the Qilian Mountains, China

et al. 2023

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The development of a reasonable landscape ecological risk (LER) assessment system is the key means to establish an eco‐safety early warning mechanism, promote ecological protection, and achieve sustainable management of regional ecosystems. Based on the Cellular Automaton‐Markov (CA‐Markov) model, we predicted the land use/cover changes (LUCC) in 2026 and 2034 in the typical arid and semiarid mountainous area of the Qilian Mountains. We constructed an LER model to analyze the spatial–temporal changes in LER, quantified the driving mechanism, and synthesized the constraining effect of terrain features. The results showed that the study area was dominated by ecologically stable areas in 1980–2000 and 2010–2018. Ecologically improved and deteriorated areas in the central and northwest expanded in 2000–2010 and 2018–2036, which was attributed to ecological restoration policies (returning farmland to forest and grassland, closing mountains to forest and grassland, etc.) and economic development (livestock and mineral development, etc.). Due to the frequent interference of human activities in flat and complex terrain areas, the degree of landscape fragmentation, separation, and vulnerability is enhanced, and the ecological conditions of bare land and snow cover are relatively fragile, resulting in high ecological risk. Therefore, we could focus on zoning management and rational land use planning. This study provides a new framework for controlling LER in the Qilian Mountains, and will provide a scientific reference for the formulation of risk mitigation strategies in other arid and semiarid mountains worldwide.

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Spatial differentiation of ecological security and differentiated management of ecological conservation in the Pearl River Delta, China

Cited by 55 publications

References 40 publications

Exploring Variability in Landscape Ecological Risk and Quantifying Its Driving Factors in the Amu Darya Delta

Exploring Variability in Landscape Ecological Risk and Quantifying Its Driving Factors in the Amu Darya Delta

Simulating Urban Growth Scenarios Based on Ecological Security Pattern: A Case Study in Quanzhou, China

Projection of landscape ecological risk and exploration of terrain effects in the Qilian Mountains, China

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