Spatial-temporal pattern evolution and driving force analysis of ecological environment vulnerability in Panzhihua City

Dai, Xiaoai; Gao, Yu; He, Xu-wei; Liu, Ting; Jiang, Bohan; Shao, Hongbo; Yao, Yuanzhi

doi:10.1007/s11356-020-11013-6

Cited by 50 publications

(21 citation statements)

References 9 publications

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“…From the supply perspective, natural factors are the main cause of the ES supply capacity, while LULCs are a vital link between humans and ESs (Qin and Fu 2019). The push-pull effect is mainly influenced by two aspects: ecological pressure and environmental vulnerability (Dai et al 2021). The urban sprawl, forest shrinkage, and decrease in habitat quality caused by human activities produce environmental pressure.…”

Section: Discussionmentioning

confidence: 99%

Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets

liu

Li²,

et al. 2022

Environ. Res. Commun.

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Ecosystem service mapping (ESM) studies are receiving increasing attention due to the imbalance between the supply of and demand for ecosystem services (ES). Global scale ESM is still scarce, but the high computing power of the Google Earth Engine (GEE) cloud platform significantly increases the efficiency. Based on global-scale land cover datasets and the GEE, an ES matrix model based-expert is constructed in this paper to map the ES supply, demand, and relative budgets. The net primary productivity (NPP), enhanced vegetation index (EVI), nighttime light (NTL), and world population (Pop) were acquired, and the NPP and EVI and the NTL and Pop datasets were used to revise the supply of and demand for ESs, respectively. We discovered that the ES supply capacity exhibits a double-peaked distribution with latitude, and the peaks are located at the equator and 50°N. The global ESs have a high spatial heterogeneity and the global supply of ESs is 2.405 times higher than the demand; however, the demand exhibits an increasing trend of about 3.36% per decade, and only southern Asia has more ES demand than supply. The imbalance between the ES supply and demand produced a push-pull effect, that is, it forced humans to move closer to the ES surplus regions (ESSRs) and farther away from the ES deficit regions (ESDRs), and the destruction of the ecological environment promoted this phenomenon. The global terrestrial area is divided into eight ES sub-regions, and targeted land management, urban planning, and environmental remediation policies are proposed.

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Section: Discussionmentioning

confidence: 99%

Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets

liu

Li²,

et al. 2022

Environ. Res. Commun.

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“…Moreover, the quality of the ecological environment is usually determined by the spatial processes of multiple influencing factors at different scales, and the scale analysis of the influencing factors is particularly important [25]. However, the previous theoretical methods and model applications often ignore the spatial scale of the influencing factors [51][52][53][54]. This, in turn, will cause the regression results to be unstable.…”

Section: Research Significancementioning

confidence: 99%

“…The eco-environmental quality index can more accurately depict the spatial evolution characteristics of the eco-environmental effect of regional land-use transition and has been widely applied since its introduction [43][44][45]. The main methods for studying the driving mechanism of eco-environmental quality include the geographically weighted regression (GWR) model [12,46], the partial least squares regression method [47], spatial principal component analysis [48][49][50] and the geographic detector [51][52][53][54]. However, the amount of related research is limited and uses relatively simple methods.…”

Section: Introductionmentioning

confidence: 99%

Study on Eco-Environmental Effects of Land-Use Transitions and Their Influencing Factors in the Central and Southern Liaoning Urban Agglomeration: A Production–Living–Ecological Perspective

Pang

Zhou

et al. 2022

Land

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From the perspective of the production–living–ecological space, this paper reclassifies the land-use categories in the central and southern Liaoning urban agglomeration in the years 1990, 2000, 2010 and 2018. It then quantitatively analyzes the spatiotemporal evolution characteristics of land-use transitions by adopting the land-use transfer matrix and other methods. This paper further uses the eco-environmental quality index and ecological contribution rate to explore the eco-environmental effects of the land-use transition. Finally, it identifies the influencing factors of the eco-environmental effect and the spatial differentiation law of the effect in the study area through the multi-scale geographically weighted regression (MGWR) model. The main conclusions reached are as follows: (1) During the study period, a slow increase was seen in the ecological land of the central and southern Liaoning urban agglomeration. A sharp decline occurred in the production land, and a rapid rise was found in the living land. (2) From 1990 to 2018, the eco-environmental quality index in the study region showed significant spatial differentiation, with the distribution characteristics being high in the east and low in the west. The areas have expanded and spread along the Shenyang-Dalian axis to form medium-low quality agglomerations. The encroachment of agricultural production land and urban and rural living land on forest ecological land is the main contributor to the deterioration of the eco-environmental quality during the study period. (3) Compared with the geographically weighted regression model and the ordinary least squares model, a remarkable advancement can be seen in the MGWR model, which is more suitable for research on the influencing factors of eco-environmental quality. In addition, different influencing factors have significant spatial differences in the degree and scale of impact.

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“…(3) Ecological vulnerability and ecological security of RBCs. The long-term mining of mines will pose tremendous pressure to the urban ecological security and ecological vulnerability degree of RBCs, which is the difficulty 100 in realizing urban and industrial transformation in RBCs (Chen et al, 2019;He et al, 101 2020; Dai et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

Conflict or coordination? Assessment of coordinated development between socioeconomic and ecological environment in resource-based cities: evidence from Sichuan province of China

Xiao

Huang

2021

Environ Sci Pollut Res

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The relationship between socioeconomic and ecological environment become a significant factor influencing the sustainable development of resource-based cities (RBCs), the transformation of RBCs is a key component of regional high-quality development. A comprehensive evaluation indicator system was constructed to research the coupling coordination level of RBCs in this paper, the dynamic DM model and the CCD model were adopted to measure the comprehensive level of the coupling coordination degree between socioeconomic and ecological environment of the 9 resource-based cities in Sichuan province. The results showed that the coupling coordination level was not ideal. Only two cities were located to the moderate coordination, and other cities were located to the primary coordination or tiny coordination. In addition, there was a significant different between SE and EE, and the comprehensive evaluation score of SE was lower than that of EE in eight RBCs, which accounting for 88.89%. Based on this, the policy suggestions for the sustainable development of different type of RBCs were provided. This study offers a model of China's experience that might be benefit for achieving sustainable development goals (SGDs) of other cities and countries.

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Spatial-temporal pattern evolution and driving force analysis of ecological environment vulnerability in Panzhihua City

Cited by 50 publications

References 9 publications

Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets

Global relative ecosystem service budget mapping using the Google Earth Engine and land cover datasets

Study on Eco-Environmental Effects of Land-Use Transitions and Their Influencing Factors in the Central and Southern Liaoning Urban Agglomeration: A Production–Living–Ecological Perspective

Conflict or coordination? Assessment of coordinated development between socioeconomic and ecological environment in resource-based cities: evidence from Sichuan province of China

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