Ecological risk assessment of cities on the Tibetan Plateau based on land use/land cover changes – Case study of Delingha City

Jin, Xin; Jin, Yanxiang; Mao, Xufeng

doi:10.1016/j.ecolind.2018.12.050

Cited by 189 publications

(126 citation statements)

References 17 publications

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“…The comprehensive ecological risk values of different ERA units were calculated individually to obtain the ecological risk level for the center point of the unit, which was the sample for the spatial interpolation analysis within the ERA [52]. An ordinary Kriging interpolation in the geostatistical module of ArcGIS10.2 was used to obtain the spatial distribution for the landscape ecological risk of the Zoige Plateau [24,53]. Combined with the actual condition and the ERI values of the area in the four stages as well as the classification method of Lv et al and Zhang et al, the ERI was classified into five ecological risk levels [23,27], namely, the lowest-level risk (ERI ≤ 0.050), lower-level risk (0.050 < ERI ≤ 0.060), moderate-level risk (0.060 < ERI ≤ 0.070), higher-level risk (0.070 < ERI ≤ 0.085) and highest-level risk (ERI > 0.085).…”

Section: Construction Of the Land Use/cover Era Modelmentioning

confidence: 99%

“…This coarse-scale approach leads to relatively rough evaluation results and fails to reflect the precise areas of risk occurrence in a large region. With the broad application of the theory and methods of landscape ecology, the technique of ERA based on landscape patterns has become a focus in regional ecosystem management [24]. The landscape ERA method can characterize the impact of human activities or natural change on the landscape composition, structure, function and process of all LULC types.…”

Section: Introductionmentioning

confidence: 99%

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Ecological Risk Assessment and Impact Factor Analysis of Alpine Wetland Ecosystem Based on LUCC and Boosted Regression Tree on the Zoige Plateau, China

Hou

Gao

et al. 2020

Remote Sensing

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The Zoige Plateau is typical of alpine wetland ecosystems worldwide, which play a key role in regulating global climate and ecological balance. Due to the influence of global climate change and intense human activities, the stability and sustainability of the ecosystems associated with the alpine marsh wetlands are facing enormous threats. It is important to establish a precise risk assessment method to evaluate the risks to alpine wetlands ecosystems, and then to understand the influencing factors of ecological risk. However, the multi-index evaluation method of ecological risk in the Zoige region is overly focused on marsh wetlands, and the smallest units of assessment are relatively large. Although recently developed landscape ecological risk assessment (ERA) methods can address the above limitations, the final directionality of the evaluation results is not clear. In this work, we used the landscape ERA method based on land use and land cover changes (LUCC) to evaluate the ecological risks to an alpine wetland ecosystem from a spatial pixel scale (5 km × 5 km). Furthermore, the boosted regression tree (BRT) model was adopted to quantitatively analyze the impact factors of ecological risk. The results show the following: (1) From 1990 to 2016, the land use and land cover (LULC) types in the study area changed markedly. In particular, the deep marshes and aeolian sediments, and whereas construction land areas changed dramatically, the alpine grassland changed relatively slowly. (2) The ecological risk in the study area increased and was dominated by regions with higher and moderate risk levels. Meanwhile, these areas showed notable spatio-temporal changes, significant spatial correlation, and a high degree of spatial aggregation. (3) The topographic distribution, climate changes and human activities influenced the stability of the study area. Elevation (23.4%) was the most important factor for ecological risk, followed by temperature (16.2%). Precipitation and GDP were also seen to be adverse factors affecting ecological risk, at levels of 13.0% and 12.1%, respectively. The aim of this study was to provide more precise and specific support for defining conservation objectives, and ecological management in alpine wetland ecosystems.

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Section: Construction Of the Land Use/cover Era Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Ecological Risk Assessment and Impact Factor Analysis of Alpine Wetland Ecosystem Based on LUCC and Boosted Regression Tree on the Zoige Plateau, China

Hou

Gao

et al. 2020

Remote Sensing

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“…From the perspective of landscape, a vulnerability model was constructed that followed the susceptibility to the exposure sensitivity and stressor adaptive capacity of the framework. Vulnerability of risk can be measured as follows [46][47][48][49]:…”

Section: ) Ecological Vulnerability In Risk Assessmentmentioning

confidence: 99%

Ecological risk assessment of geohazards in Natural World Heritage Sites: an empirical analysis of Bogda, Tianshan

et al. 2019

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Ecological risk assessment plays an important role in avoiding disasters and reducing losses. Natural world heritage site is the most precious natural assets on earth, yet few studies have assessed ecological risks from the perspective of world heritage conservation and management. A methodology for considering ecological threats and vulnerabilities and focusing on heritage value was introduced and discussed for the Bogda component of the Xinjiang Tianshan Natural World Heritage Site. Three important results are presented. (1) Criteria layers and ecological risk showed obvious spatial heterogeneity. Extremely high-risk and high-risk areas, accounting for 13.60% and 32.56%, respectively, were mainly gathered at Tianchi Lake and Bogda Glacier, whereas the extremely low-risk and low-risk areas, covering 1.33% and 17.51% of the site,were mainly distributed to the north and scattered around in the southwest montane region. (2) The level of risk was positively correlated with the type of risk, and as the level of risk increases, the types of risk increase. Only two risk types were observed in the extremely low-risk areas, whereas six risk types were observed in the high-risk areas and eight risk types were observed in the extremely high-risk areas. (3) From the perspective of risk probability and ecological damage, four risk management categories were proposed, and correlative strategies were proposed to reduce the possibility of ecological risk and to sustain or enhance heritage value.

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“…In recent years, the ecosystem is undergoing increasing pressures and degeneration owing to climate change, urban sprawl, and human activities [1][2][3][4]. The environmental problems following those pressures, such as global warming [5], soil erosion [6], desertification [7], environment pollution [8], and loss of biodiversity [9], have changed the ecosystem structure and process, decreased the ecosystem service value, and posed great threats to region sustainable development.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Differentiation and the Factors of Ecological Vulnerability in the Toutun River Basin Based on Remote Sensing Data

Liu

Shi

2019

Sustainability

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Ecological vulnerability assessment increases the knowledge of ecological status and contributes to formulating local plans of sustainable development. A methodology based on remote sensing data and spatial principal component analysis was introduced to discuss ecological vulnerability in the Toutun River Basin (TRB). Exploratory spatial data analysis and a geo-detector were employed to evaluate the spatial and temporal distribution characteristics of ecological vulnerability and detect the driving factors. Four results were presented: (1) During 2003 and 2017, the average values of humidity, greenness, and heat in TRB increased by 49.71%, 11.63%, and 6.51% respectively, and the average values of dryness decreased by 165.24%. However, the extreme differences in greenness, dryness, and heat tended to be obvious. (2) The study area was mainly dominated by a high and extreme vulnerability grade, and the ecological vulnerability grades showed the distribution pattern that the northern desert area was more vulnerable than the central artificial oasis, and the central artificial oasis was more vulnerable than the southern mountainous area. (3) Ecological vulnerability in TRB showed significant spatial autocorrelation characteristics, and the trend was enhanced. The spatial distribution of hot/cold spots presented the characteristics of “hot spot—cold spot—secondary hot spot—cold spot” from north to south. (4) The explanatory power of each factor of ecological vulnerability was temperature (0.5955) > land use (0.5701) > precipitation (0.5289) > elevation (0.4879) > slope (0.3660) > administrative division (0.1541). The interactions of any two factors showed a non-linear strengthening effect, among which, land use type ∩ elevation (0.7899), land use type ∩ precipitation (0.7867), and land use type ∩ temperature (0.7791) were the significant interaction for ecological vulnerability. Overall, remote sensing data contribute to realizing a quick and objective evaluation of ecological vulnerability and provide valuable information for decision making concerning ecology management and region development.

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Ecological risk assessment of cities on the Tibetan Plateau based on land use/land cover changes – Case study of Delingha City

Cited by 189 publications

References 17 publications

Ecological Risk Assessment and Impact Factor Analysis of Alpine Wetland Ecosystem Based on LUCC and Boosted Regression Tree on the Zoige Plateau, China

Ecological Risk Assessment and Impact Factor Analysis of Alpine Wetland Ecosystem Based on LUCC and Boosted Regression Tree on the Zoige Plateau, China

Ecological risk assessment of geohazards in Natural World Heritage Sites: an empirical analysis of Bogda, Tianshan

Spatiotemporal Differentiation and the Factors of Ecological Vulnerability in the Toutun River Basin Based on Remote Sensing Data

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