Landscape fragmentation associated with the Qingzang Highway and its influencing factors—A comparison study on road sections and buffers

Miao, Yi; Dai, Teqi; Yang, Xingdou; Song, Jinping

doi:10.1016/j.geosus.2021.03.001

Cited by 14 publications

(20 citation statements)

References 33 publications

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“…Other bandwidths were restricted to between 43 and 285, reflecting low, medium, and high levels of heterogeneity in the relationships, suggesting a high level of spatial heterogeneity in the relationships between IFI and ELE, SLO, and GPC. Compared to previous studies [14][15][16][17][18], MGWR can detect the spatial scale of action of different influences well through the variation in bandwidth.…”

Section: Discussionmentioning

confidence: 75%

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Multi-Scale Geographically Weighted Regression Modeling of Urban and Rural Construction Land Fragmentation–A Case Study of the Yangtze River Delta Region

Geng

Ming

et al. 2022

IEEE Access

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Landscape fragmentation, which can be natural or man-made, leads to decreasing species diversity and environmental degradation. The analysis of landscape fragmentation helps people understand the relationship between land and ecosystems in order to achieve sustainable development. Using the data from 306 counties in the Yangtze River Delta region, we calculated the landscape pattern index and constructed an evaluation index for urban and rural construction land fragmentation. We used a multi-scale geographically weighted regression model to analyze the determinants of land fragmentation and their spatial heterogeneity. We found that land fragmentation has significant spatial autocorrelation. The spatial distribution of the fragmentation is "ladder-like" and higher in the southwest and lower in the northeast. The determinants' spatial scales from largest to smallest are average yearly precipitation, population (PS), temperature (TEM), gross domestic product (GDP) per capita (GPC), GDP per unit area (GPUA), proportion of secondary production (PSP), slope (SLO), and elevation (ELE). The mean contributions of the regression coefficient from highest to lowest were PER, ELE, TEM, location, GPC, SLO, GPUA, PSP, and PS. The evaluation index could help policymakers make urbanization plans and implement effective urban and rural spatial structures.INDEX TERMS multi-scale geographically weighted regression, urban and rural construction land, fragmentation evaluation

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Section: Discussionmentioning

confidence: 75%

“…Miao et al used a geo-detector approach to study changes in landscape fragmentation related to road buffers and road sections. That approach may satisfactorily explain the spatial and temporal characteristics of landscape fragmentation along the Qinghai-Tibet Highway [18].…”

Section: Introductionmentioning

confidence: 97%

Multi-Scale Geographically Weighted Regression Modeling of Urban and Rural Construction Land Fragmentation–A Case Study of the Yangtze River Delta Region

Geng

Ming

et al. 2022

IEEE Access

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“…Finally, multiple regression analysis was utilized to analyze the influence factors of ethnic proportion and other socioeconomic indicators on the improvement of accessibility in the regression analysis (Miao et al., 2021). The variables involved in calculation are shown in Table 3.…”

Section: Methodsmentioning

confidence: 99%

“…To reveal the relationship between ethnic composition and accessibility, increment of territorial and potential accessibility were considered as dependent variables, while the proportion of different ethnic groups was taken as the core independent variable. Furthermore, according to previous research and the features of the study area, seven control variables were considered based on the close relationship between transport and socioeconomic status (Jiao et al., 2016; Jin & Chen, 2019; Shao et al., 2017; Wang et al., 2018), regional features (Miao et al., 2021), boundary effect and spillover effect (Jin et al., 2010; Stepniak & Rosik, 2013).…”

Section: Methodsmentioning

confidence: 99%

Assessing the effects of the large‐scale road construction on the ethnic disparities of accessibility in Tibet from 2010 to 2020

2023

Self Cite

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Tibet is the main consist of the Tibetan Plateau and also inhabited by minorities in China. How to promote its road accessibility and narrow the gap between different ethnic groups should draw more attention. This study analyzes both territorial accessibility (At) and potential accessibility (Ap) in Tibet from 2010 to 2020, as well as the disparities within and between main ethnic groups, exploring whether ethnic minorities undertook the accessibility disparity or loss. The findings are as follows: (1) At and Ap are characterized by a center‐periphery structure with a remarkably improvement and spatial difference from 2010 to 2020. The disparity between counties tends to widen slightly, whereas the increment of At shows the opposite feature. (2) The Hui and Han ethnic groups enjoy better accessibility than Tibetans, and the other ethnic minorities have insufficient accessibility, though with prominent improvement. The disparity in At within ethnic groups is smaller but tends to widen; by contrast, that of Ap is larger but tends to narrow. The Hui ethnic group enjoys relative equal accessibility, which tends to be more so, while Tibetans face unequal accessibility with no obvious improvement. (3) The proportion of Tibetans is negatively correlated with the improved accessibility, but those of the other ethnic minorities are positively correlated with the increment of At, indicating that the accessibility improvement in Tibet tilts to the ethnic minorities in remote areas. The overall spatial disparities in accessibility in Tibet tend to widen, but this does not totally apply to those between and within ethnic groups. Nonetheless, the construction of transport infrastructure alone may not be able to achieve equality. Above results may provide reference for related research and policy making for remote and minority areas in China and other similar regions.

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“…The region is characterized by poorly developed infrastructure and the slow development of production factors. The alpine pastoral region, which is ecologically vulnerable, is dominated by a harsh mountainous geographical environment (Miao et al, 2021). The fragile ecology seriously restricts the development of animal husbandry and economic activities, and causes long‐term poverty (Che et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Ecological and social poverty traps: Complex interactions moving toward sustainable development

Yang

Sun

et al. 2022

Sustainable Development

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Different types of poverty traps can reinforce each other, and consequently, multiple traps pose challenges for poverty alleviation, especially in rural areas. There remains a lack of understanding of social and ecological poverty traps and their relationship with one another. We considered the Selinco area in the Tibetan highlands of China and investigated social and ecological poverty, for an understanding of the poverty trap through the land-human relationship lens. We found that ecological and social poverty differ between various townships due to their poor ecological and social environs. We affirmed reinforcing feedback between ecological and social poverty, and that the relative importance of social and ecological poverty differs at various thresholds. These results advance our understanding of different poverty traps and their feedback process. The findings inform the policy-making process when addressing the land-human relationship to improve ecosystem stability and promote social equity to foster sustainable development.

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Landscape fragmentation associated with the Qingzang Highway and its influencing factors—A comparison study on road sections and buffers

Cited by 14 publications

References 33 publications

Multi-Scale Geographically Weighted Regression Modeling of Urban and Rural Construction Land Fragmentation–A Case Study of the Yangtze River Delta Region

Multi-Scale Geographically Weighted Regression Modeling of Urban and Rural Construction Land Fragmentation–A Case Study of the Yangtze River Delta Region

Assessing the effects of the large‐scale road construction on the ethnic disparities of accessibility in Tibet from 2010 to 2020

Ecological and social poverty traps: Complex interactions moving toward sustainable development

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