Socio-ecological vulnerability and resilience of mountain communities residing in capital-constrained environments

Jha, Shashidhar Kumar; Negi, Ashish; Alatalo, Juha M.; Negi, Rajendra S.

doi:10.1007/s11027-021-09974-1

Cited by 19 publications

(15 citation statements)

References 59 publications

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“…Donoso et al [33] found that mountain landscape vulnerability suffers constant modifications due to the agricultural practices of dwellers and migrants. Jha et al [34] indicated that mountain vulnerability varied along elevation gradients due to variations in socioeconomic profiles, livelihood requirements, resource availability, accessibility, utilization patterns, and climate risks. Schneiderbauer et al [35] believed that mountain regions are vulnerable areas that are significantly exposed and susceptible to climate change.…”

Section: Introductionmentioning

confidence: 99%

Landscape Pattern Vulnerability of the Eastern Hengduan Mountains, China and Response to Elevation and Artificial Disturbance

Sun

Zhou

Zong

2022

Land

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The eastern Hengduan Mountains are located in the transition zone between the Qinghai-Tibet Plateau and the Sichuan Basin and are important for global biodiversity and water conservation in China. However, their landscape pattern vulnerability index (LVI) and its influencing factors have not been systematically studied. Therefore, the spatial distribution patterns, LVI, and the landscape artificial disturbance intensity (LHAI) of Ganzi Prefecture were analyzed using ArcGIS software based on landscape data and Digital Elevation Model (DEM) digital elevation data. Then, the LVI response to LHAI and elevation was discussed. The results showed that Ganzi Prefecture was dominated by low- and middle-LVI areas, together accounting for 56.45% of the total area. LVI values were highest in the northern regions, followed by the southern and eastern regions. Batang and Derong counties had the highest LVI values. Most areas in Ganzi Prefecture had very low- or low-LHAI values, accounting for 81.48% of the total area, whereas high-LHAI areas accounted for 2.32% of the total area. Both the LVI and LHAI of Ganzi Prefecture had clustered distributions. Spearman analysis indicated that when elevation exceeded 4500 m, it was the most important factor affecting LVI and LHAI. In the range of 4500–5400 m, the relationship between elevation and LVI shifted from a weak positive correlation to a negative correlation, whereas LHAI was positively correlated with elevation. In addition, LVI also responded significantly to LHAI. However, the relationship kept changing as elevation increased. Hence, the ecological vulnerability of high elevation areas above 4500 m deserves greater attention. In addition, pasture areas in the upstream reaches of the Yalong River in the northern region, the coastal area in the downstream reaches of the Jinsha River in the southern region, and the eastern mining area, should be prioritized for protection and restoration. This research provides a basis for appropriate environmental planning mechanisms and policy protections at the landscape level.

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Section: Introductionmentioning

confidence: 99%

Landscape Pattern Vulnerability of the Eastern Hengduan Mountains, China and Response to Elevation and Artificial Disturbance

Sun

Zhou

Zong

2022

Land

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“…There are several indicators that measure socioeconomic status at individual and area levels, including household income (28,36,50,53,70,136,148,(166)(167)(168)(169)(170), neighborhood deprivation (105,137,144), labor force participation (42,48,148), poverty (22,24,48,58,62,70,72,73,81,85,89,90,93,95,98,100,102,111,112,116,162,(171)(172)(173), gross domestic product (174)(175)(176), income inequality (172,176,177), unemployment (41,49,…”

Section: Economics and Socioeconomicsmentioning

confidence: 99%

“…The strength of social connection is identified as protective of health and wellbeing in the context of climate change, and social isolation as a source of vulnerability (27, 28, 42, 49, 52, 73, 75, 102, 108, 111, 114, 115, p.16-40 Preprint v.2 119, 174,179,194,[223][224][225]. Measures for social connection included social support, local connection, civic participation, social cohesion, and volunteering (27,28,70,115,174,179,224); and inversely, social isolation and living alone are measures of a lack of social connection (49,73,75,111,114,119,194,225).…”

Section: Social Connection and Isolationmentioning

confidence: 99%

Social vulnerability indicators to the Health Impacts of Climate Change: A Scoping Review

Li¹,

Toll²,

Bentley³

2022

Preprint

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This paper is a scoping review of social vulnerability to the health effects of climate change. The review provides an overview of the state of literature on social vulnerability indicators published in English between 2012 and 2022. An initial corpus of 1307 studies were identified from four bibliographic databases (Scopus, Web of Science, PubMed and CAB direct) and after screening 205 relevant studies were identified that contained social vulnerability indicators that mediated between climate change impacts and health outcomes. A frequency analysis was conducted to show the overall scope of the research and a thematic analysis of the results was conducted to examine substantive trends within the literature. A total of 125 indicators of social vulnerability were identified yet a relatively small set of indicators received most of the attention. Indicators that operationalized social vulnerability beyond individual and demographic characteristics were found to be under-researched and needed to further support climate resilience and adaptation planning.

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“…Rural populations that occupy marginal lands-such as islands or high mountains-and depend on small-scale agriculture encounter the greatest risk of finding themselves forced to migrate (Afifi and J€ ager 2010;Foresight 2011;Banerjee et al 2014;Maharjan et al 2018;Gopirajan et al 2021;Jha et al 2021). For example, variation in rainfall can directly affect economic resources of rural populations depending on rainfed agriculture, threatening a community's food security and livelihoods.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

Climate, Agriculture, and Migration: Exploring the Vulnerability and Outmigration Nexus in the Indian Himalayan Region

Biella

Hoffmann

Upadhyay

2022

Mountain Research and Development

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Socio-ecological vulnerability and resilience of mountain communities residing in capital-constrained environments

Cited by 19 publications

References 59 publications

Landscape Pattern Vulnerability of the Eastern Hengduan Mountains, China and Response to Elevation and Artificial Disturbance

Landscape Pattern Vulnerability of the Eastern Hengduan Mountains, China and Response to Elevation and Artificial Disturbance

Social vulnerability indicators to the Health Impacts of Climate Change: A Scoping Review

Climate, Agriculture, and Migration: Exploring the Vulnerability and Outmigration Nexus in the Indian Himalayan Region

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