A multi-scale assessment of human vulnerability to climate change in the Aral Sea basin

Lioubimtseva, Elena

doi:10.1007/s12665-014-3104-1

Cited by 94 publications

(40 citation statements)

References 39 publications

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“…This seems reasonable, since the Aral Sea has also contracted within the time-span of the study [Micklin, 2010]. This also provides evidence for the increasing future aridity presumed by Lioubimtseva [2015], already detectable in the results of this work. The browning, even monotonic, trend in vegetation activity from the north of Kazakhstan reported by de Jong et al [2013] was not confirmed by this study.…”

Section: Discussionsupporting

confidence: 76%

“…Climate change is indisputable, and significant changes in vegetation phenology are to be expected [Lioubimtseva, 2015]. A general understanding of the factors and mechanisms that influence vegetation dynamics in Central Asia is a challenge in the prediction of future vegetation scenarios.…”

Section: Resultsmentioning

confidence: 99%

“…They attribute the particular vulnerability of the region to its large areas of desert, relative underdevelopment, and the traumatic social, economic and institutional upheaval following independence. Further, a projected warming of about 2°C to 3°C by 2050 will further increase the aridity of the region [Lioubimtseva, 2015]. The aim of this paper is to present the vegetation dynamics of Central Asia as expressed by spatial and temporal variability in land surface phenology represented by a set of nine different phenological metrics covering the 1982-2011 period, and to establish any significant trends.…”

Section: Introductionmentioning

confidence: 99%

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The Spatial and Temporal Dynamics of Remotely-sensed Vegetation Phenology in Central Asia in the 1982–2011 Period

Bohovic

Dobrovolný

Klein

2016

European Journal of Remote Sensing

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An understanding of present and past vegetation dynamics is essential to future reaction strategies to climate change, especially in developing regions. This study seeks to widen such knowledge by utilizing remotely-sensed normalized difference vegetation index (NDVI) data to compute phenology metrics for Central Asia in the 1982-2011 period. Spatial and temporal analysis was performed for nine phenological metrics and for subregions with consistent vegetation dynamics. A general increase of biomass was disclosed, except in bare deserts, and the growing season appears to be starting earlier. Despite of the dominant greening trend, deserts show inverse dynamics, possibly a sign of rising aridity.

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Section: Discussionsupporting

confidence: 76%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Spatial and Temporal Dynamics of Remotely-sensed Vegetation Phenology in Central Asia in the 1982–2011 Period

Bohovic

Dobrovolný

Klein

2016

European Journal of Remote Sensing

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“…Exposure, sensitivity, and adaptive capacity are scaledependent (Lioubimtseva 2015). However, downscaled, locally specific projections on future climate stressors are not yet available in most local settings (Romieu et al 2010).…”

Section: Discussionmentioning

confidence: 99%

I-C-SEA Change: A participatory tool for rapid assessment of vulnerability of tropical coastal communities to climate change impacts

Licuanan

Samson

Mamauag³

et al. 2015

Ambio

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We present a synoptic, participatory vulnerability assessment tool to help identify the likely impacts of climate change and human activity in coastal areas and begin discussions among stakeholders on the coping and adaptation measures necessary to minimize these impacts. Vulnerability assessment tools are most needed in the tropical Indo-Pacific, where burgeoning populations and inequitable economic growth place even greater burdens on natural resources and support ecosystems. The Integrated Coastal Sensitivity, Exposure, and Adaptive Capacity for Climate Change (I-C-SEA Change) tool is built around a series of scoring rubrics to guide non-specialists in assigning scores to the sensitivity and adaptive capacity components of vulnerability, particularly for coral reef, seagrass, and mangrove habitats, along with fisheries and coastal integrity. These scores are then weighed against threat or exposure to climate-related impacts such as marine flooding and erosion. The tool provides opportunities for learning by engaging more stakeholders in participatory planning and group decision-making. It also allows for information to be collated and processed during a ''town-hall'' meeting, facilitating further discussion, data validation, and even interactive scenario building.

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“…According to academic literature on vulnerability to climate change at multiple spatial scales [76][77][78][79], we developed a new conceptual framework for the social vulnerability assessment of coastal cities based on the hazards of place (HOP) model [45] (Figure 1). The concept of spatial scale is formally incorporated into the model and the idea of "adaptability" is substituted for "resilience" in order to link vulnerability analysis to climate change.…”

Section: Methodsmentioning

confidence: 99%

Planning Resilient and Sustainable Cities: Identifying and Targeting Social Vulnerability to Climate Change

Dou

Liu

2017

Sustainability

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A multi-scale assessment of human vulnerability to climate change in the Aral Sea basin

Cited by 94 publications

References 39 publications

The Spatial and Temporal Dynamics of Remotely-sensed Vegetation Phenology in Central Asia in the 1982–2011 Period

The Spatial and Temporal Dynamics of Remotely-sensed Vegetation Phenology in Central Asia in the 1982–2011 Period

I-C-SEA Change: A participatory tool for rapid assessment of vulnerability of tropical coastal communities to climate change impacts

Planning Resilient and Sustainable Cities: Identifying and Targeting Social Vulnerability to Climate Change

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