Assessment of inherent vulnerability of forests at landscape level: a case study from Western Ghats in India

Sharma, Jagmohan; Upgupta, Sujata; Kumar, Rajesh; Chaturvedi, Rajiv Kumar; Bala, Govindasamy; Ravindranath, N. H.

doi:10.1007/s11027-015-9659-7

Cited by 13 publications

(3 citation statements)

References 14 publications

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“…The studies that assess vulnerability by operationalizing the IPCC 2014 definition of vulnerability ('the propensity or predisposition to be adversely affected') are limited (e.g., Shukla et al 2016, Sharma et al 2017. Most vulnerability studies continue to use the IPCC 2007 definition of vulnerability (Mussetta et al 2017) and directly account for exposure component to assess vulnerability (Metzger et al 2006, Hahn et al 2009, Lung et al 2013, Simane et al 2016, Kumar et al 2016.…”

Section: Introductionmentioning

confidence: 99%

Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change

Sharma¹,

Ravindranath

2019

Environ. Res. Commun.

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163

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The Intergovernmental Panel on Climate Change (IPCC), Working Group II Report (2014) presents vulnerability as a pre-existing characteristic property of a system. Accordingly, indicators for 'sensitivity' and 'adaptive capacity', which are internal properties of a system, are employed to assess it. Comparatively, the IPCC 2007 report includes 'exposure', an external factor, as the third component of vulnerability. We have compared the construct of vulnerability presented in IPCC 2007 and 2014 reports. It is argued that the results of vulnerability assessment obtained by adopting IPCC 2014 framework are practically more useful for reducing current vulnerability in preparedness to deal with an uncertain future. In the process, we have articulated the novel concepts of 'selecting hazardrelevant vulnerability indicators' and 'assessing hazard-specific vulnerability'. Use of these concepts improves the contextualization of an assessment and thereby the acceptability of assessment results by the stakeholders.

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Section: Introductionmentioning

confidence: 99%

Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change

Sharma¹,

Ravindranath

2019

Environ. Res. Commun.

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163

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“…A modelling study for India [7] indicated that 30.6% and 45% of the forest ar- The overall objective of the study is to assess the impact of projected climate change on forest ecosystems of the 3 river basins of Himalayan region.  To assess the impact of climate change on forest ecosystems of the three river basins using the latest CMIP5 climate model projections and two dynamic global vegetation models.…”

Section: Introductionmentioning

confidence: 99%

“… To assess the impact of climate change on vegetation shifts and NPP of the forest ecosystems of the three river basins. In this study, the investigation is limited to only vegetation shifts and NPP since these two variables are more fundamental to ecosystems and have been also validated by previous studies [7] [8]. Carbon stocks have not been analysed because it is challenging to validate model simulated carbon stocks as observations (of biomass and soil carbon) are lacking.…”

Section: Introductionmentioning

confidence: 99%

Impact of Climate Change on Vegetation Distribution and Net Primary Productivity of Forests of Himalayan River Basins: Brahmaputra, Koshi and Indus

Chaitra¹,

Upgupta²,

Bhatta³

et al. 2018

AJCC

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The impacts of climate change in terms of forest vegetation shifts and Net Primary Productivity (NPP) changes are assessed for Brahmaputra, Koshi and Indus river basins for the mid (2021-2050) and long (2071-2100) terms for RCP4.5 and RCP8.5 scenarios. Two Dynamical Global Vegetation Models (DGVMs), Integrated BIosphere Simulator (IBIS) and (Lund Postdam and Jena (LPJ), have been used for this purpose. The DGVMs are driven by the ensemble mean climate projections from 5 climate models that contributed to the CMIP5 data base. While both DGVMs project vegetation shifts in the forest areas of the basins, there are large differences in vegetation shifts projected by IBIS and LPJ. This may be attributed to differing representation of land surface processes and to differences in the number of vegetation types (Plant Functional Types) defined and simulated in the two models. However, there is some agreement in NPP changes as projected by both IBIS and LPJ, with IBIS mostly projecting a larger increase in NPP for the future scenarios. Despite the uncertainties with respect to climate change projections at river basin level and the differing impact assessments from different DGVMs, it is necessary to assess the "vulnerability" of the forest ecosystems and forest dependent communities to current climate risks and future climate change and to develop and implement resilience or adaptation measures. Assessment of the "vulnerability" and designing of the adaptation strategies could be undertaken for all the forested grids where both IBIS and LPJ project vegetation shifts.How to cite this paper: Chaitra, A., Up-

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Assessment of Socio-Economic Vulnerability in a Forested Region: An Indicator-Based Study in Bankura District of West Bengal, India

Dutta¹,

Chatterjee²

2021

Advances in Geographic Information Science

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Assessment of inherent vulnerability of forests at landscape level: a case study from Western Ghats in India

Cited by 13 publications

References 14 publications

Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change

Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change

Impact of Climate Change on Vegetation Distribution and Net Primary Productivity of Forests of Himalayan River Basins: Brahmaputra, Koshi and Indus

Assessment of Socio-Economic Vulnerability in a Forested Region: An Indicator-Based Study in Bankura District of West Bengal, India

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