Uncertainty in adaptive capacity and the importance of scale

Vincent, Katharine

doi:10.1016/j.gloenvcha.2006.11.009

Cited by 480 publications

(333 citation statements)

References 45 publications

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“…Thus, as already noted, scale is a central issue in any assessment of adaptive capacity (Yohe and Tol 2002;Adger et al 2005;Vincent 2007). …”

Section: Socioeconomic Trendsmentioning

confidence: 93%

“…In the last stage, researchers worked with stakeholders to construct Bayesian belief networks (BBNs) to deepen understanding about adaptive capacity issues framing adaptation options . A conceptual model emerged that acknowledged the important relationships that exist across local, regional and global scales (Vincent 2007). The four lenses of socioeconomic trends, historical determinants, systems conceptualisations and BBNs offer both empirical and interpretive data to inform assessments of adaptive capacity (Fig.…”

Section: Determinants Of Adaptive Capacitymentioning

confidence: 99%

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Building adaptive capacity in South East Queensland, Australia

et al. 2013

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The effectiveness of various adaptation options is dependent on the capacity to plan, design and implement them. Understanding the determinants of adaptive capacity is, therefore, crucial for effective responses to climate change. This paper offers an assessment of adaptive capacity across a range of sectors in South East Queensland, Australia. The paper has four parts, including (1) an overview of adaptive capacity, in particular as a learning process; (2) a description of the various methods used to determine adaptive capacity; (3) a synthesis of the determinants of adaptive capacity; and (4) the identification of mechanisms to build adaptive capacity in the region. We conclude that the major issue impacting adaptive capacity is not the availability of physical resources but the dominant social, political and institutional culture of the region.

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“…Thus, as already noted, scale is a central issue in any assessment of adaptive capacity (Yohe and Tol 2002;Adger et al 2005;Vincent 2007). …”

Section: Socioeconomic Trendsmentioning

confidence: 93%

Section: Determinants Of Adaptive Capacitymentioning

confidence: 99%

Building adaptive capacity in South East Queensland, Australia

et al. 2013

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“…In recent years, indicator and metrics based analysis has been used to link system dynamics quantitatively across scales and sectors (Moss et al 2001;Luers et al 2003;Brooks et al 2005;Vincent 2007;Eakin and Bojorequez-Tapia 2008;Hahn et al 2009). These indicators do not, however, address the dynamic nature of vulnerability in its manifestation and causes adequately (Leichenko and O'Brien 2002;Vogel and O'Brien 2004;Eakin and Luers 2006).…”

Section: Climate Change Vulnerability Assessments In Practicementioning

confidence: 99%

Livelihood vulnerability assessment to climate variability and change using fuzzy cognitive mapping approach

Singh

Nair

2014

Climatic Change

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Existing studies in the context of assessing vulnerability to climate variability and change delineate, rather inadequately, interconnected interactions occurring within the climate-human-environment interaction space. Besides, studies documenting stakeholders' perceptions regarding climate change induced vulnerabilities are limited in terms of providing indicators for decision-making. This paper aims at constructing a livelihood vulnerability index for climate variability and change capturing interconnected interactions based on peoples' perceptions while providing indicators for evidence based decision-making. A semi-quantitative fuzzy cognitive mapping (FCM) approach has been deployed to capture peoples' perceptions of climate induced perturbations and adaptations. This approach helps quantify stakeholders' perspectives while capturing interconnected interactions in order to estimate livelihood vulnerability to climate variability and change of poor agro-pastoralists in the Bhilwara, a district in Western India. Combining the FCM approach with a sustainable livelihood framework warrants an understanding of assets sensitive to climate variability and change along with those serving as adaptive capacities. The findings of this study confirm that financial and natural assets are most susceptible to harm while organisational and financial assets provide resilience against climate variability and change. The results suggest that livelihood vulnerability of agropastoralists lie in the range of being 'vulnerable' to climate variability and change while varying across three seasons summer, winter, and rainfall.

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“…2007)), to broader multi-sectoral national studies (e.g. the National Adaptive Capacity Index, NACI) (Vincent, 2007). Acosta et al (2013) provided European assessments, constructing an index based on three components: awareness, ability and action, as part of wider European climate-change vulnerability assessment (Metzger et al 2008).…”

Section: Introductionmentioning

confidence: 99%