Fisher’s perceptions inform adaptation measures to reduce vulnerability to climate change in a Mexican natural protected area

Abstract The state of Paraíba, located in the northeastern region of Brazil, comprises 223 municipalities and covers an area of 56,469 km2. Paraíba is divided into four major mesoregions: Zona da Mata, Agreste, Borborema and Sertão Paraibano. For this study, the Sertão Paraibano mesoregion, a semiarid area, was chosen to understand vulnerability to climate change, taking into account the region’s economic importance for water and energy supply. The Mann-Kendall non-parametric test was applied to evaluate trends in the historical series of monthly, trimestrial, biannual and annual precipitation data. The series utilized corresponded to the period 1912-2012 and were built from data generated by five meteorological stations distributed throughout the mesoregion. These stations are maintained by the Executive Agency for Water Management (AESA) and National Department of Works Against Drought (DNOCS). The results indicated increasing precipitation trends for the Sertão Paraibano mesoregion, especially in the annual evaluation, for the first semester of the year (January to June), for the trimester December-January-February and the month of January, with slopes between 2.67 mm/year and 5.45 mm/year. The results evidenced the need to deepen studies on the influence of climate change in the area, to promote prompt adaptation measures.

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Synthesis of ecosystem vulnerability to climate change in the Netherlands shows the need to consider environmental fluctuations in adaptation measures

Regional Environmental Change ◽

10.1007/s10113-013-0511-x ◽

2013 ◽

Cited By ~ 2

Author(s):

P. M. van Bodegom ◽

J. Verboom ◽

J. P. M. Witte ◽

C. C. Vos ◽

R. P. Bartholomeus ◽

...

Keyword(s):

Climate Change ◽

The Netherlands ◽

Adaptation Measures ◽

Ecosystem Vulnerability ◽

Vulnerability To Climate Change ◽

Environmental Fluctuations

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Integrating local knowledge and perception for assessing vulnerability to climate change in economically dynamic coastal areas: The case of natural protected area Aiguamolls de l'Empordà, Spain

Ocean & Coastal Management ◽

10.1016/j.ocecoaman.2013.09.010 ◽

2013 ◽

Vol 85 ◽

pp. 90-102 ◽

Cited By ~ 11

Author(s):

Sandra Fatorić ◽

Ricard Morén-Alegret

Keyword(s):

Climate Change ◽

Local Knowledge ◽

Protected Area ◽

Coastal Areas ◽

Vulnerability To Climate Change

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A Scale to Measure Farmers’ Risk Perceptions about Climate Change and Its Impact on Agriculture

Asian Journal of Agricultural Extension Economics & Sociology ◽

10.9734/ajaees/2019/v32i130145 ◽

2019 ◽

pp. 1-10

Author(s):

Rupan Raghuvanshi ◽

Mohammad Aslam Ansari

Keyword(s):

Climate Change ◽

State Government ◽

Risk Perceptions ◽

Strong Predictor ◽

Management Strategies ◽

Reliability And Validity ◽

Adaptation Measures ◽

Mitigation And Adaptation ◽

Vulnerability To Climate Change ◽

Risk Management Strategies

Climate change has emerged as one of the key determinants of agricultural productivity. Risks perceptions of farmers’ towards climate change and its impact on agriculture are said to be a strong predictor of their behavioural intentions to climate change mitigation and adaptation strategies. Consequently, measuring farmers’ perception about risks associated with climate change is of paramount importance and needs to be studied so that appropriate adaptation measures could be undertaken to mitigate the productivity losses. The present study was an attempt to develop a scale to measure the farmers risk perception about climate change which could be used by researchers. Likert’s summated rating technique was followed for the construction of perception scale. The process started with selection of 30 statements on the bases of Mean Relevancy Weightage (MRW) scores; and the statements were given to 30 farmers in four purposively selected villages (based on their degree of vulnerability to climate change as determined by a State government Report) in Kumaon division Uttarakhand, a North Himalayan state of India which is perennially susceptible to climate change risks and uncertainties. The scale developed finally consisted of 20 statements. The reliability and validity of the scale was computed to find out the precision and consistency of the results. This scale will be useful for researchers and academicians studying farmers’ perceptions towards climate change and its impact on agriculture. It would also be useful for policy makers for developing risk management strategies.

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Farmers’ Net Income Distribution and Regional Vulnerability to Climate Change: An Empirical Study of Bangladesh

Climate ◽

10.3390/cli6030065 ◽

2018 ◽

Vol 6 (3) ◽

pp. 65 ◽

Cited By ~ 4

Author(s):

Md. ALAMGIR ◽

Jun FURUYA ◽

Shintaro KOBAYASHI ◽

Mostafiz BINTE ◽

Md. SALAM

Keyword(s):

Climate Change ◽

Regional Analysis ◽

Economic Research ◽

Climate Change Scenarios ◽

Adaptation Measures ◽

Severe Problem ◽

Climate Change Vulnerability ◽

Agricultural Income ◽

Vulnerability To Climate Change ◽

Regional Vulnerability

Widespread poverty is the most serious threat and social problem that Bangladesh faces. Regional vulnerability to climate change threatens to escalate the magnitude of poverty. It is essential that poverty projections be estimated while bearing in mind the effects of climate change. The main purpose of this paper is to perform an agrarian sub-national regional analysis of climate change vulnerability in Bangladesh under various climate change scenarios and evaluate its potential impact on poverty. This study is relevant to socio-economic research on climate change vulnerability and agriculture risk management and has the potential to contribute new insights to the complex interactions between household income and climate change risks to agricultural communities in Bangladesh and South Asia. This study uses analysis of variance, cluster analysis, decomposition of variance and log-normal distribution to estimate the parameters of income variability that can be used to ascertain vulnerability levels and help us to understand the poverty levels that climate change could potentially generate. It is found that the levels and sources of income vary greatly among regions of Bangladesh. The variance decomposition of income showed that agricultural income in Mymensingh and Rangpur is the main cause of the total income difference among all sources of income. Moreover, a large variance in agricultural income among regions is induced by the gross income from rice production. Additionally, even in the long run the gradual, constant reduction of rice yield due to climate change in Bangladesh is not a severe problem for farmers. However, extreme events such as floods, flash floods, droughts, sea level rise and greenhouse gas emissions, based on Representative concentration pathways (RCPs), could increase the poverty rates in Mymensingh, Rajshahi, Barisal and Khulna—regions that would be greatly affected by unexpected yield losses due to extreme climatic events. Therefore, research into and development of adaptation measures to climate change in regions where farmers are largely dependent on agricultural income are important.

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Toward an innovative interdisciplinary method for vulnerability assessments: the case of Taiwan

Journal of Water and Climate Change ◽

10.2166/wcc.2014.256 ◽

2014 ◽

Vol 6 (3) ◽

pp. 501-517 ◽

Cited By ~ 1

Author(s):

Chia-Chi Lee ◽

Ching-Pin Tung ◽

Tzu-Ming Liu ◽

Jung-Hsuan Tsao ◽

Gin-Rong Liu ◽

...

Keyword(s):

Climate Change ◽

Water Resource Management ◽

Assessment Method ◽

Health Food ◽

Environmental Disaster ◽

Adaptation Measures ◽

Change Factors ◽

Vulnerability To Climate Change ◽

Vulnerability Assessments ◽

The Impact

Humans live in complicated social-ecological systems within which we interact with our surrounding environment. This interaction is of concern to various disciplines, which focus on various system elements (factors), many of which are mutually interacting. Assessments of vulnerability to climate change assist us in realizing the magnitude of the impact of various climate change factors, allowing us to determine and adopt appropriate adaptation measures. Nevertheless, previous impact-driven vulnerability assessments are either disciplinary or multidisciplinary and cannot easily account for the interaction between different disciplines. This paper proposes an interdisciplinary vulnerability assessment method (IVAM) to develop a framework by which interdisciplinary vulnerabilities can be understood. In addition, IVAM processes can promote the emergence of an interdisciplinary system, which could be used to identify the scope of interdisciplinary influence of a particular policy, along with the critical elements (factors) and government stakeholders of such policies. This research seeks to further the policy goals of the national government of Taiwan vis-à-vis climate change, covering the joint cooperation of experts from fields including environmental disaster management, public health, food security, ecology, and water resource management. The specific advantage of IVAM, however, is that this universal model is not limited to any of these specific disciplines.

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