Indicator of Agriculture Vulnerability to Climatic Extremes. A Conceptual Model with Case Study for the Northeast Brazil

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ISSN Print: 2160-0414
ISSN Online: 2160-0422
www.scirp.org/journal/acs
E-mail: acs@scirp.org

"Indicator of Agriculture Vulnerability to Climatic Extremes. A Conceptual Model with Case Study for the Northeast Brazil"
written by Bruce Kelly N. Silva, Paulo Sergio Lucio,
published by Atmospheric and Climate Sciences, Vol.4 No.2, 2014

has been cited by the following article(s):

[1]	An epidemiological index for drought vulnerability in the Rio Grande do Norte State, Brazil
	2021

[2]	Um Modelo Conceitual de Probabilidade para Determinação da Vulnerabilidade Populacional ao Clima
	2020

[3]	A Conceptual Model of Probability for Determining Population Vulnerability to Climate
	2020

[4]	Does nature of livelihood regulate the urban community's vulnerability to climate change? Guwahati city, a case study from North East India
	2019

[5]	Rainfall-related natural disasters in the Northeast of Brazil as a response to ocean-atmosphere interaction
	2019

[6]	A quantitative approach to assess farming systems vulnerability: an application to mixed crop-livestock systems
	11èmes Journées de Recherches en Sciences Sociales, 2017

[7]	Characterization agricultural vulnerability to drought in the Northeast of Brazil
	Advances in Meteorology, 2016

[8]	Stability, robustness, vulnerability and resilience of agricultural systems. A review
	Agronomy for Sustainable Development, 2016

[9]	Vulnerability assessment for loss of access to drinking water due to extreme weather events
	Climatic Change, 2015

[1]	An epidemiological index for drought vulnerability in the Rio Grande do Norte State, Brazil International Journal of Biometeorology, 2020 DOI:10.1007/s00484-020-02034-4

[2]	Um Modelo Conceitual de Probabilidade para Determinação da Vulnerabilidade Populacional ao Clima Revista Brasileira de Meteorologia, 2020 DOI:10.1590/0102-77863550015

[3]	Stability, robustness, vulnerability and resilience of agricultural systems. A review Agronomy for Sustainable Development, 2016 DOI:10.1007/s13593-015-0347-5

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