Climate-risk vulnerability assessment of the agriculture sector in the municipalities and cities of Bukidnon, Philippines

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Research Paper 01/12/2018
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Climate-risk vulnerability assessment of the agriculture sector in the municipalities and cities of Bukidnon, Philippines

Joseph C. Paquit, Angela Grace Toledo-Bruno, Thea Arbie S. Rivera, Raquel O. Salingay
Int. J. Biosci.13( 6), 155-168, December 2018.
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Abstract

Climate change is happening and is causing a huge problem to agriculture. It is affecting the agriculture sector of many places and certainly the province of Bukidnon, known as the food basket of Mindanao, is included.  With its limited resources, the government has to target and prioritize sites that urgently need for programs relative to climate change adaptation and mitigation. To achieve this, an assessment of the climate-risk vulnerability of the agriculture sector in the municipalities and cities of Bukidnon was conducted. The CIAT framework to vulnerability assessment was employed in this study. Our results have shown that the municipalities of Kitaotao and Damulog have the most vulnerable agriculture sector in Bukidnon. This is mainly because these two municipalities obtained the lowest adaptive capacity ratings. As the results have indicated, this study recommends for the prioritization of Kitaotao and Damulog in the selection of sites to implement climate change adaptation and mitigation initiatives and projects to uplift the agriculture sector of Bukidnon.

VIEWS 16

David CC, Balisacan A. 1995. Philippine Rice Supply and Demand: Prospects and policy Implications, Makati City, Philippines: Philippine Institute for Development Studies.

Fahad S, Wang J. 2018. Farmers’ risk perception, vulnerability, and adaptation to climate change in rural Pakistan. Land Use Policy 79, 301-309. https://doi.org/10.1016/j.landusepol.2018.08.018

Field CB. 2012. Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation: Special Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.

Galletti CS, Ridder E, Falconer SE, Fall Pl. 2013. Maxent modeling of ancient and modern agricultural terraces in the Troodos foothills, Cyprus. Applied Geography 39, 46–56. http://dx.doi.org/10.1016/j.apgeog.2012.11.020

Hijmans R, Cameron S, Parra J, Jones P, Jarvis A. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25, 1965-1978. http://dx.doi.org/10.1002/joc.1276

IPCC. 2001. Climate change 2001: impacts, adaptation, and vulnerability: contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change. Ed. James McCarthy. Cambridge, UK; New York, USA: Cambridge University Press.

Khanum R, Mumtaz A, Kumar S. 2013. Predicting impacts of climate change on medicinal asclepiads of Pakistan using Maxent modeling. Acta Oecologica 49, 23–31. http://dx.doi.org/10.1016/j.actao.2013.02.007

Läderach P, Eitzinger A, Bunn C, Benedikter A, Quiroga A, Pantoja A, Rizo L. 2011. Adaptation by agricultural communities to climate change through participatory & supply chain inclusive management. International Center for Tropical Agriculture (CIAT), Managua, Nicaragua and Cali, Colombia Cali, Colombia.

Lansigan FP, de Los Santos W, Coladilla JO. 2000. Agro-economic impacts of climate variability on rice production in the Philippines. Agriculture Ecosystems & Environment 82, 129-137. http://dx.doi.org/10.1016/S0167-8809(00)00222-X

Leathwick JR, Elith J, Hastie T. 2006. Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of speciesdistributions. Ecological Modelling 199(2), 188–196. http://dx.doi.org/10.1016/j.ecolmodel.2006.05.022

Lobell D, Gourdji S. 2012. The influence of climate change on global crop productivity. Plant Physiology 160(4), 1686–1697.

NOAA. 2010

Paquit J, Pampolina N, Tiburan C Jr, Manalo MM.2017. Maxent modeling of the habitat distribution of the critically endangered Pterocarpus indicus Willd. forma    indicus In Mindanao, Philippines. Journal of Biodiversity and Environmental Sciences 10(3), 112-122

Paquit J, Rama RI. 2018. Modeling the effect of climate change to the potential invasion range of Piper aduncum Linnaeus. Global Journal of Environmental Science and Management 4(1), http://dx.doi.org/10.22034/gjesm.2018.04.01.00

Philippine Atmospheric, Geophysical & Astronomical Services Administration (PAGASA). 2011. Climate Change in the Philippines.

Philippine Information Agency. Undated.pia.gov.ph/Bukidnon

Philips S, Anderson R, Schapire R. 2005. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190, 231–259.

Wiréhn L, Opach T, Neset T. 2017. Assessing agricultural vulnerability to climate change in the Nordic countries–an interactive geovisualization approach, Journal of Environmental Planning and Management 60, 115-134, http://dx.doi.org/10.1080/09640568.2016.1143351

World Bank, World Development Report. 2011. Conflict, Security, and Development, The World Bank, Washington D.C., 2012. , “World Development Indicators