@inproceedings{icrisat11480,
           month = {September},
       booktitle = {Annual Meeting of the International Pest Risk Research Group},
            year = {2019},
           title = {Target Population Environments and Pest Distribution Modelling: An Approach towards Pest Prioritization and Preparedness},
          author = {M Sharma and G Ramanagouda and U S Sharath Chandran and J Kholova and M Irshad Ahmed},
        keywords = {Pest Management, Plant Disease},
             url = {http://oar.icrisat.org/11480/},
        abstract = {The transboundary crop pest and disease (P\&D) outbreaks over large geographical regions jeopardizes the food security and have broad economic, social and environmental impacts. The upsurge of new crop P\&D, such as fall armyworm; cassava mosaic and brown streak virus; banana fusarium wilt tropical race 4 and wheat stem rust Ug99 are having serious repercussions on agriculture. Climate change is, in part, responsible for food chain catastrophes arising from these transboundary P\&D. However, there is clear evidence that climate change impacts are altering the distribution of crop P\&D. Such accelerated events require more attention on a greater scale to strengthen food security and protect the livelihoods of poor and most vulnerable countries of the world. A well-defined P\&D ranking and distribution will focus on supporting policy-making, integrated P\&D management as well as tangible pre-emptive breeding strategies at large scale. Here, we have used chickpea homogenous systems units (HSUs) defined by mechanistic models and geo-bio-physical parameters; over which the P\&D distribution and rankings were over-layered. The chickpea P\&D severity, distributions, social impact and key drivers responsible for spread on these locations were identified by using meta-analysis. Further, in order to understand the possible risks and consequences of P\&D population growth and geographical expansion, the CLIMEX package was used. We aim to compare the pest distribution generic models and prioritization methodologies for emerging regional specific P\&D. These findings would support policy intrusions associated with long term transformative adaptation strategies for climate change.}
}