eprintid: 11480
rev_number: 10
eprint_status: archive
userid: 3170
dir: disk0/00/01/14/80
datestamp: 2020-04-10 10:01:08
lastmod: 2020-04-10 10:01:08
status_changed: 2020-04-10 10:01:08
type: conference_item
metadata_visibility: show
creators_name: Sharma, M
creators_name: Ramanagouda, G
creators_name: Sharath Chandran, U S
creators_name: Kholova, J
creators_name: Irshad Ahmed, M
creators_gender: Female
creators_gender: Female
icrisatcreators_name: Sharma, M
icrisatcreators_name: Ramanagouda, G
icrisatcreators_name: Sharath Chandran, U S
icrisatcreators_name: Kholova, J
icrisatcreators_name: Irshad Ahmed, M
affiliation: ICRISAT (Patancheru)
country: India
title: Target Population Environments and Pest Distribution Modelling: An Approach towards Pest Prioritization and Preparedness
ispublished: pub
subjects: S8
subjects: s35
divisions: CRPS2
full_text_status: public
pres_type: paper
keywords: Pest Management, Plant Disease
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.
date: 2019-09
date_type: published
event_title: Annual Meeting of the International Pest Risk Research Group
event_location: 3-6 September 2019
event_dates: Poznan, Poland
event_type: conference
refereed: TRUE
citation:   Sharma, M and Ramanagouda, G and Sharath Chandran, U S and Kholova, J and Irshad Ahmed, M  (2019) Target Population Environments and Pest Distribution Modelling: An Approach towards Pest Prioritization and Preparedness.  In: Annual Meeting of the International Pest Risk Research Group, Poznan, Poland, 3-6 September 2019.     
document_url: http://oar.icrisat.org/11480/1/SHarma%20et%20al%2C%202019_Target%20Populations%20Environments%20and%20Pest%20Distribution%20Modelling.pdf