Crop connectivity under climate change : future environmental and geographic risks of potato late blight in Scotland

© 2016 John Wiley & Sons Ltd.

Bibliographische Detailangaben
Veröffentlicht in:Global change biology. - 1999. - 22(2016), 11 vom: 05. Nov., Seite 3724-3738
1. Verfasser: Skelsey, Peter (VerfasserIn)
Weitere Verfasser: Cooke, David E L, Lynott, James S, Lees, Alison K
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Global change biology
Schlagworte:Journal Article Phytophthora infestans climate change connectivity crop disease dispersal inoculum potato late blight risk assessment Carbon Dioxide 142M471B3J
LEADER 01000naa a22002652 4500
001 NLM260644293
003 DE-627
005 20231224193836.0
007 cr uuu---uuuuu
008 231224s2016 xx |||||o 00| ||eng c
024 7 |a 10.1111/gcb.13368  |2 doi 
028 5 2 |a pubmed24n0868.xml 
035 |a (DE-627)NLM260644293 
035 |a (NLM)27214030 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Skelsey, Peter  |e verfasserin  |4 aut 
245 1 0 |a Crop connectivity under climate change  |b future environmental and geographic risks of potato late blight in Scotland 
264 1 |c 2016 
336 |a Text  |b txt  |2 rdacontent 
337 |a ƒaComputermedien  |b c  |2 rdamedia 
338 |a ƒa Online-Ressource  |b cr  |2 rdacarrier 
500 |a Date Completed 14.09.2017 
500 |a Date Revised 02.12.2018 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a © 2016 John Wiley & Sons Ltd. 
520 |a The impact of climate change on dispersal processes is largely ignored in risk assessments for crop diseases, as inoculum is generally assumed to be ubiquitous and nonlimiting. We suggest that consideration of the impact of climate change on the connectivity of crops for inoculum transmission may provide additional explanatory and predictive power in disease risk assessments, leading to improved recommendations for agricultural adaptation to climate change. In this study, a crop-growth model was combined with aerobiological models and a newly developed infection risk model to provide a framework for quantifying the impact of future climates on the risk of disease occurrence and spread. The integrated model uses standard meteorological variables and can be easily adapted to various crop pathosystems characterized by airborne inoculum. In a case study, the framework was used with data defining the spatial distribution of potato crops in Scotland and spatially coherent, probabilistic climate change data to project the future connectivity of crop distributions for Phytophthora infestans (causal agent of potato late blight) inoculum and the subsequent risk of infection. Projections and control recommendations are provided for multiple combinations of potato cultivar and CO2 emissions scenario, and temporal and spatial averaging schemes. Overall, we found that relative to current climatic conditions, the risk of late blight will increase in Scotland during the first half of the potato growing season and decrease during the second half. To guide adaptation strategies, we also investigated the potential impact of climate change-driven shifts in the cropping season. Advancing the start of the potato growing season by 1 month proved to be an effective strategy from both an agronomic and late blight management perspective 
650 4 |a Journal Article 
650 4 |a Phytophthora infestans 
650 4 |a climate change 
650 4 |a connectivity 
650 4 |a crop disease 
650 4 |a dispersal 
650 4 |a inoculum 
650 4 |a potato late blight 
650 4 |a risk assessment 
650 7 |a Carbon Dioxide  |2 NLM 
650 7 |a 142M471B3J  |2 NLM 
700 1 |a Cooke, David E L  |e verfasserin  |4 aut 
700 1 |a Lynott, James S  |e verfasserin  |4 aut 
700 1 |a Lees, Alison K  |e verfasserin  |4 aut 
773 0 8 |i Enthalten in  |t Global change biology  |d 1999  |g 22(2016), 11 vom: 05. Nov., Seite 3724-3738  |w (DE-627)NLM098239996  |x 1365-2486  |7 nnns 
773 1 8 |g volume:22  |g year:2016  |g number:11  |g day:05  |g month:11  |g pages:3724-3738 
856 4 0 |u http://dx.doi.org/10.1111/gcb.13368  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_NLM 
912 |a GBV_ILN_350 
951 |a AR 
952 |d 22  |j 2016  |e 11  |b 05  |c 11  |h 3724-3738