Exploring climate change impacts and adaptations of extensive pastoral agriculture systems by combining biophysical simulation and farm system models

2016 ◽  
Vol 144 ◽  
pp. 77-86 ◽  
Author(s):  
Mark Lieffering ◽  
Paul C.D. Newton ◽  
Ronaldo Vibart ◽  
Frank Y. Li
2021 ◽  
Vol 17 ◽  
Author(s):  
Sarah Mansfield ◽  
Colin Ferguson ◽  
Philippa Gerard ◽  
David Hodges ◽  
John Kean ◽  
...  

It is well understood that damage by insect pests can have serious consequences for pasture resilience. However, the impacts of climate change on pastoral systems, the responses of insect pests, and implications for pest impact mitigation are unclear. This paper reviews pest responses to climate change, including direct impacts such as temperature and carbon dioxide levels, geographic range expansion, sleeper pests, and outbreaks resulting from disturbance such as drought and farm system changes. The paper concludes with a plea for transdisciplinary research into pasture resilience under climate change that has insect pests as an integral component – not as an afterthought.


2016 ◽  
Vol 7 (1) ◽  
pp. 211-229 ◽  
Author(s):  
Natalie Mahowald ◽  
Fiona Lo ◽  
Yun Zheng ◽  
Laura Harrison ◽  
Chris Funk ◽  
...  

Abstract. The area of leaves in the plant canopy, measured as leaf area index (LAI), modulates key land–atmosphere interactions, including the exchange of energy, moisture, carbon dioxide (CO2), and other trace gases and aerosols, and is therefore an essential variable in predicting terrestrial carbon, water, and energy fluxes. Here our goal is to characterize the LAI projections from the latest generation of earth system models (ESMs) for the Representative Concentration Pathway (RCP) 8.5 and RCP4.5 scenarios. On average, the models project increases in LAI in both RCP8.5 and RCP4.5 over most of the globe, but also show decreases in some parts of the tropics. Because of projected increases in variability, there are also more frequent periods of low LAI across broad regions of the tropics. Projections of LAI changes varied greatly among models: some models project very modest changes, while others project large changes, usually increases. Modeled LAI typically increases with modeled warming in the high latitudes, but often decreases with increasing local warming in the tropics. The models with the most skill in simulating current LAI in the tropics relative to satellite observations tend to project smaller increases in LAI in the tropics in the future compared to the average of all the models. Using LAI projections to identify regions that may be vulnerable to climate change presents a slightly different picture than using precipitation projections, suggesting LAI may be an additional useful tool for understanding climate change impacts. Going forward, users of LAI projections from the CMIP5 ESMs evaluated here should be aware that model outputs do not exhibit clear-cut relationships to vegetation carbon and precipitation. Our findings underscore the need for more attention to LAI projections, in terms of understanding the drivers of projected changes and improvements to model skill.


2019 ◽  
Author(s):  
International Food Policy Research Institute (IFPRI)

Sign in / Sign up

Export Citation Format

Share Document