2020
DOI: 10.1016/j.ecolind.2020.106290
|View full text |Cite
|
Sign up to set email alerts
|

Modelling biophysical vulnerability of wheat to future climate change: A case study in the eastern Australian wheat belt

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(3 citation statements)
references
References 54 publications
0
3
0
Order By: Relevance
“…Process-level crop models are increasingly used to project climate change impacts on food security (e.g. Ahmad et al, 2020;Chen et al, 2020;Resop et al, 2016;Wang et al, 2020;Xiao et al, 2020). Recent literature uses projections from a single model to estimate the magnitude of such effects on yield and other response variables.…”
Section: Introductionmentioning
confidence: 99%
“…Process-level crop models are increasingly used to project climate change impacts on food security (e.g. Ahmad et al, 2020;Chen et al, 2020;Resop et al, 2016;Wang et al, 2020;Xiao et al, 2020). Recent literature uses projections from a single model to estimate the magnitude of such effects on yield and other response variables.…”
Section: Introductionmentioning
confidence: 99%
“…Rice and wheat have been the most important staple crops in the world, feeding more than 90% of the global population (Fitzgerald et al, 2009; Shewry, 2009). The impacts of climate change on crop yield are already alarming (Asseng et al, 2015; Schleussner et al, 2016; Wang et al, 2020), though crop yields can benefit from elevated atmospheric [CO 2 ] (Ainsworth, 2008; Lv et al, 2020; Wang et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…However, changes in the potential distribution of crops that typically result from climate change, although widely predicted (Ureta et al 2012;Zabel et al 2014;Shabani and Kotey 2016;Ramirez-Cabral et al 2017;Yue et al 2019), have yet to receive adequate attention from those conducting research on such exposure. Some studies simply simulated the distribution and intensity of extreme weather events within a major growing region (Zhang et al 2018a;Wang et al 2020) to characterize crop exposure, but did not take into account the actual distribution of the particular crops on a spatial scale fine enough for precise quantification. Other studies used gridded global data on crop distribution to examine current and future exposure.…”
Section: Introductionmentioning
confidence: 99%