Search details
1.
The extreme 2016 wheat yield failure in France.
Glob Chang Biol
; 29(11): 3130-3146, 2023 06.
Article
in English
| MEDLINE | ID: mdl-36951185
2.
Agricultural breadbaskets shift poleward given adaptive farmer behavior under climate change.
Glob Chang Biol
; 28(1): 167-181, 2022 01.
Article
in English
| MEDLINE | ID: mdl-34478595
3.
Large potential for crop production adaptation depends on available future varieties.
Glob Chang Biol
; 27(16): 3870-3882, 2021 08.
Article
in English
| MEDLINE | ID: mdl-33998112
4.
Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa.
Glob Chang Biol
; 26(10): 5942-5964, 2020 Oct.
Article
in English
| MEDLINE | ID: mdl-32628332
5.
Temperature increase reduces global yields of major crops in four independent estimates.
Proc Natl Acad Sci U S A
; 114(35): 9326-9331, 2017 08 29.
Article
in English
| MEDLINE | ID: mdl-28811375
6.
Global wheat production with 1.5 and 2.0°C above pre-industrial warming.
Glob Chang Biol
; 25(4): 1428-1444, 2019 Apr.
Article
in English
| MEDLINE | ID: mdl-30536680
7.
Climate change impact and adaptation for wheat protein.
Glob Chang Biol
; 25(1): 155-173, 2019 01.
Article
in English
| MEDLINE | ID: mdl-30549200
8.
Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments.
Philos Trans A Math Phys Eng Sci
; 376(2119)2018 May 13.
Article
in English
| MEDLINE | ID: mdl-29610385
9.
Climate Shifts within Major Agricultural Seasons for +1.5 and +2.0 °C Worlds: HAPPI Projections and AgMIP Modeling Scenarios.
Agric For Meteorol
; 259: 329-344, 2018 Sep 15.
Article
in English
| MEDLINE | ID: mdl-30880854
10.
Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments.
Clim Res
; 76(1): 17-39, 2018.
Article
in English
| MEDLINE | ID: mdl-33154611
11.
A potato model intercomparison across varying climates and productivity levels.
Glob Chang Biol
; 23(3): 1258-1281, 2017 03.
Article
in English
| MEDLINE | ID: mdl-27387228
12.
Assessing agricultural risks of climate change in the 21st century in a global gridded crop model intercomparison.
Proc Natl Acad Sci U S A
; 111(9): 3268-73, 2014 Mar 04.
Article
in English
| MEDLINE | ID: mdl-24344314
13.
Constraints and potentials of future irrigation water availability on agricultural production under climate change.
Proc Natl Acad Sci U S A
; 111(9): 3239-44, 2014 Mar 04.
Article
in English
| MEDLINE | ID: mdl-24344283
14.
Multisectoral climate impact hotspots in a warming world.
Proc Natl Acad Sci U S A
; 111(9): 3233-8, 2014 Mar 04.
Article
in English
| MEDLINE | ID: mdl-24344270
15.
Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions.
Glob Chang Biol
; 21(3): 1328-41, 2015 Mar.
Article
in English
| MEDLINE | ID: mdl-25294087
16.
Multimodel ensembles of wheat growth: many models are better than one.
Glob Chang Biol
; 21(2): 911-25, 2015 Feb.
Article
in English
| MEDLINE | ID: mdl-25330243
17.
Carbon-temperature-water change analysis for peanut production under climate change: a prototype for the AgMIP coordinated climate-crop modeling project (C3MP).
Glob Chang Biol
; 20(2): 394-407, 2014 Feb.
Article
in English
| MEDLINE | ID: mdl-24115520
18.
How do various maize crop models vary in their responses to climate change factors?
Glob Chang Biol
; 20(7): 2301-20, 2014 Jul.
Article
in English
| MEDLINE | ID: mdl-24395589
19.
Projected climate impacts to South African maize and wheat production in 2055: a comparison of empirical and mechanistic modeling approaches.
Glob Chang Biol
; 19(12): 3762-74, 2013 Dec.
Article
in English
| MEDLINE | ID: mdl-23864352
20.
The drivers and impacts of Amazon forest degradation.
Science
; 379(6630): eabp8622, 2023 01 27.
Article
in English
| MEDLINE | ID: mdl-36701452