The optimization of model ensemble composition and size can enhance the robustness of crop yield projections
Abstract Linked climate and crop simulation models are widely used to assess the impact of climate change on agriculture. However, it is unclear how ensemble configurations (model composition and size) influence crop yield projections and uncertainty. Here, we investigate the influences of ensemble...
Main Authors: | Linchao Li, Bin Wang, Puyu Feng, Jonas Jägermeyr, Senthold Asseng, Christoph Müller, Ian Macadam, De Li Liu, Cathy Waters, Yajie Zhang, Qinsi He, Yu Shi, Shang Chen, Xiaowei Guo, Yi Li, Jianqiang He, Hao Feng, Guijun Yang, Hanqin Tian, Qiang Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-10-01
|
Series: | Communications Earth & Environment |
Online Access: | https://doi.org/10.1038/s43247-023-01016-9 |
Similar Items
-
Global crop yields can be lifted by timely adaptation of growing periods to climate change
by: Sara Minoli, et al.
Published: (2022-11-01) -
Comparing estimates of climate change impacts from process-based and statistical crop models
by: David B Lobell, et al.
Published: (2017-01-01) -
Adaptation of the SIMPLE Model to Oilseed Flax (<i>Linum usitatissimum</i> L.) for Arid and Semi-Arid Environments
by: Yue Li, et al.
Published: (2022-05-01) -
Influences of increasing temperature on Indian wheat: quantifying limits to predictability
by: Ann-Kristin Koehler, et al.
Published: (2013-01-01) -
Projecting Changes in Temperature Extremes in the Han River Basin of China Using Downscaled CMIP5 Multi-Model Ensembles
by: Weiwei Xiao, et al.
Published: (2020-04-01)