Climate change impacts on crop yields

EE Rezaei, H Webber, S Asseng, K Boote… - Nature Reviews Earth & …, 2023 - nature.com
Climate change challenges efforts to maintain and improve crop production in many regions.
In this Review, we examine yield responses to warmer temperatures, elevated carbon …

Pedotransfer functions in Earth system science: Challenges and perspectives

K Van Looy, J Bouma, M Herbst, J Koestel… - Reviews of …, 2017 - Wiley Online Library
Soil, through its various functions, plays a vital role in the Earth's ecosystems and provides
multiple ecosystem services to humanity. Pedotransfer functions (PTFs) are simple to …

[HTML][HTML] Intra-annual reflectance composites from Sentinel-2 and Landsat for national-scale crop and land cover mapping

P Griffiths, C Nendel, P Hostert - Remote sensing of environment, 2019 - Elsevier
Many applications that target dynamic land surface processes require a temporal
observation frequency that is not easily satisfied using data from a single optical sensor …

Towards a multiscale crop modelling framework for climate change adaptation assessment

B Peng, K Guan, J Tang, EA Ainsworth, S Asseng… - Nature plants, 2020 - nature.com
Predicting the consequences of manipulating genotype (G) and agronomic management (M)
on agricultural ecosystem performances under future environmental (E) conditions remains …

Contribution of crop models to adaptation in wheat

K Chenu, JR Porter, P Martre, B Basso… - Trends in plant …, 2017 - cell.com
With world population growing quickly, agriculture needs to produce more with fewer inputs
while being environmentally friendly. In a context of changing environments, crop models …

Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices

A Kern, Z Barcza, H Marjanović, T Árendás… - Agricultural and forest …, 2018 - Elsevier
In the present study, multiple linear regression models were constructed to simulate the yield
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …

A review of methods to evaluate crop model performance at multiple and changing spatial scales

D Pasquel, S Roux, J Richetti, D Cammarano… - Precision …, 2022 - Springer
Crop models are useful tools because they can help understand many complex processes
by simulating them. They are mainly designed at a specific spatial scale, the field. But with …

[HTML][HTML] Improving the use of crop models for risk assessment and climate change adaptation

AJ Challinor, C Müller, S Asseng, C Deva, KJ Nicklin… - Agricultural systems, 2018 - Elsevier
Crop models are used for an increasingly broad range of applications, with a commensurate
proliferation of methods. Careful framing of research questions and development of targeted …

Crop yield prediction in cotton for regional level using random forest approach

NR Prasad, NR Patel, A Danodia - spatial information research, 2021 - Springer
Early and precise estimation of crop yield plays a crucial role in quantitative and financial
assessment at field level, to lay down strategic plans for import–export policies for …

Pathways to identify and reduce uncertainties in agricultural climate impact assessments

B Wang, J Jägermeyr, GJ O'Leary, D Wallach… - Nature Food, 2024 - nature.com
Both climate and impact models are essential for understanding and quantifying the impact
of climate change on agricultural productivity. Multi-model ensembles have highlighted …