Pierre Martre

Biographic Data

ID6819230
NAMEPierre Martre
GIVEN NAMESPierre
FAMILY NAMEMartre
SIGNATUREMARTRE P
AFFILIATIONSUniversité de Montpellier
ORCID0000-0002-7419-6558
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS0
AUTHOR COUNT8
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Transdisciplinary coordination is essential for advancing agricultural modeling with machine learning

    Open AccessLily‐belle Sweet, Ioannis N Athanasiadis et al.ARTICLEOne Earth2025

    Publisher of over 50 scientific journals across the life, physical, earth, and health sciences, both independently and in partnership with scientific societies including Cell, Neuron, Immunity, Current Biology, AJHG, and the Trends Journals

  • Crop models for future food systems

    Open AccessRogério de Souza Nóia Júnior, Rogério de S Nóia-Júnior et al.ARTICLEOne Earth2025

  • Wheat breeding trials will lose climate relevance in Europe

    Open AccessRogério de Souza Nóia Júnior, Loic Manceau et al.ARTICLEEnvironmental Research Letters2025

    Europe is a major wheat producer, but rising frequencies of drought and heatwaves increasingly threaten yields. To support breeding strategies aligned with future climatic challenges, we identified current European environments that are analogous to projected future drought and heat stress conditions in major wheat-growing regions. Using gridded crop model simulations with historical and future climate data from an ensemble of five global circula…

  • Evidence for increasing global wheat yield potential

    Open AccessJose Rafael Guarin, Pierre Martre et al.ARTICLEEnvironmental Research Letters2022

    Wheat is the most widely grown food crop, with 761 Mt produced globally in 2020. To meet the expected grain demand by mid-century, wheat breeding strategies must continue to improve upon yield-advancing physiological traits, regardless of climate change impacts. Here, the best performing doubled haploid (DH) crosses with an increased canopy photosynthesis from wheat field experiments in the literature were extrapolated to the global scale with a …

  • Extreme lows of wheat production in Brazil

    Open AccessRogério de Souza Nóia Júnior, Pierre Martre et al.ARTICLEEnvironmental Research Letters2021

    Wheat production in Brazil is insufficient to meet domestic demand and falls drastically in response to adverse climate events. Multiple, agro-climate-specific regression models, quantifying regional production variability, were combined to estimate national production based on past climate, cropping area, trend-corrected yield, and national commodity prices. Projections with five CMIP6 climate change models suggest extremes of low wheat producti…

  • Methodology to assess the changing risk of yield failure due to heat and drought stress under climate change

    Open AccessTommaso Stella, Heidi Webber et al.ARTICLEEnvironmental Research Letters2021

    While the understanding of average impacts of climate change on crop yields is improving, few assessments have quantified expected impacts on yield distributions and the risk of yield failures. Here we present the relative distribution as a method to assess how the risk of yield failure due to heat and drought stress (measured in terms of return period between yields falling 15% below previous five year Olympic average yield) responds to changes …

  • Temperature increase reduces global yields of major crops in four independent estimates

    Open AccessChuang Zhao, Bing Liu et al.ARTICLEProceedings of the National…2017

    Significance Agricultural production is vulnerable to climate change. Understanding climate change, especially the temperature impacts, is critical if policymakers, agriculturalists, and crop breeders are to ensure global food security. Our study, by compiling extensive published results from four analytical methods, shows that independent methods consistently estimated negative temperature impacts on yields of four major crops at the global scal…

  • An AgMIP framework for improved agricultural representation in integrated assessment models

    Open AccessAlex C Ruane, Cynthia Rosenzweig et al.ARTICLEEnvironmental Research Letters2017

    Integrated assessment models (IAMs) hold great potential to assess how future agricultural systems will be shaped by socioeconomic development, technological innovation, and changing climate conditions. By coupling with climate and crop model emulators, IAMs have the potential to resolve important agricultural feedback loops and identify unintended consequences of socioeconomic development for agricultural systems. Here we propose a framework to …