Climate change impacts on agriculture

How important is the intra-regional soil heterogeneity for the design of future stress-avoidant wheat ideotypes? A modeling study in central France

This study shows that soil water capacity significantly affects wheat yield and adaptation to climate change, emphasizing the need for soil-specific breeding strategies.

Bridging human and plant adaptations for climate resilience

This study examines how farmers' climate adaptation strategies align with plant plasticity and bet-hedging, showing complementary roles in supporting yield stability under different climate scenarios.

Reduced nutritional quality of plants due to climate change

This study analyzes how climate change affects plant nutritional quality using a global dataset, finding declines in protein, minerals, and digestibility by 2050, with regional variations.

Structural financial ambiguity in climate-smart agriculture research: A bibliometric analysis of African knowledge systems

This paper analyzes climate-smart agriculture research in Africa using bibliometric methods, revealing gaps in financial analysis and structural ambiguity in the field.

Night temperature determines nearly half of wheat yield variation globally

The paper examines the impact of minimum night temperatures on wheat yield variation globally, finding that Tmin explains 40-52% of yield variation, with a 1°C increase reducing yield by ~0.5 t/ha.

Evaluating crop models for future climate scenarios: wheat yield predictions using APSIM and STICS under combined CO2, warming, and water deficit conditions

This study evaluates wheat yield predictions under combined CO2, warming, and water deficit conditions using APSIM and STICS models, finding significant prediction errors under combined stress.

Pathogen and pest communities in agroecosystems across climate gradients: Anticipating future challenges in the highland tropics

The paper assesses the geographic risk of 27 pathogens and pests for four crops in the Great Lakes region under current and future climate conditions using machine learning models.

Spatial probabilistic patterns of joint heat and water stress of chickpea in Australia

The paper assesses climate factors' associations with chickpea yield and identifies spatial probabilistic patterns of heat and water stress in Australia, showing increased stress frequency with climate change.

Distance to future climate analogues reveals refugia for agricultural adaptation

The paper identifies agricultural regions with closer future climate analogues, suggesting they may serve as refugia for agrobiodiversity.

Climate-Driven Ecosystem Productivity Changes Restructure Food Systems

This study isolates climate-driven ecosystem productivity changes and shows they shift crop use to animal feed and bioenergy, and reorganize food systems across different socioeconomic scenarios.

Optimization of Crop Rotation Calendar to Maximize System-Level Productivity under Climate Change

This paper develops a computational method to optimize crop rotation calendars under climate change, finding that adjusting sowing dates and rotation orders increases system-level productivity by 0.5% annually under high warming scenarios.

Explainable AI shows climate impacts on wheat yields: insights from 30 years of field data.

The paper uses XAI and IML methods on 30 years of wheat yield data to identify climate variables affecting yields and their interactions with genotype.

Identifying gaps between scientific and local knowledge in climate change adaptation for northern European agriculture

This study compares scientific and local knowledge on climate change adaptation in Swedish agriculture, identifying gaps in long-term strategies and highlighting the need for integrated approaches.

Estimating the changing risks of low crop yield using non-stationary generalized Pareto distributions

This study uses non-stationary generalized Pareto distributions to estimate changing risks of low crop yield across multiple crops and regions, showing exacerbated trends in several areas and mitigation in Japan for wheat.

Maladaptation in cereal crop landraces following a soot-producing climate catastrophe

This study assesses how landraces of four cereal crops would maladapt to soot-induced climate changes following a global catastrophe using climate models and genomic data.

Climate change and the thermal performance of a high protein food source: Wolffia globosa

This study examines how climate change affects the growth of Wolffia globosa, finding that while current and projected temperatures do not significantly impact growth, extreme heat events reduce growth rates due to increased frond death.

Sunflower yield modeling with XAI: Historical weather impacts and forecasting

This study uses XAI to model sunflower yield impacts from historical weather data, identifying key climate variables and forecasting future yields under different climate scenarios.

Crop improvement can accelerate agriculture adaptation to societal demands and climate change.

The paper shows that maize breeding in the US corn-belt has increased genetic gain over time, adapting to climate change and improving yield despite environmental changes.

Software for agriculture climate risk management focused in smallholders

The paper presents a software tool for climate risk management in agriculture, showing changes in risk zones for specific crops under climate change scenarios.