D. Makowski

Revealing the spatial characteristics of rice heat exposure in Japan through panicle temperature analysis

This study analyzes panicle temperature trends in Japan over 45 years to assess rice heat exposure and its implications for breeding and crop management.

Effectiveness of heat tolerance rice cultivars in preserving grain appearance quality under high temperatures - A meta-analysis

This meta-analysis quantifies how heat-tolerant rice cultivars reduce chalky grain percentage under high temperatures, showing a 66% point increase in CG for low HTR cultivars with rising TaHD.

A global dataset for the projected impacts of climate change on four major crops

The paper compiles a global dataset of climate change impacts on four crops using existing studies and new literature, providing yield projections under different emission scenarios.

Data-driven yield projections suggest large opportunities to improve Europe's soybean self-sufficiency under climate change

The paper uses machine learning to project soybean yields in Europe under different climate scenarios, suggesting increased self-sufficiency is possible with expanded cropland.

Positive but variable effects of crop diversification on biodiversity and ecosystem services

This study synthesizes global experimental data to show crop diversification improves biodiversity and ecosystem services, but effectiveness varies by strategy.

Standardizing carabid pitfall catches for trapping effort; a meta-analysis

This paper standardizes carabid beetle pitfall trap catches for trapping effort through a meta-analysis, showing that power transformations can standardize activity-density and diversity across studies.

A global map of root biomass across the world's forests

The paper creates a high-resolution global root biomass map using field measurements and environmental data, finding lower root biomass than previous studies due to improved methods and data.

Spatiotemporal drivers of crop pests and pathogens abundance at the landscape scale

This study examines how landscape composition affects crop pest and pathogen abundance over time, finding that landscape simplification may increase risks in the following growing season rather than the current one.