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Showing 1–7 of 7 results
Advanced filters: Author: Benjamin Dechant Clear advanced filters
  • Analysis of the FLUXNET2015 dataset provides observational evidence for widespread thermal acclimation of canopy-scale photosynthesis and its timescales across diverse biomes, improving its representation in land surface models.

    • Jiangong Liu
    • Youngryel Ryu
    • Iain Colin Prentice
    ResearchOpen Access
    Nature Plants
    Volume: 10, P: 1919-1927
  • Integrating remote sensing and eco-evolutionary theory, this study explains 80–84% of photosynthetic efficiency variation across ecosystems by incorporating plant traits such as chlorophyll and leaf longevity with climate data, highlighting the importance of these traits for global carbon modelling.

    • Yulin Yan
    • Bolun Li
    • Jing M. Chen
    Research
    Nature Plants
    Volume: 11, P: 924-934
  • Data from a variety of sources—including satellite, climate and soil data, as well as field-collected information on plant traits—are pooled and analysed to map the functional diversity of tropical forest canopies globally.

    • Jesús Aguirre-Gutiérrez
    • Sami W. Rifai
    • Yadvinder Malhi
    ResearchOpen Access
    Nature
    Volume: 641, P: 129-136
  • Global patterns and trends in primary production are estimated using remote-sensing-based models. This Perspective outlines ways to ensure that the next generation of model predictions robustly characterizes how this key element of the terrestrial carbon cycle is changing.

    • I. Colin Prentice
    • Manuela Balzarolo
    • Roel van Hoolst
    Reviews
    Nature Reviews Earth & Environment
    Volume: 5, P: 818-832
  • Vegetation dynamics can be tracked using remotely sensed vegetation indices, but these metrics can result in conflicting conclusions. This Technical Review details the history, application and potential pitfalls associated with vegetation indices and makes recommendations for their best use.

    • Yelu Zeng
    • Dalei Hao
    • Min Chen
    Reviews
    Nature Reviews Earth & Environment
    Volume: 3, P: 477-493