ReviewNature plants2020
Organizing principles for vegetation dynamics.
Review in Nature plants, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
51 citing papers in PubMed.
- Global patterns of CThe New phytologist · 2026Article
- Optimal canopy light-use strategy shapes global greenness dynamics.Nature communications · 2026Article
- Facing a harsh climate: terrestrial plant functional strategies in a changing world.National science review · 2026Article
- Impacts of Atmospheric and Soil Droughts on Carbon and Water Fluxes in Northern European Coniferous Forests: Evidence From Eddy-Covariance Data.Global change biology · 2026Article
- Widespread controls of precipitation sensitivity on drought recovery of global forests.Nature communications · 2026Article
- Leaf temperature and its departure from ambient air temperature.Nature plants · 2026Review
- Differentiable land model reveals global environmental controls on latent ecological functions.Nature communications · 2026Article
- Distal to proximal: a continuum of drivers shaping tree growth and carbon partitioning.The New phytologist · 2026Review
- Adaptive Strategies Mediating the Diversification of Alpine Plants: The Case of the Himalayan Blue Poppy (Plants (Basel, Switzerland) · 2025Article
- Not Extremely Plastic: Testing the Limits of Morphological Plasticity in Fungal Mycelia in Response to Soil Grazers.Ecology letters · 2025Article
- Loss of vegetation functions during the Paleocene-Eocene Thermal Maximum.Nature communications · 2025Article
- Global Assessment of Environmental and Plant-Trait Influences on Root: Shoot Biomass Ratios.Global change biology · 2025Article
- The weak land carbon sink hypothesis.Science advances · 2025Review
- Temporal constraints on leaf-level trait plasticity for next-generation land surface models.Annals of botany · 2025Review
- Limitation of Maize Potential Yield by Phosphorus at the Global Scale.Global change biology · 2025Article
- Spatial and temporal scale-dependent feedbacks govern dynamics of biocrusts in drylands.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Floral diversity, structural integrity, and regeneration patterns of Endba-Zend dry Afromontane forest in Northwestern Ethiopia.BMC ecology and evolution · 2025Article
- The Response of Carbon Uptake to Soil Moisture Stress: Adaptation to Climatic Aridity.Global change biology · 2025Article
- Trait variation across different life history stages of trees and its impact on net photosynthetic rate.Frontiers in plant science · 2025Article
- Generalized Stomatal Optimization of Evolutionary Fitness Proxies for Predicting Plant Gas Exchange Under Drought, Heatwaves, and Elevated COGlobal change biology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
29 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plants and vegetation play a critical-but largely unpredictable-role in global environmental changes due to the multitude of contributing processes at widely different spatial and temporal scales. In this Perspective, we explore approaches to master this complexity and improve our ability to predict vegetation dynamics by explicitly taking account of principles that constrain plant and ecosystem behaviour: natural selection, self-organization and entropy maximization. These ideas are increasingly being used in vegetation models, but we argue that their full potential has yet to be realized. We demonstrate the power of natural selection-based optimality principles to predict photosynthetic and carbon allocation responses to multiple environmental drivers, as well as how individual plasticity leads to the predictable self-organization of forest canopies. We show how models of natural selection acting on a few key traits can generate realistic plant communities and how entropy maximization can identify the most probable outcomes of community dynamics in space- and time-varying environments. Finally, we present a roadmap indicating how these principles could be combined in a new generation of models with stronger theoretical foundations and an improved capacity to predict complex vegetation responses to environmental change.
Indexed as
Identifiers
32393882What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.