Vegetation demographics in Earth System Models: A review of progress and priorities
By R. Fisher, C. Koven, William R. L. Anderegg, B. Christoffersen, M. Dietze, C. Farrior, Jennifer A. Holm, G. Hurtt, R. Knox, P. Lawrence and 18 more. Global Change Biology, 2018
639 citations recorded by the source corpus.
Subfields: Ecological Modeling, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/23ec2258cc05fa98104a8c531cf93bca0054000a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
In Global and Planetary Change
- R. B. Jackson
- Barbara C. Schmid
- Philippe Ciais
- Scott J. Goetz
- Michael E. Schaepman
- Christopher B. Field
- David A. Coomes
- William R. L. Anderegg
In Nature and Landscape Conservation
- Barbara C. Schmid
- R. B. Jackson
- Felix Morsdorf
- David A. Coomes
- N. Stephenson
- S. Pacala
- Adrian J. Das
- M. Scherer‐Lorenzen
Citations in the corpus
- Climate-driven risks to the climate mitigation potential of forests (2020, background): “Although forest demographic processes are important for forecasting the permanence of forest carbon, representations of forest demography remain highly uncertain and are not widely included in large-scale vegetation models (110, 113, 114).”
- Which trees die during drought? The key role of insect host‐tree selection (2019, background): “The continuum represented in Figure 1 helps highlight questions relevant to modelling and forecasting the effects of climatic changes on forests (Fisher et al., 2018; Hartmann et al., 2018; McDowell et al., 2011; McDowell, Fisher, et al., 2013).”
- Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R-CNN (2023, background): “Forecasting the future of tropical forests is challenging because little is known about the ways different species will respond to changing climate, or the resilience provided by that diversity (Fisher et al., 2018; Gallup et al., 2021; Koven et al., 2020; Restrepo-Coupe et al., 2021).”
- Mapping functional diversity using individual tree-based morphological and physiological traits in a subtropical forest (2021, background): “able biases due to subjective interpretation or different measurement techniques and might improve individual-based ecological models (Fisher et al., 2018).”