Next-generation dynamic global vegetation models: learning from community ecology.

By Simon Scheiter, Liam Langan, Steven Higgins. New Phytologist, 2013

495 citations recorded by the source corpus.

Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/6885dc4a8b1bf34d2143bb211d4bda77725a9510

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In Ecological Modeling

In Ecology, Evolution, Behavior and Systematics

In Nature and Landscape Conservation

Citations in the corpus

Effects of climate extremes on the terrestrial carbon cycle: concepts, processes and potential future impacts (2015, background): “Modelling approaches accounting for these adaptations urgently need to be underpinned with more observational data and further developed (Scheiter et al., 2013).”
Biological and geophysical feedbacks with fire in the Earth system (2018, background): “New developments in dynamic global vegetation models (DGVMs) are trying to account for these interactions (Scheiter et al 2013).”
Defining trait-based microbial strategies with consequences for soil carbon cycling under climate change (2018, background): “, 2004), trait-based approaches are emerging in vegetation modelling as a paradigm shift from approaches based on aggregated plant functional types (Scheiter et al., 2013).”
Vegetation demographics in Earth System Models: A review of progress and priorities (2018, background): “The details of how these issues are resolved control the nature of the feedback between plant size and light acquisition, and thus are a pivotal component of any trait-filtering architecture (Fisher et al., 2010; Scheiter et al., 2012).”
Scaling from individual trees to forests in an Earth system modeling framework using a mathematically tractable model of height-structured competition (2015, methodology): “is recognized as a key feature of nextgeneration DGVMs that aim to represent plant functional diversity (both within and between model grid cells) more accurately than the current suite of models (Scheiter et al., 2013; Wullschleger et al., 2014).”
Climate change vulnerability assessment of species (2018, background): “Some authors have begun to use Dynamic Global Vegetation Models (e.g., Cramer et al., 2001; Scheiter & Higgins, 2009; Scheiter, Langan, & Higgins, 2013) to estimate future vegetation changes (e.g., Blanco et al., 2014; Case & Lawler, 2017; Talluto et al., 2016; Thuiller et al., 2006).”
Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems (2020, background): “…of many generations (or to take the optimisation of plant fitness in the presence of competition properly into account) would require demographic models to be embedded within representations of trait evolution (including mutation and selection), per (Falster et al., 2017; Scheiter et al., 2013).”