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I. Colin Prentice
Researcher at Lund University
Publications - 38
Citations - 9806
I. Colin Prentice is an academic researcher from Lund University. The author has contributed to research in topics: Vegetation & Climate change. The author has an hindex of 29, co-authored 37 publications receiving 9455 citations. Previous affiliations of I. Colin Prentice include Max Planck Society & Uppsala University.
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Journal ArticleDOI
A global biome model based on plant physiology and dominance, soil properties and climate
I. Colin Prentice,Wolfgang Cramer,Sandy P. Harrison,Rik Leemans,Robert A. Monserud,Allen M. Solomon +5 more
TL;DR: A model to predict global patterns in vegetation physiognomy was developed from physiological considera- tions influencing the distributions of different functional types of plant in a given environment, and selected the potentially dominant types from among them as discussed by the authors.
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An integrated biosphere model of land surface processes, terrestrial carbon balance, and vegetation dynamics
Jonathan A. Foley,I. Colin Prentice,Navin Ramankutty,Samuel Levis,David Pollard,Steven Sitch,Alex Haxeltine +6 more
TL;DR: The Integrated Biosphere Simulator (IBIS) as mentioned in this paper is a terrestrial biosphere model that integrates a wide range of biophysical, physiological, and ecological processes in a single, physically consistent modeling framework.
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BIOME3: An equilibrium terrestrial biosphere model based on ecophysiological constraints, resource availability, and competition among plant functional types
Alex Haxeltine,I. Colin Prentice +1 more
TL;DR: In this article, a coupled carbon and water flux model is used to calculate, for each PFT, the leaf area index (LAI) that maximizes net primary production (NPP), subject to the constraint that NPP must be sufficient to maintain this LAI.
Journal ArticleDOI
Representation of vegetation dynamics in the modelling of terrestrial ecosystems: comparing two contrasting approaches within European climate space
TL;DR: Two models representing contrasting degrees of abstraction of the processes governing dynamics in real vegetation are compared, suggesting that an explicit individual-based approach to vegetation dynamics may be an advantage in modelling of ecosystem structure and function at the resolution required for regional- to continental-scale studies.
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Reconstructing biomes from palaeoecological data: a general method and its application to European pollen data at 0 and 6 ka
TL;DR: In this article, a method for the objective biomization of pollen samples based on fuzzy logic is described, where the pollen sample is assigned to the biome to which it has the highest affinity subject to a tie-breaking rule.