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Iain Colin Prentice

Researcher at Imperial College London

Publications -  220
Citations -  37791

Iain Colin Prentice is an academic researcher from Imperial College London. The author has contributed to research in topics: Climate change & Vegetation. The author has an hindex of 81, co-authored 199 publications receiving 34116 citations. Previous affiliations of Iain Colin Prentice include University of Southampton & Max Planck Society.

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Journal ArticleDOI

Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model

TL;DR: The LPJ model as mentioned in this paper combines process-based, large-scale representations of terrestrial vegetation dynamics and land-atmosphere carbon and water exchanges in a modular framework, including feedback through canopy conductance between photosynthesis and transpiration and interactive coupling between these 'fast' processes and other ecosystem processes.
Book ChapterDOI

A Theory of Gradient Analysis

TL;DR: In this article, the authors present a theory of gradient analysis, in which the heuristic techniques are integrated with regression, calibration, ordination and constrained ordination as distinct, well-defined statistical problems.
Journal ArticleDOI

Climate change threats to plant diversity in Europe.

TL;DR: Risks of extinction for European plants may be large, even in moderate scenarios of climate change and despite inter-model variability, according to application of International Union for Conservation of Nature and Natural Resources Red List criteria.
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TRY - a global database of plant traits

Jens Kattge, +136 more
TL;DR: TRY as discussed by the authors is a global database of plant traits, including morphological, anatomical, physiological, biochemical and phenological characteristics of plants and their organs, which can be used for a wide range of research from evolutionary biology, community and functional ecology to biogeography.
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Beyond Predictions: Biodiversity Conservation in a Changing Climate

TL;DR: This work introduces a framework that uses information from different sources to identify vulnerability and to support the design of conservation responses, and reviews the insights that different approaches bring to anticipating and managing the biodiversity consequences of climate change.