Dynamic global vegetation models

Iain Colin Prentice; Sharon A. Cowling

doi:10.1016/B978-0-12-384719-5.00412-3

Dynamic global vegetation models

Iain Colin Prentice, Sharon A. Cowling

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

42 Citations (Scopus)

Abstract

Dynamic global vegetation models encapsulate our knowledge of plant and ecosystem function. They have many potential applications but not all of these are well developed, and large differences among model predictions are a concern. Fields of application include analysis of land–atmosphere biophysical interactions, carbon and water cycling, climate impacts on vegetation structure, fire, atmospheric trace gas composition, Quaternary vegetation and environmental changes, and ecosystem structure and function through Earth history. There is scope to improve models using a wider range of information from plant functional ecology, ecophysiology, environmental remote sensing, and atmospheric measurement, Quaternary paleoecology, and paleobotany.

Original language	English
Title of host publication	Encyclopedia of biodiversity
Editors	Simon A Levin
Place of Publication	Amsterdam
Publisher	Elsevier
Pages	670-689
Number of pages	20
Edition	2nd
ISBN (Print)	9780123847195
DOIs	https://doi.org/10.1016/B978-0-12-384719-5.00412-3
Publication status	Published - 2013

Keywords

Ancient ecosystems
Biosphere
Hydrological cycle
Land–atmosphere interactions
Paleoecology
Plant functional types
Remote sensing
Carbon cycle
Carbon dioxide
Climate change
Dynamic global vegetation model
Earth system model
Ecophysiology
Feedbacks
Fire

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title = "Dynamic global vegetation models",

abstract = "Dynamic global vegetation models encapsulate our knowledge of plant and ecosystem function. They have many potential applications but not all of these are well developed, and large differences among model predictions are a concern. Fields of application include analysis of land–atmosphere biophysical interactions, carbon and water cycling, climate impacts on vegetation structure, fire, atmospheric trace gas composition, Quaternary vegetation and environmental changes, and ecosystem structure and function through Earth history. There is scope to improve models using a wider range of information from plant functional ecology, ecophysiology, environmental remote sensing, and atmospheric measurement, Quaternary paleoecology, and paleobotany.",

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year = "2013",

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AU - Cowling, Sharon A.

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AB - Dynamic global vegetation models encapsulate our knowledge of plant and ecosystem function. They have many potential applications but not all of these are well developed, and large differences among model predictions are a concern. Fields of application include analysis of land–atmosphere biophysical interactions, carbon and water cycling, climate impacts on vegetation structure, fire, atmospheric trace gas composition, Quaternary vegetation and environmental changes, and ecosystem structure and function through Earth history. There is scope to improve models using a wider range of information from plant functional ecology, ecophysiology, environmental remote sensing, and atmospheric measurement, Quaternary paleoecology, and paleobotany.

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KW - Biosphere

KW - Hydrological cycle

KW - Land–atmosphere interactions

KW - Paleoecology

KW - Plant functional types

KW - Remote sensing

KW - Carbon cycle

KW - Carbon dioxide

KW - Climate change

KW - Dynamic global vegetation model

KW - Earth system model

KW - Ecophysiology

KW - Feedbacks

KW - Fire

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SP - 670

EP - 689

BT - Encyclopedia of biodiversity

A2 - Levin, Simon A

PB - Elsevier

CY - Amsterdam

ER -

Dynamic global vegetation models

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Keywords

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