Using ecosystem models to predict regional CO 2 exchange between the atmosphere and the terrestrial biosphere

Using ecosystem models to predict regional CO 2 exchange between the atmosphere and the... Ecologically sound models of the terrestrial biosphere are needed in the investigation of the Earth system and global change. Traditional ecosystem models simulate many processes and dynamics relevant to the functioning of the Earth system, but their application is limited by their local, small‐scale, often site‐specific nature. We address this limitation by deriving a method for predicting regional biosphere dynamics by extrapolation from smaller‐scale ecosystem models. We use models of local ecosystem carbon dynamics to predict the seasonal exchange of CO2 between the atmosphere and terrestrial ecosystems of 64°N to 90°N latitude. Monte Carlo simulation is used to integrate solutions of a tundra model and a coniferous forest model across within‐biome heterogeneity in the models' climatic driving variables. The product of the expected value of each model's output and the area of the region occupied by that biome or ecosystem type is an estimate of biome‐scale CO2 exchange. Regional CO2 exchange is the sum of the biome exchanges. Comparisons of the extrapolation's results with independent estimates of seasonal CO2 exchange and annual net primary production support the proposition that extrapolation of ecosystem models can be used to simulate regional biosphere dynamics. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Global Biogeochemical Cycles Wiley

Using ecosystem models to predict regional CO 2 exchange between the atmosphere and the terrestrial biosphere

Loading next page...
 
/lp/wiley/using-ecosystem-models-to-predict-regional-co-2-exchange-between-the-StarmmxJBh
Publisher
Wiley
Copyright
Copyright © 1989 by the American Geophysical Union.
ISSN
0886-6236
eISSN
1944-9224
D.O.I.
10.1029/GB003i004p00337
Publisher site
See Article on Publisher Site

Abstract

Ecologically sound models of the terrestrial biosphere are needed in the investigation of the Earth system and global change. Traditional ecosystem models simulate many processes and dynamics relevant to the functioning of the Earth system, but their application is limited by their local, small‐scale, often site‐specific nature. We address this limitation by deriving a method for predicting regional biosphere dynamics by extrapolation from smaller‐scale ecosystem models. We use models of local ecosystem carbon dynamics to predict the seasonal exchange of CO2 between the atmosphere and terrestrial ecosystems of 64°N to 90°N latitude. Monte Carlo simulation is used to integrate solutions of a tundra model and a coniferous forest model across within‐biome heterogeneity in the models' climatic driving variables. The product of the expected value of each model's output and the area of the region occupied by that biome or ecosystem type is an estimate of biome‐scale CO2 exchange. Regional CO2 exchange is the sum of the biome exchanges. Comparisons of the extrapolation's results with independent estimates of seasonal CO2 exchange and annual net primary production support the proposition that extrapolation of ecosystem models can be used to simulate regional biosphere dynamics.

Journal

Global Biogeochemical CyclesWiley

Published: Dec 1, 1989

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create folders to
organize your research

Export folders, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off