Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 236

The DOI matches its Crossref record.

Primary Production in Terrestrial Ecosystems

Open access
WOODWELL, GEORGE M., WHITTAKER, ROBERT H.·1968·American Zoologist

Abstract

“Primary production” refers to energy fixed by plants. The total amount of energy fixed is usually called “gross production.” A certain fraction of gross production is used in respiration by the plants; the remainder appears as new biomass or “net primary production.” Thus for a single plant or a community of green plants: Net Primary Production = Gross Production − Respiration (of Autotrophs) Similar relationships occur in ecosystems except that the organic matter and respiration of heterotrophs must be included. The increase in total organic matter is “net ecosystem production”; respiration is the total respiration of the green plants (autotrophs) and the animal community and decay organisms (heterotrophs). Gross production is of course identical to that of the plant community. Thus for an ecosystem: Net Ecosystem Production = Gross Production − Respiration (of Autotrophs and Heterotrophs) Study of these attributes of terrestrial ecosystems is difficult, both because of the complex interrelations of the processes involved, and because of the problems of working with systems as large as whole forests. Three approaches are in use: (1) Harvest techniques measure weight increase (and caloric equivalent and chemical composition) of net production. A refinement ot this approach based on “dimension analysis” has made possible important recent advances in the study of forests. Other techniques approach gross production and respiration through measurement of exchange of gases, especially CO2. These include: (2) Enclosure studies, involving measurements of CO2 exchange in plastic enclosures of parts of ecosystems and (3) Flux techniques based on measurement of CO2 levels in the environment. All three approaches are being applied to a forest at Brookhaven National Laboratory to determine the production equation of this ecosystem. Results to date have established general ranges of such parameters of ecosystems as total biomass, total surface area of leaves and of stems and branches, rates of decay of organic matter in soils, rates of production of roots, and rates of photosynthesis and respiration under different environmental conditions. In the Brookhaven forest net primary production is 1124 dry g/m2/yr (with an energy equivalent of 492 cal/cm2/yr), and gross production is about 2550 dry g/m2/yr; the producers or green plants thus respire 56% of their gross production. Net ecosystem production is 422 dry g/m2/yr in this young forest. The ratio of total respiration to gross production is a convenient expression of successional status; a value of 0.82 for the Brookhaven forest indicates that this is a late successional community, but not in steady-state or climax condition (1.0). A leaf surface area of 3.8 m2 per m2 of ground surface intercepts sunlight energy, and the ratio of net primary production to incident visible sunlight energy gives a net efficiency of primary production of 0.0088. These and other functional characteristics of ecosystems are currently important topics of research—involving understanding of communities as biological systems, evaluation of the potential of environments to support life and man's harvest; and understanding of the fundamental meaning and consequences of man's alteration, exploitation, and pollution of ecosystems.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/icb/8.1.19

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 236

Metadata

Authors
WOODWELL, G. M., & WHITTAKER, R. H.
Venue
American Zoologist
Published
1968-02
Volume
8
Issue
1
Pages
19-30
ISSN
0003-1569 (ISSN-L)
OpenAlex
W2003592637
Cited by
236
References
0
FWCI
6.93
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Primary Production in Terrestrial Ecosystems. https://app.cochat.ai/papers/10.1093/icb/8.1.19
The paper
WOODWELL, G. M., & WHITTAKER, R. H. (1968). Primary Production in Terrestrial Ecosystems. American Zoologist. https://doi.org/10.1093/icb/8.1.19

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.