Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 620

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Application of the fire–grazing interaction to restore a shifting mosaic on tallgrass prairie

FUHLENDORF, S. D., ENGLE, D. M.·2004·Journal of Applied Ecology

Abstract

Summary: Management of rangelands has long operated under the paradigm of minimizing spatially discrete disturbances, often under the objective of reducing inherent heterogeneity within managed ecosystems. Management of grazing animals has focused on uniform distribution of disturbance, so that no areas are heavily disturbed or undisturbed (i.e. management to the ‘middle’). A model of the fire–grazing interaction argues that grazing and fire interact through a series of positive and negative feedbacks to cause a shifting mosaic of vegetation pattern across the landscape. This interaction was important in the evolution of species in the North American Great Plains grasslands. This approach has the potential to serve as an ecological‐based model for management of grasslands with a long evolutionary history of grazing. We compared a heterogeneity‐based approach, in which fire is applied to discrete patches, with typical homogeneity‐based land management in the North American Great Plains, to determine if patch burning followed by focal grazing creates a shifting mosaic pattern of vegetation structure and composition. Our data suggest that spatially discrete fires promote focal grazing, where grazing animals devote 75% of grazing time within the one‐third of the area that has been burned within the past year. These focal disturbances cause local changes in the plant community and increase patch‐level heterogeneity across landscapes. As the focal disturbance is shifted to other patches over time, successional processes lead to changes in local plant communities and the patchwork landscape can be described as a shifting mosaic. A patch‐dynamic approach can be accomplished in the tallgrass prairie through applying spatially discrete fires and allowing animals free access to a diversity of landscape elements that vary in time since focal disturbance. This increases heterogeneity across the landscape, a variable that has been shown to be critical to some wildlife species as well as the structure and function of grassland ecosystems. Synthesis and applications. Our study demonstrates that the fire‐grazing model may be useful for generating heterogeneity in grassland management. Discrete fires are applied to patches, and patchy grazing by herbivores promotes a shifting vegetation mosaic across the landscape. Furthermore, application of the model has the potential of increasing the area of rangelands under management for conservation purposes, because livestock production is maintained at a level similar to traditional management. So, by managing transient focal patches that move through the landscape, heterogeneity has the potential to be a central paradigm for managing landscapes for multiple objectives, such as biodiversity and agricultural productivity.

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 · 10.1111/j.0021-8901.2004.00937.x

Cites

44 of 44 references verified0 citation errors · 0 not checkable

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

Cites

Show all 44 references

Cited by

See all 620

Metadata

Authors
FUHLENDORF, S. D., & ENGLE, D. M.
Venue
Journal of Applied Ecology
Publisher
Wiley
Published
2004-07-19
Volume
41
Issue
4
Pages
604-614
ISSN
  • 0021-8901 (ISSN-L)
  • 1365-2664
OpenAlex
W2154828680
Cited by
620
References
44
FWCI
14.60
Type
journal article
Language
en
Open access
closed

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: Application of the fire–grazing interaction to restore a shifting mosaic on tallgrass prairie. https://app.cochat.ai/papers/10.1111/j.0021-8901.2004.00937.x
The paper
FUHLENDORF, S. D., & ENGLE, D. M. (2004). Application of the fire–grazing interaction to restore a shifting mosaic on tallgrass prairie. Journal of Applied Ecology. https://doi.org/10.1111/j.0021-8901.2004.00937.x

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.