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
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.
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Cites
Farmland biodiversity: is habitat heterogeneity the key?
Benton, T. G., Vickery, J. A., & Wilson, J. D. (2003) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(03)00011-9 · Cited by 3,205
Pattern and Process in the Plant Community
Watt, A. S. (1947) · The Journal of Ecology · doi:10.2307/2256497 · Cited by 2,285
Opportunistic Management for Rangelands Not at Equilibrium
Westoby, M., Walker, B., & Noy-Meir, I. (1989) · Journal of Range Management · doi:10.2307/3899492 · Cited by 1,862
From Balance of Nature to Hierarchical Patch Dynamics: A Paradigm Shift in Ecology
Wu, J., & Loucks, O. L. (1995) · The Quarterly Review of Biology · doi:10.1086/419172 · Cited by 1,246
Population Responses to Patchy Environments
Wiens, J. A. (1976) · Annual Review of Ecology and Systematics · doi:10.1146/annurev.es.07.110176.000501 · Cited by 1,067
The Keystone Role of Bison in North American Tallgrass Prairie
Knapp, A. K., Blair, J. M., Briggs, J. M., Collins, S. L., Hartnett, D. C., Johnson, L. C., & Towne, E. G. (1999) · BioScience · doi:10.2307/1313492 · Cited by 834
Restoring Heterogeneity on Rangelands: Ecosystem Management Based on Evolutionary Grazing Patterns
FUHLENDORF, S. D., & ENGLE, D. M. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0625:rhorem]2.0.co;2 · Cited by 832
Self-citationRange Management. Principles and Practices
(1952) · AIBS Bulletin · doi:10.1093/aibsbulletin/2.2.15 · Cited by 803
Grazing management: an ecological perspective
(1992) · Choice Reviews Online · doi:10.5860/choice.29-6274 · Cited by 527
Briggs, J. M., & Knapp, A. K. (1995) · American Journal of Botany · doi:10.1002/j.1537-2197.1995.tb11567.x · Cited by 500
Cited by
Rotational grazing on rangelands, reconciliation of perception and experimental evidence
Briske, D. D., Derner, J. D., Brown, J. R., Fuhlendorf, S. D., Teague, W. R., Havstad, K. M., Gillen, R. L., Ash, A. J., & Willms, W. D. (2008) · Rangeland Ecology & Management · doi:10.2111/06-159r.1 · Cited by 711
Self-citationPyric Herbivory: Rewilding Landscapes through the Recoupling of Fire and Grazing
FUHLENDORF, S. D., ENGLE, D. M., KERBY, J., & HAMILTON, R. (2009) · Conservation Biology · doi:10.1111/j.1523-1739.2008.01139.x · Cited by 587
Self-citationPivello, V. R., Vieira, I., Christianini, A. V., Ribeiro, D. B., da Silva Menezes, L., Berlinck, C. N., Melo, F. P. L., Marengo, J. A., Tornquist, C. G., Tomas, W. M., et al. (2021) · Perspectives in Ecology and Conservation · doi:10.1016/j.pecon.2021.06.005 · Cited by 401
Ungulate preference for burned patches reveals strength of fire–grazing interaction
Allred, B. W., Fuhlendorf, S. D., Engle, D. M., & Elmore, R. D. (2011) · Ecology and Evolution · doi:10.1002/ece3.12 · Cited by 313
Self-citationEcological engineering by a mega-grazer: White Rhino impacts on a South African savanna.
Waldram, M. S., Bond, W. J., & Stock, W. D. (2008) · Ecosystems · doi:10.1007/s10021-007-9109-9 · Cited by 292
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
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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