The DOI matches its Crossref record; 95 of the 96 references it cites were found in a registry or an index.
Grazing management that regenerates ecosystem function and grazingland livelihoods
Abstract
Adopting a systems view and regenerative philosophy can indicate how to regenerate ecosystem function on commercial-scale agro-ecological landscapes. Adaptive multi-paddock grazing management is an example of an approach for grazinglands. Leading conservation farmers have achieved superior results in ecosystem improvement, productivity, soil carbon and fertility, water-holding capacity and profitability. Their method is to use multiple paddocks per herd with short grazing periods, long recovery periods, and adaptively changing recovery periods, residual biomass, animal numbers and other management elements as conditions change. In contrast, much research on grazing management has not followed adaptive research protocols to account for spatial effects, for sufficient time to produce resource improvement, sound animal production, and socio-economic goals under constantly varying conditions on rangelands. We briefly review what management has achieved best outcomes and show how previous reviews of grazing studies were limited in scope and applicability to larger, more complex landscapes. We argue that future research can provide better understanding of how multi-paddock grazing management can improve socio-ecological resilience in grazing ecosystems, while avoiding unintended consequences of possible management options, by involving realistic scale and context, partnering with innovative land managers on real operations, applying adaptive treatments, and combining field studies…
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“By managing for more optimal forage growth and recovery, adaptive multi-paddock (AMP) grazing can improve animal and forage productivity, potentially sequestering more soil organic carbon (SOC) than continuous grazing.”
From Impacts of soil carbon sequestration on life cycle greenhouse gas emissions in Midwestern USA beef finishing systems (2018) · cites this paper as Teague and Barnes, 2017
Citations
Cites
Ecosystems and Human Well-being: Synthesis
Assessment, M. E. (2005) · Island Press · doi:10.5281/zenodo.18167309 · Cited by 10,665
The Logic of Scientific Discovery
Bhaskar, R. (2013) · Routledge eBooks · doi:10.4324/9780203090732-9 · Cited by 7,765
The Structure of Scientific Revolutions
Hedesan, J., & Tendler, J. (2017) · Macat Library eBooks · doi:10.4324/9781912281589 · Cited by 5,450
Van Der Heijden, M. G. A., Bardgett, R. D., & Van Straalen, N. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2007.01139.x · Cited by 5,053
The Logic of Scientific Discovery
Popper, K. R., & Weiss, G. (1959) · Physics Today · doi:10.1063/1.3060577 · Cited by 2,717
The ecological role of biodiversity in agroecosystems
Altieri, M. A. (1999) · Agriculture, Ecosystems & Environment · doi:10.1016/s0167-8809(99)00028-6 · Cited by 2,561
Quantitative Effects of Grazing on Vegetation and Soils Over a Global Range of Environments
Milchunas, D. G., & Lauenroth, W. K. (1993) · Ecological Monographs · doi:10.2307/2937150 · Cited by 2,014
Original Articles: Ecological Resilience, Biodiversity, and Scale
Peterson, G., Allen, C. R., & Holling, C. S. (1998) · Ecosystems · doi:10.1007/s100219900002 · Cited by 1,547
A review of earthworm impact on soil function and ecosystem services
Blouin, M., Hodson, M. E., Delgado, E., Baker, G. H., Brussaard, L., Butt, K. R., Dai, J., Dendooven, L., Pérès, G., Tondoh, J. E., et al. (2013) · European Journal of Soil Science · doi:10.1111/ejss.12025 · Cited by 1,312
Trophic cascades in Yellowstone: The first 15years after wolf reintroduction
Ripple, W. J., & Beschta, R. L. (2012) · Biological Conservation · doi:10.1016/j.biocon.2011.11.005 · Cited by 884 · cited 1×
“…but also of the inability of large-scale, uncontrollable and unreplicable research to determine causality, is the landscape and water-catchment impacts after the reintroduction of the grey wolf to Yellowstone National Park in North America in 1995 (Wolf et al. 2007; Ripple and Beschta 2011).”
Background
Research works printed but not linked: 10
- Barnes MK, 2011, Diverse Rangelands for a Sustainable Society: proceedings of the IX International Rangeland Congress, 2–8 April 2011, Rosario, Santa Fe, Argentina., 633
- Flack S., 2016, The art and science of grazing: how grass farmers can create sustainable systems for healthy animals and farm ecosystems
- Gammon DM., 1984, Zimbabwe Agricultural Journal, 82, 59
- Gammon DM, 1978, Rhodesia Journal of Agricultural Research, 16, 117
- Gerrish J., 2004, Management-intensive grazing: the grassroots of grass farming
- Knopf FL., 1994, Studies in Avian Biology, 15, 247
- Murphy B., 1998, Greener pasture on your side of the fence: better farming with Voisin management-intensive grazing
- Norton BE., 2003, Proceedings of the 7th International Rangeland Congress, Durban, South Africa, 810
- Wolf KM, Horney MR. 2016. Revisiting the rotational and continuous grazing system debate via meta-analysis. In: Wolf KM. Examinations of the ecology, management, and restoration of rangeland ecosystems. PhD thesis, University of California - Davis, USA. pp 20–146.
- Wright HA, 1982, Fire ecology
Cited by
Sorted by citations
Regenerative agriculture – the soil is the base
Schreefel, L., Schulte, R. P. O., de Boer, I. J. M., Pas, A., & van Zanten, H. H. E. (2020) · Global Food Security · doi:10.1016/j.gfs.2020.100404 · Cited by 540
Managing Grazing to Restore Soil Health, Ecosystem Function, and Ecosystem Services
Teague, R., & Kreuter, U. P. (2020) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2020.534187 · Cited by 408
Self-citationGosnell, H., Gill, N., & Voyer, M. (2019) · Global Environmental Change · doi:10.1016/j.gloenvcha.2019.101965 · Cited by 342
Stanley, P. L., Rowntree, J. E., Beede, D. K., DeLonge, M. S., & Hamm, M. W. (2018) · Agricultural Systems · doi:10.1016/j.agsy.2018.02.003 · Cited by 266
Transforming landscapes and mindscapes through regenerative agriculture
Gordon, E., Davila, F., & Riedy, C. (2021) · Agriculture and Human Values · doi:10.1007/s10460-021-10276-0 · Cited by 138
Metadata
- Authors
- Teague, R., & Barnes, M.
- Affiliations
- Texas A&M University (US)
- Shining Horizons Land Management LLC, Bozeman, Montana, USA
- Corresponding author
- Teague, Richard
- Venue
- African Journal of Range & Forage Science
- Published
- 2017-04-03
- Volume
- 34
- Issue
- 2
- Pages
- 77-86
- ISSN
- 1022-0119 (ISSN-L)
- 1727-9380
- OpenAlex
- W2735618685
- Cited by
- 171
- References
- 96
- Citations by year
- 2026: 23 · 2025: 20 · 2024: 30 · 2023: 27 · 2022: 20 · 2021: 20 · 2020: 12 · 2019: 11 · 2018: 6 · 2017: 2
- FWCI
- 19.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- African Journal of Range and Forage Science (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Pasture and Agricultural Systems
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Rangeland Management and Livestock Ecology
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Keywords
- regenerative agriculture, ecosystem functioning, soil carbon, soil fertility, water holding capacity, social-ecological resilience, rangeland management, conservation agriculture
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