Clarifying Grazing Management Methods: A Data-Driven Review
Grasslands, particularly permanent grasslands, provide vital ecosystem services and, therefore, focus a number of management challenges. Grassland management revolves around organizing how livestock graze in both space and time, using various grazing methods. However, international research describe...
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Published in | Sustainability Vol. 17; no. 11; p. 5200 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Basel
MDPI AG
01.06.2025
MDPI |
Subjects | |
Online Access | Get full text |
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Summary: | Grasslands, particularly permanent grasslands, provide vital ecosystem services and, therefore, focus a number of management challenges. Grassland management revolves around organizing how livestock graze in both space and time, using various grazing methods. However, international research describes these grazing methods using diverse and sometimes inconsistent terminologies. This lack of standardization may create ambiguity and hinder comparative research on grazing methods. Here, to address this issue, we conducted a literature review aiming to identify common patterns of grazing methods based on shared grazing management criteria. Through multivariate analysis, we analyzed 249 experimental datapoints derived from 102 studies. We ran principal component analysis followed by hierarchical clustering on principal components on seven management criteria. This review identified 4 broad families of grazing methods: continuous grazing, conventional rotational grazing, deferred rotational grazing, adaptative multi-paddock grazing. This work distinguishes rotational from continuous grazing methods, as commonly described in the literature. Furthermore, it identifies adaptative multi-paddock grazing as a distinct and innovative group of rotational grazing. The approach developed here could serve as support to characterize and compare different grazing methods. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 2071-1050 2071-1050 |
DOI: | 10.3390/su17115200 |