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Journal of Environmental Management
Article . 2025 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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DIGITAL.CSIC
Article . 2025 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Rethinking extensive livestock grazing to revive Mediterranean mountain landscapes

Authors: P. Errea; T. Lasanta; J. Zabalza-Martínez; M. Cortijos-López; E. Nadal-Romero;

Rethinking extensive livestock grazing to revive Mediterranean mountain landscapes

Abstract

Extensive livestock grazing is vital for the socio-economic resilience of Mediterranean mountains, providing key environmental benefits. Grazing patterns result from complex interactions between topographical, environmental, and anthropogenic factors, requiring an understanding of these dynamics to optimise land management. This study analyses spatio-temporal patterns of extensive livestock grazing in the Iberian System (north-eastern Spain), a representative Mediterranean mountain with a history of agricultural abandonment. Using GPS tracking, spatial analysis, and statistical modelling, this research evaluates how land use and land cover, environmental variables, public policy, and human infrastructure affect livestock movement. Three hypotheses are tested: (1) grazing distribution is influenced by both environmental and anthropogenic factors; (2) silvopastoral systems are key components of grazing; and (3) shrub cleared areas display heterogeneous levels of use. Results reveal diurnal and seasonal patterns, with peak grazing during early morning and late afternoon, and a decline in cattle presence during autumn and winter. Approximately 81 % of grazing occurs on land subsidised by the Common Agricultural Policy (CAP), whereas sheep dominate silvopastoral areas (non-subsidised). Shrub pastures and pastures are most frequently grazed, though wooded pastures exhibited the highest intensity. Species-specific preferences were evident: sheep prefer higher altitudes and steeper terrains, while cattle favour areas with higher NDVI values. Multiple regression analysis reveals that proximity to water, salt, and feed points and livestock sheds are key predictors of grazing distribution. Shrub clearing enhances grazing activity. These findings highlight the need for targeted grazing management strategies to improve the ecological and economic sustainability of Mediterranean mountains.

Country
Spain
Keywords

Conservation of Natural Resources, Livestock, Mediterranean Region, GPS, Altitude, Anthropogenic Effects, Climate, Mediterranean silvopastoral systems, Shrub clearing, Public Policy, Public policies, Landscape management, Extensive livestock, Geographic Information Systems, Animals, Animal Migration, Herbivory, Animal Husbandry, Ecosystem, Agroecology

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
Green
hybrid