Evidence map›Paper›PMID 41981087›Full record

ArticleScientific reports2026

Large herbivores and abiotic drivers jointly shape spatiotemporal grassland dynamics in a subalpine ecosystem.

Daniel Oro, Aleix Ferrer-Vilaplana, Joan Bauzà, Meritxell Genovart, Moisès Guardiola, Giulio Tirabassi, Arantza Aldezabal

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daniel Oro *Department of Ecology and Complexity, CEAB (CSIC), Accés Cala Sant Francesc 14, Blanes, 17300, Catalonia, Spain. d.oro@csic.es.
Aleix Ferrer-Vilaplana *Department of Ecology and Complexity, CEAB (CSIC), Accés Cala Sant Francesc 14, Blanes, 17300, Catalonia, Spain.
Joan BauzàServei de Sistemes d'Informació Geogràfica i Teledetecció, Universitat de les Illes Balears, Palma, Spain.
Meritxell GenovartDepartment of Ecology and Complexity, CEAB (CSIC), Accés Cala Sant Francesc 14, Blanes, 17300, Catalonia, Spain.
Moisès GuardiolaUnit of Botany, Department of Animal and Plant Biology and Ecology, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Giulio TirabassiDepartment of Computer Science, Applied Mathematics and Statistics, Universitat de Girona, Girona, 17003, Spain.
Arantza AldezabalLandare Biologia eta Ekologia Saila, Zientzia eta Teknologia Fakultatea, Euskal Herriko Unibertsitatea (UPV-EHU), 644 p.k, Bilbo (Bizkaia), Euskal Herria, 48080, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Managed grazing has a larger geographic extent than any other global form of land use. In subalpine grasslands, the spatiotemporal dynamics of vegetation during its growing season may depend on grazing intensity, the type of vegetation and abiotic drivers, as well as their complex interactions. Here, we examine how free-range grazing cows and abiotic factors (climate and topography) drive grassland dynamics over three growing seasons in a Pyrenean valley. We combine high spatial resolution satellite imagery to estimate our response variable (the Soil-Adjusted Vegetation Index (SAVI), a proxy of vegetation greenness and biomass that correlates with forage quantity and quality), with GPS-tracking of cows (80-85 cows per year), the primary herbivores in the valley. We generated a detailed vegetation map and used GPS accelerometer data to separate grazing from resting cow activities, the latter resulting in higher trampling and nutrient deposition on vegetation. Results indicate that cows showed a clumped spatial distribution, consistent with collective behaviour and a heterogeneous use of the available space. SAVI showed clear seasonal cycles, peaking in early summer and declining to winter dormancy. Grassland dynamics were influenced by climate variability, both seasonal (solar radiation and temperature) and non-seasonal (soil water content, precipitation, and wind). The other drivers were also selected in the best multiple regression model, which explained 46% of SAVI temporal variance. Both cow activities had negative impacts on vegetation, with lower SAVI values associated with resting; grazing showed non-linear negative effects on SAVI, varying synergistically with elevation, slope, and orientation. The nonlinearity resulted from a steep initial decline in SAVI with grazing, followed by a diminishing negative effect as grazing intensity increased. These findings reveal the complex interplay between biotic and abiotic drivers in SAVI dynamics, emphasising the role of large herbivores in the ecological processes in subalpine ecosystems under varying environmental conditions.

Indexed as

EcosystemGrasslandHerbivoryAnimalsBiomassCattleClimateSeasonsSoilSpatio-Temporal AnalysisSoilClimate-vegetation interactionsExtensive grazingHerbivore foragingNon-linear responseSeasonal dynamicsSubalpine grasslandsVegetation indices (SAVI)

Identifiers

PMID41981087
PMCPMC13373178

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.