Evidence map›Paper›PMID 41491229›Full record

ArticleNature ecology & evolution2026

Plant diversity enhances ecosystem resistance to increasing grazing pressure in global drylands.

Lucio Biancari, Gastón R Oñatibia, Yoann Le Bagousse-Pinguet, Nicolas Gross, Laura Yahdjian, Martín R Aguiar, Hugo Saiz, David J Eldridge, Enrique Valencia, Xoaquín Moreira and 10 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

20 authors.

Lucio BiancariEnvironmental Science and Engineering, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia. lucio.biancari@kaust.edu.sa.ORCID http://orcid.org/0000-0002-6539-6267
Gastón R OñatibiaIFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0003-2329-6601
Yoann Le Bagousse-PinguetAix Marseille Univ, CNRS, Avignon Université, IRD, IMBE, Aix-en-Provence, France.ORCID http://orcid.org/0000-0002-5615-5541
Nicolas GrossUniversité Clermont Auvergne, INRAE, VetAgro Sup, Unité Mixte de Recherche Ecosystème Prairial, Clermont-Ferrand, France.ORCID http://orcid.org/0000-0001-9730-3240
Laura YahdjianIFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina.ORCID http://orcid.org/0000-0002-9635-1221
Martín R AguiarIFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina.
Hugo SaizDepartamento de Ciencias Agrarias y Medio Natural, Escuela Politécnica Superior, Instituto Universitario de Investigación en Ciencias Ambientales de Aragón, Universidad de Zaragoza, Huesca, Spain.ORCID http://orcid.org/0000-0002-7568-2996
David J EldridgeCentre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia.ORCID http://orcid.org/0000-0002-2191-486X
Enrique ValenciaDepartamento de Biodiversidad, Ecología y Evolución, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-3359-0759
Xoaquín MoreiraDepartamento de Suelos, Biosistemas y Ecología Agroforestal, Misión Biológica de Galicia, Pontevedra, Spain.ORCID http://orcid.org/0000-0003-0166-838X
Victoria OchoaInstituto Universitario de Investigación en el Olivar y el Aceite de Oliva-INUO, Universidad de Jaén, Jaén, Spain.ORCID http://orcid.org/0000-0002-2055-2094
Beatriz GozaloInstituto Multidisciplinar para el Estudio del Medio 'Ramón Margalef', Universidad de Alicante, Alicante, Spain.
Sergio AsensioGrupo de Ecoloxía Animal, Universidade de Vigo, Vigo, Spain.ORCID http://orcid.org/0000-0003-4376-2964
César PlazaInstituto de Ciencias Agrarias, Consejo Superior de Investigaciones Científicas, Madrid, Spain.ORCID http://orcid.org/0000-0001-8616-7001
Emilio GuiradoEnvironmental Science and Engineering, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia.
Miguel García-GómezDepartamento de Ingeniería y Morfología del Terreno, Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Madrid, Spain.ORCID http://orcid.org/0000-0003-3148-1495
Juan J GaitánUniversidad Nacional de Luján-CONICET, Luján, Argentina.
Jaime Martínez-ValderramaInstituto Multidisciplinar para el Estudio del Medio 'Ramón Margalef', Universidad de Alicante, Alicante, Spain.ORCID http://orcid.org/0000-0001-5859-5674
Betty J MendozaDepartamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Móstoles, Spain.ORCID http://orcid.org/0000-0003-1149-7801
Fernando T MaestreEnvironmental Science and Engineering, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Kingdom of Saudi Arabia.ORCID http://orcid.org/0000-0002-7434-4856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the mechanisms that shape ecosystem resistance to increasing livestock grazing pressure, a major driver of land degradation, is essential for predicting its impacts and informing sustainable land management strategies. This issue is particularly relevant in drylands, which host half of the world's livestock production and are highly vulnerable to desertification caused by overgrazing. Here we conduct a standardized field survey across 73 dryland sites in 25 countries to simultaneously evaluate how climatic, edaphic, vegetation and grazing-related factors influence ecosystem resistance-defined here as the capacity to maintain vegetation cover under increasing grazing pressure. We found that increasing grazing pressure reduced vegetation cover in 80% of sites, with an average decline of 35%. Plant species richness emerged as the strongest predictor of ecosystem resistance, with higher richness associated with lower vegetation cover loss. Functional trait data indicated that this positive effect was mainly explained by complementarity in trait values among plants, rather than by functional redundancy. Our results indicate that conserving plant diversity is key to strengthening ecosystem resistance and sustaining dryland functioning under intensifying grazing pressure.

Indexed as

BiodiversityEcosystemHerbivoryPlant Physiological PhenomenaPlantsAnimalsConservation of Natural ResourcesLivestock

Identifiers

PMID41491229

What OpenQuestion holds

Textmetadata
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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.