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Vegetation patterning can both impede and trigger critical transitions from savanna to grassland

Bibliographic Data

ID15548766
AuthorsJelle van der Voort (0000-0002-7710-3222, Leiden University, corresponding author), Mara Baudena (0000-0002-6873-6466, Institute of Atmospheric Sciences and Climate), E Meroni (0000-0002-3602-7411, Ben-Gurion University of the Negev), Max Rietkerk (0000-0002-2698-3848, Utrecht University), Arjen Doelman (0000-0003-4369-4172, Leiden University)
Year2025
Volume20
Issue9
Pages094052-094052
Publication date2025-03-21
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/adc3ab
OpenAlexW4408712366
LanguageEN

Tree-grass coexistence is a defining feature of savanna ecosystems, which play an important role in supporting biodiversity and human populations worldwide. While recent advances have clarified many of the underlying processes, how these mechanisms interact to shape ecosystem dynamics under environmental stress is not yet understood. Here, we present and analyse a minimalistic spatially extended model of tree-grass dynamics in dry savannas. We incorporate tree facilitation of grasses through shading and grass competing with trees for water, both varying with tree life stage. Our model shows that these mechanisms lead to grass-tree coexistence and bistability between savanna and grassland states. Moreover, the model predicts vegetation patterns consisting of trees and grasses, particularly under harsh environmental conditions, which can persist in situations where a non-spatial version of the model predicts ecosystem collapse from savanna to grassland instead (a phenomenon called ‘Turing-evades-tipping’). Additionally, we identify a novel ‘Turing-triggers-tipping’ mechanism, where unstable pattern formation drives tipping events that are overlooked when spatial dynamics are not included. These transient patterns act as early warning signals for ecosystem transitions, offering a critical window for intervention. Further theoretical and empirical research is needed to determine when spatial patterns prevent tipping or drive collapse

Agroforestry · Biology · Earth science · Geography · Grassland · Habitat · Physical geography · Remote sensing · Vegetation (pathology · Vegetation types · Ecology and Vegetation Dynamics Studies · Environmental Science · Plant Taxonomy and Phylogenetics · Rangeland Management and Livestock Ecology · Ecology · Geology

Citation velocityhistorical
Highly citedNo

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