Integrating theory and experiments to link local mechanisms and ecosystem-level consequences of vegetation patterns in drylands

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorPrinceton University-
Autor(es): dc.contributorCSIC-
Autor(es): dc.contributorHelmholtz-Zentrum Dresden Rossendorf (HZDR)-
Autor(es): dc.contributorHelmholtz Centre for Environmental Research – UFZ-
Autor(es): dc.contributorUniversity of Maryland-
Autor(es): dc.contributorInstituto de Física Interdisciplinar y Sistemas Complejos (CSIC-UIB)-
Autor(es): dc.contributorRutgers University-
Autor(es): dc.creatorMartinez-Garcia, Ricardo-
Autor(es): dc.creatorCabal, Ciro-
Autor(es): dc.creatorCalabrese, Justin M.-
Autor(es): dc.creatorHernández-García, Emilio-
Autor(es): dc.creatorTarnita, Corina E.-
Autor(es): dc.creatorLópez, Cristóbal-
Autor(es): dc.creatorBonachela, Juan A.-
Data de aceite: dc.date.accessioned2025-08-21T17:45:52Z-
Data de disponibilização: dc.date.available2025-08-21T17:45:52Z-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2023-07-29-
Data de envio: dc.date.issued2022-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.chaos.2022.112881-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/247938-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/247938-
Descrição: dc.descriptionSelf-organized spatial patterns of vegetation are frequent in drylands and, because pattern shape correlates with water availability, they have been suggested as important indicators of ecosystem health. However, the mechanisms underlying pattern emergence remain unclear. Some theories hypothesize that patterns could result from a water-mediated scale-dependent feedback (SDF) whereby interactions favoring plant growth dominate at short distances and growth–inhibitory interactions dominate in the long range. However, we know little about how the presence of a focal plant affects the fitness of its neighbors as a function of the inter-individual distance, which is expected to be highly ecosystem-dependent. This lack of empirical knowledge and system dependency challenge the relevance of SDF as a unifying theory for vegetation pattern formation. Assuming that plant interactions are always inhibitory and only their intensity is scale-dependent, alternative theories also recover the typical vegetation patterns observed in nature. Importantly, although these alternative hypotheses lead to visually indistinguishable patterns, they predict contrasting desertification dynamics, which questions the potential use of vegetation patterns as ecosystem-state indicators. To help resolve this issue, we first review existing theories for vegetation self-organization and their conflicting predictions about desertification dynamics. Second, we discuss potential empirical tests via manipulative experiments to identify pattern-forming mechanisms and link them to specific desertification dynamics. A comprehensive view of models, the mechanisms they intend to capture, and experiments to test them in the field will help to better understand both how patterns emerge and improve predictions on the fate of the ecosystems where they form.-
Descrição: dc.descriptionAgencia Estatal de Investigación-
Descrição: dc.descriptionBundesministerium für Bildung und Forschung-
Descrição: dc.descriptionSimons Foundation-
Descrição: dc.descriptionAbdus Salam International Centre for Theoretical Physics-
Descrição: dc.descriptionPrinceton University-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionNational Science Foundation-
Descrição: dc.descriptionGordon and Betty Moore Foundation-
Descrição: dc.descriptionICTP South American Institute for Fundamental Research & Instituto de Física Teórica - Universidade Estadual Paulista-
Descrição: dc.descriptionDepartment of Ecology and Evolutionary Biology Princeton University-
Descrição: dc.descriptionDepartment of Biogrography and Global Change National Museum of Natural Sciences MNCN CSIC-
Descrição: dc.descriptionCenter for Advanced Systems Understanding (CASUS) Helmholtz-Zentrum Dresden Rossendorf (HZDR)-
Descrição: dc.descriptionDepartment of Ecological Modelling Helmholtz Centre for Environmental Research – UFZ-
Descrição: dc.descriptionDepartment of Biology University of Maryland-
Descrição: dc.descriptionIFISC Instituto de Física Interdisciplinar y Sistemas Complejos (CSIC-UIB)-
Descrição: dc.descriptionDepartment of Ecology Evolution and Natural Resources Rutgers University-
Descrição: dc.descriptionICTP South American Institute for Fundamental Research & Instituto de Física Teórica - Universidade Estadual Paulista-
Descrição: dc.descriptionSimons Foundation: 2019/05523-8-
Descrição: dc.descriptionAbdus Salam International Centre for Theoretical Physics: 2019/24433-0-
Descrição: dc.descriptionPrinceton University: 284558FY19-
Descrição: dc.descriptionSimons Foundation: DMS-2052616-
Descrição: dc.descriptionFAPESP: ICTP-SAIFR 2016/01343-7-
Descrição: dc.descriptionNational Science Foundation: MCIN/AEI/10.13039/501100011033-
Descrição: dc.descriptionNational Science Foundation: MDM-2017-0711-
Descrição: dc.descriptionGordon and Betty Moore Foundation: RoL:FELS:EAGER-1838331-
Idioma: dc.languageen-
Relação: dc.relationChaos, Solitons and Fractals-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCompetition-
Palavras-chave: dc.subjectEcological patterns-
Palavras-chave: dc.subjectEcological transitions-
Palavras-chave: dc.subjectMathematical models-
Palavras-chave: dc.subjectScale-dependent feedback-
Palavras-chave: dc.subjectSpatial self-organization-
Título: dc.titleIntegrating theory and experiments to link local mechanisms and ecosystem-level consequences of vegetation patterns in drylands-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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