dc.contributor.author |
Sardanyés, J. |
dc.contributor.author |
Ivančić, F. |
dc.contributor.author |
Vidiella, B. |
dc.date.accessioned |
2024-03-04T11:39:00Z |
dc.date.available |
2024-03-04T11:39:00Z |
dc.date.issued |
2024-02-01 |
dc.identifier.uri |
http://hdl.handle.net/2072/537459 |
dc.description.sponsorship |
Funding text 1: This research has been funded by the 2020–21 Biodiversa+/Water JPI joint call under the BiodivRestore ERANET Cofund (GA N°101003777) MPA4Sustainability project with funding organizations: Innovation Fund Denmark (IFD), Agence Nationale de la Recherche (ANR), Fundação para a Ciência e a Tecnologia (FCT), Swedish Environmental Protection Agency (SEPA) and grants PCI2022-132936 and PCI2022-132926 funded by MCIN/AEI/10.13039/501100011033 and by the European Union NextGenerationEU/PRTR. This work is also supported by the Spanish State Research Agency, through the Severo Ochoa and María de Maeztu Program for Centers and Units of Excellence in R&D (CEX2020-001084-M). We thank CERCA Programme/-Generalitat de Catalunya for institutional support. JS has been also supported by the Ramón y Cajal grant RYC2017-22243 funded by MCIN/AEI/10.13039/501100011033 “FSE invests in your future”.; Funding text 2: This research has been funded by the 2020–21 Biodiversa+/Water JPI joint call under the BiodivRestore ERANET Cofund (GA N° 101003777 ) MPA4Sustainability project with funding organizations: Innovation Fund Denmark (IFD), Agence Nationale de la Recherche (ANR), Fundação para a Ciência e a Tecnologia (FCT), Swedish Environmental Protection Agency (SEPA) and grants PCI2022-132936 and PCI2022-132926 funded by MCIN/AEI / 10.13039/501100011033 and by the European Union NextGenerationEU/PRTR . This work is also supported by the Spanish State Research Agency , through the Severo Ochoa and María de Maeztu Program for Centers and Units of Excellence in R&D ( CEX2020-001084-M ). We thank CERCA Programme/-Generalitat de Catalunya for institutional support. JS has been also supported by the Ramón y Cajal grant RYC2017-22243 funded by MCIN/AEI/ 10.13039/501100011033 “FSE invests in your future”. |
dc.format.extent |
15 p. |
dc.language.iso |
eng |
dc.publisher |
Elsevier Ltd |
dc.relation.ispartof |
Biological Conservation |
dc.rights |
L'accés als continguts d'aquest document queda condicionat a l'acceptació de les condicions d'ús establertes per la següent llicència Creative Commons: http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.source |
RECERCAT (Dipòsit de la Recerca de Catalunya) |
dc.subject.other |
Early warning signals; Ecological conservation; Late warning signals; Regime shifts; Tipping points; Transients |
dc.title |
Identifying regime shifts, transients and late warning signals for proactive ecosystem management |
dc.type |
info:eu-repo/semantics/article |
dc.type |
info:eu-repo/semantics/publishedVersion |
dc.embargo.terms |
cap |
dc.identifier.doi |
10.1016/j.biocon.2023.110433 |
dc.rights.accessLevel |
info:eu-repo/semantics/openAccess |
dc.description.abstract |
Conservation Biology fosters the study of Earth's ecosystems and biodiversity aiming at protecting species and their habitats from menaces causing the erosion of biotic interactions and extinctions. Its ultimate goal is to preserve biodiversity and promote sustainable ecological management maintaining both ecosystem's resilience and services. Ecosystems display complex patterns in time and space due to the intrinsic nonlinear nature of their interactions and can suffer regime shifts driven by the agents of global change. During the last decades, Ecology has turned from the equilibrium metaphor to the paradigm of non-equilibrium dynamics. This involves putting into the scene multiple stable states, nonlinear regime shifts, stochasticity, and ecological transients. These aspects are also crucial for biological conservation since they play a fundamental role in species' persistence, ecosystems' resilience, and in detecting warning signals prior to either the collapse or the recovery of the ecosystem. In this contribution, we discuss ecological regime shifts caused by tipping points in real ecosystems. Then, we provide information on some known dynamical features from theoretical ecology and dynamical systems theory associated to tipping points, mainly given by transient phenomena and the characteristic statistical patterns tied to early warning signals. These features are illustrated with a single-species mathematical model including facilitation and immigration. We also introduce and provide evidence of late warning signals as a way to identify when a tipping point has been surpassed but the system still remains in a transient state and recovery may be still possible. Our main goal is to near non-equilibrium concepts in Ecology to the conservationist community and promote bridges between such concepts and the management and conservation of ecosystems. © 2024 The Authors |