Repository logo
 
Publication

Land use change through the lens of macroecology : insights from Azorean arthropods and the maximum entropy theory of ecology

2022-05Journal article Open access
Simple item page
dc.contributor.authorBrush, Micah
dc.contributor.authorMatthews, Thomas J.
dc.contributor.authorBorges, Paulo A. V.
dc.contributor.authorHarte, John
dc.date.accessioned2022-12-01T17:01:44Z
dc.date.available2022-12-01T17:01:44Z
dc.date.issued2022-05
dc.description.abstractHuman activity and land management practices, in particular land use change, have resulted in the global loss of biodiversity. These types of disturbance affect the shape of macroecological patterns, and therefore analyzing these patterns can provide insights into how ecosystems are affected by land use change. We here use arthropod census data from 96 sites at Terceira Island in the Azores archipelago across four different land uses of increasing management intensity: native forest, exotic forest, semi-natural pasture and intensive pasture, to examine the effects of land use type on three macroecological patterns: the species abundance distribution, the metabolic rate distribution of individuals and the species–area relationship. The maximum entropy theory of ecology (METE) has successfully predicted these patterns across habitats and taxa in undisturbed ecosystems, and thus provides a null expectation for their shapes. Across these patterns, we find that the forest habitats are the best fit by METE predictions, while the semi-natural pasture is consistently the worst fit, and the intensive pasture is intermediately well fit. We show that the direction of failure of the METE predictions at the pasture sites is likely due to the hyper-dominance of introduced spider species present there. We hypothesize that the particularly poor fit for the semi-natural pasture is due to the mix of arthropod communities out of equilibrium, leading to greater heterogeneity in composition and complex dynamics that violate METE's assumption of static state variables. The comparative better fit for the intensive pasture plausibly results from more homogeneous arthropod communities that are well adapted to intensive management, and thus whose state variables are less in flux. Analyzing deviations from theoretical predictions across land use type provides useful information about how land use and disturbance affect ecosystems, and such comparisons could be useful across other habitats and taxa.en
dc.description.sponsorshipFunding for this project was provided in part by grant DEB 1751380 from the US National Science Foundation, as well as by grants to PAVB FCT-UIDP/00329/2020-2024 (Thematic Line 1 – integrated ecological assessment of environmental change on biodiversity) and MACRISK – PTDC/BIA-CBI/0625/2021, through the FCT – Fundação para a Ciência e a Tecnologia. MB acknowledges the support of the Natural Sciences and Engineering Research Council of Canada (NSERC) (PGSD2-517114-2018). Data acquisition was provided by the projects: ‘Consequences of land use change on Azorean fauna and flora – the 2010 Target' (Ref: Direcção Regional de Ciência e Tecnologia M.2.1.2/I/003/2008) and ‘Direcção Regional dos Recursos Florestais' (‘Secretaria Regional da Agricultura e Pescas') through the Project ‘Reservas Florestais dos Açores: Cartografia e Inventariação dos Artrópodes Endémicos dos Açores' (PROJ. 17.01 – 080203).en
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBrush, M., Matthews, T.J., Borges, P.A.V. & Harte, J. (2022). Land use change through the lens of macroecology: insights from Azorean arthropods and the Maximum Entropy Theory of Ecology. "Ecography", 2022(8), e06141. DOI:10.1111/ecog.06141en
dc.identifier.doi10.1111/ecog.06141pt_PT
dc.identifier.eissn1600-0587
dc.identifier.issn0906-7590
dc.identifier.urihttp://hdl.handle.net/10400.3/6462
dc.identifier.wos000794290000001
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWiley-Blackwellpt_PT
dc.relationCentre for Ecology, Evolution and Environmental Changes
dc.relation.publisherversionhttps://onlinelibrary.wiley.com/doi/full/10.1111/ecog.06141pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectArthropodsen
dc.subjectAzoresen
dc.subjectDisturbanceen
dc.subjectLand Useen
dc.subjectMacroecologyen
dc.subjectMaximum Entropy Theory of Ecologyen
dc.titleLand use change through the lens of macroecology : insights from Azorean arthropods and the maximum entropy theory of ecologyen
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Ecology, Evolution and Environmental Changes
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00329%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIA-CBI%2F0625%2F2021/PT
oaire.citation.conferencePlaceUnited Kingdomen
oaire.citation.issue(8)pt_PT
oaire.citation.titleEcographyen
oaire.citation.volume2022pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream3599-PPCDT
person.familyNameMatthews
person.familyNameBorges
person.givenNameThomas
person.givenNamePaulo
person.identifier829215
person.identifier.ciencia-idFA1A-C9CB-9C29
person.identifier.orcid0000-0002-7624-244X
person.identifier.orcid0000-0002-8448-7623
person.identifier.ridB-2780-2008
person.identifier.scopus-author-id56005200900
person.identifier.scopus-author-id7003533390
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationb7b2a71f-eef1-4edb-a9f5-af567f123faa
relation.isAuthorOfPublicationd9716a90-cc3e-44d0-adc1-6933e3786278
relation.isAuthorOfPublication.latestForDiscoveryb7b2a71f-eef1-4edb-a9f5-af567f123faa
relation.isProjectOfPublicationfdc526eb-123b-43b9-989c-29918360a76e
relation.isProjectOfPublication9f763a90-ea2d-4065-899c-d9b5c5d7ae90
relation.isProjectOfPublication.latestForDiscovery9f763a90-ea2d-4065-899c-d9b5c5d7ae90

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
P1969_Borges_2022_Ecography.pdf
Size:
2.45 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.73 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

GBA - Artigos em Revistas Internacionais / Articles in International Journals
DCEA - Artigos em Revistas Internacionais / Articles in International Journals