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From species presences to abundances: Using unevenly collected plant species presences to disclose the structure and functioning of a dryland ecosystem

2020-06Journal article Open access
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dc.contributor.authorPereira de Oliveira, Ana Cláudia
dc.contributor.authorNunes, Alice
dc.contributor.authorPinho, Pedro
dc.contributor.authorMatos, Paula
dc.contributor.authorGarcia Rodrigues, Renato
dc.contributor.authorBranquinho, Cristina
dc.date.accessioned2020-12-21T15:25:36Z
dc.date.available2022-06-04T00:30:23Z
dc.date.issued2020-06
dc.description.abstractSpecies abundance data is essential to understand ecosystems structure and functioning and to support species and habitat conservation. However, most regional to global databases provide only presence or presence/absence data. The main aim of this paper is to develop a methodology to estimate plant species abundances from a presence/absence database using as a case-study the largest and one of the most diverse tropical dry forest of the world – the understudied Caatinga vegetation, that dominates in the drylands of Brazil. Plant data missed abundance estimations and derived from different sources, with uneven sampling efforts over space and time. Starting from the raw data, we considered only the presence records of terrestrial plant individuals identified to the species-level. Afterwards, we applied the re-sampling method to estimate species abundances thus obtaining database DB1. To deal with the uneven sampling effort along the study area and increase information reliability, we filtered DB1 in two ways: (i) we excluded re-sampling units with a lower sampling effort and produced the Database DB2; (ii) we excluded low occurrence species and build the Database DB3. The reliability of the databases was compared by calculating a measure of their completeness. DB1 had 789 species over 323 sampling units, DB2 retained 530 species distributed in 38 sampling units, and DB3 retained 48 species over 113 sampling units. In DB1 and DB2, despite the different number of species considered, the percentage of exotic (7%), endemism (14%), woody (44%), climber (12%), and herbaceous species (45%) was similar. DB3 included only native species (no exotic species) and displayed a higher percentage of endemism (29%) and woody species (79%), and a lower proportion of herbaceous species (21%) than DB1 and DB2. The databases obtained provide an important basis to improve Caatinga ecological knowledge and conservation: we suggest the use of DB2 to support conservation strategies, and of DB3 to support ecosystem structure and functioning studies. Moreover, the re-sampling methodology proposed to estimate plant abundances from presence data, dealing with uneven sampling efforts across large areas and over time, provides an important tool that may be used to obtain abundance data, often essential to the development of plant-based indicators of ecosystem structure and functioning, and to support conservation studies.pt_PT
dc.description.sponsorshipCentre for Ecology and Environmental Monitoring (NEMA) and Reference Center for Restoration of Degraded Areas (CRAD), Petrolina, Pernambuco, Brazil.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationA.C.P.deOliveira,A.Nunes, P.Pinho, P.Matos, R.G.Rodrigues & C.Branquinho, From species presences to abundances: using unevenly collected plant species presences to disclose the structure and functioning of a dryland ecosystem, https://doi.org/10.1016/j.ecolind.2020.106221pt_PT
dc.identifier.doi10.1016/j.ecolind.2020.106221pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/45512
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationFCT/MEC - PTDC/AAG-GLO/0045/2014pt_PT
dc.relation.publisherversionhttps://www.elsevier.compt_PT
dc.subjectCaatingapt_PT
dc.subjectConservationpt_PT
dc.subjectEcosystem functioningpt_PT
dc.subjectRegional plant databasept_PT
dc.subjectRe-samplingpt_PT
dc.subjectUneven sampling effortpt_PT
dc.titleFrom species presences to abundances: Using unevenly collected plant species presences to disclose the structure and functioning of a dryland ecosystempt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage106221pt_PT
oaire.citation.titleEcological Indicatorspt_PT
oaire.citation.volume113pt_PT
person.familyNameRodrigues Nunes
person.familyNamePinho
person.familyNameBranquinho
person.givenNameAlice Maria
person.givenNamePedro
person.givenNameCristina
person.identifierB-4817-2014
person.identifierB-3670-2008
person.identifier.ciencia-id1513-954F-C3E8
person.identifier.ciencia-idF71F-47E2-67AA
person.identifier.ciencia-id801A-B46A-71BA
person.identifier.orcid0000-0002-6900-3838
person.identifier.orcid0000-0001-5571-9619
person.identifier.orcid0000-0001-8294-7924
person.identifier.ridD-1232-2010
person.identifier.scopus-author-id36651604800
person.identifier.scopus-author-id36956153900
person.identifier.scopus-author-id6603447018
rcaap.embargofctO tipo de licença envolvido com a editora Elsevier para esta revista, não envolvendo pagamento (APC), apenas permite acesso em repositório público do formato 'aceite' (i.e não editado e paginado pela editora) após período de embargo de 24 meses após a data da sua publicação final.pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9d9a277d-78fa-4c60-b6de-78db46093015
relation.isAuthorOfPublication0ea3d0ee-c1bb-4ba3-9e2f-dd2990537607
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relation.isAuthorOfPublication.latestForDiscovery9d9a277d-78fa-4c60-b6de-78db46093015

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