Functional connectivity as an indicator for patch occupancy in grassland specialists

DC ElementWertSprache
dc.contributor.authorPoniatowski, Dominik
dc.contributor.authorLoeffler, Franz
dc.contributor.authorStuhldreher, Gregor
dc.contributor.authorBorchard, Fabian
dc.contributor.authorKraemer, Benjamin
dc.contributor.authorFartmann, Thomas
dc.date.accessioned2021-12-23T16:14:04Z-
dc.date.available2021-12-23T16:14:04Z-
dc.date.issued2016
dc.identifier.issn1470160X
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/10891-
dc.description.abstractHabitat specialists living in metapopulations are sensitive to habitat fragmentation. In most studies, the effects of fragmentation on such species are analyzed based on Euclidean inter-patch distances. This approach, however, ignores the role of the landscape matrix. Recently, therefore, functional distances that account for the composition of the landscape surrounding the habitat patches have been used more frequently as indicators for patch occupancy. However, the performance of functional and non-functional connectivity measures in predicting patch occupancy of such species has never been compared in a multi-species approach. Here we evaluate the effect of habitat connectivity on the patch occupancy of 13 habitat specialists from three different insect orders (Auchenorrhyncha, Lepidoptera, Orthoptera) in fragmented calcareous grasslands. In order to calculate functional distances we used four different sets of resistance values and rankings. We then modelled species' occurrence using both Euclidean and functional (based on least-cost modelling) inter-patch distances as predictors. We found that functional connectivity measures provided better results than the non-functional approach. However, a functional connectivity measure that was based on very coarse land-cover data performed even better than connectivity measures that were based on much more detailed land-use data. In order to take into account possible effects of the landscape matrix on patch occupancy by habitat specialists, future metapopulation studies should use functional rather than Euclidean distances whenever possible. For practical applications, we recommend a `simple approach' which requires only coarse land-cover data and in our study performed better than all other functional connectivity measures, even more complex ones. (C) 2016 Elsevier Ltd. All rights reserved.
dc.description.sponsorshipAkademie fur okologische Landesforschung e.V.; We would like to thank the Hessian State Office of Natural Resources Management and Geoinformation for providing land-cover data (ALKIS). Permission to capture the animals was issued by the Kassel Regional Council. The Akademie fur okologische Landesforschung e.V. partly funded the study. We are deeply grateful to Tobias Naaf (Muncheberg) for advice in writing the R-script of the permutation test. Moreover, we like to thank two anonymous reviewers for valuable comments on an earlier version of the manuscript.
dc.language.isoen
dc.publisherELSEVIER SCIENCE BV
dc.relation.ispartofECOLOGICAL INDICATORS
dc.subjectBiodiversity & Conservation
dc.subjectBiodiversity Conservation
dc.subjectBUSH-CRICKET
dc.subjectBUTTERFLY CUPIDO-MINIMUS
dc.subjectCalcareous grassland
dc.subjectCALCAREOUS GRASSLANDS
dc.subjectDispersal
dc.subjectEnvironmental Sciences
dc.subjectEnvironmental Sciences & Ecology
dc.subjectFRAGMENTED LANDSCAPE
dc.subjectHabitat fragmentation
dc.subjectHABITAT QUALITY
dc.subjectHOST-PLANT
dc.subjectINSECT COMMUNITIES
dc.subjectInvertebrate
dc.subjectLAND-USE
dc.subjectLandscape matrix
dc.subjectLeast-cost modelling
dc.subjectMETAPOPULATION DYNAMICS
dc.subjectPOPULATION-SIZE
dc.titleFunctional connectivity as an indicator for patch occupancy in grassland specialists
dc.typejournal article
dc.identifier.doi10.1016/j.ecolind.2016.03.047
dc.identifier.isiISI:000388785300072
dc.description.volume67
dc.description.startpage735
dc.description.endpage742
dc.contributor.orcid0000-0002-9955-688X
dc.identifier.eissn18727034
dc.publisher.placePO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
dcterms.isPartOf.abbreviationEcol. Indic.
crisitem.author.orcid0000-0002-2050-9221-
crisitem.author.netidFaTh573-
Zur Kurzanzeige

Seitenaufrufe

2
Letzte Woche
0
Letzter Monat
0
geprüft am 29.05.2024

Google ScholarTM

Prüfen

Altmetric