BIOFRAG – a new database for analyzing BIOdiversity responses to forest FRAGmentation

Pfeifer, Marion and Lefebvre, Veronique and Gardner, Toby A. and Arroyo-Rodriguez, Victor and Baeten, L. and Banks-Leite, C. and Barlow, Jos and Betts, Matthew G. and Brunet, Joerg and Cerezo, Alexis and Cisneros, Laura M. and Collard, Stuart and D'Cruze, Neil and Silva Motta, Catarina da and Duguay, Stephanie and Eggermont, Hilde and Eigenbrod, Felix and Hadley, Adam S. and Hanson, Thor R. and Hawes, Joseph E. and Scalley, Tamara Heartsill and Klingbeil, Brian T. and Kolb, Annette and Kormann, Urs and Kumar, Sunil and Lachat, Thibault and Fraser, Poppy Lakeman and Lantschner, Victoria and Laurance, William F. and Leal, Inara R. and Lens, Luc and Marsh, Charles J. and Medina-Rangel, Guido F. and Melles, Stephanie and Mezger, Dirk and Oldekop, Johan A. and Overal, William L. and Owen, Charlotte and Peres, Carlos A. and Phalan, Ben and Pidgeon, Anna M. and Pilia, Oriana and Possingham, Hugh P. and Possingham, Max L. and Raheem, Dinarzarde C. and Ribeiro, Danilo B. and Ribeiro Neto, Jose D. and Robinson, W. Douglas and Robinson, Richard and Rytwinski, Trina and Scherber, Christoph and Slade, Eleanor M. and Somarriba, Eduardo and Stouffer, Philip C. and Struebig, Matthew J. and Tylianakis, Jason M. and Tscharntke, Teja and Tyre, Andrew J. and Urbina Cardona, Jose N. (2014) BIOFRAG – a new database for analyzing BIOdiversity responses to forest FRAGmentation. Ecology and Evolution, 4 (9). pp. 1524-1537. ISSN 2045-7758

[thumbnail of ece31036]
Preview
PDF (ece31036)
ece31036.pdf - Published Version
Available under License Creative Commons Attribution.

Download (1MB)

Abstract

Habitat fragmentation studies have produced complex results that are challenging to synthesize. Inconsistencies among studies may result from variation in the choice of landscape metrics and response variables, which is often compounded by a lack of key statistical or methodological information. Collating primary datasets on biodiversity responses to fragmentation in a consistent and flexible database permits simple data retrieval for subsequent analyses. We present a relational database that links such field data to taxonomic nomenclature, spatial and temporal plot attributes, and environmental characteristics. Field assessments include measurements of the response(s) (e.g., presence, abundance, ground cover) of one or more species linked to plots in fragments within a partially forested landscape. The database currently holds 9830 unique species recorded in plots of 58 unique landscapes in six of eight realms: mammals 315, birds 1286, herptiles 460, insects 4521, spiders 204, other arthropods 85, gastropods 70, annelids 8, platyhelminthes 4, Onychophora 2, vascular plants 2112, nonvascular plants and lichens 320, and fungi 449. Three landscapes were sampled as long-term time series (>10 years). Seven hundred and eleven species are found in two or more landscapes. Consolidating the substantial amount of primary data available on biodiversity responses to fragmentation in the context of land-use change and natural disturbances is an essential part of understanding the effects of increasing anthropogenic pressures on land. The consistent format of this database facilitates testing of generalizations concerning biologic responses to fragmentation across diverse systems and taxa. It also allows the re-examination of existing datasets with alternative landscape metrics and robust statistical methods, for example, helping to address pseudo-replication problems. The database can thus help researchers in producing broad syntheses of the effects of land use. The database is dynamic and inclusive, and contributions from individual and large-scale data-collection efforts are welcome.

Item Type:
Journal Article
Journal or Publication Title:
Ecology and Evolution
Additional Information:
© 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1100/1105
Subjects:
?? bioinformaticsdata sharingdatabaseedge effectsforest fragmentationglobal changelandscape metricsmatrix contrastspecies turnoverecology, evolution, behavior and systematicsecologynature and landscape conservation ??
ID Code:
69154
Deposited By:
Deposited On:
08 Apr 2014 11:23
Refereed?:
Yes
Published?:
Published
Last Modified:
25 Mar 2024 00:26