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Estudos de fragmentação de habitat produziram resultados complexos que são desafiadores para sintetizar. Inconsistências entre os estudos podem resultar da variação a escolha de métricas de paisagem e variáveis ​​de resposta, que geralmente é composta por falta de informação estatística ou metodológica chave. Collating conjuntos de dados primários sobre as respostas da biodiversidade à fragmentação de forma consistente e banco de dados flexível permite a recuperação de dados simples para análises subseqüentes. Apresentamos um banco de dados relacional que vincula esses dados de campo à nomenclatura taxonômica, atributos de tramas espaciais e temporais e características ambientais. Campo avaliações incluem medidas da (s) resposta (s) (por exemplo, presença, abundância, cobertura do solo) de uma ou mais espécies ligadas a parcelas em fragmentos dentro de uma paisagem parcialmente florestada. O banco de dados atualmente possui 9830 exclusivos espécies registradas em parcelas de 58 paisagens únicas em seis dos oito reinos: mamíferos 315, aves 1286, herpteis 460, insetos 4521, aranhas 204, outros artrópodes 85, gastrópodes 70, anelídeos 8, platelmintos 4, Onychophora 2, vascular plantas 2112, plantas vasculares e líquenes 320, e fungos 449. Três paisagens foram amostrados como séries temporais de longo prazo (> 10 anos). Setecentos e onze espécies são encontradas em duas ou mais paisagens. Consolidando o substancial quantidade de dados primários disponíveis sobre as respostas da biodiversidade à fragmentação no contexto da mudança do uso da terra e das perturbações naturais é um parte da compreensão dos efeitos do aumento das pressões antrópicas sobre a terra. O formato consistente desse banco de dados facilita o teste de generalizações respostas biológicas à fragmentação em diversos sistemas e taxa. isto também permite o reexame de conjuntos de dados existentes com paisagem alternativa métricas e métodos estatísticos robustos, por exemplo, ajudando a resolver a pseudoreplicação problemas. A base de dados pode assim ajudar os pesquisadores a produzir amplas sínteses dos efeitos do uso da terra. O banco de dados é dinâmico e inclusivo, e contribuições de esforços de coleta de dados individuais e em grande escala são bem-vindos. 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 pseudoreplication 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.

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. © 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.