Academic Journal
Regional distribution patterns can predict the local habitat specialization of arachnids in heterogeneous landscapes of the Atlantic Forest
| العنوان: | Regional distribution patterns can predict the local habitat specialization of arachnids in heterogeneous landscapes of the Atlantic Forest |
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| المؤلفون: | Porto, Tiago Jordão, Pinto‐da‐Rocha, Ricardo, da Rocha, Pedro Luís Bernardo |
| المساهمون: | Andersen, Alan, Fundação de Amparo à Pesquisa do Estado da Bahia, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação de Amparo à Pesquisa do Estado de São Paulo, National Science Foundation, National Aeronautics and Space Administration |
| المصدر: | Diversity and Distributions ; volume 24, issue 3, page 375-386 ; ISSN 1366-9516 1472-4642 |
| بيانات النشر: | Wiley |
| سنة النشر: | 2017 |
| المجموعة: | Wiley Online Library (Open Access Articles via Crossref) |
| الوصف: | Aim This study formally evaluates the ability of three models to use geographical data on species distribution to predict the habitat use patterns of species in heterogeneous landscapes. Location Species and habitats in the Brazilian Atlantic Rain Forest were investigated. Methods Based on empirical data on harvestmen and scorpions, we estimated the strength of species association with preferred habitat and classified them as habitat generalists or habitat specialists. We compared these empirical results with predictions made using data on species range size (model 1), species occurrence in biomes (model 2) and species occurrence in habitats within the biomes (model 3). Results We used 1,278 records of eight harvestman and two scorpion species that had specific determination and enough sampling numbers to allow safe identification of habitat specialization. We observed the following: (1) the extension of species occurrence did not influence the strength of species–habitat association (estimated by IndVal), which led us to reject model 1; (2) species habitat specialization derived from occurrences in biomes was 60% coincident with the classification derived from empirical data. This value is not different enough from the value expected by chance for these data, which also led us to reject model 2; and (3) species classification derived from secondary data about the habitats used had a significant coincidence of 80% with the empirical classification, which led us to accept model 3. Main conclusions For correct classification of species habitat specialization using secondary distributional data, we recommend that future studies consider using the most accurate information available on the habitats used by species. Especially for megadiverse and understudied groups, information about habitats used is not easy to obtain, so it is important for researchers and institutions to register and disseminate this information, which could support many other studies. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1111/ddi.12685 |
| الاتاحة: | http://dx.doi.org/10.1111/ddi.12685 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fddi.12685 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ddi.12685 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ddi.12685 http://api.wiley.com/onlinelibrary/chorus/v1/articles/10.1111%2Fddi.12685 |
| Rights: | http://onlinelibrary.wiley.com/termsAndConditions#am ; http://onlinelibrary.wiley.com/termsAndConditions#vor |
| رقم الانضمام: | edsbas.6D990D11 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1111/ddi.12685 |
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