Random placement models explain species richness and dissimilarity of frog assemblages within Atlantic Forest fragments.

Understanding the effects of random versus niche-based processes on biodiversity patterns is a central theme in ecology, and an important tool for predicting effects of habitat loss and fragmentation on biodiversity. We investigated the predictive power of random processes to explain species richness and species dissimilarity of amphibian assemblages in a fragmented tropical landscape of the Atlantic Forest of South America. We analyzed a large database of amphibian abundance and occupancy, sampled in 21 forest fragments ranging in size from 1.9 to 619 ha. We compared observed species richness and species dissimilarity with the outcomes of two null (random placement) models: 1- the traditional Coleman's area-based model and 2- an abundance-based model (based on the number of individuals observed in each fragment). We applied these models for all species combined, and separately for forest-dependent and habitat-generalist species. The abundance-based model fitted the observed species richness data better than the area-based model for all species, forest-dependent species, and generalist species. The area-based and the abundance-based models were also able to significantly explain species dissimilarity for all species and for generalists, but not for forest dependent species. The traditional area-based model assigned too many individuals to large fragments, thus failing to accurately explain species richness within patches across the landscape. Although niche-based processes may be important to structuring the regional pool of species in fragmented landscapes, our results suggest that part of the variation in species richness and species dissimilarity can be successfully explained by random placement models, especially for generalist species. Evaluating which factors cause variation in the number of individuals among patches should be a focus in future studies aiming to understand biodiversity patterns in fragmented landscapes.

Compreender os efeitos de processos aleatórios versus processos baseados em nicho nos padrões de biodiversidade é um tema central em ecologia e uma ferramenta importante para prever os efeitos da perda e fragmentação de habitat na biodiversidade. Nós investigamos o poder preditivo de processos aleatórios para explicar a riqueza e a dissimilaridade de espécies de assembleias de anfíbios em uma paisagem fragmentada tropical da Mata Atlântica da América do Sul. Analisamos um grande conjunto de dados de abundância e ocupação de anfíbios, amostrados em 21 fragmentos florestais com tamanhos de 1.9 a 619 ha. Comparamos a riqueza e a dissimilaridade de espécies observadas com os resultados de dois modelos nulos (posicionamento aleatório): 1- o modelo tradicional baseado em área de Coleman e 2 - um modelo baseado em abundância (com base no número de indivíduos observados em cada fragmento). Aplicamos esses modelos para todas as espécies combinadas e separadamente para espécies dependentes de floresta e espécies generalistas de habitat. O modelo baseado em abundância ajustou-se melhor aos dados observados de riqueza de espécies do que o modelo baseado em área para todas as espécies, espécies dependentes de floresta e espécies generalistas. Os modelos baseados em área e em abundância também foram capazes de explicar significativamente a dissimilaridade de espécies para todas as espécies e para generalistas, mas não para espécies dependentes de floresta. O modelo tradicional baseado em área atribuiu muitos indivíduos a grandes fragmentos, falhando assim em explicar com precisão a riqueza de espécies dentro de manchas na paisagem. Embora processos baseados em nicho possam ser importantes para estruturar o conjunto regional de espécies em paisagens fragmentadas, nossos resultados sugerem que parte da variação na riqueza e dissimilaridade de espécies pode ser explicada com sucesso por modelos de posicionamento aleatório, especialmente para espécies generalistas. Avaliar quais fatores causam variação no número de indivíduos entre manchas deve ser um foco em estudos futuros que visem compreender os padrões de biodiversidade em paisagens fragmentadas.

Movement behaviour within and beyond perceptual ranges in three small mammals: effects of matrix type and body mass.

1. For animal species inhabiting heterogeneous landscapes, the tortuosity of the dispersal path is a key determinant of the success in locating habitat patches. Path tortuosity within and beyond perceptual range must differ, and may be differently affected by intrinsic attributes of individuals and extrinsic environmental factors. Understanding how these factors interact to determine path tortuosity allows more accurate inference of successful movements between habitat patches. 2. We experimentally determined the effects of intrinsic (body mass and species identity) and extrinsic factors (distance to nearest forest fragment and matrix type) on the tortuosity of movements of three forest-dwelling didelphid marsupials, in a fragmented landscape of the Atlantic Forest, Brazil. 3. A total of 202 individuals were captured in forest fragments and released in three unsuitable matrix types (mowed pasture, abandoned pasture and manioc plantation), carrying spool-and-line devices. 4. Twenty-four models were formulated representing a priori hypotheses of major determinants of path tortuosity, grouped in three scenarios (only intrinsic factors, only extrinsic factors and models with combinations of both), and compared using a model selection approach. Models were tested separately for individuals released within the perceptual range of the species, and for individuals released beyond the perceptual range. 5. Matrix type strongly affected path tortuosity, with more obstructed matrix types hampering displacement of animals. Body mass was more important than species identity to determine path tortuosity, with larger animals moving more linearly. Increased distance to the fragment resulted in more tortuous paths, but actually reflects a threshold in perceptual range: linear paths within perceptual range, tortuous paths beyond. 6. The variables tested explained successfully path tortuosity, but only for animals released within the perceptual range. Other factors, such as wind intensity and direction of plantation rows, may be more important for individuals beyond their perceptual range. 7. Simplistic scenarios considering only intrinsic or extrinsic factors are inadequate to predict path tortuosity, and to infer dispersal success in heterogeneous landscapes. Perceptual range represents a fundamental threshold where the effects of matrix type, body mass and individual behaviour change drastically.