4.7 Article

Landscape composition is the strongest determinant of bird occupancy patterns in tropical forest patches

期刊

LANDSCAPE ECOLOGY
卷 36, 期 1, 页码 105-117

出版社

SPRINGER
DOI: 10.1007/s10980-020-01121-6

关键词

Atlantic forest; Habitat loss; Landscape composition; Landscape configuration; Life-history traits; Neotropical birds; Occupancy model

资金

  1. Universidade Estadual de Santa Cruz (UESC/PROPP) [00220-1100.1039, 00220-1100.1171]
  2. Fundacao de Amparo a Pesquisa do Estado da Bahia (FAPESB) [CNV0028/2011]
  3. Conselho Nacional de Desenvolvimento Cienti'fico e Tecnologico (CNPq) [69014416]
  4. [CNPq: 307990/2018-4]

向作者/读者索取更多资源

The decline in biodiversity in tropical regions is mainly attributed to forest conversion into agricultural land, leading to changes in species occupancy in landscapes. Studies have shown that landscape composition, particularly forest cover, is the key factor influencing the occupancy probability of bird species. Maintaining a minimum of 54% of forest cover is crucial to ensure high occupancy probability for forest species.
Context Biodiversity in tropical region has declined in the last decades, mainly due to forest conversion into agricultural areas. Consequently, species occupancy in these landscapes is strongly governed by environmental changes acting at multiple spatial scales. Objectives We investigated which environmental predictors best determines the occupancy probability of 68 bird species exhibiting different ecological traits in forest patches. Methods. We conducted point-count bird surveys in 40 forest sites of the Brazilian Atlantic forest. Using six variables related to landscape composition and configuration and local vegetation structure, we predicted the occupancy probability of each species accounting for imperfect detections. Results Landscape composition, especially forest cover, best predicted bird occupancy probability. Specifically, most bird species showed greater occupancy probability in sites inserted in more forested landscapes, while some species presented higher occurrence in patches surrounded by low-quality matrices. Conversely, only three species showed greater occupancy in landscapes with higher number of patches and dominated by forest edges. Also, several species exhibited greater occupancy in sites harbouring either larger trees or lower number of understory plants. Of uttermost importance, our study revealed that a minimum of 54% of forest cover is required to ensure high (> 60%) occupancy probability of forest species. Conclusions We highlighted that maintaining only 20% of native vegetation in private property according to Brazilian environmental law is insufficient to guarantee a greater occupancy for most bird species. We recommend that policy actions should safeguard existing forest remnants, expand restoration projects, and curb human-induced disturbances to minimise degradation within forest patches.

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