Abstract

Megadams are among the key modern drivers of habitat and biodiversity loss in emerging economies. The Balbina Hydroelectric Dam of Central Brazilian Amazonia inundated 312,900 ha of primary forests and created approximately 3500 variable-sized islands that still harbor vertebrate populations after nearly 3 decades after isolation. We estimated the species richness, abundance, biomass, composition, and group size of medium- to large-bodied forest vertebrates in response to patch, landscape, and habitat-quality metrics across 37 islands and 3 continuous forest sites throughout the Balbina archipelago. We conducted 1168 km of diurnal censuses and had 12,420 camera-trapping days along 81 transects with 207 camera stations. We determined the number of individuals (or groups) detected per 10 km walked and the number of independent photographs per 10 camera-trapping days, respectively, for each species. We recorded 34 species, and patch area was the most significant predictor of vertebrate population relative abundance and aggregate biomass. The maximum group size of several group-living species was consistently larger on large islands and in continuous patches than on small islands. Most vertebrate populations were extirpated after inundation. Remaining populations are unlikely to survive further ecological disruptions. If all vertebrate species were once widely distributed before inundation, we estimated that approximately 75% of all individual vertebrates were lost from all 3546 islands and 7.4% of the animals in all persisting insular populations are highly likely to be extirpated. Our results demonstrate that population abundance estimates should be factored into predictions of community disassembly on small islands to robustly predict biodiversity outcomes. Given the rapidly escalating hydropower infrastructure projects in developing counties, we suggest that faunal abundance and biomass estimates be considered in environmental impact assessments and large strictly protected reserves be established to minimize detrimental effects of dams on biodiversity. Conserving large tracts of continuous forests represents the most critical conservation measure to ensure that animal populations can persist at natural densities in Amazonian forests.

Highlights

  • Both island and continental biotas worldwide have succumbed to unprecedented biodiversity loss, with current extinction rates nearly 1000 times higher than the pre-human background rate (Pimm et al 2014)

  • The same pattern was observed from Generalized Linear Models (GLMs) considering all 40 surveyed sites: patch area was the only variable included in all models, and showed the highest fraction of hierarchical partitioning (HP) in explaining patterns of species richness (75.1% for both techniques), overall abundance (76.5% for line-transect censuses (LTC) and 76.1% for camera traps (CTs)), overall biomass (67.9% for LTC and 84.1% for CT), and composition (69.4% for LTC and 53.6% for CT)

  • Piecewise and linear models were considered equallygood‘ in explaining patterns of overall abundance and overall biomass based on LTC data and species composition based on CT data, whereas only a piecewise model could explain patterns of species composition based on LTC data

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Summary

Introduction

Both island and continental biotas worldwide have succumbed to unprecedented biodiversity loss, with current extinction rates nearly 1000 times higher than the pre-human background rate (Pimm et al 2014). Steep declines in species occupancy and abundance, which are often referred to as the hallmarks of defaunation (see Dirzo et al 2014), have been driven by myriad anthropogenic activities inducing wholesale ecological impacts. Habitat loss and fragmentation accelerate biodiversity decay, especially in forest biotas that are sensitive to non-forest habitats (Hanski 2015). Over the last 50 years, several studies have assessed patterns of species decline and extinction, in highly fragmented landscapes in tropical forests (Turner 1996; Benchimol & Peres 2015a). Fluctuations in small numbers of individuals persisting in local populations can induce faster and more severe impacts on ecosystem functions, providing a more sensitive indicator of biodiversity loss (Ceballos & Ehrlich 2002; Dirzo et al 2014). The demographic and effective sizes of populations persisting in isolated habitat remnants are critical, but have rarely been quantified in fragmented tropical landscapes

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