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Tropical forests are facing several impacts from anthropogenic disturbances, climate change, and extreme climate events, with potentially severe consequences for ecological functions, such as predation on folivorous invertebrates. Folivory has a major influence on tropical forests by affecting plant fitness and overall seedling performance. However, we do not know whether the predation of folivorous arthropods by birds, mammals, reptiles, and other arthropods is affected by anthropogenic disturbances such as selective logging and forest fires. We investigated the impacts of both pre-El Niño human disturbances and the 2015–2016 El Niño understorey fires on the predation of 4500 artificial caterpillars across 30 Amazonian forest plots. Plots were distributed in four pre-El Niño forest classes: undisturbed, logged, logged-and-burned, and secondary forests, of which 14 burned in 2015–16. We found a higher predation incidence in forests that burned during the El Niño in comparison with unburned ones. Moreover, logged-and-burned forests that burned again in 2015–16 were found to have significantly higher predation incidence by vertebrates than other forest classes. However, overall predation incidence in pre-El Niño forest disturbance classes was similar to undisturbed forests. Arthropods were the dominant predators of artificial caterpillars, accounting for 91.5% of total predation attempts. Our results highlight the resilience of predation incidence in human-modified forests, although the mechanisms underpinning this resilience remain unclear. Abstract in Portuguese is available with online material.

Aichi Target 12 of the Convention on Biological Diversity (CBD) contains the aim to ‘prevent extinctions of known threatened species’. To measure the degree to which this was achieved, we used expert elicitation to estimate the number of bird and mammal species whose extinctions were prevented by conservation action in 1993–2020 (the lifetime of the CBD) and 2010–2020 (the timing of Aichi Target 12). We found that conservation action prevented 21–32 bird and 7–16 mammal extinctions since 1993, and 9–18 bird and two to seven mammal extinctions since 2010. Many remain highly threatened and may still become extinct. Considering that 10 bird and five mammal species did go extinct (or are strongly suspected to) since 1993, extinction rates would have been 2.9–4.2 times greater without conservation action. While policy commitments have fostered significant conservation achievements, future biodiversity action needs to be scaled up to avert additional extinctions.

© 2018 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. Secondary forests (SFs) regenerating on previously deforested land account for large, expanding areas of tropical forest cover. Given that tropical forests rank among Earth’s most important reservoirs of carbon and biodiversity, SFs play an increasingly pivotal role in the carbon cycle and as potential habitat for forest biota. Nevertheless, their capacity to regain the biotic attributes of undisturbed primary forests (UPFs) remains poorly understood. Here, we provide a comprehensive assessment of SF recovery, using extensive tropical biodiversity, biomass, and environmental datasets. These data, collected in 59 naturally regenerating SFs and 30 co-located UPFs in the eastern Amazon, cover >1,600 large- and small-stemmed plant, bird, and dung beetles species and a suite of forest structure, landscape context, and topoedaphic predictors. After up to 40 years of regeneration, the SFs we surveyed showed a high degree of biodiversity resilience, recovering, on average among taxa, 88% and 85% mean UPF species richness and composition, respectively. Across the first 20 years of succession, the period for which we have accurate SF age data, biomass recovered at 1.2% per year, equivalent to a carbon uptake rate of 2.25 Mg/ha per year, while, on average, species richness and composition recovered at 2.6% and 2.3% per year, respectively. For all taxonomic groups, biomass was strongly associated with SF species distributions. However, other variables describing habitat complexity—canopy cover and understory stem density—were equally important occurrence predictors for most taxa. Species responses to biomass revealed a successional transition at approximately 75 Mg/ha, marking the influx of high-conservation-value forest species. Overall, our results show that naturally regenerating SFs can accumulate substantial amounts of carbon and support many forest species. However, given that the surveyed SFs f

Birds are tempting to include in studies of tropical ecology and conservation. Yet, they are deceptively difficult to detect, identify and, particularly, count. We briefly review some common challenges of surveying tropical birds, offer guidance on the most important decisions to consider when selecting methodologies, and recommend best practices to ensure collection of reliable, repeatable, and reviewer-friendly survey data.

The digitalization of museum collections and concurrent increase in citizen-scienceinitiatives is ushering in an era of unprecedented availability of primary biodiversity data. These changespermit a reappraisal of phenological patterns of tropical species. I examined spatio-temporal variation in thedistribution patterns of an ostensibly sedentary endemic Brazilian flycatcher, the Ash-throated Casiornis(Casiornis fuscus), using both specimen data from museums and sighting records and rich media data fromcitizen-science initiatives. I found compelling evidence for partial intratropical longitudinal migration toAmazonia and the Cerrado biomes from the species’ core range in the semi-desert Caatinga biome andadjacent ecotones. These records from outside of the Caatinga were distributed during the height of the dryseason from April to October, although the Caatinga is not entirely vacated at this time. This pattern ofpartial migration leads to a doubling of the distributional range of Ash-throated Casiornises and stronglysuggests that the species is a breeding near-endemic of the Caatinga biome. This pattern was potentiallypreviously not apparent because of significant biases in specimen collection between biomes, giving a falsesense of abundance in the Brazilian Amazon.