Long-term standardized ecological research in an Amazonian savanna: a laboratory under threat.

A few decades ago, researchers from the National Institute for Amazonian Research (INPA) started a pilot study to integrate the ecological studies of several organisms using monitoring plots, which then became the embryo for the creation of the RAPELD (Rapid Assessments and Long-term Ecological Research) system used by the Program for Biodiversity Research (PPBio) and the Long-term ecological research site POPA (PELD Western Pará). They installed and maintained permanent plots in an Amazonian-savanna patch near to the village of Alter do Chão. Amazonian savannas constitute a threatened ecosystem comprising only 6% of the Amazon biome. Most of the studies focused on three main long-term ecological research questions, but the site was also of importance for other inquiries and for the training of young researchers, contributing 71 articles so far and 32 masters and doctorate theses. Here, we present the experimental design and results of standardized studies in the savannas and forest fragments near Alter do Chão that have been carried out over the years. We discuss the future prospects and local threats to the area (e.g. soy crops and land speculation), and highlight the need to incorporate Alter do Chão villagers in land-use planning in the region.

ATLANTIC-CAMTRAPS: a dataset of medium and large terrestrial mammal communities in the Atlantic Forest of South America.

Our understanding of mammal ecology has always been hindered by the difficulties of observing species in closed tropical forests. Camera trapping has become a major advance for monitoring terrestrial mammals in biodiversity rich ecosystems. Here we compiled one of the largest datasets of inventories of terrestrial mammal communities for the Neotropical region based on camera trapping studies. The dataset comprises 170 surveys of medium to large terrestrial mammals using camera traps conducted in 144 areas by 74 studies, covering six vegetation types of tropical and subtropical Atlantic Forest of South America (Brazil and Argentina), and present data on species composition and richness. The complete dataset comprises 53,438 independent records of 83 species of mammals, includes 10 species of marsupials, 15 rodents, 20 carnivores, eight ungulates and six armadillos. Species richness averaged 13 species (±6.07 SD) per site. Only six species occurred in more than 50% of the sites: the domestic dog Canis familiaris, crab-eating fox Cerdocyon thous, tayra Eira barbara, south American coati Nasua nasua, crab-eating raccoon Procyon cancrivorus and the nine-banded armadillo Dasypus novemcinctus. The information contained in this dataset can be used to understand macroecological patterns of biodiversity, community, and population structure, but also to evaluate the ecological consequences of fragmentation, defaunation, and trophic interactions.

Disentangling the veil line for Brazilian biodiversity: An overview from two long-term research programs reveals huge gaps in ecological data reporting.

The lack of synthesized information regarding biodiversity is a major problem among researchers, leading to a pervasive cycle where ecologists make field campaigns to collect information that already exists and yet has not been made available for a broader audience. This problem leads to long-lasting effects in public policies such as spending money multiple times to conduct similar studies in the same area. We aim to identify this knowledge gap by synthesizing information available regarding two Brazilian long-term biodiversity programs and the metadata generated by them. Using a unique dataset containing 1904 metadata, we identified patterns of metadata distribution and intensity of research conducted in Brazil, as well as where we should concentrate research efforts in the next decades. We found that the majority of metadata were about vertebrates, followed by plants, invertebrates, and fungi. Caatinga was the biome with least metadata, and that there's still a lack of information regarding all biomes in Brazil, with none of them being sufficiently sampled. We hope that these results will have implications for broader conservation and management guiding, as well as to funding allocation programs.