Combining citizen science, phylogenetics, and bioacoustics to inform taxonomy and conservation of the Near Threatened (Anura, Odontophrynidae).

Herein, basel on novel data gathered by citizens scientists and specialists, we contribute to the improvement of scientific knowledge and conservation of the Near Threatened in order to: 1) test for the first time the phylogenetic position and a species delimitation of through a molecular approach; 2) describe a larger sample of its advertisement call to properly encompass the species intraspecific variation; 3) describe for the first time the release call; and 4) provide novel insights on the species conservation status. Our 16S tree confidently grouped with , , and . The average sequence divergence between and its congeners ranged from 2.

Leveraging citizen science for monitoring urban forageable plants.

Urbanization brings forth social challenges in emerging countries such as Brazil, encompassing food scarcity, health deterioration, air pollution, and biodiversity loss. Despite this, urban areas like the city of São Paulo still boast ample green spaces, offering opportunities for nature appreciation and conservation, enhancing city resilience and livability. Citizen science is a collaborative endeavor between professional scientists and nonprofessional scientists in scientific research that may help to understand the dynamics of urban ecosystems.

Citizen science data on urban forageable plants: a case study in Brazil.

This paper presents two key data sets derived from the project. The first data set is a comprehensive catalog of edible fruit-bearing plant species, native or introduced to Brazil. The second data set, sourced from the iNaturalist platform, tracks the distribution and monitoring of these plants within urban landscapes across Brazil.

Citizen science expanding knowledge: a new record of the lizard (Squamata, Gymnophthalmidae) in south-eastern Brazil.

Background: Through citizen science projects, like Projeto Bromélias, community members contribute valuable data on species diversity, notably those with low detectability like the lizard. A recent observation in the State of Espírito Santo (south-eastern Brazil), amidst coffee and eucalyptus crops, highlights the utility of widespread technology use in tracking and documenting wildlife. Such initiatives are especially beneficial for mapping the distribution of rare, endemic or endangered reptiles.

Citizen science in marine litter research: A review.

Citizen science (CS) can help to tackle the emerging and worldwide problem of marine litter (ML), from collecting data to engaging different stakeholders. We reviewed what and how the scientific literature is reporting CS on ML to identify possible gaps to be improved. The 92 search results (separate occasions when 48 different CS initiatives were discussed across 85 publication records) revealed an under-representation of studies in developing regions.

Data Reliability in a Citizen Science Protocol for Monitoring Stingless Bees Flight Activity.

Although the quality of citizen science (CS) data is often a concern, evidence for high-quality CS data increases in the scientific literature. This study aimed to assess the data reliability of a structured CS protocol for monitoring stingless bees' flight activity. We tested (1) data accuracy for replication among volunteers and for expert validation and (2) precision, comparing dispersion between citizen scientists and expert data.

Temporal series analysis of abiotic data for a subtropical Brazilian rocky shore.

Monthly data of abiotic variables (sea surface temperature; minimum and maximum air temperature; minimum, mean and maximum air humidity; minimum, mean and maximum atmospheric pressure; minimum, mean and maximum dew point; sea surface salinity; wind speed and direction; minimum and maximum tidal level and photosynthetically available radiation) were collected from different online repositories, all regarding the period between January 2013 and December 2017, from localities near Mar Casado Beach rocky shore, in São Paulo State southern coast, Brazil. Principal Component Analysis was performed to verify data variance and correlations among variables. Linear regression decomposition methods were applied to identify trend and seasonal patterns within the time indexed data.

Global environmental changes: setting priorities for Latin American coastal habitats.

As the effects of the Global Climate Changes on the costal regions of Central and South Americas advance, there is proportionally little research being made to understand such impacts. This commentary puts forward a series of propositions of strategies to improve performance of Central and South American science and policy making in order to cope with the future impacts of the Global Climate Changes in their coastal habitats.