Geiziane Tessarolo

Universidade Estadual de Goiás | UEG

With the advancements in bioinformatics and ecoinformatics tools, it has become feasible to utilize vast amounts of biodiversity information to describe biological patterns and attempt to assess the ecological and evolutionary processes underlying them, as well as to establish more effective and comprehensive conservation actions. However, existing...

Understanding the spatiotemporal distribution of species is fundamental for ecology, evolution and conservation. However, this and other aspects of biodiversity knowledge suffer from shortcomings and biases. Quantifying and mapping biodiversity knowledge shortfalls is therefore crucial to ascertain the current quality and completeness of biodiversi...

With the advancements in bioinformatics and ecoinformatics tools, it has become feasible to utilize vast amounts of biodiversity information to describe biological patterns and attempt to assess the ecological and evolutionary processes underlying them, as well as to establish more effective and comprehensive conservation actions. However, existing...

Although climate‐based hypotheses are widely used to explain large‐scale diversity patterns, they fall short of explaining the spatial variation among taxonomic groups. Integrating food web and metabolic theories into macroecology is a promising step forward, as they allow including explicit taxon‐specific traits that can potentially mediate the re...

Aim Ecological niche models (ENMs) are based mainly on environmental (mostly climatic) and occurrence data to predict the potential distribution of species. In freshwater habitats, species dispersal is not restricted only by physical barriers but also by the directional movement of the hydrographic network, which can be considered through spatial p...

Ecological processes are often spatially and temporally structured, potentially leading to autocorrelation either in environmental variables or species distribution data. Because of that, spatially-biased in-situ samples or predictors might affect the outcomes of ecological models used to infer the geographic distribution of species and diversity....

Species are the currency of most biodiversity studies. However, many shortfalls and biases remain in our biodiversity estimates, preventing a comprehensive understanding of the eco-evolutionary processes that have shaped the biodiversity currently available on Earth. Biased biodiversity estimates also jeopardize the effective implementation of data...

Species extinction risk status is critical to support conservation actions. However, full assessments published on the Red List are slow and resource intensive. To tackle assessments for mega-diverse groups, gains can be made through preliminary assessments that can help prioritize efforts toward full assessments. Here, we quantified how incomplete...

The biodiversity knowledge has several deficits. The wallacean shortfall—related to species distribution unknowledge—is one of the most studied shortfalls. It is important to identify gaps and biases in spatial biodiversity knowledge. However, to find out where the main biodiversity deficits are we need to know how the biodiversity spatial sampling...

Biodiversity data can be analysed to predict species distribution at various scales of time and space. However, survey completeness and temporal decay in data quality introduce uncertainty into biodiversity models. Researchers Joaquín Hortal, Juliana Stropp (National Museum of Natural Sciences, Spain), Richard Ladle (University of Porto, Portugal),...

The increase in online and openly accessible biodiversity databases provides a vast and invaluable resource to support research and policy. However, without scrutiny, errors in primary species occurrence data can lead to erroneous results and misleading information. Here, we introduce the Biodiversity Data Cleaning ( bdc ), an R package to address...

Protected Areas (PAs) are fundamental to preserve biodiversity and ecosystem services. Moreover, PAs also provide different cultural, economic and social services for human populations. The interaction of visitors with natural habitats of PAs through contemplation or ecotourism activities (sports, education, and other activities), provides importan...

Species distribution models (SDMs) are subject to many sources of uncertainty, limiting their application in research and practice. One of their main limitations is the quality of the distributional data used to calibrate them, which directly influences the accuracy of model predictions. We propose a standardized methodology to create maps, describ...

Aim: Closing knowledge gaps in species taxonomy and distribution (i.e. Linnean and Wallacean shortfalls, respectively) require spatially distributed high‐quality data. However, studies on terrestrial taxa have shown that occurrence data are biased owing to higher sampling efforts towards areas with greater accessibility, research infrastructure and...

Species distribution models (SDM) are widely used as indicators of different aspects of geographical ranges for many purposes, from conservation to biogeographical and evolutionary analyses. However, these techniques are susceptible to various sources of uncertainty. Data coverage, species’ ecology, and the characteristics of their geographic distr...

In recent years, the Cerrado deforestation has increased considerably, reaching rates higher than in the Amazonian realm. Although the effects of deforestation are well known, the understanding of its drives at regional levels is incipient. Most studies consider that a driver influences deforestation likewise in all regions. However, deforestation...

Aim Historical climate variations, current climate and human impacts are known to influence current species richness, but their effects on phylogenetic and trait diversity have been seldom studied. We investigated the relationship of these three factors with the independent variations of species, phylogenetic and trait diversity of European mammals...

We experimentally evaluated how different temperatures affect germination of individual seedlings of Dipteryx alata, and estimated the impact of climate change on the species using ecological niche modeling. A total of 240 seeds were randomly distributed among three different temperature treatments (32 ºC, 36 ºC, and 40 ºC), and monitored for 35 da...

Predictions by ecological niche models (ENM) are affected by several sources of uncertainty including the modeling methods and type of variables employed. The predictive uncertainty has been often assessed in terrestrial ecosystems, but it is still unknown how freshwater variables affect the performance of ENMs, contributing to unreliable predictio...

Species distribution models (SDMs) have been widely used in the scientific literature. The majority of SDMs use climate data or other abiotic variables to forecast the potential distribution of a species in geographic space. Biotic interactions can affect the predicted spatial distribution of a species in many ways across multiple spatial scales, a...

The impacts of global climate change have been a worldwide concern for several research areas, including those dealing with resources essential to human well being, such as agriculture, which directly impact economic activities and food security. Here we evaluate the relative effect of climate (as indicated by the Ecological Niche Model—ENM) and ag...

Data about the municipalities used in present papers. (XLSX)

Information on methods and results of ecological niche model of soybean. (DOCX)

Spatial and/or temporal biases in biodiversity data can directly influence the utility, comparability, and reliability of ecological and evolutionary studies. While the effects of biased spatial coverage of biodiversity data are relatively well known, temporal variation in data quality (i.e., the congruence between recorded and actual information)...

In the face of climate change threats, governments are drawing attention to policies for mitigating its effects on biodiversity. However, the lack of distribution data makes predictions at species level a difficult task, mainly in regions of higher biodiversity. To overcome this problem, we use native landcover as a surrogate biodiversity, because...

Furcraea foetida (Asparagaceae) is a native plant of Central America and northern South America but there is no information about its country of origin. The species was introduced into Brazil and is now considered invasive, particularly in coastal ecosystems. To date, nothing is known about the environmental factors that constrain its distribution...

1. In recent years, decision‐makers in Argentina have allowed the legal import of thousands of specimens of freshwater turtles. Given their invasive potential, many of the imported species have become established and have spread to other countries. 2. The three most commonly imported species recently have been Graptemys pseudogeographica, Trachemys...

Anuran advertisement calls receive much attention because of their importance in mating behaviour and the recognition of conspecifics. Herein, we studied geographic variation in the advertisement call of Dendropsophus cruzi from central Brazil, to test the hypothesis that between-population differences in call parameters can be explained by geograp...

Anuran advertisement calls receive much attention because of their importance in mating behaviour and the recognition of conspecifics. Herein, we studied geographic variation in the advertisement call of Dendropsophus cruzi from central Brazil, to test the hypothesis that between-population differences in call parameters can be explained by geograp...

AimSpecies distribution models (SDM) can be used to predict the location of unknown populations from known species occurrences. It follows that how the data used to calibrate the models are collected can have a great impact on prediction success. We evaluated the influence of different survey designs and their interaction with the modelling techniq...

Visualisations and graphics are fundamental to studying complex subject matter. However, beyond acknowledging this value, scientists and science-policy programmes rarely consider how visualisations can enable discovery, create engaging and robust reporting, or support online resources. Producing accessible and unbiased visualisations from complicat...

aBsTracT. Barycholos ternetzi is an anuran species from the brazilian cerrado which can be found in gallery forests and cerrado sensu strictu. currently, the only available information about the natural history of B. ternetzi is a previous description of its adver-tisement call. Herein, we studied the vocal repertoire of this species in october 200...