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opencc-by-4.0Oct 2023View details →

Georeferenced data for the study Environmental suitability throughout the late Quaternary explains population genetic diversity

Data filtered from GBIF (datasetKey: 50c9509d-22c7-4a22-a47d-8c48425ef4a7)  Contains 150 records of the Sciurus aberti squirrel filtered in latitudinal windows of 5 degrees from 20 to 45 degrees N.

FIGURE 2 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)

FIGURE 2: (Left) Maximum clade credibility tree depicting the phylogenetic position of Pristimantis penelopus within the P. ridens series. Numbers on nodes indicate posterior probabilities. Numbers below nodes represent nodal support using the ultrafast bootstrap (see methods). Asterisks indicate nodal support above 95% in both Bayesian and ML methods. (Right) Haplotype network based on 460 bp of the COI region. Numbers of mutational steps are shown on the lines connecting haplotypes. Colors refer to geographic locations shown in Figure 1.

FIGURE 4 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)

FIGURE 4: Potential distribution of Pristimantis penelopus based on ecological niche modeling (red). Yellow dots represents occurrence localities used to calibrate the model. See main text for details.

FIGURE 1 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)

FIGURE 1: Geographic sampling of Pristimantis penelopus. Colored circles indicate sequenced specimens. Different colors represent the populations used in the genetic analysis (see Figure 2 for color codes).

FIGURE 3 in Extinction risk or lack of sampling in a threatened species: Genetic structure and environmental suitability of the neotropical frog Pristimantis penelopus (Anura: Craugastoridae)

FIGURE 3: Phenotypic variation of Pristimantis penelopus across its distribution. Localitites are shown in Appendix 1.

Fig. 2. 3 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei

Fig. 2. 3-Dimensional models of A) S. scabiei mite survival from laboratory data (Arlian et al., 1984a), and B) the estimated mite survival from GAM fit to the laboratory data (R2 = 0.834).

Fig. 5. A in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei

Fig. 5. A) Estimated mite survival within burrows across the eastern (low mange prevalence) and western (high mange prevalence) survey areas. B) The relationship between estimated mite survival and the elevation of burrows from the eastern and western areas.

Fig. 4 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei

Fig. 4. Relationship of burrow A) length, B) depth, C) elevation, and D) field trip number, to estimated mite survival time within burrow.

Fig. 3 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei

Fig. 3. Temporal profiles of A) air temperature, B) relative humidity, and C) estimated mite survival within wombat burrows and outside at the burrow entrances. D) Average estimated mite survival time at burrow entrances and within burrows (n = 33).

Fig. 6 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei

Fig. 6. Seasonal variation in estimated mite survival within wombat burrows. Note: in winter, the burrows were sampled with a different method (data loggers) compared to the spring and summer (robotic vehicle, the WomBot).

Fig. 1 in Environmental suitability of bare-nosed wombat burrows for Sarcoptes scabiei

Fig. 1. Location of study area at Musselroe Wind Farm, Cape Portland. Map of DPIPWE spotlight survey transect routes, red: west transect, blue: east transect. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

opencc-by-4.0Aug 2024View details →

Modelling environmental suitability of sorghum, wheat and maize in Europe under climate change (Code & data)

Wheat and maize play an important role as crops for human consumption and animal feed in Europe. To guarantee food security and the stability of the agricultural sector in Europe, it is crucial to determine how climate change will impact the environmental suitability and thus the potential geographic distribution of these crops. Sorghum, a crop that originates in Africa, has seen a recent increase in cultivation in Europe. Due to its tolerance to more extreme climate conditions and its versatility of use, it might inherit a high potential as an alternative crop. Occurrence data of sorghum, wheat and maize as well as several environmental variables were used as input data for an ensemble modelling approach that averages machine learning models for species distribution modelling (SDM). CHELSA served as a source for present bioclimatic conditions and future climate scenarios, namely SSP126 and SSP370 for the period 2041-2070, and HSWD supplied soil variables, since both climate and soil influence crop development. A set of models was evaluated to select the best performing models for the ensemble modelling. The ensemble models were extrapolated to the future scenarios to predict geographic shifts of suitable cultivation areas due to climate change and analyze sorghum’s potential as an alternative crop. Under the climate scenarios, the three crops saw a shift of suitability in Europe with losses in Southern Europe and expansions of suitable environmental conditions in the northeast of Europe. Sorghum was the crop with the highest potential to replace maize and wheat in Southern Europe in areas where they lose suitability under climate change. Therefore, sorghum confirmed its function as an alternative crop. It also was the crop that benefits consistently from climate change, growing its total suitable area in Europe under both climate scenarios. Maize loses total suitable area in Europe in both climate scenarios but kept the highest amount of total suitable area in Europe in all projected time periods. The outcome of this study is of high importance for European farmers and policy makers as it enables them to apply effective adaptation and mitigation strategies that will support crop production under future climate conditions.

opencc-zeroFeb 2023View details →

Climate change shrinks environmental suitability for a viviparous Neotropical skink

Anthropogenic global warming and deforestation are significant drivers of the global biodiversity crisis. Ectothermic and viviparous animals are especially vulnerable since high environmental temperatures can impair embryonic development, but we lack knowledge about these effects upon Neotropical organisms. Here, we estimate how much of the current area with suitable habitats overlaps with protected areas and model the combined effects of climate change and deforestation on the geographic distribution of the viviparous Neotropical lizard Notomabuya frenata (Scincidae). This species ranges in Brazil, Argentina, Paraguay, and Bolivia. We use environmental and physiological variables (locomotor performance and hours of activity) to predict suitable present and future areas, considering different scenarios of greenhouse gas emissions and deforestation. The most critical predictors of habitat suitability were isothermality (i.e., the ratio between mean diurnal temperature range and annual temperature range), precipitation during winter, and hours of activity under lower thermal extremes. Still, our models predict a contraction of suitable habitats in all future scenarios and the displacement of these areas towards eastern South America. In addition, protected areas are not enough to ensure suitable habitats for this species. Our findings highlight the vulnerability of tropical and viviparous ectotherms and suggest that even widely distributed species, such as N. frenata, may have their conservation compromised shortly due to the low representativeness of their suitable habitats in protected areas combined with the synergistic effects of climate change and deforestation. We stress the need for decision‐makers to consider the impact of range shifts in creating protected areas and managing endangered species.

publicFeb 2023View details →

Climate change shrinks environmental suitability for a viviparous Neotropical skink

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publicJun 2025View details →

Environmental DNA data of aquatic insects for habitat suitability models

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