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opennotspecifiedAug 2022View details →

Fig. 1 in Utilization of Community Science Data to Explore Habitat Suitability of Basal Termite Genera

Fig. 1. Summary tree showing current state of termite phylogeny. Simplified schematic based on familial termite relationships recovered with high support in (Engel et al. 2009, Legendre et al. 2015). Stylotermitidae is placed in its current position based on (Bucek et al. 2019). Branches representing unresolved relationships (bootstrap values <75) are indicated by *. The cockroach family Cryptocercidae was used as an outgroup, and soldier illustrations correlate with families used in summary tree. A. Mastotermes (Froggatt 1897, Blattodea Mastotermitidae), B. Zootermopsis angusticollis (Hagen 1858, Blattodea, Archotermopsidae), C. Hodotermopsis sjostedi (Holmgren 1911, Blattodea, Archotermopsidae), D. Anacanothermoes ochraceus (Burmeister 1839, Blattodea, Hodotermitidae), E. Porotermes adamsoni (Froggat 1897, Blattodea, Stolotermitidae), F. Cryptotermes brevis (Walker 1853, Blattodea, Kalotermitidae), G. Stylotermes halumicus (Liang, et al. 2017, Blattodea, Stylotermitidae), H. Coptotermes formosanus (Shiraki 1909, Blattodea, Rhinotermitidae), I. Serritermes serrifer (Hagen and Bates, Blattodea, Serritermitidae), J. Neocapritermes taraqua (Krishna and Araujo 1968, Blattodea,Termitidae), K. Nasutitermes corniger (Motschulsky 1855, Blattodea,Termitidae)

FIG. 10 in A Lentic Breeder in Lotic Waters: Sierra Nevada Yellow-Legged Frog (Rana sierrae) Habitat Suitability in Northern Sierra Nevada Streams

FIG. 10. Distribution of depth and velocity values over time within cascade (CAS), riffle (LGR), and pool (POO) geomorphic unit types at (A) Lone Rock Creek and (B) South Fork Tributary. Dashed and shaded box in lower left corner of each panel represents high suitability microhabitat for adults (includes subadults) of velocity,0.1 m s–1 and depth,0.3 m.

FIG. 8 in A Lentic Breeder in Lotic Waters: Sierra Nevada Yellow-Legged Frog (Rana sierrae) Habitat Suitability in Northern Sierra Nevada Streams

FIG. 8. Mean predicted probability of microhabitat use by tadpoles of R. sierrae for all study sites combined for all possible values from a given predictor variable from 1,000 bootstrapped logistic regression models. Shading and bars represent 95% credible intervals. Substrate categories are silt (Slt), sand (Snd), fine gravel (FGrav), coarse gravel (CGrav), cobble (Cob), boulder (Bld), and bedrock (Bed).

FIG. 6 in A Lentic Breeder in Lotic Waters: Sierra Nevada Yellow-Legged Frog (Rana sierrae) Habitat Suitability in Northern Sierra Nevada Streams

FIG. 6. Mean predicted probability of microhabitat use by adult R. sierrae (includes subadults) for all study sites combined for all possible values from a given predictor variable from the 1,000 bootstrapped logistic regression models. Shading and bars represent 95% credible intervals. Substrate categories are silt (Slt), sand (Snd), fine gravel (FGrav), coarse gravel (CGrav), cobble (Cob), boulder (Bld), and bedrock (Bed).

FIG. 4 in A Lentic Breeder in Lotic Waters: Sierra Nevada Yellow-Legged Frog (Rana sierrae) Habitat Suitability in Northern Sierra Nevada Streams

FIG. 4. Distribution of use and available microhabitat points within each substrate category for locations of (A) adult (includes subadults) and (B) tadpoles of R. sierrae at each study site. To better visualize the number of points within each substrate category, violin boxplots were overlaid onto jittered points for each substrate category. The overlay shows a mirrored kernel density estimation for all substrate size categories to illustrate the distribution of the data. IND ¼ Independence Creek, LRC ¼ Lone Rock Creek, SFRC ¼ South Fork Rock Creek, SFT ¼ South Fork Tributary, SFTT ¼ South Fork Tadpole Tributary.

FIG. 3 in A Lentic Breeder in Lotic Waters: Sierra Nevada Yellow-Legged Frog (Rana sierrae) Habitat Suitability in Northern Sierra Nevada Streams

FIG. 3. Hydraulic variables measured for locations and available microhabitat points of (A) adult and (B) tadpoles of R. sierrae in five study sites in the Sierra Nevada. Figures show the relationship between total depth and mid-column velocity at both use and available locations for (A) adults (includes subadults) and (B) tadpoles at each study site. IND ¼ Independence Creek, LRC ¼ Lone Rock Creek, SFRC ¼ South Fork Rock Creek, SFT ¼ South Fork Tributary, SFTT ¼ South Fork Tadpole Tributary.

FIG. 2 in A Lentic Breeder in Lotic Waters: Sierra Nevada Yellow-Legged Frog (Rana sierrae) Habitat Suitability in Northern Sierra Nevada Streams

FIG. 2. Hydrographs of stream stage (depth) at three of five study sites in the northern Sierra Nevada over the course of the study. (A) South Fork Rock Creek (SFRC) and (B) Lone Rock Creek (LRC) hydrographs show a strong seasonal signal of winter storm events and spring snowmelt recession into low flow in summer, while (C) Independence Creek (IND) shows modified flow releases in spring and augmented flow releases in late summer from the upstream reservoir. Data were collected with pressure transducers placed in pools that remained wet over the summer.

FIG. 5 in A Lentic Breeder in Lotic Waters: Sierra Nevada Yellow-Legged Frog (Rana sierrae) Habitat Suitability in Northern Sierra Nevada Streams

FIG. 5. Distribution of use and available points within each total cover decile for locations and available microhabitat points of (A) adult (includes subadults) and (B) tadpoles of R. sierrae at each study site. To better visualize the number of points within each decile, points are jittered. Overlay shows a mirrored kernel density estimate for total cover deciles to illustrate the distribution of the data. IND ¼ Independence Creek, LRC ¼ Lone Rock Creek, SFRC ¼ South Fork Rock Creek, SFT ¼ South Fork Tributary, SFTT ¼ South Fork Tadpole Tributary.

Figure 7 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 7: Adult roadkilled hyaenas in Batna (Algeria) during the study period on the national road 3: (A) January, (B) December 2018, (C) October 2020, (D) December 2020 (FCB reports).

Figure 6 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 6: Response curves plot generated by MaxEnt that show how each environmental variable affects the MaxEnt prediction: (A) shrubland, (B) slope, (C) built-up areas, (D) distance to roads.

Figure 5 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 5: Jacknife test for the relative importance of environmental variables in the development of the MaxEnt model for the hyaena.

Figure 4 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 4: Habitat suitability for hyaena in Batna, Algeria. The model is based on occurrence records and seven environmental variables. Warmer colours represent the most suitable habitats. The probability of species occurrence ranges from 0 (unsuitable) to 1 (most suitable).

Figure 2 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 2: Direct sightings of the hyaena in Batna: (A) Natal den with four hyaenas (one adult and three sub-adults) observed in the central south part of Batna (photo: Tahar Mebarki); (B) Hyaena captured on camera trap in northern Batna (photo: Hakim Benmokhtar).

Figure 1 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 1: Map of the study area, showing the location of Batna in Algeria, and the limits of the Belezma National Park (BNP) (ALOS World 3D 30-m DEM. V3.2).

opencc-zeroDec 2013View details →

Data from: Temporally dynamic habitat suitability predicts genetic relatedness among caribou

Landscape heterogeneity plays a central role in shaping ecological and evolutionary processes. While species utilization of the landscape is usually viewed as constant within a year, the spatial distribution of individuals is likely to vary in time in relation to particular seasonal needs. Understanding temporal variation in landscape use and genetic connectivity has direct conservation implications. Here, we modelled the daily use of the landscape by caribou in Quebec and Labrador, Canada and tested its ability to explain the genetic relatedness among individuals. We assessed habitat selection using locations of collared individuals in migratory herds and static occurrences from sedentary groups. Connectivity models based on habitat use outperformed a baseline isolation-by-distance model in explaining genetic relatedness, suggesting that variations in landscape features such as snow, vegetation productivity and land use modulate connectivity among populations. Connectivity surfaces derived from habitat use were the best predictors of genetic relatedness. The relationship between connectivity surface and genetic relatedness varied in time and peaked during the rutting period. Landscape permeability in the period of mate searching is especially important to allow gene flow among populations. Our study highlights the importance of considering temporal variations in habitat selection for optimizing connectivity across heterogeneous landscape and counter habitat fragmentation.

opencc-zeroDec 2018View details →

Data from: Future suitability of habitat in a migratory ungulate under climate change

With climate change, the effect of global warming on snow cover is expected to cause range expansion and enhance habitat suitability for species at their northern distribution limits. However, how this depend on landscape topography and sex in size-dimorphic species remains uncertain, and is further complicated for migratory animals following climate-driven seasonal resource fluctuations across vast landscapes. Using 11 years of data from a partially migratory ungulate at their northern distribution ranges, the red deer (Cervus elaphus), we predicted sex-specific summer and winter habitat suitability in diverse landscapes under medium and severe global warming. We found large increases in future winter habitat suitability, resulting in expansion of winter ranges as currently unsuitable habitat became suitable. Even moderate warming decreased snow cover substantially, with no suitability difference between warming scenarios. Winter ranges will hence not expand linearly with warming, even for species at their northern distribution limits. Although less pronounced than in winter, summer ranges also expanded and more so under severe warming. Summer habitat suitability was positively correlated with landscape topography and ranges expanded more for females than males. Our study highlights the complexity of predicting future habitat suitability for conservation and management of size-dimorphic, migratory species under global warming.

opencc-zeroDec 2017View details →

Data from: Which species, how many, and from where: Integrating habitat suitability, population genomics, and abundance estimates into species reintroduction planning

Extirpated organisms are reintroduced into their former ranges worldwide to combat species declines and biodiversity losses. The growing field of reintroduction biology provides guiding principles for reestablishing populations, though criticisms remain regarding limited integration of initial planning, modeling frameworks, interdisciplinary collaborations, and multi-species approaches. We used an interdisciplinary, multi-species, quantitative framework to plan reintroductions of three fish species into Abrams Creek, Great Smoky Mountains National Park, USA. We first assessed the appropriateness of habitat at reintroduction sites for banded sculpin (Cottus carolinae), greenside darter (Etheostoma blennioides), and mottled sculpin (Cottus bairdii) using species distribution modeling. Next, we evaluated the relative suitability of nine potential source stock sites using population genomics, abundance estimates, and multiple-criteria decision analysis (MCDA) based on known correlates of reintroduction success. Species distribution modeling identified mottled sculpin as a poor candidate, but banded sculpin and greenside darter as suitable candidates for reintroduction based on species-habitat relationships and habitats available in Abrams Creek. Genotyping by sequencing revealed acceptable levels of genetic diversity at all candidate source stock sites, identified population clusters, and allowed for estimating the number of fish that should be included in translocations. Finally, MCDA highlighted priorities among candidate source stock sites that were most likely to yield successful reintroductions based on differential weightings of habitat assessment, population genomics, and the number of fish available for translocation. Our integrative approach represents a unification of multiple recent advancements in the field of reintroduction biology and highlights the benefit of shifting away from simply choosing nearby populations for translocation to an information-based science with strong a priori planning coupled with several suggested posteriori monitoring objectives. Our framework can be applied to optimize reintroduction successes for a multitude of organisms and advances the science of reintroduction biology by simultaneously addressing a variety of past criticisms of the field.

opennotspecifiedDec 2016View details →

Figure 11. Predicted suitable habitat for the Eirenis persicus species group. A in Alpine-Himalayan orogeny drove correlated morphological, molecular, and ecological diversification in the Persian dwarf snake (Squamata: Serpentes: Eirenis persicus)

Figure 11. Predicted suitable habitat for the Eirenis persicus species group. A, western operational taxonomic unit (OTU) specimens; B, eastern and nigrofasciatus OTUs. The model was reclassified into ten equal probability classes. Only classes with probabilities greater than 60% are presented here. Maximum training sensitivity plus specificity logistic threshold (dark grey) is equal to 15.7% in (A) and 23% in (B). In (A), circles indicate the south-western Iran sub-OTU, ◆ indicate the south-eastern Turkey and western Iran sub-OTU, and plus symbols indicate the northern Iran specimens. In (B), circles indicate specimens of the nigrofasciatus OTU, triangles indicate the eastern Iran and Turkmenistan sub-OTU, plus symbols indicate the north-eastern Pakistan sub-OTU, and stars indicate the localities of the specimens referred to Eirenis mcmahoni.

opencc-by-4.0Jan 2023View details →

Data used to generate results for Meireles et al. 2023. The future of suitable habitats of an endangered Neotropical grassland bird: a path to extinction? Ecology and Evolution.

Here we include all occurrence records (264) found for Campo Miner, in addition to the 47 records of current distribution of the species (*) used for ecological niche modeling analyses.