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Figure 5 in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)

Figure 5. Used elevation, inclination (violin plots) and aspect (histogram) of the Balkan chamois in Giona Mt. Black lines in the violin plots indicate 95% probability of occurrence in terms of Fixed Kernel Density Estimator and white dots indicate median values.

Figure 4. Seasonal range generated from a in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)

Figure 4. Seasonal range generated from a Fixed Kernel Density Estimator (FKDE) (95% probability) and respective core areas of Balkan chamois in Giona Mt for (A) winter, (B) spring, (C) summer and (D) autumn. In the upper right corner the diagram presents the delineation of the probability of species occurrence within the core area.

Figure 3 in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)

Figure 3. Annual range and core area of Balkan chamois in the study area, and overlap with the Natura 2000 site in Giona Mt.

Figure 1 in Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)

Figure 1. Balkan chamois distribution in Greece, modified from Papaioannou and Kati 2007 (see Appendix 1).

Figure 3 in The influence of habitat features on amphibian distribution in Northeastern Greece

Figure 3. Bi-plot of amphibian species with significant environmental and isolation variables at the 2000-m scale after a canonical correspondence analysis.

opencc-zeroSep 2020View details →

Supplementary material 1 from: Muchuku JK, Gichira AW, Zhao S-Y, Chen J-M, Chen L-Y, Wang Q-F (2020) Distribution pattern and habitat preference for Lobelia species (Campanulaceae) in five countries of East Africa. PhytoKeys 159: 45-60. https://doi.org/10.3897/phytokeys.159.54341

Tables S1–S12

opencc-by-4.0Sep 2020View details →

Figure 1 from: Muchuku JK, Gichira AW, Zhao S-Y, Chen J-M, Chen L-Y, Wang Q-F (2020) Distribution pattern and habitat preference for Lobelia species (Campanulaceae) in five countries of East Africa. PhytoKeys 159: 45-60. https://doi.org/10.3897/phytokeys.159.54341

Figure 1 The major vegetation regions in East Africa, modified from Kiage and Liu (2006). Two pictures were used as examples of giant lobelias and herbaceous lobelias. The left picture is the giant Lobelia deckenii Hemsl. from Mt Kenya, while the right picture is the herbaceous Lobelia lindblomii Mildbr. from Mt Elgon (pictures by Ling-Yun Chen).

opencc-zeroSep 2020View details →

Predictive multi-scale occupancy models at range-wide extents: effects of habitat and human disturbance on distributions of wetland birds

Aim: Predicting distributions is fundamental to ecology, yet hindered by spatially-restricted sampling, scale-dependent relationships, and detection error associated with field surveys. Predictive species distribution models (SDMs) are nonetheless vital for conservation of many species. We developed a framework for building predictive SDMs with multi-scale data, and used it to develop range-wide breeding-season SDMs for 14 marsh bird species of concern. Location: USA. Methods: We built SDMs using data from range-wide surveys conducted over 14 years, and habitat and disturbance covariates measured at multiple spatial scales. We built hierarchical occupancy models that included heterogeneity in detectability during sampling, and used Bayesian model selection to regulate model complexity (covariates and scales) based explicitly on spatial predictive abilities. We thus integrated model selection for optimizing out-of-sample prediction, range-wide sampling over broad conditions, multi-scale analyses and scale-optimization, and species-specific detectability for a suite of wide-ranging species. Results: Distributions of marsh birds were affected by local wetland conditions, but also by agricultural, urban, and hydrologic disturbances operating from local scales (100 – 500 m) to the watershed level. Variables measuring human disturbances improved prediction for most species, and every species was affected by attributes at > 1 scale. Five species showed evidence for continental-scale range contraction during the study. Main conclusions: We demonstrate how hierarchical occupancy models can be optimized for prediction across a species' range at the extent of a continent while also accounting for imperfect detection, and thus describe a generalizable approach that can be used for any species. We provide the first data-driven, empirical SDMs built at the range-wide extent for most of our 14 study species and demonstrate that previous studies focused on local distributions and the effects of fine-scale wetland vegetation missed important broad-scale drivers of occupancy for marsh birds.

opencc-zeroDec 2016View details →

Data from: Suitability of Laurentian Great Lakes for invasive species based on global species distribution models and local habitat

Efficient management and prevention of species invasions requires accurate prediction of where species of concern can arrive and persist. Species distribution models provide one way to identify potentially suitable habitat by developing the relationship between climate variables and species occurrence data. However, these models when applied to freshwater invasions are complicated by two factors. The first is that the range expansions that typically occur as part of the invasion process violate standard species distribution model assumptions of data stationarity. Second, predicting potential range of freshwater aquatic species is complicated by the reliance on terrestrial climate measurements to develop occurrence relationships for species that occur in aquatic environments. To overcome these obstacles, we combined a recently developed algorithm for species distribution modeling—range bagging—with newly available aquatic habitat-specific information from the North American Great Lakes region to predict suitable habitat for three potential invasive species: golden mussel, killer shrimp, and northern snakehead. Range bagging may more accurately predict relative suitability than other methods because it focuses on the limits of the species environmental tolerances rather than central tendency or "typical" cases. Overlaying the species distribution model output with aquatic habitat-specific data then allowed for more specific predictions of areas with high suitability. Our results indicate there is suitable habitat for northern snakehead in the Great Lakes, particularly shallow coastal habitats in the lower four Great Lakes where literature suggests they will favor areas of wetland and submerged aquatic vegetation. These coastal areas also offer the highest suitability for golden mussel, but our models suggest they are marginal habitats. Globally, the Great Lakes provide the closest match to the currently invaded range of killer shrimp, but they appear to pose an intermediate risk to the region. Range bagging provided reliable predictions when assessed either by a standard test set or by tests for spatial transferability, with golden mussel being the most difficult to accurately predict. Our approach illustrates the strength of combining multiple sources of data, while reiterating the need for increased measurement of freshwater habitat at high spatial resolutions to improve the ability to predict potential invasive species.

opencc-zeroDec 2016View details →

Data from: Habitat-based species distribution modelling of the Hawaiian deepwater snapper-grouper complex

Deepwater snappers and groupers are valuable components of many subtropical and tropical fisheries globally and understanding the habitat associations of these species is important for spatial fisheries management. Habitat-based species distribution models were developed for the deepwater snapper-grouper complex in the main Hawaiian Islands (MHI). Six eteline snappers (Pristipomoides spp., Aphareus rutilans, and Etelis spp.) and one endemic grouper (Hyporthodus quernus) comprise the species complex known as the Hawaiian Deep Seven Bottomfishes. Species occurrence was recorded using baited remote underwater video stations deployed between 30 and 365 m (n = 2381) and was modeled with 12 geomorphological covariates using GLMs, GAMs, and BRTs. Depth was the most important predictor across species, along with ridge-like features, rugosity, and slope. In particular, ridge-like features were important habitat predictors for E. coruscans and P. filamentosus. Bottom hardness was an important predictor especially for the two Etelis species. Along with depth, rugosity and slope were the most important habitat predictors for A. rutilans and P. zonatus, respectively. Models built using GAMs and BRTs generally had the highest predictive performance. Finally, using the BRT model output, we created species-specific distribution maps and demonstrated that areas with high predicted probabilities of occurrence were positively related to fishery catch rates.

opennotspecifiedOct 2020View details →

Figure 1 in Mollusk distribution in four habitats along a salinity gradient in a coastal lagoon from the Gulf of Mexico

Figure 1. Location of Mecoacan lagoon and study sites (S1 – S6).

opencc-zeroFeb 2022View details →

Distribution and habitat attributes associated with the Himalayan red panda in the westernmost distribution range

The Himalayan red panda (Ailurus fulgens), a recently confirmed distinct species in the red panda genus, is distributed in Nepal, India, Bhutan and south Tibet. Nepal represents the western most distribution of the Himalayan red panda. This study aim to determine important habitat features influencing the distribution of red panda and recommend possible habitat corridors. This manuscript described current potential habitat of 3,222 km2 with the relative abundance of 3.34 signs/km in Nepal. Aspect, canopy cover, bamboo cover and distance to water were the important habitat attributes. It suggested five potential corridors in western Nepal. Overall, the study has important implications for conservation of the Himalayan red panda in western distribution range.

Supplementary material 7 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

Female of Osmia pilicornis thickening nectar :

Supplementary material 3 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

Female of Osmia pilicornis provisioning brood cell :

Supplementary material 2 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

Female of Osmia pilicornis gnawing nesting burrow :

Supplementary material 5 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

Female of Osmia pilicornis collecting pollen on Pulmonaria mollis :

Supplementary material 1 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

List of distributional data of Osmia pilicornis :

Supplementary material 6 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

Female of Osmia pilicornis collecting pollen on Ajuga reptans :

Supplementary material 4 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

Female of Osmia pilicornis constructing nest plug :

Figures 27-28 from: Prosi R, Wiesbauer H, Müller A (2016) Distribution, biology and habitat of the rare European osmiine bee species Osmia (Melanosmia) pilicornis (Hymenoptera, Megachilidae, Osmiini). Journal of Hymenoptera Research 52: 1-36. https://doi.org/10.3897/jhr.52.10441

Figures 27-28 - Floral morphs of Pulmonaria mollis in top and lateral view: 27 Longistylous flower with anthers deeply hidden within the floral tube 28 Brevistylous flower with anthers located at the entrance of the floral tube.