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publicMar 2021View details →

Relationships between survival and habitat suitability of semi-aquatic mammals

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publicJan 2018View details →

Data from: Combining human acceptance and habitat suitability in a unified socio-ecological suitability model: a case study of the wolf in Switzerland

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publicMay 2017View details →

Modelling seasonal habitat suitability for wide-ranging species: Invasive wild pigs in northern Australia

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publicApr 2021View details →

Warming threatens habitat suitability and breeding occupancy of rear-edge alpine bird specialists

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opencc-zeroAug 2020View details →

Contrasting the suitability of shade coffee agriculture and native forest as overwinter habitat for Canada Warbler (Cardellina canadensis) in the Colombian Andes.

In the Neotropics, coffee production occurs on a large scale in some of the planet's most biodiverse regions: tropical mountains. Coffee production systems involving shade trees are considered to have a lower impact on biodiversity than alternative sun coffee. To date, the majority of evidence for the value of shade coffee plantations has not taken into account the relative quality of this habitat compared to the native forests they replaced. We determined the suitability of shade coffee and forest as winter habitat for Canada Warbler (Cardellina canadensis) by comparing variation in the likelihood of capturing individuals, seasonal changes in body condition, and estimates of annual survival between the two habitats. We also determined the effect of the strong 2015-2016 El Niño event on survival. Males were relatively more likely to be captured in forest than females and this likelihood increased during drier years. Body condition change over the winter and apparent annual survival were very similar for individuals that used forest and coffee. However, condition and survival decreased in both habitats during the El Niño year. Apparent survival was also lower for individuals carrying a radiotag or geolocator. Our findings suggest that shade coffee with high canopy cover and height offers similar benefits to forest in terms of body condition and survival. Landscape conservation approaches, promoting diverse matrices of structurally complex shade coffee and forest might best ensure long-term survival in Neotropical migrants like Canada Warbler.

opencc-zeroSep 2020View details →

Data from: Habitat suitability and connectivity modeling reveal priority areas for Indiana bat (Myotis sodalis) conservation in a complex habitat mosaic

Context Conservation for the Indiana bat (Myotis sodalis), a federally endangered species in the United States of America, is typically focused on local maternity sites; however, the species is a regional migrant, interacting with the environment at multiple spatial scales. Hierarchical levels of management may be necessary, but we have limited knowledge of landscape-level ecology, distribution, and connectivity of suitable areas in complex landscapes. Objectives We sought to 1) identify factors influencing M. sodalis maternity colony distribution in a mosaic landscape, 2) map suitable maternity habitat, and 3) quantify connectivity importance of patches. Methods Using 3 decades of occurrence data, we tested a priori, hypothesis-driven habitat suitability models. We mapped suitable areas and quantified connectivity importance of habitat patches with probabilistic habitat availability metrics. Results Factors improving landscape-scale suitability included limited agriculture, more forest cover, forest edge, proximity to medium-sized water bodies, lower elevations, and limited urban development. Areas closer to hibernacula and rivers were suitable. Binary maps showed that thirty percent of the study area was suitable for M. sodalis and 29% was important for connectivity. Most suitable patches were important for intra-patch connectivity and far fewer contributed to inter-patch connectivity. Conclusions While simple models may be effective for small, homogenous landscapes, complex models are needed to explain habitat suitability in large, mixed landscapes. Suitability modeling identified factors that made sites attractive as maternity areas. Connectivity analysis improved our understanding of important areas for bats, identified suitable patches that may be isolated from the habitat network, and prioritized areas to target restoration.

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-by-4.0Nov 2013View details →

Fig. 2 in Habitat suitability assessment of the rare perennial plant Armeria arenaria (Pers.) Schult. (Plumbaginaceae) along the French Mediterranean coastline

Fig. 2. – Ordination diagrams of the Outlying Mean Analysis (OMI). A. Scatter plots of 78 sampling sites along OMI axis 1 and axis 2 with some plant species displayed [Slo: slope; Ori: orientation of the slope; Roc: rock cover; Ph: mean soil pH value; Soi: bare soil cover; Herb: herbaceous cover; Veg: total vegetation cover; Srh: shrubs cover, Tre: tree cover]; B. Sampling sites with Armeria arenaria (Pers.) Schult. are indicated with a symbol size proportional to the log of abundance measured in 2007; C. Sampling sites with A. arenaria are indicated with a symbol size proportional to the juvenile frequency measured in 2007; D. Dots are for sampling sites without A. arenaria.

opencc-by-4.0Nov 2013View details →

Fig. 1 in Habitat suitability assessment of the rare perennial plant Armeria arenaria (Pers.) Schult. (Plumbaginaceae) along the French Mediterranean coastline

Fig. 1. – Map of the study site with location of sampling sites with and without Armeria arenaria (Pers.) Schult.

opencc-zeroJul 2022View details →

Reduced habitat suitability and landscape connectivity in a songbird migratory divide

Aim Seasonal migration is a common phenomenon in animals and connects geographically distant ecosystems. Considerable variation has been documented in this behaviour and migratory divides (contact zones between populations that use different routes to navigate around ecological barriers) are an example of this. Migratory divides could have important implications for ecological speciation as hybrids in divides take intermediate routes and it has been predicted that these routes will be ecologically inferior as they bring hybrids over barriers that parental forms avoid. We provide the first test of this prediction here using a well-characterized divide between coastal and inland subspecies of Swainson's thrushes. Location North, Central and South America Time period 2006-2013 Major taxa studied Birds Methods We used ecological niche models and analyses of landscape connectivity to predict suitable habitat for coastal and inland thrushes on migration and identify optimal migratory routes. We compared estimates of habitat suitability and landscape connectivity along the actual migratory routes of birds tracked with light-level geolocators. Results Consistent with predictions for migratory divides, niche models estimated lower habitat suitability in the intermediate range between the migratory ranges of parental forms. Furthermore, our models of landscape connectivity predicted optimal routes that circumvent this intermediate area. Birds taking intermediate routes used stopover sites of lower predicted habitat suitability than birds migrating on either side of the divide and overlapped less with optimal paths. Main conclusions Our results support the prediction that intermediate routes of hybrids in migratory divides are ecologically inferior to those of parental forms. This finding suggests ecological differences are helping to maintain divides and could have broad implications, with divides shaping the distribution and maintenance of species boundaries globally and across many taxonomic groups.

opencc-by-4.0Jan 2024View details →

Baseline and Future Habitat Suitability Maps for Tree Species Prioritized for Food Tree Portfolios for Zambia

This archive includes habitat suitability maps for six native food tree species (Anisophyllea boehmii Engl., Parinari curatellifolia Planch. ex Benth., Strychnos cocculoides Baker, Tamarindus indica L., Thespesia garckeana F.Hoffm. [syn. Azanza garckeana (F.Hoffm.) Exell & Hillc.] and Uapaca kirkiana|Müll.Arg.|) and four exotic food tree species (Carica papaya L., Mangifera indica L., Persea americana Mill. and Psidium guajava L.). These species had been prioritized by the project. Species suitability modelling followed the BIOCLIM algorithm whereby a climate suitability score is calculated that reflects the core distribution (5% - 95%) and the marginal distribution (0% - 5% or 95% or 100%) of a species in environmental space. The BIOCLIM algorithm was expanded to reflect the middle of the environmental range (25% - 75%). Species suitability was inferred through bioclimatic ranges documented in the Tree Globally Observed Environmental Ranges database (TreeGOER; Kindt <a href="https://onlinelibrary.wiley.com/doi/10.1111/gcb.16914">2023</a>). Baseline suitability maps used the historical climate documented by WorldClim 2.1 (Fick & Hijmans <a href="https://doi.org/10.1002/joc.5086">2017</a>). Future suitability maps correspond to a low emissions scenario (Shared Socio-Economic Pathway [SSP] 1-2.6) and a high emissions scenario (SSP 3-7.0), both calculated as medians from Global Climate Models (GCM) projections for the 2050s (2041-2060) available from WorldClim 2.1 (respectively from 23 and 18 GCMs). For larger sets of tree species native to Zambia, it has recently become possible to filter tree species by bioclimatic conditions of the planting site with the GlobalUsefulNativeTrees database (GlobUNT; Kindt et al. <a href="https://www.nature.com/articles/s41598-023-39552-1">2023</a>). The GlobUNT database internally uses TreeGOER environmental ranges and the same BIOCLIM algorithm that was used the generate the habitat suitability maps. Included in this archive is a list of native tree species to Zambia that were filtered for the use category of human food.   When using these maps, cite the following: ·         Fick, S. E., & Hijmans, R. J. (2017). WorldClim 2: New 1‐km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302–4315. <a href="https://doi.org/10.1002/joc.5086">https://doi.org/10.1002/joc.5086</a> ·         Kindt, R. (2023). TreeGOER: A database with globally observed environmental ranges for 48,129 tree species. Global Change Biology, 29, 6303–6318. <a href="https://doi.org/10.1111/gcb.16914">https://doi.org/10.1111/gcb.16914</a>   Information in this archive were generated for the project of Piloting incentive-based agricultural portfolios for nutrition and resilience in Zambia. For more information about this project, check the website: <a href="https://www.worldagroforestry.org/project/piloting-incentive-based-agricultural-portfolios-nutrition-and-resilience-zambia">Piloting incentive-based agricultural portfolios for nutrition and resilience in Zambia | World Agroforestry | Transforming Lives and Landscapes with Trees</a>

opencc-by-4.0Jul 2024View details →

Figure 2 in Modeling habitat suitability and current distribution of the Maghreb magpie (Pica mauritanica)

Figure 2. Histograms illustrating descriptive analyses of climatic and environmental characteristics related to the occurrence point of Maghreb Magpies.

Figure 3 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 3: Ecological niche modeling approach for Hyaena hyaena in Batna.

Figure 8 in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Figure 8: Kernel density estimation of the roadkill hotspots found in the road networks of Batna.

Table ¹: Model performance in relation to predictor variables combinations and MaxEnt parameters for the two best models identified in our analysis. in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Table ¹: Model performance in relation to predictor variables combinations and MaxEnt parameters for the two best models identified in our analysis.<table><tbody><tr><th>Prediction set</th><th>FC</th><th>RM</th><th>P ROC</th><th>OR</th><th>AICc</th><th>ΔAICc</th><th>WAICc</th><th>Number of parameters**</th></tr></tbody><tbody><tr><th>313</th><td>lqp</td><td>0.7</td><td>0</td><td>0</td><td>752.875</td><td>1.226</td><td>0.0337</td><td>10</td></tr><tr><th>314*</th><td>lqp</td><td>1</td><td>0</td><td>0</td><td>751.649</td><td>0.000</td><td>0.057</td><td>7</td></tr></tbody></table>The selected model set (*) met the statistical significance and omission rate criteria during evaluation with train and test data.**Number of environmental variables. FC, feature class; RM, regularization multiplier; OR = omission rate; ΔAICc, Akaike information criterion corrected for small simple sizes; WAICc, weighted AICc.

Table ²: Percentage of contribution of the selected variables for habitat suitability modeling for the striped hyaena in Batna, Algeria. in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)

Table ²: Percentage of contribution of the selected variables for habitat suitability modeling for the striped hyaena in Batna, Algeria.<table><tbody><tr><th>Environmental variables</th><th>Contribution to prediction capacity (%)</th></tr></tbody><tbody><tr><th>Shrubland</th><td>37.5</td></tr><tr><th>Slope</th><td>30.2</td></tr><tr><th>Built-up areas</th><td>12</td></tr><tr><th>Distance to roads</th><td>7.9</td></tr><tr><th>DEM</th><td>5.2</td></tr><tr><th>BIO3 (isothermality)</th><td>4.9</td></tr><tr><th>Distance to waterbodies</th><td>2.3</td></tr></tbody></table>

opencc-zeroFeb 2023View details →

Supplementary material 1 from: Van Phung K, Van Tran D, Thanh Dong H, Quang Luu V, Bac Bui V, Tien Vu T (2023) Changes in suitable habitat for the critically endangered Northern white-cheeked gibbon (Nomascus leucogenys) in the Western Nghe An Biosphere Reserve, Vietnam: Implication for conservation. Nature Conservation 51: 167-188. https://doi.org/10.3897/natureconservation.51.90373

Supporting information

opencc-zeroSep 2023View details →

Semi-arid African savanna habitat suitability for two Vachellia species

The habitat suitability of Vachellia stuhlmannii and Vachellia tortilis was assessed using Maximum Entropy model. Location data was collected and nineteen bioclimatic variables data for 1950 to 2000 downloaded from the WorldClim database. Soils were analyzed to investigate their influence on habitat suitability of the two species. MaxEnt effectively predicted current habitat suitability with an average test Area Under Curve value of 0.936 for V. stuhlmannii and 0.689 for V. tortilis. Key influential variables were BIO-1 (Annual mean temperature) with 71.7% highest gain for V. stuhlmannii and BIO-17 (Precipitation of driest quarter) with 65.3% highest gain for V. tortilis. However, BIO-14 (Precipitation of driest month) exhibited limited influence in predicting habitat suitability for both species. V. stuhlmannii occupies twenty-nine hectares and V. tortilis covers 102 hectares. Both species predominantly occur on Prismacutanic/pedocutanic B-horizons. V. tortilis also thrive on Glenrosa and Mispah soils, which are crucial for diverse plant and animal life. These findings have practical implications for conservation efforts aimed at protecting both species. Identifying suitable habitats and preserving soil types is crucial as soil affects microclimate conditions and influences moisture retention. Overall, this study provides insights for the conservation of V. stuhlmannii and V. tortilis in the semi-arid African savanna.

publicSep 2023View details →

Semi-arid African savanna habitat suitability for two Vachellia species

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