Assessing the Potential Distribution of Asian Gypsy Moth in Canada: A Comparison of Two Methodological Approaches

Srivastava, Vivek; Griess, Verena C.; Keena, Melody A.

doi:10.1038/s41598-019-57020-7

Cited by 36 publications

(36 citation statements)

References 52 publications

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“…The AUC value of habitat suitability model for Malayan gaur was 0.84, indicating good performance of accuracy. AUC values greater than 0.9 usually indicate high accuracy, values between 0.7 and 0.9 indicate good accuracy and values between 0.5 and 0.7 indicate low accuracy (Srivastava et al, 2020). Distance from urban areas indicated the highest relative contribution to the model (26.9%) suggesting it to have the most useful information, followed by distance from water body (24.2%) and land use (18.0%).…”

Section: Resultsmentioning

confidence: 99%

Potential habitat connectivity for Malayan gaur (Bos gaurus) in a fragmented forest area in Peninsular Malaysia

Ariffin¹,

Mustapha²,

Taher³

et al. 2021

JEB

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Aim: To predict the distribution of suitable habitats for Malayan gaur (Bos gaurus) at a highly fragmented forest area in Peninsular Malaysia and to identify the potential connectivity between suitable habitat patches. Methodology: Maximum entropy (MaxEnt) approach was used to predict the distribution of suitable habitats of the Malayan gaur. Gaur presence-only data and six environmental variables were collated for the habitat suitability modeling, and area under curve (AUC) value was used to estimate the performance of the model. The resulting model was then used to derive a potential connectivity map through least-cost analysis using Corridor Designer toolbox in ArcGIS 10.4. Results: The AUC value of the habitat suitability model was 0.84. Distance from urban areas indicated the highest relative contribution to the model (26.9%), followed by distance from water body (24.2%) land use (18.0%) elevation (14.3%), slope (14.0%) and lithology (2.6%). Predicted suitable habitats for gaur were found mostly in lowland forest areas, especially in the vicinity of rivers within forest reserves. A total of five wildland blocks were derived from the habitat suitability model, and several potential corridor swaths were identified connecting the wildland blocks. Interpretation: The absence of gaur occurrence in suitable habitats suggest that fragmented habitats greatly affected gaur distribution and population. Road network and agricultural lands are the major barriers of gaur movement as they are very sensitive towards disturbances and conflict. Thus, this research proposes potential connectivity at a regional scale for Malayan gaur for use in future planning in conservation, management and development.

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Section: Resultsmentioning

confidence: 99%

Potential habitat connectivity for Malayan gaur (Bos gaurus) in a fragmented forest area in Peninsular Malaysia

Ariffin¹,

Mustapha²,

Taher³

et al. 2021

JEB

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“…Hence, background sample considered in the model may include both “true” and “false” absences (Gallien et al., 2012). To analyze the adequacy of the models, we checked the ClimEurope model adequacy when projected in Asia and ClimAsia when projected in Europe (Srivastava et al., 2020). Finally, another SDM model called ClimEuropeWeighted was calibrated with occurrence data from Europe (the same that were used in ClimEurope) but background data were weighted with the ClimAsia projection in Europe.…”

Section: Methodsmentioning

confidence: 99%

Predicting the potential distribution and forest impact of the invasive species Cydalima perspectalis in Europe

Canelles

Bassols²,

Vayreda

et al. 2021

Ecology and Evolution

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The incidence of alien species to invaded host ecosystems has increased in recent years due to climate change and the growth in international trade (Hulme, 2003). The movement of alien species (not native to a specific location, also referred to as introduced or non-native species) has been linked to human activity for millennia due to international trade that favors the accidental introduction of species into new ecosystems (Bradshaw et al., 2016;Hulme, 2009). The association is so strong that key moments in history involving international commerce match alien species redistribution peaks, highlighting the end of the Middle Ages, the industrial

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“…To estimate and project the distribution of the Caucasian grouse, we used maximum entropy modeling (Maxent; Phillips, Dudík, & Schapire, 2004). Maxent, the most widely used SDM algorithm (Phillips et al, 2004), is a presence-only modeling technique (Elith et al, 2011), and has been consistently shown to outperform alternative approaches (Elith et al, 2006;Merow, Smith, & Silander, 2013;Srivastava, Griess, & Keena, 2020), especially when the number of presence records is small (Filz & Schmitt, 2015). To identify the best Maxent parameterization, we used the "kuenm" package in R (Cobos, Peterson, Barve, & Osorio-Olvera, 2019).…”

Section: Species Distribution Modelingmentioning

confidence: 99%

Rear‐edge populations are important for understanding climate change risk and adaptation potential of threatened species

Habibzadeh

Ghoddousi

Bleyhl

et al. 2021

Conservat Sci and Prac

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Climate change disproportionately threatens alpine species, by reducing available habitat and by isolating their populations. These pressures are particularly relevant for rear-edge populations, which typically occupy more marginal habitat compared to populations at the core of species' ranges. We studied Caucasian grouse Lyrurus mlokosiewiczi in the Caucasus ecoregion, a global biodiversity hotspot where this species is endemic, to understand potential climate change impacts on the species. Specifically, we assessed how climate change impacts rear-edge populations and how important these populations are for understanding range shifts and adaptive capacity under climate change. We used maximum entropy modeling to assess changes in the distribution of climatically suitable habitat under present and 2070 climate conditions for the representative concentration pathways 8.5 (RCP8.5). Our results revealed that ignoring rear-edge populations leads to a significant underestimation of the future range (by about 14,700 km 2). Rear-edge populations were better adapted to warmer climates compared to core populations, and ignoring them, therefore, also underestimates adaptive capacity. Preventing the loss of rear-edge populations should, therefore, be a priority for conservation planning in the face of climate change. Because the Caucasian grouse is associated with alpine mountain tops, conservation should focus on establishing connectivity between rear-edge and core populations (e.g., via transboundary corridors or assisted colonizations). Our study reveals how species distribution modeling can highlight the importance of rear-edge populations for mitigating climate change impacts on species of conservation concern.

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Assessing the Potential Distribution of Asian Gypsy Moth in Canada: A Comparison of Two Methodological Approaches

Cited by 36 publications

References 52 publications

Potential habitat connectivity for Malayan gaur (Bos gaurus) in a fragmented forest area in Peninsular Malaysia

Potential habitat connectivity for Malayan gaur (Bos gaurus) in a fragmented forest area in Peninsular Malaysia

Predicting the potential distribution and forest impact of the invasive species Cydalima perspectalis in Europe

Rear‐edge populations are important for understanding climate change risk and adaptation potential of threatened species

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