Identifying high-priority conservation areas for avian biodiversity using species distribution modeling

Moradi, Sohrab; Ilanloo, Sayyad Sheykhi; Kafash, Anooshe; Yousefi, Masoud

doi:10.1016/j.ecolind.2018.10.003

Cited by 52 publications

(28 citation statements)

References 46 publications

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“…MaxEnt (Maximum Entropy Modeling) is one of the best methods among many algorithms for modeling species distribution patterns 39–41 and was successfully applied in modeling avian distribution. 42–44 This method only needs presence data from the species and is very effective even when distribution data is scarce. 45 MaxEnt was run with maximum iterations of 1000, convergence threshold of 0.0001 and 1000 background points.…”

Section: Methodsmentioning

confidence: 99%

Applying opportunistic observations to model current and future suitability of the Kopet Dagh Mountains for a Near Threatened avian scavenger

Ilanloo

Khani²,

Kafash

et al. 2020

Avian Biology Research

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Many avian species are in danger of extinction due to anthropogenic activities and climate change. Human activities have led to eradication of many natural habitats and climate change has altered species distribution especially in mountainous habitats. In the present study, we used distribution records of a Near Threatened avian scavenger, bearded vulture ( Gypaetus barbatus) that were collected through 9 years of opportunistic observations and modeled its distribution in the Khorasane-Razavi Province in Iran. We also assessed the impacts of future climate change on the distribution of this species. Our results show that most suitable habitats for Bearded vultures are in the northern regions of the Khorasan-e-Razavi province. The most important variables affecting the distribution of the bearded vulture were the annual precipitation (37.5% contribution), landcover (22% contribution), and distance to road (16.2% contribution). Our results also showed that around 80% to 91% of the species’ suitable habitats will decrease due to climate change in the future. Suitable habitats of the species that are predicted to remain suitable in the future should be prioritized for conservation. Human activities like road expansion should be avoided in areas with high suitability for this species. This study stresses the need for action to conserve this vulture in the Khorasan-e-Razavi province, and beyond its borders.

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Section: Methodsmentioning

confidence: 99%

Applying opportunistic observations to model current and future suitability of the Kopet Dagh Mountains for a Near Threatened avian scavenger

Ilanloo

Khani²,

Kafash

et al. 2020

Avian Biology Research

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“…As researchers have recognized the urgency to identify conservation areas for adaptation climate change, conservation planning tools have developed from qualitative to quantitative techniques [ 7 ]. Linking species distribution models (SDMs) and conservation planning models have shown better performance, such as the Maxent model and Marxan model, while their chances were also taken into account identifying priority conservation areas under climate change [ 8 , 9 ]. The previous studies suggested that SDMs were the foundation of planning priority conservation areas to figure out where the protection was the most needed [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Planning priority conservation areas for biodiversity under climate change in topographically complex areas: A case study in Sichuan province, China

et al. 2020

PLoS ONE

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Identifying priority conservation areas plays a significant role in conserving biodiversity under climate change, but uncertainties create challenges for conservation planning. To reduce uncertainties in the conservation planning framework, we developed an adaptation index to assess the effect of topographic complexity on species adaptation to climate change, which was incorporated into the conservation framework as conservation costs. Meanwhile, the species distributions were predicted by the Maxent model, and the priority conservation areas were optimized during different periods in Sichuan province by the Marxan model. Our results showed that the effect of topographic complexity was critical for species adaptation, but the adaptation index decreased with the temperature increase. Based on the conservation targets and costs, the distributions of priority conservation areas were mainly concentrated in mountainous areas around the Sichuan Basin where may be robust to the adaptation to climate change. In the future, the distributions of priority conservation areas had no evident changes, accounting for about 26% and 28% of the study areas. Moreover, most species habitats could be conserved in terms of conservation targets in these priority conservation areas. Therefore, our approach could achieve biodiversity conservation goals and be highly practical. More importantly, quantifying the effect of topography also is critical for options for planning conservation areas in response to climate change.

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“…Previous studies used ecological niche modeling, which relates the occurrence of a species to environmental variables considered to determine the distribution of this species, to predict the impacts of climate change on global biodiversity of birds [30][31][32]. Ecological niche modeling was also used to predict the geographic distribution of the red-crowned crane under climate change [33,34].…”

Section: Introductionmentioning

confidence: 99%

Breeding range shift of the red-crowned crane (Grus japonensis) under climate change

Liu

Liao

et al. 2020

PLoS ONE

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The red-crowned crane (Grus japonensis) is an endangered species listed by International Union for Conservation of Nature (IUCN) HARRIS J (2013). The largest population of this species is distributed mainly in China and Russia, which is called continental population SU L (2012)-Curt D (1996). This population is migratory, which migrates from its breeding range located in Northeast China and Southern Russia, to the wintering range in the south of China to spend the winter every year. The breeding range of this species is critical for redcrowned crane to survive and maintain its population. Previous studies showed the negative effects of habitat loss and degradation on the breeding area of red-crowned crane Ma Z (1998), Claire M (2019). Climate change may also threat the survival of this endangered species. Previous studies investigated the impacts of climate change on the breeding range or wintering range in China Wu (2012), [1]. However, no study was conducted to assess the potential impacts of climate change on the whole breeding range of this species. Here, we used bioclimatic niche modeling to predict the potential breeding range of red-crowned crane under current climate conditions and project onto future climate change scenarios. Our results show that the breeding range of the continental population of red-crowned crane will shift northward over this century and lose almost all of its current actual breeding range. The climate change will also change the country owning the largest portion of breeding range from China to Russia, suggesting that Russia should take more responsibility to preserve this endangered species in the future. OPEN ACCESS Citation: Liu L, Liao J, Wu Y, Zhang Y (2020) Breeding range shift of the red-crowned crane (Grus japonensis) under climate change. PLoS ONE 15(3): e0229984. https://doi.org/10.

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Identifying high-priority conservation areas for avian biodiversity using species distribution modeling

Cited by 52 publications

References 46 publications

Applying opportunistic observations to model current and future suitability of the Kopet Dagh Mountains for a Near Threatened avian scavenger

Applying opportunistic observations to model current and future suitability of the Kopet Dagh Mountains for a Near Threatened avian scavenger

Planning priority conservation areas for biodiversity under climate change in topographically complex areas: A case study in Sichuan province, China

Breeding range shift of the red-crowned crane (Grus japonensis) under climate change

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