2017
DOI: 10.1016/j.jnc.2017.06.003
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Biodiversity hotspots and conservation gaps in Iran

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Cited by 51 publications
(23 citation statements)
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“…Iran is a country with a wide spatial variability in climate and biology. The high diversity of species has made the country one of the most important countries in Southwest Asia and the Middle East in terms of biodiversity [74]. The results obtained in this study can be useful to understand how climate change may affect different thermal bioclimatic factors in different climatic zones.…”
Section: Discussionmentioning
confidence: 83%
“…Iran is a country with a wide spatial variability in climate and biology. The high diversity of species has made the country one of the most important countries in Southwest Asia and the Middle East in terms of biodiversity [74]. The results obtained in this study can be useful to understand how climate change may affect different thermal bioclimatic factors in different climatic zones.…”
Section: Discussionmentioning
confidence: 83%
“…Although preference of males and juveniles was not supported at fine scales, loss of a single male or juvenile by a household can undermine the family income relying on breeding and replenishment of less productive cattle. As the Hyrcanian forest is a biodiversity hotspot and a key area for leopard conservation (Ebrahimi et al., ; Farashi & Shariati, ; Farashi et al., ) which needs better protection (Mehri et al., ), we hope that this practice will reduce conflicts and improve conservation status of this region.…”
Section: Discussionmentioning
confidence: 99%
“…This study is novel in terms of research findings and practical applications, in Iran and beyond. Also, this study is timely and important because Iran is the stronghold country for the globally endangered leopard subspecies in the Middle East, the Persian leopard ( Panthera pardus saxicolor ) (Figure ; Ebrahimi, Farashi, & Rashki, ; Khorozyan, ), the Hyrcanian forest represents the most continuous and most suitable habitat for leopard (Ebrahimi et al., ; Farashi & Shariati, ; Farashi, Shariati, & Hosseini, ), and retaliatory anthropogenic mortality from depredation is among the main threats to leopard survival in Iran and the region (Ghoddousi et al., ; Soofi et al., ).…”
Section: Introductionmentioning
confidence: 99%
“…We began by selecting uncorrelated landscape metrics to ensure the validity of the predictions (Barbet‐Massin & Jetz, ) using the method described by Leroy et al (), resulting in nine uncorrelated explanatory variables for the dataset with 5‐year moving windows (Supporting Information Table ); however, the rape density was excluded for modeling the dataset aggregated over the whole period (Supporting Information Appendix ). Secondly, to select the modeling technique (Elith, Ferrier, Huettmann, & Leathwick, ), we used version 2.0 BIOMOD multimodel platform (Thuiller, Lafourcade, Engler, & Araújo, ) implemented in R. This can (a) use heterogeneous data from different counting methods (Farashi & Shariati, ; Jackson, Gergel, & Martin, ) and (b) compare the most frequently used modeling techniques (Barbet‐Massin et al, ; Monnet, Hingrat, & Jiguet, ; see Supporting Information Appendix ). As these modeling techniques require presence and absence data but as our dataset did not contain true absences (the absence of a sighting does not imply the absence of partridges), we generated 100 replicates of 1,000 random pseudo‐absences to obtain reliable confidence intervals (Barbet‐Massin et al, ; Supporting Information Appendix gives the methods and numbers of pseudo‐absences).…”
Section: Methodsmentioning
confidence: 99%