Human-carnivore conflict is hampering carnivore conservation worldwide. Conflicts between humans and wolves (Canis lupus) in western Iran, especially Hamedan province (HP), occur in the form of livestock depredation and predatory attacks on people. These conflicts have become a major concern for the lives and livelihoods of the local people as well as an obstacle for conservation of the wolf. To determine the most important predictors of such conflicts and to identify the distribution of areas with potential risk of wolf attack on humans and livestock in HP, we employed maximum entropy (Maxent) algorithm to build predictive models with reported conflict data from 2001 to 2010. The resulting models correctly assigned subsequent attack sites from 2011 and 2012 to high-risk areas. We found that variables related to land use/cover types affected by anthropogenic influences on the landscape, such as irrigated farms and human settlements, were the most important in predicting wolf attack risk levels. The risk maps developed in this study are useful tools for identifying conflict hotspots and facilitate policymaking and action planning for conflict mitigation in western Iran.

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Melanism is not considered a typical characteristic in wolves of Iran and dark wolves are believed to have originated from crossbreeding with dogs. Such hybrid individuals can be identified with the combined use of genetic and morphological markers. We analyzed two black wolves using a 544 base pairs (bp) fragment of the mtDNA control region and 15 microsatellite loci in comparison with 28 dogs, 28 wolves, and four known hybrids. The artificial neural networks (ANNs) method was applied to microsatellite data to separate genetically differentiated samples of wolves, dogs, and hybrids, and to determine the correct class for the black specimens. Individual assignments based on ANNs showed that black samples were genetically closer to wolves. Also, in the neighbor-joining network of mtDNA haplotypes, wolves and dogs were separated, with the dark specimens located in the wolf branch as two separate haplotypes. Furthermore, we compared 20 craniometrical characters of the two black individuals with 14 other wolves. The results showed that craniometrical measures of the two black wolves fall within the range of wolf skulls. We found no trace of recent hybridization with free-ranging dogs in the two black wolves. Dark coat color might be the result of a natural combination of alleles in the coat-color-determining gene, mutation in the K locus due to past hybridization with free-ranging dogs, or the effect of ecological factors and adaption to habitat conditions.

In order to understand the population genetic diversity and structure of Spodoptera exigua (Hübner) (Lepidoptera: Noctuidae), a serious pest of sugar beet in Iran and the world, we genotyped 133 individuals from seven regions in Iran using four microsatellite loci. Significant difference was seen between the observed and expected heterozygosity in all loci. A lower observed heterozygosity than expected heterozygosity indicated a low heterozygosity in these populations. The value of F showed a high genetic differentiation, so that the mean of Fst was 0.21. Molecular analysis variance showed significant differences within and among populations with group variance accounted for 71 and 21%, respectively. No correlation was found between pair-wise Fst and geographic distance by Mantel test. Bayesian clustering analysis grouped all regions to two clusters. These data suggested that a combination of different factors, such as geographic distance, environmental condition, and physiological behavior in addition to genetic factors, could play an important role in forming variation within and between S. exigua populations.