ABSTRACT:Landfill has been taken to the bottom of the hierarchy of options for waste disposal but has been the most used method for urban solid waste disposal. However, landfill has become more difficult to implement because of its increasing cost, community opposition, and more restrictive regulations regarding the siting and operation of landfills. Land is a finite and scarce resource that needs to be used wisely. Appropriate allocation of landfills involves the selection of areas that are suitable for waste disposal. The present work describes a type of multi-criteria evaluation (MCE) method called weighted linear combination (WLC) in a GIS environment to evaluate the suitability of the study region for landfill. The WLC procedure is characterized by full tradeoff among all factors, average risk and offers much flexibility than the Boolean approaches in the decision making process. The relative importance weights of factors are estimated using the analytical hierarchy process (AHP). In the final aggregated suitability image, zones smaller than 20 hectares are eliminated from the allocation process. Afterwards, the land suitability of a zone is determined by calculating the average of the suitability of the cells belonging to that zone, a process called zonal land suitability. The application of the presented method to the Gorgan city (Iran) indicated that there are 18 zones for landfill with their zonal land suitability varying from 155.426117 to 64.149024. The zones were ranked in descending order by the value of their zonal land suitability. The results showed the use of GIS as a decision support system (DSS) available to policy makers and decision makers in municipal solid waste (MSW) management issues.

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.

Species distribution modelling, as a central issue in freshwater ecology, is an important tool for conservation and management of aquatic ecosystems. The brown trout (Salmo trutta) is a sensitive species which reacts to habitat changes induced by human impacts. Therefore, the identification of suitable habitats is essential. This study explores the potential distribution of brown trout by a species distribution modelling approach for Iran. Furthermore, modelling results are compared to the distribution described in the literature. Areas outside the currently known distribution which may offer potential habitats for brown trout are identified. The species distribution modelling was based on five different modelling techniques: Generalised Linear Model, Generalised Additive Model, Generalised Boosting Model, Classification Tree Analysis and Random Forests, which are finally summarised in an ensemble forecasting approach. We considered four environmental descriptors at the local scale (slope, bankfull width, wetted width, and elevation) and three climatic parameters (mean air temperature, range of air temperature and annual precipitation) which were extracted on three different spatial extents (1/5/10 km). The performance of all models was excellent (≥0.8) according to the TSS (True Skill Statistic) criterion. Slope, mean and range of air temperature were the most important variables in predicting brown trout occurrence. Presented results deepen the knowledge about distribution patterns of brown trout in Iran. Moreover, this study gives a basic background for the future development of assessment methods for riverine ecosystems in Iran.

Top predators such as leopard Panthera spp. are often associated with high biodiversity, so the protection of their habitats is one of the most effective ways to conserve biodiversity globally. In this paper, we use ecological niche factor analysis (ENFA), a presence-only environmental habitat-envelope based method to create habitat suitability maps for Persian leopard in Golestan National Park (GNP), Iran. The Persian leopard Panthera pardus saxicolor is an endangered subspecies on the IUCN Red List of Threatened Species. During a one-year field study in 2009, we recorded 120 leopard locations and related these to 14 environmental variables. Our analysis shows that the Persian leopard in this area lives within a very narrow range of conditions and therefore may require rather specific habitat protection and management in this area.

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