In recent decades almost of land use changes without taking capabilities and limitations of environmental have caused environmental problems and known forms of soil degradation and aquatic ecosystem pollution. The purpose of this investigation is determining how to mitigate the effects of future land use changes in Tajan watershed by investigating ecological potential as a strategy for natural resource conservation. Therefore, the land change modeling (LCM) was used for the analysis of possible future land useand then using Geographic Information System (GIS) and multi-criteria analysis (linear weighted combination) was determined the most sustainability of agricultural areas. The results showed that during the period from 2010 to 2040, 34 739 hectares of forest land use were declined and 27 071 and 7668 hectares of agricultural lands and pastures will increase respectively and the 3473 hectares of the most susceptible areas possible change from forest to agriculture and pasture were extracted. So expect to assessing changes land use based on the ecological potential in the future can protect Hyrcanian forests for the prevention of unprincipled changes in the coming period in this region.

In order to land cover change modeling and detect to possibility of predict the future trend of Land Change modeler (LCM) was used. VNIR Data ASTER Sensor of TERRA satellite with spatial resolution of 15m for three periods 2000, 2007 and 2016 from Gilan-e-Gharb forests of Kermanshah province were analyzed. Land cover maps of years 2000, 2007 and 2016 four categories: forest cover, pasture lands, agricultural lands and built-up area areas for each of images were extracted. The results of data analysis in the first period (2000-2007) and the second period (2007-2016) showed the greatest increase in agricultural lands and pasture lands have the greatest decrease area. Based on these changes and by taking eight independent variable, transition potential modeling of 2016 was done using Artificial Neural Network. Then by hard predict model and images were classified of first period (2000- 2007), the land cover map in 2016 using Land Change Modeler was predicted. After evaluating the model, 83.09 and 71.10 overall accuracy was obtained for the first and second periods showed the consistency between prediction map and classified map of year 2016. The land cover maps by entering the second period (2007-2016) to Land Change Modeler the land.

Landscape fragmentation, due to the roads construction, urban infrastructure development and other land uses, seems to be in result of the loss of habitat in protected areas. Indeed, Landscape fragmentation causes a huge negative impact on wildlife, including important species. In result, the monitoring and management of protected areas, through the landscape ecology and quantification of fragmentation, will be so applicable. This research aims to quantify the landscape fragmentation in Kolah Ghazy national Park and wildlife refuge. To achieve this purpose, RS and GIS techniques were used to extract land uses in studied area and then landscape fragmentation was quantified using landscape metrics (CA, CAP, TE, MSI, NP, MPS and MNN) in class level. The results cleared that rich rangeland patches have been more integrated, but the incompatible land uses, such as mining, agriculture and urban infrastructure development make these patches to be more far away from each other, so, reduction of incompatible land uses is recommended in the region.

The government system of' Iran is centralized, and because in unitary and single power states, the security of political center (capital) with the total security of political system (National Security) has a direct relationship, the capital movement in Iran becomes important from two aspects; the first is to organize Tehran city and balance urban and regional system of the country and the second is to maintain the political security of the country. Capital movement from Tehran to other cities has been among the issues for more than 220 years but nothing has been done for some reasons. The aim of this paper which is written by descriptive – analyzing and survey method is to identify the main obstacles and the challenges of processing the capital and to present the strategies to remove the obstacles. So 7 elements as Economic, political, security, executive, social-cultural, legal and natural-ecological elements are selected in 55 items and are weighed by the academic elite people. After analyzing the information and using the structural equations model the results showed that the legal factor holding 10 items has the most direct (0/089) and indirect effect and the natural-ecological factor has the least effect (0/033) in moving the capital. Also the results of the network analyzing model for preference survey showed that the experts give priority to executive obstacles which hold final weigh 0/218 and compatibility rate 0/022 stands at the first grade in the priority survey of the obstacles.

Although Iran has a strategic position in the Middle East and there are threats of neighboring and non-neighboring countries, projects and economic infrastructures have been established without proper defensive considerations and are targets for enemy threats and other offensive actions. The present study is an applied and developmental research that aims to study and scrutinize the vulnerability of infrastructures in Ardabil province from the perspective of passive defense. Moreover, analytic network process (ANP) approach is used in GIS environment with elements of physical and biological environment, accessibility, and infrastructures in order to carry out the research. The results of spatial pattern analysis and vulnerability zoning show that the spatial distribution of infrastructure in Ardabil province is cluster type (non-dispersive) and in terms of vulnerability, 7% of Ardabil province is located in highly vulnerable areas which are themselves among the most densely populated places with high amounts of established infrastructures. This is due to poor physical indicators and lack of sufficient managerial, industrial, and military institutions in these areas of the Ardabil province.