Indigenous Peoples and Local Communities are stewards of natural resources and nature. We have been conserving our territories for thousands of years. Each indigenous community has its own territory. For indigenous nomadic pastoralists our territory consists of summering grounds, wintering grounds, migration routes, stopovers and mid-way stations with different ecological, social, economic and cultural assets. These assets include forests, rangelands, wetlands, lakes, rivers, coasts, seas, and many other types of ecosystems and wildlife.
Property rights, the agricultural price index, forest area, population, income and timber price are important factors in the deforestation process. The aim of this study was to test the impact of these factors on deforestation in Iran using an environmental Kuznets curve (EKC). The autoregressive distributed lag approach was also used to estimate the deforestation function. The existence of an inverted U-shaped EKC for deforestation in Iran was confirmed.
Flood spreading is one of the suitable strategies to control and benefit from floods which in turn improve the groundwater recharge, makes soil more fertile, and increases nutrients in soil. It is also a method for reusing sediment, which is usually wasted. Thus, selection of suitable areas for flood spreading and directing the flood water into permeable formations are amongst the most effective strategies in flood spreading projects.
In order to improve the livelihoods of communities and make them more sustainable, study of the vulnerability of livelihoods seems necessary. In this paper, participatory vulnerability analysis was used within a sustainable rural livelihoods framework to assess the sustainability of livelihoods in the agroecosystem of Abesard, Iran. In addition, this paper explored vulnerability contexts that affect livelihood assets. Findings revealed that land use change, climate variability, market fluctuations and higher mechanisation were the main reasons of vulnerability.
A dam's construction always imposes some risks to the environment. In this article, the environmental risks of the Polrood dam, located in a northern province of Iran, during its construction phase, were identified, ranked, and evaluated. The risk factors were initially identified by Delphi questionnaire and then rated using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Subsequently, the Analytical Hierarchy Process (AHP) was applied to classify the risk factors into four major categories, and Expert Choice software was used to weight them.
Nabis pseudoferus Remane and N. palifer Seidenstucker are predators that feed on a wide range of insect pests. To reveal their current potential habitats, the effects of climate change and their future distribution in various areas of Iran we used maximum entropy modeling (Maxent). To produce the models, samples were collected from 218 areas of Iran resulting in discovering 271 points where the nabids were found. The accuracy and performance of distribution models were also evaluated by the area under receiver operating characteristic curve and jack‐knife analysis.
Landslide susceptibility mapping is essential for land use planning and decision-making especially in the mountainous areas. The main objective of this study is to produce landslide susceptibility maps at Safarood basin, Iran using two statistical models such as an index of entropy and conditional probability and to compare the obtained results. At the first stage, landslide locations were identified in the study area by interpretation of aerial photographs and from field investigations.
The study area chosen is Damghan Plain, in Iran and covers an area of 5400 hectares.The methodology used for the physical land suitability analysis is a multi-criteria evaluation based on FAO land evaluation framework. The methodology consists of matching soil/land qualities against barley needs and assigning suitability rating to each land characteristic. The results show that 15.88% of the area is S2 (moderately suitable) and 26.55% S3 (marginally suitable) and 57.57% and N (Not Suitable) for Barley crop.
The magnetic susceptibility (χ) of soils varies with the slope position due to some factors such as texture, drainage class, and land use. Limited information is available about the magnetic susceptibility properties of semi arid regions of southwestern Iran. This study attempts to link χ and Fe oxides of the soils to landforms, soil characteristics, and land use (paddy and dryland soils) on the same parent materials. Ten representative pedons were taken along a NE–SW transect in different physiographic units in the Yasouj Plain.