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    Exploring Contents of Lead and Cadmium in Tissues of Fat Dormouse Glis glis (Linnaeus, 1766) (Rodentia: Gliridae) for Use in Monitoring of Environmental Pollutants in the Southern Caspian Coast Forests, Iran 

    Type: Journal Paper
    Author : M. Naderi; آزیتا فراشی; G. Markov; Azita Farashi
    Year: 2017
    Abstract:

    The levels of Pb and Cd in the liver and muscle samples of fat dormouse (Glis glis) were measured and compared in various localities in Hyrcanian forests of Northern Iran. We detected the highest Pb and Cd residues in sampled animals inhabiting...

    Spatial Distribution and Diversity of Woody Plants along River Bank of Shirinrood, Central Hyrcanian Forests, Northern Iran 

    Type: Conference Paper
    Author : حمید اجتهادی; Habib Zare; Zohreh Atashgahi; Hamid Ejtehadi
    Year: 2011
    Abstract:

    and to maintain biodiversity. This study was carried out on forest vegetation distributed in 500 to 1700 m.a.s.l. along the east and west river bank of Shirinrood, extended south-north, central Elborz, to identify spatial distribution and diversity of the forest...

    Comment on “A paradigm shift in understanding and quantifying the effects of forest harvesting on floods in snow environments†by K. C. Green and Y. Alila 

    Type: Journal Paper
    Author : Bathurst, James C.
    Publisher: American Geophysical Union
    Year: 2014

    Lidar Remote Sensing for Forestry and Terrestrial Applications 

    Type: Journal Paper
    Author : علیرضا فریدحسینی; آمنه میان آبادی; امین علیزاده; محمد بنایان اول; Alireza Faridhosseini; Ameneh Mianabadi; Amin Alizadeh; Mohammad Bannayan Aval
    Year: 2011
    Abstract:



    the Landsat Thematic Mapper, or, active Radar sensors such as RADARSAT.

    These types of remote sensors have proven to be satisfactory for many forest

    applications, such as mapping and classifying land cover into specific classes...

    Isolation and Identification of a New Cold and Alkaline Tolerant Antibiotic Producing Streptomyces sp. From Soil 

    Type: Journal Paper
    Author : صدف سادات رفعتی; بهار شهنواز; علی مخدومی; sadaf sadat rafati; Bahar Shahnavaz; Ali Makhdoumi
    Year: 2016
    Abstract:

    was to isolate, identify, and optimize a cold and pH resistant strain of Streptomyces with high antibiotic

    production capability.

    Methods: Soil samples were taken from the Telar forests of northern Iran, and the ACS52 strain was identified as a...

    Conventional oil and gas development alters forest songbird communities 

    Type: Journal Paper
    Publisher: The Wildlife Society
    Year: 2014

    Retrieval of Forest Stand Age From SAR Image Texture for Varying Distance and Orientation Values of the Gray Level Co-Occurrence Matrix 

    Type: Journal Paper
    Author : Champion, Isabelle; Germain, Cecile; da Costa, J.P.; Alborini, Arnaud; Dubois-Fernandez, P.
    Publisher: IEEE
    Year: 2014

    Rodent fauna of the western Golestan Province in northeast Iran 

    Type: Journal Paper
    Author : فاطمه قربانی; جمشید درویش; H. Gholikami; امید میرشمسی کاخکی; Jamshid Darvish; Omid Mirshamsi
    Year: 2010
    Abstract:

    Golestan province is located in northeastern Iran, southeast of the Caspian Sea, a region thought to be one of the most important refuge areas during glacial periods. During three years of fieldwork in the area, 13 species ...

    Habitat requirements of the Black Woodpecker, Dryocopus martius, in Hyrcanian forests, Iran (Aves: Picidae ) 

    Type: Journal Paper
    Author : M.Ghadiri Khanaposhtani; M.Najafabadi; M.Kaboli; آزیتا فراشی; Azita Farashi
    Year: 2012
    Abstract:

    The relationships between the Black Woodpecker (Dryocopus martius (Linnaeus, 1758)) abundance and forest characteristics and the role of coarse woody debris for habitat selection were assessed. One hundred point counts were conducted 250 m apart...

    Big data in Geohazard; pattern mining and large scale analysis of landslides in Iran 

    Type: Journal Paper
    Author : H. Shafizadeh-Moghadam; مسعود مینائی; H. Shafizadeh-Moghadam; Masoud Minaei
    Year: 2018
    Abstract:

    homogeneous regions using the Contextual Neural Gas (CNG) algorithm. Next, their underlying driving forces were ranked using the Random Forest (RF) algorithm at country and cluster levels. Our results indicate that the mechanisms for landslide occurrence...

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