نتایج جستجو برای: physiographic factors

تعداد نتایج: 1078537  

Journal: :محیط زیست طبیعی 0
حامد آقاجانی دانشجوی کارشناسی ارشد جنگل شناسی و اکولوژی جنگل، دانشکدۀ منابع طبیعی، دانشگاه تهران محمدرضا مروی مهاجر استاد گروه جنگلداری و اقتصاد جنگل، دانشکدۀ منابع طبیعی، دانشگاه تهران محمدرضا آصف استادیار گروه رستنی ها، مؤسسۀ تحقیقات گیاه پزشکی ایران، تهران انوشیروان شیروانی استادیار گروه جنگلداری و اقتصاد جنگل، دانشکدۀ منابع طبیعی، دانشگاه تهران

fungi include a large group of organisms that are found in different ecological conditions and are important components in forest ecosystems. the northern forests of iran are mountainous mixed forests, and have high biological diversity. the aim of this research was asses influence of physiographic factors on abundance and diversity of wood macrofungi. after of primary field inspection fungi sa...

2006
P. Charles Goebel Kurt S. Pregitzer Brian J. Palik

We examined the distribution of ground-flora species (herbaceous and woody species <1 m tall) across riparian areas of northeastern Wisconsin in an effort to understand how hierarchical landscape properties, such as the physiographic system (ground moraine and outwash plain), valley system (constrained and unconstrained), and valley floor landforms influence distribution patterns of ground-flor...

Journal: :Ambiente e Agua - An Interdisciplinary Journal of Applied Science 2018

طالبی, زانا, غفاری, گلاله,

Estimated time of concentration is one of the most important topics in the study of watershed physiographic and hydrology and relatively accurate estimates of that effects on other hydrologic parameters, including peak flood discharge. Despite numerous empirical formulas and widespread application in Iran, up to now a study hasn’t been done about the best relationship and important physiographi...

2014
Victor M. Rodríguez-Moreno Stephen H. Bullock

Remotely sensed imageries were used to analyze the response of desert vegetation to physiographic factors and accumulated precipitation in drier and wetter years within a region of >16,500 km(2) sampled with 5,000 random pixels of 30 m. Vegetation development was indexed by the annual maximum values for greenness (SAVI) and canopy water content (NDII). Precipitation was interpolated from the 0....

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