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| 1 | Woody Species Diversity and Forest Structure from Lowland to Montane Forest in Hyrcanian Forest Ecoregion显示文摘Alborz Mountains host Caspian Hyrcanian forest ecoregion along the northern slopes and forest steppe ecoregion in highlands. Hyrcanian forest covers the southeastern part of Caucasus biodiversity hotspot and is of great biogeographic importance. Altitudinal pattern and correlation between woody species biodiversity (DIV), forest structure ((stem density (DEN), mean basal area (MBA) and mean height class (MHC)) and disturbance (DIS) were explored along 2,400 m altitudinal gradient in Hyrcanian relict forest, Central Alborz Mountains. Vegetation changes from lowland forest (LoF) to mid- altitude forest (MiF) and montane forest (MoF) in this area. The altitudinal gradient was divided into twelve 200 m elevational belts. Point centered quarter method (PCQM) with 96 sampling points and 83 vegetation samples by plot method (PM) were used to record field data. Shannon-Wiener index and Pearson coefficient were used for diversity and correlation analysis. The results showed that DEN decreased linearly, MBA and MHC showed relatively hump shaped and DIS showed a reverse hump shaped pattern of change along altitudinal gradient. Woody species diversity decreased non-steadily from LoF to MoF. Transitional vegetations of Carpinus-Fagus and Fagus-Quercus represented higher diversity of woody taxa compared to adjacent homogenous communities. Significant correlation was observed between altitude and all parameters: DEN with MBA, DIS and DIV; MBA with DIS; MHC with DIS along with DIV; and DIS with DIV at the study area scale. Surprisingly,correlation between studied parameters differed within each vegetation type. Altitude probably acts as a proxy for human and environmental driving forces in this area. Stability of warm and wet condition, season length, soil depth along with forest accessibility probably influences the altitudinal pattern of the studied parameters. Disturbance affects forest structure and consequently diversity; especially in lowlands. The obtained results recommend using both forest biodiversity and mensuration data in management process of forest ecosystems. | Seyed Mohammad JAFARI Shahin ZARRE Seyed Kazem ALAVIPANAH | 2013 | Journal of Mountain Science2013，10，4： | 2 |
| 2 | Estimating Salinity Stress in Sugarcane Fields with Spaceborne Hyperspectral Vegetation Indices显示文摘 | Hamzeh S Naseri A A AlaviPanah S K | 2013 | International Journal of Applied Earth Observation and Geoinformation2013，21，： | 1 |
| 3 | Predic- tion of surface soil color using ETM+ satellite image and arti- ficial neural network approach显示文摘 | NOSHADI E BAHRAMI H A ALAVIPANAH S K | 2013 | International Journal of A- griculture : Research and Review2013，3，1： | 1 |
| 4 | Spatial–temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran显示文摘 | Reza Amiri Qihao Weng Abbas Alimohammadi Seyed Kazem Alavipanah | 2009 | Remote Sensing of Environment2009，，12： | 1 |
| 5 | Comparisons of object-oriented and pixelbased classification of land use/land cover types based on lansadsat7,ETM+ spectral bands (case study:arid region of iran)显示文摘 | MATINFAR H R SARMADIAN F ALAVIPANAH S K HECK R J | | 0，，04： | 1 |
| 6 | Spatial–temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran显示文摘 | Reza Amiri Qihao Weng Abbas Alimohammadi Seyed Kazem Alavipanah | 2009 | Remote Sensing of Environment2009，，12： | 1 |
| 7 | 查看详情显示文摘 | Ladoni M Bahrami H A Alavipanah S K | | 0，，01： | 1 |
| 8 | Estimating soil organic carbon from soil reflectance: a review 显示文摘 | LADONI M BAHRAMI H A ALAVIPANAH S K | 2010 | Precision Agriculture2010，11，1： | 1 |
| 9 | Estimating Soil Organic Carbon from Soil Reflectance: A Review显示文摘 | Ladoni M Bahrami H A Alavipanah S K | 2010 | Pre- cision Agriculture2010，11，1： | 1 |
| 10 | Soil-line vegetation indices for corn nitrogen content prediction显示文摘 | BAGHERI N AHMADI H ALAVIPANAH S | 2012 | International Agrophysics2012，26，2： | 1 |
| 11 | A new approach to LST modeling and normalization under clear-sky conditions based on a local optimization strategy显示文摘The normalization of LST relative to environmental parameters is of great importance in various environmental applications. The purpose of this study was to develop a new approach for LST normalization relative to environmental variables. These included topographic variables (i.e. solar irradiance and near-surface temperature lapse rate (NSTLR)) as well as biophysical properties (i.e. vegetation,wetness,and albedo). The study was conducted in two phases,namely (1) using global and (2) local optimization strategies to calculate the regression coefficients of environmental variables in the partial least squares regression (PLSR) and build the non-linear linking model in the random forest regression (RFR). The RMSEs between actual LST and modeled LST based on the global and local optimization strategies using PLSR (RFR) were 2.202 (0.935) and 0.939 (0.835) °C,respectively. The results showed that RFR had higher efficiency than PLSR in normalizing LST. Moreover,the local optimization method outperformed the global optimization method in terms of normalization accuracy. The results of this study could be very useful in many environmental applications such as identifying thermal anomalies,and surface anthropogenic heat island modeling. | Majid Kiavarz Mohammad Karimi Firozjaei Seyed Kazem Alavipanah Quazi K.Hassan Yoann Malbéteau Si-Bo Duan | 2022 | International Journal of Digital Earth2022，15，1： | 0 |
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