جستجوی مقالات مرتبط با کلیدواژه « زی توده روی زمینی » در نشریات گروه « جنگلداری »

TThe forest plantation strategy is to do with the identification of the most appropriate zones and the areas that are most suitable for different species. However, the success of this strategy requires the precise determination of the species ecological demands and the evaluation of the land before the establishment of the plantation. The purpose of this study is to assess the ecological capability and estimate the aboveground biomass for the forest plantation in Darabkola forest, so, the species could be prioritized according to these objectives, and also for future forest plantation in the same. In this study, at first, the suitable zones for the forest plantation was identified using the SQL search function in Arc GIS 10.3 software interface. Then, the carbon sequestration in forest plantation (per hectare) was estimated using the measured parameters of trees and alometric equations. Results showed that, by simultaneously considering the mentioned objectives, Maple, Coliseum maple and Ash, were ranked as the most compatible species from the ecological compatibility point of view, and the highest level of the carbon stock was found for oak species. Therefore, these species are in priority for forest plantation in the region. Due to the fact that, the former forest plantation focused mainly on considering the ecological potential of a given species, the current study emphasized taking into account the multiple objectives for the future forest plantation. In other words, in addition to the ecological capability, other goals should be considered.

In the current study, the capability of OLI-Landsat 8 data was investigated for estimating the tree above-ground woody biomass (AGWB) in Hyrcanian Fagus orientalis stands. The quality of images in term of geometric error and existing cloud was surveyed. Principle component analysis (PCA), tasseled cap transformation, rationing and fusion in both PCA and color transform approaches were employed on the images. 65 square sample plots (45×45 m2) were established in the study area and 45 sample plots were used for modeling with multiple linear regression (MLR) as stepwise. The model was validated with remaining 20 sample plots. Pearson correlation results showed most relationship between tree AGWB and corresponding spectral responds from PCA on spectral bands of 1 to 7. The same result was observed using MLR. So, this component was the most efficient variable in tree AGWB estimation in pure Fagus stands in the study area with adjusted-R2= 0.122, RMSE=14.3%, and bias=1.8%. The error of this model can be accepted on the large scale such as watersheds.