Functional diversity is an emerging concept which summarizes key properties of ecosystems of special interest in global climate change studies and in the evaluation of the effects of land management in the preservation of ecosystem services. Functional diversity may be linked directly to the ecosystem services; The Plant biomass encompasses many ecosystem services such as food supply, conservation, tourism pollination. In this study, we tested several hypothesis (1) existence of a close relationship between species richness and plant biomass (2) existence of a close relationship between CWM Functional Diversity index and plant biomass (3) Explain the high percentage of plant biomass variations. The results showed that the species richness in order to predict the plant biomass with a correlation coefficient equal to 3 not count as a proper indicator. But, the correlation coefficient CWM Functional Diversity with plant biomass was about 0.53, which is relatively good indicator to estimate the plant biomass because explained a significant percentage of the biomass variations.. Finally, can be seen that the incorporation of Abiotic factors, plant traits and functional diversity (CWM) that contains the parameters of rainfall, leaf length, temperature, CWM- Height, CWM- Long Leaf and CWM-ME are more up 76 percent of plant biomass variations and considered as the most appropriate model predicts plant biomass.
Gharanjad, A., Tahmasabi, P., Asadi, E., & Motamidi, J. (2015). Select the best predict biomass production model by using of CWM Functional Diversity. Watershed Management Research, 28(4), 48-61. doi: 10.22092/wmej.2016.109744
MLA
Ali Gharanjad; Pezhman Tahmasabi; Esmail Asadi; Javad Motamidi. "Select the best predict biomass production model by using of CWM Functional Diversity". Watershed Management Research, 28, 4, 2015, 48-61. doi: 10.22092/wmej.2016.109744
HARVARD
Gharanjad, A., Tahmasabi, P., Asadi, E., Motamidi, J. (2015). 'Select the best predict biomass production model by using of CWM Functional Diversity', Watershed Management Research, 28(4), pp. 48-61. doi: 10.22092/wmej.2016.109744
VANCOUVER
Gharanjad, A., Tahmasabi, P., Asadi, E., Motamidi, J. Select the best predict biomass production model by using of CWM Functional Diversity. Watershed Management Research, 2015; 28(4): 48-61. doi: 10.22092/wmej.2016.109744
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