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We illustrate the proposed method using forest biomass data from the Forest Inventory and Analysis program of the United States Department of Agriculture USDA Forest Servicece.
The normalised biomass across all treatments was significantly different between harvests (paired t test, P < 0.001); therefore, the normalised aboveground biomass data from the two harvests were analysed individually.
For spatial AGB, a linear regression relationship was developed using field-based biomass data from the center of 1 ha grid and CPA obtained from the 2009 GeoEye-1 image.
The general linear model (GLM) analysis of variance (ANOVA) were used to compare gain yield, grain nutrient uptake, and total biomass data from the different treatments and also between the varieties using SPSS version 17.
Notable from that study is that in-situ biomass data from the start of the time period, which are generally lacking in tropical countries, were not required.
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In addition, microbial biomass is a common component of ecosystem models of soil dynamics [ 23]; the biomass data from this study can be used by modelers for parameterization or validation.
For Year 1, we used cover data from the last sampling period in July 2004 and biomass data from August 2004 to build the data matrix.
This project has thus archived and mapped a broad spectrum of biomass data from CoML projects from around the world, added data from a number of previous comprehensive reviews, and, as a result, produced maps of biomass of a limited number of size groups living on the sea floor on a world wide basis.
Busemeyer et al. [ 4] used biomass data from four families predicted based on measurements of the precision phenotyping platform at three developmental stages in combination with an association mapping approach to detect QTL.
Here, we collated new and existing root biomass data from ca. 900 individual trees or shrubs to develop and test allometric equations for predicting root biomass based on stem diameter (of unharvested trees or shrubs) or height (of coppice harvested trees) in these plantings.
2. Woody biomass data from sample plots in wildlands.
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