Abstract
For centuries, land degradation triggered by deforestation has occurred in Ethiopia, in particular in the northern regional state Tigray, the area under study. In order to change this situation, the local government started to establish enclosures. In these sites, grazing is no longer permitted so that forest can naturally regenerate. In order to develop sustainable yield planning for forest rehabilitation areas in Tigray, one needs to know the effect of closing areas on biomass accumulation. In an enclosure, aboveground dry weight of herbaceous and woody species was estimated at 1,84 ton/ha. A combination of destructive and non-destructive methods was tested. The non-destructive study was rejected because of a non-accurate wood density estimation, and low correlation coefficients for the weight predicting models. Best fit-least square regression models were developed using diameter at 30 cm height as the independent variables and dry weight as the dependent variable. Coefficients of determination for the selected total biomass models of the destructive study ranged from 0,67 up to 0,99, whereas they ranged from 0,20 to 0,90 for the woody species in the non-destructive study. Equations for foliage biomass generally had lower coefficients of determination than the equations for either stem or total biomass of the woody species. Non woody biomass was measured in different enclosures in order to estimate the biomass production in function of the management technique. 98 % of the total herbaceous biomass of the sampled grass
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Claims 5
Claim · model-written summary
Enclosure aboveground dry weight of herbaceous and woody species was estimated at 1,84 ton/ha.
Verbatim
e0“In an enclosure, aboveground dry weight of herbaceous and woody species was estimated at 1,84 ton/ha.”
Claim · model-written summary
The non-destructive biomass method was rejected for inaccurate wood density and low model correlations.
- Outcome
- non-accurate wood density estimation, and low correlation coefficientse0
Not reportedComparatorValue
Verbatim
e0“The non-destructive study was rejected because of a non-accurate wood density estimation, and low correlation coefficients for the weight predicting models.”
Claim · model-written summary
Selected destructive-study total biomass models had coefficients of determination of 0,67 to 0,99.
Not reportedTaxon
Verbatim
e0“Coefficients of determination for the selected total biomass models of the destructive study ranged from 0,67 up to 0,99”
Claim · model-written summary
Non-destructive woody-species models had coefficients of determination of 0,20 to 0,90.
Verbatim
e0“they ranged from 0,20 to 0,90 for the woody species in the non-destructive study”
Claim · model-written summary
Foliage biomass equations had lower determination coefficients than stem or total biomass equations.
Verbatim
e0“Equations for foliage biomass generally had lower coefficients of determination than the equations for either stem or total biomass of the woody species.”