<p>A value of 1 indicates a ‘perfect’ fit, 0 suggests the model is no better than the mean, and negative values indicate a poor fit. Note that dashes (–) indicate no data for the forest type and region.</p
Top panel: ejido (treatment group) compared to observationally similar private property pixels (cont...
The accurate prediction of forest above-ground biomass is nowadays key to implementing climate chang...
Top panel: ejido (treatment group) compared to observationally similar private property pixels (cont...
<p>Individual (per-unit-area) estimates of field- (observation) and model-based (prediction) coarse ...
<p>Model-based estimates of coarse woody debris carbon density are calculated using live tree carbon...
<p>Model-based estimates of slash piles (i.e., logging residues) are calculated by region, broad for...
<p>Results of fitting modelling data by some common models usually used in estimation for forest bio...
The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential componen...
The implementation of forest-based projects to mitigate greenhouse gas emissions requires the estima...
<p>Broad equivalence = 0.75 to 1.25, narrow equivalence = 0.90 to 1.10, and ne = no equivalence.</p
<p>For each plant group, the species have been ranked according to decreasing AUC* values. The logis...
Uncertainty in above ground forest biomass (AGB) estimates at broad-scale depends primarily on three...
<p>Values are means ± standard errors. Tests for differences among regions are provided. In bold the...
<p>Comparisons of the goodness-of-fit of seven SAD models to species abundance data from four layers...
Information on the amount, distribution, and characteristics of coarse woody debris (CWD) in forest ...
Top panel: ejido (treatment group) compared to observationally similar private property pixels (cont...
The accurate prediction of forest above-ground biomass is nowadays key to implementing climate chang...
Top panel: ejido (treatment group) compared to observationally similar private property pixels (cont...
<p>Individual (per-unit-area) estimates of field- (observation) and model-based (prediction) coarse ...
<p>Model-based estimates of coarse woody debris carbon density are calculated using live tree carbon...
<p>Model-based estimates of slash piles (i.e., logging residues) are calculated by region, broad for...
<p>Results of fitting modelling data by some common models usually used in estimation for forest bio...
The inventory and monitoring of coarse woody debris (CWD) carbon (C) stocks is an essential componen...
The implementation of forest-based projects to mitigate greenhouse gas emissions requires the estima...
<p>Broad equivalence = 0.75 to 1.25, narrow equivalence = 0.90 to 1.10, and ne = no equivalence.</p
<p>For each plant group, the species have been ranked according to decreasing AUC* values. The logis...
Uncertainty in above ground forest biomass (AGB) estimates at broad-scale depends primarily on three...
<p>Values are means ± standard errors. Tests for differences among regions are provided. In bold the...
<p>Comparisons of the goodness-of-fit of seven SAD models to species abundance data from four layers...
Information on the amount, distribution, and characteristics of coarse woody debris (CWD) in forest ...
Top panel: ejido (treatment group) compared to observationally similar private property pixels (cont...
The accurate prediction of forest above-ground biomass is nowadays key to implementing climate chang...
Top panel: ejido (treatment group) compared to observationally similar private property pixels (cont...
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