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National Forest Inventories : pathways for common reporting

Erkki Tomppo
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The article was published on 2010-01-01. It has received 596 citations till now.

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Towards the harmonization between National Forest Inventory and Forest Condition Monitoring. Consistency of plot allocation and effect of tree selection methods on sample statistics in Italy

TL;DR: Results suggest that both a revision of FCM network to account for forest area change and a plot-based approach to permit statistical inference and avoid bias in the tree sample composition in terms of DBH (and likely age and structure) are desirable in Italy.
Journal ArticleDOI

Size-class structure of the forests of Finland during 1921–2013: a recovery from centuries of exploitation, guided by forest policies

TL;DR: In this article, the authors analyzed the densities and mean volume estimates of trees in different size classes for the Finnish forests over the time-span of the National Forest Inventories (1921-2013).
Journal ArticleDOI

Co-limitation towards lower latitudes shapes global forest diversity gradients

Jing-Dan Liang, +247 more
TL;DR: In this article , a high-resolution map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots is presented.
Journal ArticleDOI

Using a Finer Resolution Biomass Map to Assess the Accuracy of a Regional, Map-Based Estimate of Forest Biomass

TL;DR: In this paper, the authors used a hybrid approach to estimate uncertainty due to sampling from the finer resolution map, and model-based inferential techniques were used to estimate the uncertainty resulting from using the finer-resolution map unit values which were subject to prediction error as reference data.
Journal ArticleDOI

Assessment of forest cover and carbon stock changes in sub-tropical pine forest of Azad Jammu & Kashmir (AJK), Pakistan using multi-temporal Landsat satellite data and field inventory.

TL;DR: The results based on combination of remote sensing and field inventory provide valuable information and scientific basis to plan and ensure sustainable forest management (SFM) through reforestation, protection and conservation to enhance and maintain adequate forest cover and reduce CO2 emissions.
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