2016
DOI: 10.1007/s13595-016-0586-x
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Editorial: “Forest Inventories at the European level”

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Cited by 2 publications
(1 citation statement)
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“…On the international level, in 1985, the United Nations Economic Commission for Europe (UNECE-CLRTAP) launched the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests with the aim of monitoring the spatial and temporal variation of forest conditions in relation to anthropogenic and natural stress factors [20]. On the national level, forest monitoring is based mostly on National Forest Inventory (NFI) programmes, which provide data on the tree species, growing stock, increment, and status of timber and non-timber forest resources [19,21]. Although forest monitoring (e.g., International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests) (ICP Forest)) and NFI provide relevant data indispensable for forest management and the conservation of ecosystems, they do not share common targets with a genetic monitoring approach.…”
Section: Introductionmentioning
confidence: 99%
“…On the international level, in 1985, the United Nations Economic Commission for Europe (UNECE-CLRTAP) launched the International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests with the aim of monitoring the spatial and temporal variation of forest conditions in relation to anthropogenic and natural stress factors [20]. On the national level, forest monitoring is based mostly on National Forest Inventory (NFI) programmes, which provide data on the tree species, growing stock, increment, and status of timber and non-timber forest resources [19,21]. Although forest monitoring (e.g., International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests) (ICP Forest)) and NFI provide relevant data indispensable for forest management and the conservation of ecosystems, they do not share common targets with a genetic monitoring approach.…”
Section: Introductionmentioning
confidence: 99%