Utilising forest inventory data for biodiversity assessment

Currently the paradigm of sustainable forest management is extended to a broad range of ecological, economic, and social forest functions and services. In particular, biodiversity becomes a more and more important issue in the forest planning processes. However, its quantification, monitoring and as...

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Autores principales:	Michael Heym, Enno Uhl, Ralf Moshammer, Jochen Dieler, Kilian Stimm, Hans Pretzsch
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Biodiversity Forest inventory Spatial and temporal scales Scale-overarching Sustainable forest management planning Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/b98c0a30995c4c5c836108a73401adef
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id	oai:doaj.org-article:b98c0a30995c4c5c836108a73401adef
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spelling	oai:doaj.org-article:b98c0a30995c4c5c836108a73401adef2021-12-01T04:38:26ZUtilising forest inventory data for biodiversity assessment1470-160X10.1016/j.ecolind.2020.107196https://doaj.org/article/b98c0a30995c4c5c836108a73401adef2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311353https://doaj.org/toc/1470-160XCurrently the paradigm of sustainable forest management is extended to a broad range of ecological, economic, and social forest functions and services. In particular, biodiversity becomes a more and more important issue in the forest planning processes. However, its quantification, monitoring and assessment still remain complex and difficult although data from regional or national forest inventories might contribute valuable information for quantifying biodiversity. Here, we demonstrate how such data can be tapped and aggregated to different spatial and temporal scales for deriving indicators to support biodiversity assessment and monitoring. By focusing on tree species and structural related indices, our method allows the evaluation of spatial and temporal variation of diversity indicators by using inventory data. We present a practice-oriented approach on how to integrate such indicators into forest planning processes and thereby extend the paradigm of sustainability of forest management. We exemplify our approach by inventory data from the Bavarian State Forest Enterprise to show how inventory data can be utilised to (i) assess biodiversity aspects from stand to landscape scales and (ii) integrate such information into forest management at different spatial and temporal scales. Finally, we discuss how this information extracted from forest inventories may contribute to a more generalised assessment, monitoring and planning of biodiversity in managed forest ecosystems.Michael HeymEnno UhlRalf MoshammerJochen DielerKilian StimmHans PretzschElsevierarticleBiodiversityForest inventorySpatial and temporal scalesScale-overarchingSustainable forest management planningEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107196- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biodiversity Forest inventory Spatial and temporal scales Scale-overarching Sustainable forest management planning Ecology QH540-549.5
spellingShingle	Biodiversity Forest inventory Spatial and temporal scales Scale-overarching Sustainable forest management planning Ecology QH540-549.5 Michael Heym Enno Uhl Ralf Moshammer Jochen Dieler Kilian Stimm Hans Pretzsch Utilising forest inventory data for biodiversity assessment
description	Currently the paradigm of sustainable forest management is extended to a broad range of ecological, economic, and social forest functions and services. In particular, biodiversity becomes a more and more important issue in the forest planning processes. However, its quantification, monitoring and assessment still remain complex and difficult although data from regional or national forest inventories might contribute valuable information for quantifying biodiversity. Here, we demonstrate how such data can be tapped and aggregated to different spatial and temporal scales for deriving indicators to support biodiversity assessment and monitoring. By focusing on tree species and structural related indices, our method allows the evaluation of spatial and temporal variation of diversity indicators by using inventory data. We present a practice-oriented approach on how to integrate such indicators into forest planning processes and thereby extend the paradigm of sustainability of forest management. We exemplify our approach by inventory data from the Bavarian State Forest Enterprise to show how inventory data can be utilised to (i) assess biodiversity aspects from stand to landscape scales and (ii) integrate such information into forest management at different spatial and temporal scales. Finally, we discuss how this information extracted from forest inventories may contribute to a more generalised assessment, monitoring and planning of biodiversity in managed forest ecosystems.
format	article
author	Michael Heym Enno Uhl Ralf Moshammer Jochen Dieler Kilian Stimm Hans Pretzsch
author_facet	Michael Heym Enno Uhl Ralf Moshammer Jochen Dieler Kilian Stimm Hans Pretzsch
author_sort	Michael Heym
title	Utilising forest inventory data for biodiversity assessment
title_short	Utilising forest inventory data for biodiversity assessment
title_full	Utilising forest inventory data for biodiversity assessment
title_fullStr	Utilising forest inventory data for biodiversity assessment
title_full_unstemmed	Utilising forest inventory data for biodiversity assessment
title_sort	utilising forest inventory data for biodiversity assessment
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/b98c0a30995c4c5c836108a73401adef
work_keys_str_mv	AT michaelheym utilisingforestinventorydataforbiodiversityassessment AT ennouhl utilisingforestinventorydataforbiodiversityassessment AT ralfmoshammer utilisingforestinventorydataforbiodiversityassessment AT jochendieler utilisingforestinventorydataforbiodiversityassessment AT kilianstimm utilisingforestinventorydataforbiodiversityassessment AT hanspretzsch utilisingforestinventorydataforbiodiversityassessment
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Utilising forest inventory data for biodiversity assessment

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