Parcs

ID	TITEL	DATENTYP	AUTOR	JAHR
NPHT	Biodiversitätsdatenbank des Nationalparks Hohe Tauern	Project	Nationalpark Hohe Tauern	2002

Bemerkungen/Beschreibung

Article
Assessing Forest Biodiversity: A Novel Index to Consider
Ecosystem, Species, and Genetic Diversity
Jana-Sophie Ette  , Markus Sallmannshofer and Thomas Geburek
Austrian Research Centre for Forests, Department for Forest Growth, Silviculture, and Genetics,
Seckendorff-Gudent Weg 8, 1130 Vienna, Austria
 Correspondence: sophie.ette@yahoo.de
Abstract: Rates of biodiversity loss remain high, threatening the life support system upon which
all human life depends. In a case study, a novel biodiversity composite index (BCI) in line with the
Convention on Biological Diversity is established in Tyrol, Austria, based on available national forest
inventory and forest typing data. Indicators are referenced by ecological modeling, protected areas,
and unmanaged forests using a machine learning approach. Our case study displays an average
biodiversity rating of 57% out of 100% for Tyrolean forests. The respective rating for ecosystem
diversity is 49%; for genetic diversity, 53%; and for species diversity, 71%. Coniferous forest types
are in a more favorable state of preservation than deciduous and mixed forests. The BCI approach is
transferable to Central European areas with forest typing. Our objective is to support the conservation
of biodiversity and provide guidance to regional forest policy. BCI is useful to set restoration priorities,
reach conservation targets, raise effectiveness of financial resources spent on biodiversity conservation,
and enhance Sustainable Forest Management.
Keywords: convention on biological diversity; national forest inventory; dynamic forest typing;
machine learning; sustainable forest management; temperate forests

Eintrag Nr. 52258

Assessing Forest Biodiversity: A Novel Index to Consider Ecosystem, Species, and Genetic Diversity