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Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem”

Heiden, Uta and Holzwarth, Stefanie and Pinnel, Nicole and Reichmuth, Anne and Raczko, Edwin and Heurich, Marco and Müller, Jörg and Wang, Zhihui and Skidmore, Andrew and Ali, Abebe and Wang, Tiejun and Darvishzadeh, Roshanak and Wegmann, Martin (2016) Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem”. Living Planet Symposium 2016, 9-13 May 2016, Prague, Czech Republic.

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Abstract

Forest ecosystems respond very sensitively to climate and atmospheric changes. Feedback mechanisms can be measured via changes in albedo, energy balance and carbon storage. The Bavarian Forest National Park is a unique forest ecosystem with large non-intervention zones, which promote a large scale re-wilding process with low human interference. It provides important ecosystem services of clear water, carbon sequestration and recreation, and has fragile habitats with endangered forest species. The national park is therefore a very suitable field of research to study natural and near natural ecosystem processes. Under the leadership of the national park authority, experts from various European research institutions have joined forces to systematically establish a remote sensing data pool on the Bavarian Forest as a resource for their research. This collaborative effort provides an opportunity to combine various methodological approaches and data and to optimize products by sharing knowledge and expertise. The first objective of the data pool is to develop methods for the establishment of Essential Biodiversity Variables (EBV) based on a very sound and comprehensive data base. The recent advances in tighter collaboration of remote sensing and biodiversity science, especially with regard to the newly established EBV and RS-EBV concepts will help to improve the interdisciplinary research. However, such concepts and especially the underlying remote sensing data need to be developed, adapted and validated against biodiversity patterns. Such process needs an extensive set of in-situ and remotely sensed data in order to allow a thorough analysis. The Bavarian data pool fits these requirements through the commitment of all members and hence provides a variety of remote sensing data sets such as hyperspectral, Lidar as well as CIR and multispectral data, as well as a wealth of in-situ data of zoological and botanical transects. This combination allows setting sensor-specific, as well as species-specific analysis on different aspects, i.e. different processes between managed and natural forest, impact of climate change or species distribution mapping. The second objective is to develop concepts for EBV using Sentinel mission data combined with data from future contributing hyperspectral missions such as EnMAP. Spaceborne hyperspectral data has been identified by the remote sensing related biodiversity community as an important data source. However, the acquisition of airborne data is very expensive for regular coverage of forest stands and the entire forest ecosystem. This drawback will be overcome by the launch of the space-borne imaging spectroscopy mission EnMAP. It is a contributing mission to the Copernicus program and will be launched in 2018. EnMAP is expected to provide high quality imaging spectroscopy data on an operational basis and will be suitable for the retrieval of high resolution plant traits at local scales. First studies within the data pool have been focused on e.g. derivation of plant traits like chlorophyll, LAI and nitrogen and tree species classification with a special focus on rare species within the national park, just to name a few. Objective, purpose and content of the data pool will be shown as well as first selective developments.

Item URL in elib:https://elib.dlr.de/104845/
Document Type:Conference or Workshop Item (Poster)
Title:Laboratory for Essential Biodiversity Variables (EBV) Concepts – The “Data Pool Initiative for the Bohemian Forest Ecosystem”
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Heiden, Utauta.heiden (at) dlr.deUNSPECIFIED
Holzwarth, StefanieStefanie.Holzwarth (at) dlr.dehttps://orcid.org/0000-0001-7364-7006
Pinnel, NicoleNicole.Pinnel (at) dlr.dehttps://orcid.org/0000-0003-1978-3204
Reichmuth, AnneAnne.Reichmuth (at) dlr.deUNSPECIFIED
Raczko, EdwinUniversity of WarsawUNSPECIFIED
Heurich, MarcoBavarian Forest National Park, Department of ResearchUNSPECIFIED
Müller, JörgBavarian Forest National Park, Department of ResearchUNSPECIFIED
Wang, Zhihuiz.wang-1 (at) utwente.nlUNSPECIFIED
Skidmore, Andrewa.k.skidmore (at) utwente.nlUNSPECIFIED
Ali, AbebeUniversity of Twente, Department of Natural Resources (ITC)UNSPECIFIED
Wang, Tiejunt.wang (at) utwente.nlUNSPECIFIED
Darvishzadeh, Roshanakr.darvish (at) utwente.nlUNSPECIFIED
Wegmann, Martinmartin.wegmann (at) uni-wuerzburg.deUNSPECIFIED
Date:2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Forestry, Biodiversity
Event Title:Living Planet Symposium 2016
Event Location:Prague, Czech Republic
Event Type:international Conference
Event Dates:9-13 May 2016
Organizer:ESA
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Holzwarth, Stefanie
Deposited On:28 Jun 2016 13:07
Last Modified:31 Jul 2019 20:02

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