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dc.contributor.authorMüller, Jörg
dc.contributor.authorWang, Tiejun
dc.contributor.authorStarý, Martin
dc.contributor.authorSchneider, Thomas
dc.contributor.authorKrzystek, Peter
dc.contributor.authorHomolová, Lucie
dc.contributor.authorHeiden, Uta
dc.contributor.authorHais, Martin
dc.contributor.authorDarvishzadeh, Roshanak
dc.contributor.authorČervenka, Jaroslav
dc.contributor.authorBrůna, Josef
dc.contributor.authorSkidmore, Andrew
dc.contributor.authorHolzwarth, Stefanie
dc.contributor.authorLatifi, Hoolman
dc.contributor.authorHeurich, Marco
dc.description.abstractEffects of climate change-induced events on forest ecosystem dynamics of composition, function and structure call for increased long-term, interdisciplinary and integrated research on biodiversity indicators, in particular within strictly protected areas with extensive non-intervention zones. The long-established concept of forest supersites generally relies on long-term funds from national agencies and goes beyond the logistic and financial capabilities of state-or region-wide protected area administrations, universities and research institutes. We introduce the concept of data pools as a smaller-scale, user-driven and reasonable alternative to co-develop remote sensing and forest ecosystem science to validated products, biodiversity indicators and management plans. We demonstrate this concept with the Bohemian Forest Ecosystem Data Pool, which has been established as an interdisciplinary, international data pool within the strictly protected Bavarian Forest and Šumava National Parks and currently comprises 10 active partners. We demonstrate how the structure and impact of the data pool differs from comparable cases. We assessed the international influence and visibility of the data pool with the help of a systematic literature search and a brief analysis of the results. Results primarily suggest an increase in the impact and visibility of published material during the life span of the data pool, with highest visibilities achieved by research conducted on leaf traits, vegetation phenology and 3D-based forest inventory. We conclude that the data pool results in an efficient contribution to the concept of global biodiversity observatory by evolving towards a training platform, functioning as a pool of data and algorithms, directly communicating with management for implementation and providing test fields for feasibility studies on earth observation missions.en_US
dc.rightsNavngivelse-Ikkekommersiell 4.0 Internasjonal*
dc.subjectbohemian forest ecosystemen_US
dc.subjectdata poolen_US
dc.subjectforest ecosystem scienceen_US
dc.subjectremote sensingen_US
dc.subjectremote sensing-enabled essential biodiversity variablesen_US
dc.titleA laboratory for conceiving Essential Biodiversity Variables (EBVs)—The ‘Data pool initiative for the Bohemian Forest Ecosystem’en_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.subject.nsiVDP::Matematikk og Naturvitenskap: 400en_US
dc.source.journalMethods in Ecology and Evolutionen_US

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Navngivelse-Ikkekommersiell 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse-Ikkekommersiell 4.0 Internasjonal