A laboratory for conceiving Essential Biodiversity Variables (EBVs)-The Data pool initiative for the Bohemian Forest Ecosystem

0551676 - ÚVGZ 2022 RIV GB eng J - Journal Article
Latifi, H. - Holzwarth, S. - Skidmore, I. H. - Brůna, Josef - Červenka, J. - Darvishzadeh, R. - Hais, M. - Heiden, U. - Homolová, Lucie - Krzystek, P. - Schneider, T. - Starý, M. - Wang, T. - Mueller, J. - Heurich, M.
A laboratory for conceiving Essential Biodiversity Variables (EBVs)-The Data pool initiative for the Bohemian Forest Ecosystem.
HOBOKEN: WILEY, 2021. Methods in Ecology and Evolution. Roč. 12, č. 11 (2021), s. 2073-2083. ISSN 2041-210X. E-ISSN 2041-2096
Institutional support: RVO:86652079 ; RVO:67985939
Keywords : rapideye data * outbreaks * habitat * sentinel-2 * supersites * imagery * traits * area * help * bohemian forest ecosystem * data pool * forest ecosystem science * remote sensing * remote sensing-enabled essential biodiversity variables
OECD category: Environmental sciences (social aspects to be 5.7); Environmental sciences (social aspects to be 5.7) (BU-J)
Impact factor: 8.335, year: 2021
Method of publishing: Open access
https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13695

Effects 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 Sumava 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.
Permanent Link: http://hdl.handle.net/11104/0326913