TY  - JOUR
A1  - Latifi, Hooman
A1  - Holzwarth, Stefanie
A1  - Skidmore, Andrew
A1  - Brůna, Josef
A1  - Červenka, Jaroslav
A1  - Darvishzadeh, Roshanak
A1  - Hais, Martin
A1  - Heiden, Uta
A1  - Homolová, Lucie
A1  - Krzystek, Peter
A1  - Schneider, Thomas
A1  - Starý, Martin
A1  - Wang, Tiejun
A1  - Müller, Jörg
A1  - Heurich, Marco
T1  - A laboratory for conceiving Essential Biodiversity Variables (EBVs)—The ‘Data pool initiative for the Bohemian Forest Ecosystem’
JF  - Methods in Ecology and Evolution
N2  - 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 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.
KW  - bohemian forest ecosystem
KW  - data pool
KW  - forest ecosystem science
KW  - remote sensing
KW  - remote sensing‐enabled essential biodiversity variables
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-262743
VL  - 12
IS  - 11
ER  -