Project Details
Description
The alarming rate of biodiversity loss and ecosystem transitions make it clear that new strategies are required to sustain functioning of the coupled ecological-societal system. Existing space data archives and data streams from the ESA Sentinels, offer unprecedented opportunities to provide rapid, high quality indicators necessary for informed management of key ecosystem services. Yet, it remains largely unclear how space and ground-based observations can be optimally integrated to generate products required by end user communities (Secretariat of the Convention on Biological Diversity, 2014). By fusing extensive expertise on optical and radar remote sensing, ground data on ecosystem state and function, “big data” scientists, and active participation of user groups, BACI will advance this integration. BACI will translate space data to new variables (not directly observable from space) that encode ecosystem functional properties and status metrics. This will empower concepts of “essential biodiversity variables”. Advanced machine learning methods will be employed to reveal new and fundamental relationships between space observations and ecosystem status. BACI will incorporate a wide range of original data and downstream data products specifically targeting needs for early-warning systems, including a novel “Biosphere-Atmosphere Change Index”. We will prioritize selected key European and African regions now undergoing massive societal-ecological transformations, offering perspective towards operational assessments. A formal attribution framework will disentangle climate-induced ecosystem changes and socioeconomic/ecological transformation processes. Overall, BACI will advance usage of European space data to monitor relevant vegetation traits, status, and ecosystem functioning. By capitalizing on existing datasets, we will prototype new algorithms to rapidly implement these metrics and thus space-to-ground integration of the new ESA Sentinels.
| Acronym | BACI |
|---|---|
| Status | Finished |
| Effective start/end date | 1/04/15 → 31/03/19 |
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Research output
- 17 Article
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Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation
Joswig, J. S., Wirth, C., Schuman, M. C., Kattge, J., Reu, B., Wright, I. J., Sippel, S. D., Rüger, N., Richter, R., Schaepman, M. E., van Bodegom, P. M., Cornelissen, J. H. C., Díaz, S., Hattingh, W. N., Kramer, K., Lens, F., Niinemets, Ü., Reich, P. B., Reichstein, M. & Römermann, C. & 21 others, , 2022, In: Nature Ecology and Evolution. 6, 1, p. 36-50Research output: Contribution to journal › Article › Academic › peer-review
Open Access295 Link opens in a new tab Citations (Scopus) -
The global spectrum of plant form and function: enhanced species-level trait dataset
Díaz, S., Kattge, J., Cornelissen, J. H. C., Wright, I. J., Lavorel, S., Dray, S., Reu, B., Kleyer, M., Wirth, C., Prentice, I. C., Garnier, E., Bönisch, G., Westoby, M., Poorter, H., Reich, P. B., Moles, A. T., Dickie, J., Zanne, A. E., Chave, J. & Wright, S. J. & 126 others, , 7 Dec 2022, In: Scientific Data. 9, 755.Research output: Contribution to journal › Article › Academic › peer-review
Open Access90 Link opens in a new tab Citations (Scopus) -
sPlotOpen – An environmentally balanced, open-access, global dataset of vegetation plots
Sabatini, F. M., Lenoir, J., Hattab, T., Arnst, E. A., Chytrý, M., Dengler, J., De Ruffray, P., Hennekens, S. M., Jandt, U., Jansen, F., Jiménez-Alfaro, B., Kattge, J., Levesley, A., Pillar, V. D., Purschke, O., Sandel, B., Sultana, F., Aavik, T., Aćić, S. & Acosta, A. T. R. & 141 others, , 2021, In: Global Ecology and Biogeography. 30, 9, p. 1740-1764Research output: Contribution to journal › Article › Academic › peer-review
Open Access107 Link opens in a new tab Citations (Scopus)