Schaepman Michael
A plant functional diversity approach in a regional ecosystem service assessment of different grasslands
Ein funktioneller Pflanzendiversität-Ansatz bei der regionalen Ökosystemdienstleistungsbewertung von Wiesen und Weiden
Project Number: CH-5991
Project Type: |
Dissertation |
Project Duration: |
01/02/2013 - 12/31/2021 project completed |
Funding Source: |
other , |
Leading Institution: |
University of Zürich |
Project Leader: |
Prof. Michael Schaepman Head Remote Sensing Laboratories (RSL) Geographisches Institut - Remote Sensing Lab. Universität Zürich 25J54 Winterthurerstr. 190 8057 Zürich Phone: +41 (0) 44 635 51 60 ; +41 (0) 44 635 51 61 FAX: +41 (0) 44 635 68 48 e-Mail: michael.schaepman(at)geo.uzh.ch http://www.geo.uzh.ch/rsl/ |
Research Areas:
Disciplines:
Keywords:
plant functional diverstiy, ecosystem service, grassland
Abstract:
In the submitted thesis opportunities were highlighted and challenges tackled in remote sensing of grassland biodiversity. Thereby, understanding the particularities of the grassland ecosystems under observation and the implication of spatial, spectral, and temporal resolutions of optical remote sensing on plant diversity estimations was essential to bridge the work of ecologists and remote sensing specialists. The findings of the thesis are crucial to develop systematic measurements and operational missions to monitor biodiversity remotely. The developed and implemented methods were used to estimate plant biodiversity in the Swiss National Park and its surroundings.The findings offer new insights into the debate on whether a non-intervention policy, i.e., long-term protection endeavour, that allows natural processes to take their course, is a valuable management strategy to increase biodiversity.
Leading questions:
1. How is the spectral response of grassland communities influenced by different functional
diversity metrics of plants? Or in other words, can imaging spectroscopy data be used to
quantify plant functional diversity indices of heterogeneous grassland?
2. How do two different passive sensors behave in detecting plant functional diversity?
3. How do functional traits respond to different grassland managements and how do the
traits change over the course of the growing season?
4. Which management scheme produces the highest functional diversity across both spatial
and temporal scales?
5. Are functional diversity pattern on a landscape scale influencing the ecosystem service
delivery?
6. What are the different outcomes of the functional diversity compared with a classical
Land-cover/Land-use based approach in assessing ecosystem services?
Publications:
List of publicationsChristian Rossi, Mathias Kneubühler, Martin Schütz, Michael E. Schaepman, Rudolf M. Haller, Anita C. Risch, 2021.
Remote sensing of spectral diversity: A new methodological approach to account for spatio-temporal dissimilarities between plant communities.
Ecological Indicators, Volume 130, 108106, https://doi.org/10.1016/j.ecolind.2021.108106
Christian Rossi, Mathias Kneubühler, Martin Schütz, Michael E. Schaepman, Rudolf M. Haller, Anita C. Risch, 2021. Spatial resolution, spectral metrics and biomass are keyaspects in estimating plant species richness from spectraldiversity in species-rich grasslands. Remote Sensing of Ecology and Conservation, https://doi.org/10.1002/rse2.244
Präsentation an Tagung Parkforschung, 15.10.21 im Entlebuch:
Ross, C., 2021: Auswirkungen von langfristigen Schutzbestrebungen: Fernerkundung der Grasland-Diversität. Präsentation an Tagung Parkforschung, 15.10.2021, erhältlich bei parkforschung@scnat.ch
Rossi, Ch. 2022. Remote sensing of grassland biodiversity. Dissertation. Zürich.
pdf article
Last update: 12/21/22
Source of data: ProClim- Research InfoSystem (1993-2024)
Update the data of project: CH-5991
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