Grêt-Regamey Adrienne

Ecopotential - Generic Software Toolbox Development and proof of concept (Task 7.3)

Project Number: CH-6238
Project Type: Research_Project
Project Duration: 06/01/2016 - 06/01/2019 project completed
Funding Source: EU ,
Leading Institution: ETHZ
Project Leader: Prof. Adrienne Grêt-Regamey
ETH HIL H 51.3

Phone: +41 (0) 44 633 29 57 ; +41 (0) 44 633 29 81
FAX: +41 (0) 44 633 10 84
e-Mail: gret(at)ethz.ch
http://www.plus.ethz.ch/chair/people/person-detail.html?persid=56793

related to this project.
for which the project has a relevance.

Disciplines:
environmental sciences
computation sciences

Keywords:
ecosystem services, software

Abstract:
• Develop a generic toolbox that will combine the harmonized information, products and knowledge on ecosystem services (Task 7.2) using causal network conceptualization or Bayesian concepts driven by outputs (Task 6.2) and quantify their response to change-scenarios including probabilities (WP6.3 and WP8.3). Within FP7 OPERA, several projects are using Bayesian Networks to operationalize the ecosystem services concept. In MOUNTLAND, Bayesian Networks have been used in the last seven years to quantify and value ecosystem services provision in Alpine areas. • Apply and enhance the use of the software toolbox in selected protected areas to improve evidence-based environmental policy making and management decisions, linking with WP11. • Make all information and knowledge produced in WP7 available to WP10 (GEOSS virtual library) and WP12 (capacity building).

Leading questions:
How can Earth Observation data be used to improve the mapping of ES services? . High resolution spectral images in combination with LiDAR data can be used to assess variables (land cover type, vegetation height, surface roughness, LAI.) which serve as inputs for spatially explicit ES models. . EO data can substitute some in-situ observations (land cover, species composition, tree height.) and therefore be utilised also for areas where in-situ data is scarce and/or reduce the costs of monitoring. . The use of EO data will reduce uncertainties compared to previous modelling approaches. How does scale affect the assessment of ES, and the trade-offs and synergies between different types of services? . Scale effect more pronounced for locally relevant ES (e.g. avalanche protection) than global-scale ES (carbon sequestration). . Small scale structures (as recognized from high-resolution data) can significantly change the assessment of habitat/biodiversity and avalanche protection services. . Similar trade-offs between ES can be observed across scales. What is the effect of conservation measures (PA) ES provision and demand? . Capacity for ES provision similar. . Difference in demand (e.g. avalanche protection less important in SNP, biodiversity more important) leading to differences in the relative importance of ES.


Last update: 12/12/19
Source of data: ProClim- Research InfoSystem (1993-2020)
Update the data of project: CH-6238

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