OBSERV
| Open Library of Pollinator Biodiversity and Ecosystem Services Scenarios | ||
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Biodiversity is now recognized as pivotal in maintaining ecosystem functions and providing ecosystem services with positive impacts for human well being. Paradoxically, biodiversity is also being lost at unprecedented rates due to rapid human-induced environmental changes. Scenarios predicting the future of biodiversity and its associated services are a powerful tool to inform conservation planning but several barriers have impeded their widespread and productive use so far. A key limitation is that there is little guidance and no formal cost-benefit analysis on the use of different modeling approaches.
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| Rather than aiming at finding one model that can be applied universally,
we need tools that allow us to select the right models for each situation while
taking into account model complexity and data requirements. Here we propose to
use the open source environment k.LAB to develop a user-friendly open library
of modeled scenarios in collaboration with stakeholders. We will focus on
pollinators and the pollination service they provide given their key
contributions to biodiversity maintenance and food security and their
threatened status globally. Our approach will take into account different
dimensions of biodiversity by capturing the responses of plant-pollinator
interactions, scaling up pollinator responses to the community level and
testing the transferability of umbrella species responses. Models will be
validated against empirical data using baseline data collected by our group and
by other researchers, as well as re-sampling of representative locations. By
using a participatory approach with relevant stakeholders from four different
countries we will assess the real utility of the developed models and
biodiversity scenarios for the end users, including performance across scales
and proper communication of uncertainty. The best models will be used to map pollination
services under different environmental scenarios ranging from global trends
extracted from IPCC and land use cover predictions to local potential
implementations of better management practices.
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Start date: 15-01-2019 |
End date: 14-01-2022 |
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Call: BiodivScen 2017 - PROYECTOS DE I+D+i DE PROGRAMACIÓN CONJUNTA INTERNACIONAL 2018 |
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Partners in OBSERV: |
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Dr. Ignasi Bartomeus, Estación Biológica de Doñana (EBD-CSIC) Dr. David Kleijn (Wageningen University) Dr. Rachael Winfree, Rutgers University Dr. Lucas A. Garibaldi (Instituto de Investigaciones en Recursos Naturales, Agroecología y Desarrollo Rural (IRNAD-UNRN))BC3 Basque Centre for Climate Change (BC3) |
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Key people involved in BC3: |
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