center update the alliance...multifunctional landscapes lever •agrobiodiversity index (eu and...

Center Update

The Alliance

S. Castaño, K. de Sousa, D. Brown, J. Ramirez & S. Prager

Principal Scientist for Integrated Modelling

S.Prager@CGIAR.ORG

Amsterdam, 3 March 2020

Fuente: Leroy Mwanzia, Chief Data Officer

Thinking about a Spatial Data Infrastructure

The Alliance has fully embraced open access princples. This is paying off in terms of use of published data resources…

Some CIAT stats:

• 46 servers around the world

• > 6.000 Dataverses

• > 128.000 datasets

• > 570.000 indivudal files

• > 12.500 file downloads

dataverse.org/metrics

Why publish scientific data?It’s a clear way to increase visbility and impact of our work!

But why are these processes still so manual?

Link

http://gismap.ciat.cgiar.org:8080/geonetwork/srv/eng/catalog.search#/home

Bioversity Update

Multifunctional Landscapes Lever

• Agrobiodiversity Index (EU and Italian government funded): GIS used to calculate agrobiodiversity diversity metrics.

• Sarah Jones (s.jones@cgiar.org) and Natalia Estrada (n.e.carmona@cgiar.org)

• Food, Agriculture, Biodiversity, Land-use and Energy (FABLE) project (Norwegian government funded): GIS used to calculate share of protected land, intact natural land, and biodiversity-friendly cropland, per ecoregion per country around the world.

• Sarah Jones (s.jones@cgiar.org) and Fabrice DeClerck (f.declerck@cgiar.org)

mailto:s.jones@cgiar.orgmailto:n.e.carmona@cgiar.orgmailto:s.jones@cgiar.orgmailto:f.declerck@cgiar.org

APFORGIS: Establishing an Information System for conserving native tree species and their genetic resources in Asia-Pacific (2017-2019)

• Regional gap analysis on conservation status of 65 socio-economically important tree species

• Data sourcing, validation and regional priority setting with 40+ partners

• Web tool for setting spatial conservation and restoration priorities

• Capacity strengthening to help partners apply methods to other species (China Happy Ecology)

APFORGIS: Information System for 65 native tree species in Asia-Pacific (2017-2019)

- Species Distribution Modeling (SDM)

- Modeling of climate change and short-term threats

Contact: Riina Jalonen r.jalonen@cgiar.orgHannes Gaisberger h.gaisberger@cgiar.org

mailto:r.jalonen@cgiar.orgmailto:h.gaisberger@cgiar.org

Mapping tree species vulnerability to multiple threats as a guide to restoration and conservation of tropical dry forests

Study region: Tropical dry forests of northwestern Peru and southern Ecuador

Crop variety management for climate adaptation supported by citizen science

van Etten, J. et al. (2019). Crop variety management for climate adaptation supported by citizen science. Proceedings of the National Academy of Sciences, 116(10), 4194–4199. https://doi.org/10.1073/pnas.1813720116

Linking environmental data with farmers’ generated data

can improve variety recommendations in four aspects:

• reduction of climate bias

• incorporation of seasonal climate forecasts

• risk analysis• geographic extrapolation

https://doi.org/10.1073/pnas.1813720116

A suite of global accessibility indicators

Nelson, A. et al. (2019). A suite of global accessibility indicators. Scientific Data, 6(1), 266. https://doi.org/10.1038/s41597-019-0265-5

A suite of nine global travel-time accessibility indicators for the year 2015, at approximately one-kilometre spatial resolution, for a range of settlement size classes.

SERVIR-Amazonia

Partnerships

Methods

Technologies

Objectives

Objective 01

Establish a strong consortium to collaborate on geospatial information services in

four thematic areas

Objective 02

Build long-term networks and capacity to design and develop geospatial information

services

Objective 03

Support improved decision-making by the government and civil society through

dissemination and use of geospatial services and tools tailored to user’s needs

Service Areas

Service Development • Demand-driven• Community-driven• Co-development orientated

Enablers for Impact and Scaling

Geospatial Business Incubator

Academic Partner Network

Applied Science Team

Subject Matter Experts

Thank you!

Steven Prager

Principal Scientist for Integrated Modeling

S.Prager@CGIAR.ORG