Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Session
363N: Decision support systems for land degradation neutrality: How to make tools relevant at local scales?
Time:
Wednesday, 24/Apr/2019:
4:15pm - 5:45pm

Session Chair: Mariano Gonzalez-Roglich
Session Chair: Alex Ivan Zvoleff
Location: MB-205
Main Building, room 205, second floor, east wing, 90 seats
Session Topics:
How do we support transformation?

Session Abstract

Land degradation – the reduction or loss of the productive potential of land – is a global challenge. Over 20% of the Earth’s vegetated surface is degraded, affecting over 1.3 billion people, with an economic impact of up to US$10.6 trillion. Land degradation reduces agricultural productivity, increases the vulnerability of those areas already at risk of impacts from climate variability and change, and complicates efforts to accomplish the Sustainable Development Goals (SDGs). Achieving Land Degradation Neutrality (LDN) is essential to improve the livelihoods of those most affected, and to build resilience to safeguard against the most extreme effects of climate change. The key question decision-makers face now is: how do we support transformation? New methods and tools are continually being developed to support the implementation of on the ground actions in order to monitor their performance and to support the scaling of successful interventions. In this session, we will use an interactive Decision Theater to trigger a conversation on how different decision support systems can contribute to the achievement of land degradation neutrality. The Decision Theater, developed by Arizona State University in collaboration with Conservation International, uses a series of screens in a dynamic, immersive environment to allow attendees to explore the tradeoffs among land condition, nature conservation, and human well-being. The session will last 1.5 hours, combining a demonstration of the Decision Theater with a panel discussion involving experts from the United Nations Convention to Combat Desertification (UNCCD), the World Overview on Conservation Approaches and Technologies (WOCAT), the Commonwealth Scientific and Industrial Research Organisation from Australia (CSIRO), and the Food and Agriculture Organization (FAO) who will present their perspectives on how the earth observations and monitoring community can better support the implementation of restoration projects to support land degradation neutrality. Following the panel discussion, attendees will be able to experiment with the Decision Theater.

Structure: 10 min - Demo of the decision theater

25 min - 5 minute presentation by each panelist

25 min - Q&A and discussion

60 min - Decision Theater open to the audience

Abstract submissions are not being accepted for this innovative and immersive session.

Session Organizers: Mariano Gonzalez -Roglich and Alexander Zvoleff


Presentations
ID: 359 / 363N: 1
363N Decision support systems for land degradation neutrality: How to make tools relevant at local scales? (INVITED ABSTRACTS ONLY)

Can data quality standards contribute to the achievement of Land Degradation Neutrality?

Barron Joseph Orr1, Sasha Alexander1, Sara Minelli1, Antje Hecheltjen2

1United Nations Convention to Combat Desertification (UNCCD), Germany; 2Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), Germany

The concept of Earth observation data quality means different things to different people. Stakeholders working to achieve SDG Target 15.3 Land Degradation Neutrality (LDN) are particularly concerned about harmonization among data providers in thematic accuracy, which can be defined as the accuracy of quantitative attributes and the correctness of nonquantitative attributes and of the classifications of features and their relationships. Idenifying standards for LDN metrics for land cover change, land productivity dynamics and soil organic carbon stocks is a vital step which will support countries in their efforts to achieve or exceed no net loss by 2030.



ID: 274 / 363N: 2
363N Decision support systems for land degradation neutrality: How to make tools relevant at local scales? (INVITED ABSTRACTS ONLY)

Good Practice Guidance methods for SDG15.3.1 and LDN - collaborative development, and scale considerations

Neil Sims

CSIRO, Australia

In 2016 CSIRO Australia was tasked with developing Good Practice Guidance (GPG) methods and documents to calculate SDG 15.3.1: the proportion of degraded land over total land area. These methods also underpin the Land Degradation Neutrality framework. At the same time, Conservation International were developing the Trends.Earth portal, which is provided to countries to assist their calculation of SDG 15.3.1. This presentation will describe the benefits of the iterative and collabrative approach to concurrently developing the GPG and analysis tools. This presentation will discuss elements of the GPG related to dissagregating datasets to calculate degradation and report at multiple scales.



ID: 893 / 363N: 3
363N Decision support systems for land degradation neutrality: How to make tools relevant at local scales? (INVITED ABSTRACTS ONLY)

Linking geospatial data analysis to local knowledge in national land resources planning efforts – the Collect Earth tool

Marcelo Rezende, Thomas Hammond

FAO, Italy

Countries are frequently facing demands for accurate land monitoring data for numerous international processes. Internal country demands for data to support national priorities also exist, and navigating these numerous demands can pose problems for some countries. Collect Earth supports this by allowing advanced monitoring tasks in a way that does not require high levels of expertise, and combining spatial datasets with local knowledge. It is primarily a monitoring tool. By customizing the data collection form, sampling design, and plot size, users can easily configure Collect Earth to address specific monitoring purposes, such as landscape restoration, REDD+ reporting, or disaster assessments.



ID: 892 / 363N: 4
363N Decision support systems for land degradation neutrality: How to make tools relevant at local scales? (INVITED ABSTRACTS ONLY)

Linking local knowledge and achievements to LDN reporting and enabling evidence-based decision making at local and national level

Hanspeter Liniger, Renate Fleiner, Nicole Harari, Tatenda Lemann

CDE / University of Bern, Switzerland

Limitations of mapping land degradation (LD) and sustainable land management (SLM) and their impacts for reporting land degradation neutrality (LDN) solely based on remote sensing data and poor inclusion of local knowledge in the interpretation of LD and LDN indicators and results exist.

For better results of LDN and evidence-based decision making for further out-scaling of SLM, a toolbox facilitating the combination of local, landscape and national level assessment is presented. This toolbox includes (1) the WOCAT Database; (2) the Carbon Benefits tool; (3) Trends.Earth; (4) LADA-WOCAT mapping; (5) Global Geo-Informatics Options by; (6) a mobile phone app (Land PKS).



ID: 894 / 363N: 5
363N Decision support systems for land degradation neutrality: How to make tools relevant at local scales? (INVITED ABSTRACTS ONLY)

The global Land-Potential Knowledge System (LandPKS): a mobile app and cloud computing for land management, research and citizen science.

Jason Neff1, Jeffrey Herrick2

1University of Colorado, United States of America; 2U.S. Departement of Agriculture, Research Unit @TheJornada

LandPKS is an mobile application consisting of a growing suite of user-friendly input and output modules linked to global data, knowledge-bases and models. It is being developed to assist both land managers and scientists (a) to identify their soil and climate based on their location and a simple soil description (LandInfo module) and (b) to inventory (e.g. for remote sensing calibration) and monitor (e.g. crop residue and covercrop cover for soil health management and carbon sequestration estimates) basic soil and vegetation cover and composition data (LandCover module). LandPKS can be used in combination with decision support-tools and/or large scale networks.