FAO.org

The “Spatial Agent” App has been developed to take advantage of new capabilities to visualize this growing range of spatial and temporal development-related data on mobile platforms. The App demonstrates a simple but extremely powerful approach to visualize a range of public-domain spatial datasets through interactive maps and charts to allow for data visualization at different scales and ranges. The approach literally puts the globe in the users hands and allows one to access a burgeoning group of public-domain multi-sectoral datasets (including at global, regional, and national levels) being developed for use by various development-related institutions and governments across the world

This guide is designed to stimulate and provide a clear process for the use of maps in cross-sectoral collaborations to locate, design and monitor interventions in rural landscapes. The guide presents eight steps to guide key stakeholders through a spatially explicit landscape planning process aimed at integrating goals for agricultural production, biodiversity conservation and livelihood security. The steps form a repeating process of co-learning that reinforces shared goals and understanding. Along the way, information from each step informs other steps in the next round of the process.

This manual will aid trainers of sustainable land management (SLM) professionals to organize and conduct effective courses on monitoring and evaluation (M&E) from an integrated landscape management perspective. The manual provides a curriculum for building the capacities of SLM project and program managers, as well as M&E specialists, to practice M&E in ways that support a landscape approach to SLWM. It presents a sequence of learning activities that enable trainers to introduce concepts and practices that build leadership for monitoring and evaluating SLM initiatives which stand to impact agricultural productivity, ecological conservation and livelihood security as well as institutional strengthening outcomes. Through training courses built around the curriculum, SLM leaders will gain insight into designing and implementing M&E systems that help to bring about multiple desired impacts from SLM initiatives.

The LDSF is designed to provide a biophysical baseline at landscape level, and a monitoring and evaluation framework for assessing processes of land degradation and the effectiveness of rehabilitation measures (recovery) over time

The aim of this map and complementary tools was to provide a baseline that can be used for a variety of purposes including: 1)integrated interpretation of landscapes and indicate the position of transitions between areas with significantly different environmental conditions, conditions which are most likely to be important determinative factors for agricultural potential; 2) to predict potential distributions of indigenous plant species in the agricultural landscapes and predict possible genetic variation across distributional ranges; 3) to provide a user friendly extension tool for improving the potential options (both from indigenous and exotic species) available to farmers in their quest for improving livelihoods and income generation; 4) to provide baseline data that can be used in forecasts of land use and cover changes, e..g, due to climate change or demographic changes; 5) to provide a management tool for interpretation of historical, current, and future distribution of ecosystems and ecoregions; 6) to provide a tool for ecological restoration and protection of eco-systems.