On October 16, at the REDD+ Day of CBD COP 11 in Hyderabad, the UN-REDD programme launched a policy brief focusing on multiple benefits and safeguards under REDD+. The paper elaborated on the use of tools and data to support decisions, and presented examples from implementation in REDD+ countries.
REDD+ is increasingly considered to have the potential to contribute to a range of policy goals in addition to climate change mitigation in the forestry sector. It is also recognized that there are social and environmental risks that may arise as the REDD+ mechanism is being implemented.
What has been less widely acknowledged is that avoiding significant risks and securing additional benefits from REDD+ could be the key to the overall success of the mechanism. By securing benefits beyond carbon, REDD+ can draw support from broader social and political constituencies; demonstrate that it enables a wider range of values to be realized; and generates sustainable income sources.
For governments and other stakeholders to adopt a broader approach to REDD+, a strong evidence base is needed to demonstrate that additional benefits will indeed be achieved, and contributions to national and local priorities accomplished. The Policy Brief outlines a series of analytical approaches that can help provide an evidence base to inform REDD+ decisions. It focuses on addressing environmental risks and benefits, and provides examples from Panama, Nigeria, DRC and Indonesia of where these approaches are already used.
The policy brief was drafted collaboratively with UNEP by UNEP-WCMC as part of their work for the UN-REDD Programme.
Resource Type: Tools / ApplicationsUNEP-WCMC, with the financial support of the UN-REDD programme, wrote a paper on biodiversity monitoring for REDD+ published in the journal "Current Opinion in Environmental Sustainability" as part of ongoing work on REDD+ safeguards. The paper observes the following three challenge to biodiversity monitoring for REDD: choosing which aspects of biodiversity to monitor, the difficulty of attributing particular changes to REDD+ and the likely scarcity of resources for biodiversity monitoring. It proposes three responses which may address these challenges: 1) agreed policy targets that identify what should be monitored; 2) making links to existing biodiversity monitoring and to monitoring to estimate GHG emissions and removals; and 3) developing clear theories of change to assist in determining which changes in biodiversity can be attributed to REDD+. The paper is available on the journal website here.
Resource Type: Tools / ApplicationsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
This dataset shows the location of tropical montane cloud forest sites as recorded in a worldwide inventory compiled by UNEP-WCMC and published in "A Global Directory of Tropical Montane Cloud Forests", Aldrich et al., 1997. This inventory was compiled from literature searches and correspondence with regional experts, and contains a total of 529 sites. The central location for each site is recorded but does not identify the great variability in their size, which ranges from 50 hectares to hundreds of square kilometres.
Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
The coral reefs dataset has been compiled by UNEP-WCMC to show the global distribution of warm water coral reefs. This dataset has been created from multiple sources and was used in the creation of the World Atlas of Coral Reefs (2001). This polygon feature dataset is an update of the data used in the Atlas but is based on a 1km raster version of the dataset to enable distribution of the data. This is due to restrictions placed by some data sources and suppliers.
Resource Type: Spatial Data / MapsThis report for WWF and IUCN shows how GIS can be used to prioritise areas for forest restoration. Candidate social and ecological criteria are identified at a regional level. The Mediterranean region is used as a case study
Resource Type: Tools / ApplicationsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
This dataset was created show the original habitat types as they were before man's influence in the Indo-Malayan realm; change over time can be seen when used alongside the remaining natural habitats dataset. These datasets were produced alongside the publication "Protected Areas Systems Review of the Indo-Malayan Realm, Mackinnon, J. ed. 1997" in collaboration with The Asian Bureau for Conservation (ABC). This was produced to document the growth and changing character of the protected areas systems of the region over the ten year period 1986-1996. This was in the hope of aiding conservationists and development practioners to conserve Asia's rich biological resources upon which so many depend.
Resource Type: Spatial Data / MapsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
This dataset was derived from a variety of sources to provide a dataset of the remaining natural habitats of the Indo-Malayan Realm at around the year 1990; change over time can be seen when used alongside the original natural habitats dataset. It was produced alongside the publication "Protected Areas Systems Review of the Indo-Malayan Realm, Mackinnon, J. ed. 1997" in collaboration with The Asian Bureau for Conservation (ABC). This was produced to document the growth and changing character of the protected areas systems of the region over the ten year period 1986-1996. This was in the hope of aiding conservationists and development practioners to conserve Asia's rich biological resources upon which so many depend.
Resource Type: Spatial Data / MapsDatasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
Global Generalised 'Original' Forest: This dataset, compiled from various sources at UNEP-WCMC, shows the original extent of global forest cover before human impact. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This dataset can be used with the dataset showing current forest cover to identify broad change.
Global Generalised 'Current' Forest: This dataset, compiled from various sources at UNEP-WCMC, shows the current (1998) extent of global forest cover. It is divided into needle-leaf forest (NF), non-forest (NON), temperate, broadleaf and mixed forest (TBMF), tropical dry forest (TDF) and tropical moist forest (TMF). This general dataset of global forest cover was produced from a series of regional datasets containing more detailed information of the forest cover. This dataset can be used with the dataset showing original forest cover to identify broad change.
Datasets Available from UNEP-WCMC: Excluding WDPA
Access to UNEP-WCMC datasets is provided on the understanding that you read and consent to be bound by the Terms and Conditions attached. For the purposes of this Agreement the “Data” comprise any of the spatial data and associated attribute data downloadable from the UNEP-WCMC website, excluding the World Database on Protected Areas.
To provide a global context for a discussion of mountain forests, it is first necessary to define the locations and types of mountain forests, and this in turn requires a definition of mountains or mountain areas. Altitude and slope and the environmental gradients they generate are key components of such a definition, but their combination is problematic. Simple altitude thresholds both exclude older and lower mountain systems and include areas of relatively high elevation that have little topographic relief and few environmental gradients. Using slope as a criterion on its own or in combination with altitude can resolve the latter problem, but not the former. As a first step to evaluating global mountain forest resources and the threats to them, UNEP-WCMC (in collaboration with the Environmental Change Institute and kindly supported by the Swiss Agency for Development and Co-operation - SDC) in 2000 made a first attempt to map the mountain forests of the world.
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