UNEP-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.
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. The mountains dataset shows the location of mountain land estimated from a digital elevation model using criteria based on elevation alone (the upper three classes: > 2 500 metres) and at lower elevation, on a combination of elevation, slope and local elevation range. This is an update of the Mountain's of the World 2000 and was produced for the UNEP-WCMC publication Mountain Watch, 2002.
The mountains dataset has been overlayed with a global data set on percent tree cover taken from MODIS 1-km resolution percent tree cover data, courtesy of University of Maryland Global Land Cover Facility. Species richness, density and forest height tend to reduce with increasing altitude; the boundary between forest vegetation and more open ground cover at higher elevation 'the treeline' is an ecological marker signifying the transition to more extreme climatic conditions.
Resource Type: Spatial Data / MapsThe BIP has worked as part of the Cambridge Conservation Initiative (CCI) project to show the feasibility of establishing linkages between different types of indicators to provide decision-makers with the tools they need to tackle biodiversity loss effectively. The most recent output is an article in the journal Orynx.
Resource Type: Tools / ApplicationsThe Critical Site Network (CSN) Tool is a new online resource for the conservation of 294 species of waterbirds and the important sites upon which they depend in Africa and Western Eurasia. Leading global conservation organisations working for the protection of waterbirds and their habitats have joined forces to develop this tool, strengthening the implementation of the African-Eurasian Migratory Waterbird Agreement (AEWA) and the Ramsar Convention on Wetlands.
Resource Type: Tools / ApplicationsDiseases affecting coral reefs have increased in frequency and severity in recent decades. These diseases combine with existing human induced impacts on coral reefs to compromise their health and sustainability. Up to date information on the global abundance and distribution of diseases is critical in order to predict these impacts, to understand how current reef management practices and human impacts affect the spread and severity of diseases, and to inform policy and management decision making.
Resource Type: Tools / ApplicationsA number of Multilateral Environmental Agreements (MEAs) have created mechanisms for, or host information on websites relating to, increasing synergies and cooperation between MEAs. This section provides links to more information on these mechanisms.
Resource Type: Tools / ApplicationsUNEP-WCMC provides access to data, information documents and analytical tools relevant to the CITES community and other biodiversity related Conventions.
Resource Type: Tools / Applications One third of the world’s population lives in coastal areas and rapid development of these areas has meant increased construction of coastal infrastruc- ture (e.g. ports, navigation channels, coastal de- fence) and related activities (e.g. land reclamation, beach nourishment), which has inevitably led to conflicting priorities between coral reef conservation and economic growth. The key impacts of these ac- tivities, if not managed, include:
• Direct loss of coral reef caused by the removal or burial of reefs
• Lethal or sub-lethal stress to corals caused by elevated turbidity and sedimentation rates
Dredging and port construction activities potentially affect not only the site itself, but also surrounding ar- eas, through a large number of impact vectors (e.g. turbid plumes, sedimentation, release of contami- nants, bathymetric changes). Effects may be imme- diate or develop over a longer timeframe and may be temporary or permanent in nature, depending on a large number of factors.
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 was prepared by IUCN as a contribution to the UNESCO MAB Programme.
The main purpose of the work was to devise a satisfactory classification of the world's biotic areas for purposes of conservation. It is the fourth attempt in a series of revisions, updating the previous three works written by Dasmann.
The logic behind the system was that the plant and animal world occurs within
the biosphere of the Earth in the form of an intertwined network of individuals,
populations and interacting systems. To be able to view them in a systematic way, the biologist may use the following approaches:
Taxonomic order, Ecological order, Phylogenetic order (origins and history).
Biogeographic order - grouping the above entities on a geographic basis.
To define geographic units for conservation purposes the following were considered:
(a) the distribution of species and (b) the distribution of ecosystem units. The
result was a system serving both aims, a hierarchical system of geographical areas which would give a framework for conserving species as well as ecologic areas.
These hierarchical Biogeographical entities were named Realms, Biomes and Provinces.
The first subdivision, the Realm, used the phylogenetic subdivisions of the world, unifying those for flora and fauna. It is a continent or sub-continent-sized area
with unifying features of geography and flora/fauna/vegetation. Eight Realms were distinguished. The second division is the Biome. These were not the same as the
major vegetation formations of the world (see UNESCO, 1973), but combine the features of a major vegetation type with climate. There are 14 of these. These
were largely based on the work of Dasmann. The third, most detailed, subdivision was the Province, delimited on a faunal, floral and ecological basis. There are
186 of these.
The Global Study into management effectiveness evaluation was conducted between late 2005 and 2007. In cooperation with many people across the world, we aimed to strengthen the management of protected areas by compiling the existing work on management effectiveness evaluation, reviewing methodologies, finding patterns and common themes in evaluation results, and investigating the most important factors leading to effective management. The project was supported by WWF International, the Nature Conservancy and the University of Queensland, and worked under the auspices of IUCN World Commission on Protected Areas.
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