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 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.
Based on the Wilderness Index developed by the Australian Heritage Commission (R. Lesslie, in litt., 30 May 1998). The wilderness value of any given point is essentially a measure of remoteness from human influence and is assessed on the basis of: remoteness from settlement (settled land or points of permanent occupation), from access (constructed vehicle access routes), and apparent naturalness (remoteness from permanent manmade structures) (Lesslie and Maslen, 1995). The analysis is carried out on a grid, using data from the Digital Chart of the World (DCW), and remoteness is measured as a distance from each grid point to the nearest feature of each class within a given radius (generally 30 km). Wilderness value is the sum of standardised values for each indicator class.
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.
Holdridge’s work aimed to correlate world plant formations with simple climatic data. The system embraces all major environmental factors in three hierarchical tiers.
Level I - The Life Zone. This is determined by specific quantitative ranges of long-term average annual precipitation, mean annual biotemperature and potential evapotranspiration ratio. These are modified for montane systems.
Level II - The "Association". This is an area of land which, under undisturbed conditions, supports a distinctive natural community adapted through evolution to a specific narrow range of atmospheric and edaphic conditions. No Association can occur in more than one Life Zone.
Level III - The successional stage or cover type, which takes into account that the community may not be in its climax state, either through natural causes or through human intervention.
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.
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.
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.
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 purpose of the work, which began in 1976, was to show how the national forests of the United States fit within the global ecoregional scheme. In this system an ecoregion is defined as any large portion of the Earth's surface over which the ecosystems have characteristics in common. There are three levels in this classification system, the Domains, the Divisions and the Provinces.
Ecoregions of the continents are based on macroclimate (i.e., the climate that lies just beyond the local modifying irregularities of landform and vegetation). The theory behind the approach is that macroclimates are among the most significant factors affecting the distribution of life on Earth. As the macroclimate changes, the other components of the ecosystem change in response. Macroclimates influence soil formation and help shape surface topography, as well as affecting the suitability for human habitation.
Four Domains were defined: Polar, Humid temperate, Humid tropical and Dry. The combination of temperature and rainfall to indicate major climatic zones was based on Köppen and Trewartha's work, where dry climates were treated as a separate entity from Tropical humid and Temperate humid. However, the Köppen system defines an addtional "Subtropical" division at this level.
The next level in the Bailey system is the Divisions, and these are also climate - based, for example in the Humid temperate Domain there is Hot continental, Warm continental, Subtropical, Marine, Prairie and Mediterranean, all with Mountain variants (i.e., a total of 12 Divisions in this Domain). There are a total of 30 of these.
The third and last level are the Provinces, which are based on physiognomy of vegetation, modified by climate. For example, the Forest-Meadow of Eastern Oceanic (Monsoon climate). There are a total of 98 of these subdivisions.
The global map has been digitised and converted to a geographic (lat/long) projection by the WCMC, Cambridge, UK. It is also available on CD from NOAAs National Geophysical Data Center in Boulder, Colorado as part of their Global Ecosystem Database Project. http://www.ngdc.noaa.gov/Store/.
Resource Type: Spatial Data / MapsOn 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.
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