This JNCC-commissioned report highlights biodiversity impacts of indirect land use change caused by biofuel production. Increased demand for biofuels to achieve renewable energy targets is putting pressure on biodiversity worldwide. The research highlights a new and so far little understood threat: the impact of indirect land use change on biodiversity.
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 regional dataset shows the distribution of mangroves and was compiled by UNEP-WCMC through processing of Landsat TM 5 and Landsat 7 ETM+ images dating predominantly from 1999-2001. These data were published in association with the UNEP-Regional Seas Programme in the report: "Mangroves of Western and Central Africa" written and compiled by Emily Corcoran, Corinna Ravilious and Mike Skuja. (June 2007).
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 GIS dataset for mangrove distributions was produced for the publication, World Atlas of Mangroves (2010) as joint initiatives of the International Tropical Timber Organization (ITTO), International Society for Mangrove Ecosystems (ISME), United Nations Environment Programme-World Conservation Monitoring Centre (UNEP-WCMC), United Nations Education, Scientific and Cultural Organization-Man and Biosphere (UNESCO-MAB), United Nations University-Institute for Water, Environment and Health (UNU-INWEH), The Nature Conservancy (TNC) and The Food and Agriculture Organization of the United Nations (FAO). Major funding was provided by ITTO through a Japanese Government project grant and the project was implemented by ISME.
Resource Type: Spatial Data / Maps
The 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 / ApplicationsHow do bioenergy policies relate to the REDD+ mechanism, is the subject of this new Bioenergy Issue Paper jointly authored by UNEP and UNEP-WCMC.
The potential contribution of bioenergy in reducing global emissions of greenhouse gases has been widely debated, both in terms of climate change mitigation potential and potential risk of increases in greenhouse gas emissions resulting from land use change. This has raised the question of how bioenergy policies relate to the REDD+ mechanism developed under the UNFCCC. This issue paper examines the complexity of this relationship and stresses the importance of ensuring policy coherence across the relevant sectors.
For a look at the UNEP Issue Paper Series, please visit:
http://www.unep.org/bioenergy/Issues/UNEPIssuePaperSeries/tabid/79387/Default.aspx
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.
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.
This dataset provides spatial representation for the 234 “Data Sheet Sites” in the Centres of Plant Diversity (Davis et al. 1994-1997). In addition to the 234 priority sites selected for Data Sheet Site treatment, the Centres of Plant Diversity volumes recognize a number of additional sites in the Regional Summaries, but these are not included here. Theoretically, based on spatial information provided for some non-Data Sheet Sites in the CPD volumes (or even just the name of the sites in many cases), it would be possible to map many non-Data Sheet Sites. However, it would be difficult to do so consistently, and, furthermore, only the Data Sheet Sites are based on actual criteria. Specifically, to qualify for “Data Sheet” treatment in the volumes, mainland sites must have >1000 vascular plants, of which at least 100 are endemic to the site or to the phytogeographical region in which the site occurs; island floras must contain at least 50 endemic species or at least 10% of the flora must be endemic.
Resource Type: Spatial Data / Maps
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 / 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 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 / Maps©2013 UNEP All rights reserved