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.
This report presents comprehensive and up-to-date information and data on marine cold-water coral reefs from around the world. Cold Water Coral Reefs: Out of Sight - No Longer Out of Mind aims to provide policy makers with the information required to take concerted action in the conservation, protection and sustainable management of these beautiful, largely unexplored and fragile coral reefs.
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 seagrass dataset has been compiled by UNEP-WCMC in collaboration with Dr Frederick T. Short, University of New Hampshire, USA to show the global distribution and biodiversity of seagrass species. This dataset has been created from multiple sources and was published in "The World Atlas of Seagrasses" (2003). It is derived from the range data for the individual species.
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 map is a simplified representation of the eight Biogeographical Realms of the world. This global map provides a useful general framework for conducting biogeographical or macroecological research. The realms are based originally on ecoregion delineations on hundreds of previous biogeographical studies, and refined and synthesized existing information in regional workshops over 10 years to assemble the global dataset. Ecoregions were then nested within two higher-order classifications to produce biomes (14) and biogeographic realms (8). Together, these nested classification levels provide a framework for comparison among units and the identification of representative habitats and species assemblages.
Resource Type: Spatial Data / MapsThis 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 / ApplicationsGlobal and regional coral reef area statistics are of considerable value in fields ranging from global environmental change to fisheries to conservation. Although widely quoted, Smith's 1978 figure of 600 000rkm2 is only an approximate calculation. The World Conservation Monitoring Centre has prepared a new estimate of reef coverage by mapping emergent reef crest and very shallow reef systems. These data were rasterised, using 1rkm grid squares, as a means of reducing errors arising from variation in scale. Global and regional reef coverages were calculated from the resultant grid. The total global area is estimated at 255 000rkm2, considerably lower than many previous estimates. Variation in reef area estimates is, in part, a function of variation in reef definition.
Resource Type: Journal PapersThe countries affected by the 2004 Asian tsunami contain the most diverse and extensive coral reefs and mangroves of the Indian Ocean, and some of the richest in the world. Not only are these ecosystems among the most threatened in the world, they also provide numerous essential ecosystem services.
It is thus not surprising that reefs and mangroves received widespread attention after the tsunami, with three principal questions posed: Are the tsunami's impacts on reefs and mangroves a further threat to their future survival? Did reefs and mangroves play a role in shoreline protection and reduce structural damage and human mortality? How could reconstruction efforts include actions to maintain these ecosystems and reduce further threats to them?
Resource Type: Journal PapersDatasets 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 / MapsTechnical report on the collection of geographic data, the regression analysis of explanatory factors of land use patterns, the development of a set of three alternative scenarios, and the modelling of land use changes using the CLUES model. This work was carried out as part of the ICRAN-MAR project's sub-result 1.2, "Trends in land use integrated with spatial, hydrological and oceanographic models for use in modelling".
Resource Type: ReportsDatasets 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 / Maps©2013 UNEP All rights reserved