A wetland is an area of land whose soil is saturated with moisture either permanently or seasonally. Such areas may also be covered partially or completely by shallow pools of water. Wetlands include swamps, marshes, and bogs, among others. The water found in wetlands can be saltwater, freshwater, or brackish. The world's largest wetland is the Pantanal which straddles Brazil, Bolivia and Paraguay in South America.
Wetlands are considered the most biologically diverse of all ecosystems. Plant life found in wetlands includes mangrove, water lilies, cattails, sedges, tamarack, black spruce, cypress, gum, and many others. Animal life includes many different amphibians, reptiles, birds, insects, and mammals.
In many locations, such as the United Kingdom, Iraq, South Africa and the United States, wetlands are the subject of conservation efforts and Biodiversity Action Plans.
Wetlands also serve as natural wastewater purification systems—e.g., in Calcutta and Arcata.
The study of wetlands has recently been termed paludology in some publications.
Wetlands have also been described as ecotones, providing a transition between dry land and water bodies. Mitsch and Gosselink write that wetlands exist "...at the interface between truly terrestrial ecosystems and aquatic systems, making them inherently different from each other, yet highly dependent on both."
Through the building of dams, Wetlands International is halting the drainage of peatlands in Southeast Asia, thereby avoiding enormous CO2 emissions. Reforestation with native tree species as well as setting up community fire brigades are also part of an integral, very cost effective approach shown in Central Kalimantan and Sumatra, Indonesia. (from: www.wetlands.org)
There are many remote sensing methods that can be used to map wetlands. Remote-sensing technology permits the acquisition of timely digital data on a repetitive basis. This repeat coverage allows wetlands, as well as the adjacent land-cover and land-use types, to be monitored seasonally and/or annually. Using digital data provides a standardized data-collection procedure and an opportunity for data integration within a geographic information system. Traditionally, Landsat 5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM + ), and the SPOT 4 and 5 satellite systems have been used for this purpose. More recently, however, multispectral IKONOS and QuickBird data, with spatial resolutions of 4m by 4m and 2.44m by 2.44 m, respectively, have been shown to be excellent sources of data when mapping and monitoring smaller wetland habitats and vegetation communities.
A wide range of remote sensing studies has been undertaken in a variety of wetland environments. Remote sensing technology has permitted the acquisition of timely digital data on a repetitive basis. For example, the wetlands and vegetation within Detroit Lakes Wetland management District has been assessed using remote sensing. In mapping and monitoring large geographic areas, analysis of satellite images is less costly and time-consuming compared to visual interpretation of aerial photographs. Aerial photographs also require experienced interpreters to extract information based on structure and texture while remote sensing only requires the analysis of the spectral characteristics of data.
However, there are a number of limitations associated with image acquisition. Analysis of wetlands has proved difficult because to obtain the data, it has to be linked with practical purposes such as the analysis of land cover or land use. Wetlands, in particular are difficult to monitor, are often difficult to access, especially their inner reaches, and are sometimes home to dangerous wildlife and endemic diseases. Developing a global inventory of wetlands has proven to be a large and difficult undertaking. Current efforts are based on available data, but both classification and spatial resolution may be inadequate for regional or site-specific management decision-making. It is difficult to identify small, long, and narrow wetlands within the landscape. Current efforts using today’s remote sensing satellites may not have sufficient spatial and spectral resolution to monitor wetland conditions, although multispectral IKONOS and QuickBird data may offer improved spatial resolutions of 4m or higher. Majority of the pixels are just mixtures of several plant species or vegetation types and are difficult to isolate. Improved remote sensing information, coupled with good knowledge domain on wetlands will facilitate expanded efforts in wetland monitoring and mapping. This will also be extremely important because we expect to see major shifts in species composition due to both anthropogenic (land use) and natural changes in the environment caused by climate change. Methods to focus the classification on specific classes of interest so that identification can be done with very high accuracies should be looked into. The issue of the cost and expertise involved in remote sensing technology is still a factor hindering further advancements in image acquisition and data processing. Future improvements in wetland vegetation mapping could include the use of more recent and better geospatial data.
Category:Terrestrial biomes Category:Habitat (ecology) terminology Category:Environmental terminology Category:Aquatic ecology Category:Freshwater ecology
ar:منطقة رطبة bn:জলাভূমি be:Водна-балотныя ўгоддзі ca:Zona humida cs:Mokřad da:Vådområde de:Feuchtgebiet et:Märgala el:Υγροβιότοπος es:Humedal eo:Malsekejo fa:تالاب fr:Zone humide ko:습지 hi:आर्द्रभूमि hr:Vlažno područje id:Lahan basah it:Zona umida ka:ვეთლენდი ht:Tè makay lv:Mitrājs lt:Šlapynė hu:Vizenyős terület ml:തണ്ണീർത്തടം ms:Tanah lembap nl:Drasland ne:सिमसार ja:湿地 no:Våtmark pl:Mokradło pt:Zona úmida ru:Водно-болотные угодья sk:Mokraď (územie) sl:Mokrišče fi:Kosteikko sv:Våtmark th:พื้นที่ชุ่มน้ำ tr:Sulak alan uk:Водно-болотяні угіддя vi:Đất ngập nước zh-yue:濕地 zh:湿地This text is licensed under the Creative Commons CC-BY-SA License. This text was originally published on Wikipedia and was developed by the Wikipedia community.
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