Peatlands are carbon-rich ecosystems that cover just three per cent of Earth's land surface, but store one-third of soil carbon. Peat soils are formed by the build-up of partially decomposed organic matter under waterlogged anoxic conditions. Most peat is found in cool climatic regions where unimpeded decomposition is slower, but deposits are also found under some tropical swamp forests. Here we present field measurements from one of the world's most extensive regions of swamp forest, the Cuvette Centrale depression in the central Congo Basin.
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Showing items 1 through 9 of 37.-
Library ResourceReports & ResearchJanuary, 2017Congo
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Library Resource
Kenya Case Study
Reports & ResearchDecember, 2021KenyaThe Decision on Land Tenure (Decision 26/ COP.14) by the United Nations Convention to Combat Desertification (UNCCD) recognises the importance of responsible land governance for sustainable land management and restoration, as well as for combatting desertification, land degradation and drought.
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Library ResourcePeer-reviewed publicationMarch, 2017Bangladesh
Land is one of the important input resources in a highly populous and land-scarce country such as Bangladesh. When different factors change (such as, geophysical, proximity, socioeconomic and climatic), there are dramatic changes in the spatial pattern of land uses. Thus, shedding light on the dynamics of land use and land cover changes has great importance for finding the changing pattern of land use in Bangladesh.
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Library ResourceJournal Articles & BooksDecember, 2018South Africa, Southern Africa
Although advances in remote sensing have enhanced mapping and monitoring of irrigated areas, producing accurate cropping information through satellite image classification remains elusive due to the complexity of landscapes, changes in reflectance of different land-covers, the remote sensing data selected, and image processing methods used, among others. This study extracted agricultural fields in the former homelands of Venda and Gazankulu in Limpopo Province, South Africa.
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Library ResourceJournal Articles & BooksApril, 2014Japan
Here we propose an accurate and robust method for large-area land-use and land-cover (LULC) mapping using multi-temporal optical data. The conventional method for LULC classification usually uses time-series data at regular intervals to consider the seasonality of LULC. However, high-resolution optical data have considerable seasonal biases, making it difficult to use time-series data.
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Library ResourcePolicy Papers & BriefsFebruary, 2018Global
The typical response to the loss of forest cover has been to plant trees, usually, but not always, on an industrial scale, and with a limited mix of species. Indeed, planted forests now make up 7 percent of the world’s forest area and contribute over 40 percent of the global industrial wood and fibre supply (FAO, 2010).
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Library ResourceReports & ResearchJanuary, 2018Africa
Sahelian Africa is significantly affected by rainfall variability. Its populations are among the poorest and most threatened by climatic changeability and land degradation, as they depend heavily on healthy ecosystems to sustain their livelihoods. Increasing pressures on food, fodder, and fuelwood have a significant impact on the environment; and frequent droughts and poorly managed land and water resources contribute to expanding soil erosion. The Great Green Wall for the Sahara and the Sahel Initiative emerged in 2007 to address climate change, land degradation, and desertification.
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Library ResourceReports & ResearchDecember, 2006Namibia
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Library ResourceReports & ResearchDecember, 2007
Project in collaboration with the Benguela Environment Fisheries Interaction & Training Programme (BENEFIT) for the Benguela current Large MArine Ecosystem (BCLME) Programme.
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Library ResourcePeer-reviewed publicationFebruary, 2019Brazil
In this study, methods, originally developed to assess life course trajectories, are explored in order to evaluate land change through the analysis of sequences of land use/cover. Annual land cover maps which describe land use/land cover change for the 1985–2017 period for a large region in Northeast Brazil were analyzed. The most frequent sequences, the entropy and the turbulence of the land trajectories, and the average time of permanence were computed. Clusters of similar sequences were determined using different dissimilarity measures.
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