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Developing Ecosystem Maps Using Eco-Geological Information for the Sustainable Management of Natural Resources 被引量:1
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作者 Mohammad Imam Hasan Reza Saiful Arif Abdullah 《Open Journal of Ecology》 2016年第6期343-357,共15页
Ecosystem maps are vital to represent ecological patterns and processes in a region. It enables the use of ecosystem goods and services as a robust unit for a variety of applications, including conservation planning, ... Ecosystem maps are vital to represent ecological patterns and processes in a region. It enables the use of ecosystem goods and services as a robust unit for a variety of applications, including conservation planning, climate change adaptation and mitigation measures, resource management, and the economic estimation of ecosystem benefits. As different elements of eco-geological components, such as the geological, soil, and biotic assemblages organize an ecosystem;here, we developed an ecosystem map of the State of Selangor, Peninsular Malaysia, using geology, soil, elevation, and land-use data. Landsat ETM+ images, ASTER Digital Elevation Model (DEM) data, and digitized soil and geological data were integrated to develop a map of the types of ecosystem for 2005. We found 19 different natural ecosystems in the studied region that represented approximately 35% of the total land area. Among the natural ecosystems, peat-swamp forest represents highest (at ~10%), while montane ericaceous forest representing the lowest (at ~0.008%) and the hill dipterocarp quartz forest, lowland dipterocarp sandstone forest, upper dipterocarp quartz forest, and mangrove forest are representing approximately 6.4%, 4.6%, 3% and 2.6% of the total land area respectively. These data can be used to prioritize the areas deserving attention due to their value for biodiversity conservation and for the production of goods and supply of ecosystem services. In addition to a variety of ecological and environmental aspects, such an ecosystem map has potential use for the sustainable management of natural resources at the national, regional, continental, and global scales. 展开更多
关键词 BIODIVERSITY Conservation Planning Ecosystem Management habitat classification Planning
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Soil quality index as a tool for Scots pine(Pinus sylvestris) monoculture conversion planning on afforested,reclaimed mine land
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作者 Marcin Pietrzykowski 《Journal of Forestry Research》 SCIE CAS CSCD 2014年第1期63-74,共12页
In Central Europe, a large portion of post-mining sites were afforested with Scots pine, which is characterized by good adaptability and a tolerance for poor habitat at the beginning of forest ecosystem development. C... In Central Europe, a large portion of post-mining sites were afforested with Scots pine, which is characterized by good adaptability and a tolerance for poor habitat at the beginning of forest ecosystem development. Conversion of monoculture on mine sites into more biodi- verse mixed hardwood forests, especially on more fertile deposits, can be an emerging need in this part of Europe in next decades. The ability to classify the forests at these post-mining sites will facilitate proper species selection as well as the management and formation of the developed ecosystem's stability. This work describes the guidelines that can be followed to assess reclaimed mine soil (RMS) quality, using the mine soil quality index (MSQI) and a classification of developed forest sites as a basis of tree-stand species selection and conversion of pine monocul- tures. The research was conducted on four post-mining facilities (lignite, hard coal, sulphur, and sand pit mining areas) on different RMS sub- strates dominant in Central Europe. Soil quality assessment takes into account the following features of the soil: texture soil nutrients (Ca, Mg, K, Na, P); acidity (pH KC1); and Corg-to-Nt ratio in the initial organic horizon. An analysis was conducted of classification systems using the MSQI validation correlation (at p =0.05) with vegetation features af- fected by succession: aboveground biomass of forest floor and ecological indicators of vascular plants (calculated on the basis of EUenberg's (2009) system). Eventually, in the analysed data set, the MSQI ranged from 0.270 for soils on quaternary sands to 0.720 for a mix of quaternary loamy sands with neogene clays. Potential forest habitat types and the role of the pine in the next generation of tree stands on different RMS parent rock substrate were proposed. 展开更多
关键词 mining sites AFFORESTATION pine monoculture conversion soil quality index forest habitat classification.
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