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Xinchuang Wang Guofan Shao Hua Chen Bernard J. Lewis Guang Qi Dapao Yu Li Zhou Limin Dai 《Environmental management》2013,52(3):612-620
Monitoring the dynamics of forest biomass at various spatial scales is important for better understanding the terrestrial carbon cycle as well as improving the effectiveness of forest policies and forest management activities. In this article, field data and Landsat image data acquired in 1999 and 2007 were utilized to quantify spatiotemporal changes of forest biomass for Dongsheng Forestry Farm in Changbai Mountain region of northeastern China. We found that Landsat TM band 4 and Difference Vegetation Index with a 3 × 3 window size were the best predictors associated with forest biomass estimations in the study area. The inverse regression model with Landsat TM band 4 predictor was found to be the best model. The total forest biomass in the study area decreased slightly from 2.77 × 106 Mg in 1999 to 2.73 × 106 Mg in 2007, which agreed closely with field-based model estimates. The area of forested land increased from 17.9 × 103 ha in 1999 to 18.1 × 103 ha in 2007. The stabilization of forest biomass and the slight increase of forested land occurred in the period following implementations of national forest policies in China in 1999. The pattern of changes in both forest biomass and biomass density was altered due to different management regimes adopted in light of those policies. This study reveals the usefulness of the remote sensing-based approach for detecting and monitoring quantitative changes in forest biomass at a landscape scale. 相似文献
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Fuller RM Devereux BJ Gillings S Hill RA Amable GS 《Journal of environmental management》2007,84(4):586-605
This paper develops a comprehensive and objective picture of bird distributions relative to habitats across Britain. Bird species presence/absence data from an extensive field survey and habitat data from the remotely sensed UK Land Cover Map 2000 were analysed in 36,920 tetrads (2 kmx2 km) across Britain (a 65% sample of Britain's c. 240,000 km2). Cluster analysis linked birds to generalised landscapes based on distinctive habitat assemblages. Maps of the clusters showed strong regional patterns associated with the habitat assemblages. Cluster centroid coordinates for each bird species and each habitat were combined across clusters to derive individualised bird-habitat preference indices and examine the importance of individual habitats for each bird species. Even rare species and scarce habitats showed successful linkages. Results were assessed against published accounts of bird-habitat relations. Objective corroboration strongly supported the associations. Relatively scarce coastal and wetland habitats proved particularly important for many birds. However, extensive arable farmland and woodland habitats were also favoured by many species, despite reported declines in bird numbers in these habitats. The fact that habitat-specialists do not or cannot move habitat is perhaps a reason for declining numbers where habitats have become unsuitable. This study showed that there are unifying principles determining bird-habitat relations which apply and can be quantified at the national scale, and which corroborate and complement the cumulative knowledge of many and varied surveys and ecological studies. This 'generality' suggests that we may be able, reliably and objectively, to integrate and scale up such disparate studies to the national scale, using this generalised framework. It also suggests the potential for a landscape ecology approach to bird-habitat analyses. Such developments will be important steps in building models to develop and test the sustainable management of landscapes for birds. 相似文献
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This study sought to examine the utility of termites to rural households in depressed regions of Bikita, Zimbabwe. Colonialism and its spread of European culture had viewed entomophagy with contempt resulting in reduced utilization and consumption of termites in most colonies. In our quest to understand how people in depressed regions utilized termites, both quantitative and qualitative methodologies were employed. Questionnaires and in-depth interviews were used to gather data during field work. Purposive and snowball sampling techniques were used in recruiting respondents. Excel and content analysis were used in data presentation and analysis. Results revealed that dampwood and drywood termites are climatic indicators for the rural communal farmers, a low-cost technology in weather forecasting. Subterrain and mold builders provide manure, relish, and are medicinal in nature. They are traded for income generation, and as for the poor, harvesting, processing, storage, and marketing is cost effective. Though considered nostalgic foods, most respondents highlighted that selling termites complimented other off-farm livelihood activities. Termite consumption and utilization provide a sustainable way for livelihood diversification in depressed regions and has partly addressed problems of food insecurity. 相似文献