Ecological Monitoring and Health Research in Luambe National Park, Zambia: Generation of Baseline Data Layers.
Ecological Monitoring and Health Research in Luambe National Park, Zambia: Generation of Baseline Data Layers.
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DOI：
10.1007/s10393-016-1131-y
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发表时间：
2016-09
期刊：
影响因子：
2.5
通讯作者：
Welburn, Susan C.
中科院分区：
文献类型：
--
作者：
Anderson, Neil E.;Bessell, Paul R.;Mubanga, Joseph;Thomas, Robert;Eisler, Mark C.;Fevre, Eric M.;Welburn, Susan C.
关键词：
对自然环境进行分类、描述和了解是人类、动物和生态系统健康研究的一个重要内容，而世界偏远环境通常缺乏基线生态数据。人类非洲锥虫病是撒哈拉以南非洲人类福祉的重要制约因素，并从野生哺乳动物的水库社区发生溢出传播。在这里，我们使用强大的和可重复的方法来生成植被和哺乳动物密度的基线数据集，以调查在赞比亚偏远的Luambe国家公园的疣猪（Phacochoerus africanus）的生态，以进一步了解它们与采采蝇（Glossina spp.）的相互作用。锥虫病的媒介。模糊集理论是用来产生一个准确的土地覆盖分类，距离采样技术，以获得物种和栖息地水平的密度估计最丰富的野生哺乳动物。还估计了野猪洞穴的密度，并绘制了它们的空间分布图。生成的数据集提供了一个准确的基线，以进一步生态和流行病学的疾病系统，如锥虫病的理解。这项研究提供了一个可靠的框架，生态监测野生哺乳动物的密度和植被组成在偏远，相对难以接近的环境。
Classifying, describing and understanding the natural environment is an important element of studies of human, animal and ecosystem health, and baseline ecological data are commonly lacking in remote environments of the world. Human African trypanosomiasis is an important constraint on human well-being in sub-Saharan Africa, and spillover transmission occurs from the reservoir community of wild mammals. Here we use robust and repeatable methodology to generate baseline datasets on vegetation and mammal density to investigate the ecology of warthogs (Phacochoerus africanus) in the remote Luambe National Park in Zambia, in order to further our understanding of their interactions with tsetse (Glossina spp.) vectors of trypanosomiasis. Fuzzy set theory is used to produce an accurate landcover classification, and distance sampling techniques are applied to obtain species and habitat level density estimates for the most abundant wild mammals. The density of warthog burrows is also estimated and their spatial distribution mapped. The datasets generated provide an accurate baseline to further ecological and epidemiological understanding of disease systems such as trypanosomiasis. This study provides a reliable framework for ecological monitoring of wild mammal densities and vegetation composition in remote, relatively inaccessible environments.
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影响因子：
5.7
作者：
ASTLE, WL;WEBSTER, R;LAWRANCE, CJ
通讯作者：
LAWRANCE, CJ
影响因子：
1
作者：
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影响因子：
1.3
作者：
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通讯作者：
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影响因子：
3.8
作者：
Anderson NE;Mubanga J;Fevre EM;Picozzi K;Eisler MC;Thomas R;Welburn SC
通讯作者：
Welburn SC
影响因子：
1.9
作者：
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通讯作者：
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