Department of Geography and Center for Global Change and Earth Observations, Michigan State University, East Lansing, MI, USA.
Int J Health Geogr. 2009 Jun 29;8:39. doi: 10.1186/1476-072X-8-39.
Tsetse flies are the primary vector for African trypanosomiasis, a disease that affects both humans and livestock across the continent of Africa. In 1973 tsetse flies were estimated to inhabit 22% of Kenya; by 1996 that number had risen to roughly 34%. Efforts to control the disease were hampered by a lack of information and costs associated with the identification of infested areas. Given changing spatial and demographic factors, a model that can predict suitable tsetse fly habitat based on land cover and climate change is critical to efforts aimed at controlling the disease. In this paper we present a generalizable method, using a modified Mapcurves goodness of fit test, to evaluate the existing publicly available land cover products to determine which products perform the best at identifying suitable tsetse fly land cover.
For single date applications, Africover was determined to be the best land use land cover (LULC) product for tsetse modeling. However, for changing habitats, whether climatically or anthropogenically forced, the IGBP DISCover and MODIS type 1 products where determined to be most practical.
The method can be used to differentiate between various LULC products and be applied to any such research when there is a known relationship between a species and land cover.
采采蝇是非洲锥虫病的主要传播媒介,这种疾病在整个非洲大陆的人类和牲畜中都有发生。1973 年,估计有 22%的肯尼亚境内有采采蝇;到 1996 年,这一数字上升到了大约 34%。由于缺乏信息以及与疫区识别相关的成本,控制这种疾病的努力受到了阻碍。鉴于空间和人口统计因素的变化,一种能够根据土地覆盖和气候变化预测适合采采蝇栖息地的模型,对于旨在控制疾病的努力至关重要。在本文中,我们提出了一种可推广的方法,使用经过修改的 Mapcurves 拟合优度检验,来评估现有的公开可用的土地覆盖产品,以确定哪些产品在识别适合采采蝇的土地覆盖方面表现最好。
对于单日期应用, Africover 被确定为最适合采采蝇建模的土地利用土地覆盖(LULC)产品。然而,对于不断变化的栖息地,无论是气候驱动还是人为驱动,IGBP DISCover 和 MODIS 类型 1 产品被认为是最实用的。
该方法可用于区分各种 LULC 产品,并在已知物种与土地覆盖之间存在关系的情况下,应用于任何此类研究。