气候变化与北美的利什曼病风险:媒介和储存物种生态位模型的预测。
Climate change and risk of leishmaniasis in north america: predictions from ecological niche models of vector and reservoir species.
机构信息
Laboratorio de Sistemas de Información Geográfica, Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de México, Coyoacán, México.
出版信息
PLoS Negl Trop Dis. 2010 Jan 19;4(1):e585. doi: 10.1371/journal.pntd.0000585.
BACKGROUND
Climate change is increasingly being implicated in species' range shifts throughout the world, including those of important vector and reservoir species for infectious diseases. In North America (México, United States, and Canada), leishmaniasis is a vector-borne disease that is autochthonous in México and Texas and has begun to expand its range northward. Further expansion to the north may be facilitated by climate change as more habitat becomes suitable for vector and reservoir species for leishmaniasis.
METHODS AND FINDINGS
The analysis began with the construction of ecological niche models using a maximum entropy algorithm for the distribution of two sand fly vector species (Lutzomyia anthophora and L. diabolica), three confirmed rodent reservoir species (Neotoma albigula, N. floridana, and N. micropus), and one potential rodent reservoir species (N. mexicana) for leishmaniasis in northern México and the United States. As input, these models used species' occurrence records with topographic and climatic parameters as explanatory variables. Models were tested for their ability to predict correctly both a specified fraction of occurrence points set aside for this purpose and occurrence points from an independently derived data set. These models were refined to obtain predicted species' geographical distributions under increasingly strict assumptions about the ability of a species to disperse to suitable habitat and to persist in it, as modulated by its ecological suitability. Models successful at predictions were fitted to the extreme A2 and relatively conservative B2 projected climate scenarios for 2020, 2050, and 2080 using publicly available interpolated climate data from the Third Intergovernmental Panel on Climate Change Assessment Report. Further analyses included estimation of the projected human population that could potentially be exposed to leishmaniasis in 2020, 2050, and 2080 under the A2 and B2 scenarios. All confirmed vector and reservoir species will see an expansion of their potential range towards the north. Thus, leishmaniasis has the potential to expand northwards from México and the southern United States. In the eastern United States its spread is predicted to be limited by the range of L. diabolica; further west, L. anthophora may play the same role. In the east it may even reach the southern boundary of Canada. The risk of spread is greater for the A2 scenario than for the B2 scenario. Even in the latter case, with restrictive (contiguous) models for dispersal of vector and reservoir species, and limiting vector and reservoir species occupancy to only the top 10% of their potential suitable habitat, the expected number of human individuals exposed to leishmaniasis by 2080 will at least double its present value.
CONCLUSIONS
These models predict that climate change will exacerbate the ecological risk of human exposure to leishmaniasis in areas outside its present range in the United States and, possibly, in parts of southern Canada. This prediction suggests the adoption of measures such as surveillance for leishmaniasis north of Texas as disease cases spread northwards. Potential vector and reservoir control strategies-besides direct intervention in disease cases-should also be further investigated.
背景
气候变化越来越被认为是世界各地物种分布范围变化的原因之一,包括传染病的重要媒介和储存物种。在北美(墨西哥、美国和加拿大),利什曼病是一种媒介传播的疾病,在墨西哥和德克萨斯州是地方性的,并且已经开始向北扩展。随着更多的栖息地适合利什曼病的媒介和储存物种,向北的进一步扩展可能会因气候变化而变得更加容易。
方法和发现
该分析首先使用最大熵算法为两种沙蝇媒介物种(Lutzomyia anthophora 和 L. diabolica)、三种已确认的啮齿动物储存物种(Neotoma albigula、N. floridana 和 N. micropus)和一种潜在的啮齿动物储存物种(N. mexicana)构建生态位模型,用于北部墨西哥和美国的利什曼病。作为输入,这些模型使用物种出现记录以及地形和气候参数作为解释变量。模型经过测试,以正确预测为此目的留出的特定部分出现点和来自独立派生数据集的出现点。这些模型经过改进,以获得在物种传播到适宜栖息地和在其中持续存在的能力越来越严格的假设下,预测物种的地理分布,这些假设由其生态适宜性调节。成功进行预测的模型被拟合到 A2 和相对保守的 B2 预测气候情景下,用于 2020 年、2050 年和 2080 年,使用来自第三次政府间气候变化专门委员会评估报告的公开可用插值气候数据。进一步的分析包括估计在 A2 和 B2 情景下,2020 年、2050 年和 2080 年可能有多少潜在人口接触利什曼病。所有已确认的媒介和储存物种的潜在范围都将向北扩展。因此,利什曼病有可能从墨西哥和美国南部向北扩展。在美国东部,其传播范围预计将受到 L. diabolica 范围的限制;再往西,L. anthophora 可能会起到同样的作用。在东部,它甚至可能到达加拿大的南部边界。A2 情景下的传播风险大于 B2 情景下的传播风险。即使在后一种情况下,对于媒介和储存物种的扩散采用限制(连续)模型,并且将媒介和储存物种的占有范围限制在其潜在适宜栖息地的前 10%,到 2080 年,接触利什曼病的人类个体数量预计将至少是目前的两倍。
结论
这些模型预测,气候变化将加剧美国以外地区人类接触利什曼病的生态风险,并且可能在加拿大南部的部分地区也会出现这种情况。这一预测表明,随着疾病病例向北传播,应在德克萨斯州以北地区采取监测利什曼病等措施。除了直接干预疾病病例外,还应进一步研究潜在的媒介和储存控制策略。