Ostfeld Richard S, Brunner Jesse L
Cary Institute of Ecosystem Studies, PO Box AB, Millbrook, NY 12545, USA
School of Biological Sciences, Washington State University, Pullman, WA 99164, USA.
Philos Trans R Soc Lond B Biol Sci. 2015 Apr 5;370(1665). doi: 10.1098/rstb.2014.0051.
The evidence that climate warming is changing the distribution of Ixodes ticks and the pathogens they transmit is reviewed and evaluated. The primary approaches are either phenomenological, which typically assume that climate alone limits current and future distributions, or mechanistic, asking which tick-demographic parameters are affected by specific abiotic conditions. Both approaches have promise but are severely limited when applied separately. For instance, phenomenological approaches (e.g. climate envelope models) often select abiotic variables arbitrarily and produce results that can be hard to interpret biologically. On the other hand, although laboratory studies demonstrate strict temperature and humidity thresholds for tick survival, these limits rarely apply to field situations. Similarly, no studies address the influence of abiotic conditions on more than a few life stages, transitions or demographic processes, preventing comprehensive assessments. Nevertheless, despite their divergent approaches, both mechanistic and phenomenological models suggest dramatic range expansions of Ixodes ticks and tick-borne disease as the climate warms. The predicted distributions, however, vary strongly with the models' assumptions, which are rarely tested against reasonable alternatives. These inconsistencies, limited data about key tick-demographic and climatic processes and only limited incorporation of non-climatic processes have weakened the application of this rich area of research to public health policy or actions. We urge further investigation of the influence of climate on vertebrate hosts and tick-borne pathogen dynamics. In addition, testing model assumptions and mechanisms in a range of natural contexts and comparing their relative importance as competing models in a rigorous statistical framework will significantly advance our understanding of how climate change will alter the distribution, dynamics and risk of tick-borne disease.
本文对气候变暖正在改变硬蜱及其传播病原体分布的证据进行了综述和评估。主要方法有现象学方法和机制学方法,前者通常假定仅气候因素限制了硬蜱当前和未来的分布,后者则探讨哪些蜱虫种群统计学参数受特定非生物条件影响。这两种方法都有前景,但单独应用时都有很大局限性。例如,现象学方法(如气候包络模型)常常随意选择非生物变量,得出的结果在生物学上难以解释。另一方面,虽然实验室研究表明硬蜱生存存在严格的温度和湿度阈值,但这些限制在野外情况中很少适用。同样,没有研究涉及非生物条件对超过少数几个生命阶段、转变或种群统计学过程的影响,无法进行全面评估。尽管如此,尽管机制学模型和现象学模型方法不同,但二者均表明随着气候变暖,硬蜱和蜱传疾病的分布范围将大幅扩展。然而,预测的分布情况因模型假设差异很大,而这些假设很少与合理的替代假设进行检验。这些不一致性、关于关键蜱虫种群统计学和气候过程的有限数据以及对非气候过程的有限纳入,削弱了这一丰富研究领域在公共卫生政策或行动中的应用。我们敦促进一步研究气候对脊椎动物宿主和蜱传病原体动态的影响。此外,在一系列自然环境中检验模型假设和机制,并在严格的统计框架内比较它们作为竞争模型的相对重要性,将显著推进我们对气候变化如何改变蜱传疾病的分布、动态和风险的理解。