Molecular Epidemiology and Public Health Laboratory (mEpiLab), Infectious Disease Research Centre, Hopkirk Research Institute, Massey University, Private Bag 11-222, Palmerston North, New Zealand
New Zealand Food Safety Science and Research Centre, Massey University, Palmerston North, New Zealand.
J R Soc Interface. 2018 Dec 5;15(149):20180403. doi: 10.1098/rsif.2018.0403.
The number of microbes on Earth may be 10, exceeding all other diversity. A small number of these can infect people and cause disease. The diversity of parasitic organisms likely correlates with the hosts they live in and the number mammal hosts for zoonotic infections increases with species richness among mammalian orders. Thus, while habitat loss and fragmentation may reduce species diversity, the habitat encroachment by people into species-rich areas may increase the exposure of people to novel infectious agents from wildlife. Here, we present a theoretical framework that exploits the species-area relationship to link the exposure of people to novel infections with habitat biodiversity. We model changes in human exposure to microbes through defined classes of habitat fragmentation and predict that increased habitat division intrinsically increases the hazard from microbes for all modelled biological systems. We apply our model to African tropical forests as an example. Our results suggest that it is possible to identify high-risk areas for the mitigation and surveillance of novel disease emergence and that mitigation measures may reduce this risk while conserving biodiversity.
地球上的微生物数量可能超过 10 亿,超过了所有其他生物多样性。其中一小部分可以感染人类并导致疾病。寄生生物的多样性可能与它们所生活的宿主有关,而人畜共患感染的哺乳动物宿主数量随着哺乳动物目之间的物种丰富度的增加而增加。因此,虽然栖息地丧失和破碎化可能会降低物种多样性,但人类对物种丰富地区的侵占可能会增加人们接触野生动物中新的传染性病原体的机会。在这里,我们提出了一个理论框架,利用物种-面积关系将人类接触新感染的情况与栖息地生物多样性联系起来。我们通过定义的栖息地破碎化类别来模拟人类接触微生物的变化,并预测增加的栖息地划分本质上会增加所有模拟生物系统中微生物的危害。我们以非洲热带森林为例应用我们的模型。我们的结果表明,有可能确定高风险地区,以减轻和监测新疾病的出现,并且减轻措施可以在保护生物多样性的同时降低这种风险。