Suppr超能文献

将统计和机械方法与生物和环境变量相结合,可以提高模型对未来气候变化和土地利用变化对澳大利亚蚊子传播媒介丰度、多样性和分布影响的预测能力。

Integrating statistical and mechanistic approaches with biotic and environmental variables improves model predictions of the impact of climate and land-use changes on future mosquito-vector abundance, diversity and distributions in Australia.

机构信息

Institute for Glycomics, Griffith University, Gold Coast Campus, Southport, QLD, 4215, Australia.

Environmental Futures Research Institute, Griffith School of Environment, Gold Coast campus, Griffith University, Gold Coast, QLD, 4222, Australia.

出版信息

Parasit Vectors. 2020 Sep 23;13(1):484. doi: 10.1186/s13071-020-04360-3.

Abstract

Changes to Australia's climate and land-use patterns could result in expanded spatial and temporal distributions of endemic mosquito vectors including Aedes and Culex species that transmit medically important arboviruses. Climate and land-use changes greatly influence the suitability of habitats for mosquitoes and their behaviors such as mating, feeding and oviposition. Changes in these behaviors in turn determine future species-specific mosquito diversity, distribution and abundance. In this review, we discuss climate and land-use change factors that influence shifts in mosquito distribution ranges. We also discuss the predictive and epidemiological merits of incorporating these factors into a novel integrated statistical (SSDM) and mechanistic species distribution modelling (MSDM) framework. One potentially significant merit of integrated modelling is an improvement in the future surveillance and control of medically relevant endemic mosquito vectors such as Aedes vigilax and Culex annulirostris, implicated in the transmission of many arboviruses such as Ross River virus and Barmah Forest virus, and exotic mosquito vectors such as Aedes aegypti and Aedes albopictus. We conducted a focused literature search to explore the merits of integrating SSDMs and MSDMs with biotic and environmental variables to better predict the future range of endemic mosquito vectors. We show that an integrated framework utilising both SSDMs and MSDMs can improve future mosquito-vector species distribution projections in Australia. We recommend consideration of climate and environmental change projections in the process of developing land-use plans as this directly impacts mosquito-vector distribution and larvae abundance. We also urge laboratory, field-based researchers and modellers to combine these modelling approaches. Having many different variations of integrated (SDM) modelling frameworks could help to enhance the management of endemic mosquitoes in Australia. Enhanced mosquito management measures could in turn lead to lower arbovirus spread and disease notification rates.

摘要

澳大利亚的气候和土地利用模式的变化可能导致地方性蚊虫传播媒介(包括埃及伊蚊和库蚊属物种)的时空分布范围扩大,这些媒介传播重要的医学虫媒病毒。气候和土地利用变化极大地影响了蚊子的栖息地适宜性及其交配、取食和产卵等行为。这些行为的变化反过来又决定了未来特定物种蚊子的多样性、分布和丰度。在这篇综述中,我们讨论了影响蚊子分布范围变化的气候和土地利用变化因素。我们还讨论了将这些因素纳入新型综合统计(SSDM)和机制物种分布模型(MSDM)框架的预测和流行病学优点。综合建模的一个潜在显著优点是改善对具有医学意义的地方性蚊虫媒介(如埃及伊蚊和库蚊环喙亚种)的未来监测和控制,这些媒介与许多虫媒病毒(如罗斯河病毒和巴尔马森林病毒)的传播有关,还与外来蚊虫媒介(如埃及伊蚊和白纹伊蚊)有关。我们进行了一次重点文献检索,以探讨将 SSDM 和 MSDM 与生物和环境变量相结合以更好地预测未来地方性蚊子媒介的范围的优点。我们表明,利用 SSDM 和 MSDM 的综合框架可以提高澳大利亚未来蚊子媒介物种分布预测的准确性。我们建议在制定土地利用计划的过程中考虑气候和环境变化预测,因为这直接影响蚊子媒介的分布和幼虫丰度。我们还敦促实验室、实地研究人员和建模者结合这些建模方法。有许多不同的综合(SDM)建模框架的变体可以帮助加强澳大利亚对地方性蚊子的管理。增强的蚊子管理措施反过来又可以降低虫媒病毒的传播和疾病报告率。

相似文献

4
Mapping the global potential distributions of two arboviral vectors Aedes aegypti and Ae. albopictus under changing climate.
PLoS One. 2018 Dec 31;13(12):e0210122. doi: 10.1371/journal.pone.0210122. eCollection 2018.
6
Mapping the abundance of endemic mosquito-borne diseases vectors in southern Quebec.
BMC Public Health. 2023 May 22;23(1):924. doi: 10.1186/s12889-023-15773-x.
7
Identification of the source of blood meals in mosquitoes collected from north-eastern Australia.
Parasit Vectors. 2019 May 3;12(1):198. doi: 10.1186/s13071-019-3455-2.
9
Development of a regional climate change model for and (Diptera: Culicidae) in Perth, Western Australia.
Bull Entomol Res. 2024 Feb;114(1):8-21. doi: 10.1017/S0007485323000561. Epub 2024 Jan 18.
10
An update on the mosquito fauna and mosquito-borne diseases distribution in Cameroon.
Parasit Vectors. 2021 Oct 11;14(1):527. doi: 10.1186/s13071-021-04950-9.

引用本文的文献

2
Arbovirus Transmission in Australia from 2002 to 2017.
Biology (Basel). 2024 Jul 15;13(7):524. doi: 10.3390/biology13070524.
4
Trends in mosquito species distribution modeling: insights for vector surveillance and disease control.
Parasit Vectors. 2023 Aug 28;16(1):302. doi: 10.1186/s13071-023-05912-z.
6
The patterns and driving forces of dengue invasions in China.
Infect Dis Poverty. 2023 Apr 21;12(1):42. doi: 10.1186/s40249-023-01093-0.
7
Estimating the Distribution of Japanese Encephalitis Vectors in Australia Using Ecological Niche Modelling.
Trop Med Infect Dis. 2022 Nov 22;7(12):393. doi: 10.3390/tropicalmed7120393.
8
Models of spatial analysis for vector-borne diseases studies: A systematic review.
Vet World. 2022 Aug;15(8):1975-1989. doi: 10.14202/vetworld.2022.1975-1989. Epub 2022 Aug 19.
9
Worldwide impacts of landscape anthropization on mosquito abundance and diversity: A meta-analysis.
Glob Chang Biol. 2022 Dec;28(23):6857-6871. doi: 10.1111/gcb.16406. Epub 2022 Sep 27.

本文引用的文献

1
Windborne long-distance migration of malaria mosquitoes in the Sahel.
Nature. 2019 Oct;574(7778):404-408. doi: 10.1038/s41586-019-1622-4. Epub 2019 Oct 2.
2
Mosquito Control and Coastal Development: How they Have Coexisted and Matured in Florida and Australia.
J Am Mosq Control Assoc. 2019 Jun;35(2):123-134. doi: 10.2987/18-6807.1.
5
Scaled deployment of to protect the community from dengue and other  transmitted arboviruses.
Gates Open Res. 2019 Aug 13;2:36. doi: 10.12688/gatesopenres.12844.3. eCollection 2018.
7
Confronting the Emerging Threat to Public Health in Northern Australia of Neglected Indigenous Arboviruses.
Trop Med Infect Dis. 2017 Oct 17;2(4):55. doi: 10.3390/tropicalmed2040055.
9
Keeping track of mosquitoes: a review of tools to track, record and analyse mosquito flight.
Parasit Vectors. 2018 Mar 2;11(1):123. doi: 10.1186/s13071-018-2735-6.
10
Mosquito-Borne Diseases: Advances in Modelling Climate-Change Impacts.
Trends Parasitol. 2018 Mar;34(3):227-245. doi: 10.1016/j.pt.2017.11.006. Epub 2017 Dec 8.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验