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木薯粉蚧(Phenacoccus manihoti)的潜在分布,这是对穷人粮食安全的一种威胁。

The potential distribution of cassava mealybug (Phenacoccus manihoti), a threat to food security for the poor.

作者信息

Yonow Tania, Kriticos Darren J, Ota Noboru

机构信息

HarvestChoice, InSTePP, University of Minnesota, St. Paul, MN, United States of America.

CSIRO, Canberra ACT, Australia.

出版信息

PLoS One. 2017 Mar 15;12(3):e0173265. doi: 10.1371/journal.pone.0173265. eCollection 2017.

DOI:10.1371/journal.pone.0173265
PMID:28296903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5351876/
Abstract

The cassava mealybug is a clear and present threat to the food security and livelihoods of some of the world's most impoverished citizens. Niche models, such as CLIMEX, are useful tools to indicate where and when such threats may extend, and can assist with planning for biosecurity and the management of pest invasions. They can also contribute to bioeconomic analyses that underpin the allocation of resources to alleviate poverty. Because species can invade and establish in areas with climates that are different from those that are found in their native range, it is essential to define robust range-limiting mechanisms in niche models. To avoid spurious results when applied to novel climates, it is necessary to employ cross-validation techniques spanning different knowledge domains (e.g., distribution data, experimental results, phenological observations). We build upon and update a CLIMEX niche model by Parsa et al. (PloS ONE 7: e47675), correcting inconsistent parameters and re-fitting it based on a careful examination of geographical distribution data and relevant literature. Further, we consider the role of irrigation, the known distribution of cassava production and a targeted review of satellite imagery to refine, validate and interpret our model and results. In so doing, we bring new insights into the potential spread of this invasive insect, enabling us to identify potential bio-security threats and biological control opportunities. The fit of the revised model is improved, particularly in relation to the wet and dry limits to establishment, and the parameter values are biologically plausible and accord with published scientific literature.

摘要

木薯粉蚧对世界上一些最贫困公民的粮食安全和生计构成了明显且当前存在的威胁。生态位模型,如CLIMEX,是指示此类威胁可能在何时何地扩散的有用工具,可协助生物安全规划和害虫入侵管理。它们还能为支撑资源分配以减轻贫困的生物经济分析做出贡献。由于物种能够在与其原生范围气候不同的地区入侵并定殖,因此在生态位模型中定义强大的范围限制机制至关重要。为避免应用于新气候时出现虚假结果,有必要采用跨越不同知识领域(如分布数据、实验结果、物候观测)的交叉验证技术。我们在Parsa等人(《公共科学图书馆·综合》7:e47675)构建的CLIMEX生态位模型基础上进行更新,纠正不一致的参数,并在仔细检查地理分布数据和相关文献的基础上重新拟合该模型。此外,我们考虑灌溉的作用、木薯已知的生产分布以及对卫星图像的针对性审查,以完善、验证和解释我们的模型及结果。通过这样做,我们对这种入侵昆虫的潜在扩散有了新的见解,使我们能够识别潜在的生物安全威胁和生物防治机会。修订后模型的拟合度得到了改善,特别是在定殖的干湿限度方面,参数值在生物学上是合理的,并且与已发表的科学文献一致。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/8b10458cd0bd/pone.0173265.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/1429c61599df/pone.0173265.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/294648e2a9c4/pone.0173265.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/d92827466538/pone.0173265.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/8b10458cd0bd/pone.0173265.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/1429c61599df/pone.0173265.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/294648e2a9c4/pone.0173265.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/d92827466538/pone.0173265.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19a8/5351876/8b10458cd0bd/pone.0173265.g004.jpg

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