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斑红蝽属四种红蝽的潜在分布和生态空间(半翅目:红蝽科)
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引用本文:朱耿平,王晓静,卜文俊,刘国卿.2012,斑红蝽属四种红蝽的潜在分布和生态空间(半翅目:红蝽科).Entomotaxonomia,34(2):192~200
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朱耿平,王晓静,卜文俊,刘国卿 南平大学生命科学学院昆虫研究所天津 300071 
中文摘要:人类对地球上多数物种及其这些物种分布的认识是明显不足的。在生物多样性热点区分布的物种,它们一般罕见于其分布区内,加速了它们灭绝的可能性。本研究运用生态位模型对斑红蝽属四种红蝽的潜在分布和生态空间进行了模拟,其中浑斑红蝽Physopelta robusta和显斑红蝽Physopelta slanbuschii全部分布于Indo-Myanmar和South Central China热点区,小斑红蝽Physopelta cincticollis和四斑红蝽Physopelta quadriguttata局部分布于Indo-Myanmar和South Central China热点区。研究显示该4种红蝽均可能分布于它们已知的分布区外,这些发现可为将来的采集调查提供参考。4种红蝽的生态空间显示具有重叠,其中显斑红蝽P. slanbuschii和浑斑红蝽P. robusta表现出对温度具有较大的耐受性,显斑红蝽P. slanbuschii和四斑红蝽P. quadriguttata对湿度具有较大的耐受性。本研究强调了生态学的思路在分类学研究中生物多样性保护中的应用,特别是对一些鲜为人知的地区特有物种。
中文关键词:异翅亚目  斑红蝽属  生态位模型  Indo-Myanmar热点区  South Central China热点区  昆虫保护
 
Potential distribution and ecological dimensions of four species in the genus Physopelta (Hemiptera: Largidae)
Abstract:Our knowledge of the identity and distribution of most species on earth is remarkably poor. Species in hotspots tend to be scarce within their range which increases their probability of extinction. In this study, we used ecological niche modeling (ENM) to estimate dimensions of realized niches of 4 species that are totally (Physopelta robusta St?l and Physopelta slanbuschii Fabricius) or partially (Physopelta cincticollis St?l and Physopelta quadriguttata Bergroth) distributed in the Indo-Myanmar and South Central China hotspot, and predicted additional sites where they might be found. Our findings suggest that the range of the 4 species could extend beyond their presently known distributions, which might be useful for future field surveys. Niche overlap was modeled between the 4 species, with P. slanbuschii and P. robusta showing more tolerance to temperature and P. quadriguttata and P. slanbuschii more tolerance to precipitation. This study presents one more case study which highlights the ecological approach for taxonomic study in biodiversity conservation, especially of poorly, little known, and localized endemic species.
keywords:Heteroptera  Physopelta  ecological niche modeling  Indo-Myanmar hotspot  South Central China hotspot  insect conservation
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