Plant diversity accurately predicts insect diversity in two tropical landscapes

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	Plant diversity accurately predicts insect diversity in two tropical landscapes
	Zhang, Kai 1,2; Lin, Siliang 3; Ji, Yinqiu 1; Yang, Chenxue 1; Wang, Xiaoyang 1,2; Yang, Chunyan 1; Wang, Hesheng 3,4; Jiang, Haisheng ; Harrison, Rhett D.5,6,8; Yu, Douglas W.1,7
刊名	MOLECULAR ECOLOGY
	2016-09-01
卷号	25 期号:17 页码:4407-4419
关键词	Arthropoda biodiversity biomonitoring host specificity insect-plant interactions surrogate species
英文摘要	Plant diversity surely determines arthropod diversity, but only moderate correlations between arthropod and plant species richness had been observed until Basset et al. (Science, 338, 2012 and 1481) finally undertook an unprecedentedly comprehensive sampling of a tropical forest and demonstrated that plant species richness could indeed accurately predict arthropod species richness. We now require a high-throughput pipeline to operationalize this result so that we can (i) test competing explanations for tropical arthropod megadiversity, (ii) improve estimates of global eukaryotic species diversity, and (iii) use plant and arthropod communities as efficient proxies for each other, thus improving the efficiency of conservation planning and of detecting forest degradation and recovery. We therefore applied metabarcoding to Malaise-trap samples across two tropical landscapes in China. We demonstrate that plant species richness can accurately predict arthropod (mostly insect) species richness and that plant and insect community compositions are highly correlated, even in landscapes that are large, heterogeneous and anthropogenically modified. Finally, we review how metabarcoding makes feasible highly replicated tests of the major competing explanations for tropical megadiversity.
类目[WOS]	Biochemistry & Molecular Biology ; Ecology ; Evolutionary Biology
研究领域[WOS]	Biochemistry & Molecular Biology ; Environmental Sciences & Ecology ; Evolutionary Biology
关键词[WOS]	SPECIES RICHNESS ESTIMATORS ; BIODIVERSITY ASSESSMENT ; HERBIVOROUS INSECTS ; HOST-SPECIFICITY ; MAXIMUM-LIKELIHOOD ; BETA DIVERSITY ; FOREST ; PERFORMANCE ; SEQUENCES ; DNA
收录类别	SCI
语种	英语
WOS记录号	WOS:000383343800021
内容类型	期刊论文
源URL	[http://ir.kib.ac.cn/handle/151853/33591]
专题	昆明植物研究所_资源植物与生物技术所级重点实验室
作者单位	1.Chinese Acad Sci, Kunming Inst Zool, State Key Lab Genet Resources & Evolut, Kunming 650223, Peoples R China 2.Univ Chinese Acad Sci, Kunming Coll Life Sci, Kunming 650204, Peoples R China 3.South China Normal Univ, Sch Life Sci, Guangzhou 510631, Guangdong, Peoples R China 4.Hainan Yinggeling Natl Nat Reserve, Baisha 572800, Peoples R China 5.East & Cent Asia Reg Off, World Agroforestry Ctr, Kunming 650201, Peoples R China 6.Chinese Acad Sci, Kunming Inst Bot, Ctr Mt Ecosyst Studies CMES, Kunming 650201, Peoples R China 7.Univ East Anglia, Sch Biol Sci, Norwich Res Pk, Norwich NR4 7TJ, Norfolk, England 8.East & Southern Africa Reg, World Agroforestry Ctr, 13 Elm Rd, Lusaka, Zambia
推荐引用方式 GB/T 7714	Zhang, Kai,Lin, Siliang,Ji, Yinqiu,et al. Plant diversity accurately predicts insect diversity in two tropical landscapes[J]. MOLECULAR ECOLOGY,2016,25(17):4407-4419.
APA	Zhang, Kai.,Lin, Siliang.,Ji, Yinqiu.,Yang, Chenxue.,Wang, Xiaoyang.,...&Yu, Douglas W..(2016).Plant diversity accurately predicts insect diversity in two tropical landscapes.MOLECULAR ECOLOGY,25(17),4407-4419.
MLA	Zhang, Kai,et al."Plant diversity accurately predicts insect diversity in two tropical landscapes".MOLECULAR ECOLOGY 25.17(2016):4407-4419.