Plant diversity accurately predicts insect diversity in two tropical landscapes | |
Zhang, Kai1,2; Lin, Siliang3; Ji, Yinqiu1; Yang, Chenxue1; Wang, Xiaoyang1,2; Yang, Chunyan1; Wang, Hesheng3,4; Jiang, Haisheng; Harrison, Rhett D.5,6,8; Yu, Douglas W.1,7 | |
2016-09-01 | |
发表期刊 | MOLECULAR ECOLOGY |
卷号 | 25期号:17页码:4407-4419 |
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. |
关键词 | Arthropoda Biodiversity Biomonitoring Host Specificity Insect-plant Interactions Surrogate Species |
DOI | 10.1111/mec.13770 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000383343800021 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.kib.ac.cn/handle/151853/33591 |
专题 | 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. |
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