Plant diversity accurately predicts insect diversity in two tropical landscapes
文献类型：期刊论文
| 作者 | Zhang K1,2; Lin SL3; Yang CY1,2; Wang HS1; Jiang HS3,4; Harrison RD[*]3; Yu DW[*]5,6; Ji YQ1,7; Yang CX1; Wang XY1 |
| 刊名 | MOLECULAR ECOLOGY
 |
| 出版日期 | 2016 |
| 卷号 | 25期号:17页码:4407-4419 |
| 关键词 | Arthropoda biomonitoring host specificity biodiversity insect-plant interactions surrogate species |
| 通讯作者 | dougwyu@gmail.com |
| 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. |
| 资助信息 | Funding for fieldwork in Mengsong was pro- vided by GIZ/BMZ (Project Nos. 08.7860.3-001.00, 13.1432.7- 001.00) on behalf of the Government of the Federal Republic of Germany. CYY and DWY were supported by the National Natu- ral Science Foundation of China (31400470, 41661144002), the Ministry of Science and Technology of China (2012FY110800), the University of East Anglia and its GRACE computing cluster, and the State Key Laboratory of Genetic Resources and Evolu- tion at the Kunming Institute of Zoology (GREKF13-13, GREKF14-13 and GREKF16-09). |
| 收录类别 | SCI |
| 语种 | 英语 |
| 源URL | [http://159.226.149.26:8080/handle/152453/10758]  |
| 专题 | 昆明动物研究所_动物生态学研究中心 昆明动物研究所_遗传资源与进化国家重点实验室 |
| 作者单位 | 1.State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China 2.Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, China 3.School of Life Sciences, South China Normal University, Guangzhou 510631, China 4.Hainan Yinggeling National Nature Reserve, Baisha 572800, China 5.World Agroforestry Center, East and Central Asia Regional Office, Kunming 650201, China 6.Center for Mountain Ecosystem Studies (CMES), Kunming Institute of Botany, Chinese Academy of Sciences, Kunming 650201, China 7.School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk NR47TJ, UK |
| 推荐引用方式 GB/T 7714 | Zhang K,Lin SL,Yang CY,et al. Plant diversity accurately predicts insect diversity in two tropical landscapes[J]. MOLECULAR ECOLOGY,2016,25(17):4407-4419. |
| APA | Zhang K.,Lin SL.,Yang CY.,Wang HS.,Jiang HS.,...&Wang XY.(2016).Plant diversity accurately predicts insect diversity in two tropical landscapes.MOLECULAR ECOLOGY,25(17),4407-4419. |
| MLA | Zhang K,et al."Plant diversity accurately predicts insect diversity in two tropical landscapes".MOLECULAR ECOLOGY 25.17(2016):4407-4419. |
入库方式： OAI收割
来源：昆明动物研究所
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