| Literature DB >> 27474399 |
Kai Zhang1,2, Siliang Lin3, Yinqiu Ji1, Chenxue Yang1, Xiaoyang Wang1,2, Chunyan Yang1, Hesheng Wang4, Haisheng Jiang3, Rhett D Harrison5,6, Douglas W Yu1,7.
Abstract
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.Keywords: Arthropoda; biodiversity; biomonitoring; host specificity; insect-plant interactions; surrogate species
Mesh:
Year: 2016 PMID: 27474399 DOI: 10.1111/mec.13770
Source DB: PubMed Journal: Mol Ecol ISSN: 0962-1083 Impact factor: 6.185