Literature DB >> 27474399

Plant diversity accurately predicts insect diversity in two tropical landscapes.

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.
© 2016 John Wiley & Sons Ltd.

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


  12 in total

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10.  Rapid Assessment of Cerambycid Beetle Biodiversity in a Tropical Rainforest in Yunnan Province, China, Using a Multicomponent Pheromone Lure.

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