Journal
MOLECULAR ECOLOGY
Volume 25, Issue 17, Pages 4407-4419Publisher
WILEY
DOI: 10.1111/mec.13770
Keywords
Arthropoda; biodiversity; biomonitoring; host specificity; insect-plant interactions; surrogate species
Funding
- GIZ/BMZ on behalf of the Government of the Federal Republic of Germany [08.7860.3-001.00, 13.1432.7-001.00]
- National Natural Science Foundation of China [31400470, 41661144002]
- Ministry of Science and Technology of China [2012FY110800]
- University of East Anglia and its GRACE computing cluster
- State Key Laboratory of Genetic Resources and Evolution at the Kunming Institute of Zoology [GREKF13-13, GREKF14-13, GREKF16-09]
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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.
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