Cobble community DNA as a tool to monitor patterns of biodiversity within kelp forest ecosystems.

Cobble community DNA as a tool to monitor patterns of biodiversity within kelp forest ecosystems.

Shum, Peter;Barney, Bryan T;O'Leary, Jennifer K;Palumbi, Stephen R;
molecular ecology resources 2019
225
shum2019cobblemolecular

Abstract

Kelp forest ecosystems dominate 150,000 km of global temperate coastline, rivalling the coastal occurrence of coral reefs. Despite the astounding biological diversity and productive ecological communities associated with kelp forests, patterns of species richness and composition are difficult to monitor and compare. Crustose coralline algae are a critically important substrate for propagule settlement for a range of kelp forest species. Coralline-covered cobbles are home to hundreds of species of benthic animals and algae and form a replicable unit for ecological assays. Here, we use DNA metabarcoding of bulk DNA extracts sampled from cobbles to explore patterns of species diversity in kelp forests of the central California coast. The data from 97 cobbles within kelp forest ecosystems at three sites in Central California show the presence of 752 molecular operational taxonomic units (MOTUs) and 53 MOTUs assigned up to the species level with >95% similarity to current databases. We are able to detect spatial patterns of important management targets such as abalone recruits, and localized abundance of sea stars in 2012. Comparison of classic ecological surveys of these sites reveals large differences in species targets for these two approaches. In order to make such comparisons more quantitative, we use Presence/Absence Metabarcoding, using the fraction of replicate cobbles showing a species as a measure of its local abundance. This approach provides a fast and repeatable survey method that can be applied for biodiversity assessments across systems to shed light on the impact of different ecological disturbances and the role played by marine protected areas.

Citation

ID: 26487
Ref Key: shum2019cobblemolecular
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
26487
Unique Identifier:
10.1111/1755-0998.13067
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet