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Genetic signatures of ecological diversity along an urbanization gradient.

Authors :
Kelly RP
O'Donnell JL
Lowell NC
Shelton AO
Samhouri JF
Hennessey SM
Feist BE
Williams GD
Source :
PeerJ [PeerJ] 2016 Sep 13; Vol. 4, pp. e2444. Date of Electronic Publication: 2016 Sep 13 (Print Publication: 2016).
Publication Year :
2016

Abstract

Despite decades of work in environmental science and ecology, estimating human influences on ecosystems remains challenging. This is partly due to complex chains of causation among ecosystem elements, exacerbated by the difficulty of collecting biological data at sufficient spatial, temporal, and taxonomic scales. Here, we demonstrate the utility of environmental DNA (eDNA) for quantifying associations between human land use and changes in an adjacent ecosystem. We analyze metazoan eDNA sequences from water sampled in nearshore marine eelgrass communities and assess the relationship between these ecological communities and the degree of urbanization in the surrounding watershed. Counter to conventional wisdom, we find strongly increasing richness and decreasing beta diversity with greater urbanization, and similar trends in the diversity of life histories with urbanization. We also find evidence that urbanization influences nearshore communities at local (hundreds of meters) rather than regional (tens of km) scales. Given that different survey methods sample different components of an ecosystem, we then discuss the advantages of eDNA-which we use here to detect hundreds of taxa simultaneously-as a complement to traditional ecological sampling, particularly in the context of broad ecological assessments where exhaustive manual sampling is impractical. Genetic data are a powerful means of uncovering human-ecosystem interactions that might otherwise remain hidden; nevertheless, no sampling method reveals the whole of a biological community.<br />Competing Interests: The authors declare there are no competing interests.

Details

Language :
English
ISSN :
2167-8359
Volume :
4
Database :
MEDLINE
Journal :
PeerJ
Publication Type :
Academic Journal
Accession number :
27672503
Full Text :
https://doi.org/10.7717/peerj.2444