Geography, not human impact, is the predominant predictor in a 150-year stable isotope fish record from the coastal United States.
Anthropogenic
Carbon
Estuaries
Fish
Machine learning
Nitrogen
Random forest
Stable isotope
United States
Journal
Ecological indicators
ISSN: 1470-160X
Titre abrégé: Ecol Indic
Pays: United States
ID NLM: 101174880
Informations de publication
Date de publication:
Apr 2020
Apr 2020
Historique:
entrez:
29
5
2020
pubmed:
29
5
2020
medline:
29
5
2020
Statut:
ppublish
Résumé
Since the 1940s, anthropogenic nitrogen (N) inputs have grown to dominate global N cycles, particularly in fluvial systems. Negative impacts of this enrichment on downstream estuaries are well documented. Efforts at N reductions are increasingly successful but evaluating ecosystem response trajectories is difficult because of a lack of knowledge of historic conditions. To document continental-scale coastal food web N-dynamics prior to large increases in human N-loads, we sampled 208 fish from an archival collection, taken from coastal waters across the continental U.S., with a median collection year of 1904. The archival fish were compared with 526 samples collected in 2015 from 126 estuaries also along the U.S. coastline. We used stable isotopes of N (δ
Identifiants
pubmed: 32461737
doi: 10.1016/j.ecolind.2019.106022
pmc: PMC7252527
mid: NIHMS1576049
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Intramural EPA
ID : EPA999999
Pays : United States
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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