Evidence map›Paper›PMID 32179969›Full record

ArticleEnvironmental management2020

Factors Controlling Calanoid Copepod Biomass and Distribution in the Upper San Francisco Estuary and Implications for Managing the Imperiled Delta Smelt (Hypomesus transpacificus).

Scott Hamilton, Steve Bartell, James Pierson, Dennis Murphy

Abstract read
In one paragraph

Article in Environmental management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Scott HamiltonCenter for California Water Resources Policy and Management, 1017 L Street, Sacramento, CA, 95814-3805, USA. Scott@ResourceEconomics.net.ORCID 0000-0002-1692-2814
Steve BartellHighwood, Inc, 7610 Morganton Road, Greenback, TN, 37742, USA.
James PiersonUniversity of Maryland, 2020 Horns Point Road, Cambridge, MD, 21613, USA.
Dennis MurphyGraduate Program in Ecology, Evolution and Conservation Biology, University of Nevada, Reno, NV, USA.

Funding

Center for California Water Resources Policy and Management N/A
6 · The paper itself

Abstract

Delta smelt struggle to persist in a dramatically altered estuarine environment. Complex and incompletely understood relationships between food availability, environmental stressors, other components of the species' habitat, and the abundance of delta smelt impede the effective management and recovery of the species. The empirical modeling presented in this study quantitatively describes spatial-temporal biomass values of calanoid copepods, a key prey item for delta smelt, in relation to multiple potential controlling factors. The results underscore the role that river flows through the estuary have in determining prey availability, and demonstrate contributions of water temperature, salinity, and macronutrients in determining copepod biomass. The analysis also shows the importance of non-native, invasive bivalves in determining copepod biomass. Importantly, the analysis describes spatial-temporal shifts in the relative importance of modeled covariates across sampling locations in the Delta. Model results indicate that increasing flows in the fall of wetter years adversely affected copepod biomass, while increases in flows in the spring of drier years provided regional increases in biomass. The results of this analysis can inform resource management decisions and contribute to a comprehensive model that can meaningfully guide efforts to recover the imperiled delta smelt.

Indexed as

CopepodaOsmeriformesAnimalsBiomassEndangered SpeciesEstuariesSan FranciscoCalanoid copepod biomassDelta smeltEnvironmental factorsRegression analysisSacramento-San Joaquin Delta

Identifiers

PMID32179969
PMCPMC7145783

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.