Literature DB >> 29329341

Correction: A century of changing flows: Forest management changed flow magnitudes and warming advanced the timing of flow in a southwestern US river.

Marcos D Robles, Dale S Turner, Jeanmarie A Haney.   

Abstract

[This corrects the article DOI: 10.1371/journal.pone.0187875.].

Year:  2018        PMID: 29329341      PMCID: PMC5766237          DOI: 10.1371/journal.pone.0191443

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


The legend for Table 5 is incorrect. The text of the legend is incorrectly placed within the main article text as the third paragraph of the “Climate-flow regression models” heading of the Climate trends subsection of the Results. This paragraph should instead be included as the legend for Table 5. Please see the correct table and legend here.
Table 5

Climate-flow regression models.

Multiple linear regression models explaining variation in annual and monthly total streamflow for the Salt River near Roosevelt, Arizona [60] based on precipitation and temperature at McNary, Arizona [61]. Models built with full dataset (1914–2012) and re-run for two sub-periods. Final models included explanatory variables that were significant (* < = 0.05, ** < = 0.01, *** < = 0.001) and not correlated, except for precipitation polynomial terms that were needed to satisfy assumptions of linear fit (N.S. denotes non-significance for these terms). Months labeled with ‘75’ indicate only 75% of data were used to eliminate serial correlation of model residuals. Regression models described in more detail in methods section and S1 Table.

ModelPrecipitationTemperature
Monthly FlowModel TypeTime Period# Yearsadj r2SEPrec 1Signp-valuePrec 2Signp-valueTemp 1Signp-valueTemp 2Signp-value
AnnualLinear P1915–2012840.7090.169Jul-Jun+***         
"Linear P1915–1963390.7210.152Jul-Jun+***         
"Linear P, T1964–2012450.7280.177Jul-Jun+***   Jul-Jun-*   
FebruaryQuadratic P, T1914–2012880.6680.270Dec-Feb+***(Dec-Feb)2-*Nov-*Feb+***
"Quadratic P, T1914–1963420.4970.311Dec-Feb+***(Dec-Feb)2-*   Feb+**
"Quadratic P, T1964–2012460.8120.216Dec-Feb+***(Dec-Feb)2-N.S.Nov-***Feb+*
MarchQuadratic P, T1914–2012880.7510.212Nov-Mar+***(Nov-Mar)2-***Mar+*   
"Quadratic P1914–1963420.6370.205Nov-Mar+***(Nov-Mar)2-*      
"Quadratic P1964–2012460.7780.232Nov-Mar+***(Nov-Mar)2-***      
AprilQuadratic P, T1914–2012860.7690.199Dec-Apr+***(Dec-Apr)2-**Nov-Jan-***Mar-***
"Quadratic P, T1914–1963400.5950.247Dec-Apr+**(Dec-Apr)2-N.S.   Mar-***
"Quadratic P, T1964–2012460.8790.153Dec-Apr+***(Dec-Apr)2-***Nov-Jan-***Mar-*
MayQuadratic P, T1914–2012850.8200.167Dec-May+***(Dec-May)2-**Nov-Dec-*Mar-Apr-***
"Quadratic P, T1914–1963390.6570.198Dec-May+***(Dec-May)2-*   Mar-Apr-***
"Quadratic P, T1964–2012460.8960.141Dec-May+***(Dec-May)2-**Nov-Dec-*Mar-Apr-***
JuneQuadratic P, T1914–2012890.7320.157Nov-May+***(Nov-May)2-N.S.Apr-May-***   
"Quadratic P, T1914–1963430.6040.171Nov-May+*(Nov-May)2-N.S.Apr-May-*   
"Quadratic P, T1964–2012460.8010.149Nov-May+***(Nov-May)2-N.S.Apr-May-*   
July75Linear P1914–2012670.2780.181Jan-Mar+**Jul+***      
"Linear P1914–1963330.2790.214   Jul+***      
"Linear P1964–2012340.2800.144Jan-Mar+*Jul+**      
August75Linear P, T1914–2012690.4050.210Jul-Aug+***   Aug-**   
"Linear P1914–1963330.5230.186Jul-Aug+***         
"Linear P, T1964–2012360.3690.221Jul-Aug+***   Aug-**   
SeptemberLinear P, T1914–2012920.4350.211Aug+***Sep+***Sep-**   
"Linear P1914–1963440.4750.230Aug+**Sep+***      
"Linear P, T1964–2012480.3820.193Aug+*Sep+***Sep-*   
November75Linear P, T1914–2012710.5520.190Oct+***Nov+***Oct-*   
"Linear P1914–1963350.2050.242Oct+*Nov+**      
"Linear P1964–2012360.8090.130Oct+***Nov+***      

Climate-flow regression models.

Multiple linear regression models explaining variation in annual and monthly total streamflow for the Salt River near Roosevelt, Arizona [60] based on precipitation and temperature at McNary, Arizona [61]. Models built with full dataset (1914–2012) and re-run for two sub-periods. Final models included explanatory variables that were significant (* < = 0.05, ** < = 0.01, *** < = 0.001) and not correlated, except for precipitation polynomial terms that were needed to satisfy assumptions of linear fit (N.S. denotes non-significance for these terms). Months labeled with ‘75’ indicate only 75% of data were used to eliminate serial correlation of model residuals. Regression models described in more detail in methods section and S1 Table.
  1 in total

1.  A century of changing flows: Forest management changed flow magnitudes and warming advanced the timing of flow in a southwestern US river.

Authors:  Marcos D Robles; Dale S Turner; Jeanmarie A Haney
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.752

  1 in total

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