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lake simcoe state variables  (Simcoe Consultants)

 
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    Simcoe Consultants lake simcoe state variables
    Map displaying <t>Lake</t> <t>Simcoe</t> stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.
    Lake Simcoe State Variables, supplied by Simcoe Consultants, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/lake simcoe state variables/product/Simcoe Consultants
    Average 90 stars, based on 1 article reviews
    lake simcoe state variables - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes"

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    Journal: Ecological Applications

    doi: 10.1002/eap.2685

    Map displaying Lake Simcoe stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.
    Figure Legend Snippet: Map displaying Lake Simcoe stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.

    Techniques Used:

    Description and ecological significance of state variables measured by Lake Simcoe long‐term monitoring program and evaluated in this study.
    Figure Legend Snippet: Description and ecological significance of state variables measured by Lake Simcoe long‐term monitoring program and evaluated in this study.

    Techniques Used: Bacteria, Derivative Assay

    Principal component (PC) analysis of state variables in Lake Simcoe, where points represent the PC scores of biweekly time steps, and arrows show PC loadings of state variables.
    Figure Legend Snippet: Principal component (PC) analysis of state variables in Lake Simcoe, where points represent the PC scores of biweekly time steps, and arrows show PC loadings of state variables.

    Techniques Used:

    (Left) Breakpoint timing, direction of change (▲ = increase; ▼ = decrease), and effect size (white: Cohen's d < 0.3; gray: 0.3 < Cohen's d < 0.5; light red: 0.5 < Cohen's d < 0.8; red: 0.8 < Cohen's d ) for principal component (PC) score and state variable time series across three Lake Simcoe monitoring stations (shallow: LS‐S; middepth: LS‐M; deep: LS‐D). (Right) Number of EWIs with expected trends prior to corresponding critical transitions identified through breakpoint analysis (light gray = 0; medium gray = 1; dark gray = 2; dark red = 3; red = 4). EWI trends prior to 1988 (shaded time period) could not be evaluated due to lack of data availability.
    Figure Legend Snippet: (Left) Breakpoint timing, direction of change (▲ = increase; ▼ = decrease), and effect size (white: Cohen's d < 0.3; gray: 0.3 < Cohen's d < 0.5; light red: 0.5 < Cohen's d < 0.8; red: 0.8 < Cohen's d ) for principal component (PC) score and state variable time series across three Lake Simcoe monitoring stations (shallow: LS‐S; middepth: LS‐M; deep: LS‐D). (Right) Number of EWIs with expected trends prior to corresponding critical transitions identified through breakpoint analysis (light gray = 0; medium gray = 1; dark gray = 2; dark red = 3; red = 4). EWI trends prior to 1988 (shaded time period) could not be evaluated due to lack of data availability.

    Techniques Used:



    Similar Products

    lake simcoe state variables  (Simcoe Consultants)
    90
    Simcoe Consultants lake simcoe state variables
    Map displaying <t>Lake</t> <t>Simcoe</t> stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.
    Lake Simcoe State Variables, supplied by Simcoe Consultants, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/lake simcoe state variables/product/Simcoe Consultants
    Average 90 stars, based on 1 article reviews
    lake simcoe state variables - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier
    lake simcoe state variable  (Simcoe Consultants)
    90
    Simcoe Consultants lake simcoe state variable
    Map displaying <t>Lake</t> <t>Simcoe</t> stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.
    Lake Simcoe State Variable, supplied by Simcoe Consultants, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/lake simcoe state variable/product/Simcoe Consultants
    Average 90 stars, based on 1 article reviews
    lake simcoe state variable - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Map displaying Lake Simcoe stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: Map displaying Lake Simcoe stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.

    Article Snippet: We hypothesized that temporal patterns in SD, AR1, SK, and K would correspond to transitions in Lake Simcoe state variables measured from 1980 onward and be more pronounced at the ecosystem or multivariate scale.

    Techniques:

    Description and ecological significance of state variables measured by Lake Simcoe long‐term monitoring program and evaluated in this study.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: Description and ecological significance of state variables measured by Lake Simcoe long‐term monitoring program and evaluated in this study.

    Article Snippet: We hypothesized that temporal patterns in SD, AR1, SK, and K would correspond to transitions in Lake Simcoe state variables measured from 1980 onward and be more pronounced at the ecosystem or multivariate scale.

    Techniques: Bacteria, Derivative Assay

    Principal component (PC) analysis of state variables in Lake Simcoe, where points represent the PC scores of biweekly time steps, and arrows show PC loadings of state variables.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: Principal component (PC) analysis of state variables in Lake Simcoe, where points represent the PC scores of biweekly time steps, and arrows show PC loadings of state variables.

    Article Snippet: We hypothesized that temporal patterns in SD, AR1, SK, and K would correspond to transitions in Lake Simcoe state variables measured from 1980 onward and be more pronounced at the ecosystem or multivariate scale.

    Techniques:

    (Left) Breakpoint timing, direction of change (▲ = increase; ▼ = decrease), and effect size (white: Cohen's d < 0.3; gray: 0.3 < Cohen's d < 0.5; light red: 0.5 < Cohen's d < 0.8; red: 0.8 < Cohen's d ) for principal component (PC) score and state variable time series across three Lake Simcoe monitoring stations (shallow: LS‐S; middepth: LS‐M; deep: LS‐D). (Right) Number of EWIs with expected trends prior to corresponding critical transitions identified through breakpoint analysis (light gray = 0; medium gray = 1; dark gray = 2; dark red = 3; red = 4). EWI trends prior to 1988 (shaded time period) could not be evaluated due to lack of data availability.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: (Left) Breakpoint timing, direction of change (▲ = increase; ▼ = decrease), and effect size (white: Cohen's d < 0.3; gray: 0.3 < Cohen's d < 0.5; light red: 0.5 < Cohen's d < 0.8; red: 0.8 < Cohen's d ) for principal component (PC) score and state variable time series across three Lake Simcoe monitoring stations (shallow: LS‐S; middepth: LS‐M; deep: LS‐D). (Right) Number of EWIs with expected trends prior to corresponding critical transitions identified through breakpoint analysis (light gray = 0; medium gray = 1; dark gray = 2; dark red = 3; red = 4). EWI trends prior to 1988 (shaded time period) could not be evaluated due to lack of data availability.

    Article Snippet: We hypothesized that temporal patterns in SD, AR1, SK, and K would correspond to transitions in Lake Simcoe state variables measured from 1980 onward and be more pronounced at the ecosystem or multivariate scale.

    Techniques:

    Map displaying Lake Simcoe stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: Map displaying Lake Simcoe stations studied (C1 [LS‐S], C9 [LS‐M], K42 [LS‐D]) and watershed land cover.

    Article Snippet: To address this hypothesis, the two primary objectives of our study were to (1) identify historical breakpoints in Lake Simcoe state variable and multivariate time series and (2) determine whether these breakpoints coincide with the expected temporal patterns in early warning statistical indicators (i.e., EWIs).

    Techniques:

    Description and ecological significance of state variables measured by Lake Simcoe long‐term monitoring program and evaluated in this study.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: Description and ecological significance of state variables measured by Lake Simcoe long‐term monitoring program and evaluated in this study.

    Article Snippet: To address this hypothesis, the two primary objectives of our study were to (1) identify historical breakpoints in Lake Simcoe state variable and multivariate time series and (2) determine whether these breakpoints coincide with the expected temporal patterns in early warning statistical indicators (i.e., EWIs).

    Techniques: Bacteria, Derivative Assay

    Principal component (PC) analysis of state variables in Lake Simcoe, where points represent the PC scores of biweekly time steps, and arrows show PC loadings of state variables.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: Principal component (PC) analysis of state variables in Lake Simcoe, where points represent the PC scores of biweekly time steps, and arrows show PC loadings of state variables.

    Article Snippet: To address this hypothesis, the two primary objectives of our study were to (1) identify historical breakpoints in Lake Simcoe state variable and multivariate time series and (2) determine whether these breakpoints coincide with the expected temporal patterns in early warning statistical indicators (i.e., EWIs).

    Techniques:

    (Left) Breakpoint timing, direction of change (▲ = increase; ▼ = decrease), and effect size (white: Cohen's d < 0.3; gray: 0.3 < Cohen's d < 0.5; light red: 0.5 < Cohen's d < 0.8; red: 0.8 < Cohen's d ) for principal component (PC) score and state variable time series across three Lake Simcoe monitoring stations (shallow: LS‐S; middepth: LS‐M; deep: LS‐D). (Right) Number of EWIs with expected trends prior to corresponding critical transitions identified through breakpoint analysis (light gray = 0; medium gray = 1; dark gray = 2; dark red = 3; red = 4). EWI trends prior to 1988 (shaded time period) could not be evaluated due to lack of data availability.

    Journal: Ecological Applications

    Article Title: Applying early warning indicators to predict critical transitions in a lake undergoing multiple changes

    doi: 10.1002/eap.2685

    Figure Lengend Snippet: (Left) Breakpoint timing, direction of change (▲ = increase; ▼ = decrease), and effect size (white: Cohen's d < 0.3; gray: 0.3 < Cohen's d < 0.5; light red: 0.5 < Cohen's d < 0.8; red: 0.8 < Cohen's d ) for principal component (PC) score and state variable time series across three Lake Simcoe monitoring stations (shallow: LS‐S; middepth: LS‐M; deep: LS‐D). (Right) Number of EWIs with expected trends prior to corresponding critical transitions identified through breakpoint analysis (light gray = 0; medium gray = 1; dark gray = 2; dark red = 3; red = 4). EWI trends prior to 1988 (shaded time period) could not be evaluated due to lack of data availability.

    Article Snippet: To address this hypothesis, the two primary objectives of our study were to (1) identify historical breakpoints in Lake Simcoe state variable and multivariate time series and (2) determine whether these breakpoints coincide with the expected temporal patterns in early warning statistical indicators (i.e., EWIs).

    Techniques: