18 research outputs found

    Estimates of β for the logit link function based on best and univariate models for tiger probability of habitat use (ψ<sub>1-km</sub>) within acacia plantations in central Sumatra for landscape covariates.

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    <p><u>Note</u>:</p><p>*indicates strong or robust impact, that is 95% confidence intervals as defined by ±1.96×SE not overlapping 0; italics indicate opposite from <i>a priori</i> prediction. AltDEM = altitude; Precip = precipitation;Dtwater = distance to freshwater body; dtfedge07 = distance to forest edge; dtpacr = distance to centroid of protected areas; Dtmprd = distance to major public road; dtf05cr = Distance to nearest centroid of forest block greater than 50,000 ha.</p

    Estimates of β for the logit link function based on best and univariate models for tiger probability of habitat use (ψ<sub>1-km</sub>) in all landcover types in central Sumatra for manual covariates.

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    <p>Note:</p><p>*indicates strong or robust impact, that is 95% confidence intervals as defined by ±1.96×SE not overlapping 0; italics indicate opposite from <i>a priori</i> prediction. Overall = overall vegetation cover.</p

    Estimates of β for the logit link function based on best and univariate models for tiger probability of habitat use (ψ<sub>1-km</sub>) within acacia plantations in central Sumatra for manual covariates.

    No full text
    <p><u>Note</u>:</p><p>*indicates strong or robust impact, that is 95% confidence intervals as defined by ±1.96×SE not overlapping 0; italics indicate opposite from <i>a priori</i> prediction.</p

    Top models (<i>w</i><sub>i</sub>>0) for tiger probability of habitat use (ψ<sub>1-km</sub>) in central Sumatra across all landcover types in the landscape based on detection history data collected at transect sites (n = 1857, 1-km transects) in six landcover types.

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    <p>Note: Psi = probability of site occupancy/habitat use; p = probability of detection; thta0 = spatial dependence parameter - probability that the species is present locally, given the species was not present in the previous site; thta1 = spatial dependence parameter -probability that a species is present locally, given it was present at the previous site. LCCode = landcover code; AltDEM = Altitude; Precip = Precipitation; dtwater = distance to freshwater; Dtfedge07 = distance to forest edge; dtf05cr = Distance to nearest centroid of forest block greater than 50,000 ha; dtpacr = distance to centroid of protected area; Dtmprd = Distance to major public road; LCFor = forest(1) or nonforest(0).</p

    Top models (<i>w</i><sub>i</sub>>0) for probability of habitat use (ψ<sub>1-km</sub>) by tigers based on detection history data collected at transect sites within acacia plantations (n = 268, at 1-km transect scale) in central Sumatra.

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    <p>Notes: Psi = probability of site occupancy/habitat use; p = probability of detection; thta0 = spatial dependence parameter representing the probability that the species is present locally, given the species was not present in the previous site; thta1 = spatial dependence parameter representing the probability that a species is present locally, given it was present at the previous site. Dtwater = distance to freshwater; Dtmprd = distance to major public road; dtfedge07 = distance to forest edge; dtpacr = distance to centroid of protected areas; dtf05cr = Distance to nearest centroid of forest block greater than 50,000 ha; Precip = precipitation.</p

    Estimates of β for the logit link function based on best and univariate models for tiger probability of habitat use (ψ<sub>1-km</sub>) within forest areas in central Sumatra for manual covariates.

    No full text
    <p><u>Note</u>:</p><p>*indicates strong or robust impact, that is 95% confidence intervals as defined by ±1.96×SE not overlapping 0; italic indicates opposite from <i>a priori</i> prediction.</p

    Estimated probability of habitat use (ψ<sub>1-km</sub>) by tigers in six land cover types.

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    <p>These estimates were produced from the best model for each landcover (bars) and ratio of plantation's probability of use (diamonds) relative to forest based on a) landscape covariates and b) manual covariates.</p
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