pec_et_al_understory_diversity_environment

pec_et_al_understory_diversity_environmen

Candidate models used for inference on the productivity, richness and evenness of understory plant community responses to <i>Dendroctonus ponderosae</i>-induced tree mortality, light, soil moisture, and nutrients.

<p><i>Notes</i>: The most likely models (<i>w</i>_i>0.90; difference in evidence ratio>2.7) are shown in <b>bold</b>. AIC_C = Akaike’s Information Criterion corrected, ΔAIC_C = difference between AIC_Ci and AIC_{C best model}, <i>w</i>_i = Akaike weight, and evidence ratio = <i>w</i>_{j best model} / <i>w</i>_i.</p><p>Candidate models used for inference on the productivity, richness and evenness of understory plant community responses to <i>Dendroctonus ponderosae</i>-induced tree mortality, light, soil moisture, and nutrients.</p

Model-averaged coefficients and 95% confidence intervals of <i>Dendroctonus ponderosae</i>-induced tree mortality, percent soil moisture, soil nutrients and light predicting evenness of understory woody perennial species in 2012 and 2013.

<p>Model-averaged coefficients and 95% confidence intervals of <i>Dendroctonus ponderosae</i>-induced tree mortality, percent soil moisture, soil nutrients and light predicting evenness of understory woody perennial species in 2012 and 2013.</p

Ranked relative importance of variables associated with the productivity, richness, and evenness of the understory plant community showing model estimates of slope and variance.

<p>The most likely explanatory variables are shown in bold (based on model-average estimate being different from zero when the confidence interval excludes zero).</p><p>Ranked relative importance of variables associated with the productivity, richness, and evenness of the understory plant community showing model estimates of slope and variance.</p

Model-averaged coefficients and 95% confidence intervals of <i>Dendroctonus ponderosae</i>-induced tree mortality, percent soil moisture, soil nutrients and light predicting understory plant community biomass in 2012 and 2013.

<p>Model-averaged coefficients and 95% confidence intervals of <i>Dendroctonus ponderosae</i>-induced tree mortality, percent soil moisture, soil nutrients and light predicting understory plant community biomass in 2012 and 2013.</p

Ranked relative importance of variables associated with evenness of herbaceous and woody understory showing model estimates of slope and variance.

<p>The most likely explanatory variables are shown in bold (based on model-average estimate being different from zero when the confidence interval excludes zero).</p><p>Ranked relative importance of variables associated with evenness of herbaceous and woody understory showing model estimates of slope and variance.</p

Model-averaged coefficients and 95% confidence intervals of <i>Dendroctonus ponderosae</i>-induced tree mortality, percent soil moisture, soil nutrients and light predicting understory plant community richness in 2012 and 2013.

<p>Model-averaged coefficients and 95% confidence intervals of <i>Dendroctonus ponderosae</i>-induced tree mortality, percent soil moisture, soil nutrients and light predicting understory plant community richness in 2012 and 2013.</p

Ranked relative importance of variables associated with richness of herbaceous and woody understory showing model estimates of slope and variance.

<p>The most likely explanatory variables are shown in bold (based on model-average estimate being different from zero when the confidence interval excludes zero).</p><p>Ranked relative importance of variables associated with richness of herbaceous and woody understory showing model estimates of slope and variance.</p

Candidate models used for inference on the evenness of herbaceous and woody understory response to <i>Dendroctonus ponderosae</i>-induced tree mortality, light, soil moisture, and nutrients.

<p><i>Notes</i>: The most likely models (<i>w</i>_i>0.90; difference in evidence ratio>2.7) are shown in <b>bold</b>. AIC_C = Akaike’s Information Criterion corrected, ΔAIC_C = difference between AIC_Ci and AIC_{C best model}, <i>w</i>_i = Akaike weight, and evidence ratio = <i>w</i>_{j best model} / <i>w</i>_i.</p><p>Candidate models used for inference on the evenness of herbaceous and woody understory response to <i>Dendroctonus ponderosae</i>-induced tree mortality, light, soil moisture, and nutrients.</p