11 research outputs found
Appendix B. Calibrated parameters used in the Sacramento rainfall runoff model.
Calibrated parameters used in the Sacramento rainfall runoff model
Wetland complexes in the Murray-Darling Basin identified as priorities when setting an 80% representation targets for each of the 52 waterbird species, simultaneously across all species, across all years (overall), during dry and wet years, along with total and average (Β±95% CI) waterbird abundances estimated during the aerial surveys of waterbirds in eastern Australia.
<p>β Likely driven by high occurrence of Silver gull</p><p>Wetland complexes in the Murray-Darling Basin identified as priorities when setting an 80% representation targets for each of the 52 waterbird species, simultaneously across all species, across all years (overall), during dry and wet years, along with total and average (Β±95% CI) waterbird abundances estimated during the aerial surveys of waterbirds in eastern Australia.</p
Posterior mean coefficient (estimated using Bayesian Model Averaging) of total annual flows in the Murray-Darling Basin, against irreplaceability scores (IrSc) of each planning unit (PU), 1983β2012.
<p>Posterior mean coefficient (estimated using Bayesian Model Averaging) of total annual flows in the Murray-Darling Basin, against irreplaceability scores (IrSc) of each planning unit (PU), 1983β2012.</p
Average irreplaceability scores, when prioritising for a representation target of 80% of waterbird abundance for each of the 52 waterbird species, simultaneously across all species and (A) across all years 1983β2012; (B) during wet years; and (C) during dry years.
<p>Average irreplaceability scores, when prioritising for a representation target of 80% of waterbird abundance for each of the 52 waterbird species, simultaneously across all species and (A) across all years 1983β2012; (B) during wet years; and (C) during dry years.</p
Average irreplaceability scores (IrSc) of planning units (PUs) (small inset) across increasing prioritisation targets (10β100%) of total waterbird abundance (1983β2012), for the 52 waterbird species (see Table 2 for wetland acronyms).
<p>The six (30km wide) aerial survey bands sampled 13.7% of the wetland surface area of the Murray-Darling Basin (inset, grey shade). Wetlands were mapped from satellite imagery (Kingsford et al. 2004).</p
Results of generalized linear model analysis, using Bayesian model averaging, showing the posterior probability (pp) and posterior mean coefficient estimates (Ξ²Β±sd) for explanatory variables (scaled), (Pseudo R2 = 0.23).
<p>Analyses focused on numbers of planning units (PUs) required, each year (1983β2012), to achieve an 80% representation target of abundance for each of the 52 waterbird species, simultaneously across all species, across the surveyed Murray-Darling Basin.</p
Irreplaceability scores of PUs under wet and dry phases, showing arrows that indicate functional role of wetlands as solely as refugia or, breeding sites and wetlands supporting both functions.
<p>Irreplaceability scores of PUs under wet and dry phases, showing arrows that indicate functional role of wetlands as solely as refugia or, breeding sites and wetlands supporting both functions.</p
Appendix C. Calibration and validation periods for modeling transmission losses and extractive demand for high-priority uses (human and animal consumption, industry, high-value agriculture) and low-priority uses (mainly irrigated agriculture).
Calibration and validation periods for modeling transmission losses and extractive demand for high-priority uses (human and animal consumption, industry, high-value agriculture) and low-priority uses (mainly irrigated agriculture)
Total annual surveyed waterbird abundance, 1983β2012 (grey bars) and the corresponding z-values of total annual flows (dashed line indicated 1SD bounds) in the Murray-Darling Basin.
<p>Total annual surveyed waterbird abundance, 1983β2012 (grey bars) and the corresponding z-values of total annual flows (dashed line indicated 1SD bounds) in the Murray-Darling Basin.</p
Proportion of irreplaceability scores by system type (estuarine, lacustrine, palustrine, riverine), during wet and dry years.
<p>Proportion of irreplaceability scores by system type (estuarine, lacustrine, palustrine, riverine), during wet and dry years.</p