TY - JOUR
T1 - Hierarchical Bayesian estimation of the population viability of an epixylic moss
AU - Ruete, Alejandro
AU - Wiklund, Karin
AU - Snäll, Tord
PY - 2012
Y1 - 2012
N2 - 5. Synthesis. Statements about the viability of populations should not be based on point estimates of log lambda(S). Instead, the full probability distribution of log lambda(S) should be used, which explicitly accounts for the hierarchically structured natural variability and uncertainty. This distribution allows estimating the risk for a population decline, or providing an estimate of the confidence in a statement about a decline. This quantitative information can be weighed against other interests. We expect this Bayesian approach to be especially useful in the viability analysis of natural populations experiencing environmental variability.
AB - 5. Synthesis. Statements about the viability of populations should not be based on point estimates of log lambda(S). Instead, the full probability distribution of log lambda(S) should be used, which explicitly accounts for the hierarchically structured natural variability and uncertainty. This distribution allows estimating the risk for a population decline, or providing an estimate of the confidence in a statement about a decline. This quantitative information can be weighed against other interests. We expect this Bayesian approach to be especially useful in the viability analysis of natural populations experiencing environmental variability.
KW - bryophyte
KW - climate
KW - environmental stochasticity
KW - hierarchical Bayesian model
KW - plant population and community dynamics
KW - plant-climate interactions
KW - population viability
KW - stochastic growth rate
KW - uncertainty
KW - bryophyte
KW - climate
KW - environmental stochasticity
KW - hierarchical Bayesian model
KW - plant population and community dynamics
KW - plant-climate interactions
KW - population viability
KW - stochastic growth rate
KW - uncertainty
UR - https://res.slu.se/id/publ/56356
U2 - 10.1111/j.1365-2745.2011.01887.x
DO - 10.1111/j.1365-2745.2011.01887.x
M3 - Journal article
SN - 0022-0477
VL - 100
SP - 499
EP - 507
JO - Journal of Ecology
JF - Journal of Ecology
IS - 2
ER -