440
I N D E X
pine vole, 71
pocket gopher, 217
Poincaré section, 257, 269
Poincaré-Bendixson theorem, 268
polar bear, 126, 178–79
pomarine jaeger, 265
POPII, 258
population monitoring, 213–46; index
surveys, 220; indices’ variation over
time, 222–23; power estimation for,
223–24; sampling requirements for
robust, 227–28, 230–31; selection of
sampling areas for, 221–22; setting
objectives for, 228–29
population persistence: and genetic
mutation, 324; parameter uncertainty
in estimating, 319–22; qualitative
observation on, 290; related to
density-dependence, 314–19; related
to population size, 296–97; related to
reproductive rates, 291; sources of
variation affecting, 293–303;
temporal variation in, 299–300,
304
population viability, defined, 288
population viability analysis (PVA),
288–327; analytical models, 289;
components of, 303–305; densitydependence role, 303; problems in the
application of, 322–25
porcupine, 141
predator-prey dynamics: age structure,
275–76; Kolmogorov’s equations,
262–68; seasonality, 258–59; spatial
structure, 276–77; time lag, 256–57
predator-prey models: autoregressive,
270–72; continuous-time, 257;
discrete-time, 257; graphic, 268–69;
habitat capability, 259–60; Keith’s,
259–60; noninteractive, 255–60;
ratio-dependent, 269; single-species,
255–57; stochastic, 269–70; true
predator-prey, 260–69
predictions, 10–11
presence-absence data, 407–408
prey vulnerability, 172
principles, defined, 2
probability level criterion, 75
process variation, 303
quasi-extinction, 289
radiometric errors, 414–15
random walk: model, 194; multiscale,
82–86
randomization test, 195–96
Ranges V, 369
rat, 356
rate of population change (R), 293
red deer, 301, 357
red squirrel, 70 (American), 73
(European)
red-backed vole, 119
red-cockaded woodpecker, 70–71, 73
redundancy theory, 8
remote sensing, 401–402, 414
reproduction, 145, 152
resource availability, 113
resource selection probability function,
128–30, 143.See also Manly-Chesson
index
rhesus monkey, 365
ring-necked pheasant, 131
rivet theory, 8
rodents 121, 145
roe deer, 133, 152
sample: bias, 120–21; size for location
data, 79, 81; unit, 116–17, 121–22
sampling: design, 221–22; errors, 115,
121–22; location data, 87; variance,
223, 303, 305–312, 314, 323
I N D E X
pine vole, 71
pocket gopher, 217
Poincaré section, 257, 269
Poincaré-Bendixson theorem, 268
polar bear, 126, 178–79
pomarine jaeger, 265
POPII, 258
population monitoring, 213–46; index
surveys, 220; indices’ variation over
time, 222–23; power estimation for,
223–24; sampling requirements for
robust, 227–28, 230–31; selection of
sampling areas for, 221–22; setting
objectives for, 228–29
population persistence: and genetic
mutation, 324; parameter uncertainty
in estimating, 319–22; qualitative
observation on, 290; related to
density-dependence, 314–19; related
to population size, 296–97; related to
reproductive rates, 291; sources of
variation affecting, 293–303;
temporal variation in, 299–300,
304
population viability, defined, 288
population viability analysis (PVA),
288–327; analytical models, 289;
components of, 303–305; densitydependence role, 303; problems in the
application of, 322–25
porcupine, 141
predator-prey dynamics: age structure,
275–76; Kolmogorov’s equations,
262–68; seasonality, 258–59; spatial
structure, 276–77; time lag, 256–57
predator-prey models: autoregressive,
270–72; continuous-time, 257;
discrete-time, 257; graphic, 268–69;
habitat capability, 259–60; Keith’s,
259–60; noninteractive, 255–60;
ratio-dependent, 269; single-species,
255–57; stochastic, 269–70; true
predator-prey, 260–69
predictions, 10–11
presence-absence data, 407–408
prey vulnerability, 172
principles, defined, 2
probability level criterion, 75
process variation, 303
quasi-extinction, 289
radiometric errors, 414–15
random walk: model, 194; multiscale,
82–86
randomization test, 195–96
Ranges V, 369
rat, 356
rate of population change (R), 293
red deer, 301, 357
red squirrel, 70 (American), 73
(European)
red-backed vole, 119
red-cockaded woodpecker, 70–71, 73
redundancy theory, 8
remote sensing, 401–402, 414
reproduction, 145, 152
resource availability, 113
resource selection probability function,
128–30, 143.See also Manly-Chesson
index
rhesus monkey, 365
ring-necked pheasant, 131
rivet theory, 8
rodents 121, 145
roe deer, 133, 152
sample: bias, 120–21; size for location
data, 79, 81; unit, 116–17, 121–22
sampling: design, 221–22; errors, 115,
121–22; location data, 87; variance,
223, 303, 305–312, 314, 323