SUBJECT INDEX
Pinus strobus, 104, 105, 111, 115, 116,
120,121,122
Pinus taeda, 110
Pinus thunbergii, 114
Pinus virginiana, 110,121
Plantago spp., 162
Plantago coronopa, 182
Plantago lanceolata, 185
Plantago mucrorhiza, 182
Plantago major, 209
Plantago w r i t i m a , 162, 182,206
Plasticity (Genecology), 213-217
Platanus occidentalis, 123
Poa trivialis, 186
Polytopic origin (Genecology), 210-213
Polythetic methods (Statistics), 79
Population (Insect), see also Density,
Parasites, Predators
definition of, 8
dynamics, 1-3, 6, 16,24
Populus spp., 107, 111, 114, 117, 121,
139,147
Populus alba, 113
Populus davidiana, 146,148, 149
Popuha grandidentata, 11 1,122,146
Populw nigra, 114
Populus tremula, 115, 117, 120, 123,
Populua tremubides, 111, 146, 148
Potentilla glandulosa, 163, 173, 174,
175,178,188,190,191,192,193,212
ssp. hanseni, 163,173,174,212
ssp. nevadensis, 163, 173, 174, 188,
ssp. rejlexa, 163, 173, 176, 188, 191,
ssp.typica, 163,173,174,188,191,192
density relationships, 42-40
functional and numerical responses,
42,4547
functional
response
laboratory
model, 42-43
mammalian, 4 P 4 7
other vertebrates, 47-49
pupal, 28-30
132,138,142
191,192,193,212
192,212
Predators (Insect)
Presence-or-absence system (VegetaPrimary analysis (Statistics), 65, 89
Principal component analyses (Statistion), 68-69
tics), 74
261
P r u n e h vulgaris, 182
Prunus spp., 121
PrUnuS pennsylvanica, 123
Prunus serotim, 105, 123
Pseudotauga rnenzieeii, 110, 116, 133,
Pulse beetles, 51, 52
Pyrus coronaria, 123
135,139,141,148
Q
Qualitative patterns (Vegetation), 69
Quantitative methods (Vegetation), 92,
Quantitative patterns (Vegetation), 69
Quebec, Canada, 105
Quercus spp., 110, 111, 114, 116, 117,
118, 121, 136, 137, 140, 142, 144,
145,147
Quercus alba, 104, 105, 110, 111, 116,
122,137,138,139,144,145
Quercus borealis, 104, 105, 111, 122, 148
Quercus breviloba, 122
Quercus cerris, 114
Quercus chrysolepis, 145
Quercus coccinea, 110, 137
Quercus douglaaii, 123
Quercus ellipsoidal&. 145
Quercus falcata, 137
Quercus ilicifolia, 2 11
Quercus kelbggii, 116
Quercus mariladica, 2 1 1
Quercua mongolica v. grosseserrata, 145
Quercus montana, 137
Quercus palustris, 122
Quercus petraea, 144
Quercus pinus, 110
Quercua robur, 114, 120, 123, 138, 145,
Quercus rubra, 114, 115, 116
Quercus serrata, 114
Quercua sessilijlora, 1 14
Quercus stellata, 137, 138
Quercusvelutina, 110, 116, 123, 137, 139
Quercus virginiana, 123
93
148
R
Racial identity, Retention of (Genecology), 210-213
Ranunculus dissectifolius, 176-177
Ranunculus Zappaceus, 176,212
Ranunculus millanii, 176, 177
Pinus strobus, 104, 105, 111, 115, 116,
120,121,122
Pinus taeda, 110
Pinus thunbergii, 114
Pinus virginiana, 110,121
Plantago spp., 162
Plantago coronopa, 182
Plantago lanceolata, 185
Plantago mucrorhiza, 182
Plantago major, 209
Plantago w r i t i m a , 162, 182,206
Plasticity (Genecology), 213-217
Platanus occidentalis, 123
Poa trivialis, 186
Polytopic origin (Genecology), 210-213
Polythetic methods (Statistics), 79
Population (Insect), see also Density,
Parasites, Predators
definition of, 8
dynamics, 1-3, 6, 16,24
Populus spp., 107, 111, 114, 117, 121,
139,147
Populus alba, 113
Populus davidiana, 146,148, 149
Popuha grandidentata, 11 1,122,146
Populw nigra, 114
Populus tremula, 115, 117, 120, 123,
Populua tremubides, 111, 146, 148
Potentilla glandulosa, 163, 173, 174,
175,178,188,190,191,192,193,212
ssp. hanseni, 163,173,174,212
ssp. nevadensis, 163, 173, 174, 188,
ssp. rejlexa, 163, 173, 176, 188, 191,
ssp.typica, 163,173,174,188,191,192
density relationships, 42-40
functional and numerical responses,
42,4547
functional
response
laboratory
model, 42-43
mammalian, 4 P 4 7
other vertebrates, 47-49
pupal, 28-30
132,138,142
191,192,193,212
192,212
Predators (Insect)
Presence-or-absence system (VegetaPrimary analysis (Statistics), 65, 89
Principal component analyses (Statistion), 68-69
tics), 74
261
P r u n e h vulgaris, 182
Prunus spp., 121
PrUnuS pennsylvanica, 123
Prunus serotim, 105, 123
Pseudotauga rnenzieeii, 110, 116, 133,
Pulse beetles, 51, 52
Pyrus coronaria, 123
135,139,141,148
Q
Qualitative patterns (Vegetation), 69
Quantitative methods (Vegetation), 92,
Quantitative patterns (Vegetation), 69
Quebec, Canada, 105
Quercus spp., 110, 111, 114, 116, 117,
118, 121, 136, 137, 140, 142, 144,
145,147
Quercus alba, 104, 105, 110, 111, 116,
122,137,138,139,144,145
Quercus borealis, 104, 105, 111, 122, 148
Quercus breviloba, 122
Quercus cerris, 114
Quercus chrysolepis, 145
Quercus coccinea, 110, 137
Quercus douglaaii, 123
Quercus ellipsoidal&. 145
Quercus falcata, 137
Quercus ilicifolia, 2 11
Quercus kelbggii, 116
Quercus mariladica, 2 1 1
Quercua mongolica v. grosseserrata, 145
Quercus montana, 137
Quercus palustris, 122
Quercus petraea, 144
Quercus pinus, 110
Quercua robur, 114, 120, 123, 138, 145,
Quercus rubra, 114, 115, 116
Quercus serrata, 114
Quercua sessilijlora, 1 14
Quercus stellata, 137, 138
Quercusvelutina, 110, 116, 123, 137, 139
Quercus virginiana, 123
93
148
R
Racial identity, Retention of (Genecology), 210-213
Ranunculus dissectifolius, 176-177
Ranunculus Zappaceus, 176,212
Ranunculus millanii, 176, 177