262
SUBJECT INDEX
Reconnaisance method (Statistics), 92
Reduction (Statistics), 60, 72, 74
Regulation (Insect)
artificial, 17
assessment, 16
degrees of, 2,13,25
density-dependent, 6,&9
detection, 16
modification of, 8-9
processes of, 2
plantjplant, 64-65
plantlsite, 64, 66, 88
sitelhabitat, 64, 85, 88
plantlhabitat, 65, 85, 88
plantlsitelhabitat, 65, 85, 88
site groups, 85
capacity, 13
rates of, 3-4, 9, 18
Relationships (Vegetation)
Reproduction (Insect), 6
Reproductive systems, versatile (GeneResins in gymnosperm litter, 103
Reticulate classification (Statistics), 78
Retsag, Hungary, 113, 114
Ricinus communiS, 183
Ringsaker, Norway, 114
Riverside, California, 35
Robinia spp., 121
Robinia pseudoacacia, 113, 120, 123,
124,146
Rotorua, New Zealand, 110
Rottboellia exalta, 203
Roxburghshire, U.K., 115
Rubua nitidioides, 203
cology), 201-204
S
Salix cap-rea, 142
Salix gracilktyla, 146
Salix vulp~na, 146
Sambucua spp., 116
San Dimas forest, California, U.S.A.,
San Francisco Bay, California, 175
San Joaquin valley, California, 229
Sarothamnus scoparius, 1 1, 3 1
Saskatchewan, 209,231
Sassafras dbidum, 120
Saugus, Mass., U.S.A., 145
Scale insects, 35
145
Scania, 214
Schizachyrium scoparium, 232
Schizomeria spp., 1 10
Schweitzer’s reagent, 125
Scotland, 136, 178, 185
Secondary forest, Malaya, 134,138
Selection (Genecology)
modes of, 196-201
natural, 160
Shinyanga District of Tanganyika, 11
Shorea curtkii, 138
Shwea laevis, 138
Shorea leprosula, 109,134
Shrews, 42,45
Sierra Nevada, U.S.A., 108, 163, 173,
174,189,229,230
Siknemaritima, 167,177,211
Silenevulgaris, 167,177,211
Sminthurw, viridis (L.), 14
Solidago virgaurea, 214, 224, 225, 226,
Swbus aucuparia, 122,146
Sorer spp., 45,47
Sor0, Denmark, 11 1
Spatial distribution (Vegetation), 67Spergulu arvensw, 184
Spiess, Germany, 113
Stanford, 191, 193
Stanislaus National Forest, California,
Statistics in Phytosociology, 59-99
solidago spp., 214, a27
227
68
U.S.A., 146
analysis methods, 70-87
definition of, 60-61
function of, 62-64
future of, 95-97
hypothesis-generation, 60-62,7675
methods, 66
reduction, 60, 72,74
sequential methods, 91
structuring techniques, 72-80
Stipa spp., 209
Stipa leucotricha, 202
Stockholm, Sweden, 115, 180, 181
Storelvdal, Norway, 114, 115
Streptanthus spp., 221
Subdivisive methods (Statistics), 79-80
Successive appreciation method, 91-92
SucciSa vatensis, 214
Scandinavia, 182
Succiaa pratensk f. nuna ,214
SUBJECT INDEX
Reconnaisance method (Statistics), 92
Reduction (Statistics), 60, 72, 74
Regulation (Insect)
artificial, 17
assessment, 16
degrees of, 2,13,25
density-dependent, 6,&9
detection, 16
modification of, 8-9
processes of, 2
plantjplant, 64-65
plantlsite, 64, 66, 88
sitelhabitat, 64, 85, 88
plantlhabitat, 65, 85, 88
plantlsitelhabitat, 65, 85, 88
site groups, 85
capacity, 13
rates of, 3-4, 9, 18
Relationships (Vegetation)
Reproduction (Insect), 6
Reproductive systems, versatile (GeneResins in gymnosperm litter, 103
Reticulate classification (Statistics), 78
Retsag, Hungary, 113, 114
Ricinus communiS, 183
Ringsaker, Norway, 114
Riverside, California, 35
Robinia spp., 121
Robinia pseudoacacia, 113, 120, 123,
124,146
Rotorua, New Zealand, 110
Rottboellia exalta, 203
Roxburghshire, U.K., 115
Rubua nitidioides, 203
cology), 201-204
S
Salix cap-rea, 142
Salix gracilktyla, 146
Salix vulp~na, 146
Sambucua spp., 116
San Dimas forest, California, U.S.A.,
San Francisco Bay, California, 175
San Joaquin valley, California, 229
Sarothamnus scoparius, 1 1, 3 1
Saskatchewan, 209,231
Sassafras dbidum, 120
Saugus, Mass., U.S.A., 145
Scale insects, 35
145
Scania, 214
Schizachyrium scoparium, 232
Schizomeria spp., 1 10
Schweitzer’s reagent, 125
Scotland, 136, 178, 185
Secondary forest, Malaya, 134,138
Selection (Genecology)
modes of, 196-201
natural, 160
Shinyanga District of Tanganyika, 11
Shorea curtkii, 138
Shwea laevis, 138
Shorea leprosula, 109,134
Shrews, 42,45
Sierra Nevada, U.S.A., 108, 163, 173,
174,189,229,230
Siknemaritima, 167,177,211
Silenevulgaris, 167,177,211
Sminthurw, viridis (L.), 14
Solidago virgaurea, 214, 224, 225, 226,
Swbus aucuparia, 122,146
Sorer spp., 45,47
Sor0, Denmark, 11 1
Spatial distribution (Vegetation), 67Spergulu arvensw, 184
Spiess, Germany, 113
Stanford, 191, 193
Stanislaus National Forest, California,
Statistics in Phytosociology, 59-99
solidago spp., 214, a27
227
68
U.S.A., 146
analysis methods, 70-87
definition of, 60-61
function of, 62-64
future of, 95-97
hypothesis-generation, 60-62,7675
methods, 66
reduction, 60, 72,74
sequential methods, 91
structuring techniques, 72-80
Stipa spp., 209
Stipa leucotricha, 202
Stockholm, Sweden, 115, 180, 181
Storelvdal, Norway, 114, 115
Streptanthus spp., 221
Subdivisive methods (Statistics), 79-80
Successive appreciation method, 91-92
SucciSa vatensis, 214
Scandinavia, 182
Succiaa pratensk f. nuna ,214