Source Index
1
Goodall, D.W.
Classification and ordination: their nature
and role in taxonomy and community studies.
1986, 1: 3-9
DI: NUM, VEG, ORD, NCL, SYS, TAX, GRD, MOD,
RES, THE
2
Kenkel, N.C.
Report on: 'Numerical Methods in the Study
of Vegetation Systems'.
1986, 1: 10
KW: Zrich, meeting
DI: VEG, HIS, EDU, NUM, VEG
GG: EUA, CH
3
Orlci, L., Feoli, E., Lausi, D. & Nimis,
P.L.
Estimation of character structure
convergence (divergence) in plant communities: a nested
hierachical model.
1986, 1: 11-20
KW: character set, profile
DI: NUM, MUL, STA, EVO, VEG, THE, SYS, MOD
4
Lachance, M.A. & Starner, W.T.
The community concept and the problem of
non-trivial characterization of yeast communities.
1986, 1: 21-28
KW: PCA
DI: NUM, MIC, INF, STA, ORD
5
Wildi, O.
The relational model for data bases in
community studies.
1986, 1: 29-34
KW: relational data bank
DI: THE, VEG, NUM
6
Dale, M.B., Beatrice, M., Venanzoni, R. &
Ferrari, C.
A comparison of some methods of selecting
species in vegetation analysis.
1986, 1: 35-51
KW: species reduction, constancy, fidelity,
discrimination, uniformity, correlation, specificity,
cost, concordance, compositional similarity, order
similarity, partition comparison, matrix comparison,
compatibility, robust, resistant
DI: NUM, ORD, RES, STA, MUL, THE, VEG, MET
EC: FOR, SAL
GG: EUS, IT
7
Stofella, S.L.
Report on: 'Numerical Methods to Analyze
Vegetation Data'.
1986, 1: 52
KW: Rosario, meeting
DI: VEG, NUM, MUL, EDU, HIS
GG: ALT, AR
8
Feoli, E. & Ganis, P.
Autocorrelation for measuring predictivity
in community ecology: an example with structural and
chorological data from mixed forest types in NE Italy.
1986, 1: 53-56
KW: Friuli
DI: THE, VEG, PAT, NUM, STA, MOR, LIF, GEO
EC: FOR
GG: EUS, IT
9
Swindel, B., Lloyd, R., Patil, G.P.,
Taillie, C. & Conde, L.
U.S. National Forest Management Act, forest
ecosystems diversity, and diversity profiles.
1987, 2: 1-8
KW: clear-cutting, Douglas fir, intrinsic
diversity orderings, pine
DI: DIV, MOD, STA, DYN
EC: FOR, BOR
GG: AMN, US
10
Podani, J.
Computerized sampling in vegetation studies.
1987, 2: 9-18
KW: computer, simulation, estimation, plot
size, transformation, autophenetic, sampling, symphenetic
DI: PAT, NUM, ORD, INF, NCL, MUL
11
Hinch, S.G. & Somers, K.M.
An experimental evaluation of the effect of
data centering, data standardization, and outlying
observations on principal component analysis.
1987, 2: 19-23
KW: transformation, PCA, correlation
DI: NUM, STA, MOD, ORD, GRD, RES
12
Kenkel, N.C. & Booth, T.
A comparison of presence-absence resemblance
coefficients for use in biogeographical studies.
1987, 2: 25-30
KW: NMDS
DI: NUM, MUL, RES, GEO, ORD
13
Jancey, R.C. & Wells, T.C.
Locality theory: the phenomenon and its
significance.
1987, 2: 31-37
KW: species ranking
DI: RES, NUM, MUL, VEG, DYN, NCL
EC: BOR
GG: AMN, CA
14
Michaelsen, J., Davis, F.W. & Borchert, M.
A non-parametric method for analyzing
hierarchical relationships in ecological data.
1987, 2: 39-48
KW: variable set, probability, non-
parametric, cross-validation, California
DI: NUM, INF, NCL, STA, DIS
EC: MES
GG: AMN, US
15
Carnevale, N.J., Torres, P., Boccanelli,
S.I. & Lewis, J.P.
Halophilous communities and species
distributions along environmental gradients in
southeastern Santa F Province, Argentina.
1987, 2: 49-60
KW: PCA
DI: NUM, GRD, PED, ORD, RES
EC: SAL
GG: ALT, AR
16
Orlci, L.
Flexible gradient analysis: a note on ideas
and an application.
1987, 2: 61-65
KW: sampling
DI: NUM, GRD, ORD, PED, RES, MET
EC: MIR
GG: EUA, CH
17
Fewster, P.H.
Regression modelling of perturbation in some
vegetation types.
1987, 2: 67-74
KW: response
DI: NUM, STA, RES, ORD, MOD
EC: BOR
GG: AMN, CA
18
Bredenkamp, G.J.
An overview of the major plant communities
of the Manyeleti Game Reserve, Gazankulu, South Africa.
1987, 2: 75-84
DI: VEG, SYS
EC: ARI, SAV
GG: AFS, ZA
19
Russo, T.
Parental and oblique transmission and
interaction between traits in the evolution of non-
genetic traits: suggestions for a cultural ecology.
1987, 2: 85-95
KW: epidemics, diffusion
DI: NUM, GEN, EVO, MOD, COM
20
Goodall, D.W. & Feoli, E.
Application of probabilistic methods in the
analysis of phytosociological data.
1988, 3: 1-9
KW: association, hierarchy
DI: NUM, INF, RES, NCL, SYS, THE, VEG, MET
EC: ALP
GG: EUS, IT
21
Editors
Report on: "Statistical and Computational
Ecology": an international workshop.
1988, 3: 10
KW: Las Cruces, meeting
DI: EDU, VEG, STA, NUM
GG: AMN, US
22
Dale, M.B.
Knowing when to stop: cluster concept -
concept cluster.
1988, 3: 11-32
KW: splitting line, graph, test,
interpretation, geometry
DI: NUM, MUL, MET, NCL, STA
23
Camiz, S.
Expert systems: utility in community studies
and examples.
1988, 3: 33-40
KW: table sorting, NMDS, eigenanalysis
DI: NUM, SYS, ORD, MUL, NCL
24
Petrakis, P.
DAPROPHECO: a specialized database system
for integrated studies in plant-hemiptera communities.
1988, 3: 41-53
KW: software
DI: NUM, ZOO, ORD, MUL, NCL
25
Hull, V. & Lagonegro, M.
AQUAMOD: an introductory purpose simulation
model of plankton dynamics.
1988, 3: 55-60
KW: simulation, software
DI: HYD, MOD, NUM, DYN, PLN
EC: LAC, AQU
GG: EUS, IT
26
Bartoli, A. & Massari, G.
Sampling mycocoenoses.
1988, 3: 61-68
KW: mycocoenology, sampling design, size of
sample, number of units
DI: CRY, MYC, PAT, THE, MET, STA
27
Andr, H.M.
Variable centered methods and community
classification.
1988, 3: 69-78
KW: TABORD, clustering, comparison of
classifications, DCA, Tennessee watershed data
DI: NUM, MUL, NCL, RES, ORD, ZOO, MET
EC: FOR
GG: AMN, US
28
Feoli, E., Ganis, P. & Zerihun Woldu
Community niche, an effective concept to
measure diversity of gradients and hyperspaces.
1988, 3: 79-82
KW: beta diversity
DI: THE, VEG, ECO, COM, GRD, DIV, RES
EC: FOR
GG: AFE, ET
29
Mucina, L., Ck, V. & Slavkovsky, P.
Trend surface analysis and splines for
pattern determination in plant communities.
1988, 3: 89-105
KW: TSA, bicubic splines, approximation,
interpolation, triangular, Persicaria, canonical, kriging
DI: THE, VEG, PAT, NCL, ORD, PED, POP
EC: RUD, MIR
GG: EUC, CS, SK, EUB, BG
30
Kenkel, N.C.
Introduction to Data Analysis: a
comprehensive program package for personal computers.
1988, 3: 107-109
KW: software
DI: THE, VEG, NUM, MUL, ORD, NCL, POP, STA, DYN
31
Carleton, T.J.
DENT: A Pascal program for vegetation data
entry into microcomputers.
1988, 3: 110
KW: software
DI: NUM, NCL, MUL, NCL, ORD
32
Podani, J.
SYN-TAX III. A package of programs for data
analysis in community ecology and systematics.
1988, 3: 111-119
KW: sampling, association analysis,
software, comparison, concensus, ranking, symphenetic,
PCA, PCO, AOC, correspondence analysis
DI: NUM, MUL, VEG, THE, MET, PAT, NCL, ORD,
INF
33
Dale, M.
Mutational and nonmutational similarity
measures: a preliminary examination.
1988, 3: 121-133
KW: transformation, partitions, topology,
Levenstein, fuzzy set, Rajski
DI: NUM, MUL, NCL, MET, RES, MOD
34
Herben, T. & Liska, J.
The use of multi-way contingency tables for
the study of epiphytic lichen distribution.
1988, 3: 135-139
KW: Lecanora, ANOVA
DI: NUM, MUL, NCL, CRY, STA, LIC
EC: EPI
GG: EUC, CS, CZ
35
Feoli, E. & Zuccarello, V.
Syntaxonomy: a source of useful fuzzy sets
for environmental analysis?
1988, 3: 141-147
KW: Salicetea herbaceae, Caricetea curvulae,
fuzzy sets
DI: SYS, NUM, MUL, GRD, ORD, DYN
EC: ALP, GRA
GG: EUS, IT
36
Levins, R. & Puccia, C.J.
The controlling factor in biological
communities.
1988, 3: 149-154
KW: loop, density, null hypothesis
DI: THE, ECO, POP, DYN, INT, MOD
37
Biondini, M.E., Mielke, P.W. & Redente, E.F.
Permutation techniques based on Euclidean
analysis spaces: a new and powerful statistical method
for ecological research.
1988, 3: 155-174
KW: non-linearity, software
DI: NUM, MUL, MET, STA, VEG
38
Kostoris, A.
Assessment of DBH normality based on plotless sampling.
1988, 3: 175-180
DI: SIL, THE, MET, STA, NUM
39
Podani, J.
A method for generating consensus partitions and its
application to community classification.
1989, 4: 1-10
KW: relocation, SLC, SAHN, MINFO, CLC
DI: NUM, MUL, SYS, NCL, MET
EC: GRA
GG: EUC, HU
40
Jancey, R.C.
The measurement of non-linear association in community
descriptor sets.
1989, 4: 11-13
KW: SLC
DI: NUM, MUL, RES, NCL
41
Shaukat, S.S. & Uddin, M.
A comparison of principal component and factor analysis
as ordination models with reference to a desert
ecosystem.
1989, 4: 15-28
KW: PCA, NMDS, orthogonal
DI: NUM, ORD
EC: DES
GG: ASI, PK
42
Lep<212>, J., Soldn, T. & Landa, V.
Multivariate analysis of compositional changes in
communities of Ephemeroptera (Insecta) in the Labe Basin,
Czechoslovakia - a comparison of methods.
1989, 4: 29-37
KW: DCA, TWINSPAN, transition matrix
DI: NUM, MUL, ZOO, DYN, NCL, ORD
EC: FLU, LAC
GG: EUC, CS, CZ
43
Yu, S.X. & Orlci, L.
Species dispersions along soil gradients in a Cryptocarya
community, Dinghushan, south China.
1989, 4: 39-45
KW: niche, canonical, dispersion profiles
DI: PED, GRD, COM, NUM, ORD
EC: FOR
GG: ASE, CN
44
Franceschi, E.A.
Distribution of herbaceous communities of the river
Paran valley along an elevation gradient after a
catastrophic flood.
1989, 4: 47-53
KW: PCA, SSC
DI: GRD, GEO, NUM, MUL, WAT, ORD, NCL
EC: FLU, TRO, FLO
GG: ALT, AR
45
Dulov, M. & Okli, I.
Statistical evaluation of biocoenotic records: SOFIS and
the Auchenorrhyncha file.
1989, 4: 55-58
KW: data bank, Bratislava
DI: ZOO, NUM
GG: EUC, CS, SK
46
Kenkel, N.C.
Report on: The International Workshop on Mathematical
Community Ecology.
KW: meeting
1989, 4: 59-60
DI: NUM, MAT, EDU, VEG, HIS
GG: EUS, IT
47
Egziabher, T.B.G.
The environmental variables which led to the ecological
crisis in Ethiopia.
1989, 4: 61-67
KW: highlands, Great Rift Valley, evergreen montane
forests, combretaceous deciduous woodlands, microphyllous
woodlands, evergreen scrub, Vavilov centre, multiethnic,
multi-religious society, debtera, shimaglle, serfs,
chewa, neftenna
DI: ENV, CLI, HUM, HIS
EC: ARI, TRO, DES, FOR
GG: AFE, ET
48
Kenkel, N.C.
Report on "Sampling and Data Analysis in Mediterranean
Macchia Vegetation".
1989, 4: 68
KW: IAVS, meeting
DI: NUM, WHO, HIS, VEG, EDU
EC: MES
GG: EUS, IT
49
Adler, G.H. & Wilson, M.L.
Insular distributions of voles and shrews: the rescue
effect and implications for species co-occurrence
patterns.
1989, 4: 69-72
KW: Blarina, mammals, loop
DI: ISL, ZOO, POP, INT
GG: AMN, US
50
Reich, R.M.
Sampling simulation with a microcomputer.
1989, 4: 73-80
KW: inventory, software
DI: PAT, NUM, MOD, THE, MET, ECO
51
Rinaldi, M.G. & Rinaldi, S.
Acid deposition and catastrophes in forests: a tree-
nutrient model.
1989, 4: 81-90
KW: equilibrium, fold catastrophe
DI: ENV, MOD, NUT, STB
EC: FOR
52
Niven, B.S.
The ecosystem as an algebraic category: a mathematical
basis for theory of community and ecosystem in animal
ecology.
1989, 3: 83-87
KW: treehole
DI: MAT, ZOO, THE, ECO, TER
53
Stergiou, K.I.
A method to cope with collinearity of ecological data
sets in community studies.
1989, 4: 91-94
KW: factor analysis
DI: NUM, MUL, ZOO, HYD, STA, MET, MAR
EC: SEA
GG: EUS, GR
54
Marsili-Libelli, S.
Fuzzy clustering of ecological data.
1989, 4: 95-106
DI: NUM, NCL, MUL, PHY, PHO
55
Daz, S. & Acosta, A.
Floristic and diversity changes in the phanerophytic
vegetation of Copacabana watershed (central Argentina) as
a response to disturbance.
1989, 4: 107-111
KW: DCA
DI: DIT, DIV, ENV, GRB, ORD
EC: GRA, TRO
GG: ALT, AR
56
Czrn, T.
Coexistence of competiting populations along an
environmental gradient: a simulation study.
1989, 4: 113-120
KW: cellular automata, response
DI: COM, POP, DYN, DIS, GRD, THE, VEG, PAT
57
Margalef, R.
On diversity and connectivity, as historical expressions
of ecosystems.
1989, 4: 121-126
DI: THE, ECO, DIV, COX
58
Niven, B.S.
The animal niche: a formalized functional definition and
its use in classifying niches.
1989, 4: 127-135
DI: COM, ZOO, THE, ECO
59
Neet, C.R.
Niche overlap measures and hypothesis testing: a review
with particular reference to empirical applications.
1989, 4: 137-144
DI: RES, COM, THE, MET, ECO
60
Ying-Hen Hsieh
Evolution of altruistic communities.
1989, 4: 145-147
KW: Von Foerster equations, altruistic ratio, fecundity
function
DI: EVO, MOD, POP, ECO, THE, MAT
61
Banyikwa, F.F.
Species-habitat relationships in the Serengeti short
grasslands, Tanzania.
1989, 4: 149-152
KW: topography
DI: NUM, ORD, GRD, GMO
EC: SAV
GG: AFE, TZ
62
Van Tilborgh, T., van Straaten, D., Van Hecke, P. &
Verheyen, R.
Small-scale analysis of a marsh vegetation fed by
seepage.
1989, 4: 153-162
KW: microtopography, species association, species
juxtaposition, species region, plexus
DI: GMO, PAT, RES, VEG, NUM
EC: WET, MIR
GG: EUW, BE
63
Shaukat, S.S.
A technique for species weighting and its utility in data
reduction and minimization of misclassification.
1989, 4: 163-168
KW: sum of squares, data reduction
DI: THE, VEG, MET, NUM, NCL
EC: URB, RUD
GG: AMN, CA
64
Boryslawski, Z. & Krusinska, E.
Fuzzy linguistics concept in redescription of vegetation
data.
1989, 4: 169-173
THE, VEG, NUM, ORD
65
Kenkel, N.C.
Report on "Numerical Methods and Models in Vegetation
Biology".
1989, 4: 174
KW: Len, IAVS, meeting
DI: VEG, HIS, NUM, MOD, EDU
GG: EUW, ES
66
Goodall, D.W.
Simulation modelling for ecological applications.
1989, 4: 175-180
KW: sensitivity, validation
DI: THE, ECO, MOD
67
Giavelli, G., Bodini, A. & Rossi, O.
An extension of the complexity concept derived from the
analysis of colonisation processes in small island
environments.
1990, 5: 1-5
DI: THE, ECO, MOD, STB, COX, ISL, DYN
68
Ulanowicz, R.E. & Puccia, C.J.
Mixed trophic impacts in ecosystems.
1990, 5: 7-16
KW: beneficial predators, Chesapeake Bay, trophic
structure, effect of predation, indirect competition,
indirect mutualism, input-output analysis, loop analysis,
networks of carbon flows
DI: THE, ECO, MOD, COM, ENE
69
Podani, J.
Comparison of fuzzy classifications.
1990, 5: 17-21
KW: consensus, distance, minimum length sequence metrics,
partitions
DI: NUM, NCL, THE, MET, RES, MUL
70
Ganesalingam, S.
Likelihood approach to clustering using unclassified
initial sample.
1990, 5: 23-31
KW: linear discriminant function, normal distribution
mixture, mixture and separate sampling, maximum
likelihood estimates, simulation comparison
DI: NUM, MUL, NCL, STA, MET
71
Jain, R.K.
Fish species diversity and its relationship to distance
from the coast line.
1990, 5: 33-35
DI: DIV, THE, ZOO, MAR
EC: SEA
72
Fischer, H.S.
Simulating the distribution of plant communities in an
alpine landscape.
1990, 5: 37-43
KW: Davos
DI: MOD, SYS, LAN, GEO, MAP
EC: ALP
GG: EUA, CH
73
West, N.E. & Hatton, T.J.
Relative influence of observer error and plot
randomization on detection of vegetation change.
1990, 5: 45-49
DI: NUM, ORD, VEG, DYN, THE, MET, STA
74
Wildi, O.
Sampling with multiple objectives and the role of spatial
autocorrelation.
1990, 5: 51-60
KW: simulation, Davos
DI: NUM, PAT, MOD, MET, STA
EC: ALP
GG: EUA, CH
75
Di Pasquale, C.
A game theory model for food webs: time dependence in a
predator/prey system.
1990, 5: 61-67
KW: graph
DI: THE, MET, WEB, ECO, MOD, PPR
76
Lep<212>, J., Stra<212>kraba, M., Husk, <211>. & Bohc,
J.
Classification of sequences in community ecology - three
case studies.
1990, 5: 69-77
KW: phytoplankton, soil macrofauna, TWINSPAN
DI: THE, VEG, SYS, NCL, ZOO, PLN
EC: WET
GG: EUC, CS, CZ
77
Palmer, M.W.
Spatial scale and patterns of species-environment
relationships in hardwood forest of the North Carolina
Piedmont.
1990, 5: 79-87
KW: geostatistics, self-similarity, fractal, Duke Forest,
calcium, semivariogram, detrending, CCA
DI: NUM, ORD, GRD, PAT, RES
EC: FOR
GG: AMN, US
78
Palmer, M.W.
Spatial scale and patterns of vegetation, flora and
species richness in hardwood forests of the North
Carolina piedmont.
1990, 5: 89-96
KW: Monte Carlo, floristic pattern, DCA
DI: NUM, ORD, PAT, DIV
EC: FOR
GG: AMN, US
79
Bouxin, G.
The measurement of horizontal patterns in vegetation: a
review and proposals for models.
1990, 5: 97-112
KW: distance, non-parametric test, plurispecific,
monospecific, sampling, dispersion index, contagion index
DI: NUM, THE, VEG, PAT, STA, MOD
80
Carnevale, N.J. & Torres, P.S.
The relevance of physical factors on species distribution
in inland salt marshes (Argentina).
1990, 5: 113-120
KW: canonical correlations, interspecific competition,
physical factors, plasticity
DI: GRD, ORD, NUM, COM, AUT
EC: SAL
GG: ALT, AR
81
Luboobi, L.S.
A population of insects infesting a stored quantity of
wheat.
1990, 5: 121-124
KW: Sitophilus, Triticum, weevils, critical food ration,
delay differential equations
DI: POP, INT, MOD
82
Li Dianmo & Chen Xiaofeng
Forest pest management strategies based on community
models.
1990, 5: 125-129
KW: pest-host interaction, pine tree, pine caterpillar
DI: SIL, MOD, THE, ENV, INT, ZOO, MAT, COM
83
Szathmry, E., Hegeds, C., Nmeth, G., Molnr, I. &
Vida, G.
The engangement of the Red Queen and King Midas in the
phylogenerator model.
1990, 5: 131-141
KW: cladograms, ecological interactions, coevolution,
extinction, simulation, speciation
DI: EVO, THE, MOD, GEN, DIV, CLA
84
Cabrera-Febola, W.
Model of the spatial structure of rocky shore
communities.
1990, 5: 143-147
KW: Ancona beach, lattices, spatial distribution, Hasss
diagram
DI: MOD, PAT, THE, MAT, ECO, COM
85
Kenkel, N.C.
Spatial competition models for plant populations.
1990, 5: 149-158
KW: Dirichlet, Picea, forestry, neighbour, nucleation,
process, tessellation, Delaunay triangulation
DI: COM, THE, PAT, NUM, POP, MET
EC: BOR
GG: AMN, CA
86
Yu, S.X. & Orlci, L.
On niche overlap and its measurement.
1990, 5: 159-165
KW: similarity, Cryptocarya forest, Dinghushan
DI: COM, RES, NUM, NCL, THE, VEG, ECO
EC: FOR, TRO
GG: ASE, CN
87
Anonymous
Report on Methods and Models in Landscape Ecology.
1990, 5: 166
KW: ICE project, CETA, Gorizia, meeting
DI: EDU, VEG, HIS, MOD, MET, ECO, LAN
GG: EUS, IT
88
Bredenkamp, G.J. & Theron, G.K.
The vegetation of the fersiallitic soils of the Manyeleti
Game Reserve.
1990, 5: 167-175
KW: conservation area, edaphic gradient, Transvaal
Lowveld
DI: SYS, NUM, ORD, GRD, PED, CON
EC: SAV
GG: AFS, ZA
89
Conley, W.
An "Institute for Theoretical Ecology" - Part I: What is
"theoretical ecology" and why do we need it?
1990, 5: 177-179
KW: statistical ecology, mathematical ecology, research
funding
DI: SCI, HIS, EDU, THE, ECO, NUM, STA, MAT
90
Editors
From the editors of Coenoses.
1991, 6: 1
KW: editorial
DI: SCI, HIS, BIB
GG: EUS, IT
91
Camiz, S.
Reflections on spaces and relationships in ecological
data analysis: effects, problems, possible solutions.
1991, 6: 3-13
KW: horseshoe, CCA, PCA, NMDS
DI: NUM, ORD, VEG, THE, MET
92
Qiong Gao
The minimum description length principle as applied to
multivariate clustering analysis with isodata.
1991, 6: 15-20
DI: NUM, VEG, MUL, NCL, THE, MET
93
Acosta, A., Daz, S. & Cbido, M.
Patch structure in natural grasslands of Crdoba
Mountains (Argentine) in relation to different rock
substrates.
1991, 6: 21-27
KW: community pattern, montane grasslands, patchiness,
TWINSPAN, DCA
DI: DIV, SYS, NCL, NUM, ORD
EC: GRA
GG: ALT, AR
94
Palmer, A.R.
Vegetation/environment relationships in the central area
of the Cape Midlands, South Africa.
1991, 6: 29-38
KW: karoo, rainfall, altitude, PCA
DI: SYS, NUM, ORD, CLI, PED
EC: ARI
GG: AFS, ZA
95
Estabrook, G.F.
The size of nature reserves and the number of long lived
plant species they contain.
1991, 6: 39-45
KW: natural area, species richness, reserve size, stress
tolerance, recursion
DI: DIV, CON, THE, ISL
96
Franceschi, E.A. & Lewis, J.P.
Early stages in the Paran River tall grassland recovery
after an extraordinary flood.
1991, 6: 47-52
KW: catastrophic events, community regeneration, Panicum
prionitis
DI: DIT, VEG, DYN, ORD, SYS, NCL
EC: SAV
GG: ALT, AR
97
Conley, W.
An Institute for Theoretical Ecology? Part II: The
concept of "Center" - critique and a new design.
1991, 6: 53-60
KW: mathematical ecology, research funding, inter-disciplinary research
DI: THE, VEG, MAT, STA, EDU, SCI, ECO
98
Feoli, E. & Orlci, L.
The properties and interpretation of observations in
vegetation study.
1991, 6: 61-70
DI: THE, VEG, PAT, INF, NUM, NCL, ORD, MET
99
Cavallini, F.
Parameter-dependent equilibria in dynamic models of
ecological communities. A qualitative approach with
MACSYMA programs.
1991, 6: 71-78
KW: Jacobian matrix, qualitative modelling, symbolic
computation, qualitons
DI: ECO, MOD, STB, MAT, THE
100
Moskt, C.
Multivariate plexus concept in the study of complex
ecological data: an application to the analysis of bird-
habitat relationships.
1991, 6: 79-89
KW: community structure, NMDS, plexus diagram
DI: MUL, NUM, ORD, ZOO, RES
GG: EUC, HU
101
Mazzoleni, S., French, D.D. & Miles, J.
A comparative study of classification and ordination
methods on successional data.
1991, 6: 91-101
KW: PCA, TWINSPAN
DI: SYS, ORD, NUM, VEG, DYN
EC: HEA
GG: EUW, GB
102
Orlci, L.
On character-based plant community analysis: choice,
arrangement, comparison.
1991, 6: 103-107
KW: New Mexico
DI: NUM, VEG, THE, INF
EC: DES
GG: AMN, US
103
Conley, W.
An Institute for Theoretical Ecology? Part III: Why we
need it and what it should be like.
1991, 6: 109-112
DI: THE, ECO, EDU, SCI
104
Conley, W.
An Institute for Theoretical Ecology? Part IV:
"Computational workshops": a planned activity for
theoretical ecology.
1991, 6: 113-120
KW: mathematical ecology, research funding,
interdisciplinary research
DI: THE, ECO, NUM, MAT, STA, SCI, EDU
105
Bradbury, R.H.
Understanding Acanthaster.
1991, 6: 121-126
KW: Acanthaster planci, crown-of-thorns starfish,
outbreaks
DI: POP, DYN, COM
EC: COR
GG: AU
106
Zerihun Woldu
Implications of photosynthetic pathways of some grass
species in Ethiopia to landuse.
1991, 6: 127-130
KW: Andropogoneae, zone
DI: PHY, GRB, GEO, PHO, LAN
EC: ARI
GG: AFE, ET
107
Palmer, A.R.
The potential vegetation of the upper Orange river, South
Africa: concentration analysis and its application to
rangeland assessment.
1991, 6: 131-138
KW: rainfall, altitude, Grewio-Rhoetalia erosae,
Pentzietea incanae
DI: SYS, CLI, GRD, MAP, NUM
EC: ARI
GG: AFS, ZA
108
Mueller-Dombois, D.
Stand demography and vegetation change.
1991, 6: 139-141
KW: Hawaii, senescence, Shimagare, Galpagos,
Metrosideros
DI: POP, DYN, DEM, THE, VEG, ISL
EC: TRO, VOL, BOR
GG: PAC, US, ASE, JP, ALE, EC
109
Kenkel, N.C.
A weighted tesselation model for studying plant
population dynamics.
1991, 6: 143-149
KW: Delaunay, Dirichlet, Fraser
DI: THE, ECO, PAT, NUM, POP, DYN
110
Hauser, M. & Mucina, L.
Spatial interpolation methods for interpretation of
ordination diagrams.
1991, 6: 151-168
KW: kriging, residual, TSA
DI: THE, VEG, MET, NUM, PAT, ORD
EC: FOR, BOR, GRA, DUN
GG: EUA, AT, EUW, NL
111
Spitaleri, R.M., Napoleone, I. & Contoli, L.
A numerical approach for the evaluation of biotopes for
conservational purposes.
1991, 6: 169-171
KW: policy, ranking, NMDS
DI: NUM, ORD, CON, DIV, THE, MET
112
Conley, W. & Brunt, J.W.
An Institute for Theoretical Ecology? Part V: Practical
data management for cross-site analysis and synthesis of
ecological information.
1991, 6: 173-180
KW: data management, interdisciplinary research
DI: THE, ECO, EDU, STA, NUM, MAT
113
Conley, W., Conley, M.R. & Karl, T.R.
A computational study of episodic events and historical
context in long-term ecological processes: climate and
grazing in the northern Chihuahuan Desert.
1992, 7: 1-19
KW: climate trends, desert climate, desertification,
domestic livestock, jackknifing, Monte Carlo, perennial
desert grasslands, precipitation, shrub increase,
temperature, time series analysis, NMDS
DI: CLI, GRB, NUM, VEG, DYN, ORD, GRD
EC: DES, ARI
GG: AMN, US
114
Fekete, G.
The holistic view of succession reconsidered.
1992, 7: 21-29
KW: deterministic, extrazonal, holism, primary
succession, reductionism, series, stochastic succession,
zonal, Festuco-Brometea, Festuca vaginata grassland,
Quercetalia pubescentis, Querco-Fagetea, Rhamno-Prunetea
DI: THE, VEG, DYN
EC: DUN, GRA, FOR
GG: EUC, HU
115
Lagonegro, M., Hull, V., Falcucci, M. & Cignini, I.
Simulating aquatic systems: a model of ecological
processes.
1992, 7: 31-54
KW: simulation, nitrogen, zooplanton
DI: MOD, PLN, NUT, MAT, THE
EC: AQU
116
Garca, A., Carlos, G. & Bermudez, F.F.
Vegetation, soil and management relations in meadow
communities of the Valdeon Valley, Cordillera Cantbrica,
Spain.
1992, 7: 55-60
KW: deficiency, floristic, haying, soil chemicals
DI: PED, CLI, ENV, NUM, DIV, ORD
EC: GRA
GG: EUW, ES
117
Guillet, A. & Moll, E.J.
Structural and biogeographical patterns of vegetation in
equatorial Sudan. I. Terrestrial communities.
1992, 7: 61-73
KW: mosaic, national park, TWINSPAN
DI: GEO, SYS, NUM, NCL, PED, CON
EC: ARI, SAV
GG: AFN, SD
118
Guillet, A. & Moll, E.J.
Structural and biogeographical patterns of vegetation in
equatorial Sudan. II. Physiognomic trends.
1992, 7: 75-80
KW: TWINSPAN
DI: SYS, GEO, STR, NUM, ORD
EC: ARI, SAV
GG: AFN, SD
119
Feoli, E. & Zuccarello, V.
Fuzzy sets and structural changes in forest succession:
an example from broad leaved forests of N.E. Italy.
1992, 7: 81-90
KW: Fagus, kriging, Ostrya, Quercus, trajectories
DI: NUM, ORD, INF, VEG, DYN, IND, STR
EC: FOR
GG: EUS, IT
120
Wildi, O.
On the use of Mantel's statistic and flexible shortest
path adjustment in the analysis of ecological gradients.
1992, 7: 91-101
KW: non-linearity, site factors, spatial analysis, pH
DI: GRD, THE, VEG, MET, PAT, ORD, NUM, HYD, PED
121
Niven, B.S.
Formalization of some basic concepts of plant ecology.
1992, 7: 103-113
KW: resource, associate, modifier, malentity
DI: THE, ECO, TER, PPR, COM
122
Chengyong Sun, Feoli, E. & Lagonegro, M.
Measuring climatic niche width and overlap of vegetation
types of China.
1992, 7: 115-119
KW: dynamic spaces, hypervolume, niche space, Procrustes
analysis, static spaces, trajectory, minimum spanning
tree
DI: CLI, COM, NUM, VEG,GEO
GG: ASE, CN
123
Yu, S.X. & Orlci, L.
Niche breadth: an index of species environmental fitness.
1992, 7: 121-125
KW: Cryptocarya, congruence, performance, tolerance range
DI: NUM, AUT, POP, RES, INF
EC: TRO
GG: ASE, CN
124
Bailey, R.C.
Hierarchical analysis of community and habitat structure.
1992, 7: 127-135
KW: freshwater mussels, nested ANOVA, ANCOVA, PCA
DI: PAT, NUM, THE, ZOO, STA, ORD
EC: LAC
GG: AMN, CA
125
Jianguo Wu
Detecting spatial patterns: the net-function
interpolation.
1992, 7: 137-143
KW: Inner Mongolia, net function interpolation method,
populational distribution
DI: PAT, POP, THE, MET, NUM
EC: GRA
GG: ASE, CN
126
Pucheta, E., Daz, S. & Cbido, M.
The effect of grazing on the structure of a high plateau
grassland in central Argentina.
1992, 7: 145-152
KW: morphological group, pampa, DCA, TWINSPAN
DI: GRB, DIT, MOR, NUM, ORD, NCL
EC: GRA
GG: ALT, AR
127
Hill, M.O.
Modelling vegetation succession in abandoned arable
fields in Britain.
1992, 7: 153-159
KW: initial floristic composition, old field, projection
matrix, set-aside, successional model
DI: VEG, DYN, MOD, VEG
EC: SEG
GG: EUW, GB
128
Feoli, E. & Lagonegro, M.
Testing for elliptical clusters in ecological
multidimensional spaces.
1992, 7: 161-167
KW: niche
DI: THE, VEG, NUM, MET, MUL, ORD, NCL
129
Scheuring, I.
A population dynamical description of the self-thinning
law.
1992, 7: 169-174
KW: canopy closure dynamics, differential equation
system, even-aged plants, parameter estimation
DI: POP, DYN, THE, COM, NUM, MOD, DEM
130
Xiaoshuang He
Structural characteristics of forest vegetation in the
northeastern Lesser Xingan Mountains, China.
1992, 7: 175-180
KW: equitability, dominance, importance value, zonation
DI: STR, DIV, VEG, DYN, NUM, ORD
EC: FOR, BOR
GG: ASE, CN
131
Menghi, M., Cbido, M., Acosta, A., Peco, B. & Pineda,
F.D.
Changes in pasture communities subject to burning in the
Crdoba Mountains, Argentina.
1993, 8: 1-10
KW: Central Argentina, mountain areas, pasture, spatial
niche, succession, correspondence analysis
DI: VEG, DYN, COM, GMO, MUL, NUM, ORD, FIR, DIT
EC: GRA
GG: ALT, AR
132
Crispi, G. & Mosetti, R.
Adjoint estimation of aquatic ecosystem parameters.
1993, 8: 11-14
KW: spatial niche, succession, correspondence analysis,
calibration, differential equations
DI: GMO, GRB, MUL, VEG, DYN, NUM, COM, ORD
EC: GRA
GG: ALT, AR
133
McClellan, Y. & Boecklen, W.J.
Plant mediation of ant-herbivore associations: the role
of sticky rings formed by Boerhavia spicata.
1993, 8: 15-20
KW: Chihuahuan Desert, ant-aphid-plant associations,
herbivory, plant physical defenses
DI: ANT, INT, ZOO, GRB
EC: DES, ARI
GG: AMN, US
134
Dale, M.R.T., Henry, G.H.R. & Young, C.
Markov models of spatial dependence in vegetation.
1993, 8: 21-24
KW: Ellesmere Island, goodness-of-fit, meadows, transect
DI: VEG, MOD, PAT
EC: ARC
GG: AMN, CA
135
Novotny, V.
What can be inferred from species diversity indices?
1993, 8: 25-26
KW: community indices
DI: DIV, THE, COM
136
Vetaas, O.R.
Effect of spatial arrangement of environmental variables
on ordination results from a disturbed humidity gradient
in northeastern Sudan.
1993, 8: 27-37
KW: arch-effect, detrending, constrained ordination,
partial ordination, non-linearity, spatial independence,
DCA
DI: ORD, GRD, NUM, DIT
EC: ARI
GG: AFN, SD
137
Rousseau, R. & Van Hecke, P.
Introduction of a species does not necessarily increase
diversity.
1993, 8: 39-40
KW: dominance, Lorenz curve
DI: DIV, THE, COM
138
Fabricius, K.E. & Dale, M.B.
Multispecies associations of symbionts on shalow water
crinoids of the central Great Barrier Reef.
1993, 8: 41-52
KW: Friedman-Rafsky test, host species, minimum spanning
tree, symbiosis
DI: INT, ZOO, ORD, NUM, NCL
EC: COR
GG: AUN
139
De Patta Pillar, V. & Orlci, L.
Taxonomy and perception in vegetation analysis.
1993, 8: 53-66
KW: Chaco, character set, community structure,
congruence, convergence, crisp taxa, divergence,
environmental structure, fuzzy taxa, growth-form, life-
form, randomization test, redundancy
DI: THE, VEG, MET, LIF, NUM, ORD, INF
EC; BOR, ARI
GG: AMN, CA, ALE, BR
140
Pizzolotto, R.
Carabid beetle (Coleoptera, Carabidae) coenoses for
evaluation of faunal resources and impact assessment in
the Aspromonte National Park of Calabria (Italy).
1993, 8: 69-79
KW: zoocoenoses, PCA
DI: ZOO, COM, NUM, NCL, ORD
GG: EUS, IT
141
Sun Ping
On identifying representative variables in ecosystem
studies.
1993, 8: 81-84
KW: PCA
DI: NUM, ORD, THE, ECO
GG: ASE, CN
142
Zupo, V.
The use of feeding indices for the study of food webs: an
application to a Posidonia oceanica ecosystem.
1993, 8: 85-95
KW: Ischia, trophic group, food preference
DI: WEB, MUL, NCL, NUM, ORD, MAR
EC: SEA
GG: EUS, IT
143
Camiz, S.
Computer assisted procedures for structuring community
data.
1993, 8: 97-104
KW: AOC, canonical contingency table, cluster analysis,
correspondence analysis, eigenanalysis, exploratory
analysis, table structuring
DI: THE, MET, NUM, NCL, MUL, ORD
144
Chang Hsin-Shih & Yang Dian-an
A study on climate-vegetation interaction in China: the
ecological model for global change.
1993, 8: 105-119
KW: DCA, information systems, topography
DI: CLI, NUM, GEO, ORD, VEG
GG: ASE, CN
145
De Leo, G.A. & Ferrari, I.
Disturbance and diversity in a river zooplankton
community: a neutral model analysis.
1993, 8: 121-129
KW: rotifers
DI: ZOO, PLN, DIT, DIV, MOD
EC: FLU
GG: EUS, IT
146
Levins, R. & Adler, G.H.
Differential diagnostics of island rodent populations.
1993, 8: 131-139
KW: rodens, signed diagraphs, time averaging
DI: ISL, POP, THE, DYN, ZOO
147
Orlci, L.
Conjectures and scenarios in recovery study.
1993, 8: 141-148
KW: chaos, edges, phases, scale, steady state, Jornada,
Arizona, Sonora Desert
DI: THE, VEG, PAT, DYN, NUM, ORD, GRD
EC: DES, ARI
GG: AMN, US
148
Kiflemariam, M.
Dialectics of biological dimensionality and biological
diversity.
1993, 8: 149-158
KW: biodiversity, disparative systems
DI: THE, ECO, DIV, ENV, PHI, ENE
GG: AFE, ET, ER
149
Yu, S.X. & Orlci, L.
Index of species environmental fitness: the niche
breadth.
1993, 8: 159-164
KW: Dinghushan, minimum discrimination information
statistics
DI: THE, ECO, AUT, MET, NUM, INF, COM
EC: TRO
GG: ASE, CN
150
Dale, M.B. & Dale, P.T.
Classification with multiple dissimilarity matrices.
1994, 9: 1-13
KW: constrained classification, multiple-objective
optimisation, pareto optimality, NMDS, correspondence
analysis, scale, sampling, fuzzy
DI: NUM, MUL, MET, RES, NCL, ORD, THE, VEG
151
Escudero, A., Pajarn, S. & Gaviln, R.
Saxicolous communities in the Sierra del Moncayo (Spain):
a classificatory study.
1994, 9: 15-24
KW: comparison of dendrograms, consensus tree,
phytosociology, Asplenietea trichomanis, PCA
DI: SYS, NUM, NCL, ORD
EC: CHA
GG: EUW, ES
152
Feoli, E. & Zuccarello, V.
Naivet of fuzzy system spaces in vegetation dynamics?
1994, 9: 25-32
DI: NUM, MET, NCL, ORD, VEG, DYN, THE
EC: FOR
GG: EUS, IT
153
Tthmrsz, B.
Statistical analysis of spatial pattern in plant
communities.
1994, 9: 33-41
KW: beech forest, characteristic plot size, complete
spatial randomness, null model, shrub community, species-
area relationship, species richness, Querco-Fagetea,
Fagion, Melico-Fagetum, comparative area, discriminatory
area
DI: NUM, PAT, DIV, THE, VEG, MET
EC: FOR
GG: EUC, HU
154
Dale, M.
Straightening the horseshoe: a Riemannian resolution?
1994, 9: 43-53
DI: NUM, THE, VEG, ORD, RES
155
Izsk, J. & Papp, L.
Numerical properties of jackknifed diversity indices
tested on loose sets of coenological samples (Diptera,
Drosophilidae).
1994, 9: 59-67
KW: Hill, Shannon-Wiener, confidence intervals,
drosophilid assemblages, index sensitivity, significance
tests
DI: DIV, NUM, THE, ZOO, COM, STA
GG: EUC, HU
156
Orlci, L.
Global warming: the process and its anticipated
phytoclimatic effects in temperate and cold zone.
1994, 9: 69-74
DI: CLI, DIT, PHY, GEO
EC: ALP, ARC
GG: AMN, CA, US, PAC
157
Palmer, A.R. & Orlci, L.
A contingency table model of vegetation: the mapping
problem.
1994, 9: 75-79
KW: canonical analysis, distribution, elevation, karoo,
rainfall, topo-moisture
DI: NUM, CLI, MUL, MET, GRD, POP
EC: ARI
GG: AFS, ZA
158
Xiaoshuang He & Shaoquan Nie
Canonical contingency table analysis of the vegetation
along elevation gradients of the Greater Xingan
Mountains, China.
1994, 9: 93-100
DI: NUM, VEG, ORD, GRD, GEO
EC: BOR
GG: ASE, CN
159
LoBue, G., Montacchini, F. & Ceruti, A.
Macromycetes of the alpine belt: mycocoenological
investigations in the Western Italian Alps bymultivariate methods.
1994, 9: 103-153
KW: alpine fungi, mycocoenology, phytosociology,
Thlaspietea rotundifolii, Caricetea curvulae, Salicetea
herbaceae
DI: MYC, IND, SYS, NUM, NCL, ORD
EC: ALP, GRA, NIV, CHA
GG: EUS, IT
160
Uddin, M., Atiqullah, M. & Shaukat, S.S.
Sweep-out component analysis as an ordination model: an
alternative to principal component analysis.
1994, 9: 155-158
KW: varimax rotation, PCA
DI: THE, MET, NUM, MUL, ORD
161
Menghi, M. & Herrera, M.
Major vegetational trends related to relief and hydrology
in the Mar Chiquita wetlands.
1995, 10: 1-10
KW: inland wetland, hydro-topographical gradient,
physiognomic change, DCA
DI: VEG, NUM, ORD, DYN, GRD, HYD, LIF, STR
EC: WET
GG: ALT, AR
162
Torres, P.S., Barberis, I.M. & Lewis, J.P.
Robustness of numerical methods for vegetation
classification.
1995, 10: 11-16
KW: clustering, similarity
DI: THE, VEG, MET, NUM, NCL, RES
163
Moraczewski, I.R., Borkowski, W. & Kierzek, A.
Clustering geobotanical data with the use of a genetic
algorithm.
1995, 10: 17-28
KW: cluster analysis, genetic algorithm, partitioning
DI: THE, VEG, NUM, NCL, MET, SYS
164
Fekete, G., Tuba, Z. & Prcsnyi, I.
Application of three approaches to evaluate abundance and
rarity in a sand grassland community.
1995, 10: 29-38
KW: C4 plants, dominance, Festuca vaginata grassland,
generalists, mesophyll succulence, net photosynthesis,
niche width, niche overlap, specialists, water use
efficiency, Festuco-Brometea
DI: COM, DIV, PHY, LIF, WAT, MOR, PHO, NUM, NCL
EC: DUN, GRA
GG: EUC, HU
165
Pausas, J.G. & Feoli, E.
Environment-vegetation relationships in the understory of
Pyrennean Pinus sylvestris forests: I. An ordination
approach.
1995, 10: 39-44
KW: CCA, correspondence analysis, normalization,
understory, Pino-Juniperetea, PCA
DI: NUM, ORD, PED
EC: FOR
GG: EUW, ES
166
Geielbrecht, J., Mucina, L. & Hiebinger, C.K.
A Monte Carlo randomisation procedure for estimating the
synchronity of growth-curves in plant-demography studies.
1995, 10: 45-49
KW: Anthyllis vulneraria, Globularia punctata, leaf
natality and mortality, population dynamics, synchronity
of processes
DI: THE, POP, DYN, DEM, MET, NUM, MAT
EC: GRA
GG: EUA, AT
167
Orlci, L.
Preface: special statistical ecology issue.
1995, 10: 53
KW: Manchester, Yale, editorial
DI: THE, ECO, STA, NUM, HIS
GG: AMN, US
168
Anonymous
Profile: Guest Editor, Professor G.P. Patil.
1995, 10: 55-56
KW: Pennsylvania, editorial
DI: WHO, HIS, ECO, STA, NUM
GG: AMN, US
169
Patil, G.P.
Silver jubilee of statistical ecology around the world.
1995, 10: 57-64
KW: Manchester
DI: THE, ECO, HIS, STA, NUM
170
Patil, G.P.
Penn State statistical ecology and environmental
statistics - 25 years.
1995, 10: 65-74
KW: Center for Statistical Ecology and Environmental
Statistics, ecological statistics, environmental risk
assessment, graduate quantitative ecology program,
observational economy, spatial statistics, Pennsylvania
DI: THE, ECO, STA, NUM, PAT, MET, EDU
GG: AMN, US
171
Ghosh-Dastidar, M., Johnson, G., Norris, R., Orsin, J. &
Shirk, S.
On cross-disciplinarity of a statistical ecology and
environmental statistics classroom at Penn State.
1995, 10: 75-79
KW: environmental science, multidisciplinarity,
Pennsylvania
DI: THE, ECO, STA, NUM, MET, EDU
GG: AMN, US
172
Johnson, G.D. & Patil, G.P.
Estimating statewide species richness of breeding birds
in Pennsylvania.
1995, 10: 81-87
KW: covariate-directed sampling, species richness
estimation, species area curve
DI: STA, NUM, ZOO, MET, DIV
GG: AMN, US
173
Myers, W.L., Johnson, G.D. & Patil, G.P.
Rapid mobilization of spatial/temporal information in the
context of natural catastrophes.
1995, 10: 89-94
KW: environmental resources, GIS, ranked set sampling,
rapid assessment
DI: MET, THE, STA, GEO, REM, DIT
174
Norris, R.C., Patil, G.P. & Sinha, A.K.
Estimation of multiple characteristics by ranked set
sampling methods.
1995, 10: 95-111
KW: concomitant variable, environmental sampling, simple
random sampling, stratified sampling, unequal allocation
DI: THE, ECO, STA, NUM, MET
175
Kaur, A., Gregori, D., Patil, G.P. & Taillie, C.
Assessment of aquatic systems toxicity using generalized
linear models and quasi-likelihood techniques.
1995, 10: 113-121
KW: generalized estimating equations, toxicity assessment
DI: ECO, ENV, TOX, STA, POL, WAT, MOD, THE
176
Johnson, G.D., Tempelman, A. & Patil, G.P.
Fractal based methods in ecology: a review for analysis
at multiple spatial scales.
1995, 10: 123-131
KW: multiscale analysis
DI: THE, ECO, PAT, NUM, IND, LAN
177
Urfer, W. & Schwarzenbach, F.H.
Analysis of arctic mountain vegetation: diversity and
vertical distribution.
1995, 10: 133-140
KW: species presence index, vegetation line, vertical
distribution
DI: MET, VEG, DIV, GEO
EC: ARC
GG: ATN, GL
178
Patil, G.P.
Environmental and Ecological Statistics: an innovative
cross-disciplinary journal for statistics, ecology, and
the environment.
1995, 10: 141-148
DI: STA, NUM, MOD, MET, SCI, ECO, ENV
Authors Index
Acosta, A. - 55 93 131
Adler, G.H. - 49 146
Andr, H.M. - 27
Anonymous - 87 168
Atiqullah, M. - 160
Bailey, R.C. - 124
Banyikwa, F.F. - 61
Barberis, I.M. - 162
Bartoli, A. - 26
Beatrice, M. - 6
Bermudez, F.F. - 116
Biondini, M.E. - 37
Boccanelli, S.I. - 15
Bodini, A. - 67
Boecklen, W.J. - 133
Bohc, J. - 76
Booth, T. - 12
Borchert, M. - 14
Borkowski, W. - 163
Boryslawski, Z. - 64
Bouxin, G. - 79
Bradbury, R.H. - 105
Bredenkamp, G.J. - 18 88
Brunt, J.W. - 112
Cbido, M. - 93 126 131
Cabrera-Febola, W. - 84
Camiz, S. - 23 91 143
Carleton, T.J. - 31
Carlos, G. - 116
Carnevale, N.J. - 15 80
Cavallini, F. - 99
Ceruti, A. - 159
Chang Hsin-Shih - 144
Chen Xiaofeng - 82
Cignini, I. - 115
Ck, V. - 29
Conde, L. - 9
Conley, M.R. - 113
Conley, W. - 89 97 103 104 112 113
Contoli, L. - 111
Crispi, G. - 132
Czrn, T. - 56
Dale, M. - 33 154 (6 22 138 150)
Dale, M.B. - 6 22 138 150 (33 154)
Dale, M.R.T. - 134
Dale, P.T. - 150
Davis, F.W. - 14
De Leo, G.A. - 145
De Patta Pillar, V. - 139
Di Pasquale, C. - 75
Daz, S. - 55 93 126
Dulov, M. - 45
Editors - 21 90
Egziabher, T.B.G. - 47
Escudero, A. - 151
Estabrook, G.F. - 95
Fabricius, K.E. - 138
Falcucci, M. - 115
Fekete, G. - 114 164
Feoli, E. - 3 8 20 28 35 98 119 122 128 152 165
Ferrari, C. - 6
Ferrari, I. - 145
Fewster, P.H. - 17
Fischer, H.S. - 72
Franceschi, E.A. - 44 96
French, D.D. - 101
Ganesalingam, S. - 70
Ganis, P. - 8 28
Garca, A. - 116
Gaviln, R. - 151
Geielbrecht, J. - 166
Ghosh-Dastidar, M. - 171
Giavelli, G. - 67
Goodall, D.W. - 1 20 66
Gregori, D. - 175
Guillet, A. - 117 118
Hatton, T.J. - 73
Hauser, M. - 110
Hegeds, C. - 83
Henry, G.H.R. - 134
Herben, T. - 34
Herrera, M. - 161
Hiebinger, C.K. - 166
Hill, M.O. - 127
Hinch, S.G. - 11
Hull, V. - 25 115
Husk, <211>. - 76
Izsk, J. - 155
Jain, R.K. - 71
Jancey, R.C. - 13 40
Jianguo Wu - 125
Johnson, G. - 171
Johnson, G.D. - 172 173 176
Karl, T.R. - 113
Kaur, A. - 175
Kenkel, N.C. - 2 12 30 46 48 65 85 109
Kierzek, A. - 163
Kiflemariam, M. - 148
Kostoris, A. - 38
Krusinska, E. - 64
Lachance, M.A. - 4
Lagonegro, M. - 25 115 122 128
Landa, V. - 42
Lausi, D. - 3
Lep<212>, J. - 42 76
Levins, R. - 36 146
Lewis, J.P. - 15 96 162
Li Dianmo - 82
Li<212>ka, J. - 34
Lloyd, R. - 9
LoBue, G. - 159
Luboobi, L.S. - 81
Margalef, R. - 57
Marsili-Libelli, S. - 54
Massari, G. - 26
Mazzoleni, S. - 101
McClellan, Y. - 133
Menghi, M. - 131 161
Michaelsen, J. - 14
Mielke, P.W. - 37
Miles, J. - 101
Moll, E.J. - 117 118
Molnr, I. - 83
Montacchini, F. - 159
Moraczewski, I.R. - 163
Mosetti, R. - 132
Moskt, C. - 100
Mucina, L. - 29 110 166
Mueller-Dombois, D. - 108
Myers, W.L. - 173
Napoleone, I. - 111
Neet, C.R. - 59
Nmeth, G. - 83
Nimis, P.L. - 3
Niven, B.S. - 52 58 121
Norris, R. - 171 (174)
Norris, R.C. - 174 (171)
Novotny, V. - 135
Okli, I. - 45
Orlci, L. - 3 16 43 86 98 102 123 139 147 149 156 157
167
Orsin, J. - 171
Pajarn, S. - 151
Palmer, A.R. - 94 107 157
Palmer, M.W. - 77 78
Papp, L. - 155
Patil, G.P. - 9 169 170 172 173 174 175 176 178
Pausas, J.G. - 165
Peco, B. - 131
Petrakis, P. - 24
Pineda, F.D. - 131
Pizzolotto, R. - 140
Podani, J. - 10 32 39 69
Prcsnyi, I. - 164
Puccia, C.J. - 36 68
Pucheta, E. - 126
Qiong Gao - 92
Redente, E.F. - 37
Reich, R.M. - 50
Rinaldi, M.G. - 51
Rinaldi, S. - 51
Rossi, O. - 67
Rousseau, R. - 137
Russo, T. - 19
Scheuring, I. - 129
Schwarzenbach, F.H. - 177
Shaoquan Nie - 158
Shaukat, S.S. - 41 63 160
Shirk, S. - 171
Sinha, A.K. - 174
Slavkovsky', P. - 29
Soldn, T. - 42
Somers, K.M. - 11
Spitaleri, R.M. - 111
Starner, W.T. - 4
Stergiou, K.I. - 53
Stofella, S.L. - 7
Stra<212>kraba, M. - 76
Sun Chengyong - 122
Sun Ping - 141
Swindel, B. - 9
Szathmry, E. - 83
Taillie, C. - 9 175
Tempelman, A. - 176
Theron, G.K. - 88
Torres, P. - 15 (80, 162)
Torres, P.S. - 80 162 (15)
Tthmrsz, B. - 153
Tuba, Z. - 164
Uddin, M. - 41 160
Ulanowicz, R.E. - 68
Urfer, W. - 177
Van Hecke, P. - 62 137
Van Tilborgh, T. - 62
van Straaten, D. - 62
Venanzoni, R. - 6
Verheyen, R. - 62
Vetaas, O.R. - 136
Vida, G. - 83
Wells, T.C. - 13
West, N.E. - 73
Wildi, O. - 5 74 120
Wilson, M.L. - 49
Xiaoshuang He - 130 158
Yang Dian-an - 144
Ying-Hen Hsieh - 60
Young, C. - 134
Yu, S.X. - 43 86 123 149
Zerihun Woldu - 28 106
Zuccarello, V. - 35 119 152
Zupo, V. - 142
Index of Scientific Disciplines and Methods
ANT - 133
AUT - 80 123 149
BIB - 90
CLA - 83
CLI - 47 94 107 113 116 122 144 156 157
COM - 19 28 43 56 58 59 68 80 82 84 85 86 105
121 122 129 131 132 135 137 140 149 155 164
CON - 88 95 111 117
COX - 57 67
CRY - 26 34
DEM - 108 129 166
DIS - 14 56
DIT - 55 96 126 131 136 145 156 173
DIV - 9 28 55 57 71 78 83 93 95 111 116 130
135 137 145 148 153 155 164 172 177
DYN - 9 13 25 30 35 36 42 56 67 73 96 101 105
108 109 113 114 119 127 129 130 131 132 146 147 152 161
166
ECO - 28 36 50 52 57 58 59 60 66 67 68 75 84
86 87 89 97 99 103 104 109 112 121 141 148 149 167 168
169 170 171 174 175 176 178
EDU - 2 7 21 46 48 65 87 89 97 103 104 112 170 171
ENE - 68 148
ENV - 47 51 55 82 116 148 175 178
EVO - 3 19 60 83
FIR - 131
GEN - 19 83
GEO - 8 12 44 72 106 117 118 122 144 156 158 173 177
GMO - 61 62 131 132
GRB - 55 106 113 126 132 133
GRD - 1 11 15 16 28 35 43 44 56 61 77 80 88
107 113 120 136 147 157 158 161
HIS - 2 7 46 47 48 65 87 89 90 167 168 169
HUM - 47
HYD - 25 53 120 161
IND - 119 159 176
INF - 4 10 14 20 32 98 102 119 123 139 149
INT - 36 49 81 82 133 138
ISL - 49 67 95 108 146
LAN - 72 87 106 176
LIC - 34
LIF - 8 139 161 164
MAP - 72 107
MAR - 53 71 142
MAT - 46 52 60 82 84 89 97 99 104 112 115 166
MET - 6 16 20 22 26 27 32 33 37 38 39 50 53 59
63 69 70 73 74 75 85 87 91 92 98 110 111 120 125 128 139
143 149 150 152 153 157 160 162 163 166 170 171 172 173
174 177 178
MIC - 4
MOD - 1 3 9 11 17 19 25 33 36 50 51 60 65 66
67 68 72 74 75 79 81 82 83 84 87 99 115 127 129 134 145
175 178
MOR - 8 126 164
MUL - 3 6 7 10 12 13 22 23 24 27 30 31 32 33
34 35 37 39 40 42 44 53 54 69 70 92 100 128 131 132 142
143 150 157 160
MYC - 26 159
NCL - 1 10 13 14 20 22 23 24 27 29 30 31 31 32
33 34 39 40 42 44 54 63 69 70 76 86 92 93 96 98 117 126
128 138 140 142 143 150 151 152 159 162 163 164
NUM - 1 2 3 4 5 6 7 8 10 11 12 13 14 15 16 17
19 20 21 22 23 24 25 27 30 31 32 33 34 35 37 38 39 40 41
42 43 44 45 46 48 50 53 54 61 62 63 65 69 70 73 74 77 78
79 80 85 86 88 89 91 92 93 94 98 100 101 102 104 107 109
110 111 112 113 116 117 118 119 120 122 123 124 125 126
128 129 130 131 132 136 138 139 140 141 142 143 144 147
149 150 151 152 153 154 155 157 158 159 160 161 162 163
164 165 166 167 168 169 170 171 172 174 176 178
NUT - 51 115
ORD - 1 4 6 10 11 12 15 16 17 23 24 27 29 30
31 32 35 41 42 43 44 55 61 73 77 78 80 88 91 93 94 96 98
100 101 110 111 113 116 118 119 120 124 126 128 130 131
132 136 138 139 140 141 142 143 144 147 150 151 152 154
158 159 160 161 165
PAT - 8 10 26 29 32 50 56 62 74 77 78 79 84 85
98 109 110 120 124 125 134 147 153 170 176
PED - 15 16 29 43 88 94 116 117 120 165
PHI - 148
PHO - 54 106 164
PHY - 54 106 156 164
PLN - 25 76 115 145
POL - 175
POP - 29 30 36 49 56 60 81 85 105 108 109 123 125 129 146
157 166
PPR - 75 121
REM - 173
RES - 1 6 11 12 13 15 16 17 20 27 28 33 40 59
62 69 77 86 100 123 150 154 162
SCI - 89 90 97 103 104 178
SIL - 38 82
STA - 3 4 6 8 9 11 14 17 21 22 26 30 34 37 38
53 70 73 74 79 89 97 104 112 124 155 167 168 169 170 171
172 173 174 175 178
STB - 51 67 99
STR - 118 119 130 161
SYS - 1 3 18 20 23 35 39 72 76 88 93 94 96 101
107 117 118 151 159 163
TAX - 1
TER - 52 121
THE - 1 3 5 6 8 20 26 28 29 30 32 36 38 50 5256 57 58 59
60 63 66 67 68 69 71 73 75 76 79 82 83 84 85
86 89 91 92 95 97 98 99 102 103 104 108 109 110 111 112
114 115 120 121 124 125 128 129 135 137 139 141 143 146
147 148 149 150 152 153 154 155 160 162 163 166 167 169
170 171 173 174 175 176
TOX - 175
VEG - 1 2 2 3 5 6 7 8 13 18 20 21 28 29 30 32
37 46 48 56 62 63 65 73 76 79 86 87 91 92 96 97 98 101
102 108 110 113 114 119 120 122 127 127 128 130 131 132
134 139 144 147 150 152 153 154 158 161 162 163 177
WAT - 44 164 175
WEB - 75 142
WHO - 48 168
ZOO - 24 27 42 45 49 52 53 58 71 76 82 100 124
133 138 140 145 146 155 172
Geography Index
AFE - 28 47 61 106 148
AFN - 117 118 136
AFS - 18 88 94 107 157
ALE - 108 139
ALT - 7 15 44 55 80 93 96 126 131 132 161
AMN - 9 13 14 17 21 27 49 63 77 78 85 102 113
124 133 134 139 147 156 167 168 170 171 172
ASE - 43 86 108 122 123 125 130 141 144 149 158
ASI - 41
ATN - 177
AU - 105
AUN - 138
EUA - 2 16 72 74 110 166
EUB - 29
EUC - 29 34 39 42 45 76 100 114 153 155 164
EUS - 6 8 20 25 35 46 48 53 87 90 119 140 142 145 152 159
EUW - 62 65 101 110 116 127 151 165
PAC - 108 156
AR - 7 15 44 55 80 93 96 126 131 132 161
AT - 110 166
BE - 62
BG - 29
BR - 139
CA - 13 17 63 85 124 134 139 156
CH - 2 16 72 74
CN - 43 86 122 123 125 130 141 144 149 158
CS - 29 34 42 45 76
CZ - 34 42 76
EC - 108
ER - 148
ES - 65 116 151 165
ET - 28 47 106 148
GB - 101 127
GL - 177
GR - 53
HU - 39 100 114 153 155 164
IT - 6 8 20 25 35 46 48 87 90 119 140 142 145 152 159
JP - 108
NL - 110
PK - 41
SD - 117 118 136
SK - 29 45
TZ - 61
US - 9 14 21 27 49 77 78 102 108 113 133 147
156 167 168 170 171 172
ZA - 18 88 94 107 157
Index of Ecosystems
ALP - 20 35 72 74 156 159
AQU - 25 115
ARC - 134 156 177
ARI - 18 47 94 106 107 113 117 118 133 136 139 147 157
BOR - 9 13 17 85 108 110 130 139 158
CHA - 151 159
COR - 105 138
DES - 41 47 102 113 133 147
DUN - 110 114 164
EPI - 34
FLO - 44
FLU - 42 44 145
FOR - 6 8 9 27 28 43 47 51 77 78 86 110 114 119 130 152
153 165
GRA - 35 39 55 93 110 114 116 125 126 131 132 159 164 166
HEA - 101
LAC - 25 42 124
MES - 14 48
MIR - 16 29 62
NIV - 159
RUD - 29 63
SAL - 6 15 80
SAV - 18 61 88 96 117 118
SEA - 53 71 142
SEG - 127
TRO - 44 47 55 86 108 123 149
URB - 63
VOL - 108
WET - 62 76 161
Keyword Index
abandoned field // 127
abundance // 164
Acanthaster planci // 105
acid deposition // 51
adjoint estimation // 132
algebraic category // 52
alpine belt // 159
alpine fungi // 159
alpine landscape // 72
altitude // 44 94 107 157 158
altruistic // 60
analysis of concentration (AOC) // 32 107 143
Ancona beach // 84
ANCOVA // 124
Andropogoneae // 106
animal niche // 58
ANOVA // 34
ant-aphid-plant // 133
ant-herbivore // 133
Anthyllis vulneraria // 166
approximation // 29
AQUAMOD // 25
aquatic ecosystem // 115 132 175
arable fields // 127
arch-effect // 91 136 154
arctic vegetation // 177
Arizona // 147
Asplenietea trichomanis // 151
Aspromonte National Park // 140
assessment // 38 107 140 170 173 175
associate // 121
association // 20 32 40 62 133 138
association analysis // 32
Auchenorrhyncha // 45
autocorrelation // 8 74
autophenetic // 10
beech forest // 153
beneficial predators // 68
beta diversity // 28
bicubic splines // 29
biocoenotic records // 45
biodiversity // 148
biogeographic // 12 117 118
biological dimensionality // 148
bird-habitat relationships // 100
Blarina // 49
Boerhavia spicata // 133
Bratislava // 45
breeding birds // 172
broad-leaved forests // 119
burning // 131
C4 plants // 164
Calabria // 140
calcium // 77
calibration // 132
California // 14
canonical // 29 43 77 80 91 143 157 158 165
canonical contingency table // 143 158
canonical correspondence analysis (CCA) // 77 91 165
canonical correlations // 80
canopy closure dynamics // 129
Cape Midlands // 94
Carabidae // 140
carbon flows // 68
Caricetea curvulae // 35 159
catastrophe // 44 51 96
catastrophic flood // 44
cellular automata // 56
Center for Statistical Ecology and Environmental
Statistics // 170
central Argentina // 55 126 131
CETA // 87
Chaco // 139
chaos // 147
character set // 3 139
character structure // 3
character-based analysis // 102
characteristic plot size // 153
Chesapeake Bay // 68
chewa // 47
Chihuahuan Desert // 113 133
chorological data // 8
cladograms // 83
classification // 1 27 39 63 69 76 101 150 151 162
classification of sequences // 76
clear-cutting // 9
climate trends // 113
climate-vegetation interaction // 144
climatic niche // 122
cluster concept // 22
clustering // 22 27 39 40 44 54 70 92 143 162 163
co-occurrence patterns // 49
coast line // 71
coenological samples // 155
coevolution // 83
coexistence // 56
cold zone // 156
Coleoptera // 140
collinearity // 53
colonisation // 67
combretaceous deciduous woodland // 47
community // 1 4 5 8 15 23 27 28 29 32 36 39
40 44 46 53 60 76 82 93 96 99 100 102 116 117 124 134 135
139 143 151 153 164
community classification // 27 39
community concept // 4
community data // 143
community descriptor sets // 40
community ecology // 8 32 46 76
community indices // 135
community models // 82
community niche // 28
community pattern // 93
community regeneration // 96
community structure // 100 124 139
comparison // 6 27 32 42 69 101 151 153
comparison of classifications // 27 69
comparison of dendrograms // 151
comparison of fuzzy classifications // 69
comparison of methods // 6 42
comparison of partition // 6
compatibility // 6
competiting populations // 56
competition models // 85
complete linkage clustering (CLC) // 39
complex ecological data // 100
complexity concept // 67
compositional changes // 42
compositional similarity // 6
computational ecology // 21
computational study // 113
computational workshops // 104
computer // 10 30 31 50 143
computer assisted // 143
computerized sampling // 10
concensus // 32
concept cluster // 22
concomitant variable // 174
concordance // 6
confidence intervals // 155
congruence // 123 139
conjecture // 147
connectivity // 57
consensus // 39 69 151
consensus partitions // 39
consensus tree // 151
conservation area // 88
constancy // 6
constrained // 136 150
contagion index // 79
contingency table // 157
controlling factor // 36
convergence // 3 139
Copacabana watershed // 55
Cordillera Cantbrica // 116
Crdoba Mountains // 93 131
correlation // 6 11
correspondence analysis // 32 131 132 143 150 165
cost // 6
covariate-directed sampling // 172
crinoids // 138
crisp taxa // 139
critical food ration // 81
cross-disciplinarity // 171 178
cross-site analysis // 112
cross-validation // 14
crown-of-thorns starfish // 105
Cryptocarya // 43 86 123
cultural ecology // 19
DAPROPHECO // 24
data analysis // 30 32 48
data bank // 24 45
data centering // 11
data entry // 31
data management // 112 112
data reduction // 63 63
data standardization // 11
Davos // 72 74
DBH normality // 38
debtera // 47
deficiency // 116
Delaunay triangulation // 85 109
delay differential equations // 81
dendrograms // 151
density // 36
DENT // 31
desert grasslands // 113
desertification // 113
deterministic // 114
detrending & DCA // 27 42 55 77 78 93 126 136 144 161
diagraphs // 146
dialectics // 148
differential diagnostics // 146
differential equations // 81 129 132
diffusion // 19
dimensionality // 148
Dinghushan // 43 86 149
Diptera // 155
Dirichlet // 85 109
discrimination // 6
discriminatory area // 153
disparative systems // 148
dispersion index // 79
dispersion profiles // 43
dissimilarity matrices // 150
distance // 69 79
distribution // 15 49 72 80 84 157
distribution of plant communities // 72
disturbed humidity gradient // 136
divergence // 3 139
diversity changes // 55
diversity indices // 135 155
diversity of gradients // 28
diversity orderings // 9
diversity profiles // 9
domestic livestock // 113
dominance // 130 137 164
Douglas fir // 9
drosophilid assemblages // 155
Drosophilidae // 155
Duke Forest // 77
dynamic models // 99
dynamic spaces // 122
ecological applications // 66
ecological crisis // 47
ecological data // 14 53 54 91 100
ecological gradients // 120
ecological information // 112
ecological interactions // 83
ecological multidimensional spaces // 128
ecological processes // 113 115
ecological research // 37
ecological statistics // 170
edaphic gradient // 88
edges // 147
editorial // 90 167 168
effect of grazing // 126
effect of predation // 68
eigenanalysis // 23 143
elevation // 44 94 107 157 158
elevation gradient // 44 158
Ellesmere Island // 134
elliptical clusters // 128
empirical applications // 59
environment-vegetation relationships // 165
Environmental and Ecological Statistics // 178
environmental analysis // 35
environmental fitness // 123 149
environmental resources // 173
environmental risk assessment // 170
environmental sampling // 174
environmental science // 171
environmental statistics // 170 171
environmental statistics classroom // 171
environmental structure // 139
environmental variables // 47 136
Ephemeroptera // 42
epidemics // 19
epiphytic lichen distribution // 34
episodic events // 113
equatorial Sudan // 117 118
equilibrium // 51 99
equitability // 130
estimation // 3 10 132 166 172 174
Euclidean space // 37
evaluation of biotopes // 111
even-aged plants // 129
evergreen montane forests // 47
evergreen scrub // 47
evolution of non-genetic traits // 19
experimental evaluation // 11
expert systems // 23
exploratory analysis // 143
extinction // 83
extraordinary flood // 96
extrazonal // 114
factor analysis // 41 53
Fagion // 53 153
Fagus // 119
faunal resources // 140
fecundity function // 60
feeding indices // 142
fersiallitic soils // 88
Festuca vaginata grassland // 114 164
Festuco-Brometea // 114 164
fidelity // 6
fish diversity // 71
flexible gradient analysis // 16
flexible shortest path adjustment // 120
flood // 44 51 96
flora // 78
floristic // 55 78 116 127
floristic changes // 55
floristic composition // 127
floristic pattern // 78
food preference // 142
food webs // 75 142
forest ecosystems // 9
forest pest management // 82
forest succession // 119
forestry // 85
forests // 8 9 47 51 77 78 82 119 130 153 165
formalization // 121
fractals // 77 176
Fraser // 109
freshwater mussels // 124
Friedman-Rafsky test // 138
Friuli // 8
functional definition // 58
fuzzy // 33 35 54 64 69 119 139 150
fuzzy classifications // 69
fuzzy clustering // 54
fuzzy linguistics concept // 64
fuzzy sets // 33 35 119 139 152
fuzzy spaces // 152
fuzzy taxa // 139
Galpagos // 108
game theory model // 75
Gazankulu // 18
generalists // 164
generalized estimating equations // 175
generalized linear models // 175
genetic algorithm // 163 163
geobotanical data // 163
geometry // 22
geostatistics // 77
GIS // 173
global change // 144
global warming // 156
Globularia punctata // 166
goodness-of-fit // 134
Gorizia // 87
graduate ecology program // 170
graph // 22 75
grass species // 106
grassland community // 164
grassland recovery // 96
Great Barrier Reef // 138
Great Rift Valley // 47
Greater Xingan Mountains // 158
Grewio-Rhoetalia erosae // 107
growth-curves // 166
growth-form // 139
habitat structure // 124
halophilous communities // 15
hardwood forests // 77 78
Hasss diagram // 84
Hawaii // 108
haying // 116
herbaceous communities // 44
herbivory // 133
hierachical model // 3
hierarchical analysis // 124
hierarchical relationships // 14
hierarchy // 20
high plateau grassland // 126
highlands // 47
Hill // 155
historical context // 113
historical expression // 57
holistic view // 114
horizontal pattern // 79
horseshoe // 91 136 154
host species // 138
humidity gradient // 136
hydro-topographical gradient // 161
hydrology // 161
hyperspaces // 28
hypervolume // 122
hypothesis testing // 59
IAVS // 48 65
ICE project // 87
impact assessment // 140
importance value // 130
index sensitivity // 155
indirect competition // 68
indirect mutualism // 68
information statistics // 149
information systems // 144
initial floristic composition // 127
initial sample // 70
inland salt marshes // 80
inland wetland // 161
Inner Mongolia // 125
input-output analysis // 68
Insecta // 42 81
Institute for Theoretical Ecology // 89 97 103 104 112
insular distribution // 49
inter-disciplinary research // 97
interaction between traits // 19
interdisciplinary research // 104 112
international workshop // 21 46
interpolation // 29 110 125
interpretation // 22 98 110
interspecific competition // 80
intrinsic diversity orderings // 9
introduction of a species // 137
inventory // 50
Ischia // 142
island rodent populations // 146
isodata // 92
jackknifing // 113 155
Jacobian matrix // 99
Jornada // 147
journal // 178
karoo // 94 157
King Midas // 83
kriging // 29 110 119
Labe Basin // 42
land use // 106
Las Cruces // 21
lattices // 84
leaf mortality // 166
leaf natality // 166
Lecanora // 34
Len // 65
Lesser Xingan Mountains // 130
Levenstein // 33
lichen distribution // 34
life-form // 139
likelihood approach // 70
linear discriminant function // 70
linguistics // 64
locality theory // 13
long-lived plant // 95
long-term ecological processes // 113
loop // 36 49 68
loose sets // 155
Lorenz curve // 137
macchia // 48
Macromycetes // 159
MACSYMA programs // 99
malentity // 121
mammals // 49
management relations // 116
Manchester // 167 169
Mantel's statistic // 120
Manyeleti Game Reserve // 18 88
mapping problem // 157
Mar Chiquita // 161
Markov models // 134
marsh vegetation // 62
mathematical ecology // 46 89 97 104
matrix comparison // 6
maximum likelihood estimates // 70
meadow communities // 116 134
Mediterranean // 48
meeting // 2 7 21 48 65 87
Melico-Fagetum // 153
mesophyll succulence // 164
Metrosideros // 108
microcomputer // 31 50
microphyllous woodlands // 47
microtopography // 62
MINFO // 39
minimum description length principle // 92
minimum discrimination information statistics // 149
minimum length sequence metrics // 69
minimum spanning tree // 122 138
misclassification // 63
mixed forest // 8
mixture // 70
mobilization // 173
model of ecological processes // 115
modifier // 121
monospecific // 79
montane forests // 47
montane grasslands // 93
Monte Carlo // 78 113 166
morphological group // 126
mortality // 166
mosaic // 117
mountain areas // 131
mountain vegetation // 177
multidisciplinarity // 171
multiethnic // 47
multiple characteristics // 174
multiple dissimilarity matrices // 150
multiple objectives // 74
multiple spatial scales // 176
multiple-objective optimisation // 150
multireligious society // 47
multiscale analysis // 176
multispecies associations // 138
multivariate plexus concept // 100
multiway contingency tables // 34
mussels // 124
mutational similarity // 33
mutualism // 68
mycocoenology // 26 159
naivet // 152
natality // 166
national park // 117 140
natural area // 95
natural catastrophes // 173
natural grasslands // 93
nature reserves // 95
neftenna // 47
neighbour // 85
nested ANOVA // 124
nested hierachical model // 3
net function interpolation method // 125
net photosynthesis // 164
networks of carbon flows // 68
neutral model analysis // 145
New Mexico // 102
niche // 28 43 58 59 86 115 122 123 128 131 132 149 164
niche breadth // 115 123 149
niche overlap // 59 86 122 164
niche space // 122
niche width // 115 122 123 149
nitrogen // 115
non-genetic traits // 19
non-linearity // 40 37 120 136
non-metric multidimensional scaling (NMDS) //
12 23 41 91 100 111 113 150
non-parametric // 14 79
nonmutational similarity // 33
normal distribution mixture // 70
normalization // 165
North Carolina piedmont // 77 78
nucleation // 85
null model // 36 153
number of units // 26
numerical methods // 2 7 65 111 162
numerical properties // 155
oblique transmission // 19
observational economy // 170
observer error // 73
old field // 127
Orange river // 107
order similarity // 6
ordination approach // 165
ordination diagrams // 110
ordination model // 160
ordination results // 136
orthogonal // 41
Ostrya // 119
outbreaks // 105
overview // 18
pampa // 126
Panicum prionitis // 96
parameter estimation // 129
parameter-dependent equilibria // 99
Paran // 44 96
parental transmission // 19
pareto optimality // 150
partial ordination // 136
partitions // 33 69 163
Pascal program // 31
pasture // 131
patch structure // 93
patchiness // 93
pattern determination // 29
Pennsylvania // 168 170 171 172
Pentzietea incanae // 107
perception // 139
perennial desert grasslands // 113
performance // 123
permutation techniques // 37
Persicaria // 29
personal computer // 30
perturbation // 17
pest management // 82
pest-host interaction // 82
pH // 120
phanerophytic vegetation // 55
phases // 147
photosynthetic pathways // 106
phylogenerator model // 83
physical factors // 80 80
physiognomic change // 161
physiognomic trends // 118
phytoclimatic effects // 156
phytoplankton // 76
phytosociological data // 20
phytosociology // 20 151 159
Picea // 85
piedmont // 77 78
pine // 9 82
pine caterpillar // 82
Pino-Juniperetea // 165
Pinus sylvestris forests // 165
plankton dynamics // 25
planned activity // 104
plant community // 3 18 29 44 72 102 153
plant mediation // 133
plant physical defenses // 133
plant-hemiptera communities // 24
plasticity // 80
plexus // 62 100
plexus diagram // 100
plot randomization // 73
plot size // 10 153
plotless sampling // 38
plurispecific // 79
policy // 111
populational distribution // 125
Posidonia oceanica ecosystem // 142
potential vegetation // 107
precipitation // 113
predator-prey system // 75
predictivity // 8
presence index // 177
presence-absence // 12
primary succession // 114
principal components analysis (PCA) // 4 11 15
32 41 44 91 94 101 124 140 141 151 160 165
principal coordinates analysis (PCO) // 32
probability // 14 20
process // 85
Procrustes analysis // 122
profile // 3 168
program package // 30 32
projection matrix // 127
Pyrennees // 165
qualitative modelling // 99
qualitons // 99
quasi-likelihood techniques // 175
Quercetalia pubescentis // 114
Querco-Fagetea // 114 153
Quercus // 119
rainfall // 94 107 157
Rajski // 33
random sampling // 174
randomisation // 139 166
randomness // 153
rangeland assessment // 107
ranked set sampling // 173 174
ranking // 13 32 111 173 174
rapid assessment // 173
rapid mobilization // 173
rarity // 164
recovery study // 147
recursion // 95
Red Queen // 83
redescription // 64
reduction // 6
reductionism // 114
redundancy // 139
regeneration // 96
regression modelling // 17
relational data bank // 5
relief // 161
relocation // 39
report // 2 7 21 46 48 65 87
rescue effect // 49
research funding // 89 97 104
reserve size // 95
residual // 110
resistant // 6
resource // 121 140
response // 17 55 56
response to disturbance // 55
Rhamno-Prunetea // 114
Riemannian resolution // 154
risk assessment // 170
river zooplankton community // 145
robustness // 6 162
rock substrates // 93
rocky shore communities // 84
rodens // 146
Rosario // 7
rotifers // 145
SAHN // 39
Salicetea herbaceae // 35 159
salt marshes // 80
sampling // 10 16 26 32 38 48 50 70 74 79 150 155 172 173
174
sand grassland community // 164
Santa F Province // 15
saxicolous communities // 151
scale // 147 150
scenarios // 147
seepage // 62
selecting species // 6
self-similarity // 77
self-thinning law // 129
semivariogram // 77
senescence // 108
sensitivity // 66 155
separate sampling // 70
Serengeti // 61
serfs // 47
series // 114
set-aside // 127
shallow water crinoids // 138
Shannon-Wiener // 155
Shimagare // 108
shimaglle // 47
shore communities // 84
short grasslands // 61
shrews // 49
shrub community // 153
shrub increase // 113
Sierra del Moncayo // 151
signed diagraphs // 146
significance tests // 155
silver jubilee // 169
similarity // 6 33 77 86 162
simulation // 10 25 56 66 70 72 74 83 115
single linkage clustering (SLC) // 39 40
site factors // 120
Sitophilus // 81
size of nature reserves // 95
size of sample // 26
small island // 67
small-scale analysis // 62
SOFIS // 45
software // 24 25 30 31 32 37 50
soil chemicals // 116
soil gradients // 43
soil macrofauna // 76
Sonora Desert // 147
spatial analysis // 120
spatial arrangement // 136
spatial autocorrelation // 74
spatial dependence // 134
spatial distribution // 84
spatial independence // 136
spatial information // 173
spatial interpolation // 110
spatial niche // 131 132
spatial patterns // 77 125 153
spatial randomness // 153
spatial scale // 77 78
spatial statistics // 170
spatial structure // 84
specialists // 164
speciation // 83
species association // 62
species co-occurrence patterns // 49
species dispersions // 43
species distribution // 15 80
species diversity indices // 135
species environmental fitness // 123 149
species juxtaposition // 62
species presence index // 177
species ranking // 13
species reduction // 6
species region // 62
species richness // 78 95 153 172
species weighting // 63
species-area curve // 172
species-area relationship // 153
species-environment relationships // 77
species-habitat relationships // 61
specificity // 6
splitting line // 22
stand demography // 108
standardization // 11
starfish // 105
static spaces // 122
statistical ecology // 37 89 153 167 169 170 171
statistical evaluation // 45
statistics classroom // 171
steady state // 147
sticky rings // 133
stochastic succession // 114
stored wheat // 81
straightening the horseshoe // 154
stratified sampling // 174
stress tolerance // 95
structural changes // 119
structural characteristics // 130
structural data // 8
structuring community data // 143
succession // 101 114 119 127 131 132
successional data // 101
successional model // 127
succulence // 164
sum of squares // 44 63
sum-of-squares clustering (SSC) // 44
sweep-out component analysis // 160
symbiosis // 138
symbolic computation // 99
symphenetic // 10 32
SYN-TAX III // 32
synchronity // 166
systematics // 32
table sorting // 23 143
TABORD // 27
tall grassland recovery // 96
temperate zone // 156
temperature // 113
temporal information // 173
Tennessee watershed data // 27
terrestrial communities // 117
tesselation // 85 109
test // 22
Thlaspietea rotundifolii // 159
time averaging // 146
time depencence // 75
time series analysis // 113
tolerance // 95 123
topo-moisture // 157
topography // 61 144
topology // 33
toxicity // 175
trajectory // 119 122
transect // 134
transformation // 10 11 33
transition matrix // 42
transmission // 19
Transvaal Lowveld // 88
tree-nutrient model // 51
treehole // 52
trend surface analysis (TSA) // 29 110
triangular // 29
Triticum // 81
trophic group // 142
trophic structure // 68
TWINSPAN // 42 76 93 101 117 118 126
U.S. National Forest Management Act // 9
understory // 165 165
unequal allocation // 174
uniformity // 6
Valdeon Valley // 116
validation // 66
variable centered methods // 27
variable set // 14
varimax rotation // 160
Vavilov centre // 47
vegetation analysis // 6 139
vegetation biology // 65
vegetation change // 73 108
vegetation data // 7 31 64
vegetation line // 177
vegetation study // 10 98
vegetation succession // 127
vegetation systems // 2
vegetation trends // 161
vegetation types // 17 122
vegetation/environment relationships // 94
vertical distribution // 177
voles // 49
Von Foerster equations // 60
water use efficiency // 164
watershed // 27 55
weevils // 81
weighted tesselation model // 109
Western Italian Alps // 159
wheat // 81
Yale // 167
yeast communities // 4
zone // 106 114 130
zoocoenoses // 140
zooplanton // 115 145
Zrich // 2
Table 1. The codes for disciplines or groups of
organisms. The coding was extended also on other items
outside the scope of this bibliography, but still being
of relevance for vegetation science and plant ecology.
ANT Ants and ant-plants
AUT Autecology
BIB Bibliography
CLA Cladistics, vicariance biogeography
CLI Climate, microclimate, atmophere relations, snow
COM Competition, niche, organization of plant
communities
CON Nature conservation, nature reserves
COX Ecological complexity
CRY Cryptogames, syntaxonomy of cryptogamic communities
DEM Demography
DIT Disturbance
DIV Diversity
DYN Vegetation and population dynamics, succession
ECO Systems and general ecology
EDU Environmental education
ENE Energy, biomass, production
ENV Environmental management
EVO Evolution, evolutionary ecology
FIR Fire ecology
GEN Genetics, ecological genetics, population genetics
GEO Plant geography, vegetation geography
GMO Geomorphology
GRB Grazing, browsing
GRD Gradient analysis
HIS History of science
HUM Human ecology
HYD Hydrobiology (general)
IND Indication, bioindicators
INF Information theory and methods
INT Plant-animal interactions
ISL Island biogeography
LAN Landscape ecology, environmental planning
LIF Life history, strategies, syndromes, adaptation
MAP Vegetation mapping, cartography
MAR Marine biology
MAT General mathematics
MET Methods of vegetation analysis
MIC Ecology of microorganisms, bacteria
MOD Ecological modeling
MOR Ecological morphology, morphology of plants
MUL Multivariate techniques
MYC Mycology, mycorrhiza
NCL Numerical classification
NUM Numerical techniques in vegetation analysis
NUT Nutrients
ORD Ordination
PAT Pattern analysis
PED Plant-soil relations, pedology, soil analyses
PHI Philosophical aspects of natural sciences
PHO Photosynthesis, gas exchange
PHY Ecophysiology, physiology of plants
PLN Plankton
POL Pollution problems
POP Population ecology
PPR Predator-prey relations
REM Remote sensing studies
RES Resemblance
SCI Scientometrics, journalology, publishing
STA Statistical methods
STB Ecological stability
STR Vegetation structure
SYS Vegetation systematics, syntaxonomy
TAX Taxonomy, cytotaxonomy, karyology
TER Scientific terminology
THE Vegetation theory, ecological theory
VEG General vegetation science
WAT Water-plant relations, water in plants
WEB Food webs
WHO Personalities: obituaries, anniversaries, jobs,
research
ZOO Zoology
Table 2. Codes for geographic units (countries,
continents, subcontinents and other parts of the world).
Only those geographic units are presented, which occur in
this bibliography.
Countries
AR Argentina
AT Austria
AU Australia
BE Belgium
BG Bulgaria
BR Brazil
CA Canada
CH Switzerland
CN China
CS former Czechoslovakia
CY Cyprus
CZ Czech Republic
EC Ecuador
ER Eritrea
ES Spain
ET Ethiopia
GB Great Britain
GL Greenland
GR Greece
HU Hungary
IT Italy
JP Japan
NL Netherlands
PK Pakistan
SD Sudan
SK Slovakia
TZ Tanzania
US USA
ZA South Africa
Continents, subcontinents (and analogous parts of the
continents) & oceans
AFE East Africa
AFN North Africa
AFS Southern Africa
ALE Equatorial S. America
ALT Temperate S. America
AMN North America
ASE East Asia
ASI Indian Subcontinent
ATN Northern Atlantic Ocean
AUN Northern Australia
EUA Alpine countries
EUB Balkans
EUC Central Europe
EUS Southern Europe
EUW Western Europe
PAC Pacific Ocean
Table 3. The codes for ecosystems extended beyond the
scope of this bibliography.
ALP Alpine
AQU Aquatic (freshwater) environments, mineral springs
ARC Tundra and polar deserts
ARI Arid ecosystems
BOR Boreal forests
CHA Rock fissures, walls, screes
COR Coral reefs
DES Deserts
DUN Dunes
EPI Epiphytic vegetation
FLO Flooded environments
FLU Fluviatile ecosystems
FOR Temperate forests
GRA Temperate grasslands, steppe, pampa
HEA Heathland
LAC Lacustrine ecosystems
MES Mediterranean ecosystems, chapparall, mallee, fynbos
MIR Mires, bogs, fens, carrs
NIV Nival ecosystems
RUD Ruderal vegetation
SAL Salt-ladden environments
SAV Tropical grasslands, savannah
SEA Open-sea ecosystems
SEG Segetal (agrestal) vegetation
TRO Tropical ecosystems
URB Urban ecosystems
VOL Volcanic ecosystems
WET Wetlands (incl. wet meadows, reed, swamps)
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