Multivariate analysis of ecological data using CANOCO 5:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge Univ. Press
2014
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XII, 362 S. Ill., graph. Darst. |
| ISBN: | 9781439881972 9781107694408 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV042908577 | ||
| 003 | DE-604 | ||
| 005 | 20170317 | ||
| 007 | t | ||
| 008 | 151006s2014 ad|| |||| 00||| eng d | ||
| 015 | |a GBB431686 |2 dnb | ||
| 020 | |a 9781439881972 |9 978-1-4398-8197-2 | ||
| 020 | |a 9781107694408 |c (pbk.) £40.00 |9 978-1-107-69440-8 | ||
| 035 | |a (OCoLC)930003069 | ||
| 035 | |a (DE-599)HBZHT018256703 | ||
| 040 | |a DE-604 |b ger |e rakwb | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-29T |a DE-M49 | ||
| 082 | 0 | |a 577.01/5195 | |
| 084 | |a WC 7000 |0 (DE-625)148142: |2 rvk | ||
| 100 | 1 | |a Šmilauer, Petr |d 1967- |e Verfasser |0 (DE-588)132209063 |4 aut | |
| 245 | 1 | 0 | |a Multivariate analysis of ecological data using CANOCO 5 |c Petr Šmilauer ; Jan Lepš |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Cambridge |b Cambridge Univ. Press |c 2014 | |
| 300 | |a XII, 362 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 4 | |a Ökologie | |
| 650 | 4 | |a Ecology |x Statistical methods | |
| 650 | 4 | |a Multivariate analysis | |
| 650 | 0 | 7 | |a Multivariate Analyse |0 (DE-588)4040708-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ökologie |0 (DE-588)4043207-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Multivariate Analyse |0 (DE-588)4040708-1 |D s |
| 689 | 0 | 1 | |a Ökologie |0 (DE-588)4043207-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Lepš, Jan |d 1953- |e Verfasser |0 (DE-588)132209039 |4 aut | |
| 856 | 4 | 2 | |m HEBIS Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028336460&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-028336460 | ||
Datensatz im Suchindex
| _version_ | 1804175204896735232 |
|---|---|
| adam_text | Multivariate Analysis of
Ecological Data using Canoco 5
Second Edition
PETR SMILAUER
University of South Bohemia, Czech Republic
JAN LEPS
University of South Bohemia, Czech Republic
iH CAMBRIDGE
UNIVERSITY PRESS
Contents
Preface page x
1 Introduction and data types 1
1 1 Why ordination? 1
1 2 Data types 4
1 3 Data transformation and standardisation 7
1 4 Missing values 11
1 5 Types of analyses 12
2 UsingCanoco5 15
2 1 Philosophy of Canoco 5 15
2 2 Data import and editing 17
2 3 Defining analyses 24
2 4 Visualising results 33
2 5 Beware, CANOCO 4 x users! 36
3 Experimental design 39
3 1 Completely randomised design 39
3 2 Randomised complete blocks 40
3 3 Latin square design 41
3 4 Pseudoreplicates 42
3 5 Combining more than one factor 44
3 6 Following the development of objects in time: repeated observations 45
3 7 Experimental and observational data 48
4 Basics of gradient analysis 50
4 1 Techniques of gradient analysis 51
4 2 Models of response to gradients 51
4 3 Estimating species optima by weighted averaging 53
4 4 Calibration 56
4 5 Unconstrained ordination 57
vi Contents
4 6 Constrained ordination
4 7 Basic ordination techniques
4 8 Ordination axes as optimal predictors
4 9 Ordination diagrams
4 10 Two approaches
4 11 Testing significance of the relation with explanatory variables
4 12 Monte Carlo permutation tests for the significance of regression
4 13 Relating two biotic communities
4 14 Community composition as a cause: using reverse analysis
5 1 Permutation tests: the philosophy
5 2 Pseudo-F statistics and significance
5 3 Testing individual constrained axes
*54 Tests with spatial or temporal constraints
5 5 Tests with hierarchical constraints
5 6 Simple versus conditional effects and stepwise selection
5 7 Variation partitioning
5 8 Significance adjustment for multiple tests
6 Similarity measures and distance-based methods
6 1 Similarity measures for presence-absence data
6 2 Similarity measures for quantitative data
6 3 Similarity of cases versus similarity of communities
6 4 Similarity between species in trait values
6 5 Principal coordinates analysis
6 6 Constrained principal coordinates analysis (db-RDA)
6 7 Non-metric multidimensional scaling
6 8 Mantel test
7 1 Example data set properties
7 2 Non-hierarchical classification (K-means clustering)
7 3 Hierarchical classification
7 4 TWINSPAN
5 Permutation tests and variation partitioning
7 Classification methods
8 Regression methods
8 1 Regression models in general
8 2 ^General linear model: terms
8 3 Generalized linear models (GLM)
8 4 Loess smoother
Contents vii
8 5 Generalized additive models (GAM) 136
8 6 Mixed-effect models (LMM, GLMM and GAMM) 137
8 7 Classification and regression trees (CART) 139
8 8 Modelling species response curves with Canoco 140
9 Interpreting community composition with functional traits 151
9 1 Required data 152
9 2 Two approaches in traits - environment studies 154
9 3 Community-based approach 158
9 4 Species-based approach 162
10 Advanced use of ordination 167
10 1 Principal response curves (PRC) 167
10 2 Separating spatial variation 169
10 3 Linear discriminant analysis 173
10 4 Hierarchical analysis of community variation 174
10 5 Partitioning diversity indices into alpha and beta components 177
10 6 Predicting community composition 182
11 Visualising multivariate data 184
11 1 Reading ordination diagrams of linear methods 186
11 2 Reading ordination diagrams of unimodal methods 195
11 3 Attribute plots 199
11 4 Visualising classification, groups, and sequences 202
11 5 T-value biplot 205
12 Case study 1: Variation in forest bird assemblages 208
12 1 Unconstrained ordination: portraying variation in bird community 209
12 2 Simple constrained ordination: the effect of altitude on bird
community 215
12 3 Partial constrained ordination: additional effect of other habitat
characteristics 218
12 4 Separating and testing alpha and beta diversity 221
13 Case study 2: Search for community composition patterns and
their environmental correlates: vegetation of spring meadows 226
13 1 Unconstrained ordination 227
13 2 Constrained ordination 230
13 3 Classification 237
13 4 Suggestions for additional analyses 238
13 5 Comparing two communities 239
viii Contents
14 Case study 3: Separating the effects of explanatory variables 246
14 1 Introduction 246
14 2 Data 247
14 3 Changes in species richness and composition 247
14 4 Changes in species traits 255
15 Case study 4: Evaluation of experiments in randomised complete blocks 258
15 1 Introduction 258
15 2 Data 258
15 3 Analysis 259
15 4 Calculating ANOVA using constrained ordination 265
16 Case study 5: Analysis of repeated observations of species composition
from a factorial experiment 267
16 1 Introduction 267
16 2 Experimental design 267
16 3 Data coding and use 268
16 4 Univariate analyses 270
16 5 Constrained ordinations 270
16 6 Principal response curves 275
16 7 Temporal changes across treatments 280
16 8 Changes in composition of functional traits 285
17 Case study 6: Hierarchical analysis of crayfish community variation 301
17 1 Data and design 301
17 2 Differences among sampling locations 302
17 3 Hierarchical decomposition of community variation 305
18 Case study 7: Analysis of taxonomic data with discriminant analysis
and distance-based ordination 309
18 1 Data 309
18 2 Summarising morphological data with PCA 310
18 3 Linear discriminant analysis of morphological data 313
18 4 Principal coordinates analysis of AFLP data 317
18 5 Testing taxon differences in AFLP data using db-RDA 320
18 6 Taking populations into account 322
19 Case study 8: Separating effects of space and environment on oribatid
community with PCNM 324
19 1 Ignoring the space 324
19 2 Detecting spatial trends 326
Contents ix
19 3 All-scale spatial variation of community and environment 328
19 4 Variation partitioning with spatial predictors 332
19 5 Visualising spatial variation 333
20 Case study 9: Performing linear regression with redundancy analysis 337
20 1 Data 337
20 2 Linear regression using program R 337
20 3 Linear regression with redundancy analysis 340
20 4 Fitting generalized linear models in Canoco 342
Appendix A Glossary 343
Appendix B Sample data sets and projects 346
Appendix C Access to Canoco and overview of other software 347
Appendix D Working with R 350
References 351
Index to useful tasks in Canoco 5 359
Subject index 360
|
| any_adam_object | 1 |
| author | Šmilauer, Petr 1967- Lepš, Jan 1953- |
| author_GND | (DE-588)132209063 (DE-588)132209039 |
| author_facet | Šmilauer, Petr 1967- Lepš, Jan 1953- |
| author_role | aut aut |
| author_sort | Šmilauer, Petr 1967- |
| author_variant | p š pš j l jl |
| building | Verbundindex |
| bvnumber | BV042908577 |
| classification_rvk | WC 7000 |
| ctrlnum | (OCoLC)930003069 (DE-599)HBZHT018256703 |
| dewey-full | 577.01/5195 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 577 - Ecology |
| dewey-raw | 577.01/5195 |
| dewey-search | 577.01/5195 |
| dewey-sort | 3577.01 45195 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| edition | 2. ed. |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01673nam a2200433 c 4500</leader><controlfield tag="001">BV042908577</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20170317 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">151006s2014 ad|| |||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBB431686</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781439881972</subfield><subfield code="9">978-1-4398-8197-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781107694408</subfield><subfield code="c">(pbk.) £40.00</subfield><subfield code="9">978-1-107-69440-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)930003069</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)HBZHT018256703</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-29T</subfield><subfield code="a">DE-M49</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">577.01/5195</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7000</subfield><subfield code="0">(DE-625)148142:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Šmilauer, Petr</subfield><subfield code="d">1967-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)132209063</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Multivariate analysis of ecological data using CANOCO 5</subfield><subfield code="c">Petr Šmilauer ; Jan Lepš</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2. ed.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge</subfield><subfield code="b">Cambridge Univ. Press</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XII, 362 S.</subfield><subfield code="b">Ill., graph. Darst.</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ökologie</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ecology</subfield><subfield code="x">Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multivariate analysis</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Multivariate Analyse</subfield><subfield code="0">(DE-588)4040708-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Ökologie</subfield><subfield code="0">(DE-588)4043207-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Multivariate Analyse</subfield><subfield code="0">(DE-588)4040708-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Ökologie</subfield><subfield code="0">(DE-588)4043207-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lepš, Jan</subfield><subfield code="d">1953-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)132209039</subfield><subfield code="4">aut</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">HEBIS Datenaustausch</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028336460&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028336460</subfield></datafield></record></collection> |
| id | DE-604.BV042908577 |
| illustrated | Illustrated |
| indexdate | 2024-07-10T07:12:35Z |
| institution | BVB |
| isbn | 9781439881972 9781107694408 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028336460 |
| oclc_num | 930003069 |
| open_access_boolean | |
| owner | DE-29T DE-M49 DE-BY-TUM |
| owner_facet | DE-29T DE-M49 DE-BY-TUM |
| physical | XII, 362 S. Ill., graph. Darst. |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| spelling | Šmilauer, Petr 1967- Verfasser (DE-588)132209063 aut Multivariate analysis of ecological data using CANOCO 5 Petr Šmilauer ; Jan Lepš 2. ed. Cambridge Cambridge Univ. Press 2014 XII, 362 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Ökologie Ecology Statistical methods Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 s Ökologie (DE-588)4043207-5 s DE-604 Lepš, Jan 1953- Verfasser (DE-588)132209039 aut HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028336460&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Šmilauer, Petr 1967- Lepš, Jan 1953- Multivariate analysis of ecological data using CANOCO 5 Ökologie Ecology Statistical methods Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd Ökologie (DE-588)4043207-5 gnd |
| subject_GND | (DE-588)4040708-1 (DE-588)4043207-5 |
| title | Multivariate analysis of ecological data using CANOCO 5 |
| title_auth | Multivariate analysis of ecological data using CANOCO 5 |
| title_exact_search | Multivariate analysis of ecological data using CANOCO 5 |
| title_full | Multivariate analysis of ecological data using CANOCO 5 Petr Šmilauer ; Jan Lepš |
| title_fullStr | Multivariate analysis of ecological data using CANOCO 5 Petr Šmilauer ; Jan Lepš |
| title_full_unstemmed | Multivariate analysis of ecological data using CANOCO 5 Petr Šmilauer ; Jan Lepš |
| title_short | Multivariate analysis of ecological data using CANOCO 5 |
| title_sort | multivariate analysis of ecological data using canoco 5 |
| topic | Ökologie Ecology Statistical methods Multivariate analysis Multivariate Analyse (DE-588)4040708-1 gnd Ökologie (DE-588)4043207-5 gnd |
| topic_facet | Ökologie Ecology Statistical methods Multivariate analysis Multivariate Analyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028336460&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT smilauerpetr multivariateanalysisofecologicaldatausingcanoco5 AT lepsjan multivariateanalysisofecologicaldatausingcanoco5 |