Quantitative analysis of ecological networks:
"Ecology is about understanding how organisms interact with other organisms and the environment they inhabit (i.e. fundamental and realised niches). It is easy to imagine an individual organism of any kind as a dot with all sorts of arrows impinging upon it, an arrow can represent abiotic facto...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, United Kingdom ; New York, NY, USA
Cambridge University Press
2021
|
| Ausgabe: | 1. publ. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "Ecology is about understanding how organisms interact with other organisms and the environment they inhabit (i.e. fundamental and realised niches). It is easy to imagine an individual organism of any kind as a dot with all sorts of arrows impinging upon it, an arrow can represent abiotic factors (temperature, light, etc.), as well as many arrows for all the other organisms (biotic factors, intra- and inter-specific interactions) that affect it. Ecology aims therefore to determine the magnitude and rate associated with some of the arrows, and which are the most important and why. Each organism also has its own effects on the same list of factors, even if the effects may be small, so we can also imagine arrows going out from the same dot, one to each of the same list of factors (they can be dots too). Again, a challenge is to determine the associated weights and importance for the arrows, some of which are directed toward other organisms. As soon as we consider more than a single organism, even just a few, we immediately have a complex structure of dots and arrows: an ecological network! It is an obvious step to consider ecological systems as ecological networks, and as such to assess how network theory (concepts and methods) might be applied to them. Network theory and the mathematics of graph theory that underlie network analysis provide simple concepts that can applied to systems that are complex both in structure and dynamics. It is those concepts that allow us to provide a sorted set of methods for the quantitative analysis of 10 ecological networks, along with thoughts and advice on how best to proceed. Through the years, the need to take a network analysis framework to study complex system has arisen in many fields (physics, computer science, communication science (transportation, electricity, social), and bio- and ecoinformatics), and there is a challenging diversity of approaches, methods, and measures that should be understood, or at least sorted, before applying them to our own data. The overarching goal of this book is to help ecologists in selecting the appropriate network methods to represent, analyse, and model their ecological system using network theory"-- |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | x, 221 Seiten Illustrationen, Diagramme |
| ISBN: | 9781108740715 9781108491846 |
Internformat
MARC
| LEADER | 00000nam a22000001c 4500 | ||
|---|---|---|---|
| 001 | BV047444766 | ||
| 003 | DE-604 | ||
| 005 | 20221201 | ||
| 007 | t | ||
| 008 | 210830s2021 xxka||| |||| 00||| eng d | ||
| 020 | |a 9781108740715 |c paperback |9 978-1-108-74071-5 | ||
| 020 | |a 9781108491846 |c hardback |9 978-1-108-49184-6 | ||
| 035 | |a (OCoLC)1249483484 | ||
| 035 | |a (DE-599)KXP1737209233 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 044 | |a xxk |c GB | ||
| 049 | |a DE-355 |a DE-11 |a DE-M49 | ||
| 050 | 0 | |a QH541.15.S72 | |
| 084 | |a WC 5300 |0 (DE-625)148110: |2 rvk | ||
| 084 | |a WI 2000 |0 (DE-625)148759: |2 rvk | ||
| 084 | |a WI 1500 |0 (DE-625)148757: |2 rvk | ||
| 084 | |a DAT 774 |2 stub | ||
| 084 | |a UMW 002 |2 stub | ||
| 100 | 1 | |a Dale, Mark R. T. |d 1951- |e Verfasser |0 (DE-588)173305857 |4 aut | |
| 245 | 1 | 0 | |a Quantitative analysis of ecological networks |c Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto |
| 250 | |a 1. publ. | ||
| 264 | 1 | |a Cambridge, United Kingdom ; New York, NY, USA |b Cambridge University Press |c 2021 | |
| 300 | |a x, 221 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 520 | 3 | |a "Ecology is about understanding how organisms interact with other organisms and the environment they inhabit (i.e. fundamental and realised niches). It is easy to imagine an individual organism of any kind as a dot with all sorts of arrows impinging upon it, an arrow can represent abiotic factors (temperature, light, etc.), as well as many arrows for all the other organisms (biotic factors, intra- and inter-specific interactions) that affect it. Ecology aims therefore to determine the magnitude and rate associated with some of the arrows, and which are the most important and why. Each organism also has its own effects on the same list of factors, even if the effects may be small, so we can also imagine arrows going out from the same dot, one to each of the same list of factors (they can be dots too). Again, a challenge is to determine the associated weights and importance for the arrows, some of which are directed toward other organisms. | |
| 520 | 3 | |a As soon as we consider more than a single organism, even just a few, we immediately have a complex structure of dots and arrows: an ecological network! It is an obvious step to consider ecological systems as ecological networks, and as such to assess how network theory (concepts and methods) might be applied to them. Network theory and the mathematics of graph theory that underlie network analysis provide simple concepts that can applied to systems that are complex both in structure and dynamics. It is those concepts that allow us to provide a sorted set of methods for the quantitative analysis of 10 ecological networks, along with thoughts and advice on how best to proceed. | |
| 520 | 3 | |a Through the years, the need to take a network analysis framework to study complex system has arisen in many fields (physics, computer science, communication science (transportation, electricity, social), and bio- and ecoinformatics), and there is a challenging diversity of approaches, methods, and measures that should be understood, or at least sorted, before applying them to our own data. The overarching goal of this book is to help ecologists in selecting the appropriate network methods to represent, analyse, and model their ecological system using network theory"-- | |
| 650 | 0 | 7 | |a Methode |0 (DE-588)4038971-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Statistik |0 (DE-588)4056995-0 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ökologie |0 (DE-588)4043207-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Quantitative Analyse |0 (DE-588)4125311-5 |2 gnd |9 rswk-swf |
| 653 | 0 | |a Ecology / Statistical methods | |
| 653 | 0 | |a System analysis | |
| 653 | 0 | |a Quantitative research | |
| 689 | 0 | 0 | |a Quantitative Analyse |0 (DE-588)4125311-5 |D s |
| 689 | 0 | 1 | |a Ökologie |0 (DE-588)4043207-5 |D s |
| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Ökologie |0 (DE-588)4043207-5 |D s |
| 689 | 1 | 1 | |a Statistik |0 (DE-588)4056995-0 |D s |
| 689 | 1 | 2 | |a Methode |0 (DE-588)4038971-6 |D s |
| 689 | 1 | |5 DE-604 | |
| 700 | 1 | |a Fortin, Marie-Josée |d 1958- |e Verfasser |0 (DE-588)173760848 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, EPUB |z 978-1-108-64901-8 |
| 856 | 4 | 2 | |m V:DE-605;X:Imageware |q application/pdf |u http://digitale-objekte.hbz-nrw.de/storage2/2021/06/01/file_3/9034815.pdf |3 Inhaltsverzeichnis |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032846860 | ||
Datensatz im Suchindex
| _version_ | 1804182738199117824 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Dale, Mark R. T. 1951- Fortin, Marie-Josée 1958- |
| author_GND | (DE-588)173305857 (DE-588)173760848 |
| author_facet | Dale, Mark R. T. 1951- Fortin, Marie-Josée 1958- |
| author_role | aut aut |
| author_sort | Dale, Mark R. T. 1951- |
| author_variant | m r t d mrt mrtd m j f mjf |
| building | Verbundindex |
| bvnumber | BV047444766 |
| callnumber-first | Q - Science |
| callnumber-label | QH541 |
| callnumber-raw | QH541.15.S72 |
| callnumber-search | QH541.15.S72 |
| callnumber-sort | QH 3541.15 S72 |
| callnumber-subject | QH - Natural History and Biology |
| classification_rvk | WC 5300 WI 2000 WI 1500 |
| classification_tum | DAT 774 UMW 002 |
| ctrlnum | (OCoLC)1249483484 (DE-599)KXP1737209233 |
| discipline | Biologie Informatik Umwelt |
| discipline_str_mv | Biologie Informatik Umwelt |
| edition | 1. publ. |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04544nam a22006131c 4500</leader><controlfield tag="001">BV047444766</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20221201 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">210830s2021 xxka||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108740715</subfield><subfield code="c">paperback</subfield><subfield code="9">978-1-108-74071-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108491846</subfield><subfield code="c">hardback</subfield><subfield code="9">978-1-108-49184-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1249483484</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KXP1737209233</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxk</subfield><subfield code="c">GB</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-11</subfield><subfield code="a">DE-M49</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH541.15.S72</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 5300</subfield><subfield code="0">(DE-625)148110:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WI 2000</subfield><subfield code="0">(DE-625)148759:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WI 1500</subfield><subfield code="0">(DE-625)148757:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 774</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">UMW 002</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Dale, Mark R. T.</subfield><subfield code="d">1951-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)173305857</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Quantitative analysis of ecological networks</subfield><subfield code="c">Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1. publ.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge, United Kingdom ; New York, NY, USA</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">x, 221 Seiten</subfield><subfield code="b">Illustrationen, Diagramme</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="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">"Ecology is about understanding how organisms interact with other organisms and the environment they inhabit (i.e. fundamental and realised niches). It is easy to imagine an individual organism of any kind as a dot with all sorts of arrows impinging upon it, an arrow can represent abiotic factors (temperature, light, etc.), as well as many arrows for all the other organisms (biotic factors, intra- and inter-specific interactions) that affect it. Ecology aims therefore to determine the magnitude and rate associated with some of the arrows, and which are the most important and why. Each organism also has its own effects on the same list of factors, even if the effects may be small, so we can also imagine arrows going out from the same dot, one to each of the same list of factors (they can be dots too). Again, a challenge is to determine the associated weights and importance for the arrows, some of which are directed toward other organisms. </subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">As soon as we consider more than a single organism, even just a few, we immediately have a complex structure of dots and arrows: an ecological network! It is an obvious step to consider ecological systems as ecological networks, and as such to assess how network theory (concepts and methods) might be applied to them. Network theory and the mathematics of graph theory that underlie network analysis provide simple concepts that can applied to systems that are complex both in structure and dynamics. It is those concepts that allow us to provide a sorted set of methods for the quantitative analysis of 10 ecological networks, along with thoughts and advice on how best to proceed. </subfield></datafield><datafield tag="520" ind1="3" ind2=" "><subfield code="a">Through the years, the need to take a network analysis framework to study complex system has arisen in many fields (physics, computer science, communication science (transportation, electricity, social), and bio- and ecoinformatics), and there is a challenging diversity of approaches, methods, and measures that should be understood, or at least sorted, before applying them to our own data. The overarching goal of this book is to help ecologists in selecting the appropriate network methods to represent, analyse, and model their ecological system using network theory"--</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Methode</subfield><subfield code="0">(DE-588)4038971-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</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="650" ind1="0" ind2="7"><subfield code="a">Quantitative Analyse</subfield><subfield code="0">(DE-588)4125311-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Ecology / Statistical methods</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">System analysis</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Quantitative research</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Quantitative Analyse</subfield><subfield code="0">(DE-588)4125311-5</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="689" ind1="1" ind2="0"><subfield code="a">Ökologie</subfield><subfield code="0">(DE-588)4043207-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Statistik</subfield><subfield code="0">(DE-588)4056995-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="2"><subfield code="a">Methode</subfield><subfield code="0">(DE-588)4038971-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fortin, Marie-Josée</subfield><subfield code="d">1958-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)173760848</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe, EPUB</subfield><subfield code="z">978-1-108-64901-8</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">V:DE-605;X:Imageware</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://digitale-objekte.hbz-nrw.de/storage2/2021/06/01/file_3/9034815.pdf</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032846860</subfield></datafield></record></collection> |
| id | DE-604.BV047444766 |
| illustrated | Illustrated |
| index_date | 2024-07-03T18:01:50Z |
| indexdate | 2024-07-10T09:12:19Z |
| institution | BVB |
| isbn | 9781108740715 9781108491846 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032846860 |
| oclc_num | 1249483484 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-11 DE-M49 DE-BY-TUM |
| owner_facet | DE-355 DE-BY-UBR DE-11 DE-M49 DE-BY-TUM |
| physical | x, 221 Seiten Illustrationen, Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Dale, Mark R. T. 1951- Verfasser (DE-588)173305857 aut Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto 1. publ. Cambridge, United Kingdom ; New York, NY, USA Cambridge University Press 2021 x, 221 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "Ecology is about understanding how organisms interact with other organisms and the environment they inhabit (i.e. fundamental and realised niches). It is easy to imagine an individual organism of any kind as a dot with all sorts of arrows impinging upon it, an arrow can represent abiotic factors (temperature, light, etc.), as well as many arrows for all the other organisms (biotic factors, intra- and inter-specific interactions) that affect it. Ecology aims therefore to determine the magnitude and rate associated with some of the arrows, and which are the most important and why. Each organism also has its own effects on the same list of factors, even if the effects may be small, so we can also imagine arrows going out from the same dot, one to each of the same list of factors (they can be dots too). Again, a challenge is to determine the associated weights and importance for the arrows, some of which are directed toward other organisms. As soon as we consider more than a single organism, even just a few, we immediately have a complex structure of dots and arrows: an ecological network! It is an obvious step to consider ecological systems as ecological networks, and as such to assess how network theory (concepts and methods) might be applied to them. Network theory and the mathematics of graph theory that underlie network analysis provide simple concepts that can applied to systems that are complex both in structure and dynamics. It is those concepts that allow us to provide a sorted set of methods for the quantitative analysis of 10 ecological networks, along with thoughts and advice on how best to proceed. Through the years, the need to take a network analysis framework to study complex system has arisen in many fields (physics, computer science, communication science (transportation, electricity, social), and bio- and ecoinformatics), and there is a challenging diversity of approaches, methods, and measures that should be understood, or at least sorted, before applying them to our own data. The overarching goal of this book is to help ecologists in selecting the appropriate network methods to represent, analyse, and model their ecological system using network theory"-- Methode (DE-588)4038971-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Quantitative Analyse (DE-588)4125311-5 gnd rswk-swf Ecology / Statistical methods System analysis Quantitative research Quantitative Analyse (DE-588)4125311-5 s Ökologie (DE-588)4043207-5 s DE-604 Statistik (DE-588)4056995-0 s Methode (DE-588)4038971-6 s Fortin, Marie-Josée 1958- Verfasser (DE-588)173760848 aut Erscheint auch als Online-Ausgabe, EPUB 978-1-108-64901-8 V:DE-605;X:Imageware application/pdf http://digitale-objekte.hbz-nrw.de/storage2/2021/06/01/file_3/9034815.pdf Inhaltsverzeichnis |
| spellingShingle | Dale, Mark R. T. 1951- Fortin, Marie-Josée 1958- Quantitative analysis of ecological networks Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd Ökologie (DE-588)4043207-5 gnd Quantitative Analyse (DE-588)4125311-5 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4056995-0 (DE-588)4043207-5 (DE-588)4125311-5 |
| title | Quantitative analysis of ecological networks |
| title_auth | Quantitative analysis of ecological networks |
| title_exact_search | Quantitative analysis of ecological networks |
| title_exact_search_txtP | Quantitative analysis of ecological networks |
| title_full | Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto |
| title_fullStr | Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto |
| title_full_unstemmed | Quantitative analysis of ecological networks Mark R.T. Dale, University of Northern British Columbia, Marie-Josée Fortin, University of Toronto |
| title_short | Quantitative analysis of ecological networks |
| title_sort | quantitative analysis of ecological networks |
| topic | Methode (DE-588)4038971-6 gnd Statistik (DE-588)4056995-0 gnd Ökologie (DE-588)4043207-5 gnd Quantitative Analyse (DE-588)4125311-5 gnd |
| topic_facet | Methode Statistik Ökologie Quantitative Analyse |
| url | http://digitale-objekte.hbz-nrw.de/storage2/2021/06/01/file_3/9034815.pdf |
| work_keys_str_mv | AT dalemarkrt quantitativeanalysisofecologicalnetworks AT fortinmariejosee quantitativeanalysisofecologicalnetworks |