High-amplitude fluctuations and alternative dynamical states of midges in Lake Myvatn
Feast or famine Iceland's Lake Myvatn ecosystem is remarkable in that it is so dominated by a single species. Myvatn translates as 'midge lake', and it is the midge Tanytarsus gracilentus that dominates, comprising two-thirds of the lake's secondary productivity. Midge numbers un...
Gespeichert in:
Veröffentlicht in: | Nature 2008-03, Vol.452 (7183), p.84-87 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 87 |
---|---|
container_issue | 7183 |
container_start_page | 84 |
container_title | Nature |
container_volume | 452 |
creator | Ives, Anthony R. Einarsson, Árni Jansen, Vincent A. A. Gardarsson, Arnthor |
description | Feast or famine
Iceland's Lake Myvatn ecosystem is remarkable in that it is so dominated by a single species. Myvatn translates as 'midge lake', and it is the midge
Tanytarsus gracilentus
that dominates, comprising two-thirds of the lake's secondary productivity. Midge numbers undergo extreme fluctuations of almost six orders of magnitude with an irregular period of 4 to 7 years. A new analysis of 25 years of population monitoring shows that this phenomenon can be explained by alternative dynamical states with the amplitude of the fluctuations set by small subsidies of food entering the habitat. Small decreases in food supply due to human disturbances could explain recent increases in midge fluctuations. In conservation terms, midge populations are inherently unpredictable and are much more vulnerable to small disturbances in the lake than was expected. The Lake Myvatn midges illustrate the fundamental complexities of natural ecosystems and the difficulties in managing them. The cover shows mating swarms of male midges waiting for females to join them.
An example of complex population dynamics (the midge
Tanytarsus gracilentus
in Lake Myvatn, Iceland) is described and modelled.
Complex dynamics are often shown by simple ecological models
1
,
2
and have been clearly demonstrated in laboratory
3
,
4
and natural systems
5
,
6
,
7
,
8
,
9
. Yet many classes of theoretically possible dynamics are still poorly documented in nature. Here we study long-term time-series data of a midge,
Tanytarsus gracilentus
(Diptera: Chironomidae), in Lake Myvatn, Iceland. The midge undergoes density fluctuations of almost six orders of magnitude. Rather than regular cycles, however, these fluctuations have irregular periods of 4–7 years, indicating complex dynamics. We fit three consumer–resource models capable of qualitatively distinct dynamics to the data. Of these, the best-fitting model shows alternative dynamical states in the absence of environmental variability; depending on the initial midge densities, the model shows either fluctuations around a fixed point or high-amplitude cycles. This explains the observed complex population dynamics: high-amplitude but irregular fluctuations occur because stochastic variability causes the dynamics to switch between domains of attraction to the alternative states. In the model, the amplitude of fluctuations depends strongly on minute resource subsidies into the midge habitat. These resource subsidies may be sensitive to human-caused |
doi_str_mv | 10.1038/nature06610 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_877599080</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>70374729</sourcerecordid><originalsourceid>FETCH-LOGICAL-c510t-4f20cb95f2837d9e0d93ba4e8d0f380f44f6fb9888a85791eb7c81de2db991af3</originalsourceid><addsrcrecordid>eNqF0c1rFDEYBvAgil2rJ-8ShOrBjr75miRHKWoLK17sechMkjV1JrMmmcL-92bZxUopekogP543vA9CLwm8J8DUh2jKkhy0LYFHaEW4bBveKvkYrQCoakCx9gQ9y_kGAASR_Ck6IYpRKhhboevLsPnRmGk7hrJYh_24DGUxJcwxYxMtNmNxqY4Itw7bXTRTGMyIczHFZTx7PAW7qbcQ8dr8dPjr7taU-Bw98WbM7sXxPEXXnz99v7hs1t--XF18XDeDIFAa7ikMvRaeKiatdmA16w13yoJnCjznvvW9VkoZJaQmrpeDItZR22tNjGen6O0hd5vmX4vLpZtCHtw4mujmJXdKSqE1KKjyzT-lBCa5pPq_kMI-krMKX9-DN_NSNzXuDRdCEE0qendAQ5pzTs532xQmk3YdgW7fXvdXe1W_OkYu_eTsnT3WVcHZEZhca_DJxCHkP44C4ZyI_djzg8v1KW5cuvvbQ3N_A5qKscY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>204555191</pqid></control><display><type>article</type><title>High-amplitude fluctuations and alternative dynamical states of midges in Lake Myvatn</title><source>MEDLINE</source><source>Nature Journals Online</source><source>SpringerLink Journals - AutoHoldings</source><creator>Ives, Anthony R. ; Einarsson, Árni ; Jansen, Vincent A. A. ; Gardarsson, Arnthor</creator><creatorcontrib>Ives, Anthony R. ; Einarsson, Árni ; Jansen, Vincent A. A. ; Gardarsson, Arnthor</creatorcontrib><description>Feast or famine
Iceland's Lake Myvatn ecosystem is remarkable in that it is so dominated by a single species. Myvatn translates as 'midge lake', and it is the midge
Tanytarsus gracilentus
that dominates, comprising two-thirds of the lake's secondary productivity. Midge numbers undergo extreme fluctuations of almost six orders of magnitude with an irregular period of 4 to 7 years. A new analysis of 25 years of population monitoring shows that this phenomenon can be explained by alternative dynamical states with the amplitude of the fluctuations set by small subsidies of food entering the habitat. Small decreases in food supply due to human disturbances could explain recent increases in midge fluctuations. In conservation terms, midge populations are inherently unpredictable and are much more vulnerable to small disturbances in the lake than was expected. The Lake Myvatn midges illustrate the fundamental complexities of natural ecosystems and the difficulties in managing them. The cover shows mating swarms of male midges waiting for females to join them.
An example of complex population dynamics (the midge
Tanytarsus gracilentus
in Lake Myvatn, Iceland) is described and modelled.
Complex dynamics are often shown by simple ecological models
1
,
2
and have been clearly demonstrated in laboratory
3
,
4
and natural systems
5
,
6
,
7
,
8
,
9
. Yet many classes of theoretically possible dynamics are still poorly documented in nature. Here we study long-term time-series data of a midge,
Tanytarsus gracilentus
(Diptera: Chironomidae), in Lake Myvatn, Iceland. The midge undergoes density fluctuations of almost six orders of magnitude. Rather than regular cycles, however, these fluctuations have irregular periods of 4–7 years, indicating complex dynamics. We fit three consumer–resource models capable of qualitatively distinct dynamics to the data. Of these, the best-fitting model shows alternative dynamical states in the absence of environmental variability; depending on the initial midge densities, the model shows either fluctuations around a fixed point or high-amplitude cycles. This explains the observed complex population dynamics: high-amplitude but irregular fluctuations occur because stochastic variability causes the dynamics to switch between domains of attraction to the alternative states. In the model, the amplitude of fluctuations depends strongly on minute resource subsidies into the midge habitat. These resource subsidies may be sensitive to human-caused changes in the hydrology of the lake, with human impacts such as dredging leading to higher-amplitude fluctuations.
Tanytarsus gracilentus
is a key component of the Myvatn ecosystem, representing two-thirds of the secondary productivity of the lake
10
and providing vital food resources to fish and to breeding bird populations
11
,
12
. Therefore the high-amplitude, irregular fluctuations in midge densities generated by alternative dynamical states dominate much of the ecology of the lake.</description><identifier>ISSN: 0028-0836</identifier><identifier>EISSN: 1476-4687</identifier><identifier>EISSN: 1476-4679</identifier><identifier>DOI: 10.1038/nature06610</identifier><identifier>PMID: 18322533</identifier><identifier>CODEN: NATUAS</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>Animal and plant ecology ; Animal populations ; Animal, plant and microbial ecology ; Animals ; Aquatic ecosystems ; Biological and medical sciences ; Bird populations ; Birds ; Chironomidae ; Chironomidae - physiology ; Computer Simulation ; Demecology ; Diptera ; Ecological models ; Ecosystem ; Eukaryota - physiology ; Fluctuations ; Food ; Food resources ; Fresh Water ; Fundamental and applied biological sciences. Psychology ; Humanities and Social Sciences ; Hydrology ; Iceland ; Insects ; Lakes ; letter ; Models, Biological ; multidisciplinary ; Population Density ; Population dynamics ; Protozoa. Invertebrata ; Science ; Secondary productivity ; Stochastic Processes ; Tanytarsus gracilentus ; Theory ; Time series</subject><ispartof>Nature, 2008-03, Vol.452 (7183), p.84-87</ispartof><rights>Springer Nature Limited 2008</rights><rights>2008 INIST-CNRS</rights><rights>Copyright Nature Publishing Group Mar 6, 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-4f20cb95f2837d9e0d93ba4e8d0f380f44f6fb9888a85791eb7c81de2db991af3</citedby><cites>FETCH-LOGICAL-c510t-4f20cb95f2837d9e0d93ba4e8d0f380f44f6fb9888a85791eb7c81de2db991af3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/nature06610$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/nature06610$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20144151$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18322533$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ives, Anthony R.</creatorcontrib><creatorcontrib>Einarsson, Árni</creatorcontrib><creatorcontrib>Jansen, Vincent A. A.</creatorcontrib><creatorcontrib>Gardarsson, Arnthor</creatorcontrib><title>High-amplitude fluctuations and alternative dynamical states of midges in Lake Myvatn</title><title>Nature</title><addtitle>Nature</addtitle><addtitle>Nature</addtitle><description>Feast or famine
Iceland's Lake Myvatn ecosystem is remarkable in that it is so dominated by a single species. Myvatn translates as 'midge lake', and it is the midge
Tanytarsus gracilentus
that dominates, comprising two-thirds of the lake's secondary productivity. Midge numbers undergo extreme fluctuations of almost six orders of magnitude with an irregular period of 4 to 7 years. A new analysis of 25 years of population monitoring shows that this phenomenon can be explained by alternative dynamical states with the amplitude of the fluctuations set by small subsidies of food entering the habitat. Small decreases in food supply due to human disturbances could explain recent increases in midge fluctuations. In conservation terms, midge populations are inherently unpredictable and are much more vulnerable to small disturbances in the lake than was expected. The Lake Myvatn midges illustrate the fundamental complexities of natural ecosystems and the difficulties in managing them. The cover shows mating swarms of male midges waiting for females to join them.
An example of complex population dynamics (the midge
Tanytarsus gracilentus
in Lake Myvatn, Iceland) is described and modelled.
Complex dynamics are often shown by simple ecological models
1
,
2
and have been clearly demonstrated in laboratory
3
,
4
and natural systems
5
,
6
,
7
,
8
,
9
. Yet many classes of theoretically possible dynamics are still poorly documented in nature. Here we study long-term time-series data of a midge,
Tanytarsus gracilentus
(Diptera: Chironomidae), in Lake Myvatn, Iceland. The midge undergoes density fluctuations of almost six orders of magnitude. Rather than regular cycles, however, these fluctuations have irregular periods of 4–7 years, indicating complex dynamics. We fit three consumer–resource models capable of qualitatively distinct dynamics to the data. Of these, the best-fitting model shows alternative dynamical states in the absence of environmental variability; depending on the initial midge densities, the model shows either fluctuations around a fixed point or high-amplitude cycles. This explains the observed complex population dynamics: high-amplitude but irregular fluctuations occur because stochastic variability causes the dynamics to switch between domains of attraction to the alternative states. In the model, the amplitude of fluctuations depends strongly on minute resource subsidies into the midge habitat. These resource subsidies may be sensitive to human-caused changes in the hydrology of the lake, with human impacts such as dredging leading to higher-amplitude fluctuations.
Tanytarsus gracilentus
is a key component of the Myvatn ecosystem, representing two-thirds of the secondary productivity of the lake
10
and providing vital food resources to fish and to breeding bird populations
11
,
12
. Therefore the high-amplitude, irregular fluctuations in midge densities generated by alternative dynamical states dominate much of the ecology of the lake.</description><subject>Animal and plant ecology</subject><subject>Animal populations</subject><subject>Animal, plant and microbial ecology</subject><subject>Animals</subject><subject>Aquatic ecosystems</subject><subject>Biological and medical sciences</subject><subject>Bird populations</subject><subject>Birds</subject><subject>Chironomidae</subject><subject>Chironomidae - physiology</subject><subject>Computer Simulation</subject><subject>Demecology</subject><subject>Diptera</subject><subject>Ecological models</subject><subject>Ecosystem</subject><subject>Eukaryota - physiology</subject><subject>Fluctuations</subject><subject>Food</subject><subject>Food resources</subject><subject>Fresh Water</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Humanities and Social Sciences</subject><subject>Hydrology</subject><subject>Iceland</subject><subject>Insects</subject><subject>Lakes</subject><subject>letter</subject><subject>Models, Biological</subject><subject>multidisciplinary</subject><subject>Population Density</subject><subject>Population dynamics</subject><subject>Protozoa. Invertebrata</subject><subject>Science</subject><subject>Secondary productivity</subject><subject>Stochastic Processes</subject><subject>Tanytarsus gracilentus</subject><subject>Theory</subject><subject>Time series</subject><issn>0028-0836</issn><issn>1476-4687</issn><issn>1476-4679</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqF0c1rFDEYBvAgil2rJ-8ShOrBjr75miRHKWoLK17sechMkjV1JrMmmcL-92bZxUopekogP543vA9CLwm8J8DUh2jKkhy0LYFHaEW4bBveKvkYrQCoakCx9gQ9y_kGAASR_Ck6IYpRKhhboevLsPnRmGk7hrJYh_24DGUxJcwxYxMtNmNxqY4Itw7bXTRTGMyIczHFZTx7PAW7qbcQ8dr8dPjr7taU-Bw98WbM7sXxPEXXnz99v7hs1t--XF18XDeDIFAa7ikMvRaeKiatdmA16w13yoJnCjznvvW9VkoZJaQmrpeDItZR22tNjGen6O0hd5vmX4vLpZtCHtw4mujmJXdKSqE1KKjyzT-lBCa5pPq_kMI-krMKX9-DN_NSNzXuDRdCEE0qendAQ5pzTs532xQmk3YdgW7fXvdXe1W_OkYu_eTsnT3WVcHZEZhca_DJxCHkP44C4ZyI_djzg8v1KW5cuvvbQ3N_A5qKscY</recordid><startdate>20080306</startdate><enddate>20080306</enddate><creator>Ives, Anthony R.</creator><creator>Einarsson, Árni</creator><creator>Jansen, Vincent A. A.</creator><creator>Gardarsson, Arnthor</creator><general>Nature Publishing Group UK</general><general>Nature Publishing</general><general>Nature Publishing Group</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QP</scope><scope>7QR</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T5</scope><scope>7TG</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>RC3</scope><scope>S0X</scope><scope>SOI</scope><scope>7QH</scope><scope>7U6</scope><scope>7UA</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope><scope>7X8</scope></search><sort><creationdate>20080306</creationdate><title>High-amplitude fluctuations and alternative dynamical states of midges in Lake Myvatn</title><author>Ives, Anthony R. ; Einarsson, Árni ; Jansen, Vincent A. A. ; Gardarsson, Arnthor</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-4f20cb95f2837d9e0d93ba4e8d0f380f44f6fb9888a85791eb7c81de2db991af3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Animal and plant ecology</topic><topic>Animal populations</topic><topic>Animal, plant and microbial ecology</topic><topic>Animals</topic><topic>Aquatic ecosystems</topic><topic>Biological and medical sciences</topic><topic>Bird populations</topic><topic>Birds</topic><topic>Chironomidae</topic><topic>Chironomidae - physiology</topic><topic>Computer Simulation</topic><topic>Demecology</topic><topic>Diptera</topic><topic>Ecological models</topic><topic>Ecosystem</topic><topic>Eukaryota - physiology</topic><topic>Fluctuations</topic><topic>Food</topic><topic>Food resources</topic><topic>Fresh Water</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Humanities and Social Sciences</topic><topic>Hydrology</topic><topic>Iceland</topic><topic>Insects</topic><topic>Lakes</topic><topic>letter</topic><topic>Models, Biological</topic><topic>multidisciplinary</topic><topic>Population Density</topic><topic>Population dynamics</topic><topic>Protozoa. Invertebrata</topic><topic>Science</topic><topic>Secondary productivity</topic><topic>Stochastic Processes</topic><topic>Tanytarsus gracilentus</topic><topic>Theory</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ives, Anthony R.</creatorcontrib><creatorcontrib>Einarsson, Árni</creatorcontrib><creatorcontrib>Jansen, Vincent A. A.</creatorcontrib><creatorcontrib>Gardarsson, Arnthor</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Chemoreception Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environment Abstracts</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Genetics Abstracts</collection><collection>SIRS Editorial</collection><collection>Environment Abstracts</collection><collection>Aqualine</collection><collection>Sustainability Science Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>MEDLINE - Academic</collection><jtitle>Nature</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ives, Anthony R.</au><au>Einarsson, Árni</au><au>Jansen, Vincent A. A.</au><au>Gardarsson, Arnthor</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>High-amplitude fluctuations and alternative dynamical states of midges in Lake Myvatn</atitle><jtitle>Nature</jtitle><stitle>Nature</stitle><addtitle>Nature</addtitle><date>2008-03-06</date><risdate>2008</risdate><volume>452</volume><issue>7183</issue><spage>84</spage><epage>87</epage><pages>84-87</pages><issn>0028-0836</issn><eissn>1476-4687</eissn><eissn>1476-4679</eissn><coden>NATUAS</coden><abstract>Feast or famine
Iceland's Lake Myvatn ecosystem is remarkable in that it is so dominated by a single species. Myvatn translates as 'midge lake', and it is the midge
Tanytarsus gracilentus
that dominates, comprising two-thirds of the lake's secondary productivity. Midge numbers undergo extreme fluctuations of almost six orders of magnitude with an irregular period of 4 to 7 years. A new analysis of 25 years of population monitoring shows that this phenomenon can be explained by alternative dynamical states with the amplitude of the fluctuations set by small subsidies of food entering the habitat. Small decreases in food supply due to human disturbances could explain recent increases in midge fluctuations. In conservation terms, midge populations are inherently unpredictable and are much more vulnerable to small disturbances in the lake than was expected. The Lake Myvatn midges illustrate the fundamental complexities of natural ecosystems and the difficulties in managing them. The cover shows mating swarms of male midges waiting for females to join them.
An example of complex population dynamics (the midge
Tanytarsus gracilentus
in Lake Myvatn, Iceland) is described and modelled.
Complex dynamics are often shown by simple ecological models
1
,
2
and have been clearly demonstrated in laboratory
3
,
4
and natural systems
5
,
6
,
7
,
8
,
9
. Yet many classes of theoretically possible dynamics are still poorly documented in nature. Here we study long-term time-series data of a midge,
Tanytarsus gracilentus
(Diptera: Chironomidae), in Lake Myvatn, Iceland. The midge undergoes density fluctuations of almost six orders of magnitude. Rather than regular cycles, however, these fluctuations have irregular periods of 4–7 years, indicating complex dynamics. We fit three consumer–resource models capable of qualitatively distinct dynamics to the data. Of these, the best-fitting model shows alternative dynamical states in the absence of environmental variability; depending on the initial midge densities, the model shows either fluctuations around a fixed point or high-amplitude cycles. This explains the observed complex population dynamics: high-amplitude but irregular fluctuations occur because stochastic variability causes the dynamics to switch between domains of attraction to the alternative states. In the model, the amplitude of fluctuations depends strongly on minute resource subsidies into the midge habitat. These resource subsidies may be sensitive to human-caused changes in the hydrology of the lake, with human impacts such as dredging leading to higher-amplitude fluctuations.
Tanytarsus gracilentus
is a key component of the Myvatn ecosystem, representing two-thirds of the secondary productivity of the lake
10
and providing vital food resources to fish and to breeding bird populations
11
,
12
. Therefore the high-amplitude, irregular fluctuations in midge densities generated by alternative dynamical states dominate much of the ecology of the lake.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>18322533</pmid><doi>10.1038/nature06610</doi><tpages>4</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0028-0836 |
ispartof | Nature, 2008-03, Vol.452 (7183), p.84-87 |
issn | 0028-0836 1476-4687 1476-4679 |
language | eng |
recordid | cdi_proquest_miscellaneous_877599080 |
source | MEDLINE; Nature Journals Online; SpringerLink Journals - AutoHoldings |
subjects | Animal and plant ecology Animal populations Animal, plant and microbial ecology Animals Aquatic ecosystems Biological and medical sciences Bird populations Birds Chironomidae Chironomidae - physiology Computer Simulation Demecology Diptera Ecological models Ecosystem Eukaryota - physiology Fluctuations Food Food resources Fresh Water Fundamental and applied biological sciences. Psychology Humanities and Social Sciences Hydrology Iceland Insects Lakes letter Models, Biological multidisciplinary Population Density Population dynamics Protozoa. Invertebrata Science Secondary productivity Stochastic Processes Tanytarsus gracilentus Theory Time series |
title | High-amplitude fluctuations and alternative dynamical states of midges in Lake Myvatn |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-19T16%3A16%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=High-amplitude%20fluctuations%20and%20alternative%20dynamical%20states%20of%20midges%20in%20Lake%20Myvatn&rft.jtitle=Nature&rft.au=Ives,%20Anthony%20R.&rft.date=2008-03-06&rft.volume=452&rft.issue=7183&rft.spage=84&rft.epage=87&rft.pages=84-87&rft.issn=0028-0836&rft.eissn=1476-4687&rft.coden=NATUAS&rft_id=info:doi/10.1038/nature06610&rft_dat=%3Cproquest_cross%3E70374729%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=204555191&rft_id=info:pmid/18322533&rfr_iscdi=true |