Rapid eco‐phenotypic feedback and the temperature response of biomass dynamics
Biomass dynamics capture information on population dynamics and ecosystem‐level processes (e.g., changes in production over time). Understanding how rising temperatures associated with global climate change influence biomass dynamics is thus a pressing issue in ecology. The total biomass of a specie...
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description | Biomass dynamics capture information on population dynamics and ecosystem‐level processes (e.g., changes in production over time). Understanding how rising temperatures associated with global climate change influence biomass dynamics is thus a pressing issue in ecology. The total biomass of a species depends on its density and its average mass. Consequently, disentangling how biomass dynamics responds to increasingly warm and variable temperatures ultimately depends on understanding how temperature influences both density and mass dynamics. Here, we address this issue by keeping track of experimental microbial populations growing to carrying capacity for 15 days at two different temperatures, and in the presence and absence of temperature variability. We develop a simple mathematical expression to partition the contribution of changes in density and mass to changes in biomass and assess how temperature responses in either one influence biomass shifts. Moreover, we use time‐series analysis (Convergent Cross Mapping) to address how temperature and temperature variability influence reciprocal effects of density on mass and vice versa. We show that temperature influences biomass through its effects on density and mass dynamics, which have opposite effects on biomass and can offset each other. We also show that temperature variability influences biomass, but that effect is independent of any effects on density or mass dynamics. Last, we show that reciprocal effects of density and mass shift significantly across temperature regimes, suggesting that rapid and environment‐dependent eco‐phenotypic dynamics underlie biomass responses. Overall, our results connect temperature effects on population and phenotypic dynamics to explain how biomass responds to temperature regimes, thus shedding light on processes at play in cosmopolitan and abundant microbes as the world experiences increasingly warm and variable temperatures.
We show that temperature and temperature fluctuations influence biomass dynamics through distinct effects on body size and density. |
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We show that temperature and temperature fluctuations influence biomass dynamics through distinct effects on body size and density.</description><identifier>ISSN: 2045-7758</identifier><identifier>EISSN: 2045-7758</identifier><identifier>DOI: 10.1002/ece3.9685</identifier><identifier>PMID: 36644704</identifier><language>eng</language><publisher>England: John Wiley & Sons, Inc</publisher><subject>Autecology ; Biomass ; Carbon ; Carrying capacity ; Climate change ; Density ; Dynamics ; Ecological effects ; Ecosystems ; ENVIRONMENTAL SCIENCES ; Environmental Sciences & Ecology ; Evolutionary Biology ; Functional Ecology ; Global Change Ecology ; Global climate ; Humidity ; Influence ; Laboratories ; Metabolism ; Microorganisms ; Population ; Population dynamics ; Predation ; Respiration ; temperature ; Temperature effects ; temperature size rule ; Time series ; warming</subject><ispartof>Ecology and evolution, 2023-01, Vol.13 (1), p.e9685-n/a</ispartof><rights>2023 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.</rights><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4705-b85ce7194d2eced1effe57aa4729ccc433a75bdb56badf7c5e1821b1f3651a583</citedby><cites>FETCH-LOGICAL-c4705-b85ce7194d2eced1effe57aa4729ccc433a75bdb56badf7c5e1821b1f3651a583</cites><orcidid>0000-0003-4090-2677 ; 0000-0001-5552-8636 ; 0000-0002-5083-6418 ; 0000000155528636 ; 0000000340902677 ; 0000000250836418</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831973/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9831973/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,728,781,785,865,886,1418,11564,27926,27927,45576,45577,46054,46478,53793,53795</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36644704$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1908883$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Gibert, Jean P.</creatorcontrib><creatorcontrib>Wieczynski, Daniel J.</creatorcontrib><creatorcontrib>Han, Ze‐Yi</creatorcontrib><creatorcontrib>Yammine, Andrea</creatorcontrib><creatorcontrib>Duke Univ., Durham, NC (United States)</creatorcontrib><title>Rapid eco‐phenotypic feedback and the temperature response of biomass dynamics</title><title>Ecology and evolution</title><addtitle>Ecol Evol</addtitle><description>Biomass dynamics capture information on population dynamics and ecosystem‐level processes (e.g., changes in production over time). Understanding how rising temperatures associated with global climate change influence biomass dynamics is thus a pressing issue in ecology. The total biomass of a species depends on its density and its average mass. Consequently, disentangling how biomass dynamics responds to increasingly warm and variable temperatures ultimately depends on understanding how temperature influences both density and mass dynamics. Here, we address this issue by keeping track of experimental microbial populations growing to carrying capacity for 15 days at two different temperatures, and in the presence and absence of temperature variability. We develop a simple mathematical expression to partition the contribution of changes in density and mass to changes in biomass and assess how temperature responses in either one influence biomass shifts. Moreover, we use time‐series analysis (Convergent Cross Mapping) to address how temperature and temperature variability influence reciprocal effects of density on mass and vice versa. We show that temperature influences biomass through its effects on density and mass dynamics, which have opposite effects on biomass and can offset each other. We also show that temperature variability influences biomass, but that effect is independent of any effects on density or mass dynamics. Last, we show that reciprocal effects of density and mass shift significantly across temperature regimes, suggesting that rapid and environment‐dependent eco‐phenotypic dynamics underlie biomass responses. Overall, our results connect temperature effects on population and phenotypic dynamics to explain how biomass responds to temperature regimes, thus shedding light on processes at play in cosmopolitan and abundant microbes as the world experiences increasingly warm and variable temperatures.
We show that temperature and temperature fluctuations influence biomass dynamics through distinct effects on body size and density.</description><subject>Autecology</subject><subject>Biomass</subject><subject>Carbon</subject><subject>Carrying capacity</subject><subject>Climate change</subject><subject>Density</subject><subject>Dynamics</subject><subject>Ecological effects</subject><subject>Ecosystems</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Environmental Sciences & Ecology</subject><subject>Evolutionary Biology</subject><subject>Functional Ecology</subject><subject>Global Change Ecology</subject><subject>Global climate</subject><subject>Humidity</subject><subject>Influence</subject><subject>Laboratories</subject><subject>Metabolism</subject><subject>Microorganisms</subject><subject>Population</subject><subject>Population dynamics</subject><subject>Predation</subject><subject>Respiration</subject><subject>temperature</subject><subject>Temperature effects</subject><subject>temperature size rule</subject><subject>Time series</subject><subject>warming</subject><issn>2045-7758</issn><issn>2045-7758</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kc2KFDEURoMozjDOwheQoCsXPZNUkkpqI0jT_sCAIroOqZtbdsaupEzSSu98BJ_RJ7HKHodxYTYJ5HDu_fgIeczZBWesuURAcdG1Rt0jpw2TaqW1MvfvvE_IeSnXbD4tayTTD8mJaFspNZOn5P0HNwVPEdKvHz-nLcZUD1MAOiD63sEX6qKndYu04jhhdnWfkWYsU4oFaRpoH9LoSqH-EN0YoDwiDwa3K3h-c5-RT682H9dvVlfvXr9dv7xawTxYrXqjADXvpG_mAJ7jMKDSzknddAAghXBa9b5Xbe_8oEEhNw3v-SBaxZ0y4oy8OHqnfT-iB4w1u52dchhdPtjkgv33J4at_Zy-2c4I3mkxC54eBanUYAuEirCFFCNCtbxjxpgFenYzJaeveyzVXqd9jnMw2-g5h-6kWqjnRwpyKiXjcLsGZ3YpyS4l2aWkmX1yd-9b8m8lM3B5BL6HHR7-b7Kb9Ub8Uf4GLGed4A</recordid><startdate>202301</startdate><enddate>202301</enddate><creator>Gibert, Jean P.</creator><creator>Wieczynski, Daniel J.</creator><creator>Han, Ze‐Yi</creator><creator>Yammine, Andrea</creator><general>John Wiley & Sons, Inc</general><general>Wiley</general><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7X2</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M0K</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>RC3</scope><scope>SOI</scope><scope>OTOTI</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-4090-2677</orcidid><orcidid>https://orcid.org/0000-0001-5552-8636</orcidid><orcidid>https://orcid.org/0000-0002-5083-6418</orcidid><orcidid>https://orcid.org/0000000155528636</orcidid><orcidid>https://orcid.org/0000000340902677</orcidid><orcidid>https://orcid.org/0000000250836418</orcidid></search><sort><creationdate>202301</creationdate><title>Rapid eco‐phenotypic feedback and the temperature response of biomass dynamics</title><author>Gibert, Jean P. ; 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Understanding how rising temperatures associated with global climate change influence biomass dynamics is thus a pressing issue in ecology. The total biomass of a species depends on its density and its average mass. Consequently, disentangling how biomass dynamics responds to increasingly warm and variable temperatures ultimately depends on understanding how temperature influences both density and mass dynamics. Here, we address this issue by keeping track of experimental microbial populations growing to carrying capacity for 15 days at two different temperatures, and in the presence and absence of temperature variability. We develop a simple mathematical expression to partition the contribution of changes in density and mass to changes in biomass and assess how temperature responses in either one influence biomass shifts. Moreover, we use time‐series analysis (Convergent Cross Mapping) to address how temperature and temperature variability influence reciprocal effects of density on mass and vice versa. We show that temperature influences biomass through its effects on density and mass dynamics, which have opposite effects on biomass and can offset each other. We also show that temperature variability influences biomass, but that effect is independent of any effects on density or mass dynamics. Last, we show that reciprocal effects of density and mass shift significantly across temperature regimes, suggesting that rapid and environment‐dependent eco‐phenotypic dynamics underlie biomass responses. Overall, our results connect temperature effects on population and phenotypic dynamics to explain how biomass responds to temperature regimes, thus shedding light on processes at play in cosmopolitan and abundant microbes as the world experiences increasingly warm and variable temperatures.
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subjects | Autecology Biomass Carbon Carrying capacity Climate change Density Dynamics Ecological effects Ecosystems ENVIRONMENTAL SCIENCES Environmental Sciences & Ecology Evolutionary Biology Functional Ecology Global Change Ecology Global climate Humidity Influence Laboratories Metabolism Microorganisms Population Population dynamics Predation Respiration temperature Temperature effects temperature size rule Time series warming |
title | Rapid eco‐phenotypic feedback and the temperature response of biomass dynamics |
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