Multi-interaction network performance under global change: a shallow ecosystem experimental simulation

Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-inter...
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Autor*in:	Puche, Eric [verfasserIn] Rojo, Carmen [verfasserIn] Rodrigo, María A. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Food web Non-trophic interactions Charophytes Plankton Benthos

Übergeordnetes Werk:	Enthalten in: Hydrobiologia - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948, 847(2020), 17 vom: 28. Juli, Seite 3549-3569
Übergeordnetes Werk:	volume:847 ; year:2020 ; number:17 ; day:28 ; month:07 ; pages:3549-3569

Links:	Volltext

DOI / URN:	10.1007/s10750-020-04359-y

Katalog-ID:	SPR040894126

Internformat


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520			\|a Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations.
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700	1		\|a Rojo, Carmen \|e verfasserin \|4 aut
700	1		\|a Rodrigo, María A. \|e verfasserin \|4 aut
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912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_381
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
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912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
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912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
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912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
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912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
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author_variant	e p ep c r cr m a r ma mar
matchkey_str	article:15735117:2020----::utitrcinewrpromnenegoacagahloeoyt
hierarchy_sort_str	2020
bklnumber	42.92
publishDate	2020
allfields	10.1007/s10750-020-04359-y doi (DE-627)SPR040894126 (SPR)s10750-020-04359-y-e DE-627 ger DE-627 rakwb eng 570 ASE 42.92 bkl Puche, Eric verfasserin aut Multi-interaction network performance under global change: a shallow ecosystem experimental simulation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations. Food web (dpeaa)DE-He213 Non-trophic interactions (dpeaa)DE-He213 Charophytes (dpeaa)DE-He213 Plankton (dpeaa)DE-He213 Benthos (dpeaa)DE-He213 Rojo, Carmen verfasserin aut Rodrigo, María A. verfasserin aut Enthalten in Hydrobiologia Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 847(2020), 17 vom: 28. Juli, Seite 3549-3569 (DE-627)270929975 (DE-600)1478162-1 1573-5117 nnns volume:847 year:2020 number:17 day:28 month:07 pages:3549-3569 https://dx.doi.org/10.1007/s10750-020-04359-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.92 ASE AR 847 2020 17 28 07 3549-3569
spelling	10.1007/s10750-020-04359-y doi (DE-627)SPR040894126 (SPR)s10750-020-04359-y-e DE-627 ger DE-627 rakwb eng 570 ASE 42.92 bkl Puche, Eric verfasserin aut Multi-interaction network performance under global change: a shallow ecosystem experimental simulation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations. Food web (dpeaa)DE-He213 Non-trophic interactions (dpeaa)DE-He213 Charophytes (dpeaa)DE-He213 Plankton (dpeaa)DE-He213 Benthos (dpeaa)DE-He213 Rojo, Carmen verfasserin aut Rodrigo, María A. verfasserin aut Enthalten in Hydrobiologia Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 847(2020), 17 vom: 28. Juli, Seite 3549-3569 (DE-627)270929975 (DE-600)1478162-1 1573-5117 nnns volume:847 year:2020 number:17 day:28 month:07 pages:3549-3569 https://dx.doi.org/10.1007/s10750-020-04359-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.92 ASE AR 847 2020 17 28 07 3549-3569
allfields_unstemmed	10.1007/s10750-020-04359-y doi (DE-627)SPR040894126 (SPR)s10750-020-04359-y-e DE-627 ger DE-627 rakwb eng 570 ASE 42.92 bkl Puche, Eric verfasserin aut Multi-interaction network performance under global change: a shallow ecosystem experimental simulation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations. Food web (dpeaa)DE-He213 Non-trophic interactions (dpeaa)DE-He213 Charophytes (dpeaa)DE-He213 Plankton (dpeaa)DE-He213 Benthos (dpeaa)DE-He213 Rojo, Carmen verfasserin aut Rodrigo, María A. verfasserin aut Enthalten in Hydrobiologia Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 847(2020), 17 vom: 28. Juli, Seite 3549-3569 (DE-627)270929975 (DE-600)1478162-1 1573-5117 nnns volume:847 year:2020 number:17 day:28 month:07 pages:3549-3569 https://dx.doi.org/10.1007/s10750-020-04359-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.92 ASE AR 847 2020 17 28 07 3549-3569
allfieldsGer	10.1007/s10750-020-04359-y doi (DE-627)SPR040894126 (SPR)s10750-020-04359-y-e DE-627 ger DE-627 rakwb eng 570 ASE 42.92 bkl Puche, Eric verfasserin aut Multi-interaction network performance under global change: a shallow ecosystem experimental simulation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations. Food web (dpeaa)DE-He213 Non-trophic interactions (dpeaa)DE-He213 Charophytes (dpeaa)DE-He213 Plankton (dpeaa)DE-He213 Benthos (dpeaa)DE-He213 Rojo, Carmen verfasserin aut Rodrigo, María A. verfasserin aut Enthalten in Hydrobiologia Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 847(2020), 17 vom: 28. Juli, Seite 3549-3569 (DE-627)270929975 (DE-600)1478162-1 1573-5117 nnns volume:847 year:2020 number:17 day:28 month:07 pages:3549-3569 https://dx.doi.org/10.1007/s10750-020-04359-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.92 ASE AR 847 2020 17 28 07 3549-3569
allfieldsSound	10.1007/s10750-020-04359-y doi (DE-627)SPR040894126 (SPR)s10750-020-04359-y-e DE-627 ger DE-627 rakwb eng 570 ASE 42.92 bkl Puche, Eric verfasserin aut Multi-interaction network performance under global change: a shallow ecosystem experimental simulation 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations. Food web (dpeaa)DE-He213 Non-trophic interactions (dpeaa)DE-He213 Charophytes (dpeaa)DE-He213 Plankton (dpeaa)DE-He213 Benthos (dpeaa)DE-He213 Rojo, Carmen verfasserin aut Rodrigo, María A. verfasserin aut Enthalten in Hydrobiologia Dordrecht [u.a.] : Springer Science + Business Media B.V, 1948 847(2020), 17 vom: 28. Juli, Seite 3549-3569 (DE-627)270929975 (DE-600)1478162-1 1573-5117 nnns volume:847 year:2020 number:17 day:28 month:07 pages:3549-3569 https://dx.doi.org/10.1007/s10750-020-04359-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_381 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2360 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 42.92 ASE AR 847 2020 17 28 07 3549-3569
language	English
source	Enthalten in Hydrobiologia 847(2020), 17 vom: 28. Juli, Seite 3549-3569 volume:847 year:2020 number:17 day:28 month:07 pages:3549-3569
sourceStr	Enthalten in Hydrobiologia 847(2020), 17 vom: 28. Juli, Seite 3549-3569 volume:847 year:2020 number:17 day:28 month:07 pages:3549-3569
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Food web Non-trophic interactions Charophytes Plankton Benthos
dewey-raw	570
isfreeaccess_bool	false
container_title	Hydrobiologia
authorswithroles_txt_mv	Puche, Eric @@aut@@ Rojo, Carmen @@aut@@ Rodrigo, María A. @@aut@@
publishDateDaySort_date	2020-07-28T00:00:00Z
hierarchy_top_id	270929975
dewey-sort	3570
id	SPR040894126
language_de	englisch
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author	Puche, Eric
spellingShingle	Puche, Eric ddc 570 bkl 42.92 misc Food web misc Non-trophic interactions misc Charophytes misc Plankton misc Benthos Multi-interaction network performance under global change: a shallow ecosystem experimental simulation
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topic_title	570 ASE 42.92 bkl Multi-interaction network performance under global change: a shallow ecosystem experimental simulation Food web (dpeaa)DE-He213 Non-trophic interactions (dpeaa)DE-He213 Charophytes (dpeaa)DE-He213 Plankton (dpeaa)DE-He213 Benthos (dpeaa)DE-He213
topic	ddc 570 bkl 42.92 misc Food web misc Non-trophic interactions misc Charophytes misc Plankton misc Benthos
topic_unstemmed	ddc 570 bkl 42.92 misc Food web misc Non-trophic interactions misc Charophytes misc Plankton misc Benthos
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title	Multi-interaction network performance under global change: a shallow ecosystem experimental simulation
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title_full	Multi-interaction network performance under global change: a shallow ecosystem experimental simulation
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journal	Hydrobiologia
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author_browse	Puche, Eric Rojo, Carmen Rodrigo, María A.
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title_sort	multi-interaction network performance under global change: a shallow ecosystem experimental simulation
title_auth	Multi-interaction network performance under global change: a shallow ecosystem experimental simulation
abstract	Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations.
abstractGer	Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations.
abstract_unstemmed	Abstract Shallow freshwater ecosystems are structurally complex with different, highly-coupled habitats: the pelagic, the within-macrophyte-meadow, and the benthic. Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. Warming favoured macrophyte growth and significantly increased the network’s size and nestedness, with zooplanktonic herbivores playing a connector role. The within-meadow and benthic habitats’ nodes were highly influential for the network, whatever the scenario. The benthic nodes were the most resistant to the disturbances. Therefore, a phytoplankton- and a macrophyte-dominated configuration was attained under UVR and warming scenarios, respectively. The macrophyte meadows, and the community linked to them, were pivotal in the achievement of these contrasting configurations.
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title_short	Multi-interaction network performance under global change: a shallow ecosystem experimental simulation
url	https://dx.doi.org/10.1007/s10750-020-04359-y
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author2	Rojo, Carmen Rodrigo, María A.
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up_date	2024-07-03T18:56:05.735Z
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Submerged macrophyte meadows support benthic microorganisms and provide the trophic network with non-trophic relationships. Multi-interaction network analysis disentangles how these systems respond to changes in global-change-related factors. We examined whether (i) populations’ responses to such disturbances are habitat-dependent, and (ii) if whole-community configurations are different. We performed an indoor-mesocosm experiment (“control” plus two disturbed scenarios: enhanced ultraviolet radiation (UVR) or temperature), recreating shallow freshwater ecosystems. We assessed the population-nodes’ carbon biomass, their resistance and resilience to the disturbances, and global- and node-scale structural parameters of the multi-interaction network. Under the UVR-scenario, the phytoplankton C-biomass (from pelagic and within-meadow habitats) was significantly the highest, with mixotrophs dominating. 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Multi-interaction network performance under global change: a shallow ecosystem experimental simulation

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