Trophic structure of fish communities is fundamental for ecosystem-based fisheries management, and trophic spectrum classifies fishes by their positions in food web, which provides a simple summary on the trophic stru...Trophic structure of fish communities is fundamental for ecosystem-based fisheries management, and trophic spectrum classifies fishes by their positions in food web, which provides a simple summary on the trophic structure and ecosystem function. In this study, both fish biomass and abundance trophic spectra were constructed to study the spatial and seasonal variations in the trophic structure of demersal fish assemblages in Jiaozhou Bay, China. Data were collected from four seasonal bottom trawl surveys in Jiaozhou Bay from February to November in 2011. Trophic levels(TLs) of fishes were determined by nitrogen stable isotope analysis. This study indicated that most of these trophic spectra had a single peak at trophic level(TL) of 3.4–3.7, suggesting that demersal fish assemblages of Jiaozhou Bay were dominated by secondary consumers(eg. Pholis fangi and Amblychaeturichthys hexanema). The spatial and seasonal variations of trophic spectra of Jiaozhou Bay reflected the influence of fish reproduction, fishing pressure and migration of fishes. Two-way analysis of variance(ANOVA) showed that seasonal variations in trophic spectra in Jiaozhou Bay were significant(P <0.05), but variations among different areas were not significant( P >0.05). The trophic spectrum has been proved to be a useful tool to monitor the trophic structure of fish assemblages. This study highlighted the comprehensive application of fish biomass and abundance trophic spectra in the study on trophic structure of fish assemblages.展开更多
Alosa pseudoharengus<span style="font-family:;" "=""><span style="font-family:Verdana;"> is an anadromous fish that migrates from marine to freshwaters to spawn. The earl...Alosa pseudoharengus<span style="font-family:;" "=""><span style="font-family:Verdana;"> is an anadromous fish that migrates from marine to freshwaters to spawn. The early larval and juvenile forms are known to be planktivorous, where heavy feeding upon their preferred food source of large crustacean zooplankton often results in changes to composition and size structure within this trophic guild which in turn can result in shifts within the trophic spectrum and a classic trophic cascade. In this study of Lower Mill Pond, Brewster MA, we evaluated the feeding strategy of juvenile </span><i><span style="font-family:Verdana;">Alosa</span></i><span style="font-family:Verdana;"> to </span><span style="font-family:Verdana;">determine whether juvenile alewife switch</span></span><span style="font-family:Verdana;">es</span><span style="font-family:Verdana;"> to feeding</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">largely on cyanobacteria and whether cyanotoxins microcystin (MC) and</span><span style="font-family:;" "=""> <i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;">-methlyamino-L-alanine (BMAA) bioaccumulate in their muscle tissue. Within 15</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">-</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">30 days of their estimated spawning date, overexploitation of crustacean zooplankton resulted in a shift from planktivory to benthic detritivory for the majority of their life history, although this did not reduce their condition based on weight-length relationships (Log Wwt. = <sub>-</sub></span><span style="font-family:;" "=""><span style="font-family:Verdana;">5.503 + (3.101 </span><span style="font-family:Verdana;">×</span><span><span style="font-family:Verdana;"> Log Length). Mean MC (0.003 μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>g<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt) and BMAA (4.49 μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>g<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt) concentrations in the muscle tissue of out-migrating juveniles were presumably derived from benthic subsidies, exporting freshwater cyanotoxins and creating a potential transfer to consumer of 0.0012 μg MC and 1.85 μg BMAA. Biodilution of MC and biomagnification of BMAA were observed. Depletion of the crustacean biomass by >95% resulted in an increase in the rotifer biomass, where Log crustacean (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt) = - </span></span><span style="font-family:Verdana;">5.642 -</span><span style="font-family:Verdana;"> (7.976 </span><span style="font-family:Verdana;">×</span><span><span style="font-family:Verdana;"> Log rotifer (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt), and an increase in the amount of potentially edible <50 μm cyanobacterial biomass (r(8) =</span></span></span><span style="font-family:;" "=""> - </span><span style="font-family:;" "=""><span><span style="font-family:Verdana;">0.676, </span><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"> = 0.046). A secondary cascade appears to have been maintained via invertebrate planktivory by </span><i><span style="font-family:Verdana;">Chaoborus </span></i><span style="font-family:Verdana;">spp.</span></span></span><span style="font-family:Verdana;">;</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> however for a period of time edible cyanobacteria growth exceeded grazing pressure, resulting in a bloom of edible cyanobacteria. Continued grazing resulted in a shift to larger, inedible cyanobacterial communities where late season (October) surface accumulations were observed. The mass occurrence of juvenile </span><i><span style="font-family:Verdana;">Alosa</span></i> <i><span style="font-family:Verdana;">pseudoharengus</span></i><span style="font-family:Verdana;"> appears to be coupled to the sequential increases of cyanobacterial biomass via its influence on the trophic spectrum. Overall, the rotifer biomass (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;">) was positively correlated with MC (pg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>mL<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;">) (r(8) = 0.577, </span><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"> = 0.104), and negatively correlated with BMAA (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;">) (r(8) = </span><span style="font-family:'Verdana, Helvetica, Arial';"><span style="background-color:#FFFFFF;">- </span></span></span><span style="font-family:;" "=""><span><span style="font-family:Verdana;">0.388, </span><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"> = 0.373) in the edible cyanobacterial fraction of the water column, although neither of these were significant.</span></span></span>展开更多
Multispecies ecological models have been used for predicting the effects of fishing activity and evaluating the performance of management strategies. Size-spectrum models are one type of physiologically-structured eco...Multispecies ecological models have been used for predicting the effects of fishing activity and evaluating the performance of management strategies. Size-spectrum models are one type of physiologically-structured ecological model that provide a feasible approach to describing fish communities in terms of individual dietary variation and ontogenetic niche shift. Despite the potential of ecological models in improving our understanding of ecosystems, their application is usually limited for data-poor fisheries. As a first step in implementing ecosystem-based fisheries management(EBFM), this study built a size-spectrum model for the fish community in the Haizhou Bay, China. We describe data collection procedures and model parameterization to facilitate the implementation of such size-spectrum models for future studies of data-poor ecosystems. The effects of fishing on the ecosystem were exemplified with a range of fishing effort and were monitored with a set of ecological indicators. Total community biomass, biodiversity index, W-statistic, LFI(Large fish index), Mean W(mean body weight) and Slope(slope of community size spectra) showed a strong non-linear pattern in response to fishing pressure, and largest fishing effort did not generate the most drastic responses in certain scenarios. We emphasize the value and feasibility of developing size-spectrum models to capture ecological dynamics and suggest limitations as well as potential for model improvement. This study aims to promote a wide use of this type of model in support of EBFM.展开更多
基金Supported by the National Natural Science Foundation of China(No.41006083)the Shandong Provincial Natural Science Foundation,China(No.ZR2010DQ026)+1 种基金the Specialized Research Fund for the Doctoral Program of Higher Education of China(No.20120132130001)the Fundamental Research Funds for the Central Universities(No.201262004)
文摘Trophic structure of fish communities is fundamental for ecosystem-based fisheries management, and trophic spectrum classifies fishes by their positions in food web, which provides a simple summary on the trophic structure and ecosystem function. In this study, both fish biomass and abundance trophic spectra were constructed to study the spatial and seasonal variations in the trophic structure of demersal fish assemblages in Jiaozhou Bay, China. Data were collected from four seasonal bottom trawl surveys in Jiaozhou Bay from February to November in 2011. Trophic levels(TLs) of fishes were determined by nitrogen stable isotope analysis. This study indicated that most of these trophic spectra had a single peak at trophic level(TL) of 3.4–3.7, suggesting that demersal fish assemblages of Jiaozhou Bay were dominated by secondary consumers(eg. Pholis fangi and Amblychaeturichthys hexanema). The spatial and seasonal variations of trophic spectra of Jiaozhou Bay reflected the influence of fish reproduction, fishing pressure and migration of fishes. Two-way analysis of variance(ANOVA) showed that seasonal variations in trophic spectra in Jiaozhou Bay were significant(P <0.05), but variations among different areas were not significant( P >0.05). The trophic spectrum has been proved to be a useful tool to monitor the trophic structure of fish assemblages. This study highlighted the comprehensive application of fish biomass and abundance trophic spectra in the study on trophic structure of fish assemblages.
文摘Alosa pseudoharengus<span style="font-family:;" "=""><span style="font-family:Verdana;"> is an anadromous fish that migrates from marine to freshwaters to spawn. The early larval and juvenile forms are known to be planktivorous, where heavy feeding upon their preferred food source of large crustacean zooplankton often results in changes to composition and size structure within this trophic guild which in turn can result in shifts within the trophic spectrum and a classic trophic cascade. In this study of Lower Mill Pond, Brewster MA, we evaluated the feeding strategy of juvenile </span><i><span style="font-family:Verdana;">Alosa</span></i><span style="font-family:Verdana;"> to </span><span style="font-family:Verdana;">determine whether juvenile alewife switch</span></span><span style="font-family:Verdana;">es</span><span style="font-family:Verdana;"> to feeding</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">largely on cyanobacteria and whether cyanotoxins microcystin (MC) and</span><span style="font-family:;" "=""> <i><span style="font-family:Verdana;">β</span></i><span style="font-family:Verdana;">-methlyamino-L-alanine (BMAA) bioaccumulate in their muscle tissue. Within 15</span></span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">-</span><span style="font-family:;" "=""> </span><span style="font-family:Verdana;">30 days of their estimated spawning date, overexploitation of crustacean zooplankton resulted in a shift from planktivory to benthic detritivory for the majority of their life history, although this did not reduce their condition based on weight-length relationships (Log Wwt. = <sub>-</sub></span><span style="font-family:;" "=""><span style="font-family:Verdana;">5.503 + (3.101 </span><span style="font-family:Verdana;">×</span><span><span style="font-family:Verdana;"> Log Length). Mean MC (0.003 μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>g<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt) and BMAA (4.49 μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>g<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt) concentrations in the muscle tissue of out-migrating juveniles were presumably derived from benthic subsidies, exporting freshwater cyanotoxins and creating a potential transfer to consumer of 0.0012 μg MC and 1.85 μg BMAA. Biodilution of MC and biomagnification of BMAA were observed. Depletion of the crustacean biomass by >95% resulted in an increase in the rotifer biomass, where Log crustacean (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt) = - </span></span><span style="font-family:Verdana;">5.642 -</span><span style="font-family:Verdana;"> (7.976 </span><span style="font-family:Verdana;">×</span><span><span style="font-family:Verdana;"> Log rotifer (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;"> dwt), and an increase in the amount of potentially edible <50 μm cyanobacterial biomass (r(8) =</span></span></span><span style="font-family:;" "=""> - </span><span style="font-family:;" "=""><span><span style="font-family:Verdana;">0.676, </span><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"> = 0.046). A secondary cascade appears to have been maintained via invertebrate planktivory by </span><i><span style="font-family:Verdana;">Chaoborus </span></i><span style="font-family:Verdana;">spp.</span></span></span><span style="font-family:Verdana;">;</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> however for a period of time edible cyanobacteria growth exceeded grazing pressure, resulting in a bloom of edible cyanobacteria. Continued grazing resulted in a shift to larger, inedible cyanobacterial communities where late season (October) surface accumulations were observed. The mass occurrence of juvenile </span><i><span style="font-family:Verdana;">Alosa</span></i> <i><span style="font-family:Verdana;">pseudoharengus</span></i><span style="font-family:Verdana;"> appears to be coupled to the sequential increases of cyanobacterial biomass via its influence on the trophic spectrum. Overall, the rotifer biomass (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;">) was positively correlated with MC (pg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>mL<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;">) (r(8) = 0.577, </span><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"> = 0.104), and negatively correlated with BMAA (μg<span style="font-family:Verdana, Helvetica, Arial;white-space:normal;background-color:#FFFFFF;">·</span>L<span style="font-size:10px;"><sup>-1</sup></span></span><span style="font-family:Verdana;">) (r(8) = </span><span style="font-family:'Verdana, Helvetica, Arial';"><span style="background-color:#FFFFFF;">- </span></span></span><span style="font-family:;" "=""><span><span style="font-family:Verdana;">0.388, </span><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"> = 0.373) in the edible cyanobacterial fraction of the water column, although neither of these were significant.</span></span></span>
基金The Special Fund for Agriscientific Research in the Public Interest under contract No.201303050the Fundamental Research Funds for the Central Universities under contract Nos 201022001 and 201262004
文摘Multispecies ecological models have been used for predicting the effects of fishing activity and evaluating the performance of management strategies. Size-spectrum models are one type of physiologically-structured ecological model that provide a feasible approach to describing fish communities in terms of individual dietary variation and ontogenetic niche shift. Despite the potential of ecological models in improving our understanding of ecosystems, their application is usually limited for data-poor fisheries. As a first step in implementing ecosystem-based fisheries management(EBFM), this study built a size-spectrum model for the fish community in the Haizhou Bay, China. We describe data collection procedures and model parameterization to facilitate the implementation of such size-spectrum models for future studies of data-poor ecosystems. The effects of fishing on the ecosystem were exemplified with a range of fishing effort and were monitored with a set of ecological indicators. Total community biomass, biodiversity index, W-statistic, LFI(Large fish index), Mean W(mean body weight) and Slope(slope of community size spectra) showed a strong non-linear pattern in response to fishing pressure, and largest fishing effort did not generate the most drastic responses in certain scenarios. We emphasize the value and feasibility of developing size-spectrum models to capture ecological dynamics and suggest limitations as well as potential for model improvement. This study aims to promote a wide use of this type of model in support of EBFM.