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  • 2020-2024  (32)
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  • 1
    Keywords: seagrass ; tropical ; trait-based approach ; Hochschulschrift
    Description / Table of Contents: Seagrasses are marine flowering plants that inhabit the coastal area forming important ecosystems due to a number of ecosystem services they provide. However, they are subjected to both global and local impacts, including warming water temperatures and eutrophication, which threaten their survival. Despite the fact that the most diverse seagrass meadows are found in the tropical Indo-Pacific Region, there is less information about tropical species than their temperate counterparts. There are, therefore, knowledge gaps in the response of tropical seagrass meadows to environmental drivers and their links to ecosystem functions and services. In the last three decades, trait-based frameworks (TBFs) have advanced different fields of ecological research through establishing novel links between functional traits, environmental drivers and ecosystem functions. A number of concepts have been proposed in order to answer different ecological questions using a functional trait-based perspective. This field of research has been widely developed in terrestrial plants. However, the use of TBFs in seagrass research is currently in its infancy. The goal of this dissertation is the incorporation of TBFs into seagrass ecological research, by establishing novel links between seagrass traits, environmental drivers and ecosystem functions and services. The study site chosen for this work was Unguja Island (Zanzibar Archipelago, Tanzania). Unguja Island is located in the tropical Indo-Pacific region, and is considered one of the hotspots of seagrass biodiversity worldwide. The seagrass meadows in Unguja Island are subjected to a wide range of conditions, from pristine and oligotrophic to heavily impacted and eutrophic. Due to its high seagrass diversity and the variety of conditions under which seagrass survive, Unguja Island is a perfect laboratory for the study of seagrass communities using a TBF. The research questions selected for this dissertation have the goal of understanding the importance of traits at different organizational levels, from their individual responses to environmental drivers, to the effect of traits on the interspecific competition of seagrass species and, lastly, their effect on ecosystem functioning. First, to assess the knowledge gaps in seagrass trait-based research, I carried out a systematic review of the seagrass literature. The analysis showed that seagrass trait research has mostly focused on the effect of environmental drivers on traits (65%), whereas links between traits and functions are less common (33%). Despite the richness of trait-based data available, concepts related to TBFs are rare in the seagrass literature (7% of studies). These knowledge gaps in seagrasses indicate ample potential for further research. In order to address these knowledge gaps, I propose a TBF that can help guide future seagrass research. Secondly, the responses of traits of individual seagrass plants of tropical seagrass species (Halophila stipulacea, Cymodocea serrulata, Thalassia hemprichii and seedlings of Enhalus acoroides) were assessed to two environmental drivers: temperature (global) and nutrient enrichment (local). To achieve this aim, a 1-month experiment under laboratory conditions combining two temperature (maximum ambient temperature and current average temperature) and two nutrient (high and low nitrogen and phosphorus concentrations) treatments was conducted. The results of this experiment showed that trait responses are species-specific, and that temperature was a much more significant driver than nutrient enrichment. In the case of the seedlings of E. acoroides, they rely energetically in the reserves within the seedling and increasing temperature resulted in faster seedling development. T. hemprichii and C. serrulata showed an enhanced morphology, while the contrary was true for H. stipulacea. These results highlight the different effects and strategies that co-inhabiting seagrasses have in response to environmental changes. Thirdly, an experiment was developed in the field to test the effects of light shading and trampling due to the farming of Euchema denticulatum on seagrass meadows, an environmental driver endemic to the tropical region. Areas covered by T. hemprichii, H. stipulacea were selected for the building of seaweed farms for 3 months. Light was reduced in the seaweed farm plots by 75 to 90% by the end of a seaweed growth cycle. The responses of seagrass were, again, species-specific. H. stipulacea, despite its capacity for rapid growth, was significantly affected by the combination of shading and trampling under the seaweed farm treatment, while the climax seagrass species T. hemprichii was unaffected. Fourthly, to link individual plant traits to seagrass community level processes, I carried out an observational study in Unguja Island. The goal was to understand how seagrass traits linked to light and nutrient competition affected space preemption among seagrass species under different trophic scenarios. Traits determining the functional strategy of the seagrass showed that there was a size gradient in the seagrass species. When tested the effect of the difference in the functional strategy of species pairs, the probability of preemption was highest for the bigger species, increased when their size difference was higher and was not affected by the eutrophication. This indicated that the competitive interactions among seagrass species were asymmetrical, i.e. a species had a negative effect on another species, while the effect was not reciprocal and the driver behind space preemption was determined by traits related to the size of the seagrass plants. Fifthly, to study the link between seagrass traits and ecosystem functions, sediment cores were collected and compared within seagrass meadows of varying communities across sites of Unguja Island. The goal was to find out which seagrass traits are relevant indicators of carbon storage, and which environmental conditions constrain the storage of carbon in the sediments. Very fine sediments (〈125 μm) were negatively correlated to organic carbon in the sediment. Leaf area index of seagrass was positively correlated to organic carbon content in the sediment, indicating an effect of particle trapping and retention. Root maximum length was the most important functional trait driving carbon storage, suggesting that rooting depth is of fundamental importance for carbon accumulation. To conclude, TBFs can help to push seagrass research forward by the study of traits from the individual plant level, scaling up their effects on the seagrass community, interspecific competition and, lastly, ecosystem functioning. The individual trait responses of seagrass to environmental drivers, through adaptive processes, have fundamental consequences for interspecific competition and, ecosystem function. Changes in seagrass morphology can determine the outcome of interspecific competition for nutrients and light and, therefore, the final configuration of seagrass meadows. These traits of the species in the meadow ultimately determine the capacity of the meadow for carbon storage, which shows a prime example of how traits can affect important seagrass ecosystem functions.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (296 Seiten) , Illustrationen
    Language: English
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  • 2
    Publication Date: 2023-04-05
    Description: Contrasting models predict two different climate change scenarios for the Southern Ocean (SO), forecasting either less or stronger vertical mixing of the water column. To investigate the responses of SO phytoplankton to these future conditions, we sampled a natural diatom dominated (63%) community from today's relatively moderately mixed Drake Passage waters with both low availabilities of iron (Fe) and light. The phytoplankton community was then incubated at these ambient open ocean conditions (low Fe and low light, moderate mixing treatment), representing a control treatment. In addition, the phytoplankton was grown under two future mixing scenarios based on current climate model predictions. Mixing was simulated by changes in light and Fe availabilities. The two future scenarios consisted of a low mixing scenario (low Fe and higher light, low mixing treatment) and a strong mixing scenario (high Fe and low light, strong mixing treatment). In addition, communities of each mixing scenario were exposed to ambient and low pH, the latter simulating ocean acidification (OA). The effects of the scenarios on particulate organic carbon (POC) production, trace metal to carbon ratios, photophysiology and the relative numerical contribution of diatoms and nanoflagellates were assessed. During the first growth phase, at ambient pH both future mixing scenarios promoted the numerical abundance of diatoms (~75%) relative to nanoflagellates. This positive effect, however, vanished in response to OA in the communities of both future mixing scenarios (~65%), with different effects for their productivity. At the end of the experiment, diatoms remained numerically the most abundant phytoplankton group across all treatments (~80%). In addition, POC production was increased in the two future mixing scenarios under OA. Overall, this study suggests a continued numerical dominance of diatoms as well as higher carbon fixation in response to both future mixing scenarios under OA, irrespective of different changes in light and Fe availability.
    Keywords: Carbon, organic, particulate, net production; Carbon, organic, particulate, net production, standard deviation; CO2; compiled data; diatoms; DrakePassage; Experiment/study setup; Experimental treatment; Growth phase; iron; Iron/Carbon ratio; Iron/Carbon ratio, standard deviation; Light; mixing; Multiple stressors; Ocean acidification; pH; Photochemical quantum yield; Photochemical quantum yield, standard deviation; Pigments, light harvesting/light protective ratio; Pigments, light harvesting/light protective ratio, standard deviation; Scenario; Southern Ocean
    Type: Dataset
    Format: text/tab-separated-values, 168 data points
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  • 3
    Publication Date: 2023-04-05
    Description: Contrasting models predict two different climate change scenarios for the Southern Ocean (SO), forecasting either less or stronger vertical mixing of the water column. To investigate the responses of SO phytoplankton to these future conditions, we sampled a natural diatom dominated (63%) community from today's relatively moderately mixed Drake Passage waters with both low availabilities of iron (Fe) and light. The phytoplankton community was then incubated at these ambient open ocean conditions (low Fe and low light, moderate mixing treatment), representing a control treatment. In addition, the phytoplankton was grown under two future mixing scenarios based on current climate model predictions. Mixing was simulated by changes in light and Fe availabilities. The two future scenarios consisted of a low mixing scenario (low Fe and higher light, low mixing treatment) and a strong mixing scenario (high Fe and low light, strong mixing treatment). In addition, communities of each mixing scenario were exposed to ambient and low pH, the latter simulating ocean acidification (OA). The effects of the scenarios on particulate organic carbon (POC) production, trace metal to carbon ratios, photophysiology and the relative numerical contribution of diatoms and nanoflagellates were assessed. During the first growth phase, at ambient pH both future mixing scenarios promoted the numerical abundance of diatoms (~75%) relative to nanoflagellates. This positive effect, however, vanished in response to OA in the communities of both future mixing scenarios (~65%), with different effects for their productivity. At the end of the experiment, diatoms remained numerically the most abundant phytoplankton group across all treatments (~80%). In addition, POC production was increased in the two future mixing scenarios under OA. Overall, this study suggests a continued numerical dominance of diatoms as well as higher carbon fixation in response to both future mixing scenarios under OA, irrespective of different changes in light and Fe availability.
    Keywords: CO2; compiled data; diatoms; DrakePassage; Experimental treatment; Incubation duration; iron; Light; mixing; Multiple stressors; Nitrate; Nitrate, standard deviation; Ocean acidification; pH; Silicate; Silicate, standard deviation; Southern Ocean
    Type: Dataset
    Format: text/tab-separated-values, 343 data points
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  • 4
    Publication Date: 2023-01-30
    Description: Polar Regions are facing rapid temperature increase. Combined with other factors temperature increase might have a strong impact on foundation species in Arctic shallow-water coastal ecosystems, such as the abundant kelp Saccharina latissima. We ran two short-term 2-factor experiments with field samples from Kongsfjorden (Svalbard) to reveal the impact of temperature increase in summer combined with hyposalinity (temperature × salinity) or nutrient enrichment (temperature × nutrients) and analyzed different biochemical and physiological parameters. The experiments were conducted with field samples at AWIPEV Station in Ny-Ålesund, Svalbard (Spitsbergen) in June/July 2019. As physiological parameter, size and the maximum photosynthetic quantum yield of photosystem II (Fv/Fm; Imaging-PAM, Walz GmbH Mess- und Regeltechnik, Effeltrich, Germany) were monitored every second day. For growth, the size of the algal discs was analyzed with ImageJ (Version 1.52a). For better comparison of the physiological parameters, Fv/Fm and growth the initial size of the different treatments was adjusted to 100% and size of each sample as % of initial was calculated. The C:N ratio, total nitrogen and total carbon content were analyzed with an elemental analyzer. Mannitol, as well as absolute pigment concentrations were analyzed using a HPLC. The de-expoxidation state of the xanthophyll cycle (DPS) and chlorophyll a : accessory pigment ratio calculated afterwards. Phlorotannins were analyzed using the photometric Folin-Ciocalteu method.
    Keywords: C:N; interactive effects; kelp; Mannitol; nutrients; pigments; Salinity; Temperature
    Type: Dataset
    Format: application/zip, 12 datasets
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  • 5
    Publication Date: 2023-11-10
    Description: Kelps act as ecosystem engineers and foundation species on many polar rocky shore coastlines. The main driver for their vertical and latitudinal distribution is the underwater light climate and temperature. Both are changing drastically in the Arctic in the course of global climate change. It was the aim of this study to analyse the effects of rising temperature and deteriorating underwater light climate on the potential habitat of kelps in the Arctic. The analyses of the underwater light climate in Arctic Kongsfjorden, Svalbard in July 2021. We divided Kongsfjorden in three areas, which are influenced by the run-off of sea-terminating glaciers (station A–J), the run-off of a land-terminating glacier (station K–O) and mostly clear water (control, station P–Q). In each area, we measured the spectrally resolved underwater light climate in the UV-B radiation (280-320 nm), UV-A radiation (320-400 nm) and photosynthetically active radiation (PAR, 400-700 nm) with a RAMSES-ACC-UV/VIS radiometer (TriOS Optical Sensor, Oldenburg, Germany) from 0–12.5 m. UV-B, UV-A and PAR were calculated by integrating the irradiance over the respective wavelengths.
    Keywords: Arctic Amplification; Arctic Biodiversity & Livelihoods; biogeography; Biomass; Climate change; Compensation irradiance; DATE/TIME; DEPTH, water; Event label; FACE-IT; glacier; Kongsfjorden_ULC_A; Kongsfjorden_ULC_B; Kongsfjorden_ULC_C; Kongsfjorden_ULC_D; Kongsfjorden_ULC_E; Kongsfjorden_ULC_F; Kongsfjorden_ULC_G; Kongsfjorden_ULC_H; Kongsfjorden_ULC_I; Kongsfjorden_ULC_J; Kongsfjorden_ULC_K; Kongsfjorden_ULC_L; Kongsfjorden_ULC_M; Kongsfjorden_ULC_N; Kongsfjorden_ULC_O; Kongsfjorden_ULC_P; Kongsfjorden_ULC_Q; Kongsfjorden, Svalbard; Latitude of event; LiCor Li-1400 Data Logger, Nebraska, USA; Light; log-radiation, photosynthetically active; Longitude of event; Macroalgae; Photosynthesis; pigments; Radiation, photosynthetically active; RAMSES ACC-2-VIS, TriOS GmbH; RAMSES-ACC hyperspectral radiometer, TriOS; Refractometer; Respiration; Salinity; Station A; Station B; Station C; Station D; Station E; Station F; Station G; Station H; Station I; Station J; Station K; Station L; Station M; Station N; Station O; Station P; Station Q; Surface irradiance; Ultraviolet-a radiation; Ultraviolet-b radiation
    Type: Dataset
    Format: text/tab-separated-values, 1039 data points
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  • 6
    Publication Date: 2023-11-02
    Description: The Arctic is one area that has been affected by rising temperatures, leading to an increase in meltwater in the water column. During the months of June/July 2019, fronds of the red seaweed Palmaria palmata in Kongsfjorden, Svalbard (78°55'56.0N 11°55'59.6E) were colected in the intertidal zone. For 21 days at 0ºC, P. palmata was subjected to variations of irradiance cycles and three different salinities SA 34 (control), 28 and 18 in laboratory conditions. Subsequently, measurements in triplicate (n=3) were made of photosynthetic parameters such as maximal quantum yield of PSII (Fv/Fm), non-photochemical quenching (NPQ), biochemical parameters such as quantification of pigments chlorophyll a (Chl a), lutein (Lut), zeaxanthin (Zeax), β-carotene (β-Car), and antioxidant activity 2,2-diphenyl-1-picrylhydrazyl (DPPH).
    Keywords: Antioxidant activity 2,2-diphenyl-1-picrylhydrazyl; Arctic; Arctic Biodiversity & Livelihoods; beta-Carotene; Biological sample; BIOS; Chlorophyll a; Climate change; Duration, number of days; FACE-IT; Family; Kongsfjorden; Kongsfjorden, Spitsbergen, Arctic; Lutein; Non photochemical quenching, light curve 0; Non photochemical quenching, light curve 100; Non photochemical quenching, light curve 200; Non photochemical quenching, light curve 300; Non photochemical quenching, light curve 400; Non photochemical quenching, light curve 500; Non photochemical quenching, light curve 600; Ny-Ålesund; Palmaria palmata; Photochemical quantum yield; Photosynthetic parameters; pigments; Pulse amplitude modulation (PAM) fluorometry; Replication; Salinity; seaweed; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Treatment: light intensity; Treatment: salinity; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 1476 data points
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  • 7
    Publication Date: 2023-11-22
    Description: Broadly distributed seaweeds, such as the boreal-temperate kelp species Saccharina latissima, contain a multitude of metabolites supporting acclimation to environmental changes, such as temperature and salinity. In Europe, S. latissima occurs along the coasts from Spitsbergen to Portugal, including the Baltic Sea, exhibiting great morphological plasticity. We investigated the morphological and biochemical traits of field-collected sporophytes from 16 different locations across the species entire European distributional range in relation to local abiotic conditions (sea surface temperature, sea surface salinity, sampling depth). By statistically linking morphological (frond length:width), biochemical (mannitol, phlorotannins, C:N), and genetic data of the mitochondrial cytochrome-c-oxidase I gene (COI-5P) to the geographic abiotic information, we aimed to obtain first insights into the site-specific adaptive features of this species. Mannitol concentrations were analyzed using a HPLC. The molar C:N ratio was analyzed with an elemental analyzer. Phlorotannins were analyzed using the photometric Folin-Ciocalteu method.
    Keywords: abiotic factors; Amorosa_MULT; Ansnas_MULT; Bergen_MULT; Bodo_MULT; DATE/TIME; DEPTH, water; diversity; Egersund_MULT; Elemental analyzer; Event label; Family; France; Germany, Baltic Sea; haplotype network; Helgoland_MULT; Helgoland, North Sea; High Performance Liquid Chromatography (HPLC); Index; Kiel_MULT; Latitude of event; Location; Locmariaquer_MULT; Longitude of event; Mannitol; MULT; Multiple investigations; Muros_MULT; Norway; Ny-Alesund_MULT; PCA; PCA discrimination; phenotype; Phlorotannins; Photometric (Folin-Ciocalteu); Portugal; Ruegen_MULT; Runde_R_MULT; Runde_S_MULT; Saccharina latissima; Saccharina latissima, carbon/nitrogen ratio; Saccharina latissima, length; Saccharina latissima, width; Saccharina latissima length/width ratio; Salinity; Salto_MULT; Sample ID; Smogen_MULT; Spain; speciation; Species; Spitsbergen; Sweden; Temperature; Temperature, water; Tromso_MULT; variability
    Type: Dataset
    Format: text/tab-separated-values, 1008 data points
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  • 8
    Publication Date: 2024-02-26
    Description: Kelps act as ecosystem engineers and foundation species on many polar rocky shore coastlines. The main driver for their vertical and latitudinal distribution is the underwater light climate and temperature. Both are changing drastically in the Arctic in the course of global climate change. It was the aim of this study to analyse the effects of rising temperature and deteriorating underwater light climate on the potential habitat of kelps in the Arctic. A laboratory experiment, in which we determined temperature-related changes in the light-use characteristics of two temperate kelp species (Alaria esculenta, Saccharina latissima) at 3, 7, and 11 °C. Therefore, grown sporophytes were sampled in the field from a sampling depth of 6–9 m. Meristematic discs (Ø 2 cm) were cut and distributed between temperature treatments and replicates. The experiment ran for seven days, during which the treatment temperature was increased every two days by 4 °C until treatment temperature was reached, allowing for successive acclimation. The photosynthesis vs. irradiance curves were measured with a 4-channel optode set-up (FireStingO2 Fibre-Optic Oxygen Meter FSO2-01, PyroScience Sensor technology, Aachen, Germany) by analysing the oxygen evolution in response to different light intensities within a 25 mL Schott bottle, each containing three meristematic discs. Maximum photosynthetic quantum yield was measured using a pulse amplitude modulated fluorometer (Portable Chlorophyll Fluorometer PAM-2100, Heinz Walz GmbH, Effeltrich, Germany). Pigment analysis was analysed with a High-Performance Liquid Chromatograph (HPLC, LaChromElite® system, L-2200 autosampler (chilled), DA-detetctor L-2450; VWR-Hitachi International GmbH, Darmstadt, Germany).
    Keywords: Arctic Amplification; Arctic Biodiversity & Livelihoods; Area; biogeography; Biomass; Carbon; Carbon/Nitrogen ratio; Cauloid length; Chlorophyll a; Climate change; Compensation irradiance; Compensation point; Day of experiment; Deposit feeder, biomass; Dry mass; Elemental analyzer, EuroVector, EuroEA 3000; FACE-IT; Family; Genus, unique identification; Genus, unique identification (Semantic URI); Genus, unique identification (URI); glacier; High performance liquid chromatography (HPLC), LaChromElite (L-2200) autosampler (chilled), DA-detector L-2450; Light; log-compensation point; Macroalgae; Maximum photochemical quantum yield of photosystem II; Nitrogen; Optical Oxygen Meter (FireSting, PyroScience GmbH, Germany); Oxygen concentration at 0 µmol photons; Oxygen concentration at 0 µmol photons per time and area; Oxygen concentration at 24 µmol photons; Oxygen concentration at 24 µmol photons per time and area; Photosynthesis; Phylloid length; Phylloid width; pigments; Pigments; Pigments/chlorophyll a ratio; Portable Chlorophyll Flourometer, Heinz Walz GmbH, Effeltrich, Germany, PAM-2100; RAMSES-ACC hyperspectral radiometer, TriOS; Respiration; Species; Treatment: temperature; Type of study; Wet mass
    Type: Dataset
    Format: text/tab-separated-values, 3355 data points
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  • 9
    Publication Date: 2024-01-26
    Keywords: AWIPEV; AWIPEV_based; C:N; Carbon, total, per unit sediment mass; Carbon/Nitrogen ratio; Comment; Elemental analyzer; Family; interactive effects; kelp; Koldewey; Mannitol; Nitrogen, per unit sediment mass; nutrients; pigments; Replicates; Research station; RS; Salinity; Species; Spitsbergen, Svalbard; Temperature; Treatment: nutrients; Treatment: temperature
    Type: Dataset
    Format: text/tab-separated-values, 283 data points
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  • 10
    Publication Date: 2024-01-26
    Keywords: AWIPEV; AWIPEV_based; C:N; Family; ImageJ (Version 1.52a); interactive effects; kelp; Koldewey; Mannitol; nutrients; pigments; Replicates; Research station; RS; Salinity; Size, algal disc; Species; Spitsbergen, Svalbard; Temperature; Treatment: nutrients; Treatment: temperature
    Type: Dataset
    Format: text/tab-separated-values, 2823 data points
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