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108 results for “trophic effects”
Perry et al. (2025) Data Package: Effects of diluted bitumen and remediation methods on lower trophic levels within boreal lake enclosures. Data were collected during 2019 at the IISD Experimental Lakes Area in Northwestern Ontario.
This data package corresponds to a research study by Perry et al. (2025) titled "The effects of diluted bitumen, the shoreline cleaner Corexit EC9580A, and bio-stimulation on the lower food web of a boreal lake, with a focus on natural phytoplankton communities." The study examines the effect of controlled spills of diluted bitumen and two remediation methods on lower trophic levels (phytoplankton, periphyton, zooplankton). The study was undertaken within shoreline enclosures within Lake 260 at the IISD Experimental Lakes Area during 2019. In addition to primary oil recovery using sorbent pads, the two secondary remediation methods: 1) enhanced monitoring natural recovery (eMNR) that included the biostimulation of microbial communities via a slow release nutrient fertilizer, and 2) a shoreline washing agent (SWA or SCA; Corexit 9580) used to increase oil removal from affected shorelines. This data package includes the response of perphyton and zooplankton.
GFE01 Ghost Fire: an experimental manipulation of fire effects on multi-trophic community dynamics in the ungrazed uplands of unburned and annually burned watersheds of Konza Prairie
Frequent burning is a common land practice in many grasslands worldwide, and this land use strategy has large impacts on a wide variety of ecosystem functions and services. Fire in tallgrass prairie, in the absence of grazing, alters plant community composition, decreases richness, and increases plant production. Proposed mechanisms for the changes in community composition and function are that fire decreases N availability (through volatilization) and removes litter (thereby increasing light availability and decreasing soil moisture). However, few experiments explicitly test these mechanisms, and those that do monitor short-term effects.Yet, the strength of these mechanisms likely differ over longer time scales, as other ecosystem attributes (e.g., plant community composition) change through time. Ghost Fire aims to determine the mechanisms behind community and ecosystem differences between annually burned grassland and 20-year burned grassland (hereafter called unburned) by experimentally manipulating N availability and litter. We impose litter and N conditions found in unburned grassland onto annually burned grassland, and litter and N conditions typically found in annually burned grassland onto unburned grassland. Importantly, Ghost Fire monitors both below-and above-ground plant community and ecosystem dynamics as well other dimensions of the ecosystem including microbial and mycorrhizal communities and insect community composition and biomass.
Fig. 3 in Diet and trophic structure of the fish fauna in a subtropical ecosystem: impoundment effects
Fig. 3. Proportion in number and biomass (CPUE) of the trophic guilds along the longitudinal gradient of the Salto Caxias Reservoir, Iguaçu River, before and after the impoundment. (1 = upstream; 2 = middle region; 3 = dam; 4 = downstream) (Alg = algivores; Det = detritivores; Her = herbivores; Ain = aquatic insectivores; Tin = terrestrial insectivores; Inv = invertivores; Omn = omnivores; Pis = piscivores; Pla = planktivores; Car = carcinophages).
Fig. 1 in Diet and trophic structure of the fish fauna in a subtropical ecosystem: impoundment effects
Fig. 1. Location of sampling sites along the longitudinal gradient of the Iguaçu River, in the area influenced by the Salto Caxias Reservoir, Paraná State. a) before the impoundment; b) after the impoundment. (site 1 = upstream; site 2 = middle region; site 3 = dam; site 4 = downstream).
Fig. 2 in Diet and trophic structure of the fish fauna in a subtropical ecosystem: impoundment effects
Fig. 2. Graphical representation of the first two axes of the Nonmetric multidimensional scaling (nNMDS), demonstrating the food resources used by the fish fauna in the different sites and phases, in the area influenced by the Salto Caxias Reservoir, Iguaçu River. FR = Food resources (AI = aquatic insects; TI = terrestrial insects; DE = decapods; MC = microcrustaceans; MA = macroinvertebrates; MI = microinvertebrates; FI = fish; FS = fish scales; AP = aquatic plants; TP = terrestrial plants; AL = algae; DS = detrit/sediment); B = before impoundment, A = after impoundment; 1 to 4 = sampling sites.
Fig. 3 in Effects of latitude, host body size, and host trophic guild on patterns of diversity of helminths associated with humans, wild and domestic mammals of Mexico
Fig. 3. Phylogenetic generalized least squares (PGLS) regression of host body mass (values were log-transformed) with richness of helminths associated to wildlife hosts (values were corrected for sampling effort).
Fig. 2 in Effects of latitude, host body size, and host trophic guild on patterns of diversity of helminths associated with humans, wild and domestic mammals of Mexico
Fig. 2. Relationships between latitude and the average taxonomic distinctness of overall helminths (A) and nematodes (B).
Fig. 4 in Effects of latitude, host body size, and host trophic guild on patterns of diversity of helminths associated with humans, wild and domestic mammals of Mexico
Fig. 4. Parasite richness and average taxonomic distinctness by host trophic guild (the size of circle represents the number of hosts belonging to each trophic guild).
Fig. 1 in Effects of latitude, host body size, and host trophic guild on patterns of diversity of helminths associated with humans, wild and domestic mammals of Mexico
Fig. 1. Maps showing the geographic locations of the records, classified by phylum of the subsetted database.
Fig. 2 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 2. Detrended Correspondence Analysis (DCA) (biplot) considering the fish species of each stretch and the different trophic categories in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil. Acronym of the species in the Table III.
Fig. 3 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 3. Importance of trophic guilds (in numeric abundance and biomass) by stretch (lotic, transition, and lentic) of Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil.
Fig. 4 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 4. Proportion of the resources used by the species in the three studied zones in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil: 1, Lotic; 2, Transition; 3, Lentic.
Figs 5-7 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Figs 5-7. Trophic interactions networks built with fish species (black) and resources consumed (gray): Fig. 5, Stretch 1 (lotic); Fig. 6, Stretch 2 (transition) and Fig. 7, Stretch 3 (lentic) in Jurumirim Reservoir, Upper Paranapanema River, state of São Paulo, Brazil.
Fig. 1 in Can dams affect the trophic structure of ichthyofauna? A long-term effects in the Neotropical region
Fig. 1. Map of Jurumirim Reservoir (Upper Paranapanema River, state of São Paulo, Brazil) indicating the three samplings zones.
Fig. 7. a in Ecomorphological patterns of the fish assemblage in a tropical floodplain: effects of trophic, spatial and phylogenetic structures
Fig. 7. a) Diagram of Canonical Discriminant Analysis for the ecomorphological indices of the fish assemblage grouping in habitat types in the upper Paraná River floodplain (rivers, channels, connected and disconnected lagoons). b) Histograms with the scores of the habitat types for Canonical axis 1.
Fig. 6 in Ecomorphological patterns of the fish assemblage in a tropical floodplain: effects of trophic, spatial and phylogenetic structures
Fig. 6. Diagram of Canonical Discriminant Analysis for the ecomorphological indices of the fish assemblage grouping in trophic guilds in the upper Paraná River floodplain (detritivores, insectivores, piscivores, invertivores, omnivores and herbivores).
Fig. 4 in Ecomorphological patterns of the fish assemblage in a tropical floodplain: effects of trophic, spatial and phylogenetic structures
Fig. 4. Distribution of scores centroids of the 35 species on the first two axes of the Principal Components Analysis (PC 1 and PC 2), applied to the correlation matrix (Pearson) formed by 22 ecomorphological indices. Each polygon defines the morphological space occupied by the species that compose the corresponding trophic guild.
Fig. 5 in Ecomorphological patterns of the fish assemblage in a tropical floodplain: effects of trophic, spatial and phylogenetic structures
Fig. 5. Distribution of scores centroids of the 35 species grouped by habitat type on the first two axes of the Principal Components Analysis (PC 1 and PC 2), applied to the correlation matrix (Pearson) formed by 22 ecomorphological indices. Each polygon defines the morphological space occupied by the species that exploit the corresponding habitat type.
Fig. 3 in Ecomorphological patterns of the fish assemblage in a tropical floodplain: effects of trophic, spatial and phylogenetic structures
Fig. 3. Distribution of scores centroids of the 35 species on the first two axes of the Principal Components Analysis (PC 1 and PC 2), applied to the correlation matrix (Pearson) formed by 22 ecomorphological indices.
Fig. 2 in Ecomorphological patterns of the fish assemblage in a tropical floodplain: effects of trophic, spatial and phylogenetic structures
Fig. 2. Schematic representation of the linear morphometric measurements and the calculated areas: standard length (SL), maximum body height (MBH), body midline height (BMH), maximum body width (MBW), caudal peduncle length (CPdL), caudal peduncle height (CPdH), caudal peduncle width (CPdW), head length (HdL), head height (HdH), head width (HdW), length of snout with the mouth closed (LSC), length of snout with the mouth open (LSO), eye height (EH), mouth height (MH), mouth width (MW), dorsal fin length (DL), dorsal fin height (DH), caudal fin length (CL), caudal fin height (CH), anal fin length (AL), anal fin height (AH), pectoral fin length (PtL), pectoral fin height (PtH), pelvic fin length (PvL), pelvic fin height (PvH), eye area (EA), dorsal fin area (DA), caudal fin area (CA), anal fin area (AA), pectoral fin area (PtA), and pelvic fin area (PvA).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.