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59 results for “Regime shifts”
From soil to sediment: Bedform migration shapes microbial communities from eroding bank soil during terrestrial-aquatic regime shift [dataset]
<p>This dataset contains raw data of metabolism measurements, microbial abundance, and nutrients that were assessed for the research paper entitled "From soil to sediment: Bedform migration shapes microbial communities from eroding bank soil during terrestrial-aquatic regime shift," which has been submitted to the Journal of Geophysics: Biogeosciences on October 19, 2024. Please note that raw sequencing data were already submitted to the NCBI library and are accessible via https://www.ncbi.nlm.nih.gov./sra/PRJNA1154565.</p> <p>The excel sheet (.xlsx) contains all relevant parameters that were used to detect the influence of environmental parameters on the microbial community structure, e.g. bacterial, fungal and algal abundance, nutrient concentrations, and final NCP and CR rates. The .zip archive contains all raw metabolism measurements during our experimental duration.</p>
Data from: From success to persistence: Identifying an evolutionary regime shift in the diverse Paleozoic aquatic arthropod group Eurypterida, driven by the Devonian biotic crisis
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Data from: Sudden collapse of a mesopredator reveals its complementary role in mediating rocky reef regime shifts
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Long-term empirical evidence, early warning signals, and multiple drivers of regime shifts in a lake ecosystem
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Data from: Regime shifts shorten food chains for mesopredators with potential sublethal effects
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Data from: The legacy of large regime shifts in shallow lakes
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Data from: Regime shifts in marine communities: a complex systems perspective on food web dynamics
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Data from: Regime shifts in an Early Triassic subtropical ecosystem
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Data from: A regime shift from erosion to carbon accumulation in a temperate northern peatland
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Regime shifts in a shallow lake: Consequences for taxonomic and functional diversity, and ecosystem multifunctionality
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Data-driven identification of reliable sensor species to predict regime shifts in ecological networks
<p>Signals of critical slowing down are useful for predicting impending transitions in ecosystems. However, in a system with complex interacting components not all components provide the same quality of information to detect system-wide transitions. Identifying the best indicator species in complex ecosystems is a challenging task when a model of the system is not available. In this paper, we propose a data-driven approach to rank the elements of a spatially-distributed ecosystem based on their reliability in providing early-warning signals of critical transitions. The proposed method is rooted in experimental modal analysis techniques traditionally used to identify structural dynamical systems. We show that one could use natural system fluctuations and the system responses to small perturbations to reveal the slowest direction of the system dynamics and identify indicator regions that are best suited for detecting abrupt transitions in a network of interacting components. The approach is applied to several ecosystems to demonstrate how it successfully ranks regions based on their reliability to provide early-warning signals of regime shifts. The significance of identifying the indicator species and the challenges associated with ranking nodes in networks of interacting components are also discussed.</p>
Data from: Marine regime shifts impact synchrony of deep‐sea fish growth in the Northeast Atlantic
<p>The complexity and spatio–temporal scale of populations' dynamics influence how populations respond to large-scale ecological pressures. Detecting and attributing synchrony (i.e. temporally coincident fluctuations in populations' parameters) is key as synchronous populations can become more vulnerable to stochastic events that can affect the viability of harvest and have profound consequences to community structure. Here, we aimed to estimate the level of synchrony in fish growth within and among species across 1 million km<sup>2</sup> and identify the environmental drivers contributing to synchronous population fluctuations. We developed otolith increment-based growth chronologies for two deep-sea scorpaenid fishes (<em>Helicolenus dactylopterus</em> and <em>Pontinus kuhlii</em>) from geographically and bathymetrically disjunct populations in the northeast Atlantic (one species in three locations; two species with different depth preferences). We used hierarchical models to partition variation in growth within and between populations attributing it to intrinsic (age, species, population) and extrinsic (environmental variables) drivers. We assessed synchrony in growth variation within and among species and identified common change points in population specific growth patterns. We documented time-variant synchrony in growth variation of geographically and bathymetrically segregated deep-sea fish populations, lasting 25 and 18 years, respectively. The observed synchrony was likely driven by shared environmental forcing (Moran effect) as large-scale climate indices (East Atlantic pattern and North Atlantic Oscillation) were important environmental drivers of overall growth variation while the onset of synchrony in growth variation was likely related to marine regime shifts occurring in a wide area of the northeast Atlantic that affected the entire ecosystem. However, our capacity to extrapolate growth information across species and locations was dependent on the timing and magnitude of environmental change. Developing a better understanding of the mechanisms driving growth synchrony is key to ensure sustainable management of populations in habitats that are fragile and highly sensible to environmental change, such as the deep-sea.</p>
Data from: Dietary habits of polar bears in Foxe Basin, Canada: possible evidence of a trophic regime shift mediated by a new top predator
Polar bear (Ursus maritimus) subpopulations in several areas with seasonal sea ice regimes have shown declines in body condition, reproductive rates, or abundance as a result of declining sea ice habitat. In the Foxe Basin region of Nunavut, Canada, the size of the polar bear subpopulation has remained largely stable over the past 20 years, despite concurrent declines in sea ice habitat. We used fatty acid analysis to examine polar bear feeding habits in Foxe Basin and thus potentially identify ecological factors contributing to population stability. Adipose tissue samples were collected from 103 polar bears harvested during 2010–2012. Polar bear diet composition varied spatially within the region with ringed seal (Pusa hispida) comprising the primary prey in northern and southern Foxe Basin, whereas polar bears in Hudson Strait consumed equal proportions of ringed seal and harp seal (Pagophilus groenlandicus). Walrus (Odobenus rosmarus) consumption was highest in northern Foxe Basin, a trend driven by the ability of adult male bears to capture large-bodied prey. Importantly, bowhead whale (Balaena mysticetus) contributed to polar bear diets in all areas and all age and sex classes. Bowhead carcasses resulting from killer whale (Orcinus orca) predation and subsistence harvest potentially provide an important supplementary food source for polar bears during the ice-free period. Our results suggest that the increasing abundance of killer whales and bowhead whales in the region could be indirectly contributing to improved polar bear foraging success despite declining sea ice habitat. However, this indirect interaction between top predators may be temporary if continued sea ice declines eventually severely limit on-ice feeding opportunities for polar bears.
Data for Haid et al.: On the drivers of regime shifts in Antarctic marginal seas... Part II
<p>4D potential temperature and salinity in Weddell region for perturbation experiments SA_G, SA_S, SA_W, SUMMER_S and SUMMER_S+SAw_W</p>
Data from: Conditional heteroskedasticity as a leading indicator of ecological regime shifts
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Data from: Marine regime shifts impact synchrony of deep‐sea fish growth in the Northeast Atlantic
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Data from: Dietary habits of polar bears in Foxe Basin, Canada: possible evidence of a trophic regime shift mediated by a new top predator
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Data from: Making pore choices: repeated regime shifts in stomatal ratio
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Data-driven identification of reliable sensor species to predict regime shifts in ecological networks
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.