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268 results for “michigan”
Permanent plot data for old-growth white pine - hemlock - hardwood forests in the Huron Mountains, Marquette County, Michigan: 2006-2022
This study was initiated by Dr. Dennis A. Riege with a focus on the role of white pine (Pinus strobus) in old-growth mixed white pine-hemlock-northern hardwood forests. Study areas within the lands of the Huron Mt. Club were selected for prominent presence of canopy white pine. Several permanent study plots, totaling about 3.3 ha, were established, with all trees >5 cm diameter at breast height (dbh) identified, mapped and measured. Initiatl establishment was from 2006-2008. All plots were remeasured in 2011, 2016 and 2021-22. Mortality and new recruits were documented in remeasurements. Reference coordinates for each plot are included in 'Methods'. Data tables in this package include all of these measurements. Additional information, including maps of downed logs, is included in material included under 'other entities'.
Douglas Lake Ice Cover at the University of Michigan Biological Station, Pellston, MI 1931 to 2025
This dataset represent the ice on and ice off dates for Douglas Lake in Pellston, Michigan. The first observations are from the 1930 and were intermittently documented until the mid 1970s. The observations are complete since then to current.
Snail Shell Strength and Total Crush Force of a Northern Michigan Snail as a Function of Predation Risk at the University of Michigan Biological Station Stream Research Facility (5/31/23-8/1/23)
Many prey organisms respond to the non-consumptive effects of predators by altering their physiology, morphology, and behavior. These inducible defenses can create refuges for prey by decreasing the likelihood of consumption by predators. Some prey, as in marine mollusks, have been shown to alter their morphology in response to the presence of size-limited predation. To extend this work into the freshwater realm, we presented pointed campeloma snails (Campeloma decisum) to chemical cues from a natural predator, the rusty crayfish (Faxonius rusticus), to better understand how snail morphology changes under the threat of predation. The total force needed to crush shells, total shell length, aperture width, and total weight, along with changes to these three body measurements were recorded for each individual and used to quantify morphological changes as a function of risk. Snails exposed to crayfish chemical cues needed significantly more force to crush their shells than controls (p = 0.002). Total shell length was greater in crayfish exposed snails than control snails (p = 0.002), and snails in the crayfish treatment also showed significantly more change in shell length than control snails (p = 0.003). Similarly, aperture width was significantly greater in exposed snails (p = 0.002). However, exposed snails exhibited significantly less change in aperture width than controls (p = 0.017). Finally, we found that snails exposed to crayfish weighed significantly more than snails in the control (p = 0.0009). Thus, the results of this study show that morphology of gastropods is altered in the presence of predators, and this may be an antipredator tactic directly related to risk.
Tree cores from three species along a natural nitrogen mineralization gradients in Michigan Lower Peninsula
Mycorrhizal fungi are understood to exhibit mutualistic relationships with trees. This study assessed this relationship via the growth of individual trees associated with different mycorrhizal communities along a gradient of N availability.
Protist Dispersal Detection: University of Michigan Biological Station, July 2024
This dataset contains the results of a field dispersal array assembled in Gates Bog, Pellston, Michigan. The data were collected by a graduate student, and consist of measurements of protist presence or absence in 1mL fluid samples taken from pitcher plants and centrifuge tubes in the array. The dataset contains both initial protist detection from the fluid samples, as well as detection after a 24 hour incubation period. The dataset also contains the positions of each plant and tube used for sample collection and their distances from the established source population at the center of the array. We used the purple pitcher plant, Sarracenia purpurea, as a model system to explore questions of specialist protist dispersal. Newly opened pitchers are sterile, providing virgin habitat open to community assembly of highly specialized protist species (Peterson 2008). The placement of a known community of protists at the center of an uncolonized array of habitat patches allows us to identify both sources and destinations of dispersing microbes in the array. The purpose of this study is to measure dispersal rates for a subset of pitcher plant protist species.
Understory percent cover, plant traits, canopy LAI, PAR, temperature, and soil moisture data at multiple time points for sites in the burn chronosequence and Indian Point forest at the University of Michigan Biological Station, Pellston, MI (2022-2023)
Community ecology has sought to understand the mechanisms by which plant communities are assembled through time and space. One prominent way to address how communities are assembled is by quantifying functional traits. While there is a tremendous body of literature on functional traits, debate persists about how to account for variation in measured traits. For example, intraspecific trait variation (ITV) can be equal to or greater than interspecific trait variation and ITV has also been found to vary greatly across years. Therefore, there is a need to account for variability in functional trait measures among and within species and through time to improve our understanding of community assembly. Chronosequences are a powerful tool to address temporal changes in community dynamics, however, the inclusion of understory plants in forest chronosequence studies is still relatively uncommon. Previous chronosequence studies have been primarily performed in grasslands or in a limited subset of forest types, so further work is needed in understory plant traits across other ecosystems and climates to improve trait-based understanding of understory plant communities through time. Additionally, because plant traits change as ecosystems age, community interactions are likely to change with ecosystem age. Interactions of particular interest are herbivory, arthropod predation, and the influence of plant traits on arthropod diversity.
Pitcher plant herbivory experimental data at the University of Michigan Biological Station, Pellston, MI 2024-2025
Coping with low-nutrient environments has led to the repeated evolution of plant carnivory. Given the repeated evolution of carnivory as well as the facultative nature of this otherwise costly trait, why are carnivorous plants not more speciose in wet, sunny, nutrient-poor sites? Recent evidence suggests herbivores may play an important role in limiting the success of plants with specialized nutrient acquisition strategies (e.g. nitrogen-fixing bacterial associates), as herbivores are drawn to more nutrient-rich plant tissue. To test this hypothesis in carnivorous plants, we conducted a factorial herbivore exclusion and prey addition experiment on Sarracenia purpurea, the purple pitcher plant. Specifically, we examined whether 1) plant growth rate is maximized at intermediate levels of prey intake, and 2) if this pattern is caused by preferential consumption by herbivores of plants with high nutrient intake. To test these hypotheses, we measured plant growth and herbivore damage on 110 pitcher plants (Sarracenia purpurea) growing at Mud Lake Bog near UMBS from June to August 2024. To measure effects of stored nutrients on plant growth and herbivory, we plan to collect 2nd year early season growth data in June of 2025.
The fate of a plant defense mutualism in a warming world at the University of Michigan Biological Station, Pellston, MI (2024-2026)
Mutualisms are vital to plant survival and reproduction, but climate warming has the potential to alter these interactions. One such mutualism involves foliar mites, which provide plants with defense by consuming harmful fungi. In exchange, plants offer protective structures on their leaves called domatia. Both mite and fungal communities are potentially temperature-sensitive, and warming may shift community composition, potentially altering trophic interactions between botch groups. However, the specific changes in mite and fungal community composition and their implications for plant-mite mutualism and plant performance remain unclear. To investigate the responses of both of these communities to warming, and the effects these changes will have on plants, I conducted a nested factorial field experiment with 96 P. serotina seedlings at the University of Michigan Biological Station. Plants were warmed using open top chambers, nested within which were fully factorial manipulations of the mite and fungal communities. Each group was manipulated using either pruning tar to exclude mites or Quilt fungicide to exclude fungi.
Floral Censuses and Surveys of Insect Visitors to Flowers, University of Michigan Biological Station, Summers 1984-1986
I investigated within- and between-year patterns of flowering phenology of plants and the insects that visited them in an isolated old field in northern Michigan, USA. The project goal was to document the dynamics of resource availabilty (each floral species produced nectar and/or pollen) and assess the implications of its temporal variation on the composition of the community of insects that exploited those resources. I censued the number of open flowers for each species in 50 4-m2 quadrats at 3- 5-day intervals from June-September 1984-1986, and in separate but contemporaneous surveys of the same quadrats recorded each insect species observed on any open flower. Census and survey details noted below.
GM Snow Study at the University of Michigan Biological Station, Pellston, MI (1982-1987)
Wet and dry deposition were monitored at the University of Michigan Biological Station, which is located near the northern tip of Michigan's lower peninsula, for three winters. Dry deposition was measured by both conventional bucket method and by measuring increases in concentration in snow samples. Average results of the two methods were in reasonable agreement. The cumulative wet and dry deposition quantities are in good agreement with snowpack accumulations until the first thaw period. Dry deposition to snow accounts for less than 15% of the total H+, SO4-2, NO-3, NH4+, and approximately 25% of the Ca2+, Mg2+, Na+, J+, and Cl-, during an average precipitation year. Snowpack measurements were also made under deciduous and red pine canopies. Decreases in H+ and NO-3 were observed under the red pine canopy. Snowmelt and runoff were studied during the 1986-87, 1983-84, and the 1982-83 winters at the University of Michigan Biological Station. For the 1982-83 and 1983-84 winters the first 50% of snowpack acidity was released in melt and rain water equal to 25% of the original snowpack water content. Interaction between the meltwater and the litter layer produced large changes in the concentrations of most species. Runoff to two streams had high SO4-2 and very low NO-3 concentrations. It is concluded that most of the NO-3 is either biologically utilized or retained in the ecosystem, even during the early snowmelt period at this site.
Aspen Forest Stem Map and Tree Census at the University of Michigan Biological Station, Pellston, MI 1974-2018
In 1974, a one hectare plot was established at the University of Michigan Biological Station to further understand successional trajectories of birch and aspen forests in northern Michigan. Trees with a DBH greater than 5 cm were inventoried and later, the location of the tree within the plot was documented by the UMBS resident biologist. Plots were remeasured 5 additional times by different groups at the station.
Comparing effects of auditory and visual disturbances on smallmouth bass parental care behaviors during the summer of 2025 at Douglas Lake, Michigan, USA
A prevalent source of sensory pollution within aquatic systems is recreational motorboats that can impact aquatic organisms through several exposure mechanisms. Auditory and visual sensory disturbances are particularly important as fish may utilize these cues during critical reproductive behaviors such as parental care. Here, we conducted a field study in Douglas Lake, Michigan, and located wild smallouth bass nests actively guarded by males. We exposed smallmouth bass to two sequential treatments of playback auditory noise and visual disturbances. Using an underwater drone, parental care behaviors of smallmouth bass were monitored before, during, and after both auditory and visual disturbances. The results show that auditory and visual disturbances may alter smallmouth bass parental care behaviors differently.
Analyzing fish leaping and movement potential at a migratory barriers: Michigan 2022-2025
The enclosed Matlab scripts and supporting files are used for fish passage assessments at small migratory barriers with complex geometry. Building upon a 2-D ballistic trajectory mathematical model, the model incorporates field-derived behavioral parameters and simulated flow data to evaluate the likelihood of successful leaping attempts. The model integrates stochastic variation in key fish characteristics—such as body length, launch speed, and leap origin—to simulate a range of realistic leaping scenarios. These are coupled with three-dimensional, CFD-derived inputs for local water velocity and depth, enabling a spatially detailed assessment of hydraulic conditions that are most conducive to successful passage. This integrated approach provides a more comprehensive and biologically informed evaluation of passage potential at migratory barriers. To demonstrate its utility, the model is applied in a case study examining the influence of complex barrier geometry on fish passage outcomes, highlighting its potential to inform engineering design decisions that either facilitate or limit fish movement based on management objectives. The enclosed files are associated with steelhead passage at a arc-labyrinth and low-flow weir at the FishPass project, located on the Boardman/Ottaway River, MI, USA.
University of Michigan Biological Station Weather Observations 1980 to Present
This data set includes daily year-round weather measurements and observations recorded at the University of Michigan Biological Station (UMBS) from 1980-present. Data primarily serves the purpose of benefitting UMBS researchers needing access to weather data as a confounding variable. Parameters include maximum and minimum temperatures, precipitation, snowfall, snowpack, and estimated cloud cover and type recorded daily at approximately 08:00. Maximum and minimum temperatures were measured at the Biological Station campus with National Weather Service liquid-in-glass thermometers housed in a Weather Service (a.k.a., Cotton Region) shelter located on State Road. Precipitation was measured with either a Belfort Rainfall Transmitter 5915 or an ETI NOAH IV Total Precipitation Gauge in the “UV Field” located immediately northwest of the Biological Station campus. Snowfall and snowpack were also measured in the UV Field on snowboards using National Weather Service according to National Weather Service snow measurement guidelines. Cloud cover was estimated in oktas and classified into one of the ten basic cloud types.
Stem maps of eight 1 ha forest plots distributed around Ann Arbor, MI and around the University of Michigan Biological Station (UMBS)
In this project we established a network of forest inventory plots to gather the data needed to forecast future forest performance under global change. Data collected from forest inventory plots, i.e., size and location of individual trees from all ages and species, have been shown to be particularly useful to link tree species demographic rates (survival, growth, age at maturity, fecundity) with community characteristics (assemblages and species turnovers), and are also widely used to estimate biomass removal (logging) and biomass production (carbon sequestration).
Marquette, Michigan Ground Observations and Atmospheric River Dataset
<p>This dataset contains ground-based meteorological observations and accompanying atmospheric river data used in "The influence of atmospheric rivers on cold-season precipitation in the Upper Great Lakes region", Mateling, Pettersen, Kulie, Mattingly, Henderson, and L'Ecuyer, submitted to GRL, in review.</p> <p>The ground-based data contains meteorological data including temperature, wind speed and direction, radar reflectivity and Doppler velocity from a Micro-Rain Radar2 (MRR) and precipitation data from a Precipitation Imaging Package (PIP) hosted at the National Weather Service in Marquette, Michigan (Pettersen, Kulie, et al., 2020; Pettersen, Bliven, et al., 2020; Kulie et al., 2021).</p> <p>The atmospheric river (AR) data contains a flag to identify when an AR is within 100 km of Marquette during a deep cold-season precipitation event. Additionally, the associated integrated water vapor transport (IVT) and motion vectors are within this file. The AR database was created and analyzed in Mattingly et al. (2018). </p>
Patch-level rates of nitrogen fixation and denitrification and environmental covariates from seven streams in Idaho and Michigan
We hypothesized that environmental variation at the patch scale (1 - 10’s m) would facilitate the co-occurrence of N2 fixation and denitrification through the formation of hot spots in streams. We measured rates of N2 fixation and denitrification and relative abundances of the genes nifH and nirS in patches determined by channel geomorphic units and substrate type in 4 Idaho and 3 Michigan streams encompassing a gradient of N and P concentrations. This data package includes patch-level measurements of N2 fixation and denitrification rates, relative gene abundances of nifH and nirS, and environmental covariates (nutrient concentrations, water temperature, surface and subsurface dissolved oxygen concentrations, organic matter content) that were used to explore the factors that could predict process rates and relative gene abundances across patches and streams.
University of Michigan Biological Station cumulative food web data for terrestrial habitats, 1909-2023.
Here, we present species and interaction lists for a food web of the aboveground terrestrial habitats at the University of Michigan Biological Station (UMBS). The site is composed predominantly of dry-mesic, northern hardwood forests with patches of wooded wetlands (hardwood conifer swamp). Taxa were sourced from lists provided by UMBS, from resident biologists’ personal observations, museum specimens, online databases, historical censuses, and BioBlitz events. Only those that could be resolved to species-level or were genera with < 20 species in the Nearctic were included. We also excluded species that do not have a significant lifestage or feeding behavior in aboveground terrestrial habitats. Our focal taxonomic groups include vascular plants, arthropods, birds, mammals, reptiles, amphibians. The majority of arthropods are insects; non-insect arthropods were highly underrepresented in our lists. Interactions were sourced from online databases, naturalist observations, and field guides and accumulated into a “metaweb” of all potential interactions between local species. Interactions were checked by experts to plausibly occur in the aboveground terrestrial environments at UMBS, given species’ phenology, traits, and habitat usage. Interactions at any taxonomic level were included, so long as they were approved to potentially occur between all species by our experts. To study the effect of taxonomic resolution on food web structure, in this dataset, we retained records at coarser taxonomic groupings even if more highly resolved records were also approved. We included all direct interactions among species in our system with a bioenergetic flow (i.e., one species consuming another), differentiated by their focal resource. We broadly categorized the resources as animal tissues, either (1) live tissues and as prey, or (2) scavenged as carrion, carcasses, or other decaying animal remains, or as plant tissues, grouped as (3) leaves and stems, including grasses, exudates, et
Breeding Bird Community Surveys in the Huron Mountains, Marquette Co., Michigan (1997-1999).
Dr. Michael Kielb and collaborators conducted repeated surveys in June and July of 1997, 1998, and 1999, of breeding-bird communities along seven permanent transects in diverse habitats (old-growth forests, secondary forests, wetlands, riverine systems, etc.) within the boundaries of the Huron Mt. Club. Permanent 'listening-points' were established along each transect at intervals of ca. 200 m (7-20 points per transect), and numbers of singing birds tallied at each point. Data reported here are totals, by species, per transect. Detailed information on transect and point locations may be found in attached documents (reports to the Huron Mountain Wildlife Foundation) in .pdf format. Documents also include additional ad hoc observations. This study was repeated in 2020-2021, using the same transects and sampling points, by Ryan Buron and Harrison Jones, then graduate students at University of Florida; data from this follow-up study will be archived at EDI as a separate data-package.
2023 Forest Composition Data at the University of Michigan Biological Station, Pellston, MI
In many forests worldwide, insect disturbances are increasing, impacting plant community composition and forest structure. However, the extent to which these changes in community composition and structure influence the amount of C stored annually in plant biomass, or net primary production (NPP), remains poorly understood. We examined whether plant community composition, structural change, and NPP respond similarly to increasing disturbance severity and to the treatment types preferentially affecting large and small diameter trees. This knowledge is vital to management and modeling when trying to make inferences about the structural and functional response of forested ecosystems to various levels of disturbance caused by insects. The Forest Resilience Threshold Experiment (FoRTE) is a replicated study of disturbance type and severity using stem-girdling to achieve four levels of gross defoliation from 0% (control) to 85%. Utilizing five years of leaf litter, seedling, and portable canopy LiDAR data, we analyzed relationships between community composition, structure and NPP across disturbance severity. Our results 5-years after the initiation of the girdling disturbance shows that mid-successional Fagus and Acer species dominate seedling and sapling composition, irrespective of disturbance severities. In contrast, the canopy was predominantly occupied by Acer and Populus species, surpassing Quercus and Fagus. Despite the prediction that high canopy mortality would foster an environment favorable to early successional species, their expected dominance didn’t manifest in any of the plots. NPP exhibited high resistance to disturbance across the gradient of disturbance severity, regardless of compositional changes and level of tree mortality. This suggests a decoupling between composition and production following altered functional responses to disturbance. As we manage forests for greater stability in the face of increasing disturbance and intensifying climate change, o
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.