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29 results for “university of Michigan Biological Station”
Tree species, size class, and DBH in the University of Michigan Biological Station (UMBS) Burn Chronosequence established in 1957 and remeasured in 1979 and 1998
A complete survey of overstory vegetation and saplings in the Bob Farmer plots within the UM Biological Station clearut and burn chronosequence. Surveys were completed in 1979 and 1998 to measure the change in biomass and forest composition in the burn plots with forest succession.
Rain exclusion, herbivory, and vegetaton in Greenstar Meadow at the University of Michigan Biological Station, Pellson, MI (2023)
Precipitation affects water availability, which subsequently influences plant growth, species persistence, and productivity. Critically, global change is causing precipitation patterns to shift, which can lead to changes in plant community composition and may affect the capacity of plant communities to perform essential ecosystem functions. We can use rainout shelters to intercept incoming ambient rainfall and simulate future precipitation conditions to better predict how plant communities may respond to shifts in precipitation. Here, we aimed to study if altered summer precipitation affects plant diversity and biomass by experimentally decreasing summer precipitation using rainout shelters. Furthermore, there can be two experimental plots under a single rainout shelter allowing us to test the combined effects of multiple factors on plant communities. So in addition to manipulating summer precipitation, we also manipulated the presence of insect herbivores using exclosures to quantify the independent and interactive effects of precipitation and insect herbivory on plant species richness, diversity, and biomass. The top-down effects of insect herbivores on plant communities can vary depending on plant water status, suggesting that precipitation and insect herbivory may have interactive effects on plant diversity, community composition, and biomass.
Physical & Chemical Parameters from Lakes in Northern Lower Michigan for RANN Campaign based at the University of Michigan Biological Station, Pellston, MI (1972-1975)
In the early 1970s the University of Michigan Biological Station initiated a series of research projects concerning the quality of the lakes in Northern Michigan under the support of the National Science Foundation through the Research Applied to National Needs (RANN) program. Dr. John Gannon joined the Biological Station's staff in 1972 and directed this program for six years. This research had significant impacts on water quality management of lakes throughout Northern Michigan. The Biological Station continued to receive grants for water quality research for several years after the RANN program had terminated.
Physical & Chemical Parameters from Lakes in Northern Lower Michigan for RANN Campaign based at the University of Michigan Biological Station, Pellston, MI (1972-1975)
In the early 1970s the University of Michigan Biological Station initiated a series of research projects concerning the quality of the lakes in Northern Michigan under the support of the National Science Foundation through the Research Applied to National Needs (RANN) program. Dr. John Gannon joined the Biological Station's staff in 1972 and directed this program for six years. This research had significant impacts on water quality management of lakes throughout Northern Michigan. The Biological Station continued to receive grants for water quality research for several years after the RANN program had terminated.
Stem maps in 4 1-hectare plots in the FASET and DIRT experiments at the University of Michigan Biological Station, Pellston, MI (2006-07)
Our primary objective is to provide an improved understanding of the biological and climatic controls over carbon (C) and energy cycles during and after a successional shift from a mature aspen to a young mixed confer/deciduous forest ecosystem that will be widely distributed across the upper Great Lakes region in coming decades. In Spring 2008, we implemented the Forest Accelerated Succession ExperimenT (FASET) by stem girdling all aspen and birch (gt;6,700 trees, ~35% canopy LAI) within a 39 ha area. A suite of ongoing ecological and meteorological measurements conducted in treatment and control stands before (2007) and after (2008 onwards) the succession treatment are used to quantify effects of climate, species composition, and canopy structure on the forest C cycle. We have established paired treatment and control plots, and surveyed a 25 m grid system within our treatment plots, begun operation of a eddy-covariance tower within the 33 ha treatment plot, conducted intercomparisons of carbon exchange and N allocation between treatment and control plots, remote sensed forest canopy structure, and begun or continued collaborative projects with investigators utilizing this project as a platform for further studies. Our overarching hypothesis is that forest NEP across much of the upper Great Lakes region will increase following transition from aspen dominated ecosystems to those of later-successional species with biologically and structurally more complex canopies. Specific hypotheses: a) Tree mortality will prompt a short-term reduction in NEP. A rapid recovery and stabilization of NEP above that of the control forest will be linked to the magnitude of N leaching losses and the pattern of redistribution of available N. Stands with more species and structurally diverse canopies and greater allocation of N to photosynthetic tissues will have higher NEP. b) Successional change will increase spatial variation in microclimate and nutrient distribution, both of which con
An Isotopic Approach to Partition Evapotranspiration in a Mixed Deciduous Forest at the University of Michigan Biological Station, Pellston, MI (2017)
Transpiration (T) is perhaps the largest fluxes of water from the land surface to the atmosphere and is susceptible to changes in climate, land use and vegetation structure. However, predictions of future transpiration fluxes vary widely and are poorly constrained. Stable water isotopes can help expand our understanding of land–atmosphere water fluxes but are limited by a lack of observations and a poor understanding of how the isotopic composition of transpired vapour (δT) varies. Here, we present isotopic data of water vapour, terrestrial water and plant water from a deciduous forest to understand how vegetation affects water budgets and land–atmosphere water fluxes. We measured subdiurnal variations of δ18OT from three tree species and used water isotopes to partition T from evapotranspiration (ET) to quantify the role of vegetation in the local water cycle. We find that δ18OT deviated from isotopic steady‐state during the day but find no species‐specific patterns. The ratio of T to ET varied from 53% to 61% and was generally invariant during the day, indicating that diurnal evaporation and transpiration fluxes respond to similar atmospheric and micrometeorological conditions at this site. Finally, we compared the isotope‐inferred ratio of T to ET with results from another ET partitioning approach that uses eddy covariance and sap flux data. We find broad midday agreement between these two partitioning techniques, in particular, the absence of a diurnal cycle, which should encourage future ecohydrological isotope studies. Isotope‐inferred estimates of transpiration can inform land surface models and improve our understanding of land–atmosphere water fluxes.
Detrital Inputs and Removal Treatments (DIRT) Experiment at the University of Michigan Biological Station, Pellston, MI (2004-2019)
Ecological research networks functioning across climatic and edaphic gradients are critical for improving predictive understanding of biogeochemical cycles at local through global scales. One international network, the Detrital Input and Removal Treatment (DIRT) Project, was established to assess how rates and sources of plant litter inputs influence accumulations or losses of organic matter in forest soils. DIRT employs chronic additions and exclusions of aboveground litter inputs and exclusion of root ingrowth to permanent plots at eight forested and two shrub/grass sites to investigate how soil organic matter (SOM) dynamics are influenced by plant detrital inputs across ecosystem and soil types. Across the DIRT network described here, SOM pools responded only slightly, or not at all, to chronic doubling of aboveground litter inputs. Explanations for the slow or even negative response of SOM to litter additions include increased decomposition of new inputs and priming of old SOM. Evidence of priming includes increased soil respiration in litter addition plots, decreased dissolved organic carbon (DOC) output from increased microbial activity, and biochemical markers in soil indicating enhanced SOM degradation. SOM pools decreased in response to chronic exclusion of aboveground litter, which had a greater effect on soil C than did excluding roots, providing evidence that root-derived C is not more critical than aboveground litter C to soil C sequestration. Partitioning of belowground contributions to total soil respiration were predictable based on site-level soil C and N as estimates of site fertility; contributions to soil respiration from root respiration were negatively related to soil fertility and inversely, contributions from decomposing aboveground litter in soil were positively related to site fertility. The commonality of approaches and manipulations across the DIRT network has provided greater insights into soil C cycling than could have been revealed at
Annual tree growth for Red and Sugar Maples in six forest plots distributed around Ann Arbor, MI and around the University of Michigan Biological Station (UMBS), 1999 to 2022
The dataset contains the annual growth, in mm, of over 200 red and sugar maple trees. All trees are located in established study sites in the vicinity of Ann Arbor or UMBS.
Michigan Rodents Distribution at the University of Michigan Biological Station, Pellston, MI, from 1883 to 2007
Distribution of rodents in northern Michigan documented by Dr. Phil Myers, et al. We use museum and other collection records to document large and extraordinarily rapid changes in the ranges and relative abundance of 9 species of mammals in the northern Great Lakes region (white-footed mice, woodland deer mice, southern red-backed voles, woodland jumping mice, eastern chipmunks, least chipmunks, southern flying squirrels, northern flying squirrels, common opossums). These species reach either the southern or the northern limit of their distributions in this region. Changes consistently reflect increases in species of primarily southern distribution (white-footed mice, eastern chipmunks, southern flying squirrels, common opossums) and declines by northern species (woodland deer mice, southern red-backed voles, woodland jumping mice, least chipmunks, northern flying squirrels). White-footed mice and southern flying squirrels have extended their ranges over 225 km since 1980, and at particularly well-studied sites in Michigan's Upper Peninsula, small mammal assemblages have shifted from numerical domination by northern species to domination by southern species. Repeated re-sampling at some sites suggests that southern species are replacing northern ones rather than simply being added to the fauna. Observed changes are consistent with predictions from climatic warming but not with predictions based on recovery from logging or changes in human populations. Because of the abundance of these focal species (the 8 rodent species make up 96.5% of capture records of all forest-dwelling rodents in the region and 70% of capture records of all forest-dwelling small mammals) and the dominating ecological roles they play, these changes substantially affect the composition and structure of forest communities. They also provide an unusually clear example of change that is likely to be the result of climatic warming in communities that are experienced by large numbers of people.
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.