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13 results for “standing crop”
SBC LTER: REEF: Net primary production, growth and standing crop of Macrocystis pyrifera in Southern California
The giant kelp Macrocystis pyrifera forms subtidal forests on shallow reefs in temperate regions of the world. It is one of the fastest-growing multicellular autotrophs on Earth and its high productivity supports diverse marine food webs. In 2008, we published a method for estimating biomass and net primary production (NPP) of giant kelp along with five years of data, to provide a more integrated measure of NPP than those yielded by previous methods. Our method combines monthly field measurements of standing crop and loss rates with a model of kelp biomass dynamics to estimate instantaneous mass-specific growth rates and NPP for each season of each year. We have since improved our approach to account for several previously unresolved sources of biomass loss. These improvements have led to a near doubling of our prior estimates of growth and NPP. At our site with the most persistent stand of giant kelp, NPP averages ~5.2 kg dry mass m-2 y-1 and results from the rapid growth (~3.5% per day) of a relatively small standing biomass (~ 0.4 kg dry mass m-2 on average) that turns over ~ 12 times annually. Here we provide revised estimates of seasonal biomass, growth and NPP for the five years covered by our previous publication (2002-2006), along with an additional data collect since then (2007-present). We also present updated relationships for predicting giant kelp biomass and NPP from much more easily obtained measurements of frond density. These data can be used to understand the mechanisms that drive variation in giant kelp NPP at a wide range of temporal scales.
Data from Sand aggradation alters biofilm standing crop and metabolism in a low-gradient Lake Superior tributary
We conducted a comparative study of biofilm standing crop and metabolism in the Salmon Trout River, a tributary of Lake Superior where watershed disturbances have led to 3-fold increases in streambed fine sediments, predominately sand, in the past decade. We compared biofilm standing crop and metabolism rates using light–dark chambers in reaches where substrate consisted of predominately exposed rock or sand substrates. This data archive includes rates of primary production and respiration, biomass measurements from chambers, and benthic standing crop and water chemistry data collected from the same river sites over the course of a summer. All data were published in Journal of Great Lakes research in 2015, https://doi.org/10.1016/j.jglr.2015.09.004
Aboveground Standing Crop Biomass:Nutrient Network A cross-site investigation of bottom-up control over herbaceous plant community dynamics and ecosystem function
This experiment is one implementation of a globally distributed experiment, known as the Nutrient Network. At Cedar Creek, as in over 70 other sites in grasslands around the world, the experiment aims to describe impacts of increased nutrients (nitrogen, phosphorus, potassium, sulfur and other metals) and decreased herbivory (removal of mammals by fencing). Two overarching questions are being explored with these manipulations: 1. To what extent are plant production and diversity co-limited by multiple nutrients in herbaceous-dominated communities? 2. Under what conditions do grazers or fertilization control plant biomass, diversity, and composition? By utilizing identical protocols at diverse grassland sites around the world, NutNet aims to uncover both the generalities in ecosystem functioning, and the contingencies or differences which can obscure those common mechanisms. In addition to the standard NutNet protocol, e247 includes an additional low Nitrogen gradient (1 gram Nitrogen per meter squared per year and 5 grams Nitrogen per meter squared per year in addition to the standard 10 grams Nitrogen per meter squared per year).
Benthic organic matter (BOM) standing crops along the Ball Creek / Coweeta Creek elevational gradient at the Coweeta Hydrologic Laboratory from 1991 to 1992
We investigated how benthic organic matter (BOM) standing CR varied over space and time in the context of an elevational stream-size gradient. Samples were collected with a stratified random procedure to also study how BOM varied with respect to the major habitat patches within the stream. Habitat patch include cobble-riffle, sandy-reach, and rock. Benthic organic matter was collected efuarterly from streams draining a 9-yr-old clearcut, an 18-yr-old "old-field", a 25-yr-old successional forest, and two reference watersheds at Coweeta Hydrologic Laboratory in the Appalachian Mountains of North Carolina, USA. Samples were separated into large benthic organic matter (LBOM >1 mm) and fine benthic organic matter (FBOM <1 mm). An additional survey of large (>5 cm diam.) and small (1-5 cm diam.) wood was conducted. This study was conducted from 1991 to 1992.
SBC LTER: Reef: Net primary production, growth and standing crop of Macrocystis pyrifera in Southern California
This data package has been deprecated because the models/methods have been changed. Please see the new data package using updated models: Updated Kelp NPP packages. These data are a time series of net primary production (NPP), growth and standing crop for the giant kelp, Macrocystis pyrifera, that is appropriate for examining seasonal and inter-annual patterns across multiple sites. The standing crop and loss rates of M. pyrifera are measured monthly in permanent plots at three sites in the Santa Barbara Channel, USA. Collection of these data began in May 2002 and is ongoing. Seasonal estimates of NPP and growth rate are made by combining the field data with a model of kelp dynamics. The dataset includes plant density in each plot and censuses of fronds on tagged plants at each site. NPP, mass specific growth rate and standing crop are presented in four metrics (wet mass, dry mass, carbon mass and nitrogen mass) to facilitate comparisons with previous studies of M. pyrifera and with NPP measured in other ecosystems. A subset of these data covering the time period 2002-05-01 to 2007-12-31 were contributed to Ecological Archives as Data Paper E089-119-D1 in 2008 (citation: Andrew Rassweiler, Katie K. Arkema, Daniel C. Reed, Richard C. Zimmerman, and Mark A. Brzezinski. 2008. Net primary production, growth, and standing crop of Macrocystis pyrifera in southern California. Ecology 89:2068).
Livestock Exclosure Study: Aboveground Standing Crop from a Chihuahuan Desert Grassland at the Sevilleta National Wildlife Refuge, New Mexico (2005-2007)
Grazing in grasslands creates changes in plant community structure. The magnitude of these changes depends on the productivity and the intensity of grazing. Low productivity grasslands coupled with high grazing intensity may lead to shrub encroachment in some aridland ecosystems. We examined the effects of cattle grazing in arid grassland at the Sevilleta LTER site in central New Mexico USA where cattle were removed in 1973 and an area just north of the Sevilleta LTER where grazing by cattle still occurs. At each site we measured plant species composition and cover in permanent plots in the spring and fall from 2004 to 2007. Quadrats were clipped annually to quantify aboveground standing crop to answer the following questions: 1) Does cattle grazing affect plant species composition and standing crop? 2) Does grazing alter community response to inter-annual climate variability? and 3) How does grazing impact the abundance of native grasses?
Gunnison's Prairie Dog Relocation Project: Vegetation Standing Crop Data from the Sevilleta National Wildlife Refuge, New Mexico (2005-2011)
Grasslands are among the most imperiled ecosystems in the world where the loss of native species is a consequence of agriculture and desertification. In North America, 90% of the grassland has been converted to cropland where vast areas are now desertified. North America's most iconic grassland herbivores, bison and prairie dogs, are now extinct throughout most of their historic range. This study measures the standing crop of plant vegetation (perennial and annual combined) for the year on areas occupied and not occupied by Gunnison's prairie dogs on the Sevilleta National Wildlife Refuge (NWR).
Fecal standing crop with real time correction using scat detection dogs to estimate population density
<p>Population density is fundamental information for assessing the conservation status of species and support management and conservation actions for in situ populations, but is unknown for many forest species due to their difficulty in detection. The Fecal Standing Crop (FSC) method using detection dogs is an alternative for cryptic or elusive species. An intrinsic difficulty of FSC is the ability to find fecal samples in the field and to estimate the probability of which feces detection is influenced by degradation due to climatic conditions. Our goal was to propose a concurrent FSC parameter estimation using a scat detection dog under different climatic conditions and apply those parameters in a wild deer population. Ten fecal samples of gray brocket deer (Subulo gouazoubira) were placed weekly in a transect (24 x 1200 m) in both dry and wet seasons (12 weeks each). A scat detection dog was then employed to find experimental fecal samples to determine the FSC parameters that were subsequently used with naturally occurring fecal samples (also dog-detected) to estimate population density. The oldest dog found samples were 21 (Dry) and seven (Wet) days after placement, resulting in dog efficiency of 23% (Dry) and 30% (Wet). Adjusting the model to account for efficiency and scat durability, we estimated similar, seasonal, densities of 4.54 individuals km-2 (SD = 2.21, Dry) and 5.52 indiv. km-2 (SD = 3.71, Wet).</p> <p><em>Synthesis and applications:</em> Our results demonstrate that our concurrent methodology corrected the effects of weather and habitat on FSC parameters thereby allowing for accurate population density estimation. Additionally, this method can provide reasonably precise density estimates with a logistically feasible sample size, as demonstrated by simulation. Following our recommendations, this method allows a reliable estimate of population density because it incorporates any influence of study area, dog ability, and climate in fecal sample detection, providing fundamental information for the conservation of many cryptic and elusive species.</p>
Fecal standing crop with real time correction using scat detection dogs to estimate population density
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KBS Stand Counts in Row Crop Agriculture on the Main Cropping System Experiment at the Kellogg Biological Station, Hickory Corners, MI (2003 to 2006)
Dataset Abstract Annual stand count data from the Main site Agronomic Plots T1 through T4. original data source http://lter.kbs.msu.edu/datasets/33
Data from: 28 years of vegetation standing crop data from the Mississippi river delta
<p>Deltaic landscapes go through cycles of birth, growth, decline, to death governed by intertwined geological, biological, and ecological processes. This study tracks deltaic lobes in the Balize Mississippi River Delta, Louisiana, USA over ~3 decades (study years 1984–2012). Hydrologic and geomorphic patterns and those which sustain patterns to wetland plant richness, diversity, and biomass are described. Plant diversity and biomass were modeled by nMDS ordination. Taxa (53) were harvested and dried (116,706g) from 965 (0.25 m<sup>2</sup>) plots and divided into three groups: I. 4 Foundation Species; 78.9% of total harvest; II. 9 Pioneer Species; 13.6% of total harvest; III. All Other taxa; 7.5% of total harvest (8 Miscellaneous Grasses, 8 Miscellaneous Sedges, 24 Miscellaneous Herbs). Autogenic/allogenic processes (sedimentation, subsidence, plant colonization, succession events) affect composition and biomass. Eleven important species were identified. Taxa's richness increased on mudflats during primary succession (15 to 25 taxa per site), then declined to fewer than 5 per site. Niche-space theory explained patterns to community change. There was similar total biomass/yr (~500 g/m<sup>2</sup>/yr) at study sites. Quantile regression analyses showed water quality and quantity of the Mississippi River influenced biomass especially spring-time waters. Stochastic events (storms, herbivory, salt-burn, flood-pulses) impacted biomass. Long-term studies like this are required in a future of climate unknowns.</p>
Data from: 28 years of vegetation standing crop data from the Mississippi river delta
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Standing Crop & Nitrogen Content (FIFE)
The FIFE Standing Crop and Nitrogen Content Data Set contains biomass and nitrogen concentration data for live and dead above-ground plant material collected along transects in watersheds within the FIFE study area. The transects were in watersheds that had undergone burning and grazing treatments. Point physical descriptors (elevation, slope, and soil depth) are also included in the data set. Substantial variation in biomass, and N accumulation occurred over time, with topography, and as a result of grazing and previous burning (Schimel et al. 1991a, Kittel et al. 1990, Turner et al. 1992, Davis et al. 1992).
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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.