skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Winterberry: Fruit retention in fall and winter in 2016-2019 for four shrub species across Alaska
This dataset contains observations of fruit retention and state for Rosa acicularis (prickly rose), Empetrum nigrum (crowberry or blackberry), Vaccinium vitis-idaea (lowbush cranberry or lingonberry) and Viburnum edule (highbush cranberry). Data were collected at 47 sites in 25 communities in 6 ecoregions across Alaska, primarily by youth groups. Ecoregions include Bering taiga, Bering tundra, intermontane boreal, Alaska range transition, Aleutian meadows, and coastal rainforest. Observations were made approximately weekly during snow-free periods in fall and (at some sites) spring. At most sites only one species was monitored but some sites include observations on two species. Data consist of counts of unripe, ripe, rotten, dry, and damaged fruits. The dataset consists of one spreadsheet for each species and a file describing the location and habitat of each site.  more » « less
Award ID(s):
1713156
PAR ID:
10433996
Author(s) / Creator(s):
; ; ; ;
Publisher / Repository:
Environmental Data Initiative
Date Published:
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; ; ; ; ; ; ; ; et al (, PLOS ONE)
    Cooper, Lee W (Ed.)
    The toxic diatom genus Pseudo-nitzschia is distributed from equatorial to polar regions and is comprised of >57 species, some capable of producing the neurotoxin domoic acid (DA). In the Pacific Arctic Region spanning the Bering, Chukchi, and Beaufort seas, DA is recognized as an emerging human and ecosystem health threat, yet little is known about the composition and distribution of Pseudo-nitzschia species in these waters. This investigation characterized Pseudo-nitzschia assemblages in samples collected in 2018 during summer (August) and fall (October-November) surveys as part of the Distributed Biological Observatory and Arctic Observing Network, encompassing a broad geographic range (57.8° to 73.0°N, -138.9° to -169.9°W) and spanning temperature (-1.79 to 11.7°C) and salinity (22.9 to 32.9) gradients associated with distinct water masses. Species were identified using a genus-specific Automated Ribosomal Intergenic Spacer Analysis (ARISA). Seventeen amplicons were observed; seven corresponded to temperate, sub-polar, or polar Pseudo-nitzschia species based on parallel sequencing efforts ( P . arctica , P . delicatissima , P . granii , P . obtusa , P . pungens , and two genotypes of P . seriata ), and one represented Fragilariopsis oceanica . During summer, particulate DA (pDA; 4.0 to 130.0 ng L -1 ) was observed in the Bering Strait and Chukchi Sea where P . obtusa was prevalent. In fall, pDA (3.3 to 111.8 ng L -1 ) occurred along the Beaufort Sea shelf coincident with one P . seriata genotype, and south of the Bering Strait in association with the other P . seriata genotype. Taxa were correlated with latitude, longitude, temperature, salinity, pDA, and/or chlorophyll a , and each had a distinct distribution pattern. The observation of DA in association with different species, seasons, geographic regions, and water masses underscores the significant risk of Amnesic Shellfish Poisoning (ASP) and DA-poisoning in Alaska waters. 
    more » « less
  2. ; ; (, Estuaries and Coasts)
    The Pacific blue mussel (Mytilus trossulus) is a foundation species in high-latitude intertidal and estuarine systems that creates complex habitats, provides sediment stability, is food for top predators, and links the water column and the benthos. M. trossulus also makes an ideal model species to assess biological responses to environmental variability; specifically, its size frequency distributions can be influenced by the environment in which it lives. Mussels that inhabit estuaries in high latitudes receive freshwater runoff from snow and glacial-fed rivers or can be under oceanic influence. These hydrographic conditions work together with local static environmental characteristics, such as substrate type, fetch, beach slope, distance to freshwater, and glacial discharge to influence mussel demographics. In 2019 and 2020, mussels were collected from two Gulf of Alaska ecoregions to determine whether mussel size frequencies change over spatial (local and ecoregional) and hydrographic scales and whether any static environmental characteristics correlate with this variability. This study demonstrated that mussel size frequencies were most comparable at sites with similar hydrographic conditions, according to the ecoregion and year they were collected. Hydrographic conditions explained approximately 43% of the variation in mussel size frequencies for both years, for the combined ecoregions. Mussel recruits (0–2 mm) were more abundant at sites with higher fetch, while large mussels (> 20 mm) were more abundant at more protected sites. Fetch and freshwater influence explained most of the variation in mussel size frequencies for both years and across both ecoregions, while substrate and slope were also important in 2019 and glacial influence in 2020. This study suggests that hydrographic and static environmental conditions may play an important role in structuring mussel sizes. Although differences in mussel size frequencies were found depending on environmental conditions, mussel sizes showed little difference across differing types of freshwater influence, and so they may be resilient to changes associated with melting glaciers. 
    more » « less
  3. ; (, Environmental Data Initiative)
    This data package contains aboveground vegetation cover, volume, and calculated biomass values at the 15 Net Primary Production (NPP) study sites on Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands. Sites were selected to represent the 5 major ecosystem types in the Chihuahuan Desert (upland grasslands, playa grasslands, mesquite-dominated shrublands, creosotebush-dominated shrublands, tarbush-dominated shrublands). For each ecosystem type, three sites were selected to represent the range in variability in production and plant diversity; thus the locations are not replicates. All sites are excluded from domestic grazing. Eleven sites are in non-grazed pastures, and at the other four sites 1 hectare areas around the observational plots were fenced in 1988. At all sites a grid of 49 (48 at one playa location) 1m x 1m replicate quadrats was laid out when sampling began in 1989. For each quadrat, aboveground biomass has been calculated from two data sources: 1) non-destructive horizontal cover and vertical height measurements of individual plants, or plant parts, within each quadrat, and 2) linear regression coefficients for each plant species derived from off-quadrat cover, height, and harvested biomass measurements. Non-destructive measurements (1) are taken during winter, spring, and fall measurement campaigns, then aggregated by species for each quadrat, and resulting dimensions are used to calculate species biomass (grams) by quadrat and season using using the species-specific regression coefficients derived from dataset 2. This is the most detailed biomass dataset available and can be used to derive values of net primary production between seasons or annually. Each dataset record contains calculated biomass (and related variables) by species, quadrat, season, and site. Data collection is ongoing with new observations in spring, fall, and winter of each year, but this data package may be updated less frequently. Attention: 1) For most species, these data are not appropriate for estimates of percentage cover or volume because of the way the data are collected. 2) Calculated values in this data package have changed over time as the methodology for estimating biomass has changed. If you are updating or adding to an earlier analysis of these data we recommend consulting with the dataset authors or a Jornada data manager. 3) Relating long-term NPP derived from this package with long-term precipitation is problematic given the importance of wet and dry periods and their effect on production in these ecosystems. 4) Data from 2013 and later are currently in provisional status and subject to change as we review the allometric equations used for estimating biomass. See Notes in the methods element for further details. 
    more » « less
  4. (, NSF Arctic Data Center)
    Relative abundance of planktic foraminifera in plankton tows was determined to understand species distribution in Alaskan waters and through the Bering Strait. Dataset includes metadata (latitude, longitude, date, water depth, nominal tow depth) of vertical plankton tows from two cruises: SKQ202309T, a transit from Seward, Alaska (AK) to Nome, AK aboard the R/V Sikuliaq in June 2023 and HLY2403 in the Chukchi Sea aboard the United States Coast Guard Cutter (USCGC) Healy in October 2024. Relative species assemblage is reported for each planktic foraminifera species found in plankton tows due to the qualitative collection methods. 
    more » « less
  5. ; (, Environmental Data Initiative)
    This data package contains non-destructive quadrat measurements collected for the long-term Net Primary Production (NPP) study at the Jornada Basin LTER. Data here include measurements of horizontal cover and vertical height of plants observed at permanent NPP quadrats at 15 study sites. Sites were selected to represent the 5 major ecosystem types in the Chihuahuan Desert (upland grasslands, playa grasslands, mesquite-dominated shrublands, creosotebush-dominated shrublands, tarbush-dominated shrublands). For each ecosystem type, three sites were selected to represent the range in variability in production and plant diversity; thus the locations are not replicates. All sites are excluded from domestic grazing. Eleven sites are in non-grazed pastures, and at the other four sites 1 hectare areas around the observational plots were fenced in 1988. At all sites a grid of 49 (48 at one playa location) 1m x 1m replicate quadrats was laid out when sampling began in 1989. Grids consist of 49 quadrats arranged in a square 7 x 7 pattern, with quadrats 10 m apart (P-COLL has 48 quadrats in a 3 x 16 pattern). Standing vegetation in quadrats is sampled three times a year: in winter (February - March), before shrubs begin spring growth; in spring (May), when shrubs and spring annuals have reached peak biomass; in fall (late summer; October), when summer annuals have reached peak biomass but before killing frosts. Additional observations of plant count and phenological stage are also made. This dataset is subsequently used to determine quadrat biomass and net primary production. Details and linked data packages are described in the methods element. This is an ongoing dataset with new quadrat measurements collected in the spring, fall and winter of each year. Attention: 1) For most species, these data are not appropriate for estimates of percentage cover because of the way the data are collected. See Note 1 in the methods element for further details. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email