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Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest understory data, Jobos Bay NERR, March 2022 - August 2022

This dataset describes the structure and composition of the mangrove forest understory in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). The dataset includes information on the number of seedlings and saplings of each species as sampled in four 1 m2 quadrats in each 100 m2 structural sampling plot. The dataset also includes counts of the five tallest pneumatophores occurring in each quadrat. The height of pneumatophores was used as a proxy for the average maximum high water level in a plot. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).

Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest structure data, Jobos Bay NERR, March 2022 - August 2022

The dataset describes the structure, composition, and condition of mangrove forests in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). The dataset includes information on each stem greater than or equal to 1 cm DBH (diameter at breast height) rooted within 64 100 m2 circular plots. Information collected includes site ID, location, species, DBH, status (live or dead), damage associated with the hurricane, presence/absence of regrowth, presence/absence of adventitious roots, whether or not stem is part of a multi-stemmed individual, and the canopy conditions (whether the stem has a leafed canopy or is only sprouting at the base if live). This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).

Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest coarse woody debris data, Jobos Bay NERR, March 2022 - August 2022

This dataset describes the quality and size of coarse woody debris (downed woody debris > 7.5 cm in diameter) for each mangrove forest plot in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). Data was collected along three 20 m transects beginning at each plot center point and heading toward a randomly-selected azimuth. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).

Mangrove Coast Collaborative Project, Post-hurricane mangrove forest coarse woody debris data, Rookery Bay NERR, February 2022 - March 2023

This dataset describes the quality and size of coarse woody debris (downed woody debris > 7.5 cm in diameter) for each mangrove forest plot in Rookery Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Irma (2017) and concurrent with Hurricane Ian (2022). Data was collected along three 20 m transects beginning at each plot center point and heading toward a randomly-selected azimuth. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).

Mangrove Coast Collaborative Project, Post-hurricane mangrove forest downed woody debris data, Rookery Bay NERR, February 2022 - March 2023

This dataset describes the quantity and size distribution of downed woody debris for each mangrove forest plot in Rookery Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Irma (2017) and concurrent with Hurricane Ian (2022). Data was collected along three 20 m transects beginning at each plot center point and heading toward a randomly-selected azimuth. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).

Mangrove Coast Collaborative Project, Post-hurricane Maria mangrove forest downed woody debris data, Jobos Bay NERR, March 2022 - August 2022

This dataset describes the quantity and size distribution of downed woody debris for each mangrove forest plot in Jobos Bay National Estuarine Research Reserve (NERR) assessed approximately 5 years after disturbance from Hurricane Maria (2017). Data was collected along three 20 m transects beginning at each plot center point and heading toward a randomly-selected azimuth. This dataset is associated with the Mangrove Coast Collaborative project (2020 - 2024).

openCC (other)Oct 2025View details →

Data of predation on mussels from an LTREB project in the Gulf of Maine, USA, from 1996 to 2021.

Experimental clearings in macroalgal (Ascophyllum nodosum) stands were made in 1996 to determine if mussel beds and macroalgal stands on protected intertidal shores in New England represent alternative community states. Uncleared control plots and four sizes of circular clearings (1m, 2m, 4m and 8m in diameter), which mimicked ice scour events, were established in A. nodosum stands at 12 sites on Swan’s Island, Maine, USA. This dataset reports mussel predation on clumps of 15 mussels (Mytilus edulis) using mesh bags placed in the centers of clearings and controls. Mussel mortality was monitored in 1996, 1999, 2000, 2003, 2004, 2007 and then annually from 2010 to 2021. Causes of death were attributed to dogwhelks (Nucella lapillus), crabs (Carcinus maenas and Cancer spp.) or unknown causes. Presence and activities (e.g., drilling) of dogwhelks was also recorded. The standardized identifiers (Bay, Site, Plot) allow integration with related Environmental Data Initiative packages on community composition and recruitment of mussels, barnacles and rockweeds. Research was funded by NSF's LTREB program.

openCC (other)Nov 2025View details →

Soil and litter microclimate data from NEON and LTER Sites Across Eight U.S. Ecoregions (CliMush Project), 2022–2023

Data include soil and litter measurements for moisture, pH, and carbon-to-nitrogen ratio. Samples were collected from 8 different ecoregions, as determined by NEON, at various NEON/LTER and/or other experimental sites. Soil cores and litter samples were taken in the spring and fall of 2022.

openCC (other)Apr 2022View details →

Daily porewater salinity, conductivity, and temperature measurements from the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) Project

The Georgia Coastal Ecosystems LTER Seawater Addition Long-Term Experiment (SALTEx) is a large-scale field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. Six porewater well samples were collected four days per week from six treatment plots using a peristalsis pump. Salinity and conductivity were measured from the samples using a handheld conductivity/salinity meter. In addition, water delivery treatments were conducted four days per week after porewater samples were collected.

openCC0Dec 2023View details →

Soil Properties in CRUI Land Use Project at Harvard Forest 1995-1998

Soil properties and processes were evaluated on three types of colonial agricultural land-use - plowing, pasturing, and selective tree removal in a woodlot that ceased in the mid to late 1800s. Plowing, the most intensive type of agricultural disturbance, mixes soil to a depth of approximately 15cm, homogenizing the soil resources and likely reducing diversity in microenvironments. Removing trees and replacing them with grasses for pasture decreases the organic matter amount and types of inputs to the system, decreasing resource diversity. Woodlots, altered by selective and chronic tree removal, would have more limited decreases in resources and microenvironments. This study defines forest soil legacies using data from plots located at Harvard Forest in both amounts of soil resources and spatial heterogeneity of those soil resources. We found that for several soil parameters measured on previously cultivated and preciously pastured lands at the Harvard Forest, a legacy exists in the mineral soil, but the forest floor appears to have largely recovered from the agricultural disturbance. Parameters examined included soil mass, bulk density, organic matter content, pH, C, N, nitrogen mineralization and nitrification, Ca, Mg, K, and P.

openCC0Dec 2023View details →

Soil Respiration in CRUI Land Use Project at Harvard Forest 1997

Soil properties and processes were evaluated on three types of colonial agricultural land-use - plowing, pasturing, and selective tree removal in a woodlot that ceased in the mid to late 1800s. Plowing, the most intensive type of agricultural disturbance, mixes soil to a depth of approximately 15cm, homogenizing the soil resources and likely reducing diversity in microenvironments. Removing trees and replacing them with grasses for pasture decreases the organic matter amount and types of inputs to the system, decreasing resource diversity. Woodlots, altered by selective and chronic tree removal, would have more limited decreases in resources and microenvironments. This study examined soil surface (at 10cm above the soil surface) CO2 concentrations and soil respiration at the land use sites. Soil respiration and surface CO2 concentrations were highest in the woodlot sites and lowest in the formerly plowed sites.

Fluxes project at North Temperate Lakes LTER: Random lake survey 2004

The overarching goal of this project is to understand carbon and nutrient cycles for a landscape on which terrestrial and freshwater systems are intimately connected in multiple and reciprocal ways. In the Northern Highlands region of Wisconsin, they are studying a spatially complex landscape in which water features make up almost half of the land area, with wetlands (27% of land surface) and lakes (13%) both prevalent throughout the region, interspersed in upland forests. Weather and limnological data from a set of 170 lakes in the NHLD samples summer 2004. The sampled lakes were from a random stratified subsample (N=300 of 7588 total) of all the lakes in the NHLD.

Cascade Project at North Temperate Lakes LTER cross-lakes comparison carbon Data 1988 - 2007

Data on dissolved organic and inorganic carbon as well as particulate organic matter and the partial pressure of CO2. Samples were collected with a Van Dorn bottle. Organic samples were collected from the epilimnion, metalimnion, and hypolimnion. Inorganic samples were collected at depths corresponding to 100%, 50%, 25%, 10%, 5%, and 1% of surface irradiance, as well as one sample from the hypolimnion. Samples for the partial pressure of CO2 were collected from two meters above the lake surface (air) and just below the lake surface (water).

Fluxes project at North Temperate Lakes LTER: Spatial Metabolism Study 2007

Data from a lake spatial metabolism study by Matthew C. Van de Bogert for his Phd project, "Aquatic ecosystem carbon cycling: From individual lakes to the landscape." The goal of this study was to capture the spatial heterogeneity of within-lake processes in effort to make robust estimates of daily metabolism metrics such as gross primary production (GPP), respiration (R), and net ecosystem production (NEP). In pursuing this goal, multiple sondes were placed at different locations and depths within two stratified Northern Temperate Lakes, Sparkling Lake (n=35 sondes) and Peter Lake (n=27 sondes), located in the Northern Highlands Lake District of Wisconsin and the Upper Peninsula of Michigan, respectively.Dissolved oxygen and temperature measurements were made every 10 minutes over a 10 day period for each lake in July and August of 2007. Dissolved oxygen measurements were corrected for drift. In addition, conductivity, temperature compensated specific conductivity, pH, and oxidation reduction potential were measured by a subset of sondes in each lake. Two data tables list the spatial information regarding sonde placement in each lake, and a single data table lists information about the sondes (manufacturer, model, serial number etc.). Documentation:Van de Bogert, M.C., 2011. Aquatic ecosystem carbon cycling: From individual lakes to the landscape. ProQuest Dissertations and Theses. The University of Wisconsin - Madison, United States -- Wisconsin, p. 156. Also see Van de Bogert, M.C., Bade, D.L., Carpenter, S.R., Cole, J.J., Pace, M.L., Hanson, P.C., Langman, O.C., 2012. Spatial heterogeneity strongly affects estimates of ecosystem metabolism in two north temperate lakes. Limnology and Oceanography 57, 1689-1700.

Fluxes project at North Temperate Lakes LTER: Hydrology Scenarios Model Output

A spatially-explicit simulation model of hydrologic flow-paths was developed by Matthew C. Van de Bogert and collaborators for his PhD project, " Aquatic ecosystem carbon cycling: From individual lakes to the landscape." The model is coupled with an in-lake carbon model and simulates hydrologic flow paths in groundwater, wetlands, lakes, uplands, and streams. The goal of this modeling effort was to compare aquatic carbon cycling in two climate scenarios for the North Highlands Lake District (NHLD) of northern Wisconsin: one based on the current climate and the other based on a scenario with warmer winters where lakes and uplands do not freeze, hereinafter referred to as the "no freeze" scenario. In modeling this "no freeze" scenario the same precipitation and temperature data as the current climate model was used, however temperature inputs were artificially floored at 0 degrees Celsius. While not discussed in his dissertation, Van de Bogert considered two other climate scenarios each using the same precipitation and temperature data as the current climate scenario. These scenarios involved running the model after artificially raising and lowering the current temperature data by 10 degrees Celsius. Thus, four scenarios were considered in this modeling effort, the current climate scenario, the "no freeze" scenario, the +10 degrees scenario, and the -10 degrees scenario. These data are the outputs of the model under the different scenarios and include average monthly temperature, average monthly rainfall, average monthly snowfall, total monthly precipitation, daily evapotranspiration, daily surface runoff, daily groundwater recharge, and daily total runoff. Note that the results of how temperature inputs influence aquatic carbon cycling under these different scenarios is not included in this data set, refer to Van de Bogert (2011) for this information.Documentation: Van de Bogert, M.C., 2011. Aquatic ecosystem carbon cycling: From individual lakes to the landscape. Pr

Cascade project at North Temperate Lakes LTER - High-resolution spatial analysis of CASCADE lakes during experimental nutrient enrichment 2015 - 2016

This dataset contains high-resolution spatio-temporal water quality data from two experimental lakes during a whole-ecosystem experiment. Through gradual nutrient addition, we induced a cyanobacteria bloom in an experimental lake (Peter Lake) while leaving a nearby reference lake (Paul Lake) as a control. Peter and Paul Lakes (Gogebic county, MI USA), were sampled using the FLAMe platform (Crawford et al. 2015) multiple times during the summers of 2015 and 2016. In 2015 nutrient additions to Peter Lake began on 1 June, and ceased on 29 June, Paul Lake was left unmanipulated. In 2016 no nutrients were added to either lake. Measurements were taken using a YSI EXO2 probe and a Garmin echoMap 50s. Sensor- data were collected continuously at 1 Hz and linked via timestamp to create spatially explicit data for each lake. Crawford, J. T., L. C. Loken, N. J. Casson, C. Smith, A. G. Stone, and L. A. Winslow. 2015. High-speed limnology: Using advanced sensors to investigate spatial variability in biogeochemistry and hydrology. Environmental Science & Technology 49:442â€“450.

Cascade Project at North Temperate Lakes LTER High Frequency Sonde Data from Food Web Resilience Experiment 2008 - 2011

High-frequency sonde data collected from the surface waters of two lakes in Upper Peninsula of Michigan during the summers of 2008-2011. The food web of Peter Lake was slowly transformed by gradual additions of Largemouth bass (Micropterus salmoides) while Paul Lake was an unmanipulated reference. Sonde data were used to calculate resilience indicators to evaluate the stability of the food web and to calculate ecosystem metabolism.

Cascade Project at North Temperate Lakes LTER Phosphorus, Chlorophyll, DOC, Color, and pH for Twenty UNDERC Lakes 1995 - 2003

Data on total phosphorous, chlorophyll a, dissolved organic carbon, water color, and pH for a set of lakes located at the University of Notre Dame Environmental Research Center (UNDERC). Surface water samples were collected monthly from May through August either from shore with a telescoping pole or from a boat. Twenty lakes were sampled from 1995-2000. Fifteen of these lakes were sampled from 2001-2003.

Cascade project at North Temperate Lakes LTER - High Frequency Data for Whole Lake Nutrient Additions 2013-2015

High frequency continuous data for temperature, dissolved oxygen, pH, chlorophyll a, and phycocyanin in Paul, Peter, and Tuesday lakes from mid-May to early September for the years 2013, 2014 and 2015. Inorganic nitrogen and phosphorus were added to Peter and Tuesday lakes each year while Paul Lake was an unfertilized reference.

Cascade project at North Temperate Lakes LTER - Daily Chlorophyll Data for Whole Lake Nutrient Additions 2013-2015

Daily chlorophyll for surface water samples in Paul, Peter, and Tuesday lakes from mid-May to early September for the years 2013, 2014 and 2015. Inorganic nitrogen and phosphorus were added to Peter and Tuesday lakes each year while Paul Lake was an unfertilized reference.