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12 results for “watershed management”
Soil microbial and physicochemical data from watersheds impacted by different management practices or wildfire in the Southern Appalachian Mountains, 2023
Four forested watersheds in Western North Carolina with different management practices or disturbance were sampled in the summer of 2023 to compare soil physicochemical, microbial, and functional differences. These data include mineral soil physicochemical properties (location, elevation, aspect, gravimetric moisture content, pH, total carbon and nitrogen, total organic carbon, dissolved organic carbon and nitrogen, total dissolved nitrogen, dissolved inorganic nitrogen (NO3 and NH4), and microbial biomass carbon and nitrogen), soil microbial properties (16S ASV community sequences, ITS ASV community sequences, extracellular enzyme activity, carbon mineralization rates, and ammonium mineralization rates), and organic soil properties (total organic carbon, total carbon and nitrogen, 16S ASV sequences, pH, and moisture). Together, this dataset provides context to understanding the impacts of different management practices and relevant disturbances, such as severe wildfire, on soil in the Southern Appalachian region.
Epiphytic macrolichens in relation to forest management and topography in a western Oregon watershed, 1997-1999 (Berryman thesis)
Epiphytic macrolichen communities were sampled in 117 coniferous stands in Blue River watershed of western Oregon. Stands were sampled across various stand types defined by stand structure, according to age classes of the younger tree cohort and remnant tree retention. Remnant trees were those in an older cohort that remained following a stand disturbance that initiated tree regeneration, such as a timber harvest or natural forest fire. Stands were located in upland and riparian forests of two vascular plant series (western hemlock and true fir). Presence and abundance of all epiphytic macrolichen species were sampled in a 0.4 ha circular Forest Health Monitoring (FHM) plot in the 117 stands. Epiphytic lichen biomass (oven-dried, kg/ha) was estimated for three functional groups: nitrogen-fixing cyanolichens, forage lichens, and matrix lichens in 63 of the 117 stands.
Dataset: Employing the Generalized Pareto Distribution to Analyze Extreme Rainfall Events on Consecutive Rainy Days in Thailand's Chi Watershed: Implications for Flood Management
<p>This data set is used to employing the generalized Pareto distribution to analyze extreme rainfall events on consecutive rainy days in Thailand's Chi watershed. A case of implications for flood management. Observational raw data from Thailand were provided by the Climate Information Services (CIS) at https://www.tmd.go.th/cis/main.php.</p>
Master database for publication "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index"
<p> </p> <p>The spreadsheet is the master database used for the research with the title of "Stakeholder engagement and knowledge co-production for better watershed management with the Freshwater Health Index" to be published on <em>Current Research in Environmental Sustainability</em> in late 2022.</p> <p>The data include narratives for six principles on stakeholder engagement and knowledge co-production. These principles were derived by combining Talley et al’s five principles for effective stakeholder engagement (Talley et al. 2016) with Norström et al’s four principles for knowledge co-production (Norström et al. 2020). The six principles were aligned with the components of the freshwater health index (FHI) framework. Project leaders from nine FHI case studies completed a text table based on the description of the six principles and their FHI factors. This process generated the present master qualitative database with narrative responses. </p> <p>The socio-ecological context for each case study is provided for contextualization.</p>
Silicon concentrations and stoichiometry in two agricultural watersheds: implications for management and downstream water quality
Agriculture alters the biogeochemical cycling of nutrients such as nitrogen (N), phosphorus (P), and silicon (Si) which contributes to the stoichiometric imbalance among these nutrients in aquatic systems. Limitation of Si relative to N and P can facilitate the growth of non-siliceous, potentially harmful, algal taxa which has severe environmental and economic impacts. Planting winter cover crops can retain N and P on the landscape, yet their effect on Si concentrations and stoichiometry is unknown. We analyzed three years of biweekly concentrations and loads of dissolved N, P, and Si from subsurface tile drains and stream water in two agricultural watersheds in northern Indiana. Intra-annual patterns in Si concentrations and stoichiometry showed that cover crop vegetation growth did not reduce in-stream Si concentrations as expected, although, compared to fallow conditions, winter cover crops increased Si:N ratios to conditions more favorable for diatom growth. To assess the risk of non-siliceous algal growth, we calculated a stoichiometric index to quantify biomass growth facilitated by excess N and P relative to Si. Index values showed a divergence between predicted algal growth and what we observed in the streams, indicating other factors influence algal community composition. The stoichiometric imbalance was more pronounced at high flows, suggesting increased risk of harmful blooms as climate change increases the frequency and intensity of precipitation in the midwestern U.S. Our data include some of the first published measurements of Si within small agricultural watersheds and provide the groundwork for understanding the role of agriculture on Si export and stoichiometry.
Coupling nitrogen removal and watershed management to improve global lake water quality
<p>Updated dataset and code for the article "Coupling nitrogen removal and watershed management to improve global lake water quality" after removing deep lakes.</p>
Dataset for Enhancing Watershed Management through Adaptive Source Apportionment under Changing Environment
<p>D1.sheet. The livestock and poultry information in Hangbu River in 2017</p> <p>D2.sheet. The nitrogen emission of different sources in Hangbu River</p> <p>D3.sheet. The phosphorus emission of different sources in Hangbu River</p> <p>D4.sheet. The Proportion of nitrogen emissions of different sources in Hangbu River</p> <p>D5.sheet. The Proportion of phosphorus emissions of different sources in Hangbu River</p> <p>D6.sheet. The Proportion of nitrogen contribution of different sources in Hangbu River</p> <p>D7.sheet. The Proportion of phosphorus contribution of different sources in Hangbu River</p> <p>D8.sheet. The three dynamic contribution indicators: contribute value, trend of change, and robustness</p> <p>D9.sheet. The Pareto fronts for dynamic source apportionment in nitrogen</p> <p>D10.sheet. The Pareto fronts for dynamic source apportionment in phosphorus</p>
NH Department of Environmental Services (NHDES) Watershed Management Bureau Biology Section: Lake Trophic Survey Environmental Monitoring data, 1995-2014
This program was initially established in 1975 in order to identify the trophic state of NH lakes and ponds, as required by Section 314(a) of PL 92-500 (the Federal Water Pollution Control Act Amendments of 1972). The purpose of the program is to determine lake trophic class and monitor physical, chemical and biological water quality parameters. Each year, 40 different lakes and ponds are surveyed, once in the summer and once in the winter. The surveys are comprehensive physical, chemical and biological surveys, including electronic depth soundings, macrophyte identifications and abundance ratings, shoreline bacteria sampling and at the deep spot a temperature/dissolved oxygen/percent saturation profile, Secchi disk transparency reading, samples for chlorophyll, Ca, Mg Na, and K in the upper water layer, phytoplankton and zooplankton net hauls for identification and counts and discrete water samples at two or three depths for pH, acid neutralization capacity, apparent color, conductivity, TP, Total Kjeldahl nitrogen, nitrite+nitrate nitrogen, chloride, and sulfate. The surveys are designed to assess current baseline conditions and compliance with water quality criteria, identify the lake’s trophic status, determine acid rain impacts and the existence of exotic aquatic plants and provide information for gross long-term trend analyses.
NH Department of Environmental Studies (NHDES): Watershed Management Bureau Volunteer Lakes Assessment Program Lake Sunapee, 1986-2012
Data on Lake Sunapee were compiled by Kathleen Weathers’ Lab, Cary Institute of Ecosystem Studies. Data were collected by Lake Sunapee Protective Association (LSPA) and analyzed by NH Department of Environmental Services (NHDES). LSPA has been concerned with water quality since its founding in 1898, when the issues were sawdust and trash in the lake and the level of the lake water. In the 1950’s LSPA collected water samples and tested for E.coli in order to have Lake Sunapee meet the standards to be named a class A (drinking water quality) lake in New Hampshire. Starting in the 1980’s, LSPA volunteer water quality monitors have been regularly sampling Lake Sunapee’s water in cove and deep sites in Lake Sunapee, and more recently in its tributary streams. The samples are analyzed in LSPA’s Water Quality Laboratory at Colby-Sawyer College; NH Department of Environmental Services provides an annual water quality report based on its analysis of the data as part of the VLAP (Volunteer Lake Assessment) Program. The LSPA lab at Colby-Sawyer College, run by Bonnie Lewis under strict quality standards as a sister lab to the state lab at NH Department of Environmental Services, also processes water samples for about twenty five area lakes.
NH Department of Environmental Services (NHDES) Watershed Management Bureau Biology Section: Volunteer Lake Assessment Program (VLAP) Environmental Monitoring data, 1995-2014
The New Hampshire Volunteer Lake Assessment Program was initiated in 1985 in response to an expressed desire of lake associations to be involved in lake protection and watershed management. VLAP is a cooperative program between volunteer monitors and the DES which leads to local awareness of land use and human practices that may be detrimental to lake quality and also empowers communities in their decision-making regarding lake management issues. The three major partners are the NHDES Biology Section, numerous volunteer monitors located throughout the state, and the VLAP satellite laboratories. Sara Steiner, NHDES VLAP Coordinator (who reports directly to Jody Connor, the Limnology Center Director and VLAP Program Manager), has the overall responsibility for training the volunteer monitors throughout the state in sample collection and watershed monitoring, conducting annual site visits and training interns to conduct annual site visits. NHDES and the volunteer monitors will collect samples from their lake/pond and its watershed, and will then bring samples to the NHDES Limnology Center, the Lake Sunapee Region Laboratory at Colby Sawyer College in New London, or the Environmental Research Laboratory at Plymouth State University in Plymouth. The purpose of VLAP is to assess the chemical and biological characteristics of the lakes and ponds throughout the state to determine overall health of the system. Environmental results are measured by making comparisons to established means and ranges of water quality for the state of New Hampshire. Chemical, biological, and physical parameters are measured and compared to lakes throughout the state. This data is provided to NHDES and the volunteer monitors. The data is used by the NHDES for assessment, education, and reporting purposes. The data are used by the volunteer monitors for educational purposes and for guiding local lake management activities. Volunteers collect water at least once per month during the summer (June –
Data from: Suburban watershed nitrogen retention: estimating the effectiveness of stormwater management structures
Excess nitrogen (N) is a primary driver of freshwater and coastal eutrophication globally, and urban stormwater is a rapidly growing source of N pollution. Stormwater best management practices (BMPs) are used widely to remove excess N from runoff in urban and suburban areas, and are expected to perform under a wide variety of environmental conditions. Yet the capacity of BMPs to retain excess N varies; and both the variation and the drivers thereof are largely unknown, hindering the ability of water resource managers to meet water quality targets in a cost-effective way. Here, we use structured expert judgment (SEJ), a performance-weighted method of expert elicitation, to quantify the uncertainty in BMP performance under a range of site-specific environmental conditions and to estimate the extent to which key environmental factors influence variation in BMP performance. We hypothesized that rain event frequency and magnitude, BMP type and size, and physiographic province would significantly influence the experts' estimates of N retention by BMPs common to suburban Piedmont and Coastal Plain watersheds of the Chesapeake Bay region. Expert knowledge indicated wide uncertainty in BMP performance, with N removal efficiencies ranging from <0% (BMP acting as a source of N during a rain event) to >40%. Experts believed that the amount of rain was the primary identifiable source of variability in BMP efficiency, which is relevant given climate projections of more frequent heavy rain events in the mid-Atlantic. To assess the extent to which those projected changes might alter N export from suburban BMPs and watersheds, we combined downscaled estimates of rainfall with distributions of N loads for different-sized rain events derived from our elicitation. The model predicted higher and more variable N loads under a projected future climate regime, suggesting that current BMP regulations for reducing nutrients may be inadequate in the future.
Data from: Suburban watershed nitrogen retention: estimating the effectiveness of stormwater management structures
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