Using a weight-of-evidence approach for management of watersheds

2006 ◽  
Vol 54 (3) ◽  
pp. 71-76 ◽  
Author(s):  
S.C. Long ◽  
J.D. Plummer ◽  
T. Tauscher ◽  
M. Aull
Keyword(s):  
Land Use ◽  
Best Management Practices ◽  
Management Practices ◽  
Water Quality Monitoring ◽  
Weight Of Evidence ◽  
Source Tracking ◽  
Septic Systems ◽  
Plant Nursery ◽  
Agricultural Animal ◽  
Industrial Operations

This research used a weight-of-evidence approach to evaluate sources of contaminants in a drinking water watershed that serves as part of the City of Boston's water supply. The approach incorporated land use analysis using GIS, sanitary surveys, traditional water quality monitoring and microbial source tracking (MST) tools. Case-study tributaries were selected based on elevated faecal coliform counts. Land use analysis and sanitary surveys were used to identify suspected microbial sources, including residential septic systems, agricultural animal operations, commercial/industrial operations and wildlife activity. Sampling sites were selected to hydrologically isolate potential contamination sources. Samples were collected seasonally over 1 year and analysed for traditional and MST parameters. Results demonstrated that both septic systems and a horse stable were contributing microbial loads in the first tributary. In the second tributary, septic systems from the townhouses were contributing microbial loads while a plant nursery was contributing organic matter. This evidence was used to evaluate best management practices to mitigate the contamination.

Pesticide Contamination of Groundwater in Virginia: BMP Impact Assessment

1993 ◽  
Vol 28 (3-5) ◽  
pp. 379-387 ◽  
Author(s):  
S. Mostaghimi ◽  
P. W. McClellan ◽  
R. A. Cooke
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Best Management Practices ◽  
Water Samples ◽  
Management Practices ◽  
Water Quality Monitoring ◽  
Pesticide Contamination ◽  
Cropping Patterns ◽  
Creek Watershed ◽  
Surface And Groundwater

The Nomini Creek Watershed/Water Quality monitoring project was initiated in 1985, as part of the Chesapeake Bay Agreement of 1983, to quantify the impacts of agricultural best management practices (BMPs) on improving water quality. The watershed monitoring system was designed to provide a comprehensive assessment of the quality of surface and groundwater as influenced by changes in land use, agronomic, and cultural practices in the watershed over the duration of the project. The primary chemical characteristics monitored include both soluble and sediment-bound nutrients and pesticides in surface and groundwater. Water samples from 8 monitoring wells located in agricultural areas in the watershed were analyzed for 22 pesticides. A total of 20 pesticides have been detected in water samples collected. Atrazine is the most frequently detected pesticide. Detected concentrations of atrazine ranged from 0.03 - 25.56 ppb and occurred in about 26 percent of the samples. Other pesticides were detected at frequencies ranging from 1.6 to 14.2 percent of all samples collected and concentrations between 0.01 and 41.89 ppb. The observed concentrations and spatial distributions of pesticide contamination of groundwater are compared to land use and cropping patterns. Results indicate that BMPs are quite effective in reducing pesticide concentrations in groundwater.

An ecosystem-based approach to support water quality assessment and management under climate and land-use condition

2020 ◽  
Author(s):  
Andrea Critto ◽  
Hung Vuong Pham ◽  
Anna Sperotto ◽  
Silvia Torresan ◽  
Elisa Furlan ◽  
...  
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Best Management Practices ◽  
Water Demand ◽  
Management Practices ◽  
Freshwater Ecosystems ◽  
Water Yield ◽  
Management Scenarios ◽  
Nitrogen And Phosphorus ◽  
Change Models

<p>Freshwater ecosystems can be negatively affected by climate change and human interventions through the alteration of water supply and demand. There is an urgent need to protect the ecosystems, and the services they provide, to maintain their essential contribution to human wellbeing and economic prosperity, especially in a rapid and unpredictable global change context. In this work, we developed an integrated approach, coupling the outputs of ecosystem services (InVEST), climate (COSMO-CLM) and land use (LUISA) change models utilizing Bayesian Networks (BNs), to map freshwater-related Ecosystem Services (ESs), namely, water yield, nitrogen and phosphorus retention, and to assess their changes until 2050 under different management scenarios. First, InVEST was calibrated and validated with climate and land-use data to map and quantify ESs. Second, outputs of the ES model were integrated into the BN and the changes induced by different learning techniques and input settings were investigated. Finally, thousands of different scenarios were simulated testing multiple input variables configurations, thus allowing to describe the uncertainty of climate conditions, land-use change and water demand. Two types of inferences were conducted, namely, diagnostic and prognostic inference. The former permitted to find the best combination of the key drivers (i.e.  precipitation, land-use, and water demand) so that ESs are maximized while the latter concentrated on the quantification of ESs under different scenarios. This approach was applied and validated in the Taro River basin in Italy. The results show that the values of all the three types of ESs would decline in the medium-term period under most scenarios. Moreover, there would be a limit of space to improve those values, especially for nutrient retention services. The obtained results provide valuable support to identify and prioritize the best management practices for sustainable water use, balancing the tradeoffs among services. This analysis allows decision-makers to pick up one scenario with a specific configuration of land-use and water demand to optimize relevant ESs within their basin. Finally, these decisions are transformed into a “decision space” where the values of selected services are plotted in the space of ES to represent the gain/loss of each decision.</p>

scholarly journals Case study of extracting soil and land use maps to determine agricultural best management practices that can be applied to prevent erosion and fertile soil loss

2020 ◽  
Vol 61 (4) ◽  
pp. 313-327
Author(s):  
Akıner Ernur
Keyword(s):  
Land Use ◽  
Best Management Practices ◽  
Management Practices ◽  
Assessment Tool ◽  
Management Practice ◽  
Global Climate ◽  
Residential Areas ◽  
Filter Strips ◽  
Land Type ◽  
Agricultural Areas

The Büyük Melen river in the Melen Basin meets Istanbul's drinking water needs. Protecting the basin against nutrient pollution is vital in this regard as well. This study focuses on the best possible management practice (BMPs) in the Melen Basin to reduce the export of nutrients from the agricultural areas. A region comprising industrial, farming, and residential zones is the Melen basin. There is a forecast of global climate change in Turkey, and scientists and also governors must know which areas are no longer farming zones and which will be more appropriate for agriculture. Turkey's territory is a high-risk desertification area. In Melen Basin, the soil type and land use properties have been determined and mapped using GIS and Soil and Water Assessment Tool (SWAT). Buffer BMP filter strips can be used effectively for nutrient protection that can be carried from residential areas and motorways by runoff. The region in the basin is steep, and its clay and sandy soil structures are ideal for parallel terraces, grade stabilization, strip, and contour cultivation. Unless the ground can not retain or store water, the soil can undergo sudden floods, causing an erosion of the soil's productive surface layer. When we protect the land, this condition is reduced. The land type and land use mapping should be drawn up as soon as possible for the remaining Turkish basins by scientific methods. This research is intended to be an illustration for researches on other agricultural basins in Turkey and the world for this reason.

scholarly journals Gender, Educational Attainment, and Farm Outcomes in New Zealand

Land ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 18 ◽  
Author(s):  
Philip Brown
Keyword(s):  
Land Use ◽  
New Zealand ◽  
Best Management Practices ◽  
Management Practices ◽  
Risk Tolerance ◽  
Decision Makers ◽  
Survey Respondent ◽  
Novel Technologies ◽  
Best Management ◽  
And Gender

Empirical studies of farm outcomes that rely on survey data often find important roles for education and gender. However, relatively few studies consider either field of study or gender of the decision maker (as opposed to gender of the survey respondent). This paper evaluates how the field of education and gender of decision makers correlate with profitability, farm management, future intentions, risk and norms, and adoption of novel technologies in New Zealand, explicitly accounting for the fact that many farming households make decisions jointly. Findings show that post-secondary education in a relevant field is a strong predictor of farm outcomes such as adoption of best management practices, plans to convert or intensify land use, risk tolerance, and adoption of novel technologies. Male sole decision makers (vis-à-vis joint decision makers) are more likely to have adopted best management practices and to have greater risk tolerance while female sole decision makers have adopted fewer novel technologies. These results have important implications for policy makers and extension officers who wish to encourage the uptake of best management practices and who wish to better understand future land-use change.

Legacy of Intensive Agricultural History in the Health of (Sub)Tropical Landscapes

2021 ◽  
Author(s):  
Susan Crow ◽  
Hannah Hubanks ◽  
Jonathan Deenik ◽  
Tai Maaz ◽  
Christine Tallamy Glazer ◽  
...  
Keyword(s):  
Land Use ◽  
Best Management Practices ◽  
Management Practices ◽  
Soil Health ◽  
Distinct Group ◽  
Land Use History ◽  
Native Forest ◽  
Land Uses ◽  
Protected Forests ◽  
Intensive Land Use

Abstract Soil health conceptualized as a measurable ecosystem property provides a powerful tool for monitoring progress in restoration projects or implementation of best management practices to promote sustainable agroecosystems. We surveyed soils collected from a range of land uses (i.e., protected native and non-native forest, managed pasture, unmanaged previously intensive agricultural lands, organic cropland, and conventional cropland) across a range of soil orders (Oxisol, Mollisol, Andisol, Inceptisol, and Vertisol) on three Hawaiian Islands. Forty-six metrics associated with soil health and encompassing biological, chemical, and physical properties were measured. In this multivariate survey, the most distinct group was the unmanaged, previously intensive agriculture lands, which was significantly different from all other land uses regardless of mineralogy. Importantly, the soil health of well-managed pastures in Hawaiʻi was not different from protected forests, suggesting that well-managed grazing lands may be as healthy and resilient as protected forests. A suite of 11 readily measured parameters emerged out of a first-principle approach to determining a holistic indication of soil health across a range of soils and systems in Hawaiʻi encompassing much of the diversity in the tropics and subtropics. Every land use may improve its soil health status within a reasonable range of expectations for a soil’s land use history, current land use, and mineralogy. Key drivers of the measures for soil health, including intensive land use history, current land use practices, and mineralogy, must be interwoven into the soil health index, which should set minimum and maximum benchmarks and weight parameters according to equitable standards.

An accreditation program to produce native plant nursery stock free of Phytophthora for use in habitat restoration

2021 ◽  
Author(s):  
Tedmund J. Swiecki ◽  
Elizabeth A. Bernhardt ◽  
Susan J. Frankel ◽  
Diana Benner ◽  
Janell Hillman
Keyword(s):  
Best Management Practices ◽  
Habitat Restoration ◽  
Management Practices ◽  
Pilot Program ◽  
Native Plant ◽  
Best Management ◽  
Nursery Stock ◽  
Plant Nursery ◽  
Nursery Production ◽  
Integrated Program

Widespread Phytophthora infections have been discovered in nursery stock used in California restoration plantings. In response, nursery Phytophthora best management practices (NPBMPs) designed to exclude Phytophthora from nursery plants were developed to address the need for clean planting stock in restoration projects. A pilot program to implement the systematic use of the NPBMPs, Accreditation to Improve Restoration (AIR), was developed and started in 2018. As of 2020, 13 northern California restoration nurseries have been evaluated and five have met all the program requirements. In 564 tests conducted over four years with a sensitive leachate baiting protocol, no Phytophthora was detected from over 20,000 nursery plants produced in compliance with the NPBMPs. In comparison, Phytophthora was detected in 25% of tests conducted on partially-compliant stock, and in 71% of tests from nurseries following few or no NPBMPs. The AIR pilot program has demonstrated that container stock free of detectable Phytophthora can be reliably produced by adhering to an integrated program of clean nursery production practices. To obtain Phytophthora-free plants for habitat restoration, informed clients were willing to pay increased costs required to produce NPBMP-compliant nursery stock.

scholarly journals Trends in water quality of five dairy farming streams in response to adoption of best practice and benefits of long-term monitoring at the catchment scale

2013 ◽  
Vol 64 (5) ◽  
pp. 401 ◽  
Author(s):  
Robert J. Wilcock ◽  
Ross M. Monaghan ◽  
John M. Quinn ◽  
M. S. Srinivasan ◽  
David J. Houlbrooke ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Best Management Practices ◽  
Management Practices ◽  
Stream Water ◽  
Dairy Farming ◽  
E Coli ◽  
Long Term Monitoring ◽  
Term Monitoring

Five streams in catchments with pastoral dairy farming as the dominant land use were monitored for periods of 7–16 years to detect changes in response to adoption of best management practices (BMPs). Stream water quality was degraded at the start with respect to N, P, suspended solids (SS) and E. coli concentrations, and was typical of catchments with intensive pastoral agriculture land use. Trend analysis showed a decrease in SS concentration for all streams, generally increasing water clarity, and lower E. coli concentrations in three of the streams. These are attributed to improved stream fencing (cattle exclusion) and greater use of irrigation for treated effluent disposal with less reliance on pond systems discharging to streams. Linkages between water quality and farm actions based on survey data were used to develop BMPs that were discussed at stakeholder workshops. Generic and specific BMPs were developed for the five catchments. The 3–7 year periodicity of major climate cycles, as well as market forces and a slow rate of farmer adoption of simple BMPs mean that monitoring programs in New Zealand need to be much longer than 10 years to detect changes caused by farmer actions. Long-term monitoring is also needed to detect responses to newly legislated requirements for improved water quality.

Sources of Pollutants in Wisconsin Stormwater

1993 ◽  
Vol 28 (3-5) ◽  
pp. 241-259 ◽  
Author(s):  
R. T. Bannerman ◽  
D. W. Owens ◽  
R. B. Dodds ◽  
N. J. Hornewer
Keyword(s):  
Land Use ◽  
Best Management Practices ◽  
Management Practices ◽  
Land Uses ◽  
Critical Source Areas ◽  
Industrial Land ◽  
Parking Lots ◽  
Source Areas ◽  
Best Management ◽  
Contaminant Loads

Rainfall runoff samples were collected from streets, parking lots, roofs, driveways, and lawns. These five source areas are located in residential, commercial, and industrial land uses in Madison, Wisconsin. Solids, phosphorus, and heavy metals loads were determined for all the source areas using measured concentrations and runoff volumes estimated by the Source Load and Management Model. Source areas with relatively large contaminant loads were identified as critical source areas for each land use. Streets are critical source areas for most contaminants in all the land uses. Parking lots are critical in the commercial and industrial land uses. Lawns and driveways contribute large phosphorus loads in the residential land use. Roofs produce significant zinc loads in the commercial and industrial land uses. Identification of critical source areas could reduce the amount of area needing best-management practices in two areas of Madison, Wisconsin. Targeting best-management practices to 14% of the residential area and 40% of the industrial area could significantly reduce contaminant loads by up to 75%.

scholarly journals Developing a decision support tool for assessing land use change and BMPs in ungauged watersheds based on decision rules provided by SWAT simulation

2018 ◽  
Vol 22 (7) ◽  
pp. 3789-3806 ◽  
Author(s):  
Junyu Qi ◽  
Sheng Li ◽  
Charles P.-A. Bourque ◽  
Zisheng Xing ◽  
Fan-Rui Meng
Keyword(s):  
Land Use ◽  
Decision Support ◽  
Land Use Change ◽  
Best Management Practices ◽  
Management Practices ◽  
Hydrological Modeling ◽  
Decision Support Tool ◽  
Decision Makers ◽  
Support Tool ◽  
Ungauged Watersheds

Abstract. Decision making on water resources management at ungauged, especially large-scale watersheds relies on hydrological modeling. Physically based distributed hydrological models require complicated setup, calibration, and validation processes, which may delay their acceptance among decision makers. This study presents an approach to develop a simple decision support tool (DST) for decision makers and economists to evaluate multiyear impacts of land use change and best management practices (BMPs) on water quantity and quality for ungauged watersheds. The example DST developed in the present study was based on statistical equations derived from Soil and Water Assessment Tool (SWAT) simulations and applied to a small experimental watershed in northwest New Brunswick. The DST was subsequently tested against field measurements and SWAT simulations for a larger watershed. Results from DST could reproduce both field data and model simulations of annual stream discharge and sediment and nutrient loadings. The relative error of mean annual discharge and sediment, nitrate–nitrogen, and soluble-phosphorus loadings were −6, −52, 27, and −16 %, respectively, for long-term simulation. Compared with SWAT, DST has fewer input requirements and can be applied to multiple watersheds without additional calibration. Also, scenario analyses with DST can be directly conducted for different combinations of land use and BMPs without complex model setup procedures. The approach in developing DST can be applied to other regions of the world because of its flexible structure.

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