History of Fish Presence and Absence Following Lake Acidification and Recovery in Lake Minnewaska, Shawangunk Ridge, NY

Charifson, David; Huth, Paul C.; Thompson, John E.; Angyal, R.; Flaherty, Michael J.; Richardson, David C.

doi:10.1656/045.022.0411

Cited by 5 publications

(6 citation statements)

References 41 publications

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“…273). For example, Gallaher et al (2015) undertook an extensive project to recover, reconstruct, and reprocess data from early satellite missions into modern formats that are usable by modern scientists. This project involved dealing with degrading and fragile magnetic tapes, extracting data from the tapes' unusual format, and recreating documentation for the data.…”

Section: Research On Data Risksmentioning

confidence: 99%

Risk Assessment for Scientific Data

Mayernik¹,

Breseman²,

Downs³

et al. 2020

Data Science Journal

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Ongoing stewardship is required to keep data collections and archives in existence. Scientific data collections may face a range of risk factors that could hinder, constrain, or limit current or future data use. Identifying such risk factors to data use is a key step in preventing or minimizing data loss. This paper presents an analysis of data risk factors that scientific data collections may face, and a data risk assessment matrix to support data risk assessments to help ameliorate those risks. The goals of this work are to inform and enable effective data risk assessment by: a) individuals and organizations who manage data collections, and b) individuals and organizations who want to help to reduce the risks associated with data preservation and stewardship. The data risk assessment framework presented in this paper provides a platform from which risk assessments can begin, and a reference point for discussions of data stewardship resource allocations and priorities.

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Section: Research On Data Risksmentioning

confidence: 99%

Risk Assessment for Scientific Data

Mayernik¹,

Breseman²,

Downs³

et al. 2020

Data Science Journal

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“…According to the Water Research Commission, 28 to 54% of lakes globally are facing eutrophication problems such as enriched dissolved nutrients, phytoplankton overgrowth, decline in dissolved oxygen, and fish-mortality [3]. Eutrophication, as a result of industrial, agricultural, and other activities, is considered to be the most notable negative impact on water bodies [4,5]. These anthropogenic impacts can cause water bodies with low nutrient levels to transition to a eutrophic state resulting in dramatically reduced ecosystem services [4].…”

Section: Introductionmentioning

confidence: 99%

“…Eutrophication, as a result of industrial, agricultural, and other activities, is considered to be the most notable negative impact on water bodies [4,5]. These anthropogenic impacts can cause water bodies with low nutrient levels to transition to a eutrophic state resulting in dramatically reduced ecosystem services [4]. The effects of climate change on freshwater flow and rates of nutrient cycling are resulting in increased eutrophication due to the increase in temperature and change in precipitation patterns.…”

Section: Introductionmentioning

confidence: 99%

Seasonal Variation and Vertical Distribution of Inorganic Nutrients in a Small Artificial Lake, Lake Bulan, in Mongolia

Ariunsanaa

Nagao

Zorigt

et al. 2022

Water

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This is the first seasonal observation study on nutrient dynamics undertaken in a small freshwater lake with eutrophication in Mongolia. The vertical profile and seasonal fluctuation of nutrients are crucial to understanding the biogeochemical cycles in aquatic systems. In this study, field research was carried out at a small and shallow lake, Lake Bulan, in the lower Kharaa River basin. The area has been receiving increased nutrient loads from the water catchment area for the last 20 years. Water samples were collected seasonally from the lake from 2019–2022 and analyzed for nutrients, major cations, trace metals, and dissolved organic carbon. The average concentration of dissolved inorganic nitrogen (DIN) in the surface lake water had a wide seasonal variation from 0.26 ± 0.11 mg N/L in August to 1.44 ± 0.08 mg N/L in January. Seasonal differences were also observed in the vertical profiles. Concentrations were relatively similar at the various water depths in April and September at turnover time. Thermal stratification was observed when the lake was covered in ice, with the maximum concentrations being observed in the bottom layer in the months of January and August. The phosphate concentration showed a similar variation trend. These results indicate that both the summer and winter stratifications are important for regeneration of nutrients in the bottom layer, biochemical cycling, and mitigating impacts of global warming on small and shallow lakes in Mongolia.

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“…1) and have been crucial to an increasing number of scientific publications (e.g. Cook et al 2009, Cook et al 2008, Charifson et al 2015, Richardson et al 2016).…”

Section: Introductionmentioning

confidence: 99%

“…The majority of the historical data points were extracted from the notecards (Fig. 3) These cards were scanned, transcribed and formatted for data archiving by volunteer citizen scientists at the DSRC facilities, demonstrating the significant impact of citizen science contributions in natural history data rescue efforts and mitigating data risk factors (Griffin 2017, Brunet and Jones 2011, Mayernik et al 2020. Due to the size and scope of the DSRC's historical holdings, the digitisation process remains ongoing and, as historical occurrences become available, they will be added to the described dataset periodically.…”

Section: Introductionmentioning

confidence: 99%

Vernal pool amphibian breeding ecology monitoring from 1931 to present: A harmonised historical and ongoing observational ecology dataset

Garretson

Napoli²,

Feldsine³

et al. 2020

BDJ

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For 88 years (1931-present), the Mohonk Preserve's Daniel Smiley Research Center has been collecting data on occupancy and reproductive success of amphibian species, as well as associated water quality of 11 vernal pools each spring (February to May). Though sampling effort has varied over the dataset range, the size of the dataset is unprecedented within the field of amphibian ecology. With more than 2,480 individual species sampling dates and more than 151,701 recorded individual occurrences of the nine amphibian species, the described dataset represents the longest and largest time-series of herpetological sampling with paired water quality data. We describe the novel publication of a paired dataset of amphibian occurrence with environmental indicators spanning nearly 90 years of data collection. As of February 2020, the dataset includes 2,480 sampling dates across eleven vernal pools and 151,701 unique occurrences of egg masses or individuals recorded across nine species of amphibian. The dataset also includes environmental conditions associated with the species occurrences with complete coverage for air temperature and precipitation records and partial coverage for a variety of other weather and water quality measures. Data collection has included species, egg mass and tadpole counts; weather conditions including precipitation, sky and wind codes; water quality measurements including water temperature and pH; and vernal pool assessment including depth and surface vegetation coverage. Collection of data was sporadic from 1931–1991, but data have been collected consistently from 1991 to present. We also began monitoring dissolved oxygen, nitrate concentrations and conductivity of the vernal pools using a YSI Sonde Professional Plus Instrument and turbidity using a turbidity tube in February 2018. The dataset (and periodic updates), as well as metadata in the EML format, are available in the Environmental Data Initiative Repository under package edi.398.

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History of Fish Presence and Absence Following Lake Acidification and Recovery in Lake Minnewaska, Shawangunk Ridge, NY

Cited by 5 publications

References 41 publications

Risk Assessment for Scientific Data

Risk Assessment for Scientific Data

Seasonal Variation and Vertical Distribution of Inorganic Nutrients in a Small Artificial Lake, Lake Bulan, in Mongolia

Vernal pool amphibian breeding ecology monitoring from 1931 to present: A harmonised historical and ongoing observational ecology dataset

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