Relative contributions of stream concentration, stream discharge and shoreline load to base cation trends in Red Chalk and Harp lakes, south-central Ontario, Canada

Yao, Huaxia; James, April L.; McConnell, Christopher; Turnbull, Brian; Field, Timothy R.; Somers, Keith M.

doi:10.1002/hyp.10627

Cited by 17 publications

(12 citation statements)

References 42 publications

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“…The data included daily discharge and weekly DOC concentrations from June 1978 to December 2018, as monitored by the Inland Waters Unit, Environmental Monitoring and Reporting Branch, Ontario Ministry of Environment, Conservation and Parks. All the data used has undergone strict quality control and have been used in previous studies (Imtiazy et al, 2020; Morison et al, 2022; Wu et al, 2022; Yao et al, 2016; Yao, Libera, et al, 2020). Detailed information for the used data was provided in James et al (2022).…”

Section: Methodsmentioning

confidence: 99%

“…Seasons were delineated according to their astronomical definitions, that is, winter was December-February, spring was March-May, summer was June-August, autumn was September-November (Eimers et al, 2008). ous studies (Imtiazy et al, 2020;Morison et al, 2022;Wu et al, 2022;Yao et al, 2016;Yao, Libera, et al, 2020). Detailed information for the used data was provided in James et al (2022).…”

Section: Study Sites and Datamentioning

confidence: 99%

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Dissolved organic carbon load variability in the rainfall season dominated its interannual variability in the snowmelt driven basin: Evidence from 41 years data of headwater streams

Yao

Wang

et al. 2023

Ecohydrology

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Numerous reports have observed variations of dissolved organic carbon (DOC) under the changing environment. From the DOC load variability perspective, however, how much of the variability in DOC load occurred among different seasons, and which season was most synchronized with the interannual variability remains unknown. The weekly DOC concentration and daily discharge records from four headwater streams with long-term records in the snowmelt driven basin of Harp Lake, south-central Ontario, Canada, were used to answer these issues. We also examined the contributions of variabilities in discharge and DOC concentration to the variability in DOC load. We found that the variability of DOC load in the rainfall season (autumn) instead of snowmelt season (spring) was most closely synchronized with its interannual variability, suggesting that if the DOC variability in the rainfall season stabilized, the interannual variability would be more stable. The interannual variabilities for discharge, DOC concentration and DOC load showed an insignificant decreasing trend in the monitored 41 years, and the respective contributions of the variability trend of discharge and DOC concentration to DOC load in rainfall season increased from 28.82% to 144.58% and decreased from 71.18% to À44.58% because the change trend of discharge variability was greater than that in DOC concentration.This study provides a case information in determining which factors contribute most to the variability of DOC load in the watershed, and which season may dominate its variability throughout the year.

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Section: Methodsmentioning

confidence: 99%

Section: Study Sites and Datamentioning

confidence: 99%

Dissolved organic carbon load variability in the rainfall season dominated its interannual variability in the snowmelt driven basin: Evidence from 41 years data of headwater streams

Yao

Wang

et al. 2023

Ecohydrology

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“…Increases in dissolved salts, salt ions, and conductivity have been linked to the increasing application of road salts, road density, road proximity/distance, runoff systems, and % impervious surface in the surrounding area (Rosenberry et al 1999;Novotny et al 2008;Kohli et al 2017;Bunbury et al 2020). Identifying the linkage between increasing conductivity and dissolved salt concentrations in lentic environments with road salt application in the surrounding area has been facilitated by long-term monitoring of water quality (Molot and Dillon 2008;Yao et al 2016;Scott et al 2019;Nava et al 2020) and analysis of sediment cores (Siver et al 1999; Environ. Rev.…”

Section: Effects Of Road Salt In Lentic Environments On Water and Sed...mentioning

confidence: 99%

The effects of roadways on lakes and ponds: a systematic review and assessment of knowledge gaps

et al. 2022

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As the global population increases, the expansion of road networks has led to the destruction and disturbance of terrestrial and aquatic habitats. Road-related stressors have significant effects on both lotic and lentic habitats. While there are several systematic reviews that evaluate the effects of roads on lotic environments, there are none that consider their effects on lentic habitats only. We conducted a literature review to achieve two objectives: 1) to summarize the effects of roads on the physical, chemical, and biological properties of lentic environments; and 2) to identify biases and gaps in our current knowledge of the effects of roads on lentic habitats so that we could find promising areas for future research. Our review found 172 papers published between 1970-2020. The most frequently studied stressors associated with roads included road salt and heavy metal contamination (67 and 43 papers respectively), habitat fragmentation, (37 papers) and landscape change (14 papers). These stressors can lead to alterations in conductivity and chloride levels, changes in lake stratification patterns, increases in heavy metal concentrations in water and organisms, and significant mortality as amphibians disperse across roadways. We also identified a variety of other stressors that may be understudied based on their frequency of appearance in our search results, including polycyclic aromatic hydrocarbons, road dust, increased accessibility, hydrological changes, noise pollution, dust suppressants, sedimentation, invasive species introductions, and water withdrawal. Our review indicated that there are strong geographic biases in published studies, with 57.0% examining North American sites and 30.2% examining European sites. Furthermore, there were taxonomic biases in the published literature, with most studies focusing on amphibians (41.7%), fish (15.6%), and macroinvertebrates (14.6%), while few considered zooplankton (8.3%), diatoms (7.3%), amoebas (5.2%), water birds (3.1%), reptiles (2.1%) and macrophytes (1.0%). Based on our review, we have identified promising areas for future research for each of the major stressors related to roadways. However, we speculate that rectifying the geographic and taxonomic bias of our current knowledge could significantly advance our understanding of the impacts of roads on lentic environments, thereby better informing environmental management of these important habitats.

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“…To assess relative contributions of individual drivers to a given response variable, the Partial Mann-Kendall trend test is utilized [23,24]. The long-term trend in observed data of ice-off date (response variable) is detected first by a regular Mann-Kendall test, giving a Mann-Kendall statistic Z which indicates the direction and strength of the trend.…”

Section: Relative Contributionsmentioning

confidence: 99%

“…Contributing drivers to ice-off date (judged or identified by the Pearson correlation coefficient R and the M-K trend as mentioned above) have their individual influence on the dynamics of iceoff. By treating each driver as a covariate and running a Partial M-K test for the same ice-off data, a new value of M-K statistic, Zi ( i is the i-th driver), is obtained with the influence of this driver on the ice-off trend being "removed" statistically [23]. In another word, the difference (Zi -Z) indicates how large the influence would be: a big difference means a big influence, otherwise a small influence.…”

Section: Relative Contributionsmentioning

confidence: 99%

Explaining the Non-significant Changes in Ice-off Date over Six Decades at Lake of Bays and Lake Nipissing, South-Central Ontario

Yao

2019

IJECC

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The phenomenon of non-significant trends in ice-off date under a warming climate was quantitatively explained by three efforts: exploring possible driving factors where possible and defining new factors to represent snow conditions, identifying the contributing factors through correlation and trend tests, and evaluating relative contributions through partial Mann-Kendall method. Why the ice-off became only slightly earlier over 62 years at Lake of Bays has been satisfactorily assessed: the increased winter temperature, increased total rain and decreased days of snow on ground acted as three promoting drivers to earlier ice-off date, but their promoting functions were effectively offset by adverse changes in four other factors (snowfall slope, precipitation slope, snowpack slope, and last day of snow). The ice-off date at Lake Nipissing did not have a significant trend over 58 years, although there were five factors contributing to the ice-off decline without sufficient offsetting, suggesting that the ice-off of this lake may not be sensitive, or basically elastic, to the climatic variation stressor. Relative contributions of drivers as calculated helped explain how much they contributed to ice-off trends or how much they offset the influences.

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Relative contributions of stream concentration, stream discharge and shoreline load to base cation trends in Red Chalk and Harp lakes, south-central Ontario, Canada

Cited by 17 publications

References 42 publications

Dissolved organic carbon load variability in the rainfall season dominated its interannual variability in the snowmelt driven basin: Evidence from 41 years data of headwater streams

Dissolved organic carbon load variability in the rainfall season dominated its interannual variability in the snowmelt driven basin: Evidence from 41 years data of headwater streams

The effects of roadways on lakes and ponds: a systematic review and assessment of knowledge gaps

Explaining the Non-significant Changes in Ice-off Date over Six Decades at Lake of Bays and Lake Nipissing, South-Central Ontario

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