Direct and indirect effects of climate change on herbicide leaching — A regional scale assessment in Sweden

Steffens, Karin; Jarvis, Nicholas; Lewan, Elisabet; Lindström, Bodil; Kreuger, Jenny; Kjellström, Erik; Moeys, Julien

doi:10.1016/j.scitotenv.2014.12.049

Cited by 40 publications

(12 citation statements)

References 44 publications

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“…For example, Iversen et al (2011) mapped the vulnerability to macropore flow in Denmark using pedotransfer functions for near‐saturated hydraulic conductivity developed from soil survey data, coupled with simulation modeling to account for the effects of climate. Steffens et al (2015) used a simulation tool based on a macropore flow model parameterized by pedotransfer functions to assess the likely effects of direct and indirect effects of climate change on herbicide leaching risks to groundwater at the regional scale. McGrath et al (2009) developed a simpler preferential flow index that could be used at large spatial scales to predict site vulnerability to pesticide leaching depending on soil properties and rainfall characteristics.…”

Section: Experimentation From Pore To Catchment Scalesmentioning

confidence: 99%

Understanding Preferential Flow in the Vadose Zone: Recent Advances and Future Prospects

Jarvis

Koestel

Larsbo

2016

Vadose Zone Journal

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195

188

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Core Ideas Understanding of preferential flow is improving, stimulated partly by new technologies. Empirical process understanding has outstripped the capability of models to predict. Better models must await future advances in computational power. In this update, we review some of the more significant advances that have been made in the last decade in the study of preferential flow through the vadose zone as well as suggest some research needs in the coming years. We focus mostly on work that aims to improve understanding of the processes themselves and less on more applied aspects concerning the various consequences of preferential flow (e.g., for surface water and groundwater quality). In recent years, the research emphasis has shifted somewhat toward the two extremes of the scale continuum, the pore scale and the scale of management (field, catchments, and landscapes). This trend has been facilitated by significant advances in both measurement technologies (e.g., noninvasive imaging techniques and high frequency–high spatial resolution monitoring of soil moisture at field and catchment scales) and application of novel methods of analysis to large datasets (e.g., machine learning). This work has led to a better understanding of how pore network properties control preferential flow at the pore to core scales as well as some new insights into the influence of site attributes (climate, land uses, soil types) at field to landscape scales. We conclude that models do not at present fully reflect the current state of process understanding and empirical knowledge of preferential flow. However, we expect that significant advances in computational techniques, computer hardware, and measurement technologies will lead to increasingly reliable model predictions of the impacts of preferential flow, even at the larger scales relevant for management.

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Section: Experimentation From Pore To Catchment Scalesmentioning

confidence: 99%

Understanding Preferential Flow in the Vadose Zone: Recent Advances and Future Prospects

Jarvis

Koestel

Larsbo

2016

Vadose Zone Journal

Self Cite

195

188

View full text Add to dashboard Cite

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“…flood events (Rockström et al, 2009). Also a range of other climate variables, such as rainfall, snowfall, length of growth season, and wind patterns may play an important but little un derstood role in distribution and re distribution of micropollutants (Ferrario et al, 2017;Pavlova et al, 2014;Steffens et al, 2015). For ex ample, temperature dependent partitioning between air and atmo spheric particles, snow surface, or water droplets determine dry and wet deposition rates that may lead to a fractionation and preferential deposition of different compounds at different altitudes (Blais et al, 2006;Blais et al, 1998;Le Roux et al, 2008;Lei and Wania, 2004;Wania and Mackay, 1993;Weathers et al, 2000;Zhang et al, 2013).…”

Section: Pollution Through Chemical Micropollutantsmentioning

confidence: 99%

People, pollution and pathogens – Global change impacts in mountain freshwater ecosystems

Schmeller

Loyau

Bao

et al. 2018

Science of The Total Environment

112

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Mountain catchments provide for the livelihood of more than half of humankind, and have become a key destination for tourist and recreation activities globally. Mountain ecosystems are generally considered to be less complex and less species diverse due to the harsh environmental conditions. As such, they are also more sensitive to the various impacts of the Anthropocene. For this reason, mountain regions may serve as sentinels of change and provide ideal ecosystems for studying climate and global change impacts on biodiversity. We here review different facets of anthropogenic impacts on mountain freshwater ecosystems. We put particular focus on micropollutants and their distribution and redistribution due to hydrological extremes, their direct influence on water quality and their indirect influence on ecosystem health via changes of freshwater species and their interactions. We show that those changes may drive pathogen establishment in new environments with harmful consequences for freshwater species, but also for the human population. Based on the reviewed literature, we recommend reconstructing the recent past of anthropogenic impact through sediment analyses, to focus efforts on small, but highly productive waterbodies, and to collect data on the occurrence and variability of microorganisms, biofilms, plankton species and key species, such as amphibians due to their bioindicator value for ecosystem health and water quality. The newly gained knowledge can then be used to develop a comprehensive framework of indicators to robustly inform policy and decision making on current and future risks for ecosystem health and human well-being.

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“…Time series of local runoff are derived from the records of gauging stations measuring rivers with a Strahler stream order (Strahler, 1957) less than 5 (804 out of 931 or 86 % of the available gauging stations). Using gauging stations at larger rivers would not accurately reproduce the high temporal variations of the local runoff.…”

Section: Discharge Precipitation and Temperaturementioning

confidence: 99%

Response to Review 1-3

Stamm¹

2018

Preprint

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Direct and indirect effects of climate change on herbicide leaching — A regional scale assessment in Sweden

Cited by 40 publications

References 44 publications

Understanding Preferential Flow in the Vadose Zone: Recent Advances and Future Prospects

Understanding Preferential Flow in the Vadose Zone: Recent Advances and Future Prospects

People, pollution and pathogens – Global change impacts in mountain freshwater ecosystems

Response to Review 1-3

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