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1. Determining minimum sample size for the conditioned Latin hypercube sampling algorithm

Author:
Aaron A. BERG,   et al.   ; Daniel D. SAURETTE; Asim BISWAS; Richard J. HECK; Adam W. GILLESPIE;     Show all 5 Authors
Source:
Pedosphere 2022 pp. -
ISSN:
1002-0160
Subject:
algorithms; confidence interval; sample size; soil; Ontario
Abstract:
... In digital soil mapping (DSM), a fundamental assumption is that the spatial variability of the target variable can be explained by the predictors or environmental covariates. Strategies to adequately sample the predictors have been well documented, with the conditioned Latin Hypercube Sampling (cHLS) algorithm receiving the most attention in the DSM community. Despite advances in sampling design, ...
DOI:
10.1016/j.pedsph.2022.09.001

2. Effects of sample size and covariate resolution on field-scale predictive digital mapping of soil carbon

Author:
Aaron A. Berg,   et al.   ; Daniel D. Saurette; Ahmed Laamrani; Richard J. Heck; Adam W. Gillespie; Paul Voroney; Asim Biswas;     Show all 7 Authors
Source:
Geoderma 2022 v.425 pp. 116054
ISSN:
0016-7061
Subject:
agricultural land; algorithms; carbon; kriging; model validation; models; prediction; sample size; soil carbon; soil properties; Ontario
Abstract:
... Soil carbon is a key soil property that regulates numerous soil processes and affects soil chemical, physical and biological properties. Given its importance, prediction of soil carbon using digital soil mapping (DSM) techniques has seen increased interest at scales ranging from global to local. The accuracy of predictive models is reliant on sample size, covariate resolution, and the algorithms b ...
DOI:
10.1016/j.geoderma.2022.116054

3. Implications of measurement metrics on soil freezing curves: A simulation of freeze–thaw hysteresis

Author:
Aaron A. Berg,   et al.   ; Renato Pardo Lara; Jon Warland; Gary Parkin;     Show all 4 Authors
Source:
Hydrological processes 2021 v.35 no.7 pp. e14269
ISSN:
0885-6087
Subject:
climate change; freeze-thaw cycles; frozen soils; geometry; hydrology; hysteresis; land productivity; models; risk; soil temperature; volumetric water content; water content
Abstract:
... Soil freeze–thaw events have important implications for water resources, flood risk, land productivity, and climate change. A property of these phenomena is the relationship between unfrozen water content and sub‐freezing temperature, known as the soil freezing characteristic curve (SFC). It is documented that this relationship exhibits hysteretic behaviour when frozen soil thaws, leading to the d ...
DOI:
10.1002/hyp.14269

4. In Situ Estimates of Freezing/Melting Point Depression in Agricultural Soils Using Permittivity and Temperature Measurements

Author:
A. A. Berg,   et al.   ; R. Pardo Lara; J. Warland; Erica Tetlock;     Show all 4 Authors
Source:
Water resources research 2020 v.56 no.5 pp. e2019WR026020
ISSN:
0043-1397
Subject:
climate change; cold; energy; freeze-thaw cycles; growth models; instrumentation; research; soil water; temperature; time series analysis; Saskatchewan
Abstract:
... We present a method to characterize soil moisture freeze‐thaw events and freezing/melting point depression using permittivity and temperature measurements, readily available from in situ sources. In cold regions soil freeze‐thaw processes play a critical role in the surface energy and water balance, with implications ranging from agricultural yields to natural disasters. Although monitoring of the ...
DOI:
10.1029/2019WR026020

5. Satellite-Observed Soil Moisture as an Indicator of Wildfire Risk

Author:
Aaron A. Berg,   et al.   ; Jaison Thomas Ambadan; Matilda Oja; Ze’ev Gedalof;     Show all 4 Authors
Source:
Remote Sensing 2020 v.12 no.10 pp. -
ISSN:
2072-4292
Subject:
Soil Moisture and Ocean Salinity satellite; climate; databases; drying; ecological zones; remote sensing; risk; soil water; time series analysis; wildfires; wildland fire management; Canada
Abstract:
... Wildfires are a concerning issue in Canada due to their immediate impact on people’s lives, local economy, climate, and environment. Studies have shown that the number of wildfires and affected areas in Canada has increased during recent decades and is a result of a warming and drying climate. Therefore, identifying potential wildfire risk areas is increasingly an important aspect of wildfire mana ...
DOI:
10.3390/rs12101543

6. The amino acid permease (AAP) genes CsAAP2A and SlAAP5A/B are required for oomycete susceptibility in cucumber and tomato

Author:
Jeroen A. Berg,   et al.   ; Freddy W. K. Hermans; Frank Beenders; Hanieh Abedinpour; Wim H. Vriezen; Richard G. F. Visser; Yuling Bai; Henk J. Schouten;     Show all 8 Authors
Source:
Molecular plant pathology 2021 v.22 no.6 pp. 658-672
ISSN:
1464-6722
Subject:
Phytophthora infestans; Pseudoperonospora cubensis; alleles; amino acid transporters; amino acids; cucumbers; downy mildew; genotype; mutants; mutation; pathogens; phenotype; plant pathology; quantitative traits; tomatoes; transcriptomics; transposons
Abstract:
... Cucurbit downy mildew (DM), caused by the obligate biotroph Pseudoperonospora cubensis, is a destructive disease in cucumber. A valuable source of DM resistance is the Indian cucumber accession PI 197088, which harbours several quantitative trait loci (QTLs) contributing to quantitatively inherited DM resistance. With a combination of fine‐mapping and transcriptomics, we identified Amino Acid Perm ...
DOI:
10.1111/mpp.13052

7. Evaluating the utility of remotely sensed soil moisture for the characterization of runoff response over Canadian watersheds

Author:
Aaron A. Berg,   et al.   ; Elené Wadsworth; Catherine Champagne;     Show all 3 Authors
Source:
Canadian water resources journal 2020 v.45 no.1 pp. 77-89
ISSN:
1918-1817
Subject:
Soil Moisture and Ocean Salinity satellite; cost effectiveness; databases; frozen soils; remote sensing; runoff; soil water; topography; watersheds; wetlands; Canada
Abstract:
... Remotely sensed soil moisture measurements from satellite platforms are increasingly reliable, cost-effective and widely available data sources where in situ measurements are unavailable. This research uses the Soil Moisture and Ocean Salinity mission (SMOS) satellite-derived soil moisture anomalies over a database of 65 watersheds across Canada from 2011 to 2014 to analyze the soil moisture-runof ...
DOI:
10.1080/07011784.2019.1691943

8. Comparing the Assimilation of SMOS Brightness Temperatures and Soil Moisture Products on Hydrological Simulation in the Canadian Land Surface Scheme

Author:
Aaron A. Berg,   et al.   ; Manoj K. Nambiar; Jaison Thomas Ambadan; Tracy Rowlandson; Paul Bartlett; Erica Tetlock;     Show all 6 Authors
Source:
Remote Sensing 2020 v.12 no.20 pp. -
ISSN:
2072-4292
Subject:
Earth system science; Soil Moisture and Ocean Salinity satellite; estimation; land; literature; methodology; models; prediction; remote sensing; rhizosphere; soil water; temperature; Saskatchewan
Abstract:
... Soil moisture is a key variable used to describe water and energy exchanges at the land surface/atmosphere interface. Therefore, there is widespread interest in the use of soil moisture retrievals from passive microwave satellites. In the assimilation of satellite soil moisture data into land surface models, two approaches are commonly used. In the first approach brightness temperature (TB) data a ...
DOI:
10.3390/rs12203405

9. An Analysis of Ground-Point Classifiers for Terrestrial LiDAR

Author:
Aaron A. Berg,   et al.   ; Kevin C. Roberts; John B. Lindsay;     Show all 3 Authors
Source:
Remote Sensing 2019 v.11 no.16 pp. -
ISSN:
2072-4292
Subject:
algorithms; data collection; landscapes; lidar; remote sensing; vegetation
Abstract:
... Previous literature has compared the performance of existing ground point classification (GPC) techniques on airborne LiDAR (ALS) data (LiDAR—light detection and ranging); however, their performance when applied to terrestrial LiDAR (TLS) data has not yet been addressed. This research tested the classification accuracy of five openly-available GPC algorithms on seven TLS datasets: Zhang et a ...
DOI:
10.3390/rs11161915

10. Cysteine Toxicity Drives Age-Related Mitochondrial Decline by Altering Iron Homeostasis

Author:
Jordan A. Berg,   et al.   ; Casey E. Hughes; Troy K. Coody; Mi-Young Jeong; Dennis R. Winge; Adam L. Hughes;     Show all 6 Authors
Source:
Cell 2020 v.180 no.2 pp. 296-310.e18
ISSN:
0092-8674
Subject:
cysteine; homeostasis; iron; lysosomes; mitochondria; toxicity; vacuoles; yeasts
Abstract:
... Mitochondria and lysosomes are functionally linked, and their interdependent decline is a hallmark of aging and disease. Despite the long-standing connection between these organelles, the function(s) of lysosomes required to sustain mitochondrial health remains unclear. Here, working in yeast, we show that the lysosome-like vacuole maintains mitochondrial respiration by spatially compartmentalizin ...
DOI:
10.1016/j.cell.2019.12.035
PubMed:
31978346
PubMed Central:
PMC7164368

11. Assessment of nitrification and urease inhibitors on nitrate leaching in corn (Zea mays L.)

Author:
Aaron A. Berg,   et al.   ; Amy A. Pawlick; Claudia Wagner-Riddle; Gary W. Parkin;     Show all 4 Authors
Source:
Canadian journal of soil science 2019 v.99 no.1 pp. 80-91
ISSN:
1918-1841
Subject:
Zea mays; agroecosystems; corn; drainage; eddy covariance; evapotranspiration; farmers; fertilizer application; groundwater; leaching; nitrate nitrogen; nitrification; nitrogen; nitrogen fertilizers; planting; rhizosphere; soil water; soil water balance; urea; urease inhibitors
Abstract:
... Agricultural ecosystems are one of the largest global contributors to nitrate (NO₃⁻) contamination of surface- and groundwater through fertilizer application. Improved fertilizer practices are needed to manage crop nutrient supply in corn (Zea mays L.) while minimizing impacts to clean water reserves. The goal of this study was to compare current nitrogen (N) fertilizer practices (urea at planting ...
DOI:
10.1139/cjss-2018-0110

12. Multi-frequency radiometer-based soil moisture retrieval and algorithm parameterization using in situ sites

Author:
A. Berg,   et al.   ; Cosh Michael H.; Y. Gao; A. Colliander; M.S. Burgin; J.P. Walker; E. Dinnat; C. Chae; M.H. Cosh; T.G. Caldwell; J. Martinez-Fernandez; M. Seyfried; P.J. Starks; D.D. Bosch; H. McNairn; Z. Su; R. van der Velde;     Show all 17 Authors
Source:
Remote sensing of environment 2022 v.279 pp. 113113
ISSN:
0034-4257
Subject:
algorithms; environment; land cover; microwave radiometers; models; roughness; satellites; soil water; temperature; time series analysis
Abstract:
... L-band brightness temperature (TB) has been shown to provide the best sensitivity to soil moisture (SM) although C- and X-band based products offer a longer time-series from satellite-based measurements. Currently, global coverage SM is routinely produced from spaceborne measurements using all three frequency bands, but despite continued validation efforts of the products, the relative characteris ...
Handle:
10113/7804738
DOI:
10.1016/j.rse.2022.113113

13. Assessing Soil Cover Levels during the Non-Growing Season Using Multitemporal Satellite Imagery and Spectral Unmixing Techniques

Author:
Aaron A. Berg,   et al.   ; Ahmed Laamrani; Pamela Joosse; Heather McNairn; Jennifer Hagerman; Kathryn Powell; Mark Berry;     Show all 7 Authors
Source:
Remote Sensing 2020 v.12 no.9 pp. -
ISSN:
2072-4292
Subject:
Landsat; agricultural land; basins; corn; cover crops; crop residues; land management; monitoring; remote sensing; snow; soil; soil quality; soybeans; water quality; winter; Lake Erie
Abstract:
... Growing cover or winter crops and retaining crop residue on agricultural lands are considered beneficial management practices to address soil health and water quality. Remote sensing is a valuable tool to assess and map crop residue cover and cover crops. The objective of this study is to evaluate the performance of linear spectral unmixing for estimating soil cover in the non-growing season (Nove ...
DOI:
10.3390/rs12091397

14. Perspectives of Parents With Type 1 Diabetes: Role of Children in Self-Management and Support

Author:
Cynthia A. Berg,   et al.   ; Jodi Krall; Vicki S. Helgeson; Eunjin Lee Tracy; MaryJane S. Campbell; Mary Korytkowski;     Show all 6 Authors
Source:
Diabetes educator 2020 v.46 no.6 pp. 552-558
ISSN:
1554-6063
Subject:
blood glucose; children; diabetes educators; education; insulin-dependent diabetes mellitus
Abstract:
... The purpose of this study was to examine parents’ perceptions of the role children play in their type 1 diabetes (T1DM) care. Family members are a resource to support T1DM self-management, but how children are involved in their parents’ diabetes has not been well explored. Parents with T1DM (n = 85) and a subset of their romantic partners (n = 55) participated in interviews during which they descr ...
DOI:
10.1177/0145721720964598

15. Canola yield sensitivity to climate indicators and passive microwave-derived soil moisture estimates in Saskatchewan, Canada

Author:
Aaron A. Berg,   et al.   ; Jenelle White; Catherine Champagne; Jon Warland; Yinsuo Zhang;     Show all 5 Authors
Source:
Agricultural and forest meteorology 2019 v.268 pp. 354-362
ISSN:
0168-1923
Subject:
Soil Moisture and Ocean Salinity satellite; canola; climate; crop yield; data collection; growing season; night temperature; plant available water; rain; remote sensing; salinity; stand establishment; Saskatchewan
Abstract:
... Canola production is primarily attributed to variations in precipitation and temperature, however the direct relationship between soil moisture and canola yield has yet to be fully evaluated. Recent advancements in microwave remote sensing offer the potential for timely and accurate acquisitions of large-scale soil moisture data; however, the short temporal record of these data sets presents a cha ...
DOI:
10.1016/j.agrformet.2019.01.004

16. Temporal Change of Soil Carbon on a Long-Term Experimental Site with Variable Crop Rotations and Tillage Systems

Author:
Aaron A. Berg,   et al.   ; Ahmed Laamrani; Paul R. Voroney; Adam W. Gillespie; Michael March; Bill Deen; Ralph C. Martin;     Show all 7 Authors
Source:
Agronomy 2020 v.10 no.6 pp. -
ISSN:
2073-4395
Subject:
Trifolium pratense; agricultural soils; alfalfa; carbon; combustion; conventional tillage; corn; cover crops; crop rotation; long term experiments; no-tillage; silt loam soils; soil carbon; soil fertility; soil sampling; soybeans; temporal variation; topsoil; winter wheat; Ontario
Abstract:
... The impacts of tillage practices and crop rotations are fundamental factors influencing changes in the soil carbon, and thus the sustainability of agricultural systems. The objective of this study was to compare soil carbon status and temporal changes in topsoil from different 4 year rotations and tillage treatments (i.e., no-till and conventional tillage). Rotation systems were primarily corn and ...
DOI:
10.3390/agronomy10060840

17. Improving Permafrost Modeling by Assimilating Remotely Sensed Soil Moisture

Author:
A. Berg,   et al.   ; S. Zwieback; S. Westermann; M. Langer; J. Boike; P. Marsh;     Show all 6 Authors
Source:
Water resources research 2019 v.55 no.3 pp. 1814-1832
ISSN:
0043-1397
Subject:
biogeochemistry; energy balance; models; permafrost; remote sensing; research; satellites; soil water; summer; thermal conductivity; Arctic region
Abstract:
... Knowledge of soil moisture conditions is important for modeling soil temperatures, as soil moisture influences the thermal dynamics in multiple ways. However, in permafrost regions, soil moisture is highly heterogeneous and difficult to model. Satellite soil moisture data may fill this gap, but the degree to which they can improve permafrost modeling is unknown. To explore their added value for mo ...
DOI:
10.1029/2018WR023247

18. Inclusion of Saccharina latissima in conventional anaerobic digestion systems

Author:
A. Berg,   et al.   ; F. Ometto; A. Björn; L. Safaric; B. H. Svensson; A. Karlsson; J. Ejlertsson;     Show all 7 Authors
Source:
Environmental technology 2018 v.39 no.5 pp. 628-639
ISSN:
1479-487X
Subject:
Saccharina latissima; anaerobic digestion; biomass; macroalgae; methane production; mixing; municipal wastewater; salinity; sludge; temperature; trace elements; viscosity; volatile fatty acids
Abstract:
... Loading macroalgae into existing anaerobic digestion (AD) plants allows us to overcome challenges such as low digestion efficiencies, trace elements limitation, excessive salinity levels and accumulation of volatile fatty acids (VFAs), observed while digesting algae as a single substrate. In this work, the co-digestion of the brown macroalgae Saccharina latissima with mixed municipal wastewater sl ...
DOI:
10.1080/09593330.2017.1309075

19. Evaluating DEM conditioning techniques, elevation source data, and grid resolution for field-scale hydrological parameter extraction

Author:
Aaron A. Berg,   et al.   ; Kathryn Woodrow; John B. Lindsay;     Show all 3 Authors
Source:
Journal of hydrology 2016 v.540 pp. 1022-1029
ISSN:
0022-1694
Subject:
agricultural watersheds; burning; digital elevation models; lidar; photogrammetry; runoff; soil erosion; spatial variation; streams; surface drainage; uncertainty; Ontario
Abstract:
... Although digital elevation models (DEMs) prove useful for a number of hydrological applications, they are often the end result of numerous processing steps that each contains uncertainty. These uncertainties have the potential to greatly influence DEM quality and to further propagate to DEM-derived attributes including derived surface and near-surface drainage patterns. This research examines the ...
DOI:
10.1016/j.jhydrol.2016.07.018

20. Influence of snowmelt on soil moisture and on near surface air temperature during winter–spring transition season

Author:
Aaron A. Berg,   et al.   ; Jaison Thomas Ambadan; William J. Merryfield; Woo-Sung Lee;     Show all 4 Authors
Source:
Climate dynamics 2018 v.51 no.4 pp. 1295-1309
ISSN:
0930-7575
Subject:
air temperature; autocorrelation; climate; climate models; data collection; freeze-thaw cycles; freezing point; frozen soils; memory; prediction; snowmelt; soil temperature; soil water; thawing; Central Asia; North America
Abstract:
... This study examines relationships between snowmelt and soil moisture (SM), in particular, the influence of snowmelt on soil moisture memory (SMM) and on near surface air temperature (T2M) over the extra-tropical northern hemisphere (ENH) using four state-of-the-art reanalysis products: ERA-Interim, ERA-Interim Land, MERRA-Land, and GLDAS, as well as using Canadian Seasonal and Interannual Predicti ...
DOI:
10.1007/s00382-017-3955-8