Hydropedology

Lin, Henry

doi:10.1016/b978-0-12-386941-8.00001-0

Cited by 30 publications

(7 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This assumption can be confirmed from the organic matter content graph (Figure 1b, top right), where the organic matter content of the sample collected in the post-melt 2020 period clearly plots away from all other samples that show a significantly higher percentage of organic matter, and from the substantial decrease in total amount of water stored in the soil column (Figure 7). This site is located close to the stream outlet, at the groundwater-surface water interface where fen, paludifed forest and spruce forest converge, and such settings can be hotspots of biogeochemical activity due to intersecting or strongly episodic hydrologic pathways (Lin, 2012;McClain et al, 2003;Pinay & Burt, 2016;Vidon & Hill, 2004) and low topographic position within the catchment (Kuglerova et al, 2015;Kuglerová et al, 2014;Laudon & Sponseller, 2018;Ploum et al, 2020). Soil patches at such interfaces can potentially exhibit disproportionately high reaction rates relative to the surrounding soil matrix (Lin, 2012;McClain et al, 2003).…”

Section: Seasonal Evolution Of Stem Water Signalmentioning

confidence: 99%

“…This site is located close to the stream outlet, at the groundwater-surface water interface where fen, paludifed forest and spruce forest converge, and such settings can be hotspots of biogeochemical activity due to intersecting or strongly episodic hydrologic pathways (Lin, 2012;McClain et al, 2003;Pinay & Burt, 2016;Vidon & Hill, 2004) and low topographic position within the catchment (Kuglerova et al, 2015;Kuglerová et al, 2014;Laudon & Sponseller, 2018;Ploum et al, 2020). Soil patches at such interfaces can potentially exhibit disproportionately high reaction rates relative to the surrounding soil matrix (Lin, 2012;McClain et al, 2003). No such effects were detected by soil water isotopes during this study.…”

Section: Seasonal Evolution Of Stem Water Signalmentioning

confidence: 99%

See 1 more Smart Citation

Flushing or mixing? Stable water isotopes reveal differences in arctic forest and peatland soil water seasonality

Muhic

Ala‐aho

Noor

et al. 2023

Hydrological Processes

View full text Add to dashboard Cite

Understanding the relative importance of different water sources that replenish soil water storage is necessary to assess the vulnerability of sub-arctic areas to changes in climate and altered rain and snow conditions, reflected in the timing and magnitude of water infiltration. We examine spatiotemporal variability and seasonal origin of soil water at the soil-vegetation interface in Pallas catchment, located in northern Finland. The field study was conducted from May 2019 to June 2020 over two

show abstract

Section: Seasonal Evolution Of Stem Water Signalmentioning

confidence: 99%

Section: Seasonal Evolution Of Stem Water Signalmentioning

confidence: 99%

Flushing or mixing? Stable water isotopes reveal differences in arctic forest and peatland soil water seasonality

Muhic

Ala‐aho

Noor

et al. 2023

Hydrological Processes

View full text Add to dashboard Cite

show abstract

“…The dynamic two-way relationship between soil water status and SOC stocks and losses continues to underpin our understanding of environmental controls on SOC dynamics (Ghezzehei et al 2019). The linkage between SOC and soil structure necessarily means that SOC is an important feature governing hydraulic flow paths through and across landscapes, and thus, SOC is directly linked to the emerging discipline of hydropedology, which explores the interactions of hydrological and pedological processes in the unsaturated zone (Lin 2012), as well as soil physics itself. As such, reactive transport modelers also benefit from knowledge of SOC abundances in diverse environmental settings.…”

Section: Ecosystemmentioning

confidence: 99%

Soil organic carbon is not just for soil scientists: measurement recommendations for diverse practitioners

Billings

Lajtha

Malhotra

et al. 2021

Ecological Applications

View full text Add to dashboard Cite

Soil organic carbon (SOC) regulates terrestrial ecosystem functioning, provides diverse energy sources for soil microorganisms, governs soil structure, and regulates the availability of organically bound nutrients. Investigators in increasingly diverse disciplines recognize how quantifying SOC attributes can provide insight about ecological states and processes. Today, multiple research networks collect and provide SOC data, and robust, new technologies are available for managing, sharing, and analyzing large data sets. We advocate that the scientific community capitalize on these developments to augment SOC data sets via standardized protocols. We describe why such efforts are important and the breadth of disciplines for which it will be helpful, and outline a tiered approach for standardized sampling of SOC and ancillary variables that ranges from simple to more complex. We target scientists ranging from those with little to no background in soil science to those with more soil-related expertise, and offer examples of the ways in which the resulting data can be organized, shared, and discoverable.

show abstract

“…Hence, the investigation of soil properties becomes increasingly important (Lin, 2004;Vitharana et al, 2008;Behrens et al, 2009;Zacharias et al, 2009;Minasny et al, 2010). Adaptive landuse management, e.g., agricultural site-specific crop management (SSCM) demands reliable maps which include significant information of relevant criteria from the subsurface (Moral et al, 2010;Twarakavi et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Combination of electromagnetic induction and gamma spectrometry using K‐means clustering: A study for evaluation of site partitioning

Altdorff

Dietrich

2012

Z. Pflanzenernähr. Bodenk.

View full text Add to dashboard Cite

Today rapid survey methods of proximal soil sensing (PSS) provide an increasing number of different and highly resolved data. These multidimensional data sets can lead to multilayered and complex maps of parameters which are only indirectly related to soil properties and soil functions. However, in applications usually just one clear elementary map is required. It is of increasing importance to tackle this problem utilizing a cluster algorithm for the synthesis and reduction of multidimensional input variables. The cluster algorithm provides a partitioning of the investigated site whereby the units are characterized by the statistics of the PSS data. Therefore, the question that arises is how suitable is the suggested partitioning in terms of the delineation of different soil units. In this study, we investigate the suitability of cluster partitioning through a case study at a medium-scale test site (≈ 50 000 m 2 ). Two common PSS methods: electromagnetic induction (EMI) and gamma spectrometry (GS) will be employed to create a data set for partitioning by a K-means cluster. The result of the cluster analysis is a delineation of three different parts. In contrast to previous studies, we evaluate the generated partitions by independent soil properties such as grain size, horizon thickness, and color of stratified randomly taken soil samples. The soil analyses show that one of three clusters significantly differs from the others in terms of grain-size distribution and horizon thickness. The partitioning of the other two clusters could not be confirmed by the considered soil parameters. Nevertheless, the case study demonstrates the combination of different PSS data by K-means clustering as a potential approach for site partitioning. An evaluation of the results of the cluster analysis through the collection and analysis of soil samples is highly recommended.Key words: site partitioning / proximal soil sensing / rapid soil survey / cluster analysis / EMI / gamma spectrometry / site-specific crop management (SSCM)

show abstract

Hydropedology

Cited by 30 publications

References 84 publications

Flushing or mixing? Stable water isotopes reveal differences in arctic forest and peatland soil water seasonality

Flushing or mixing? Stable water isotopes reveal differences in arctic forest and peatland soil water seasonality

Soil organic carbon is not just for soil scientists: measurement recommendations for diverse practitioners

Combination of electromagnetic induction and gamma spectrometry using K‐means clustering: A study for evaluation of site partitioning

Contact Info

Product

Resources

About