Dominant Control of Macroporosity on Saturated Soil Hydraulic Conductivity at Multiple Scales and Locations Revealed by Wavelet Analyses
Knowledge on multi-scale and localized control of saturated soil hydraulic conductivity (Ksat) at the watershed scale is lacking. The objective of this study was to evaluate the multi-scale spatial relationships among Ksat and environmental factors (i.e., soil and topographic attributes and land-use...
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description | Knowledge on multi-scale and localized control of saturated soil hydraulic conductivity (Ksat) at the watershed scale is lacking. The objective of this study was to evaluate the multi-scale spatial relationships among Ksat and environmental factors (i.e., soil and topographic attributes and land-use systems) using wavelet coherency and multiple wavelet coherence methods. In the Fragata River Watershed (FRW) in southern Brazil, one hundred points were distributed at equal distances along a 15-km transect. In the 0–20 cm layer, clay and sand fractions, organic carbon content, bulk density, macroporosity, Ksat, and soil water retention curve were determined from soil sampled at each point. The digital elevation model was used for obtaining topographic attributes. A land-use map was developed by use of satellite images. All data sets were analyzed using descriptive statistics, and the relationship among Ksat and the other variables was evaluated through the Spearman correlation coefficient. Wavelet coherency and multiple wavelet coherence were used to examine the correlation among Ksat and each of the explanatory variables and to investigate the scale-specific and localized multivariate relationships among Ksat and predictor variables, respectively. According to the bivariate wavelet coherency and multiple wavelet coherence analyses, macroporosity showed the greatest mean wavelet coherence and percent area of significance coherence with Ksat. The variations of soil macroporosity itself were enough to explain the variations in Ksat in a multiple-scale and -location domain. Soil macroporosity could be used as a proxy for assessing runoff potential at different land-use systems with different scales in the FRW in southern Brazil. |
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The objective of this study was to evaluate the multi-scale spatial relationships among Ksat and environmental factors (i.e., soil and topographic attributes and land-use systems) using wavelet coherency and multiple wavelet coherence methods. In the Fragata River Watershed (FRW) in southern Brazil, one hundred points were distributed at equal distances along a 15-km transect. In the 0–20 cm layer, clay and sand fractions, organic carbon content, bulk density, macroporosity, Ksat, and soil water retention curve were determined from soil sampled at each point. The digital elevation model was used for obtaining topographic attributes. A land-use map was developed by use of satellite images. All data sets were analyzed using descriptive statistics, and the relationship among Ksat and the other variables was evaluated through the Spearman correlation coefficient. Wavelet coherency and multiple wavelet coherence were used to examine the correlation among Ksat and each of the explanatory variables and to investigate the scale-specific and localized multivariate relationships among Ksat and predictor variables, respectively. According to the bivariate wavelet coherency and multiple wavelet coherence analyses, macroporosity showed the greatest mean wavelet coherence and percent area of significance coherence with Ksat. The variations of soil macroporosity itself were enough to explain the variations in Ksat in a multiple-scale and -location domain. Soil macroporosity could be used as a proxy for assessing runoff potential at different land-use systems with different scales in the FRW in southern Brazil.</description><identifier>ISSN: 0718-9508</identifier><identifier>EISSN: 0718-9516</identifier><identifier>DOI: 10.1007/s42729-020-00239-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Agriculture ; Biomedical and Life Sciences ; Bivariate analysis ; Bulk density ; Carbon content ; Coherence ; Correlation coefficient ; Correlation coefficients ; Digital Elevation Models ; Ecology ; Environment ; Environmental factors ; Evaluation ; Global positioning systems ; GPS ; Hydraulic conductivity ; Hydraulics ; Hydrology ; Land use ; Landsat satellites ; Life Sciences ; Macroporosity ; Moisture content ; Organic carbon ; Original Paper ; Plant Sciences ; Satellite imagery ; Saturated soils ; Software ; Soil conductivity ; Soil Science & Conservation ; Soil sciences ; Soil water ; Topography ; Variables ; Variance analysis ; Watersheds ; Wavelet analysis</subject><ispartof>Journal of soil science and plant nutrition, 2020-12, Vol.20 (4), p.1686-1702</ispartof><rights>Sociedad Chilena de la Ciencia del Suelo 2020</rights><rights>Sociedad Chilena de la Ciencia del Suelo 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-4e7a41881537cb02974e713ef6f950c088156292f27fdd3c48d41acdbe2047d23</citedby><cites>FETCH-LOGICAL-c319t-4e7a41881537cb02974e713ef6f950c088156292f27fdd3c48d41acdbe2047d23</cites><orcidid>0000-0003-2916-8125</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s42729-020-00239-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2933272924?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,21389,21390,21391,23256,27924,27925,33530,33703,33744,34005,34314,41488,42557,43659,43787,43805,43953,44067,51319,64385,64389,72469</link.rule.ids></links><search><creatorcontrib>Centeno, Luana Nunes</creatorcontrib><creatorcontrib>Hu, Wei</creatorcontrib><creatorcontrib>Timm, Luís Carlos</creatorcontrib><creatorcontrib>She, Dongli</creatorcontrib><creatorcontrib>da Silva Ferreira, Arlan</creatorcontrib><creatorcontrib>Barros, Willian Silva</creatorcontrib><creatorcontrib>Beskow, Samuel</creatorcontrib><creatorcontrib>Caldeira, Tamara Leitzke</creatorcontrib><title>Dominant Control of Macroporosity on Saturated Soil Hydraulic Conductivity at Multiple Scales and Locations Revealed by Wavelet Analyses</title><title>Journal of soil science and plant nutrition</title><addtitle>J Soil Sci Plant Nutr</addtitle><description>Knowledge on multi-scale and localized control of saturated soil hydraulic conductivity (Ksat) at the watershed scale is lacking. The objective of this study was to evaluate the multi-scale spatial relationships among Ksat and environmental factors (i.e., soil and topographic attributes and land-use systems) using wavelet coherency and multiple wavelet coherence methods. In the Fragata River Watershed (FRW) in southern Brazil, one hundred points were distributed at equal distances along a 15-km transect. In the 0–20 cm layer, clay and sand fractions, organic carbon content, bulk density, macroporosity, Ksat, and soil water retention curve were determined from soil sampled at each point. The digital elevation model was used for obtaining topographic attributes. A land-use map was developed by use of satellite images. All data sets were analyzed using descriptive statistics, and the relationship among Ksat and the other variables was evaluated through the Spearman correlation coefficient. Wavelet coherency and multiple wavelet coherence were used to examine the correlation among Ksat and each of the explanatory variables and to investigate the scale-specific and localized multivariate relationships among Ksat and predictor variables, respectively. According to the bivariate wavelet coherency and multiple wavelet coherence analyses, macroporosity showed the greatest mean wavelet coherence and percent area of significance coherence with Ksat. The variations of soil macroporosity itself were enough to explain the variations in Ksat in a multiple-scale and -location domain. Soil macroporosity could be used as a proxy for assessing runoff potential at different land-use systems with different scales in the FRW in southern Brazil.</description><subject>Agriculture</subject><subject>Biomedical and Life Sciences</subject><subject>Bivariate analysis</subject><subject>Bulk density</subject><subject>Carbon content</subject><subject>Coherence</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Digital Elevation Models</subject><subject>Ecology</subject><subject>Environment</subject><subject>Environmental factors</subject><subject>Evaluation</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Hydraulic conductivity</subject><subject>Hydraulics</subject><subject>Hydrology</subject><subject>Land use</subject><subject>Landsat satellites</subject><subject>Life Sciences</subject><subject>Macroporosity</subject><subject>Moisture content</subject><subject>Organic carbon</subject><subject>Original Paper</subject><subject>Plant Sciences</subject><subject>Satellite imagery</subject><subject>Saturated soils</subject><subject>Software</subject><subject>Soil conductivity</subject><subject>Soil Science & Conservation</subject><subject>Soil sciences</subject><subject>Soil water</subject><subject>Topography</subject><subject>Variables</subject><subject>Variance analysis</subject><subject>Watersheds</subject><subject>Wavelet analysis</subject><issn>0718-9508</issn><issn>0718-9516</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM9OwzAMxisEEtPYC3CKxLngJO3SHqfxZ0ibkBiIY5QlKeqUNSVJJ_UNeGxSiuCGL7bs77PsX5JcYrjGAOzGZ4SRMgUCKQChZZqfJBNguEjLHM9Pf2sozpOZ93uIUQDkwCbJ56091I1oAlraJjhrkK3QRkhnW-usr0OPbIO2InROBK3Q1tYGrXrlRGdqOZhUJ0N9HIQioE1nQt0ajbZSGO2RaBRaWylCbRuPnvVRx7ZCux69iaM2OqBFI0zvtb9IziphvJ795Gnyen_3slyl66eHx-VinUqKy5BmmokMFwXOKZM7ICWLHUx1Na_igxKGyZyUpCKsUorKrFAZFlLtNIGMKUKnydW4t3X2o9M-8L3tXDzCc1JSOpAkWVSRURVBeO90xVtXH4TrOQY-QOcjdB6h82_oPI8mOpp8FDfv2v2t_sf1BeAahgs</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>Centeno, Luana Nunes</creator><creator>Hu, Wei</creator><creator>Timm, Luís Carlos</creator><creator>She, Dongli</creator><creator>da Silva Ferreira, Arlan</creator><creator>Barros, Willian Silva</creator><creator>Beskow, Samuel</creator><creator>Caldeira, Tamara Leitzke</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0003-2916-8125</orcidid></search><sort><creationdate>20201201</creationdate><title>Dominant Control of Macroporosity on Saturated Soil Hydraulic Conductivity at Multiple Scales and Locations Revealed by Wavelet Analyses</title><author>Centeno, Luana Nunes ; Hu, Wei ; Timm, Luís Carlos ; She, Dongli ; da Silva Ferreira, Arlan ; Barros, Willian Silva ; Beskow, Samuel ; Caldeira, Tamara Leitzke</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-4e7a41881537cb02974e713ef6f950c088156292f27fdd3c48d41acdbe2047d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agriculture</topic><topic>Biomedical and Life Sciences</topic><topic>Bivariate analysis</topic><topic>Bulk density</topic><topic>Carbon content</topic><topic>Coherence</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Digital Elevation Models</topic><topic>Ecology</topic><topic>Environment</topic><topic>Environmental factors</topic><topic>Evaluation</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Hydraulic conductivity</topic><topic>Hydraulics</topic><topic>Hydrology</topic><topic>Land use</topic><topic>Landsat satellites</topic><topic>Life Sciences</topic><topic>Macroporosity</topic><topic>Moisture content</topic><topic>Organic carbon</topic><topic>Original Paper</topic><topic>Plant Sciences</topic><topic>Satellite imagery</topic><topic>Saturated soils</topic><topic>Software</topic><topic>Soil conductivity</topic><topic>Soil Science & Conservation</topic><topic>Soil sciences</topic><topic>Soil water</topic><topic>Topography</topic><topic>Variables</topic><topic>Variance analysis</topic><topic>Watersheds</topic><topic>Wavelet analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Centeno, Luana Nunes</creatorcontrib><creatorcontrib>Hu, Wei</creatorcontrib><creatorcontrib>Timm, Luís Carlos</creatorcontrib><creatorcontrib>She, Dongli</creatorcontrib><creatorcontrib>da Silva Ferreira, Arlan</creatorcontrib><creatorcontrib>Barros, Willian Silva</creatorcontrib><creatorcontrib>Beskow, Samuel</creatorcontrib><creatorcontrib>Caldeira, Tamara Leitzke</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of soil science and plant nutrition</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Centeno, Luana Nunes</au><au>Hu, Wei</au><au>Timm, Luís Carlos</au><au>She, Dongli</au><au>da Silva Ferreira, Arlan</au><au>Barros, Willian Silva</au><au>Beskow, Samuel</au><au>Caldeira, Tamara Leitzke</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dominant Control of Macroporosity on Saturated Soil Hydraulic Conductivity at Multiple Scales and Locations Revealed by Wavelet Analyses</atitle><jtitle>Journal of soil science and plant nutrition</jtitle><stitle>J Soil Sci Plant Nutr</stitle><date>2020-12-01</date><risdate>2020</risdate><volume>20</volume><issue>4</issue><spage>1686</spage><epage>1702</epage><pages>1686-1702</pages><issn>0718-9508</issn><eissn>0718-9516</eissn><abstract>Knowledge on multi-scale and localized control of saturated soil hydraulic conductivity (Ksat) at the watershed scale is lacking. The objective of this study was to evaluate the multi-scale spatial relationships among Ksat and environmental factors (i.e., soil and topographic attributes and land-use systems) using wavelet coherency and multiple wavelet coherence methods. In the Fragata River Watershed (FRW) in southern Brazil, one hundred points were distributed at equal distances along a 15-km transect. In the 0–20 cm layer, clay and sand fractions, organic carbon content, bulk density, macroporosity, Ksat, and soil water retention curve were determined from soil sampled at each point. The digital elevation model was used for obtaining topographic attributes. A land-use map was developed by use of satellite images. All data sets were analyzed using descriptive statistics, and the relationship among Ksat and the other variables was evaluated through the Spearman correlation coefficient. Wavelet coherency and multiple wavelet coherence were used to examine the correlation among Ksat and each of the explanatory variables and to investigate the scale-specific and localized multivariate relationships among Ksat and predictor variables, respectively. According to the bivariate wavelet coherency and multiple wavelet coherence analyses, macroporosity showed the greatest mean wavelet coherence and percent area of significance coherence with Ksat. The variations of soil macroporosity itself were enough to explain the variations in Ksat in a multiple-scale and -location domain. Soil macroporosity could be used as a proxy for assessing runoff potential at different land-use systems with different scales in the FRW in southern Brazil.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s42729-020-00239-5</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-2916-8125</orcidid></addata></record> |
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subjects | Agriculture Biomedical and Life Sciences Bivariate analysis Bulk density Carbon content Coherence Correlation coefficient Correlation coefficients Digital Elevation Models Ecology Environment Environmental factors Evaluation Global positioning systems GPS Hydraulic conductivity Hydraulics Hydrology Land use Landsat satellites Life Sciences Macroporosity Moisture content Organic carbon Original Paper Plant Sciences Satellite imagery Saturated soils Software Soil conductivity Soil Science & Conservation Soil sciences Soil water Topography Variables Variance analysis Watersheds Wavelet analysis |
title | Dominant Control of Macroporosity on Saturated Soil Hydraulic Conductivity at Multiple Scales and Locations Revealed by Wavelet Analyses |
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