{"type": "FeatureCollection", "features": [{"id": "10.1016/j.envpol.2021.118128", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:16:00Z", "type": "Journal Article", "created": "2021-09-09", "title": "Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy", "description": "Previous studies have mostly focused on using visible-to-near-infrared spectral technique to quantitatively estimate soil cadmium (Cd) content, whereas little attention has been paid to identifying soil Cd contamination from a perspective of spectral classification. Here, we developed a framework to compare the potential of two spectral transformations (i.e., raw reflectance and continuum removal [CR]), three optimization strategies (i.e., full-spectrum, Boruta feature selection, and synthetic minority over-sampling technique [SMOTE]), and three classification algorithms (i.e., partial least squares discriminant analysis, random forest [RF], and support vector machine) for diagnosing soil Cd contamination. A total of 536 soil samples were collected from urban and suburban areas located in Wuhan City, China. Specifically, Boruta and SMOTE strategies were aimed at selecting the most informative predictors and obtaining balanced training datasets, respectively. Results indicated that soils contaminated by Cd induced decrease in spectral reflectance magnitude. Classification models developed after Boruta and SMOTE strategies out-performed to those from full-spectrum. A diagnose model combining CR preprocessing, SMOTE strategy, and RF algorithm achieved the highest validation accuracy for soil Cd (Kappa = 0.74). This study provides a theoretical reference for rapid identification of and monitoring of soil Cd contamination in urban and suburban areas.", "keywords": ["DIFFUSE-REFLECTANCE SPECTROSCOPY", "HUMAN HEALTH", "PREDICTION", "POTENTIALLY TOXIC ELEMENTS", "Boruta algorithm", "01 natural sciences", "Visible-to-near-infrared spectroscopy", "NIR SPECTROSCOPY", "Soil", "ORGANIC-CARBON", "Machine learning", "11. Sustainability", "Soil Pollutants", "Least-Squares Analysis", "0105 earth and related environmental sciences", "Spectroscopy", " Near-Infrared", "RANDOM FOREST", "Urban and suburban soil Cd contamination", "04 agricultural and veterinary sciences", "15. Life on land", "QUANTITATIVE-ANALYSIS", "6. Clean water", "RIVER DELTA", "13. 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However, direct physical indications for such PF-C release have so far been absent. Here we use the Laptev Sea (Arctic Ocean) as an archive to investigate PF-C destabilization during the last glacial\uffe2\uff80\uff93interglacial period. Our results show evidence for massive supply of PF-C from Siberian soils as a result of severe active layer deepening in response to the warming. Thawing of PF-C must also have brought about an enhanced organic matter respiration and, thus, these findings suggest that PF-C may indeed have been an important source of CO2 across the extensive permafrost domain. The results challenge current paradigms on the post-glacial CO2 rise and, at the same time, serve as a harbinger for possible consequences of the present-day warming of PF-C soils.</p", "keywords": ["550", "Science", "Q", "Permafrost", "Carbon cycle (Biogeochemistry)", "Climatic changes", "Biogeochemistry", "15. Life on land", "01 natural sciences", "Article", "13. 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Pleistocene ice complex permafrost deposits contain roughly a quarter of the organic carbon (OC) stored in permafrost (PF) terrain. When permafrost thaws, its OC is remobilized into the (aquatic) environment where it is available for degradation, transport or burial. Aquatic or coastal environments contain sedimentary reservoirs that can serve as archives of past climatic change. As permafrost thaw is increasing throughout the Arctic, these reservoirs are important locations to assess the fate of remobilized permafrost OC.We here present compound-specific deuterium (\uffce\uffb42H) analysis on leaf waxes as a tool to distinguish between OC released from thawing Pleistocene permafrost (ice complex deposits; ICD) and from thawing Holocene permafrost (from near-surface soils). Bulk geochemistry (%OC; \uffce\uffb413C; %total nitrogen, TN) was analyzed as well as the concentrations and \uffce\uffb42H signatures of long-chain n-alkanes (C21 to C33) and mid- to long-chain n-alkanoic acids (C16 to C30) extracted from both ICD-PF samples (n\uffe2\uff80\uff89=\uffe2\uff80\uff89\uffe2\uff80\uffaf9) and modern vegetation and O-horizon (topsoil-PF) samples (n\uffe2\uff80\uff89=\uffe2\uff80\uff89\uffe2\uff80\uffaf9) from across the northeast Siberian Arctic.  Results show that these topsoil-PF samples have higher %OC, higher OC\uffe2\uff80\uffaf\uffe2\uff88\uff95\uffe2\uff80\uffafTN values and more depleted \uffce\uffb413C-OC values than ICD-PF samples, suggesting that these former samples trace a fresher soil and/or vegetation source. Whereas the two investigated sources differ on the bulk geochemical level, they are, however, virtually indistinguishable when using leaf wax concentrations and ratios.  However, on the molecular isotope level, leaf wax biomarker \uffce\uffb42H values are statistically different between topsoil PF and ICD PF. For example, the mean \uffce\uffb42H value of C29\uffc2\uffa0n-alkane was \uffe2\uff88\uff92246\uffe2\uff80\uffaf\uffc2\uffb1\uffe2\uff80\uffaf13\uffe2\uff80\uffaf\uffe2\uff80\uffb0 (mean\uffe2\uff80\uffaf\uffc2\uffb1\uffe2\uff80\uffafSD) for topsoil PF and \uffe2\uff88\uff92280\uffe2\uff80\uffaf\uffc2\uffb1\uffe2\uff80\uffaf12\uffe2\uff80\uffaf\uffe2\uff80\uffb0 for ICD PF. With a dynamic isotopic range (difference between two sources) of 34 to 50\uffe2\uff80\uffaf\uffe2\uff80\uffb0; the isotopic fingerprints of individual, abundant, biomarker molecules from leaf waxes can thus serve as endmembers to distinguish between these two sources. We tested this molecular \uffce\uffb42H tracer along with another source-distinguishing approach, dual-carbon (\uffce\uffb413C\uffe2\uff80\uff93\uffce\uff9414C) isotope composition of bulk OC, for a surface sediment transect in the Laptev Sea. Results show that general offshore patterns along the shelf-slope transect are similar, but the source apportionment between the approaches vary, which may highlight the advantages of either. This study indicates that the application of \uffce\uffb42H leaf wax values has potential to serve as a complementary quantitative measure of the source and differential fate of OC thawed out from different permafrost compartments.                     </p>", "keywords": ["Environmental sciences", "QE1-996.5", "13. 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Here, we developed a framework to compare the potential of two spectral transformations (i.e., raw reflectance and continuum removal [CR]), three optimization strategies (i.e., full-spectrum, Boruta feature selection, and synthetic minority over-sampling technique [SMOTE]), and three classification algorithms (i.e., partial least squares discriminant analysis, random forest [RF], and support vector machine) for diagnosing soil Cd contamination. A total of 536 soil samples were collected from urban and suburban areas located in Wuhan City, China. Specifically, Boruta and SMOTE strategies were aimed at selecting the most informative predictors and obtaining balanced training datasets, respectively. Results indicated that soils contaminated by Cd induced decrease in spectral reflectance magnitude. Classification models developed after Boruta and SMOTE strategies out-performed to those from full-spectrum. A diagnose model combining CR preprocessing, SMOTE strategy, and RF algorithm achieved the highest validation accuracy for soil Cd (Kappa = 0.74). This study provides a theoretical reference for rapid identification of and monitoring of soil Cd contamination in urban and suburban areas.", "keywords": ["DIFFUSE-REFLECTANCE SPECTROSCOPY", "HUMAN HEALTH", "PREDICTION", "POTENTIALLY TOXIC ELEMENTS", "Boruta algorithm", "01 natural sciences", "Visible-to-near-infrared spectroscopy", "NIR SPECTROSCOPY", "Soil", "ORGANIC-CARBON", "Machine learning", "11. Sustainability", "Soil Pollutants", "Least-Squares Analysis", "0105 earth and related environmental sciences", "Spectroscopy", " Near-Infrared", "RANDOM FOREST", "Urban and suburban soil Cd contamination", "04 agricultural and veterinary sciences", "15. Life on land", "QUANTITATIVE-ANALYSIS", "6. Clean water", "RIVER DELTA", "13. 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However, direct physical indications for such PF-C release have so far been absent. Here we use the Laptev Sea (Arctic Ocean) as an archive to investigate PF-C destabilization during the last glacial\uffe2\uff80\uff93interglacial period. Our results show evidence for massive supply of PF-C from Siberian soils as a result of severe active layer deepening in response to the warming. Thawing of PF-C must also have brought about an enhanced organic matter respiration and, thus, these findings suggest that PF-C may indeed have been an important source of CO2 across the extensive permafrost domain. The results challenge current paradigms on the post-glacial CO2 rise and, at the same time, serve as a harbinger for possible consequences of the present-day warming of PF-C soils.</p", "keywords": ["550", "Science", "Q", "Permafrost", "Carbon cycle (Biogeochemistry)", "Climatic changes", "Biogeochemistry", "15. Life on land", "01 natural sciences", "Article", "13. Climate action", "SDG 13 - Climate Action", "SDG 14 - Life Below Water", "LAPTEV SEA SHELF; PARTICULATE ORGANIC-MATTER; LAST GLACIAL TERMINATION; ADJACENT NEARSHORE ZONE; GREENLAND STADIAL 1; LENA RIVER DELTA; INTERIOR ALASKA; YOUNGER DRYAS; ARCTIC-OCEAN; NE SIBERIA", "Cryosphere", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://www.nature.com/articles/ncomms13653.pdf"}, {"href": "https://doi.org/20.500.14243/317553"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Nature%20Communications", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "20.500.14243/317553", "name": "item", "description": "20.500.14243/317553", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/20.500.14243/317553"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-11-29T00:00:00Z"}}, {"id": "20.500.14243/331510", "type": "Feature", "geometry": null, "properties": {"updated": "2026-05-23T16:25:05Z", "type": "Journal Article", "created": "2017-08-09", "title": "Distinguishing between old and modern permafrost sources  in the northeast Siberian land\u2013shelf system with  compound-specific                     \u03b4                     2                     H analysis", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Pleistocene ice complex permafrost deposits contain roughly a quarter of the organic carbon (OC) stored in permafrost (PF) terrain. When permafrost thaws, its OC is remobilized into the (aquatic) environment where it is available for degradation, transport or burial. Aquatic or coastal environments contain sedimentary reservoirs that can serve as archives of past climatic change. As permafrost thaw is increasing throughout the Arctic, these reservoirs are important locations to assess the fate of remobilized permafrost OC.We here present compound-specific deuterium (\u03b42H) analysis on leaf waxes as a tool to distinguish between OC released from thawing Pleistocene permafrost (ice complex deposits; ICD) and from thawing Holocene permafrost (from near-surface soils). Bulk geochemistry (%OC; \u03b413C; %total nitrogen, TN) was analyzed as well as the concentrations and \u03b42H signatures of long-chain n-alkanes (C21 to C33) and mid- to long-chain n-alkanoic acids (C16 to C30) extracted from both ICD-PF samples (n\u2009=\u2009\u202f9) and modern vegetation and O-horizon (topsoil-PF) samples (n\u2009=\u2009\u202f9) from across the northeast Siberian Arctic.  Results show that these topsoil-PF samples have higher %OC, higher OC\u202f\u2215\u202fTN values and more depleted \u03b413C-OC values than ICD-PF samples, suggesting that these former samples trace a fresher soil and/or vegetation source. Whereas the two investigated sources differ on the bulk geochemical level, they are, however, virtually indistinguishable when using leaf wax concentrations and ratios.  However, on the molecular isotope level, leaf wax biomarker \u03b42H values are statistically different between topsoil PF and ICD PF. For example, the mean \u03b42H value of C29\u00a0n-alkane was \u2212246\u202f\u00b1\u202f13\u202f\u2030 (mean\u202f\u00b1\u202fSD) for topsoil PF and \u2212280\u202f\u00b1\u202f12\u202f\u2030 for ICD PF. With a dynamic isotopic range (difference between two sources) of 34 to 50\u202f\u2030; the isotopic fingerprints of individual, abundant, biomarker molecules from leaf waxes can thus serve as endmembers to distinguish between these two sources. We tested this molecular \u03b42H tracer along with another source-distinguishing approach, dual-carbon (\u03b413C\u2013\u039414C) isotope composition of bulk OC, for a surface sediment transect in the Laptev Sea. Results show that general offshore patterns along the shelf-slope transect are similar, but the source apportionment between the approaches vary, which may highlight the advantages of either. This study indicates that the application of \u03b42H leaf wax values has potential to serve as a complementary quantitative measure of the source and differential fate of OC thawed out from different permafrost compartments.</p></article>", "keywords": ["Environmental sciences", "QE1-996.5", "13. Climate action", "SEDIMENTARY ORGANIC-MATTER; N-ALKANE DISTRIBUTIONS; DMITRY LAPTEV STRAIT; LENA RIVER DELTA; BUOR-KHAYA BAY; ARCTIC SHELF; STABLE-ISOTOPES; CARBON ISOTOPES; YEDOMA REGION; GROUND-ICE", "GE1-350", "Geology", "SDG 14 - Life Below Water", "15. 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