Elucidating the complex interrelationships of soil organic carbon fractions with land use/land cover types and landform attributes in a montane ecosystem
Purpose Soil organic carbon (SOC) consists of different fractions characterized by different physical sizes, chemical composition, and turnover rates. As these fractions might respond differently to the environmental factors, deciphering their relationships with environmental factors is useful to be...
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| Veröffentlicht in: | Journal of soils and sediments 2015-05, Vol.15 (5), p.1039-1054 |
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| creator | Dorji, Tshering Odeh, Inakwu O. A. Field, Damien J. |
| description | Purpose
Soil organic carbon (SOC) consists of different fractions characterized by different physical sizes, chemical composition, and turnover rates. As these fractions might respond differently to the environmental factors, deciphering their relationships with environmental factors is useful to better understand carbon (C) dynamics. Therefore, this study was aimed to elucidate the complex interrelationships of SOC fractions with land use/land cover (LULC) types and landform attributes in a montane ecosystem of Bhutan.
Materials and methods
Soil samples were collected based on genetic horizons from the sites predetermined by condition Latin hypercube sampling (cLHS) scheme. Samples were then fractionated into >53 and 53 and |
| doi_str_mv | 10.1007/s11368-015-1088-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1680441193</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1680441193</sourcerecordid><originalsourceid>FETCH-LOGICAL-c419t-f1231dbfb3dd09000d41f1ee2023915f2d9a9e17984820c1c96e2e2d0718beab3</originalsourceid><addsrcrecordid>eNp1kc-KFDEQxhtRcF19AG8BL17arUqy08lRlnUVFrzoOaTTlZks3UmbpNV5FN_WzI4HETzVn-_3FQVf171GeIcAw1VBFDvVA173CEr18kl3gTuU_SAVPG29FLqpoJ53L0p5ABBDky-6X7fz5sJka4h7Vg_EXFrWmX6yECvlTHNTUiyHsBaWPCspzCzlvY3BMWfzmCLz2bpHiP0I9cBmGye2Fbp6bFz6TpnV40qFnebT0qe8MFtrDuNW2z5EZtmSYrWRGLlUjqXS8rJ75u1c6NWfetl9_XD75eZjf__57tPN-_veSdS198gFTqMfxTSBBoBJokciDlxovPZ80lYTDlpJxcGh0zvixCcYUI1kR3HZvT3fXXP6tlGpZgnF0dw-pbQVgzsFUiJq0dA3_6APacuxfdeoQQhEDqpReKZcTqVk8mbNYbH5aBDMKSxzDsu0sMwpLCObh589pbFxT_mvy_81_Qbb5ppJ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1673311208</pqid></control><display><type>article</type><title>Elucidating the complex interrelationships of soil organic carbon fractions with land use/land cover types and landform attributes in a montane ecosystem</title><source>SpringerLink Journals - AutoHoldings</source><creator>Dorji, Tshering ; Odeh, Inakwu O. A. ; Field, Damien J.</creator><creatorcontrib>Dorji, Tshering ; Odeh, Inakwu O. A. ; Field, Damien J.</creatorcontrib><description>Purpose
Soil organic carbon (SOC) consists of different fractions characterized by different physical sizes, chemical composition, and turnover rates. As these fractions might respond differently to the environmental factors, deciphering their relationships with environmental factors is useful to better understand carbon (C) dynamics. Therefore, this study was aimed to elucidate the complex interrelationships of SOC fractions with land use/land cover (LULC) types and landform attributes in a montane ecosystem of Bhutan.
Materials and methods
Soil samples were collected based on genetic horizons from the sites predetermined by condition Latin hypercube sampling (cLHS) scheme. Samples were then fractionated into >53 and <53 μm fractions and their C contents determined using Vario Max CNS Analyzer. The C content in each of the fractions >53 and <53 μm corresponds to particulate organic carbon (POC) and humic organic carbon (HOC), respectively. A spline function was fitted to interpolate the POC and HOC concentrations of the genetic horizons to determined depths (0–20, 20–40, 40–60, 60–80, and 80–100 cm). The resulting data were analyzed using multivariate ordination techniques and linear mixed model followed by a posteriori mean separation tests.
Results and discussion
POC in the upper depths was positively correlated to slope and altitude, while it was negatively correlated to multi-resolution valley bottom flatness (MR-VBF), SAGA wetness index (SWI), and normalized difference vegetation index (NDVI). POC was also positively associated with forests and northern aspect in the upper depths and shrublands in the lower depths but was negatively associated with agricultural lands and southern aspect in the upper depths and grasslands and western aspect in the lower depths. Conversely, HOC was positively correlated to MR-VBF, SWI, and NDVI but was negatively correlated to slope and altitude in the lower depths. While HOC was positively associated with agricultural lands, southern and western aspect, and grasslands, it was negatively associated with northern aspect, shrublands, and forests at some depths. Both POC and HOC concentrations were significantly higher under forests and shrublands, 4000–5520 and 3500–4000 m altitudinal zones and north-facing slope than other LULC types, altitudinal zones, and aspect directions.
Conclusions
This study shows that POC and HOC respond differently to various LULC types and landform attributes depicting their unique interrelationships with the environmental attributes. Therefore, this has implications on land management practices to maintain optimum levels of both POC and HOC under different LULC types to enhance sustainable agriculture, ecosystem services, and C sequestration.</description><identifier>ISSN: 1439-0108</identifier><identifier>EISSN: 1614-7480</identifier><identifier>DOI: 10.1007/s11368-015-1088-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agricultural ecosystems ; Agricultural land ; Altitude ; Biogeochemistry ; Carbon ; Earth and Environmental Science ; Ecosystem services ; Environment ; Environmental factors ; Environmental Physics ; Grasslands ; Land management ; Land use ; Montane environments ; Mountain ecosystems ; Mountains ; Ordination ; Particulate organic carbon ; Sec 1 • Soil Organic Matter Dynamics and Nutrient Cycling • Research Article ; Shrublands ; Soil Science & Conservation ; Soils ; Sustainable agriculture ; Terrestrial ecosystems</subject><ispartof>Journal of soils and sediments, 2015-05, Vol.15 (5), p.1039-1054</ispartof><rights>Springer-Verlag Berlin Heidelberg 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c419t-f1231dbfb3dd09000d41f1ee2023915f2d9a9e17984820c1c96e2e2d0718beab3</citedby><cites>FETCH-LOGICAL-c419t-f1231dbfb3dd09000d41f1ee2023915f2d9a9e17984820c1c96e2e2d0718beab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11368-015-1088-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11368-015-1088-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Dorji, Tshering</creatorcontrib><creatorcontrib>Odeh, Inakwu O. A.</creatorcontrib><creatorcontrib>Field, Damien J.</creatorcontrib><title>Elucidating the complex interrelationships of soil organic carbon fractions with land use/land cover types and landform attributes in a montane ecosystem</title><title>Journal of soils and sediments</title><addtitle>J Soils Sediments</addtitle><description>Purpose
Soil organic carbon (SOC) consists of different fractions characterized by different physical sizes, chemical composition, and turnover rates. As these fractions might respond differently to the environmental factors, deciphering their relationships with environmental factors is useful to better understand carbon (C) dynamics. Therefore, this study was aimed to elucidate the complex interrelationships of SOC fractions with land use/land cover (LULC) types and landform attributes in a montane ecosystem of Bhutan.
Materials and methods
Soil samples were collected based on genetic horizons from the sites predetermined by condition Latin hypercube sampling (cLHS) scheme. Samples were then fractionated into >53 and <53 μm fractions and their C contents determined using Vario Max CNS Analyzer. The C content in each of the fractions >53 and <53 μm corresponds to particulate organic carbon (POC) and humic organic carbon (HOC), respectively. A spline function was fitted to interpolate the POC and HOC concentrations of the genetic horizons to determined depths (0–20, 20–40, 40–60, 60–80, and 80–100 cm). The resulting data were analyzed using multivariate ordination techniques and linear mixed model followed by a posteriori mean separation tests.
Results and discussion
POC in the upper depths was positively correlated to slope and altitude, while it was negatively correlated to multi-resolution valley bottom flatness (MR-VBF), SAGA wetness index (SWI), and normalized difference vegetation index (NDVI). POC was also positively associated with forests and northern aspect in the upper depths and shrublands in the lower depths but was negatively associated with agricultural lands and southern aspect in the upper depths and grasslands and western aspect in the lower depths. Conversely, HOC was positively correlated to MR-VBF, SWI, and NDVI but was negatively correlated to slope and altitude in the lower depths. While HOC was positively associated with agricultural lands, southern and western aspect, and grasslands, it was negatively associated with northern aspect, shrublands, and forests at some depths. Both POC and HOC concentrations were significantly higher under forests and shrublands, 4000–5520 and 3500–4000 m altitudinal zones and north-facing slope than other LULC types, altitudinal zones, and aspect directions.
Conclusions
This study shows that POC and HOC respond differently to various LULC types and landform attributes depicting their unique interrelationships with the environmental attributes. Therefore, this has implications on land management practices to maintain optimum levels of both POC and HOC under different LULC types to enhance sustainable agriculture, ecosystem services, and C sequestration.</description><subject>Agricultural ecosystems</subject><subject>Agricultural land</subject><subject>Altitude</subject><subject>Biogeochemistry</subject><subject>Carbon</subject><subject>Earth and Environmental Science</subject><subject>Ecosystem services</subject><subject>Environment</subject><subject>Environmental factors</subject><subject>Environmental Physics</subject><subject>Grasslands</subject><subject>Land management</subject><subject>Land use</subject><subject>Montane environments</subject><subject>Mountain ecosystems</subject><subject>Mountains</subject><subject>Ordination</subject><subject>Particulate organic carbon</subject><subject>Sec 1 • Soil Organic Matter Dynamics and Nutrient Cycling • Research Article</subject><subject>Shrublands</subject><subject>Soil Science & Conservation</subject><subject>Soils</subject><subject>Sustainable agriculture</subject><subject>Terrestrial ecosystems</subject><issn>1439-0108</issn><issn>1614-7480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</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>eNp1kc-KFDEQxhtRcF19AG8BL17arUqy08lRlnUVFrzoOaTTlZks3UmbpNV5FN_WzI4HETzVn-_3FQVf171GeIcAw1VBFDvVA173CEr18kl3gTuU_SAVPG29FLqpoJ53L0p5ABBDky-6X7fz5sJka4h7Vg_EXFrWmX6yECvlTHNTUiyHsBaWPCspzCzlvY3BMWfzmCLz2bpHiP0I9cBmGye2Fbp6bFz6TpnV40qFnebT0qe8MFtrDuNW2z5EZtmSYrWRGLlUjqXS8rJ75u1c6NWfetl9_XD75eZjf__57tPN-_veSdS198gFTqMfxTSBBoBJokciDlxovPZ80lYTDlpJxcGh0zvixCcYUI1kR3HZvT3fXXP6tlGpZgnF0dw-pbQVgzsFUiJq0dA3_6APacuxfdeoQQhEDqpReKZcTqVk8mbNYbH5aBDMKSxzDsu0sMwpLCObh589pbFxT_mvy_81_Qbb5ppJ</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Dorji, Tshering</creator><creator>Odeh, Inakwu O. A.</creator><creator>Field, Damien J.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7UA</scope><scope>7X2</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>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M0K</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20150501</creationdate><title>Elucidating the complex interrelationships of soil organic carbon fractions with land use/land cover types and landform attributes in a montane ecosystem</title><author>Dorji, Tshering ; Odeh, Inakwu O. A. ; Field, Damien J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c419t-f1231dbfb3dd09000d41f1ee2023915f2d9a9e17984820c1c96e2e2d0718beab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Agricultural ecosystems</topic><topic>Agricultural land</topic><topic>Altitude</topic><topic>Biogeochemistry</topic><topic>Carbon</topic><topic>Earth and Environmental Science</topic><topic>Ecosystem services</topic><topic>Environment</topic><topic>Environmental factors</topic><topic>Environmental Physics</topic><topic>Grasslands</topic><topic>Land management</topic><topic>Land use</topic><topic>Montane environments</topic><topic>Mountain ecosystems</topic><topic>Mountains</topic><topic>Ordination</topic><topic>Particulate organic carbon</topic><topic>Sec 1 • Soil Organic Matter Dynamics and Nutrient Cycling • Research Article</topic><topic>Shrublands</topic><topic>Soil Science & Conservation</topic><topic>Soils</topic><topic>Sustainable agriculture</topic><topic>Terrestrial ecosystems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dorji, Tshering</creatorcontrib><creatorcontrib>Odeh, Inakwu O. A.</creatorcontrib><creatorcontrib>Field, Damien J.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</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>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic 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>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Journal of soils and sediments</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dorji, Tshering</au><au>Odeh, Inakwu O. A.</au><au>Field, Damien J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Elucidating the complex interrelationships of soil organic carbon fractions with land use/land cover types and landform attributes in a montane ecosystem</atitle><jtitle>Journal of soils and sediments</jtitle><stitle>J Soils Sediments</stitle><date>2015-05-01</date><risdate>2015</risdate><volume>15</volume><issue>5</issue><spage>1039</spage><epage>1054</epage><pages>1039-1054</pages><issn>1439-0108</issn><eissn>1614-7480</eissn><abstract>Purpose
Soil organic carbon (SOC) consists of different fractions characterized by different physical sizes, chemical composition, and turnover rates. As these fractions might respond differently to the environmental factors, deciphering their relationships with environmental factors is useful to better understand carbon (C) dynamics. Therefore, this study was aimed to elucidate the complex interrelationships of SOC fractions with land use/land cover (LULC) types and landform attributes in a montane ecosystem of Bhutan.
Materials and methods
Soil samples were collected based on genetic horizons from the sites predetermined by condition Latin hypercube sampling (cLHS) scheme. Samples were then fractionated into >53 and <53 μm fractions and their C contents determined using Vario Max CNS Analyzer. The C content in each of the fractions >53 and <53 μm corresponds to particulate organic carbon (POC) and humic organic carbon (HOC), respectively. A spline function was fitted to interpolate the POC and HOC concentrations of the genetic horizons to determined depths (0–20, 20–40, 40–60, 60–80, and 80–100 cm). The resulting data were analyzed using multivariate ordination techniques and linear mixed model followed by a posteriori mean separation tests.
Results and discussion
POC in the upper depths was positively correlated to slope and altitude, while it was negatively correlated to multi-resolution valley bottom flatness (MR-VBF), SAGA wetness index (SWI), and normalized difference vegetation index (NDVI). POC was also positively associated with forests and northern aspect in the upper depths and shrublands in the lower depths but was negatively associated with agricultural lands and southern aspect in the upper depths and grasslands and western aspect in the lower depths. Conversely, HOC was positively correlated to MR-VBF, SWI, and NDVI but was negatively correlated to slope and altitude in the lower depths. While HOC was positively associated with agricultural lands, southern and western aspect, and grasslands, it was negatively associated with northern aspect, shrublands, and forests at some depths. Both POC and HOC concentrations were significantly higher under forests and shrublands, 4000–5520 and 3500–4000 m altitudinal zones and north-facing slope than other LULC types, altitudinal zones, and aspect directions.
Conclusions
This study shows that POC and HOC respond differently to various LULC types and landform attributes depicting their unique interrelationships with the environmental attributes. Therefore, this has implications on land management practices to maintain optimum levels of both POC and HOC under different LULC types to enhance sustainable agriculture, ecosystem services, and C sequestration.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11368-015-1088-4</doi><tpages>16</tpages></addata></record> |
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| subjects | Agricultural ecosystems Agricultural land Altitude Biogeochemistry Carbon Earth and Environmental Science Ecosystem services Environment Environmental factors Environmental Physics Grasslands Land management Land use Montane environments Mountain ecosystems Mountains Ordination Particulate organic carbon Sec 1 • Soil Organic Matter Dynamics and Nutrient Cycling • Research Article Shrublands Soil Science & Conservation Soils Sustainable agriculture Terrestrial ecosystems |
| title | Elucidating the complex interrelationships of soil organic carbon fractions with land use/land cover types and landform attributes in a montane ecosystem |
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