The Dependence of the Productivity of Pine Forests of Moscow Experimental Forestry on Soil Conditions
We have studied the effect of soil conditions on the productivity (site index) of pine forests in the zone of coniferous–broad-leaved forests. The research object is natural pine forests of different productivities related to the effect of soil and ground factors. The research is performed in northe...
Gespeichert in:
Veröffentlicht in: | Contemporary problems of ecology 2018-12, Vol.11 (7), p.807-812 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 812 |
---|---|
container_issue | 7 |
container_start_page | 807 |
container_title | Contemporary problems of ecology |
container_volume | 11 |
creator | Martynenko, O. V. Karminov, V. N. Shchepashchenko, D. G. Ontikov, P. V. |
description | We have studied the effect of soil conditions on the productivity (site index) of pine forests in the zone of coniferous–broad-leaved forests. The research object is natural pine forests of different productivities related to the effect of soil and ground factors. The research is performed in northeastern Moscow oblast at the Sverdlovsk branch of the Moscow educational–experimental forestry. It is revealed that it is the main soil properties that determine the site index of the studied pine forests, include groundwater level, the thickness of the ungleyed mineral part of soil profile, and humus reserves in the mineral part of soil. Gleying rate, the depth of the gley horizon, the thickness of the organic horizon, and the occurrence of ortsteins and iron-manganese concretions are the most important soil indicators of the water regime, which is closely related to forest productivity (site index). The cluster analysis has enabled us to assign the soil varieties to five groups with respect to their productivity and taxonomic position. These informative soil properties should be included into forest GIS and taken into account when planning forestry measures. The diagnostic model may be used in assessing the potential productivity of forest soils and elaborating measures for the rational use of forest lands. |
doi_str_mv | 10.1134/S1995425518070120 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2171995110</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2171995110</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-c1e7cbfb1765ebadd6a7ed2db298e8c1e253eadad5d6a2047e238d03b01f270a3</originalsourceid><addsrcrecordid>eNp1UEtPwzAMjhBIjMEP4BaJcyFOmqY9ojEe0hCTNs5V2rjQaSQl6YD9e1JtggPiZPt7OPFHyDmwSwCRXi2gKGTKpYScKQacHZDRACUpz8ThTy_lMTkJYcVYJgspRgSXr0hvsENr0NZIXUP7iMy9M5u6bz_afjtg89YivXUeQx-G-dGF2n3S6VeHvn1D2-v1nvZRb-nCtWs6cda0fetsOCVHjV4HPNvXMXm-nS4n98ns6e5hcj1LagFZn9SAqq6aClQmsdLGZFqh4abiRY55ZLkUqI02MjKcpQq5yA0TFYOGK6bFmFzs9nbevW_ib8qV23gbnyw5qCEDABZVsFPV3oXgsSm7eIT22xJYOaRZ_kkzevjOE6LWvqD_3fy_6RuatHfY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2171995110</pqid></control><display><type>article</type><title>The Dependence of the Productivity of Pine Forests of Moscow Experimental Forestry on Soil Conditions</title><source>SpringerLink Journals</source><creator>Martynenko, O. V. ; Karminov, V. N. ; Shchepashchenko, D. G. ; Ontikov, P. V.</creator><creatorcontrib>Martynenko, O. V. ; Karminov, V. N. ; Shchepashchenko, D. G. ; Ontikov, P. V.</creatorcontrib><description>We have studied the effect of soil conditions on the productivity (site index) of pine forests in the zone of coniferous–broad-leaved forests. The research object is natural pine forests of different productivities related to the effect of soil and ground factors. The research is performed in northeastern Moscow oblast at the Sverdlovsk branch of the Moscow educational–experimental forestry. It is revealed that it is the main soil properties that determine the site index of the studied pine forests, include groundwater level, the thickness of the ungleyed mineral part of soil profile, and humus reserves in the mineral part of soil. Gleying rate, the depth of the gley horizon, the thickness of the organic horizon, and the occurrence of ortsteins and iron-manganese concretions are the most important soil indicators of the water regime, which is closely related to forest productivity (site index). The cluster analysis has enabled us to assign the soil varieties to five groups with respect to their productivity and taxonomic position. These informative soil properties should be included into forest GIS and taken into account when planning forestry measures. The diagnostic model may be used in assessing the potential productivity of forest soils and elaborating measures for the rational use of forest lands.</description><identifier>ISSN: 1995-4255</identifier><identifier>EISSN: 1995-4263</identifier><identifier>DOI: 10.1134/S1995425518070120</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Biomedical and Life Sciences ; Cluster analysis ; Concretions ; Coniferous forests ; Decomposing organic matter ; Dependence ; Diagnostic systems ; Ecology ; Forest productivity ; Forest soils ; Forestry ; Forests ; Groundwater ; Groundwater levels ; Horizon ; Humus ; Life Sciences ; Manganese ; Pine ; Productivity ; Site index ; Soil conditions ; Soil profiles ; Soil properties ; Soil water ; Thickness</subject><ispartof>Contemporary problems of ecology, 2018-12, Vol.11 (7), p.807-812</ispartof><rights>Pleiades Publishing, Ltd. 2018</rights><rights>Contemporary Problems of Ecology is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-c1e7cbfb1765ebadd6a7ed2db298e8c1e253eadad5d6a2047e238d03b01f270a3</citedby><cites>FETCH-LOGICAL-c316t-c1e7cbfb1765ebadd6a7ed2db298e8c1e253eadad5d6a2047e238d03b01f270a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1995425518070120$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1995425518070120$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Martynenko, O. V.</creatorcontrib><creatorcontrib>Karminov, V. N.</creatorcontrib><creatorcontrib>Shchepashchenko, D. G.</creatorcontrib><creatorcontrib>Ontikov, P. V.</creatorcontrib><title>The Dependence of the Productivity of Pine Forests of Moscow Experimental Forestry on Soil Conditions</title><title>Contemporary problems of ecology</title><addtitle>Contemp. Probl. Ecol</addtitle><description>We have studied the effect of soil conditions on the productivity (site index) of pine forests in the zone of coniferous–broad-leaved forests. The research object is natural pine forests of different productivities related to the effect of soil and ground factors. The research is performed in northeastern Moscow oblast at the Sverdlovsk branch of the Moscow educational–experimental forestry. It is revealed that it is the main soil properties that determine the site index of the studied pine forests, include groundwater level, the thickness of the ungleyed mineral part of soil profile, and humus reserves in the mineral part of soil. Gleying rate, the depth of the gley horizon, the thickness of the organic horizon, and the occurrence of ortsteins and iron-manganese concretions are the most important soil indicators of the water regime, which is closely related to forest productivity (site index). The cluster analysis has enabled us to assign the soil varieties to five groups with respect to their productivity and taxonomic position. These informative soil properties should be included into forest GIS and taken into account when planning forestry measures. The diagnostic model may be used in assessing the potential productivity of forest soils and elaborating measures for the rational use of forest lands.</description><subject>Biomedical and Life Sciences</subject><subject>Cluster analysis</subject><subject>Concretions</subject><subject>Coniferous forests</subject><subject>Decomposing organic matter</subject><subject>Dependence</subject><subject>Diagnostic systems</subject><subject>Ecology</subject><subject>Forest productivity</subject><subject>Forest soils</subject><subject>Forestry</subject><subject>Forests</subject><subject>Groundwater</subject><subject>Groundwater levels</subject><subject>Horizon</subject><subject>Humus</subject><subject>Life Sciences</subject><subject>Manganese</subject><subject>Pine</subject><subject>Productivity</subject><subject>Site index</subject><subject>Soil conditions</subject><subject>Soil profiles</subject><subject>Soil properties</subject><subject>Soil water</subject><subject>Thickness</subject><issn>1995-4255</issn><issn>1995-4263</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1UEtPwzAMjhBIjMEP4BaJcyFOmqY9ojEe0hCTNs5V2rjQaSQl6YD9e1JtggPiZPt7OPFHyDmwSwCRXi2gKGTKpYScKQacHZDRACUpz8ThTy_lMTkJYcVYJgspRgSXr0hvsENr0NZIXUP7iMy9M5u6bz_afjtg89YivXUeQx-G-dGF2n3S6VeHvn1D2-v1nvZRb-nCtWs6cda0fetsOCVHjV4HPNvXMXm-nS4n98ns6e5hcj1LagFZn9SAqq6aClQmsdLGZFqh4abiRY55ZLkUqI02MjKcpQq5yA0TFYOGK6bFmFzs9nbevW_ib8qV23gbnyw5qCEDABZVsFPV3oXgsSm7eIT22xJYOaRZ_kkzevjOE6LWvqD_3fy_6RuatHfY</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Martynenko, O. V.</creator><creator>Karminov, V. N.</creator><creator>Shchepashchenko, D. G.</creator><creator>Ontikov, P. V.</creator><general>Pleiades Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7SS</scope><scope>C1K</scope></search><sort><creationdate>20181201</creationdate><title>The Dependence of the Productivity of Pine Forests of Moscow Experimental Forestry on Soil Conditions</title><author>Martynenko, O. V. ; Karminov, V. N. ; Shchepashchenko, D. G. ; Ontikov, P. V.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-c1e7cbfb1765ebadd6a7ed2db298e8c1e253eadad5d6a2047e238d03b01f270a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biomedical and Life Sciences</topic><topic>Cluster analysis</topic><topic>Concretions</topic><topic>Coniferous forests</topic><topic>Decomposing organic matter</topic><topic>Dependence</topic><topic>Diagnostic systems</topic><topic>Ecology</topic><topic>Forest productivity</topic><topic>Forest soils</topic><topic>Forestry</topic><topic>Forests</topic><topic>Groundwater</topic><topic>Groundwater levels</topic><topic>Horizon</topic><topic>Humus</topic><topic>Life Sciences</topic><topic>Manganese</topic><topic>Pine</topic><topic>Productivity</topic><topic>Site index</topic><topic>Soil conditions</topic><topic>Soil profiles</topic><topic>Soil properties</topic><topic>Soil water</topic><topic>Thickness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martynenko, O. V.</creatorcontrib><creatorcontrib>Karminov, V. N.</creatorcontrib><creatorcontrib>Shchepashchenko, D. G.</creatorcontrib><creatorcontrib>Ontikov, P. V.</creatorcontrib><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Contemporary problems of ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martynenko, O. V.</au><au>Karminov, V. N.</au><au>Shchepashchenko, D. G.</au><au>Ontikov, P. V.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Dependence of the Productivity of Pine Forests of Moscow Experimental Forestry on Soil Conditions</atitle><jtitle>Contemporary problems of ecology</jtitle><stitle>Contemp. Probl. Ecol</stitle><date>2018-12-01</date><risdate>2018</risdate><volume>11</volume><issue>7</issue><spage>807</spage><epage>812</epage><pages>807-812</pages><issn>1995-4255</issn><eissn>1995-4263</eissn><abstract>We have studied the effect of soil conditions on the productivity (site index) of pine forests in the zone of coniferous–broad-leaved forests. The research object is natural pine forests of different productivities related to the effect of soil and ground factors. The research is performed in northeastern Moscow oblast at the Sverdlovsk branch of the Moscow educational–experimental forestry. It is revealed that it is the main soil properties that determine the site index of the studied pine forests, include groundwater level, the thickness of the ungleyed mineral part of soil profile, and humus reserves in the mineral part of soil. Gleying rate, the depth of the gley horizon, the thickness of the organic horizon, and the occurrence of ortsteins and iron-manganese concretions are the most important soil indicators of the water regime, which is closely related to forest productivity (site index). The cluster analysis has enabled us to assign the soil varieties to five groups with respect to their productivity and taxonomic position. These informative soil properties should be included into forest GIS and taken into account when planning forestry measures. The diagnostic model may be used in assessing the potential productivity of forest soils and elaborating measures for the rational use of forest lands.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1995425518070120</doi><tpages>6</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1995-4255 |
ispartof | Contemporary problems of ecology, 2018-12, Vol.11 (7), p.807-812 |
issn | 1995-4255 1995-4263 |
language | eng |
recordid | cdi_proquest_journals_2171995110 |
source | SpringerLink Journals |
subjects | Biomedical and Life Sciences Cluster analysis Concretions Coniferous forests Decomposing organic matter Dependence Diagnostic systems Ecology Forest productivity Forest soils Forestry Forests Groundwater Groundwater levels Horizon Humus Life Sciences Manganese Pine Productivity Site index Soil conditions Soil profiles Soil properties Soil water Thickness |
title | The Dependence of the Productivity of Pine Forests of Moscow Experimental Forestry on Soil Conditions |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T12%3A20%3A23IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20Dependence%20of%20the%20Productivity%20of%20Pine%20Forests%20of%20Moscow%20Experimental%20Forestry%20on%20Soil%20Conditions&rft.jtitle=Contemporary%20problems%20of%20ecology&rft.au=Martynenko,%20O.%20V.&rft.date=2018-12-01&rft.volume=11&rft.issue=7&rft.spage=807&rft.epage=812&rft.pages=807-812&rft.issn=1995-4255&rft.eissn=1995-4263&rft_id=info:doi/10.1134/S1995425518070120&rft_dat=%3Cproquest_cross%3E2171995110%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2171995110&rft_id=info:pmid/&rfr_iscdi=true |