Pedoenvironmental indicators of soil in Western Amazonia, Brazil
This study aimed to ascertain what soil attributes may be an indicator of natural and anthropic pedogenic changes in top grassland (TG), low grassland (LG), ecotone zone (EZ), and forest (F) in Western Amazonia. Twenty samples of the diagnostic horizons were collected from the studied pedoenvironmen...
Gespeichert in:
| Veröffentlicht in: | Environmental monitoring and assessment 2020-12, Vol.192 (12), p.768, Article 768 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 12 |
| container_start_page | 768 |
| container_title | Environmental monitoring and assessment |
| container_volume | 192 |
| creator | de Oliveira, Ivanildo Amorim Campos, Milton César Costa Siqueira, Diego Silva de Freitas, Ludmila de Aquino, Renato Eleotério de Oliveira, Flavio Pereira |
| description | This study aimed to ascertain what soil attributes may be an indicator of natural and anthropic pedogenic changes in top grassland (TG), low grassland (LG), ecotone zone (EZ), and forest (F) in Western Amazonia. Twenty samples of the diagnostic horizons were collected from the studied pedoenvironments: TG (A 0.0–14 and B
i
0.30–0.66 m); LG (A 0.0–0.15 and C
g1
0.27–0.80 m); EZ (A 0.0–0.15 and B
i
0.32–0.50 m); and forest (F) (A1 0.0–0.15 and B
t1
0.67–0.10 m). Sand, silt, clay, particle density (PD),soil bulk density (BD),saturated soil hydraulic conductivity, calcium (Ca), magnesium (Mg), exchangeable aluminum (Al
3+
), potassium (K), sodium (Na), phosphorus (P), pH in water and KCl, and organic matter (OM) contents were calculated and submitted to variance analysis. LG is more related to OM and clay than SHC value. These same attributes characterized TG. EZ is highlighted by its higher values and relationship with Al and K. It was concluded that for TG, LG, EZ, and F top soil layers, 28% of natural and anthropic changes can be identified based on sand, clay, pH in KCl, and OM data; on the other hand, subsurface 23% of determinations can be attributed to pH in H
2
O, Al, Na, and sand. |
| doi_str_mv | 10.1007/s10661-020-08757-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2473253395</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2473253395</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-aa1160ab93419d16cfc570309d2f0d3bc2dc23b9e45e067a80d023057dbe0e0f3</originalsourceid><addsrcrecordid>eNp9kE1LAzEQhoMotlb_gAdZ8OrqJNkkzc22-AUFPSgeQ3aTlS3dpCZbwf56U7fqzdPAzDPvDA9CpxguMYC4ihg4xzkQyGEsmMj5HhpiJmhOJJP7aAiYpyblcoCOYlwAgBSFPEQDSglmCRqi6ydrvHUfTfCuta7Ty6xxpql050PMfJ1F32xb2auNnQ0um7R6412jL7Jp0JtmeYwOar2M9mRXR-jl9uZ5dp_PH-8eZpN5XlHBulxrjDnoUtICS4N5VVdMAAVpSA2GlhUxFaGltAWzwIUegwFCgQlTWrBQ0xE673NXwb-v0zNq4dfBpZOKFIISRqlkiSI9VQUfY7C1WoWm1eFTYVBbaaqXppI09S1N8bR0totel601vys_lhJAeyCmkXuz4e_2P7FfakN2sA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2473253395</pqid></control><display><type>article</type><title>Pedoenvironmental indicators of soil in Western Amazonia, Brazil</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>de Oliveira, Ivanildo Amorim ; Campos, Milton César Costa ; Siqueira, Diego Silva ; de Freitas, Ludmila ; de Aquino, Renato Eleotério ; de Oliveira, Flavio Pereira</creator><creatorcontrib>de Oliveira, Ivanildo Amorim ; Campos, Milton César Costa ; Siqueira, Diego Silva ; de Freitas, Ludmila ; de Aquino, Renato Eleotério ; de Oliveira, Flavio Pereira</creatorcontrib><description>This study aimed to ascertain what soil attributes may be an indicator of natural and anthropic pedogenic changes in top grassland (TG), low grassland (LG), ecotone zone (EZ), and forest (F) in Western Amazonia. Twenty samples of the diagnostic horizons were collected from the studied pedoenvironments: TG (A 0.0–14 and B
i
0.30–0.66 m); LG (A 0.0–0.15 and C
g1
0.27–0.80 m); EZ (A 0.0–0.15 and B
i
0.32–0.50 m); and forest (F) (A1 0.0–0.15 and B
t1
0.67–0.10 m). Sand, silt, clay, particle density (PD),soil bulk density (BD),saturated soil hydraulic conductivity, calcium (Ca), magnesium (Mg), exchangeable aluminum (Al
3+
), potassium (K), sodium (Na), phosphorus (P), pH in water and KCl, and organic matter (OM) contents were calculated and submitted to variance analysis. LG is more related to OM and clay than SHC value. These same attributes characterized TG. EZ is highlighted by its higher values and relationship with Al and K. It was concluded that for TG, LG, EZ, and F top soil layers, 28% of natural and anthropic changes can be identified based on sand, clay, pH in KCl, and OM data; on the other hand, subsurface 23% of determinations can be attributed to pH in H
2
O, Al, Na, and sand.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-020-08757-6</identifier><identifier>PMID: 33215295</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Aluminium ; Aluminum ; Atmospheric Protection/Air Quality Control/Air Pollution ; Bismuth ; Brazil ; Bulk density ; Calcium ; Clay ; Clay soils ; Diagnostic systems ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Eigenvalues ; Environment ; Environmental Management ; Environmental Monitoring ; Environmental science ; Forests ; Grasslands ; Habitat selection ; Hydraulic conductivity ; Hydraulics ; Magnesium ; Monitoring/Environmental Analysis ; Organic matter ; Organic phosphorus ; Particle density (concentration) ; pH effects ; Phosphorus ; Potassium ; Potassium chloride ; Sand ; Saturated soils ; Sodium ; Soil ; Soil conductivity ; Soil density ; Soil layers ; Variance analysis</subject><ispartof>Environmental monitoring and assessment, 2020-12, Vol.192 (12), p.768, Article 768</ispartof><rights>Springer Nature Switzerland AG 2020</rights><rights>Springer Nature Switzerland AG 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-aa1160ab93419d16cfc570309d2f0d3bc2dc23b9e45e067a80d023057dbe0e0f3</citedby><cites>FETCH-LOGICAL-c375t-aa1160ab93419d16cfc570309d2f0d3bc2dc23b9e45e067a80d023057dbe0e0f3</cites><orcidid>0000-0002-8183-7069</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/s10661-020-08757-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-020-08757-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33215295$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Oliveira, Ivanildo Amorim</creatorcontrib><creatorcontrib>Campos, Milton César Costa</creatorcontrib><creatorcontrib>Siqueira, Diego Silva</creatorcontrib><creatorcontrib>de Freitas, Ludmila</creatorcontrib><creatorcontrib>de Aquino, Renato Eleotério</creatorcontrib><creatorcontrib>de Oliveira, Flavio Pereira</creatorcontrib><title>Pedoenvironmental indicators of soil in Western Amazonia, Brazil</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>This study aimed to ascertain what soil attributes may be an indicator of natural and anthropic pedogenic changes in top grassland (TG), low grassland (LG), ecotone zone (EZ), and forest (F) in Western Amazonia. Twenty samples of the diagnostic horizons were collected from the studied pedoenvironments: TG (A 0.0–14 and B
i
0.30–0.66 m); LG (A 0.0–0.15 and C
g1
0.27–0.80 m); EZ (A 0.0–0.15 and B
i
0.32–0.50 m); and forest (F) (A1 0.0–0.15 and B
t1
0.67–0.10 m). Sand, silt, clay, particle density (PD),soil bulk density (BD),saturated soil hydraulic conductivity, calcium (Ca), magnesium (Mg), exchangeable aluminum (Al
3+
), potassium (K), sodium (Na), phosphorus (P), pH in water and KCl, and organic matter (OM) contents were calculated and submitted to variance analysis. LG is more related to OM and clay than SHC value. These same attributes characterized TG. EZ is highlighted by its higher values and relationship with Al and K. It was concluded that for TG, LG, EZ, and F top soil layers, 28% of natural and anthropic changes can be identified based on sand, clay, pH in KCl, and OM data; on the other hand, subsurface 23% of determinations can be attributed to pH in H
2
O, Al, Na, and sand.</description><subject>Aluminium</subject><subject>Aluminum</subject><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Bismuth</subject><subject>Brazil</subject><subject>Bulk density</subject><subject>Calcium</subject><subject>Clay</subject><subject>Clay soils</subject><subject>Diagnostic systems</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Eigenvalues</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Environmental science</subject><subject>Forests</subject><subject>Grasslands</subject><subject>Habitat selection</subject><subject>Hydraulic conductivity</subject><subject>Hydraulics</subject><subject>Magnesium</subject><subject>Monitoring/Environmental Analysis</subject><subject>Organic matter</subject><subject>Organic phosphorus</subject><subject>Particle density (concentration)</subject><subject>pH effects</subject><subject>Phosphorus</subject><subject>Potassium</subject><subject>Potassium chloride</subject><subject>Sand</subject><subject>Saturated soils</subject><subject>Sodium</subject><subject>Soil</subject><subject>Soil conductivity</subject><subject>Soil density</subject><subject>Soil layers</subject><subject>Variance analysis</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kE1LAzEQhoMotlb_gAdZ8OrqJNkkzc22-AUFPSgeQ3aTlS3dpCZbwf56U7fqzdPAzDPvDA9CpxguMYC4ihg4xzkQyGEsmMj5HhpiJmhOJJP7aAiYpyblcoCOYlwAgBSFPEQDSglmCRqi6ydrvHUfTfCuta7Ty6xxpql050PMfJ1F32xb2auNnQ0um7R6412jL7Jp0JtmeYwOar2M9mRXR-jl9uZ5dp_PH-8eZpN5XlHBulxrjDnoUtICS4N5VVdMAAVpSA2GlhUxFaGltAWzwIUegwFCgQlTWrBQ0xE673NXwb-v0zNq4dfBpZOKFIISRqlkiSI9VQUfY7C1WoWm1eFTYVBbaaqXppI09S1N8bR0totel601vys_lhJAeyCmkXuz4e_2P7FfakN2sA</recordid><startdate>20201201</startdate><enddate>20201201</enddate><creator>de Oliveira, Ivanildo Amorim</creator><creator>Campos, Milton César Costa</creator><creator>Siqueira, Diego Silva</creator><creator>de Freitas, Ludmila</creator><creator>de Aquino, Renato Eleotério</creator><creator>de Oliveira, Flavio Pereira</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>K9.</scope><scope>KL.</scope><scope>L.-</scope><scope>L.G</scope><scope>M0C</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>P64</scope><scope>PATMY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-8183-7069</orcidid></search><sort><creationdate>20201201</creationdate><title>Pedoenvironmental indicators of soil in Western Amazonia, Brazil</title><author>de Oliveira, Ivanildo Amorim ; Campos, Milton César Costa ; Siqueira, Diego Silva ; de Freitas, Ludmila ; de Aquino, Renato Eleotério ; de Oliveira, Flavio Pereira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-aa1160ab93419d16cfc570309d2f0d3bc2dc23b9e45e067a80d023057dbe0e0f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aluminium</topic><topic>Aluminum</topic><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Bismuth</topic><topic>Brazil</topic><topic>Bulk density</topic><topic>Calcium</topic><topic>Clay</topic><topic>Clay soils</topic><topic>Diagnostic systems</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Ecotoxicology</topic><topic>Eigenvalues</topic><topic>Environment</topic><topic>Environmental Management</topic><topic>Environmental Monitoring</topic><topic>Environmental science</topic><topic>Forests</topic><topic>Grasslands</topic><topic>Habitat selection</topic><topic>Hydraulic conductivity</topic><topic>Hydraulics</topic><topic>Magnesium</topic><topic>Monitoring/Environmental Analysis</topic><topic>Organic matter</topic><topic>Organic phosphorus</topic><topic>Particle density (concentration)</topic><topic>pH effects</topic><topic>Phosphorus</topic><topic>Potassium</topic><topic>Potassium chloride</topic><topic>Sand</topic><topic>Saturated soils</topic><topic>Sodium</topic><topic>Soil</topic><topic>Soil conductivity</topic><topic>Soil density</topic><topic>Soil layers</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Oliveira, Ivanildo Amorim</creatorcontrib><creatorcontrib>Campos, Milton César Costa</creatorcontrib><creatorcontrib>Siqueira, Diego Silva</creatorcontrib><creatorcontrib>de Freitas, Ludmila</creatorcontrib><creatorcontrib>de Aquino, Renato Eleotério</creatorcontrib><creatorcontrib>de Oliveira, Flavio Pereira</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Natural 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>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ABI/INFORM Global</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</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>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Oliveira, Ivanildo Amorim</au><au>Campos, Milton César Costa</au><au>Siqueira, Diego Silva</au><au>de Freitas, Ludmila</au><au>de Aquino, Renato Eleotério</au><au>de Oliveira, Flavio Pereira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pedoenvironmental indicators of soil in Western Amazonia, Brazil</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>192</volume><issue>12</issue><spage>768</spage><pages>768-</pages><artnum>768</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>This study aimed to ascertain what soil attributes may be an indicator of natural and anthropic pedogenic changes in top grassland (TG), low grassland (LG), ecotone zone (EZ), and forest (F) in Western Amazonia. Twenty samples of the diagnostic horizons were collected from the studied pedoenvironments: TG (A 0.0–14 and B
i
0.30–0.66 m); LG (A 0.0–0.15 and C
g1
0.27–0.80 m); EZ (A 0.0–0.15 and B
i
0.32–0.50 m); and forest (F) (A1 0.0–0.15 and B
t1
0.67–0.10 m). Sand, silt, clay, particle density (PD),soil bulk density (BD),saturated soil hydraulic conductivity, calcium (Ca), magnesium (Mg), exchangeable aluminum (Al
3+
), potassium (K), sodium (Na), phosphorus (P), pH in water and KCl, and organic matter (OM) contents were calculated and submitted to variance analysis. LG is more related to OM and clay than SHC value. These same attributes characterized TG. EZ is highlighted by its higher values and relationship with Al and K. It was concluded that for TG, LG, EZ, and F top soil layers, 28% of natural and anthropic changes can be identified based on sand, clay, pH in KCl, and OM data; on the other hand, subsurface 23% of determinations can be attributed to pH in H
2
O, Al, Na, and sand.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>33215295</pmid><doi>10.1007/s10661-020-08757-6</doi><orcidid>https://orcid.org/0000-0002-8183-7069</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0167-6369 |
| ispartof | Environmental monitoring and assessment, 2020-12, Vol.192 (12), p.768, Article 768 |
| issn | 0167-6369 1573-2959 |
| language | eng |
| recordid | cdi_proquest_journals_2473253395 |
| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Aluminium Aluminum Atmospheric Protection/Air Quality Control/Air Pollution Bismuth Brazil Bulk density Calcium Clay Clay soils Diagnostic systems Earth and Environmental Science Ecology Ecotoxicology Eigenvalues Environment Environmental Management Environmental Monitoring Environmental science Forests Grasslands Habitat selection Hydraulic conductivity Hydraulics Magnesium Monitoring/Environmental Analysis Organic matter Organic phosphorus Particle density (concentration) pH effects Phosphorus Potassium Potassium chloride Sand Saturated soils Sodium Soil Soil conductivity Soil density Soil layers Variance analysis |
| title | Pedoenvironmental indicators of soil in Western Amazonia, Brazil |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T17%3A04%3A05IST&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=Pedoenvironmental%20indicators%20of%20soil%20in%20Western%20Amazonia,%20Brazil&rft.jtitle=Environmental%20monitoring%20and%20assessment&rft.au=de%20Oliveira,%20Ivanildo%20Amorim&rft.date=2020-12-01&rft.volume=192&rft.issue=12&rft.spage=768&rft.pages=768-&rft.artnum=768&rft.issn=0167-6369&rft.eissn=1573-2959&rft_id=info:doi/10.1007/s10661-020-08757-6&rft_dat=%3Cproquest_cross%3E2473253395%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=2473253395&rft_id=info:pmid/33215295&rfr_iscdi=true |