Land use and land cover change dynamics across the Brazilian Amazon: insights from extensive time-series analysis of remote sensing data
Throughout the Amazon region, the age of forests regenerating on previously deforested land is determined, in part, by the periods of active land use prior to abandonment and the frequency of reclearance of regrowth, both of which can be quantified by comparing time-series of Landsat sensor data. Us...
Gespeichert in:
Veröffentlicht in: | PloS one 2014-08, Vol.9 (8), p.e104144-e104144 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | e104144 |
---|---|
container_issue | 8 |
container_start_page | e104144 |
container_title | PloS one |
container_volume | 9 |
creator | Carreiras, João M B Jones, Joshua Lucas, Richard M Gabriel, Cristina |
description | Throughout the Amazon region, the age of forests regenerating on previously deforested land is determined, in part, by the periods of active land use prior to abandonment and the frequency of reclearance of regrowth, both of which can be quantified by comparing time-series of Landsat sensor data. Using these time-series of near annual data from 1973-2011 for an area north of Manaus (in Amazonas state), from 1984-2010 for south of Santarém (Pará state) and 1984-2011 near Machadinho d'Oeste (Rondônia state), the changes in the area of primary forest, non-forest and secondary forest were documented from which the age of regenerating forests, periods of active land use and the frequency of forest reclearance were derived. At Manaus, and at the end of the time-series, over 50% of regenerating forests were older than 16 years, whilst at Santarém and Machadinho d'Oeste, 57% and 41% of forests respectively were aged 6-15 years, with the remainder being mostly younger forests. These differences were attributed to the time since deforestation commenced but also the greater frequencies of reclearance of forests at the latter two sites with short periods of use in the intervening periods. The majority of clearance for agriculture was also found outside of protected areas. The study suggested that a) the history of clearance and land use should be taken into account when protecting deforested land for the purpose of restoring both tree species diversity and biomass through natural regeneration and b) a greater proportion of the forested landscape should be placed under protection, including areas of regrowth. |
doi_str_mv | 10.1371/journal.pone.0104144 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1551695449</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A418707456</galeid><doaj_id>oai_doaj_org_article_15b3a5791d1f4c4ebd06c973cda4e5f0</doaj_id><sourcerecordid>A418707456</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-90e067e23769edc2b7fad111288843dc7da8d4c7eb01e8d76efa357abe85f8d03</originalsourceid><addsrcrecordid>eNqNk21rFDEQxxdRbK1-A9GAIPrizmSTffKFUIsPhYOCT2_DXDK7l2M3aZPsYfsJ_Nhm22u5k76QwGaZ_OY_k8lMlj1ndM54xd6t3egt9PNzZ3FOGRVMiAfZIWt4Pitzyh_u_B9kT0JYU1rwuiwfZwd5QZuGl_lh9mcBVpMxIJn2fvoot0FP1Apsh0RfWhiMCgSUdyGQuELy0cOV6Q1YcjzAlbPvibHBdKsYSOvdQPB3xGTYIIlmwFlAbzAJpGQvgwnEtcTj4CKSMGG2IxoiPM0etdAHfLbdj7Kfnz_9OPk6W5x9OT05XsxU2eRx1lCkZYU5r8oGtcqXVQuaMZbXdS24VpWGWgtV4ZIyrHVVYgu8qGCJddHWmvKj7OWN7nnvgtwWMUhWFKxsCiGaRJzeENrBWp57M4C_lA6MvDY430nw0agek9eSQ1E1TLNWKIFLTUvVVFxpEFi0U7QP22jjckj5oo0e-j3R_RNrVrJzGylYzhtRJoE3WwHvLkYMUQ4mKOzTS6Ebr_NOtahFnif01T_o_bfbUh2kCxjbuhRXTaLyWLC6opUoprDze6i0NKZuSB3XmmTfc3i755CYmPqggzEEefr92_-zZ7_22dc77Aqhj6vg-jEaZ8M-KG7A6z712N4VmVE5DcxtNeQ0MHI7MMntxe4D3TndTgj_C8h7EtA</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1551695449</pqid></control><display><type>article</type><title>Land use and land cover change dynamics across the Brazilian Amazon: insights from extensive time-series analysis of remote sensing data</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Carreiras, João M B ; Jones, Joshua ; Lucas, Richard M ; Gabriel, Cristina</creator><contributor>Hérault, Bruno</contributor><creatorcontrib>Carreiras, João M B ; Jones, Joshua ; Lucas, Richard M ; Gabriel, Cristina ; Hérault, Bruno</creatorcontrib><description>Throughout the Amazon region, the age of forests regenerating on previously deforested land is determined, in part, by the periods of active land use prior to abandonment and the frequency of reclearance of regrowth, both of which can be quantified by comparing time-series of Landsat sensor data. Using these time-series of near annual data from 1973-2011 for an area north of Manaus (in Amazonas state), from 1984-2010 for south of Santarém (Pará state) and 1984-2011 near Machadinho d'Oeste (Rondônia state), the changes in the area of primary forest, non-forest and secondary forest were documented from which the age of regenerating forests, periods of active land use and the frequency of forest reclearance were derived. At Manaus, and at the end of the time-series, over 50% of regenerating forests were older than 16 years, whilst at Santarém and Machadinho d'Oeste, 57% and 41% of forests respectively were aged 6-15 years, with the remainder being mostly younger forests. These differences were attributed to the time since deforestation commenced but also the greater frequencies of reclearance of forests at the latter two sites with short periods of use in the intervening periods. The majority of clearance for agriculture was also found outside of protected areas. The study suggested that a) the history of clearance and land use should be taken into account when protecting deforested land for the purpose of restoring both tree species diversity and biomass through natural regeneration and b) a greater proportion of the forested landscape should be placed under protection, including areas of regrowth.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0104144</identifier><identifier>PMID: 25099362</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Abandonment ; Agriculture ; Analysis ; Atmosphere ; Biodiversity ; Biology and Life Sciences ; Biomass ; Brazil ; Carbon ; Climate change ; Computer and Information Sciences ; Conservation of Natural Resources ; Deforestation ; Earth science ; Earth Sciences ; Ecology ; Ecology and Environmental Sciences ; Forests ; Land cover ; Land use ; Land use controls ; Landsat ; Landsat satellites ; Plant diversity ; Plant species ; Protected areas ; Rainforests ; Regeneration ; Regrowth ; Remote sensing ; Species diversity ; Time Factors ; Time series ; Trees</subject><ispartof>PloS one, 2014-08, Vol.9 (8), p.e104144-e104144</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Carreiras et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Carreiras et al 2014 Carreiras et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-90e067e23769edc2b7fad111288843dc7da8d4c7eb01e8d76efa357abe85f8d03</citedby><cites>FETCH-LOGICAL-c692t-90e067e23769edc2b7fad111288843dc7da8d4c7eb01e8d76efa357abe85f8d03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4123946/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4123946/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25099362$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Hérault, Bruno</contributor><creatorcontrib>Carreiras, João M B</creatorcontrib><creatorcontrib>Jones, Joshua</creatorcontrib><creatorcontrib>Lucas, Richard M</creatorcontrib><creatorcontrib>Gabriel, Cristina</creatorcontrib><title>Land use and land cover change dynamics across the Brazilian Amazon: insights from extensive time-series analysis of remote sensing data</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Throughout the Amazon region, the age of forests regenerating on previously deforested land is determined, in part, by the periods of active land use prior to abandonment and the frequency of reclearance of regrowth, both of which can be quantified by comparing time-series of Landsat sensor data. Using these time-series of near annual data from 1973-2011 for an area north of Manaus (in Amazonas state), from 1984-2010 for south of Santarém (Pará state) and 1984-2011 near Machadinho d'Oeste (Rondônia state), the changes in the area of primary forest, non-forest and secondary forest were documented from which the age of regenerating forests, periods of active land use and the frequency of forest reclearance were derived. At Manaus, and at the end of the time-series, over 50% of regenerating forests were older than 16 years, whilst at Santarém and Machadinho d'Oeste, 57% and 41% of forests respectively were aged 6-15 years, with the remainder being mostly younger forests. These differences were attributed to the time since deforestation commenced but also the greater frequencies of reclearance of forests at the latter two sites with short periods of use in the intervening periods. The majority of clearance for agriculture was also found outside of protected areas. The study suggested that a) the history of clearance and land use should be taken into account when protecting deforested land for the purpose of restoring both tree species diversity and biomass through natural regeneration and b) a greater proportion of the forested landscape should be placed under protection, including areas of regrowth.</description><subject>Abandonment</subject><subject>Agriculture</subject><subject>Analysis</subject><subject>Atmosphere</subject><subject>Biodiversity</subject><subject>Biology and Life Sciences</subject><subject>Biomass</subject><subject>Brazil</subject><subject>Carbon</subject><subject>Climate change</subject><subject>Computer and Information Sciences</subject><subject>Conservation of Natural Resources</subject><subject>Deforestation</subject><subject>Earth science</subject><subject>Earth Sciences</subject><subject>Ecology</subject><subject>Ecology and Environmental Sciences</subject><subject>Forests</subject><subject>Land cover</subject><subject>Land use</subject><subject>Land use controls</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Plant diversity</subject><subject>Plant species</subject><subject>Protected areas</subject><subject>Rainforests</subject><subject>Regeneration</subject><subject>Regrowth</subject><subject>Remote sensing</subject><subject>Species diversity</subject><subject>Time Factors</subject><subject>Time series</subject><subject>Trees</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk21rFDEQxxdRbK1-A9GAIPrizmSTffKFUIsPhYOCT2_DXDK7l2M3aZPsYfsJ_Nhm22u5k76QwGaZ_OY_k8lMlj1ndM54xd6t3egt9PNzZ3FOGRVMiAfZIWt4Pitzyh_u_B9kT0JYU1rwuiwfZwd5QZuGl_lh9mcBVpMxIJn2fvoot0FP1Apsh0RfWhiMCgSUdyGQuELy0cOV6Q1YcjzAlbPvibHBdKsYSOvdQPB3xGTYIIlmwFlAbzAJpGQvgwnEtcTj4CKSMGG2IxoiPM0etdAHfLbdj7Kfnz_9OPk6W5x9OT05XsxU2eRx1lCkZYU5r8oGtcqXVQuaMZbXdS24VpWGWgtV4ZIyrHVVYgu8qGCJddHWmvKj7OWN7nnvgtwWMUhWFKxsCiGaRJzeENrBWp57M4C_lA6MvDY430nw0agek9eSQ1E1TLNWKIFLTUvVVFxpEFi0U7QP22jjckj5oo0e-j3R_RNrVrJzGylYzhtRJoE3WwHvLkYMUQ4mKOzTS6Ebr_NOtahFnif01T_o_bfbUh2kCxjbuhRXTaLyWLC6opUoprDze6i0NKZuSB3XmmTfc3i755CYmPqggzEEefr92_-zZ7_22dc77Aqhj6vg-jEaZ8M-KG7A6z712N4VmVE5DcxtNeQ0MHI7MMntxe4D3TndTgj_C8h7EtA</recordid><startdate>20140806</startdate><enddate>20140806</enddate><creator>Carreiras, João M B</creator><creator>Jones, Joshua</creator><creator>Lucas, Richard M</creator><creator>Gabriel, Cristina</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140806</creationdate><title>Land use and land cover change dynamics across the Brazilian Amazon: insights from extensive time-series analysis of remote sensing data</title><author>Carreiras, João M B ; Jones, Joshua ; Lucas, Richard M ; Gabriel, Cristina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-90e067e23769edc2b7fad111288843dc7da8d4c7eb01e8d76efa357abe85f8d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Abandonment</topic><topic>Agriculture</topic><topic>Analysis</topic><topic>Atmosphere</topic><topic>Biodiversity</topic><topic>Biology and Life Sciences</topic><topic>Biomass</topic><topic>Brazil</topic><topic>Carbon</topic><topic>Climate change</topic><topic>Computer and Information Sciences</topic><topic>Conservation of Natural Resources</topic><topic>Deforestation</topic><topic>Earth science</topic><topic>Earth Sciences</topic><topic>Ecology</topic><topic>Ecology and Environmental Sciences</topic><topic>Forests</topic><topic>Land cover</topic><topic>Land use</topic><topic>Land use controls</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Plant diversity</topic><topic>Plant species</topic><topic>Protected areas</topic><topic>Rainforests</topic><topic>Regeneration</topic><topic>Regrowth</topic><topic>Remote sensing</topic><topic>Species diversity</topic><topic>Time Factors</topic><topic>Time series</topic><topic>Trees</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Carreiras, João M B</creatorcontrib><creatorcontrib>Jones, Joshua</creatorcontrib><creatorcontrib>Lucas, Richard M</creatorcontrib><creatorcontrib>Gabriel, Cristina</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Carreiras, João M B</au><au>Jones, Joshua</au><au>Lucas, Richard M</au><au>Gabriel, Cristina</au><au>Hérault, Bruno</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Land use and land cover change dynamics across the Brazilian Amazon: insights from extensive time-series analysis of remote sensing data</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-08-06</date><risdate>2014</risdate><volume>9</volume><issue>8</issue><spage>e104144</spage><epage>e104144</epage><pages>e104144-e104144</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Throughout the Amazon region, the age of forests regenerating on previously deforested land is determined, in part, by the periods of active land use prior to abandonment and the frequency of reclearance of regrowth, both of which can be quantified by comparing time-series of Landsat sensor data. Using these time-series of near annual data from 1973-2011 for an area north of Manaus (in Amazonas state), from 1984-2010 for south of Santarém (Pará state) and 1984-2011 near Machadinho d'Oeste (Rondônia state), the changes in the area of primary forest, non-forest and secondary forest were documented from which the age of regenerating forests, periods of active land use and the frequency of forest reclearance were derived. At Manaus, and at the end of the time-series, over 50% of regenerating forests were older than 16 years, whilst at Santarém and Machadinho d'Oeste, 57% and 41% of forests respectively were aged 6-15 years, with the remainder being mostly younger forests. These differences were attributed to the time since deforestation commenced but also the greater frequencies of reclearance of forests at the latter two sites with short periods of use in the intervening periods. The majority of clearance for agriculture was also found outside of protected areas. The study suggested that a) the history of clearance and land use should be taken into account when protecting deforested land for the purpose of restoring both tree species diversity and biomass through natural regeneration and b) a greater proportion of the forested landscape should be placed under protection, including areas of regrowth.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25099362</pmid><doi>10.1371/journal.pone.0104144</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2014-08, Vol.9 (8), p.e104144-e104144 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_1551695449 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Abandonment Agriculture Analysis Atmosphere Biodiversity Biology and Life Sciences Biomass Brazil Carbon Climate change Computer and Information Sciences Conservation of Natural Resources Deforestation Earth science Earth Sciences Ecology Ecology and Environmental Sciences Forests Land cover Land use Land use controls Landsat Landsat satellites Plant diversity Plant species Protected areas Rainforests Regeneration Regrowth Remote sensing Species diversity Time Factors Time series Trees |
title | Land use and land cover change dynamics across the Brazilian Amazon: insights from extensive time-series analysis of remote sensing data |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-05T11%3A02%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Land%20use%20and%20land%20cover%20change%20dynamics%20across%20the%20Brazilian%20Amazon:%20insights%20from%20extensive%20time-series%20analysis%20of%20remote%20sensing%20data&rft.jtitle=PloS%20one&rft.au=Carreiras,%20Jo%C3%A3o%20M%20B&rft.date=2014-08-06&rft.volume=9&rft.issue=8&rft.spage=e104144&rft.epage=e104144&rft.pages=e104144-e104144&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0104144&rft_dat=%3Cgale_plos_%3EA418707456%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1551695449&rft_id=info:pmid/25099362&rft_galeid=A418707456&rft_doaj_id=oai_doaj_org_article_15b3a5791d1f4c4ebd06c973cda4e5f0&rfr_iscdi=true |