Assessment of the effect of landowner type on deforestation in the Brazilian Legal Amazon using remote sensing data

The Brazilian Legal Amazon contains important reservoirs of forest that are threatened by stakeholders’ behaviour. The Cadastro Ambiental Rural (CAR; Rural Environmental Registry) database was used to define the limits and classes of landowner according to private property size. For each class, we i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Environmental conservation 2022-12, Vol.49 (4), p.225-233
Hauptverfasser: Cabral, Ana IR, Laques, Anne Elisabeth, Saito, Carlos Hiroo
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 233
container_issue 4
container_start_page 225
container_title Environmental conservation
container_volume 49
creator Cabral, Ana IR
Laques, Anne Elisabeth
Saito, Carlos Hiroo
description The Brazilian Legal Amazon contains important reservoirs of forest that are threatened by stakeholders’ behaviour. The Cadastro Ambiental Rural (CAR; Rural Environmental Registry) database was used to define the limits and classes of landowner according to private property size. For each class, we identified the annual forest-cover/cover-loss profile at 2-year intervals from 2000 to 2020 based on Brazilian Annual Land Use and Land Cover Mapping Project (MapBiomas) and Program for Deforestation Monitoring (PRODES) data. The analysis revealed that very large landowners dominate the CAR-registered area and that deforestation is influenced by landowner type. The cumulative contributions to deforestation were 2 916 245.96, 1 234 216.79, 2 871 400.36, 2 805 058.62 and 2 637 485.60 ha for very large landowners, large landowners, medium landowners, small landowners and very small landowners, respectively. Very large landowners (1.7% of the total number of properties) had more forest on their properties but caused the greatest amount of deforestation in total, often associated with agribusiness. Small and very small landowners were more numerous (21.0% and 68.3% of the total number of properties, respectively), but they owned a small total area and contributed less to total deforestation. Property size and landownership asymmetry should be considered in deforestation control policies and commitments to the Sustainable Development Goals agenda.
doi_str_mv 10.1017/S0376892922000297
format Article
fullrecord <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_hal_primary_oai_HAL_hal_04163583v1</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cupid>10_1017_S0376892922000297</cupid><sourcerecordid>2731672366</sourcerecordid><originalsourceid>FETCH-LOGICAL-c351t-9b48eff9ceed425e5b3c1ad8fd64086bf6ca74d6414b0e4cc5e0e86efb60c5b3</originalsourceid><addsrcrecordid>eNp1kTFPwzAQhS0EEqXwA9gsMTEE7NhxkjFUQJEiMdA9cpxzmyqxi52C2l-P0yIYEJP1_L73dKdD6JqSO0poev9GWCqyPM7jmBAS5-kJmlAu8oizLD1Fk9GORv8cXXi_DoxI0myCfOE9eN-DGbDVeFgBBq1BHVQnTWM_DTg87DaArcENaOvAD3Jog2rNIfDg5L7tWmlwCUvZ4aKX--BufWuW2EFvB8AezEE2cpCX6EzLzsPV9ztFi6fHxWwela_PL7OijBRL6BDlNc_CLLkCaHicQFIzRWWT6UZwkolaCyVTHgTlNQGuVAIEMgG6FkQFeIpuj7Ur2VUb1_bS7Sor22pelNX4RzgVLMnYBw3szZHdOPu-DQtWa7t1JkxXxSmjIo2ZEIGiR0o5670D_VNLSTWeofpzhpBh3xnZ165tlvBb_X_qC0Haix4</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2731672366</pqid></control><display><type>article</type><title>Assessment of the effect of landowner type on deforestation in the Brazilian Legal Amazon using remote sensing data</title><source>Cambridge University Press Journals Complete</source><creator>Cabral, Ana IR ; Laques, Anne Elisabeth ; Saito, Carlos Hiroo</creator><creatorcontrib>Cabral, Ana IR ; Laques, Anne Elisabeth ; Saito, Carlos Hiroo</creatorcontrib><description>The Brazilian Legal Amazon contains important reservoirs of forest that are threatened by stakeholders’ behaviour. The Cadastro Ambiental Rural (CAR; Rural Environmental Registry) database was used to define the limits and classes of landowner according to private property size. For each class, we identified the annual forest-cover/cover-loss profile at 2-year intervals from 2000 to 2020 based on Brazilian Annual Land Use and Land Cover Mapping Project (MapBiomas) and Program for Deforestation Monitoring (PRODES) data. The analysis revealed that very large landowners dominate the CAR-registered area and that deforestation is influenced by landowner type. The cumulative contributions to deforestation were 2 916 245.96, 1 234 216.79, 2 871 400.36, 2 805 058.62 and 2 637 485.60 ha for very large landowners, large landowners, medium landowners, small landowners and very small landowners, respectively. Very large landowners (1.7% of the total number of properties) had more forest on their properties but caused the greatest amount of deforestation in total, often associated with agribusiness. Small and very small landowners were more numerous (21.0% and 68.3% of the total number of properties, respectively), but they owned a small total area and contributed less to total deforestation. Property size and landownership asymmetry should be considered in deforestation control policies and commitments to the Sustainable Development Goals agenda.</description><identifier>ISSN: 0376-8929</identifier><identifier>EISSN: 1469-4387</identifier><identifier>DOI: 10.1017/S0376892922000297</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Agribusiness ; Data collection ; Deforestation ; Environmental Sciences ; Forests ; Land cover ; Land ownership ; Land use ; Landowners ; Remote sensing ; Research Paper ; Riparian buffers ; Rural environments ; Sustainable development</subject><ispartof>Environmental conservation, 2022-12, Vol.49 (4), p.225-233</ispartof><rights>The Author(s), 2022. Published by Cambridge University Press on behalf of Foundation for Environmental Conservation</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c351t-9b48eff9ceed425e5b3c1ad8fd64086bf6ca74d6414b0e4cc5e0e86efb60c5b3</citedby><cites>FETCH-LOGICAL-c351t-9b48eff9ceed425e5b3c1ad8fd64086bf6ca74d6414b0e4cc5e0e86efb60c5b3</cites><orcidid>0000-0002-5757-9629 ; 0000-0001-6417-450X ; 0000-0003-4469-270X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S0376892922000297/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>164,230,314,780,784,885,27924,27925,55628</link.rule.ids><backlink>$$Uhttps://hal.science/hal-04163583$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Cabral, Ana IR</creatorcontrib><creatorcontrib>Laques, Anne Elisabeth</creatorcontrib><creatorcontrib>Saito, Carlos Hiroo</creatorcontrib><title>Assessment of the effect of landowner type on deforestation in the Brazilian Legal Amazon using remote sensing data</title><title>Environmental conservation</title><addtitle>Envir. Conserv</addtitle><description>The Brazilian Legal Amazon contains important reservoirs of forest that are threatened by stakeholders’ behaviour. The Cadastro Ambiental Rural (CAR; Rural Environmental Registry) database was used to define the limits and classes of landowner according to private property size. For each class, we identified the annual forest-cover/cover-loss profile at 2-year intervals from 2000 to 2020 based on Brazilian Annual Land Use and Land Cover Mapping Project (MapBiomas) and Program for Deforestation Monitoring (PRODES) data. The analysis revealed that very large landowners dominate the CAR-registered area and that deforestation is influenced by landowner type. The cumulative contributions to deforestation were 2 916 245.96, 1 234 216.79, 2 871 400.36, 2 805 058.62 and 2 637 485.60 ha for very large landowners, large landowners, medium landowners, small landowners and very small landowners, respectively. Very large landowners (1.7% of the total number of properties) had more forest on their properties but caused the greatest amount of deforestation in total, often associated with agribusiness. Small and very small landowners were more numerous (21.0% and 68.3% of the total number of properties, respectively), but they owned a small total area and contributed less to total deforestation. Property size and landownership asymmetry should be considered in deforestation control policies and commitments to the Sustainable Development Goals agenda.</description><subject>Agribusiness</subject><subject>Data collection</subject><subject>Deforestation</subject><subject>Environmental Sciences</subject><subject>Forests</subject><subject>Land cover</subject><subject>Land ownership</subject><subject>Land use</subject><subject>Landowners</subject><subject>Remote sensing</subject><subject>Research Paper</subject><subject>Riparian buffers</subject><subject>Rural environments</subject><subject>Sustainable development</subject><issn>0376-8929</issn><issn>1469-4387</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kTFPwzAQhS0EEqXwA9gsMTEE7NhxkjFUQJEiMdA9cpxzmyqxi52C2l-P0yIYEJP1_L73dKdD6JqSO0poev9GWCqyPM7jmBAS5-kJmlAu8oizLD1Fk9GORv8cXXi_DoxI0myCfOE9eN-DGbDVeFgBBq1BHVQnTWM_DTg87DaArcENaOvAD3Jog2rNIfDg5L7tWmlwCUvZ4aKX--BufWuW2EFvB8AezEE2cpCX6EzLzsPV9ztFi6fHxWwela_PL7OijBRL6BDlNc_CLLkCaHicQFIzRWWT6UZwkolaCyVTHgTlNQGuVAIEMgG6FkQFeIpuj7Ur2VUb1_bS7Sor22pelNX4RzgVLMnYBw3szZHdOPu-DQtWa7t1JkxXxSmjIo2ZEIGiR0o5670D_VNLSTWeofpzhpBh3xnZ165tlvBb_X_qC0Haix4</recordid><startdate>20221201</startdate><enddate>20221201</enddate><creator>Cabral, Ana IR</creator><creator>Laques, Anne Elisabeth</creator><creator>Saito, Carlos Hiroo</creator><general>Cambridge University Press</general><general>Cambridge University Press (CUP)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7ST</scope><scope>7U6</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>1XC</scope><orcidid>https://orcid.org/0000-0002-5757-9629</orcidid><orcidid>https://orcid.org/0000-0001-6417-450X</orcidid><orcidid>https://orcid.org/0000-0003-4469-270X</orcidid></search><sort><creationdate>20221201</creationdate><title>Assessment of the effect of landowner type on deforestation in the Brazilian Legal Amazon using remote sensing data</title><author>Cabral, Ana IR ; Laques, Anne Elisabeth ; Saito, Carlos Hiroo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c351t-9b48eff9ceed425e5b3c1ad8fd64086bf6ca74d6414b0e4cc5e0e86efb60c5b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Agribusiness</topic><topic>Data collection</topic><topic>Deforestation</topic><topic>Environmental Sciences</topic><topic>Forests</topic><topic>Land cover</topic><topic>Land ownership</topic><topic>Land use</topic><topic>Landowners</topic><topic>Remote sensing</topic><topic>Research Paper</topic><topic>Riparian buffers</topic><topic>Rural environments</topic><topic>Sustainable development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cabral, Ana IR</creatorcontrib><creatorcontrib>Laques, Anne Elisabeth</creatorcontrib><creatorcontrib>Saito, Carlos Hiroo</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science 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 Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; 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>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Environmental conservation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cabral, Ana IR</au><au>Laques, Anne Elisabeth</au><au>Saito, Carlos Hiroo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessment of the effect of landowner type on deforestation in the Brazilian Legal Amazon using remote sensing data</atitle><jtitle>Environmental conservation</jtitle><addtitle>Envir. Conserv</addtitle><date>2022-12-01</date><risdate>2022</risdate><volume>49</volume><issue>4</issue><spage>225</spage><epage>233</epage><pages>225-233</pages><issn>0376-8929</issn><eissn>1469-4387</eissn><abstract>The Brazilian Legal Amazon contains important reservoirs of forest that are threatened by stakeholders’ behaviour. The Cadastro Ambiental Rural (CAR; Rural Environmental Registry) database was used to define the limits and classes of landowner according to private property size. For each class, we identified the annual forest-cover/cover-loss profile at 2-year intervals from 2000 to 2020 based on Brazilian Annual Land Use and Land Cover Mapping Project (MapBiomas) and Program for Deforestation Monitoring (PRODES) data. The analysis revealed that very large landowners dominate the CAR-registered area and that deforestation is influenced by landowner type. The cumulative contributions to deforestation were 2 916 245.96, 1 234 216.79, 2 871 400.36, 2 805 058.62 and 2 637 485.60 ha for very large landowners, large landowners, medium landowners, small landowners and very small landowners, respectively. Very large landowners (1.7% of the total number of properties) had more forest on their properties but caused the greatest amount of deforestation in total, often associated with agribusiness. Small and very small landowners were more numerous (21.0% and 68.3% of the total number of properties, respectively), but they owned a small total area and contributed less to total deforestation. Property size and landownership asymmetry should be considered in deforestation control policies and commitments to the Sustainable Development Goals agenda.</abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><doi>10.1017/S0376892922000297</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-5757-9629</orcidid><orcidid>https://orcid.org/0000-0001-6417-450X</orcidid><orcidid>https://orcid.org/0000-0003-4469-270X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0376-8929
ispartof Environmental conservation, 2022-12, Vol.49 (4), p.225-233
issn 0376-8929
1469-4387
language eng
recordid cdi_hal_primary_oai_HAL_hal_04163583v1
source Cambridge University Press Journals Complete
subjects Agribusiness
Data collection
Deforestation
Environmental Sciences
Forests
Land cover
Land ownership
Land use
Landowners
Remote sensing
Research Paper
Riparian buffers
Rural environments
Sustainable development
title Assessment of the effect of landowner type on deforestation in the Brazilian Legal Amazon using 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=2024-12-29T16%3A05%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Assessment%20of%20the%20effect%20of%20landowner%20type%20on%20deforestation%20in%20the%20Brazilian%20Legal%20Amazon%20using%20remote%20sensing%20data&rft.jtitle=Environmental%20conservation&rft.au=Cabral,%20Ana%20IR&rft.date=2022-12-01&rft.volume=49&rft.issue=4&rft.spage=225&rft.epage=233&rft.pages=225-233&rft.issn=0376-8929&rft.eissn=1469-4387&rft_id=info:doi/10.1017/S0376892922000297&rft_dat=%3Cproquest_hal_p%3E2731672366%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2731672366&rft_id=info:pmid/&rft_cupid=10_1017_S0376892922000297&rfr_iscdi=true