Biomass and carbon estimation for scrub mangrove forests and examination of their allometric associated uncertainties
Reliable estimates of biomass and carbon storage are essential for the understanding of the environmental drivers and processes that regulate the productivity of scrub forests. The present study estimated total (above-ground, AGB + below-ground, BGB) biomass and carbon storage of a scrub forest domi...
Gespeichert in:
| Veröffentlicht in: | PloS one 2020-03, Vol.15 (3), p.e0230008-e0230008 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0230008 |
|---|---|
| container_issue | 3 |
| container_start_page | e0230008 |
| container_title | PloS one |
| container_volume | 15 |
| creator | Virgulino-Júnior, Paulo César Costa Carneiro, Diego Novaes Nascimento, Jr, Wilson Rocha Cougo, Michele Ferreira Fernandes, Marcus Emanuel Barroncas |
| description | Reliable estimates of biomass and carbon storage are essential for the understanding of the environmental drivers and processes that regulate the productivity of scrub forests. The present study estimated total (above-ground, AGB + below-ground, BGB) biomass and carbon storage of a scrub forest dominated by Avicennia germinans (L.) L. based on the existing allometric models for the AGB, while novel models were developed to estimate the BGB. Data collection followed a destructive approach by using the "sampling method", from 45 trees divided into three height classes. Tree height and diameter were used to estimate the BGB of these forests, providing more accurate estimates of their biomass. Our findings indicate the existence of a direct relationship with increasing topography and interstitial salinity, which result in an increase in the percentage contribution of the AGB. By contrast, increasing topography also led to reduction in tree height and contribution of the BGB, although this compartment represents approximately half of the total biomass of these forests. The contribution of BGB estimates increased from 43 to 49.5% from the lowest to the highest height class and the BGB and AGB values reached approximately 87 Mg ha-1 (48.6%) and 91.7 Mg ha-1 (51.4%), respectively. The estimates of the biomass and carbon stocks of scrub mangroves vary considerably worldwide, which reflects the uncertainties derived from the application of distinct sampling methods. Specific models developed for each height class should be considered instead generalist models to reduce the general uncertainties on the production and distribution of biomass and the storage of carbon. Overall, our results overcome a major lacuna in the development of allometric equations to estimate the production of BGB and the storage of carbon by scrub mangrove forests, contributing to the refinement of the total biomass estimates for this type of mangrove forest. |
| doi_str_mv | 10.1371/journal.pone.0230008 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2375800298</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A616959184</galeid><doaj_id>oai_doaj_org_article_b34312cca1ca40ffbab8e640c24effdc</doaj_id><sourcerecordid>A616959184</sourcerecordid><originalsourceid>FETCH-LOGICAL-c692t-449c70d1d0d87b4419fa039e7f42cc306e2de26d05cd77cbf6fd562465e6cac43</originalsourceid><addsrcrecordid>eNqNk9tq3DAQhk1padK0b1BaQ6G0F7vVybJ9U0hDDwuBQE-3QpZGuwq2tJHkkL595awTdksuii4sxt__j2akKYqXGC0xrfGHSz8GJ_vl1jtYIkIRQs2j4hi3lCw4QfTx3v6oeBbjJUIVbTh_WhxRgqsKt9VxMX6yfpAxltLpUsnQeVdCTHaQyeat8aGMKoxdOUi3Dv4aplAGdgK4kYN1O9SbMm3AhlL2vR8gBavKbOyVlQl0OToFIUnrkoX4vHhiZB_hxfw9KX59-fzz7Nvi_OLr6uz0fKF4S9KCsVbVSGONdFN3jOHWSERbqA0jSlHEgWggXKNK6bpWneFGV5wwXgFXUjF6Urze-W57H8XcsSgIrasGIdI2mVjtCO3lpdiGXHj4I7y04jbgw1rIkKzqQXSUUZzzSqwkQ8Z0smuAM6QIA2O0yl4f52xjN4BW4FKQ_YHp4R9nN2Ltr0WNOCMUZ4N3s0HwV2PushhsVND30oEfb8_NCakahjL65h_04epmai1zAdYZn_OqyVSccszbqsXN1KXlA1ReGgar8vMyNscPBO8PBJlJcJPWcoxRrH58_3_24vch-3aP3YDs0yb6fpzeVzwE2Q5UwccYwNw3GSMxTcddN8Q0HWKejix7tX9B96K7caB_Aae5DWQ</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2375800298</pqid></control><display><type>article</type><title>Biomass and carbon estimation for scrub mangrove forests and examination of their allometric associated uncertainties</title><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><source>Public Library of Science (PLoS)</source><creator>Virgulino-Júnior, Paulo César Costa ; Carneiro, Diego Novaes ; Nascimento, Jr, Wilson Rocha ; Cougo, Michele Ferreira ; Fernandes, Marcus Emanuel Barroncas</creator><creatorcontrib>Virgulino-Júnior, Paulo César Costa ; Carneiro, Diego Novaes ; Nascimento, Jr, Wilson Rocha ; Cougo, Michele Ferreira ; Fernandes, Marcus Emanuel Barroncas</creatorcontrib><description>Reliable estimates of biomass and carbon storage are essential for the understanding of the environmental drivers and processes that regulate the productivity of scrub forests. The present study estimated total (above-ground, AGB + below-ground, BGB) biomass and carbon storage of a scrub forest dominated by Avicennia germinans (L.) L. based on the existing allometric models for the AGB, while novel models were developed to estimate the BGB. Data collection followed a destructive approach by using the "sampling method", from 45 trees divided into three height classes. Tree height and diameter were used to estimate the BGB of these forests, providing more accurate estimates of their biomass. Our findings indicate the existence of a direct relationship with increasing topography and interstitial salinity, which result in an increase in the percentage contribution of the AGB. By contrast, increasing topography also led to reduction in tree height and contribution of the BGB, although this compartment represents approximately half of the total biomass of these forests. The contribution of BGB estimates increased from 43 to 49.5% from the lowest to the highest height class and the BGB and AGB values reached approximately 87 Mg ha-1 (48.6%) and 91.7 Mg ha-1 (51.4%), respectively. The estimates of the biomass and carbon stocks of scrub mangroves vary considerably worldwide, which reflects the uncertainties derived from the application of distinct sampling methods. Specific models developed for each height class should be considered instead generalist models to reduce the general uncertainties on the production and distribution of biomass and the storage of carbon. Overall, our results overcome a major lacuna in the development of allometric equations to estimate the production of BGB and the storage of carbon by scrub mangrove forests, contributing to the refinement of the total biomass estimates for this type of mangrove forest.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0230008</identifier><identifier>PMID: 32155195</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Biology and Life Sciences ; Biomass ; Brazil ; Carbon ; Carbon sequestration ; Carbon storage ; Coasts ; Data collection ; Earth Sciences ; Ecology and Environmental Sciences ; Ecosystems ; Environmental regulations ; Estimates ; Forest biomass ; Forests ; Mangrove swamps ; Mangroves ; Morphology ; Novels ; People and places ; Physical Sciences ; Precipitation ; Production management ; Salinity ; Sampling ; Sampling methods ; Scrub ; Storage ; Studies ; Topography ; Trees ; Uncertainty</subject><ispartof>PloS one, 2020-03, Vol.15 (3), p.e0230008-e0230008</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Virgulino-Júnior 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>2020 Virgulino-Júnior et al 2020 Virgulino-Júnior et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-449c70d1d0d87b4419fa039e7f42cc306e2de26d05cd77cbf6fd562465e6cac43</citedby><cites>FETCH-LOGICAL-c692t-449c70d1d0d87b4419fa039e7f42cc306e2de26d05cd77cbf6fd562465e6cac43</cites><orcidid>0000-0003-3894-5248 ; 0000-0001-5255-5532</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064231/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064231/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32155195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Virgulino-Júnior, Paulo César Costa</creatorcontrib><creatorcontrib>Carneiro, Diego Novaes</creatorcontrib><creatorcontrib>Nascimento, Jr, Wilson Rocha</creatorcontrib><creatorcontrib>Cougo, Michele Ferreira</creatorcontrib><creatorcontrib>Fernandes, Marcus Emanuel Barroncas</creatorcontrib><title>Biomass and carbon estimation for scrub mangrove forests and examination of their allometric associated uncertainties</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Reliable estimates of biomass and carbon storage are essential for the understanding of the environmental drivers and processes that regulate the productivity of scrub forests. The present study estimated total (above-ground, AGB + below-ground, BGB) biomass and carbon storage of a scrub forest dominated by Avicennia germinans (L.) L. based on the existing allometric models for the AGB, while novel models were developed to estimate the BGB. Data collection followed a destructive approach by using the "sampling method", from 45 trees divided into three height classes. Tree height and diameter were used to estimate the BGB of these forests, providing more accurate estimates of their biomass. Our findings indicate the existence of a direct relationship with increasing topography and interstitial salinity, which result in an increase in the percentage contribution of the AGB. By contrast, increasing topography also led to reduction in tree height and contribution of the BGB, although this compartment represents approximately half of the total biomass of these forests. The contribution of BGB estimates increased from 43 to 49.5% from the lowest to the highest height class and the BGB and AGB values reached approximately 87 Mg ha-1 (48.6%) and 91.7 Mg ha-1 (51.4%), respectively. The estimates of the biomass and carbon stocks of scrub mangroves vary considerably worldwide, which reflects the uncertainties derived from the application of distinct sampling methods. Specific models developed for each height class should be considered instead generalist models to reduce the general uncertainties on the production and distribution of biomass and the storage of carbon. Overall, our results overcome a major lacuna in the development of allometric equations to estimate the production of BGB and the storage of carbon by scrub mangrove forests, contributing to the refinement of the total biomass estimates for this type of mangrove forest.</description><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Biomass</subject><subject>Brazil</subject><subject>Carbon</subject><subject>Carbon sequestration</subject><subject>Carbon storage</subject><subject>Coasts</subject><subject>Data collection</subject><subject>Earth Sciences</subject><subject>Ecology and Environmental Sciences</subject><subject>Ecosystems</subject><subject>Environmental regulations</subject><subject>Estimates</subject><subject>Forest biomass</subject><subject>Forests</subject><subject>Mangrove swamps</subject><subject>Mangroves</subject><subject>Morphology</subject><subject>Novels</subject><subject>People and places</subject><subject>Physical Sciences</subject><subject>Precipitation</subject><subject>Production management</subject><subject>Salinity</subject><subject>Sampling</subject><subject>Sampling methods</subject><subject>Scrub</subject><subject>Storage</subject><subject>Studies</subject><subject>Topography</subject><subject>Trees</subject><subject>Uncertainty</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk9tq3DAQhk1padK0b1BaQ6G0F7vVybJ9U0hDDwuBQE-3QpZGuwq2tJHkkL595awTdksuii4sxt__j2akKYqXGC0xrfGHSz8GJ_vl1jtYIkIRQs2j4hi3lCw4QfTx3v6oeBbjJUIVbTh_WhxRgqsKt9VxMX6yfpAxltLpUsnQeVdCTHaQyeat8aGMKoxdOUi3Dv4aplAGdgK4kYN1O9SbMm3AhlL2vR8gBavKbOyVlQl0OToFIUnrkoX4vHhiZB_hxfw9KX59-fzz7Nvi_OLr6uz0fKF4S9KCsVbVSGONdFN3jOHWSERbqA0jSlHEgWggXKNK6bpWneFGV5wwXgFXUjF6Urze-W57H8XcsSgIrasGIdI2mVjtCO3lpdiGXHj4I7y04jbgw1rIkKzqQXSUUZzzSqwkQ8Z0smuAM6QIA2O0yl4f52xjN4BW4FKQ_YHp4R9nN2Ltr0WNOCMUZ4N3s0HwV2PushhsVND30oEfb8_NCakahjL65h_04epmai1zAdYZn_OqyVSccszbqsXN1KXlA1ReGgar8vMyNscPBO8PBJlJcJPWcoxRrH58_3_24vch-3aP3YDs0yb6fpzeVzwE2Q5UwccYwNw3GSMxTcddN8Q0HWKejix7tX9B96K7caB_Aae5DWQ</recordid><startdate>20200310</startdate><enddate>20200310</enddate><creator>Virgulino-Júnior, Paulo César Costa</creator><creator>Carneiro, Diego Novaes</creator><creator>Nascimento, Jr, Wilson Rocha</creator><creator>Cougo, Michele Ferreira</creator><creator>Fernandes, Marcus Emanuel Barroncas</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><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>AEUYN</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><orcidid>https://orcid.org/0000-0003-3894-5248</orcidid><orcidid>https://orcid.org/0000-0001-5255-5532</orcidid></search><sort><creationdate>20200310</creationdate><title>Biomass and carbon estimation for scrub mangrove forests and examination of their allometric associated uncertainties</title><author>Virgulino-Júnior, Paulo César Costa ; Carneiro, Diego Novaes ; Nascimento, Jr, Wilson Rocha ; Cougo, Michele Ferreira ; Fernandes, Marcus Emanuel Barroncas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-449c70d1d0d87b4419fa039e7f42cc306e2de26d05cd77cbf6fd562465e6cac43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Biomass</topic><topic>Brazil</topic><topic>Carbon</topic><topic>Carbon sequestration</topic><topic>Carbon storage</topic><topic>Coasts</topic><topic>Data collection</topic><topic>Earth Sciences</topic><topic>Ecology and Environmental Sciences</topic><topic>Ecosystems</topic><topic>Environmental regulations</topic><topic>Estimates</topic><topic>Forest biomass</topic><topic>Forests</topic><topic>Mangrove swamps</topic><topic>Mangroves</topic><topic>Morphology</topic><topic>Novels</topic><topic>People and places</topic><topic>Physical Sciences</topic><topic>Precipitation</topic><topic>Production management</topic><topic>Salinity</topic><topic>Sampling</topic><topic>Sampling methods</topic><topic>Scrub</topic><topic>Storage</topic><topic>Studies</topic><topic>Topography</topic><topic>Trees</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Virgulino-Júnior, Paulo César Costa</creatorcontrib><creatorcontrib>Carneiro, Diego Novaes</creatorcontrib><creatorcontrib>Nascimento, Jr, Wilson Rocha</creatorcontrib><creatorcontrib>Cougo, Michele Ferreira</creatorcontrib><creatorcontrib>Fernandes, Marcus Emanuel Barroncas</creatorcontrib><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 One Sustainability</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>Virgulino-Júnior, Paulo César Costa</au><au>Carneiro, Diego Novaes</au><au>Nascimento, Jr, Wilson Rocha</au><au>Cougo, Michele Ferreira</au><au>Fernandes, Marcus Emanuel Barroncas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomass and carbon estimation for scrub mangrove forests and examination of their allometric associated uncertainties</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2020-03-10</date><risdate>2020</risdate><volume>15</volume><issue>3</issue><spage>e0230008</spage><epage>e0230008</epage><pages>e0230008-e0230008</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Reliable estimates of biomass and carbon storage are essential for the understanding of the environmental drivers and processes that regulate the productivity of scrub forests. The present study estimated total (above-ground, AGB + below-ground, BGB) biomass and carbon storage of a scrub forest dominated by Avicennia germinans (L.) L. based on the existing allometric models for the AGB, while novel models were developed to estimate the BGB. Data collection followed a destructive approach by using the "sampling method", from 45 trees divided into three height classes. Tree height and diameter were used to estimate the BGB of these forests, providing more accurate estimates of their biomass. Our findings indicate the existence of a direct relationship with increasing topography and interstitial salinity, which result in an increase in the percentage contribution of the AGB. By contrast, increasing topography also led to reduction in tree height and contribution of the BGB, although this compartment represents approximately half of the total biomass of these forests. The contribution of BGB estimates increased from 43 to 49.5% from the lowest to the highest height class and the BGB and AGB values reached approximately 87 Mg ha-1 (48.6%) and 91.7 Mg ha-1 (51.4%), respectively. The estimates of the biomass and carbon stocks of scrub mangroves vary considerably worldwide, which reflects the uncertainties derived from the application of distinct sampling methods. Specific models developed for each height class should be considered instead generalist models to reduce the general uncertainties on the production and distribution of biomass and the storage of carbon. Overall, our results overcome a major lacuna in the development of allometric equations to estimate the production of BGB and the storage of carbon by scrub mangrove forests, contributing to the refinement of the total biomass estimates for this type of mangrove forest.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32155195</pmid><doi>10.1371/journal.pone.0230008</doi><orcidid>https://orcid.org/0000-0003-3894-5248</orcidid><orcidid>https://orcid.org/0000-0001-5255-5532</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2020-03, Vol.15 (3), p.e0230008-e0230008 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2375800298 |
| source | DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Analysis Biology and Life Sciences Biomass Brazil Carbon Carbon sequestration Carbon storage Coasts Data collection Earth Sciences Ecology and Environmental Sciences Ecosystems Environmental regulations Estimates Forest biomass Forests Mangrove swamps Mangroves Morphology Novels People and places Physical Sciences Precipitation Production management Salinity Sampling Sampling methods Scrub Storage Studies Topography Trees Uncertainty |
| title | Biomass and carbon estimation for scrub mangrove forests and examination of their allometric associated uncertainties |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-08T12%3A26%3A00IST&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=Biomass%20and%20carbon%20estimation%20for%20scrub%20mangrove%20forests%20and%20examination%20of%20their%20allometric%20associated%20uncertainties&rft.jtitle=PloS%20one&rft.au=Virgulino-J%C3%BAnior,%20Paulo%20C%C3%A9sar%20Costa&rft.date=2020-03-10&rft.volume=15&rft.issue=3&rft.spage=e0230008&rft.epage=e0230008&rft.pages=e0230008-e0230008&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0230008&rft_dat=%3Cgale_plos_%3EA616959184%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=2375800298&rft_id=info:pmid/32155195&rft_galeid=A616959184&rft_doaj_id=oai_doaj_org_article_b34312cca1ca40ffbab8e640c24effdc&rfr_iscdi=true |