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Wood Basic Density in Large Trees: Impacts on Biomass Estimates in the Southwestern Brazilian Amazon
Wood basic density (WD) plays a crucial role in estimating forest biomass; moreover, improving wood-density estimates is needed to reduce uncertainties in the estimates of tropical forest biomass and carbon stocks. Understanding variations in this density along the tree trunk and its impact on bioma...
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Published in: | Forests 2024-05, Vol.15 (5), p.734 |
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creator | Romero, Flora Magdaline Benitez de Nazaré Oliveira Novais, Thais Jacovine, Laércio Antônio Gonçalves Bezerra, Eronildo Braga de Castro Lopes, Rosana Barbosa de Holanda, Juliana Sousa Reyna, Edi Flores Fearnside, Philip Martin |
description | Wood basic density (WD) plays a crucial role in estimating forest biomass; moreover, improving wood-density estimates is needed to reduce uncertainties in the estimates of tropical forest biomass and carbon stocks. Understanding variations in this density along the tree trunk and its impact on biomass estimates is underexplored in the literature. In this study, the vertical variability of WD was assessed along the stems of large trees that had a diameter at breast height (DBH) ≥ 50 cm from a dense ombrophilous forest on terra firme (unflooded uplands) in Acre, Brazil. A total of 224 trees were sampled, including 20 species, classified by wood type. The average WD along the stem was determined by the ratio of oven-dry mass to saturated volume. Five models were tested, including linear and nonlinear ones, to fit equations for WD, selecting the best model. The variation among species was notable, ranging from 0.288 g cm−3 (Ceiba pentandra, L., Gaertn) to 0.825 g cm−3 (Handroanthus serratifolius, Vahl., S. Grose), with an average of 0.560 g cm−3 (±0.164, standard deviation). Significant variation was observed among individuals, such as in Schizolobium parahyba var. amazonicum (H. ex D.), which ranged from 0.305 to 0.655 g cm−3. WD was classified as low (≤0.40 g cm−3), medium (0.41–0.60 g cm−3), and high (≥0.61 g cm−3). The variability in WD along the stem differs by wood type. In trees with low-density wood, density shows irregular variation but tends to increase along the stem, whereas it decreases in species with medium- and high-density wood. The variation in WD along the stem can lead to underestimations or overestimations, not only in individual trees and species but also in total stocks when estimating forest biomass. Not considering this systematic bias results in significant errors, especially in extrapolations to vast areas, such as the Amazon. |
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Understanding variations in this density along the tree trunk and its impact on biomass estimates is underexplored in the literature. In this study, the vertical variability of WD was assessed along the stems of large trees that had a diameter at breast height (DBH) ≥ 50 cm from a dense ombrophilous forest on terra firme (unflooded uplands) in Acre, Brazil. A total of 224 trees were sampled, including 20 species, classified by wood type. The average WD along the stem was determined by the ratio of oven-dry mass to saturated volume. Five models were tested, including linear and nonlinear ones, to fit equations for WD, selecting the best model. The variation among species was notable, ranging from 0.288 g cm−3 (Ceiba pentandra, L., Gaertn) to 0.825 g cm−3 (Handroanthus serratifolius, Vahl., S. Grose), with an average of 0.560 g cm−3 (±0.164, standard deviation). Significant variation was observed among individuals, such as in Schizolobium parahyba var. amazonicum (H. ex D.), which ranged from 0.305 to 0.655 g cm−3. WD was classified as low (≤0.40 g cm−3), medium (0.41–0.60 g cm−3), and high (≥0.61 g cm−3). The variability in WD along the stem differs by wood type. In trees with low-density wood, density shows irregular variation but tends to increase along the stem, whereas it decreases in species with medium- and high-density wood. The variation in WD along the stem can lead to underestimations or overestimations, not only in individual trees and species but also in total stocks when estimating forest biomass. Not considering this systematic bias results in significant errors, especially in extrapolations to vast areas, such as the Amazon.</description><identifier>ISSN: 1999-4907</identifier><identifier>EISSN: 1999-4907</identifier><identifier>DOI: 10.3390/f15050734</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Amazonia ; Biomass ; Brazil ; Carbon ; Ceiba pentandra ; Climate change ; Density ; Drying ovens ; Emissions ; Estimates ; Forest biomass ; Forest management ; Greenhouse gases ; Handroanthus serratifolius ; Influence ; Measurement ; Plant biomass ; Precipitation ; Sample size ; Schizolobium parahyba var. amazonicum ; species ; standard deviation ; Stems ; tree and stand measurements ; tree trunk ; Trees ; Tropical forests ; Variability ; Variation ; Wood ; wood density</subject><ispartof>Forests, 2024-05, Vol.15 (5), p.734</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c254t-4cc64bad5e7a397850836f524f50df4462a11425dde5287ab8fbc59f8551e1a43</cites><orcidid>0000-0001-9417-1780 ; 0000-0001-5485-3090 ; 0000-0003-3672-9082 ; 0000-0002-9763-8080 ; 0000-0002-5626-7308</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3059487283/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3059487283?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25733,27903,27904,36991,36992,44569,74872</link.rule.ids></links><search><creatorcontrib>Romero, Flora Magdaline Benitez</creatorcontrib><creatorcontrib>de Nazaré Oliveira Novais, Thais</creatorcontrib><creatorcontrib>Jacovine, Laércio Antônio Gonçalves</creatorcontrib><creatorcontrib>Bezerra, Eronildo Braga</creatorcontrib><creatorcontrib>de Castro Lopes, Rosana Barbosa</creatorcontrib><creatorcontrib>de Holanda, Juliana Sousa</creatorcontrib><creatorcontrib>Reyna, Edi Flores</creatorcontrib><creatorcontrib>Fearnside, Philip Martin</creatorcontrib><title>Wood Basic Density in Large Trees: Impacts on Biomass Estimates in the Southwestern Brazilian Amazon</title><title>Forests</title><description>Wood basic density (WD) plays a crucial role in estimating forest biomass; moreover, improving wood-density estimates is needed to reduce uncertainties in the estimates of tropical forest biomass and carbon stocks. Understanding variations in this density along the tree trunk and its impact on biomass estimates is underexplored in the literature. In this study, the vertical variability of WD was assessed along the stems of large trees that had a diameter at breast height (DBH) ≥ 50 cm from a dense ombrophilous forest on terra firme (unflooded uplands) in Acre, Brazil. A total of 224 trees were sampled, including 20 species, classified by wood type. The average WD along the stem was determined by the ratio of oven-dry mass to saturated volume. Five models were tested, including linear and nonlinear ones, to fit equations for WD, selecting the best model. The variation among species was notable, ranging from 0.288 g cm−3 (Ceiba pentandra, L., Gaertn) to 0.825 g cm−3 (Handroanthus serratifolius, Vahl., S. Grose), with an average of 0.560 g cm−3 (±0.164, standard deviation). Significant variation was observed among individuals, such as in Schizolobium parahyba var. amazonicum (H. ex D.), which ranged from 0.305 to 0.655 g cm−3. WD was classified as low (≤0.40 g cm−3), medium (0.41–0.60 g cm−3), and high (≥0.61 g cm−3). The variability in WD along the stem differs by wood type. In trees with low-density wood, density shows irregular variation but tends to increase along the stem, whereas it decreases in species with medium- and high-density wood. The variation in WD along the stem can lead to underestimations or overestimations, not only in individual trees and species but also in total stocks when estimating forest biomass. Not considering this systematic bias results in significant errors, especially in extrapolations to vast areas, such as the Amazon.</description><subject>Amazonia</subject><subject>Biomass</subject><subject>Brazil</subject><subject>Carbon</subject><subject>Ceiba pentandra</subject><subject>Climate change</subject><subject>Density</subject><subject>Drying ovens</subject><subject>Emissions</subject><subject>Estimates</subject><subject>Forest biomass</subject><subject>Forest management</subject><subject>Greenhouse gases</subject><subject>Handroanthus serratifolius</subject><subject>Influence</subject><subject>Measurement</subject><subject>Plant biomass</subject><subject>Precipitation</subject><subject>Sample size</subject><subject>Schizolobium parahyba var. amazonicum</subject><subject>species</subject><subject>standard deviation</subject><subject>Stems</subject><subject>tree and stand measurements</subject><subject>tree trunk</subject><subject>Trees</subject><subject>Tropical forests</subject><subject>Variability</subject><subject>Variation</subject><subject>Wood</subject><subject>wood density</subject><issn>1999-4907</issn><issn>1999-4907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkU1LJDEQhpvFhRXXw_6DgBc9zGzSSU063saP3RUGPKjssalJVzTSnYxJBtFfv5ERWaw6VFE8b_FS1TQ_BJ9LafhPJ4AD11J9afaFMWamDNd7__XfmsOcH3kN0J1p1X4z_I1xYGeYvWUXFLIvL8wHtsJ0T-w2EeVTdjVt0JbMYmBnPk6YM7vMxU9YKL_B5YHYTdyWh2fKhVKlEr760WNgywlfY_jefHU4Zjp8rwfN3a_L2_M_s9X176vz5WpmW1BlpqxdqDUOQBql0R3wTi4ctMoBH5xSixaFUC0MA0HbaVx3bm3BuA5AkEAlD5rj3d5Nik_baqaffLY0jhgobnMvBUgApTVU9OgT-hi3KVR3veRgVKfbTlZqvqPucaTeBxdLQltzoMnbGMj5Ol9qA4pz2S6q4GQnsCnmnMj1m1QPlV56wfu3H_UfP5L_AMUbgZ8</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Romero, Flora Magdaline Benitez</creator><creator>de Nazaré Oliveira Novais, Thais</creator><creator>Jacovine, Laércio Antônio Gonçalves</creator><creator>Bezerra, Eronildo Braga</creator><creator>de Castro Lopes, Rosana Barbosa</creator><creator>de Holanda, Juliana Sousa</creator><creator>Reyna, Edi Flores</creator><creator>Fearnside, Philip Martin</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SN</scope><scope>7SS</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0001-9417-1780</orcidid><orcidid>https://orcid.org/0000-0001-5485-3090</orcidid><orcidid>https://orcid.org/0000-0003-3672-9082</orcidid><orcidid>https://orcid.org/0000-0002-9763-8080</orcidid><orcidid>https://orcid.org/0000-0002-5626-7308</orcidid></search><sort><creationdate>20240501</creationdate><title>Wood Basic Density in Large Trees: Impacts on Biomass Estimates in the Southwestern Brazilian Amazon</title><author>Romero, Flora Magdaline Benitez ; de Nazaré Oliveira Novais, Thais ; Jacovine, Laércio Antônio Gonçalves ; Bezerra, Eronildo Braga ; de Castro Lopes, Rosana Barbosa ; de Holanda, Juliana Sousa ; Reyna, Edi Flores ; Fearnside, Philip Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c254t-4cc64bad5e7a397850836f524f50df4462a11425dde5287ab8fbc59f8551e1a43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Amazonia</topic><topic>Biomass</topic><topic>Brazil</topic><topic>Carbon</topic><topic>Ceiba pentandra</topic><topic>Climate change</topic><topic>Density</topic><topic>Drying ovens</topic><topic>Emissions</topic><topic>Estimates</topic><topic>Forest biomass</topic><topic>Forest management</topic><topic>Greenhouse gases</topic><topic>Handroanthus serratifolius</topic><topic>Influence</topic><topic>Measurement</topic><topic>Plant biomass</topic><topic>Precipitation</topic><topic>Sample size</topic><topic>Schizolobium parahyba var. amazonicum</topic><topic>species</topic><topic>standard deviation</topic><topic>Stems</topic><topic>tree and stand measurements</topic><topic>tree trunk</topic><topic>Trees</topic><topic>Tropical forests</topic><topic>Variability</topic><topic>Variation</topic><topic>Wood</topic><topic>wood density</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Romero, Flora Magdaline Benitez</creatorcontrib><creatorcontrib>de Nazaré Oliveira Novais, Thais</creatorcontrib><creatorcontrib>Jacovine, Laércio Antônio Gonçalves</creatorcontrib><creatorcontrib>Bezerra, Eronildo Braga</creatorcontrib><creatorcontrib>de Castro Lopes, Rosana Barbosa</creatorcontrib><creatorcontrib>de Holanda, Juliana Sousa</creatorcontrib><creatorcontrib>Reyna, Edi Flores</creatorcontrib><creatorcontrib>Fearnside, Philip Martin</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agriculture Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content (ProQuest)</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>Environmental Science Collection</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Forests</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Romero, Flora Magdaline Benitez</au><au>de Nazaré Oliveira Novais, Thais</au><au>Jacovine, Laércio Antônio Gonçalves</au><au>Bezerra, Eronildo Braga</au><au>de Castro Lopes, Rosana Barbosa</au><au>de Holanda, Juliana Sousa</au><au>Reyna, Edi Flores</au><au>Fearnside, Philip Martin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Wood Basic Density in Large Trees: Impacts on Biomass Estimates in the Southwestern Brazilian Amazon</atitle><jtitle>Forests</jtitle><date>2024-05-01</date><risdate>2024</risdate><volume>15</volume><issue>5</issue><spage>734</spage><pages>734-</pages><issn>1999-4907</issn><eissn>1999-4907</eissn><abstract>Wood basic density (WD) plays a crucial role in estimating forest biomass; moreover, improving wood-density estimates is needed to reduce uncertainties in the estimates of tropical forest biomass and carbon stocks. Understanding variations in this density along the tree trunk and its impact on biomass estimates is underexplored in the literature. In this study, the vertical variability of WD was assessed along the stems of large trees that had a diameter at breast height (DBH) ≥ 50 cm from a dense ombrophilous forest on terra firme (unflooded uplands) in Acre, Brazil. A total of 224 trees were sampled, including 20 species, classified by wood type. The average WD along the stem was determined by the ratio of oven-dry mass to saturated volume. Five models were tested, including linear and nonlinear ones, to fit equations for WD, selecting the best model. The variation among species was notable, ranging from 0.288 g cm−3 (Ceiba pentandra, L., Gaertn) to 0.825 g cm−3 (Handroanthus serratifolius, Vahl., S. Grose), with an average of 0.560 g cm−3 (±0.164, standard deviation). Significant variation was observed among individuals, such as in Schizolobium parahyba var. amazonicum (H. ex D.), which ranged from 0.305 to 0.655 g cm−3. WD was classified as low (≤0.40 g cm−3), medium (0.41–0.60 g cm−3), and high (≥0.61 g cm−3). The variability in WD along the stem differs by wood type. In trees with low-density wood, density shows irregular variation but tends to increase along the stem, whereas it decreases in species with medium- and high-density wood. The variation in WD along the stem can lead to underestimations or overestimations, not only in individual trees and species but also in total stocks when estimating forest biomass. Not considering this systematic bias results in significant errors, especially in extrapolations to vast areas, such as the Amazon.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/f15050734</doi><orcidid>https://orcid.org/0000-0001-9417-1780</orcidid><orcidid>https://orcid.org/0000-0001-5485-3090</orcidid><orcidid>https://orcid.org/0000-0003-3672-9082</orcidid><orcidid>https://orcid.org/0000-0002-9763-8080</orcidid><orcidid>https://orcid.org/0000-0002-5626-7308</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Amazonia Biomass Brazil Carbon Ceiba pentandra Climate change Density Drying ovens Emissions Estimates Forest biomass Forest management Greenhouse gases Handroanthus serratifolius Influence Measurement Plant biomass Precipitation Sample size Schizolobium parahyba var. amazonicum species standard deviation Stems tree and stand measurements tree trunk Trees Tropical forests Variability Variation Wood wood density |
title | Wood Basic Density in Large Trees: Impacts on Biomass Estimates in the Southwestern Brazilian Amazon |
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