Allometric Equation for Aboveground Biomass Estimation for Selected Trees Shrubs in Gesha - Sayilem Moist Afromontane Forest.

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This preprint develops species-specific allometric equations to estimate aboveground biomass for five tree and shrub species within the Gesha-Sayilem Moist Afromontane Forest in Ethiopia. The researchers utilized non-destructive sampling methods to measure dendrometric variables such as diameter at breast height, height, and wood density, subsequently validating these models against destructive sampling data for accuracy. Results indicated that combining diameter, height, and wood density provided a significantly stronger correlation with biomass than using individual variables alone, offering improved precision for carbon assessment compared to generic regional equations. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Background: Allometric equations which are regressions linking the biomass to some independent variables that are used to estimate tree components from the forest. The generic equation developed by many authors may not adequately reveal the tree biomass in a specific region in tropics including in Ethiopia. Therefore, the use of species specific allometric equations is important to achieve higher levels of accuracy because trees of different species may differ in size and biomass. The objective of the study was to develop species-specific allometric equations for Apodytes dimidiata , Ilex mitis , Sapium ellipticum and shrubs ( Galiniera saxifraga and Vernonia auriculifera ) for estimating the aboveground biomass (AGB). Non-destructive sampling method was used for the measurement of tree biomass, accordingly the trees and shrubs whose Diameter at Breast Height (DBH) is ≥ 5 cm were sampled. For trees serial measurements of the height and diameter of trunk were done at 2 m intervals. For the determination of biomass of shrubs destructively sampled. Four branches were trimmed from tree and the trimmed branches were separated into leaves and wood and oven dried at 105 0 C and recorded to estimate the biomass of untrimmed small branches. Nested model was used and the best fit model was selected based on higher Adjusted R 2 , lower residual standard error and Akaike information criterion. Results: : All the necessary biomass calculations were done, and biomass equations were developed for each species. The regression equations relate AGB with DBH, height (H), and density (ρ) were computed and the models were tested for accuracy based on observed data. The best model was selected based higher adj R 2 and lower residual standard error and Akaike information criterion than rejected models. The relations for all selected models are significant (p<0.000), which showed strong correlation AGB with selected dendrometric variables. Accordingly, the AGB was strongly correlated with DBH and was not significantly correlated with wood density and height individually in Ilex mitis . In combination, AGB was strongly correlated with DBH, height and wood density; are better for carbon assessment than general equations. Conclusions: : The specific allometeric equation developed for the Gesha-Sayilem Afromontane Forest which can be used in similar moist forests in Ethiopia for the implementation of Reduced Emission from Deforestation and Degradation (REDD + ) activities to benefit the local communities from carbon trade.
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Allometric Equation for Aboveground Biomass Estimation for Selected Trees Shrubs in Gesha - Sayilem Moist Afromontane Forest. | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Allometric Equation for Aboveground Biomass Estimation for Selected Trees Shrubs in Gesha - Sayilem Moist Afromontane Forest. Admassu Addi Merti, Teshome soromessa Soromessa, Tura Bareke Kefle This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-210985/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background: Allometric equations which are regressions linking the biomass to some independent variables that are used to estimate tree components from the forest. The generic equation developed by many authors may not adequately reveal the tree biomass in a specific region in tropics including in Ethiopia. Therefore, the use of species specific allometric equations is important to achieve higher levels of accuracy because trees of different species may differ in size and biomass. The objective of the study was to develop species-specific allometric equations for Apodytes dimidiata , Ilex mitis , Sapium ellipticum and shrubs ( Galiniera saxifraga and Vernonia auriculifera ) for estimating the aboveground biomass (AGB). Non-destructive sampling method was used for the measurement of tree biomass, accordingly the trees and shrubs whose Diameter at Breast Height (DBH) is ≥ 5 cm were sampled. For trees serial measurements of the height and diameter of trunk were done at 2 m intervals. For the determination of biomass of shrubs destructively sampled. Four branches were trimmed from tree and the trimmed branches were separated into leaves and wood and oven dried at 105 0 C and recorded to estimate the biomass of untrimmed small branches. Nested model was used and the best fit model was selected based on higher Adjusted R 2 , lower residual standard error and Akaike information criterion. Results: All the necessary biomass calculations were done, and biomass equations were developed for each species. The regression equations relate AGB with DBH, height (H), and density (ρ) were computed and the models were tested for accuracy based on observed data. The best model was selected based higher adj R 2 and lower residual standard error and Akaike information criterion than rejected models. The relations for all selected models are significant (p<0.000), which showed strong correlation AGB with selected dendrometric variables. Accordingly, the AGB was strongly correlated with DBH and was not significantly correlated with wood density and height individually in Ilex mitis . In combination, AGB was strongly correlated with DBH, height and wood density; are better for carbon assessment than general equations. Conclusions: The specific allometeric equation developed for the Gesha-Sayilem Afromontane Forest which can be used in similar moist forests in Ethiopia for the implementation of Reduced Emission from Deforestation and Degradation (REDD + ) activities to benefit the local communities from carbon trade. Forestry Allometeric equation Biomass Afromontane forest Gesha and Sayilem Figures Figure 1 Figure 2 Figure 3 Figure 4 Full Text Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the latest manuscript can be downloaded and accessed as a PDF. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-210985","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research","associatedPublications":[],"authors":[{"id":10661153,"identity":"4eae968a-a2a3-4045-845b-b51657a7c20b","order_by":0,"name":"Admassu Addi Merti","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA40lEQVRIiWNgGAWjYFCCBCh9ILHxAZDi4SNFS7MBSAsbCVoS2CRANEEt/O3ZiR9//Dksz3c8ua3ya46dDBsD88NHN/BokTjzdrM0b9thw5lnHrbdlt2WDHQYm7FxDj5rbuRukGZsOMy44UZi223JbcxALTxs0vi0yN/I3fwT6DB7kJZiyW31hLUY3MjdJsHDdjgRpIXx47bDhLUYnnm7zZq3LT0Z6JdmacZtx3nYmAn4Re547uabP/5Y2/YdT3/48ee2ant+9uaHj/F6Hxkw84BJYpWDAOMPUlSPglEwCkbBiAEATxFRKrVhKi4AAAAASUVORK5CYII=","orcid":"","institution":"Oromia Agricultural research Institute","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Admassu","middleName":"Addi","lastName":"Merti","suffix":""},{"id":10661154,"identity":"004f0921-2861-41e7-acd2-f59dd7fcf7ad","order_by":1,"name":"Teshome soromessa Soromessa","email":"","orcid":"","institution":"Addis Ababa University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Teshome","middleName":"soromessa","lastName":"Soromessa","suffix":""},{"id":10661155,"identity":"72e816f1-0c84-4e13-8707-0ef0428157f1","order_by":2,"name":"Tura Bareke Kefle","email":"","orcid":"","institution":"Oromia agricultural research institute","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Tura","middleName":"Bareke","lastName":"Kefle","suffix":""}],"badges":[],"createdAt":"2021-02-05 17:53:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-210985/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-210985/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":6119380,"identity":"60c08820-bcf0-454f-8c25-c16d2090b451","added_by":"auto","created_at":"2021-02-19 00:48:23","extension":"jpeg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":355876,"visible":true,"origin":"","legend":"Map of Ethiopia, Oromia and SNNP Region, Kaffa zone, Gesha and Sayilem districts \nSource: (Admassu et al. 2020)\nNote: The designations employed and the presentation of the material on this map\ndo not imply the expression of any opinion whatsoever on the part of Research Square concerning\nthe legal status of any country, territory, city or area or of its authorities, \nor concerning the delimitation of its frontiers or boundaries. 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The generic equation developed by many authors may not adequately reveal the tree biomass in a specific region in tropics including in Ethiopia. Therefore, the use of species specific allometric equations is important to achieve higher levels of accuracy because trees of different species may differ in size and biomass. The objective of the study was to develop species-specific allometric equations for \u003cem\u003eApodytes dimidiata\u003c/em\u003e, \u003cem\u003eIlex mitis\u003c/em\u003e, \u003cem\u003eSapium ellipticum\u003c/em\u003e and shrubs (\u003cem\u003eGaliniera saxifraga\u003c/em\u003e and \u003cem\u003eVernonia auriculifera\u003c/em\u003e) for estimating the aboveground biomass (AGB). Non-destructive sampling method was used for the measurement of tree biomass, accordingly the trees and shrubs whose Diameter at Breast Height (DBH) is ≥ 5 cm were sampled. For trees serial measurements of the height and diameter of trunk were done at 2 m intervals. For the determination of biomass of shrubs destructively sampled. Four branches were trimmed from tree and the trimmed branches were separated into leaves and wood and oven dried at 105\u003csup\u003e0\u003c/sup\u003eC and recorded to estimate the biomass of untrimmed small branches. Nested model was used and the best fit model was selected based on higher Adjusted R\u003csup\u003e2\u003c/sup\u003e, lower residual standard error and Akaike information criterion. \u003c/p\u003e\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e All the necessary biomass calculations were done, and biomass equations were developed for each species. The regression equations relate AGB with DBH, height (H), and density (ρ) were computed and the models were tested for accuracy based on observed data. The best model was selected based higher adj R\u003csup\u003e2\u003c/sup\u003e and lower residual standard error and Akaike information criterion than rejected models. The relations for all selected models are significant (p\u0026lt;0.000), which showed strong correlation AGB with selected dendrometric variables. Accordingly, the AGB was strongly correlated with DBH and was not significantly correlated with wood density and height individually in \u003cem\u003eIlex mitis\u003c/em\u003e. In combination, AGB was strongly correlated with DBH, height and wood density; are better for carbon assessment than general equations.\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConclusions:\u003c/strong\u003e \u0026nbsp;The specific allometeric equation developed for the Gesha-Sayilem Afromontane Forest which can be used in similar moist forests in Ethiopia for the implementation of Reduced Emission from Deforestation and Degradation (REDD\u003csup\u003e+\u003c/sup\u003e)\u003csup\u003e \u003c/sup\u003eactivities to benefit the local communities from carbon trade.\u0026nbsp;\u0026nbsp;\u003c/p\u003e","manuscriptTitle":"Allometric Equation for Aboveground Biomass Estimation for Selected Trees Shrubs in Gesha - Sayilem Moist Afromontane Forest.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-02-19 00:42:22","doi":"10.21203/rs.3.rs-210985/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"f568ad30-d6a2-4be3-bf6d-d1d30c4a2d9e","owner":[],"postedDate":"February 19th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":2494640,"name":"Forestry"}],"tags":[],"updatedAt":"2021-02-19T00:42:23+00:00","versionOfRecord":[],"versionCreatedAt":"2021-02-19 00:42:22","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-210985","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-210985","identity":"rs-210985","version":["v1"]},"buildId":"GqpaHPwrfC8PjnIFayRh5","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}

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