Assessing the Relationship between Macroinvertebrate Metrics and Fine Sediment index for Ecological Biomonitoring in the Little Akaki River, Addis Ababa; Ethiopia

Assessing the Relationship between Macroinvertebrate Metrics and Fine Sediment index for Ecological Biomonitoring in the Little Akaki River, Addis Ababa; Ethiopia | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 10 June 2025 V1 Latest version Share on Assessing the Relationship between Macroinvertebrate Metrics and Fine Sediment index for Ecological Biomonitoring in the Little Akaki River, Addis Ababa; Ethiopia Authors : Alachew Adino 0009-0008-2497-3209 [email protected] and Seyoum Mengistou Authors Info & Affiliations https://doi.org/10.22541/au.174953382.26268244/v1 Published Ecology and Evolution Version of record Peer review timeline 181 views 88 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract The Little Akaki River faces significant environmental challenges, including sedimentation, which may adversely affect biodiversity and aquatic ecosystems. Understanding the relationship between macroinvertebrate metrics and sediment index along this river is crucial for assessing the river ecological health. This study aims to evaluate the relationship between macroinvertebrate metrics and sediment index along the Little Akaki River. The research was conducted across seven sampling sites based on the accessibility, intended to use and biotope richness from April to May 2024, employing a multi-habitat sampling methodology. Macroinvertebrates were collected from gravel, sand, mud, vegetation, riffles and pools with a 500 µm D-frame net. A total of 5575 macroinvertebrates were collected from gravel, sand mud, vegetation, riffles, pools, sand and mud. With 11 orders and 32 families, 21 taxa were found at site 1 and the lowest number of taxa was recorded at site 7. Habitat quality had a positive correlation with percentage of Ephemeroptera, percentage of EOT, and Shannon diversity index (r =0.833, r = 0.880, and r = 0.939, respectively). PSI had positive correlation with number of taxa, and ASPT-ETHbios (r = 0.819, and r = 0.798, respectively). A plot of RDA analysis separated the macroinvertebrate taxa which showed significant correlation with HQI. Most sites were heavily sedimented. The study reveals a significant correlation between PSI, habitat quality index, and macroinvertebrate metrics, providing clear evidence that sedimented sites are also heavily polluted. The causal relationship between fine sediment and pollution indicators needs to be investigated in detail. Supplementary Material File (manuscript_alachew.docx) Download 2.04 MB Information & Authors Information Version history V1 Version 1 10 June 2025 Peer review timeline Published Ecology and Evolution Version of Record 25 Dec 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords akaki river fine sediment habitat quality index macroinvertebrate Authors Affiliations Alachew Adino 0009-0008-2497-3209 [email protected] Sekota Dryland Agricultural Research Centre View all articles by this author Seyoum Mengistou Addis Ababa University College of Natural Sciences View all articles by this author Metrics & Citations Metrics Article Usage 181 views 88 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Alachew Adino, Seyoum Mengistou. Assessing the Relationship between Macroinvertebrate Metrics and Fine Sediment index for Ecological Biomonitoring in the Little Akaki River, Addis Ababa; Ethiopia. Authorea . 10 June 2025. DOI: https://doi.org/10.22541/au.174953382.26268244/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. Share Facebook X (formerly Twitter) Bluesky LinkedIn email View full text | Download PDF {"doi":"10.22541/au.174953382.26268244/v1","type":"Article"} Now Reading: Share Figures Tables Close figure viewer Back to article Figure title goes here Change zoom level Go to figure location within the article Download figure Toggle share panel Toggle share panel Share Toggle information panel Toggle information panel Go to previous graphic Go to next graphic Go to previous table Go to next table All figures All tables View all material View all material xrefBack.goTo xrefBack.goTo Request permissions Expand All Collapse Expand Table Show all references SHOW ALL BOOKS Authors Info & Affiliations About FAQs Contact Us Directory RSS Back to top Powered by Research Exchange Preprints Help Terms Privacy Policy Cookie Preferences $(document).ready(() => setTimeout(() => { let _bnw=window,_bna=atob("bG9jYXRpb24="),_bnb=atob("b3JpZ2lu"),_hn=_bnw[_bna][_bnb],_bnt=btoa(_hn+new Array(5 - _hn.length % 4).join(" ")); $.get("/resource/lodash?t="+_bnt); },4000)); (function(){function c(){var b=a.contentDocument||a.contentWindow.document;if(b){var d=b.createElement('script');d.innerHTML="window.__CF$cv$params={r:'9fee9c7c1f0158d3',t:'MTc3OTMxNDM5NQ=='};var a=document.createElement('script');a.src='/cdn-cgi/challenge-platform/scripts/jsd/main.js';document.getElementsByTagName('head')[0].appendChild(a);";b.getElementsByTagName('head')[0].appendChild(d)}}if(document.body){var a=document.createElement('iframe');a.height=1;a.width=1;a.style.position='absolute';a.style.top=0;a.style.left=0;a.style.border='none';a.style.visibility='hidden';document.body.appendChild(a);if('loading'!==document.readyState)c();else if(window.addEventListener)document.addEventListener('DOMContentLoaded',c);else{var e=document.onreadystatechange||function(){};document.onreadystatechange=function(b){e(b);'loading'!==document.readyState&&(document.onreadystatechange=e,c())}}}})();