_____________________________________________________________________________________________________ *Corresponding author: E-mail: funmilayo.popo-ola@uniport.edu.ng; Asian J. Env. Ecol., vol. 22, no. 3, pp. 141-152, 2023 Asian Journal of Environment & Ecology Volume 22, Issue 3, Page 141-152, 2023; Article no.AJEE.107036 ISSN: 2456-690X Inventory and Spatial Distribution of Trees in Eleme Local Government Area, Port Harcourt, Nigeria Eguakun F. S. a* , Ogoro M. b and Braide F. F. a a Department of Forestry and Wildlife Management, University of Port Harcourt, Nigeria. b Department of Geography and Environmental Management, University of Port Harcourt, Nigeria. Authors’ contributions This work was carried out in collaboration among all authors. Author EFS designed the study, performed the statistical analysis, and wrote the first draft of the manuscript. Author OM managed the GIS map and spatial analysis of the study area. Author BFF managed the literature searches and data collection. All authors read and approved the final manuscript. Article Information DOI: 10.9734/AJEE/2023/v22i3499 Open Peer Review History: This journal follows the Advanced Open Peer Review policy. Identity of the Reviewers, Editor(s) and additional Reviewers, peer review comments, different versions of the manuscript, comments of the editors, etc are available here: https://www.sdiarticle5.com/review-history/107036 Received: 07/08/2023 Accepted: 10/10/2023 Published: 14/10/2023 ABSTRACT Urban trees provide a wide range of environmental, economic and social benefits to those that live and work within and outside the community. Urban forest assessments are essential in supporting urban forest management and planning to improve environmental quality and human health in cities. The study investigated woody trees distributions in Eleme Local Government Area (Apkajo) Port Harcourt Nigeria, The study area was divided into 3 categories (Academic, Residential and Religious). Total woody tree species enumerations were carried out using tree identification and measurement while remote sensing technique was used to determine spatial distribution of trees and their land surface temperature. Morphological parameters assessed included total height (THT), crown diameter (CD), crown projection area (CPA), slenderness coefficient (SC) Merchantable area (MCH). Findings indicated total number of twenty seven (27) different woody tree species was identified from a sample population of one hundred and eighty five (185) trees. Original Research Article