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All Journal Biosaintifika: Journal of Biology & Biology Education Indonesian Journal of Forestry Research
Ogbodo, John Agbo
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Agriculture, Biological Sciences & Forestry

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REMOTE SENSING FOR URBAN TREE CANOPY CHANGE DETECTION WITH LANDSAT SATELLITE DATA IN NNAMDI AZIKIWE UNIVERSITY AWKA – NIGERIA Ogbodo, John Agbo; Obimdike, Loretta M.; Benison, Yason
Indonesian Journal of Forestry Research Vol. 7 No. 2 (2020): Indonesian Journal of Forestry Research
Publisher : Association of Indonesian Forestry and Environment Researchers and Technicians

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2020.7.2.99-112

Abstract

Urban tree canopy within a university boundary is a measure of the university's tree cover as a percentage of its total land area. The overall objective of the present study is to conduct a Spatio-temporal change analysis of urban tree canopy in Nnamdi Azikiwe University Awka-Nigeria. Landsat data of years 1991, 2001, 2011 and 2019 were analysed using Maximum Likelihood Classifier and Confusion Matrix Spatial Analyst in ArcGIS 10.7.1 software. In terms of tree cover loss, there is a steady rate of decrease from -31.59 Hectares (ha) between 1991 and 2001; -82.32 ha (2001/2011) and -64.53 ha (2011/2019). Whereas, at an initial land area of 9.40 ha in 1991, physical infrastructural development is progressively increased with 16.92 ha between 1991 and 2001; 43.79 ha 2001/2011 and 12.37 ha between 2011 and 2019. The dominant drivers of tree cover change in the study area related to the expansion of physical infrastructures and sprawling agriculture as a result of encroachers into the study area. In conclusion, tropical forests within university campuses face many threats, such as those posed by unregulated physical infrastructural development and a lack of investment and management of forest relics. As a recommendation, Nigerian universities should invest and conserve their existing forested landscapes towards promoting land resources in line with Sustainable Development Goals number 15 (SDG-15) strategies.
Heterotrigona itama Pollen Analysis as a Bioindicator of Floral Diversity in South Kalimantan Oil Palm Agroforestry Kadarsah, Anang; Ulimaz, Almira; Yardani, Jesi; Satriadi, Trisnu; Ogbodo, John Agbo
Biosaintifika: Journal of Biology & Biology Education Vol. 17 No. 3 (2025): November 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/biosaintifika.v17i3.34142

Abstract

Background: The expansion of oil palm plantations in Indonesia drives deforestation and biodiversity loss, threatening pollinator communities. Agroforestry systems within oil palm landscapes may enhance floral resources, but their effectiveness is poorly understood. This study evaluates the potential of stingless bee (Heterotrigona itama) pollen analysis as a tool for monitoring floral diversity in different oil palm agroforestry systems. Methods: Pollen samples were collected from H. itama colonies in five distinct oil palm agroforestry systems (block-type, intercropping, row-type, fence-type, and palm oil-livestock) across South Kalimantan. Pollen types were identified microscopically, and diversity metrics (Shannon Index, Simpson Index, and Evenness) were calculated to assess foraging patterns and floral resource availability. Results: Analysis identified 30 plant species from 22 families. Agroforestry type significantly influenced pollen composition. Block-type systems exhibited the highest species richness (14 types), while fence-type systems showed the lowest (9 types) with heavy dominance by maize (Zea mays, 41.4%). Intercropping systems were dominated by Acacia mangium (51.2%). Row-type systems demonstrated the most balanced foraging (highest evenness). A moderate Sørensen similarity index (0.63) between pollen and field vegetation confirmed bees as effective samplers of landscape floral diversity. This research confirms that H. itama pollen analysis is an efficient bioindicator tool, revealing that agroforestry management directly shapes pollinator resource availability. Complex systems (e.g., block-type, row-type) support higher floral diversity, which is crucial for pollinator conservation and sustainable productivity in oil palm-dominated landscapes. This method provides a practical approach for guiding biodiversity-inclusive agricultural practices.
Co-Authors Almira Ulimaz Anang Kadarsah, Anang Benison, Yason Obimdike, Loretta M. Trisnu Satriadi Yardani, Jesi