Biodiversity Research on Mapping of Birds
Spatial Mapping of Birds in Avu LGA of Imo state
Birds are visible and one of the common animals with many species that have direct and indirect economic and cultural values. Primarily as sources of food acquired through hunting or farming, some birds can act as vectors for spreading diseases. Humans also have had a relationship with birds for a very long time. About 120–130 species have become extinct due to human activity since the 17th century and hundreds more. Research shows that there are over 9,000 bird species around the world from the poles to the equator.
Birds are an essential part of the ecosystem. As the human population and its activities continue to place more significant strain on biodiversity and its associated systems, one way to give back to nature is first to understand what is available, how many are available, and where they are located.
In Akwa Ibom state, development activities are rapidly expanding, and these projects impact the state’s dwindling biodiversity. Birding and ornithology are new to the area and are not well-known. According to preliminary assessments, the state has the potential to become a hotspot for major ecological research. Millions of migrating birds make their way across the Americas, Africa, and Eurasia each spring and autumn. Birds concentrate at bottlenecks where geographical features funnel them over narrow ocean crossings or where abundant feeding opportunities allow them to rest and build up fat reserves before continuing their journeys.
The importance of conservation action in the way that birds see the world is highlighted by this list of hotspots.
This bird mapping research was conducted at the Avu Local Government area of Imo State – Nigeria. Esri suite of applications was used to visualize the presence of different birds species in the area.
Project by Tesini Precious Dombo. For more information contact: info@sambusgeospatial.com
SOFTWARE: ArcGIS Online, Web App Builder, and Esri Dashboard
DATA SOURCE: Esri Basemap, Authors’ Field Data
