Work

Integrative Spatial Modeling for Ecosystem Management: A Case Study in Maasai Mara

Year: 2024

Type: article

Abstract: This study presents a generalized approach to wildlife management by introducing two adaptable models suitable for environments with varying data availability. Utilizing a Gridded Species Distribution Model and a Min-Max Model that incorporates the Simplified Floyd-Warshall Algorithm, we demonstrate a methodology capable of mapping species distributions and enhancing monitoring efficiency in habitat-rich reserves. The Gridded Model, through Optimized Hot Spot Analysis, successfully delineates critical habitats, and the Min-Max Model efficiently places monitoring stations, considering Kenya's technological landscape and data collection capabilities. Collectively, these models underpin a versatile and strategic framework, reinforcing conservation efforts in the Maasai Mara and suggesting potential for application in other contexts where similar ecological and resource challenges exist.

Source: Highlights in Science Engineering and Technology

DOI: 10.54097/dw5w9p05

Authors: Zhuchang Gu, Weiyi Sun, Ruilang Li

Institutions: Wenzhou-Kean University, University of Illinois Urbana-Champaign

Language: English

Topic: Wildlife Ecology and Conservation

Subfield: Ecology

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: diamond

OpenAlex ID: W4401666931

FWCI:

Cites: 7

Cited by:

Related to: 10