Xiao Zhu

Hangzhou Bosure Biotech Co., Ltd, Hangzhou, 310005, Zhejiang, China
Author    Correspondence author
Animal Molecular Breeding, 2024, Vol. 14, No. 1   doi: 10.5376/amb.2024.14.0015
Received: 08 Jan., 2024    Accepted: 18 Feb., 2024    Published: 29 Feb., 2024

This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This study outlines the integration of genomic and remote sensing technologies to enhance wildlife monitoring efforts. By combining these advanced methodologies, the study aims to foster a comprehensive understanding of wildlife populations and their dynamics in the face of global environmental challenges. We explore a range of genomic techniques, including DNA sequencing and CRISPR, alongside various remote sensing tools such as satellite imagery, drones, and camera traps. The study synthesizes data from diverse case studies and research findings to evaluate the efficacy and scope of these integrated technologies in real-world applications. The findings reveal significant advancements in wildlife monitoring, including improved accuracy in species identification, better understanding of genetic diversity, and enhanced capability for tracking habitat changes and animal movements over large spatial scales. Case studies demonstrate the practical benefits of technology integration in addressing conservation and management issues. Integrating genomics with remote sensing technologies offers transformative potential for wildlife conservation and management. This synergy enhances our ability to monitor ecosystem health, predict biodiversity changes, and implement effective conservation strategies, thereby supporting sustainable management of natural resources.

Wildlife monitoring; Genomics; Remote sensing; Conservation technology; Biodiversity management