Animal Molecular Breeding 2024, Vol.14, No.1, 130-140 http://animalscipublisher.com/index.php/amb 130 Research Report Open Access Integrating Genomics and Remote Sensing Technologies for Wildlife Monitoring XiaoZhu Hangzhou Bosure Biotech Co., Ltd, Hangzhou, 310005, Zhejiang, China Corresponding email: 875931598@qq.com 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 Copyright © 2024 Zhu, 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. Preferred citation for this article: Zhu X., 2024, Integrating genomics and remote sensing technologies for wildlife monitoring, Animal Molecular Breeding, 14(1): 130-140 (doi: 10.5376/amb.2024.14.0015) Abstract 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. Keywords Wildlife monitoring; Genomics; Remote sensing; Conservation technology; Biodiversity management Wildlife monitoring is a critical component of conservation biology, ecology, and environmental management. It involves the systematic collection of data on wildlife populations, their habitats, and the ecological processes that sustain them. Effective monitoring is essential for understanding biodiversity trends, assessing the health of ecosystems, and implementing conservation strategies to mitigate the impacts of human activities and environmental changes. The integration of advanced technologies, such as genomics and remote sensing, has the potential to revolutionize wildlife monitoring by providing more precise, comprehensive, and timely data. The field of wildlife monitoring has evolved significantly over the past few decades. Traditional methods, such as direct observation and manual tracking, have been supplemented and, in some cases, replaced by more sophisticated techniques. Genomics, for instance, has emerged as a powerful tool for understanding the genetic diversity, population structure, and adaptive potential of wildlife species. Advances in next-generation sequencing (NGS) technologies have enabled researchers to conduct genome-wide studies, providing insights into evolutionary processes and conservation genetics (Cruz et al., 2012; Hohenlohe et al., 2020; Storfer et al., 2020). Simultaneously, remote sensing technologies have transformed the way we monitor wildlife and their habitats. High-resolution satellite imagery, aerial photography, and unmanned aerial vehicles (UAVs) offer unprecedented capabilities for mapping and monitoring large and inaccessible areas. These technologies facilitate the detection of habitat changes, the tracking of animal movements, and the assessment of environmental variables that influence wildlife populations (Shafer et al., 2016; Yamasaki et al., 2017; Drakshayini et al., 2023). The integration of genomics and remote sensing technologies holds great promise for advancing wildlife monitoring. By combining genetic data with spatial and environmental information, researchers can gain a more holistic understanding of the factors driving biodiversity patterns and population dynamics. For example, population genomics can provide detailed insights into the demographic history, genetic diversity, and adaptive capacity of wildlife populations, which are crucial for effective conservation management (Forester et al., 2018; Hohenlohe et al., 2020; Hohenlohe and Rajora, 2021). Remote sensing, on the other hand, can offer real-time monitoring of habitat conditions and landscape changes, enabling the timely detection of threats such as habitat destruction, climate change, and human encroachment (Bourlat et al., 2013; Drakshayini et al., 2023). The synergy
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