Version 1
: Received: 19 October 2023 / Approved: 20 October 2023 / Online: 20 October 2023 (16:11:28 CEST)
Version 2
: Received: 25 October 2023 / Approved: 26 October 2023 / Online: 27 October 2023 (11:59:37 CEST)
How to cite:
Suzzi-Simmons, A.; Devarajan, K. Enhancing Conservation Strategies with GIS: Advances, Collaborations, and Future Directions. Preprints2023, 2023101372. https://doi.org/10.20944/preprints202310.1372.v2
Suzzi-Simmons, A.; Devarajan, K. Enhancing Conservation Strategies with GIS: Advances, Collaborations, and Future Directions. Preprints 2023, 2023101372. https://doi.org/10.20944/preprints202310.1372.v2
Suzzi-Simmons, A.; Devarajan, K. Enhancing Conservation Strategies with GIS: Advances, Collaborations, and Future Directions. Preprints2023, 2023101372. https://doi.org/10.20944/preprints202310.1372.v2
APA Style
Suzzi-Simmons, A., & Devarajan, K. (2023). Enhancing Conservation Strategies with GIS: Advances, Collaborations, and Future Directions. Preprints. https://doi.org/10.20944/preprints202310.1372.v2
Chicago/Turabian Style
Suzzi-Simmons, A. and Kadambari Devarajan. 2023 "Enhancing Conservation Strategies with GIS: Advances, Collaborations, and Future Directions" Preprints. https://doi.org/10.20944/preprints202310.1372.v2
Abstract
The use of Geographical Information Systems (GIS) for biodiversity monitoring and conservation, shortened to Conservation GIS, is an influential tool that has revolutionized conservation efforts by providing spatially explicit data to inform conservation decision-making. However, Conservation GIS also faces challenges related to data quality and availability, technical limitations, as well as policy and governance issues. The diverse and rising uses of GIS for conservation has resulted in a need for continued research and development of Conservation GIS, including advancements in technology and data collection, integration with other fields such as machine learning and artificial intelligence, and collaborative approaches to Conservation GIS. Conservation GIS has the potential to make a significant impact on conservation efforts, and this article emphasizes the importance of its implementation to achieve the broader goal of biodiversity conservation for planetary health. In this review, we discuss the various applications of Conservation GIS, including biodiversity conservation and monitoring, habitat mapping and restoration, climate change mitigation and adaptation, wildlife tracking and management, and protected area management. We highlight some of the key knowledge gaps or research questions that need to be addressed in the future to further advance the field of Conservation GIS. By addressing these challenges and knowledge gaps, Conservation GIS can become a powerful tool for addressing the challenges facing biodiversity and ecosystems worldwide, and for promoting sustainable land-use practices.
Keywords
conservation gis; spatial data; biodiversity conservation; habitat mapping; protected area management; machine learning; artificial intelligence; remote sensing; data collection
Subject
Environmental and Earth Sciences, Remote Sensing
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
27 October 2023
Commenter:
Amanda Suzzi-Simmons
Commenter's Conflict of Interests:
Author
Comment:
updates and revisions - mainly the references, since they were a mess and another researchers alerted me to it. Please update the version online asap
Commenter: Amanda Suzzi-Simmons
Commenter's Conflict of Interests: Author