Details
Original language | English |
---|---|
Title of host publication | COMPASS '23 |
Subtitle of host publication | Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies |
Pages | 1-11 |
Number of pages | 11 |
ISBN (electronic) | 9798400701498 |
Publication status | Published - 16 Aug 2023 |
Event | 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2023 - CapeTown, South Africa Duration: 16 Aug 2023 → 19 Aug 2023 |
Abstract
The interaction between elephants and their environment has profound implications for both ecology and conservation strategies. This study presents an analytical approach to decipher the intricate patterns of elephant movement in Sub-Saharan Africa, concentrating on key ecological drivers such as seasonal variations and rainfall patterns. Despite the complexities surrounding these influential factors, our analysis provides a holistic view of elephant migratory behavior in the context of the dynamic African landscape. Our comprehensive approach enables us to predict the potential impact of these ecological determinants on elephant migration, a critical step in establishing informed conservation strategies. This projection is particularly crucial given the impacts of global climate change on seasonal and rainfall patterns, which could substantially influence elephant movements in the future. The findings of our work aim to not only advance the understanding of movement ecology but also foster a sustainable coexistence of humans and elephants in Sub-Saharan Africa. By predicting potential elephant routes, our work can inform strategies to minimize human-elephant conflict, effectively manage land use, and enhance anti-poaching efforts. This research underscores the importance of integrating movement ecology and climatic variables for effective wildlife management and conservation planning.
Keywords
- Movement ecology, spatio-temporal data, trajectory analysis
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Hardware and Architecture
- Environmental Science(all)
- Environmental Science (miscellaneous)
- Social Sciences(all)
- Geography, Planning and Development
Sustainable Development Goals
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COMPASS '23: Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies. 2023. p. 1-11.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Analysis of Elephant Movement in Sub-Saharan Africa
T2 - 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, COMPASS 2023
AU - Hines, Matthew
AU - Glatzer, Gregory
AU - Ghosh, Shreya
AU - Mitra, Prasenjit
N1 - Funding Information: This research was partially funded by the Federal Ministry of Education and Research (BMBF), Germany under the project LeibnizK-ILabor with grant No. 01DD20003.
PY - 2023/8/16
Y1 - 2023/8/16
N2 - The interaction between elephants and their environment has profound implications for both ecology and conservation strategies. This study presents an analytical approach to decipher the intricate patterns of elephant movement in Sub-Saharan Africa, concentrating on key ecological drivers such as seasonal variations and rainfall patterns. Despite the complexities surrounding these influential factors, our analysis provides a holistic view of elephant migratory behavior in the context of the dynamic African landscape. Our comprehensive approach enables us to predict the potential impact of these ecological determinants on elephant migration, a critical step in establishing informed conservation strategies. This projection is particularly crucial given the impacts of global climate change on seasonal and rainfall patterns, which could substantially influence elephant movements in the future. The findings of our work aim to not only advance the understanding of movement ecology but also foster a sustainable coexistence of humans and elephants in Sub-Saharan Africa. By predicting potential elephant routes, our work can inform strategies to minimize human-elephant conflict, effectively manage land use, and enhance anti-poaching efforts. This research underscores the importance of integrating movement ecology and climatic variables for effective wildlife management and conservation planning.
AB - The interaction between elephants and their environment has profound implications for both ecology and conservation strategies. This study presents an analytical approach to decipher the intricate patterns of elephant movement in Sub-Saharan Africa, concentrating on key ecological drivers such as seasonal variations and rainfall patterns. Despite the complexities surrounding these influential factors, our analysis provides a holistic view of elephant migratory behavior in the context of the dynamic African landscape. Our comprehensive approach enables us to predict the potential impact of these ecological determinants on elephant migration, a critical step in establishing informed conservation strategies. This projection is particularly crucial given the impacts of global climate change on seasonal and rainfall patterns, which could substantially influence elephant movements in the future. The findings of our work aim to not only advance the understanding of movement ecology but also foster a sustainable coexistence of humans and elephants in Sub-Saharan Africa. By predicting potential elephant routes, our work can inform strategies to minimize human-elephant conflict, effectively manage land use, and enhance anti-poaching efforts. This research underscores the importance of integrating movement ecology and climatic variables for effective wildlife management and conservation planning.
KW - Movement ecology
KW - spatio-temporal data
KW - trajectory analysis
UR - http://www.scopus.com/inward/record.url?scp=85172872613&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2307.11325
DO - 10.48550/arXiv.2307.11325
M3 - Conference contribution
AN - SCOPUS:85172872613
SP - 1
EP - 11
BT - COMPASS '23
Y2 - 16 August 2023 through 19 August 2023
ER -