Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models
Poaching can have major impacts on wild animal populations and is pervasive in tropical regions. The spatial distribution of this furtive activity is particularly difficult to estimate in large natural areas, and this hinders the development of effective anti-poaching strategies. We used passive aco...
| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Artículo |
| Language: | Inglés |
| Published: |
Elsevier
2023
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.12123/13985 https://www.sciencedirect.com/science/article/abs/pii/S0006320722001537 https://doi.org/10.1016/j.biocon.2022.109600 |
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| author | Martinez Pardo, Julia Cruz, Paula Moya, Sergio Pizzio, Carlos Esteban Folleto, Fernardo Robino, Facundo Aquino, Jesica Costa, Sebastian Barros, Yara Cleo, Falcao Di Bitetti, Mario Santiago Iezzi, Maria Eugenia Paviolo, Agustín De Angelo, Carlos |
| author_browse | Aquino, Jesica Barros, Yara Cleo, Falcao Costa, Sebastian Cruz, Paula De Angelo, Carlos Di Bitetti, Mario Santiago Folleto, Fernardo Iezzi, Maria Eugenia Martinez Pardo, Julia Moya, Sergio Paviolo, Agustín Pizzio, Carlos Esteban Robino, Facundo |
| author_facet | Martinez Pardo, Julia Cruz, Paula Moya, Sergio Pizzio, Carlos Esteban Folleto, Fernardo Robino, Facundo Aquino, Jesica Costa, Sebastian Barros, Yara Cleo, Falcao Di Bitetti, Mario Santiago Iezzi, Maria Eugenia Paviolo, Agustín De Angelo, Carlos |
| author_sort | Martinez Pardo, Julia |
| collection | INTA Digital |
| description | Poaching can have major impacts on wild animal populations and is pervasive in tropical regions. The spatial distribution of this furtive activity is particularly difficult to estimate in large natural areas, and this hinders the development of effective anti-poaching strategies. We used passive acoustic recorders in combination with occupancy models to develop a predictive map of poaching presence in the Upper Paran´a Atlantic Forest of Argentina and Brazil. Poaching activity was measured by gunshots detected by the recorders that were active for 7 months (August 2018 to February 2019) on 90 sampling sites distributed in an area of 4637 km2. A total of
15,936 h of landscape sounds were recorded, detecting gunshots at 43 sites. Using occupancy models, we evaluated eight variables that might influence poaching occurrence and detectability. Poaching was higher in areas with higher accessibility, with a higher proportion of rural areas, and far from control posts of park rangers. The detectability of gunshots was lower during periods of heavy rainfall. We validated the occupancy models through field surveys conducted in the same period resulting in a predictive capacity of 82% of our best model. Our results show that this region is under very high poaching pressure, even within the protected area's
boundaries and that urgent actions must be taken. The methods we used for estimating poaching pressure and the predictive maps developed could serve as a tool for developing and implementing anti-poaching strategies to reduce this pervasive threat. |
| format | Artículo |
| id | INTA13985 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | INTA139852023-02-15T14:35:41Z Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models Martinez Pardo, Julia Cruz, Paula Moya, Sergio Pizzio, Carlos Esteban Folleto, Fernardo Robino, Facundo Aquino, Jesica Costa, Sebastian Barros, Yara Cleo, Falcao Di Bitetti, Mario Santiago Iezzi, Maria Eugenia Paviolo, Agustín De Angelo, Carlos Caza Furtiva Caza Bosque Húmedo Conservación del Ecosistema Poaching Hunting Rainforests Ecosystem Conservation Poaching can have major impacts on wild animal populations and is pervasive in tropical regions. The spatial distribution of this furtive activity is particularly difficult to estimate in large natural areas, and this hinders the development of effective anti-poaching strategies. We used passive acoustic recorders in combination with occupancy models to develop a predictive map of poaching presence in the Upper Paran´a Atlantic Forest of Argentina and Brazil. Poaching activity was measured by gunshots detected by the recorders that were active for 7 months (August 2018 to February 2019) on 90 sampling sites distributed in an area of 4637 km2. A total of 15,936 h of landscape sounds were recorded, detecting gunshots at 43 sites. Using occupancy models, we evaluated eight variables that might influence poaching occurrence and detectability. Poaching was higher in areas with higher accessibility, with a higher proportion of rural areas, and far from control posts of park rangers. The detectability of gunshots was lower during periods of heavy rainfall. We validated the occupancy models through field surveys conducted in the same period resulting in a predictive capacity of 82% of our best model. Our results show that this region is under very high poaching pressure, even within the protected area's boundaries and that urgent actions must be taken. The methods we used for estimating poaching pressure and the predictive maps developed could serve as a tool for developing and implementing anti-poaching strategies to reduce this pervasive threat. Estación Experimental Agropecuaria Bariloche Fil: Martinez Pardo, Julia. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: Cruz, Paula. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: Cruz, Paula. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Moya, Sergio. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Pizzio, Carlos Esteban. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche; Argentina Fil: Pizzio, Carlos Esteban. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina Fil: Foletto, Fernardo. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: Foletto, Fernardo. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Robino, Facundo. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: Robino, Facundo. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Aquino, Jesica. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Aquino, Jesica. Museo Argentino de Ciencias Naturales; Argentina Fil: Costa, Sebastian. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: Costa, Sebastian. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Barros, Yara. Parque Nacional Foz do Iguaçu. Projeto Onças do Iguaçu; Brasil Fil: Cleo, Falcao. Parque Nacional Foz do Iguaçu. Projeto Onças do Iguaçu; Brasil Fil: Di Bitetti, Mario Santiago. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: Di Bitetti, Mario Santiago. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Iezzi, Maria Eugenia. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: Iezzi, Maria Eugenia. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: Paviolo, Agustín. Universidad Nacional de Misiones; Argentina Fil: Paviolo, Agustín. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina Fil: De Angelo, Carlos. Universidad Nacional de Misiones. Instituto de Biología Suptropical; Argentina Fil: De Angelo, Carlos. Asociacion Civil Centro de Investigaciones del Bosque Atlantico; Argentina 2023-02-15T14:30:59Z 2023-02-15T14:30:59Z 2022-08 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/13985 https://www.sciencedirect.com/science/article/abs/pii/S0006320722001537 0006-3207 1873-2917 https://doi.org/10.1016/j.biocon.2022.109600 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Biological Conservation 272 : Art: 109600 (Agosto 2022) |
| spellingShingle | Caza Furtiva Caza Bosque Húmedo Conservación del Ecosistema Poaching Hunting Rainforests Ecosystem Conservation Martinez Pardo, Julia Cruz, Paula Moya, Sergio Pizzio, Carlos Esteban Folleto, Fernardo Robino, Facundo Aquino, Jesica Costa, Sebastian Barros, Yara Cleo, Falcao Di Bitetti, Mario Santiago Iezzi, Maria Eugenia Paviolo, Agustín De Angelo, Carlos Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models |
| title | Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models |
| title_full | Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models |
| title_fullStr | Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models |
| title_full_unstemmed | Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models |
| title_short | Predicting poaching hotspots in the largest remnant of the Atlantic Forest by combining passive acoustic monitoring and occupancy models |
| title_sort | predicting poaching hotspots in the largest remnant of the atlantic forest by combining passive acoustic monitoring and occupancy models |
| topic | Caza Furtiva Caza Bosque Húmedo Conservación del Ecosistema Poaching Hunting Rainforests Ecosystem Conservation |
| url | http://hdl.handle.net/20.500.12123/13985 https://www.sciencedirect.com/science/article/abs/pii/S0006320722001537 https://doi.org/10.1016/j.biocon.2022.109600 |
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