Integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes
Successful conservation of long-lived species requires reliable understanding of long-term trends and historical baselines. We present a framework for evaluating abundance trends and conservation outcomes for long-lived marine species by integrating local ecological knowledge (LEK), ecological monitoring, and computer simulation, tested on a case-study of long-lived and heavily exploited green turtles (Chelonia mydas) in the Eastern Pacific. Models fit to LEK and monitoring data indicate that turtle abundance is increasing, but only after ∼40 years of safeguarding the species’ nesting and foraging habitats in Mexico. However, current abundance is at ∼60% of baseline levels and historic population structure has not been reestablished, indicating the need for sustained, long-term conservation actions. We demonstrate the potential of linking LEK and ecological science to provide critical information for conservation, by establishing reference baselines and gauging population status with a long-term historical perspective, while promoting equitable and sustainable futures.
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Format: | Texto biblioteca |
Language: | eng |
Subjects: | Chelonia mydas, Tortugas marinas, Especies marinas longevas, Monitoreo ambiental, Conocimiento ecológico tradicional, Ecología histórica, Simulación por computadora, Conservación de los recursos marinos, |
Online Access: | https://doi.org/10.1111/conl.12921 |
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KOHA-OAI-ECOSUR:629722024-03-11T15:20:42ZIntegrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes Early Capistrán, Michelle María autora Solana Arellano, Elena autora Abreu Grobois, F. Alberto autor Garibay Melo, Gerardo autor Seminoff, Jeffrey A. autor Sáenz Arroyo de los Cobos, María Andrea Doctora 1971- autora 21175 Narchi, Nemer E. autor 14073 textengSuccessful conservation of long-lived species requires reliable understanding of long-term trends and historical baselines. We present a framework for evaluating abundance trends and conservation outcomes for long-lived marine species by integrating local ecological knowledge (LEK), ecological monitoring, and computer simulation, tested on a case-study of long-lived and heavily exploited green turtles (Chelonia mydas) in the Eastern Pacific. Models fit to LEK and monitoring data indicate that turtle abundance is increasing, but only after ∼40 years of safeguarding the species’ nesting and foraging habitats in Mexico. However, current abundance is at ∼60% of baseline levels and historic population structure has not been reestablished, indicating the need for sustained, long-term conservation actions. We demonstrate the potential of linking LEK and ecological science to provide critical information for conservation, by establishing reference baselines and gauging population status with a long-term historical perspective, while promoting equitable and sustainable futures.Successful conservation of long-lived species requires reliable understanding of long-term trends and historical baselines. We present a framework for evaluating abundance trends and conservation outcomes for long-lived marine species by integrating local ecological knowledge (LEK), ecological monitoring, and computer simulation, tested on a case-study of long-lived and heavily exploited green turtles (Chelonia mydas) in the Eastern Pacific. Models fit to LEK and monitoring data indicate that turtle abundance is increasing, but only after ∼40 years of safeguarding the species’ nesting and foraging habitats in Mexico. However, current abundance is at ∼60% of baseline levels and historic population structure has not been reestablished, indicating the need for sustained, long-term conservation actions. We demonstrate the potential of linking LEK and ecological science to provide critical information for conservation, by establishing reference baselines and gauging population status with a long-term historical perspective, while promoting equitable and sustainable futures.Chelonia mydasTortugas marinasEspecies marinas longevasMonitoreo ambientalConocimiento ecológico tradicionalEcología históricaSimulación por computadoraConservación de los recursos marinosConservation Lettershttps://doi.org/10.1111/conl.12921Acceso en línea sin restricciones |
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topic |
Chelonia mydas Tortugas marinas Especies marinas longevas Monitoreo ambiental Conocimiento ecológico tradicional Ecología histórica Simulación por computadora Conservación de los recursos marinos Chelonia mydas Tortugas marinas Especies marinas longevas Monitoreo ambiental Conocimiento ecológico tradicional Ecología histórica Simulación por computadora Conservación de los recursos marinos |
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Chelonia mydas Tortugas marinas Especies marinas longevas Monitoreo ambiental Conocimiento ecológico tradicional Ecología histórica Simulación por computadora Conservación de los recursos marinos Chelonia mydas Tortugas marinas Especies marinas longevas Monitoreo ambiental Conocimiento ecológico tradicional Ecología histórica Simulación por computadora Conservación de los recursos marinos Early Capistrán, Michelle María autora Solana Arellano, Elena autora Abreu Grobois, F. Alberto autor Garibay Melo, Gerardo autor Seminoff, Jeffrey A. autor Sáenz Arroyo de los Cobos, María Andrea Doctora 1971- autora 21175 Narchi, Nemer E. autor 14073 Integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes |
description |
Successful conservation of long-lived species requires reliable understanding of long-term trends and historical baselines. We present a framework for evaluating abundance trends and conservation outcomes for long-lived marine species by integrating local ecological knowledge (LEK), ecological monitoring, and computer simulation, tested on a case-study of long-lived and heavily exploited green turtles (Chelonia mydas) in the Eastern Pacific. Models fit to LEK and monitoring data indicate that turtle abundance is increasing, but only after ∼40 years of safeguarding the species’ nesting and foraging habitats in Mexico. However, current abundance is at ∼60% of baseline levels and historic population structure has not been reestablished, indicating the need for sustained, long-term conservation actions. We demonstrate the potential of linking LEK and ecological science to provide critical information for conservation, by establishing reference baselines and gauging population status with a long-term historical perspective, while promoting equitable and sustainable futures. |
format |
Texto |
topic_facet |
Chelonia mydas Tortugas marinas Especies marinas longevas Monitoreo ambiental Conocimiento ecológico tradicional Ecología histórica Simulación por computadora Conservación de los recursos marinos |
author |
Early Capistrán, Michelle María autora Solana Arellano, Elena autora Abreu Grobois, F. Alberto autor Garibay Melo, Gerardo autor Seminoff, Jeffrey A. autor Sáenz Arroyo de los Cobos, María Andrea Doctora 1971- autora 21175 Narchi, Nemer E. autor 14073 |
author_facet |
Early Capistrán, Michelle María autora Solana Arellano, Elena autora Abreu Grobois, F. Alberto autor Garibay Melo, Gerardo autor Seminoff, Jeffrey A. autor Sáenz Arroyo de los Cobos, María Andrea Doctora 1971- autora 21175 Narchi, Nemer E. autor 14073 |
author_sort |
Early Capistrán, Michelle María autora |
title |
Integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes |
title_short |
Integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes |
title_full |
Integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes |
title_fullStr |
Integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes |
title_full_unstemmed |
Integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes |
title_sort |
integrating local ecological knowledge, ecological monitoring, and computer simulation to evaluate conservation outcomes |
url |
https://doi.org/10.1111/conl.12921 |
work_keys_str_mv |
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