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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Main Authors: 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
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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spelling 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
institution ECOSUR
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-ecosur
tag biblioteca
region America del Norte
libraryname Sistema de Información Bibliotecario de ECOSUR (SIBE)
language eng
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
spellingShingle 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
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