Abstract

Long-term monitoring is essential for the identification of population trends, and to understand how these trends are affected by climate variability. The El Niño Southern Oscillation (ENSO) is the strongest global interannual pattern of climate variability, resulting in the disruption of the annual phenological cycles of sea turtles. Among sea turtles, the Olive Ridley (Lepidochelys olivacea) is the most abundant, and on many beaches their nests are relocated to hatcheries as part of conservation management, especially in northern Central America. However, Olive Ridley nesting abundance trends in northern Central America and the effects of ENSO variability on these trends are still not fully understood. Here, we present the first long-term study of this subject. We predicted an upward trend in Olive Ridley nesting abundance on the Pacific coast of Guatemala, and a negative effect of increasing ENSO variability on nesting abundance. As proxies for nesting abundance, we analysed two different data sets; a 16-year period of Olive Ridley nesting data, using nesting tracks from one index beach (Hawaii in Guatemala), and the yearly number of eggs buried in the 25–35 hatcheries that operate along the Pacific coast of Guatemala. Revised Multivariate ENSO Index values were applied to estimate annual ENSO variability. During this 16-year study period, ENSO variability was distributed in eight neutral years, two normal El Niño years, four normal La Niña years and two extreme ENSO events; an extreme La Niña in 2010 and an extreme El Niño in 2015. We found a clear overall upward trend in Olive Ridley numbers of nesting tracks and eggs buried in hatcheries but no clear effect of ENSO variability on these nesting abundance proxies. However, a decrease in the net change of eggs buried in hatcheries occurred the respective years after the two extreme ENSO events during the study period. In the second year after those events, the net change of eggs buried in hatcheries bounced back to resume the overall positive trend. Our results suggest a clear upward trend, resilient to ENSO variability, of the nesting abundance of the Pacific coast Olive Ridley population in Guatemala. Community-based hatchery management efforts seem to be effective for Olive Ridley conservation on the Pacific coast of Guatemala. However, longer term monitoring including additional nesting beaches in northern Central America are necessary to further elucidate the effects of ENSO variability on the nesting abundance of Olive Ridley.

Highlights

  • An increase in climate variability caused by current climate change is greatly affecting biodiversity and annual phenological cycles of many animal species (Cohen et al, 2018)

  • Revised Multivariate El Nin~o Southern Oscillation (ENSO) Index values were applied to estimate annual ENSO variability. During this 16-year study period, ENSO variability was distributed in eight neutral years, two normal El Nin~o years, four normal La Nin~a years and two extreme ENSO events; an extreme La Nin~a in 2010 and an extreme El Nin~o in 2015

  • The mean number of Olive Ridley eggs buried annually in the hatcheries along the Pacific coast of Guatemala was 233,750 ± 172,682, ranging from 46,048 eggs in 2003 to 590,405 in 2018. During this 16-year study period, ENSO variability was distributed in eight neutral years, two normal El Nin~o years, four normal La Nin~a years and two extreme ENSO events: La Nin~a in 2010 and El Nin~o in 2015 (Table 1)

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Summary

Introduction

An increase in climate variability caused by current climate change is greatly affecting biodiversity and annual phenological cycles of many animal species (Cohen et al, 2018). Data series obtained through series of successive observations along several years can reveal long-term trends that may reflect climatic or anthropogenic influences (Sukhotin and Berger, 2013). Long-term monitoring permits the separation of these trends from the noise of highly variable natural data and is especially relevant for the assessment of conservation actions in the context of climatic change (Sukhotin and Berger, 2013; Cheney et al, 2014; Rodríguez-Gonzalez et al, 2017; Guerra et al, 2019). Extreme El Nin~o and La Nin~a are characterized by even warmer/colder sea surfaces, with Extreme El Nin~o phase originating in the eastern equatorial Pacific while extreme La Nin~a phase originates in the central Pacific (McPhaden et al, 2006; Cai et al, 2015a)

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