Abstract

Widespread forest dieback is a phenomenon of global concern that requires an improved understanding of the relationship between tree growth and climate to support conservation efforts. One priority for conservation is the Atlas cedar (Cedrus atlantica), an endangered species exhibiting dieback throughout its North African range. In this study, we evaluate the long-term context for recent dieback and develop a projection of future C. atlantica growth by exploring the periodic variability of its growth through time. First, we present a new C. atlantica tree-ring chronology (1150–2013 CE) from the Middle Atlas mountains, Morocco. We then compare the new chronology to existing C. atlantica chronologies in Morocco and use principal components analysis (PCA) to isolate the common periodic signal from the seven longest available records (PCA7, 1271–1984 CE) in the Middle and High Atlas portions of the C. atlantica range. PCA7 captures 55.7% of the variance and contains significant multidecadal (˜95 yr, ˜57 yr, ˜21 yr) periodic components, revealed through spectral and wavelet analyses. Parallel analyses of historical climate data (1901–2016 CE) suggests that the multidecadal growth signal originates primarily in growing season (spring and summer) precipitation variability, compounded by slow-changing components of summer and winter temperatures. Finally, we model the long-term growth patterns between 1271–1984 CE using a small number (three to four) of harmonic components, illustrating that suppressed growth since the 1970s – a factor implicated in the dieback of this species – is consistent with recurrent climatically-driven growth declines. Forward projection of this model suggests two climatically-favourable periods for growth in the 21st century that may enhance current conservation actions for the long-term survival of the C. atlantica in the Middle and High Atlas mountains.

Highlights

  • Quantifying the impact of climate change on ecological systems is one of the greatest scientific challenges of today (Easterling et al, 2000; Walther et al, 2002)

  • We compare the new chronology to existing C. atlantica chronologies in Morocco and use principal components analysis (PCA) to isolate the common periodic signal from the seven longest available records (PCA7, 1271–1984 CE) in the Middle and High Atlas portions of the C. atlantica range

  • We evaluate the current C. atlantica dieback in the context of growth patterns during the last 850 years to understand whether dieback episodes are consistent across the range of C. atlantica and have their origin in multidecadal climate variability

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Summary

Introduction

Quantifying the impact of climate change on ecological systems is one of the greatest scientific challenges of today (Easterling et al, 2000; Walther et al, 2002). Climate change is already linked to widespread forest dieback in a variety of ecosystems (Allen et al, 2010; Settele et al, 2014; McDowell and Allen, 2015; Neumann et al, 2017; Boulton et al, 2017). In northwest Africa, where drought is expected to intensify (Knippertz et al, 2003; Born et al, 2008), there is high to very high confidence that forested ecosystems are vulnerable to a biome shift under varying climate change scenarios (Gonzalez et al, 2010). Existing populations of C. atlantica are severely fragmented (Thomas, 2013), with a 75% decrease in range since the 1940s due to anthropogenic pressure and climatic changes

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