Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes

Global warming can jeopardize important ecosystem functions and services in sensitive Neotropical mountain areas. However, untangling the relative roles of natural climate variability pattern from current global warming trends still represent a major challenge. Here, we propose a novel analytical ap...

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Main Authors: Rodríguez-Morata C, Madrigal-González J, Stoffel M, Ballesteros-Cánovas JA
Format: Article
Language:English
Published: Italian Society of Silviculture and Forest Ecology (SISEF) 2020-06-01
Series:iForest - Biogeosciences and Forestry
Subjects:
Online Access:https://iforest.sisef.org/contents/?id=ifor3124-013
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spelling doaj-f49e5fe963e24a79ba9a6b31b1a1d36e2020-11-25T03:53:15ZengItalian Society of Silviculture and Forest Ecology (SISEF)iForest - Biogeosciences and Forestry1971-74581971-74582020-06-0113119420110.3832/ifor3124-0133124Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian AndesRodríguez-Morata C0Madrigal-González J1Stoffel M2Ballesteros-Cánovas JA3Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Boulevard Carl-Vogt 66, CH-1205 Geneva (Switzerland)Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Boulevard Carl-Vogt 66, CH-1205 Geneva (Switzerland)Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Boulevard Carl-Vogt 66, CH-1205 Geneva (Switzerland)Climate Change Impacts and Risks in the Anthropocene (C-CIA), Institute for Environmental Sciences, University of Geneva, Boulevard Carl-Vogt 66, CH-1205 Geneva (Switzerland)Global warming can jeopardize important ecosystem functions and services in sensitive Neotropical mountain areas. However, untangling the relative roles of natural climate variability pattern from current global warming trends still represent a major challenge. Here, we propose a novel analytical approach based on Structural Equation Models to evaluate the relative roles of different sources of climate variability on tree growth. Specifically, we investigate direct and indirect linkages between Basal Area Increments (BAI) and a set of different climatic sources of variability, such as: (i) large-scale atmospheric oscillation patterns (i.e., the El Niño Southern Oscillation, ENSO and the Pacific Decadal Oscillation, PDO); and (ii) local meteorology in terms of temperature and precipitation. Additionally, we included in the SEM framework other important variables such as: (iii) calendar year (representative of temporal linear trends); and (iv) tree size (representative of main biological trends). Results indicate that the ENSO and PDO modulate minimum temperatures (Tmin) in the study area. These indices describe the oscillating behavior of the climatic modes (i.e., South Oscillation Index and PDO index) and are negatively correlated with Tmin. As such, they also influence tree growth (represented here by BAI) indirectly. Furthermore, through its direct impact on Tmin increase, ongoing climate warming has an indirect negative effect on BAI, thereby implying that the ongoing temperature rise could exert control on productivity in high mountain forests of the Andes, and that this influence could become more important with continued temperature increase.https://iforest.sisef.org/contents/?id=ifor3124-013global warmingtree growth variabilitypodocarpus glomeratus don.andean forestperustructural equation model (sem)
collection DOAJ
language English
format Article
sources DOAJ
author Rodríguez-Morata C
Madrigal-González J
Stoffel M
Ballesteros-Cánovas JA
spellingShingle Rodríguez-Morata C
Madrigal-González J
Stoffel M
Ballesteros-Cánovas JA
Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes
iForest - Biogeosciences and Forestry
global warming
tree growth variability
podocarpus glomeratus don.
andean forest
peru
structural equation model (sem)
author_facet Rodríguez-Morata C
Madrigal-González J
Stoffel M
Ballesteros-Cánovas JA
author_sort Rodríguez-Morata C
title Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes
title_short Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes
title_full Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes
title_fullStr Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes
title_full_unstemmed Climate impacts on tree growth in a Neotropical high mountain forest of the Peruvian Andes
title_sort climate impacts on tree growth in a neotropical high mountain forest of the peruvian andes
publisher Italian Society of Silviculture and Forest Ecology (SISEF)
series iForest - Biogeosciences and Forestry
issn 1971-7458
1971-7458
publishDate 2020-06-01
description Global warming can jeopardize important ecosystem functions and services in sensitive Neotropical mountain areas. However, untangling the relative roles of natural climate variability pattern from current global warming trends still represent a major challenge. Here, we propose a novel analytical approach based on Structural Equation Models to evaluate the relative roles of different sources of climate variability on tree growth. Specifically, we investigate direct and indirect linkages between Basal Area Increments (BAI) and a set of different climatic sources of variability, such as: (i) large-scale atmospheric oscillation patterns (i.e., the El Niño Southern Oscillation, ENSO and the Pacific Decadal Oscillation, PDO); and (ii) local meteorology in terms of temperature and precipitation. Additionally, we included in the SEM framework other important variables such as: (iii) calendar year (representative of temporal linear trends); and (iv) tree size (representative of main biological trends). Results indicate that the ENSO and PDO modulate minimum temperatures (Tmin) in the study area. These indices describe the oscillating behavior of the climatic modes (i.e., South Oscillation Index and PDO index) and are negatively correlated with Tmin. As such, they also influence tree growth (represented here by BAI) indirectly. Furthermore, through its direct impact on Tmin increase, ongoing climate warming has an indirect negative effect on BAI, thereby implying that the ongoing temperature rise could exert control on productivity in high mountain forests of the Andes, and that this influence could become more important with continued temperature increase.
topic global warming
tree growth variability
podocarpus glomeratus don.
andean forest
peru
structural equation model (sem)
url https://iforest.sisef.org/contents/?id=ifor3124-013
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