Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo

El Niño events generate periods of relatively low precipitation, low cloud cover and high temperature over the rainforests of Southeast Asia, but their impact on tree physiology remains poorly understood. Here we use remote sensing and functional trait approaches—commonly used to understand plant ac...

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Main Authors: M H Nunes, S Both, B Bongalov, C Brelsford, S Khoury, D F R P Burslem, C Philipson, N Majalap, T Riutta, D A Coomes, M E J Cutler
Format: Article
Language:English
Published: IOP Publishing 2019-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ab2eae
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author M H Nunes
S Both
B Bongalov
C Brelsford
S Khoury
D F R P Burslem
C Philipson
N Majalap
T Riutta
D A Coomes
M E J Cutler
author_facet M H Nunes
S Both
B Bongalov
C Brelsford
S Khoury
D F R P Burslem
C Philipson
N Majalap
T Riutta
D A Coomes
M E J Cutler
author_sort M H Nunes
collection DOAJ
description El Niño events generate periods of relatively low precipitation, low cloud cover and high temperature over the rainforests of Southeast Asia, but their impact on tree physiology remains poorly understood. Here we use remote sensing and functional trait approaches—commonly used to understand plant acclimation to environmental fluctuations—to evaluate rainforest responses to an El Niño event at a site in northern Borneo. Spaceborne measurements (i.e. normalised difference vegetation index calculated from Moderate Resolution Imaging Spectroradiometer data) show the rainforest canopy greened throughout 2015, coinciding with a strengthening of the El Niño event in Sabah, Malaysia, then lost greenness in early 2016, when the El Niño was at its peak. Leaf chemical and structural traits measured for mature leaves of 65 species (104 branches from 99 tree canopies), during and after this El Niño event revealed that chlorophyll and carotenoid concentrations were 35% higher in mid 2015 than in mid 2016. Foliar concentrations of the nutrients N, P, K and Mg did not vary, suggesting the mineralisation and transportation processes were unaffected by the El Niño event. Leaves contained more phenolics, tannins and cellulose but less Ca and lignin during the El Niño event, with concentration shifts varying strongly among species. These changes in functional traits were also apparent in hyperspectral reflectance data collected using a field spectrometer, particularly in the shortwave infrared region. Leaf-level acclimation and leaf turnover could have driven the trait changes observed. We argue that trees were not water limited in the initial phase of the El Niño event, and responded by flushing new leaves, seen in the canopy greening trend and higher pigment concentrations (associated with young leaves); we argue that high evaporative demand and depleted soil water eventually caused leaves to drop in 2016. However, further studies are needed to confirm these ideas. Time-series of vegetation dynamics obtained from space can only be understood if changes in functional traits, as well as the quantity of leaves in canopies, are monitored on the ground.
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spelling doaj.art-ce2c45397bfa49fc99e289f173e583af2023-08-09T14:44:29ZengIOP PublishingEnvironmental Research Letters1748-93262019-01-0114808500510.1088/1748-9326/ab2eaeChanges in leaf functional traits of rainforest canopy trees associated with an El Niño event in BorneoM H Nunes0https://orcid.org/0000-0001-9979-6456S Both1B Bongalov2C Brelsford3S Khoury4D F R P Burslem5C Philipson6N Majalap7T Riutta8D A Coomes9M E J Cutler10https://orcid.org/0000-0002-3893-1068Department of Plant Sciences, Forest Ecology and Conservation Group, University of Cambridge , Cambridge, United KingdomEnvironmental and Rural Science, University of New England , Armidale 2351, NSW, AustraliaDepartment of Plant Sciences, Forest Ecology and Conservation Group, University of Cambridge , Cambridge, United KingdomDepartment of Biosciences, Canopy Spectral Ecology and Ecophysiology Group, University of Helsinki , FinlandDepartment of Plant Sciences, Forest Ecology and Conservation Group, University of Cambridge , Cambridge, United KingdomSchool of Biological Sciences, University of Aberdeen , Aberdeen, AB24 3FX United KingdomDepartment of Environmental Systems Science, ETH Zurich, Universitätstrasse 16, 8092 Zürich, SwitzerlandSabah Forestry Department, Sandakan, 90009, MalaysiaSchool of Geography and the Environment, Environmental Change Institute, University of Oxford , Oxford, OX1 3QY, United KingdomDepartment of Plant Sciences, Forest Ecology and Conservation Group, University of Cambridge , Cambridge, United KingdomGeography, School of Social Sciences, University of Dundee , Dundee, DD1 4HN United KingdomEl Niño events generate periods of relatively low precipitation, low cloud cover and high temperature over the rainforests of Southeast Asia, but their impact on tree physiology remains poorly understood. Here we use remote sensing and functional trait approaches—commonly used to understand plant acclimation to environmental fluctuations—to evaluate rainforest responses to an El Niño event at a site in northern Borneo. Spaceborne measurements (i.e. normalised difference vegetation index calculated from Moderate Resolution Imaging Spectroradiometer data) show the rainforest canopy greened throughout 2015, coinciding with a strengthening of the El Niño event in Sabah, Malaysia, then lost greenness in early 2016, when the El Niño was at its peak. Leaf chemical and structural traits measured for mature leaves of 65 species (104 branches from 99 tree canopies), during and after this El Niño event revealed that chlorophyll and carotenoid concentrations were 35% higher in mid 2015 than in mid 2016. Foliar concentrations of the nutrients N, P, K and Mg did not vary, suggesting the mineralisation and transportation processes were unaffected by the El Niño event. Leaves contained more phenolics, tannins and cellulose but less Ca and lignin during the El Niño event, with concentration shifts varying strongly among species. These changes in functional traits were also apparent in hyperspectral reflectance data collected using a field spectrometer, particularly in the shortwave infrared region. Leaf-level acclimation and leaf turnover could have driven the trait changes observed. We argue that trees were not water limited in the initial phase of the El Niño event, and responded by flushing new leaves, seen in the canopy greening trend and higher pigment concentrations (associated with young leaves); we argue that high evaporative demand and depleted soil water eventually caused leaves to drop in 2016. However, further studies are needed to confirm these ideas. Time-series of vegetation dynamics obtained from space can only be understood if changes in functional traits, as well as the quantity of leaves in canopies, are monitored on the ground.https://doi.org/10.1088/1748-9326/ab2eaeEl Niñoleaf greeningleaf trait dynamicsground-based reflectancetropical forests
spellingShingle M H Nunes
S Both
B Bongalov
C Brelsford
S Khoury
D F R P Burslem
C Philipson
N Majalap
T Riutta
D A Coomes
M E J Cutler
Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo
Environmental Research Letters
El Niño
leaf greening
leaf trait dynamics
ground-based reflectance
tropical forests
title Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo
title_full Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo
title_fullStr Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo
title_full_unstemmed Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo
title_short Changes in leaf functional traits of rainforest canopy trees associated with an El Niño event in Borneo
title_sort changes in leaf functional traits of rainforest canopy trees associated with an el nino event in borneo
topic El Niño
leaf greening
leaf trait dynamics
ground-based reflectance
tropical forests
url https://doi.org/10.1088/1748-9326/ab2eae
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