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Effects of topography on tropical forest structure depend on climate context

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Effects of topography on tropical forest structure depend on climate context. / Muscarella, Robert; Kolyaie, Samira; Morton, Douglas C. et al.

In: Journal of Ecology, Vol. 108, No. 1, 01.01.2020, p. 145-159.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Muscarella, R, Kolyaie, S, Morton, DC, Zimmerman, JK & Uriarte, M 2020, 'Effects of topography on tropical forest structure depend on climate context', Journal of Ecology, vol. 108, no. 1, pp. 145-159. https://doi.org/10.1111/1365-2745.13261

APA

Muscarella, R., Kolyaie, S., Morton, D. C., Zimmerman, J. K., & Uriarte, M. (2020). Effects of topography on tropical forest structure depend on climate context. Journal of Ecology, 108(1), 145-159. https://doi.org/10.1111/1365-2745.13261

CBE

Muscarella R, Kolyaie S, Morton DC, Zimmerman JK, Uriarte M. 2020. Effects of topography on tropical forest structure depend on climate context. Journal of Ecology. 108(1):145-159. https://doi.org/10.1111/1365-2745.13261

MLA

Vancouver

Muscarella R, Kolyaie S, Morton DC, Zimmerman JK, Uriarte M. Effects of topography on tropical forest structure depend on climate context. Journal of Ecology. 2020 Jan 1;108(1):145-159. https://doi.org/10.1111/1365-2745.13261

Author

Muscarella, Robert ; Kolyaie, Samira ; Morton, Douglas C. et al. / Effects of topography on tropical forest structure depend on climate context. In: Journal of Ecology. 2020 ; Vol. 108, No. 1. pp. 145-159.

Bibtex

@article{d747f1a30b994f2c991b4fedae789219,
title = "Effects of topography on tropical forest structure depend on climate context",
abstract = "Topography affects abiotic conditions which can influence the structure, function and dynamics of ecological communities. An increasing number of studies have demonstrated biological consequences of fine-scale topographic heterogeneity but we have a limited understanding of how these effects depend on the climate context. We merged high-resolution (1 m(2)) data on topography and canopy height derived from airborne lidar with ground-based data from 15 forest plots in Puerto Rico distributed along a precipitation gradient spanning c. 800-3,500 mm/year. Ground-based data included species composition, estimated above-ground biomass (AGB), and two key functional traits (wood density and leaf mass per area, LMA) that reflect resource-use strategies and a trade-off between hydraulic safety and hydraulic efficiency. We used hierarchical Bayesian models to evaluate how the interaction between topography x climate is related to metrics of forest structure (i.e. canopy height and AGB), as well as taxonomic and functional alpha- and beta-diversity. Fine-scale topography (characterized with the topographic wetness index, TWI) significantly affected forest structure and the strength (and in some cases direction) of these effects varied across the precipitation gradient. In all plots, canopy height increased with topographic wetness but the effect was much stronger in dry compared to wet forest plots. In dry forest plots, topographically wetter microsites also had higher levels of AGB but in wet forest plots, topographically drier microsites had higher AGB. Fine-scale topography influenced functional composition but had only weak or non-significant effects on taxonomic and functional alpha- and beta-diversity. For instance, community-weighted wood density followed a similar pattern to AGB across plots. We also found a marginally significant association between variation of wood density and topographic heterogeneity that depended on climate context. Synthesis. The effects of fine-scale topographic heterogeneity on tropical forest structure and composition depend on the climate context. Our study demonstrates how a stronger integration of topographic heterogeneity across precipitation gradients could improve estimates of forest structure and biomass, and may provide insight to the ways that topography might mediate species responses to drought and climate change.",
keywords = "above-ground biomass, canopy height, climate gradient, lidar, microtopographic heterogeneity, Puerto Rico, wood density, HABITAT ASSOCIATIONS, FUNCTIONAL CONVERGENCE, HYDRAULIC ARCHITECTURE, MOUNTAIN PASSES, PUERTO-RICO, BIOMASS, TREES, DISTRIBUTIONS, TEMPERATURE, DIVERSITY",
author = "Robert Muscarella and Samira Kolyaie and Morton, {Douglas C.} and Zimmerman, {Jess K.} and Maria Uriarte",
year = "2020",
month = jan,
day = "1",
doi = "10.1111/1365-2745.13261",
language = "English",
volume = "108",
pages = "145--159",
journal = "Journal of Ecology",
issn = "0022-0477",
publisher = "Wiley-Blackwell Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Effects of topography on tropical forest structure depend on climate context

AU - Muscarella, Robert

AU - Kolyaie, Samira

AU - Morton, Douglas C.

AU - Zimmerman, Jess K.

AU - Uriarte, Maria

PY - 2020/1/1

Y1 - 2020/1/1

N2 - Topography affects abiotic conditions which can influence the structure, function and dynamics of ecological communities. An increasing number of studies have demonstrated biological consequences of fine-scale topographic heterogeneity but we have a limited understanding of how these effects depend on the climate context. We merged high-resolution (1 m(2)) data on topography and canopy height derived from airborne lidar with ground-based data from 15 forest plots in Puerto Rico distributed along a precipitation gradient spanning c. 800-3,500 mm/year. Ground-based data included species composition, estimated above-ground biomass (AGB), and two key functional traits (wood density and leaf mass per area, LMA) that reflect resource-use strategies and a trade-off between hydraulic safety and hydraulic efficiency. We used hierarchical Bayesian models to evaluate how the interaction between topography x climate is related to metrics of forest structure (i.e. canopy height and AGB), as well as taxonomic and functional alpha- and beta-diversity. Fine-scale topography (characterized with the topographic wetness index, TWI) significantly affected forest structure and the strength (and in some cases direction) of these effects varied across the precipitation gradient. In all plots, canopy height increased with topographic wetness but the effect was much stronger in dry compared to wet forest plots. In dry forest plots, topographically wetter microsites also had higher levels of AGB but in wet forest plots, topographically drier microsites had higher AGB. Fine-scale topography influenced functional composition but had only weak or non-significant effects on taxonomic and functional alpha- and beta-diversity. For instance, community-weighted wood density followed a similar pattern to AGB across plots. We also found a marginally significant association between variation of wood density and topographic heterogeneity that depended on climate context. Synthesis. The effects of fine-scale topographic heterogeneity on tropical forest structure and composition depend on the climate context. Our study demonstrates how a stronger integration of topographic heterogeneity across precipitation gradients could improve estimates of forest structure and biomass, and may provide insight to the ways that topography might mediate species responses to drought and climate change.

AB - Topography affects abiotic conditions which can influence the structure, function and dynamics of ecological communities. An increasing number of studies have demonstrated biological consequences of fine-scale topographic heterogeneity but we have a limited understanding of how these effects depend on the climate context. We merged high-resolution (1 m(2)) data on topography and canopy height derived from airborne lidar with ground-based data from 15 forest plots in Puerto Rico distributed along a precipitation gradient spanning c. 800-3,500 mm/year. Ground-based data included species composition, estimated above-ground biomass (AGB), and two key functional traits (wood density and leaf mass per area, LMA) that reflect resource-use strategies and a trade-off between hydraulic safety and hydraulic efficiency. We used hierarchical Bayesian models to evaluate how the interaction between topography x climate is related to metrics of forest structure (i.e. canopy height and AGB), as well as taxonomic and functional alpha- and beta-diversity. Fine-scale topography (characterized with the topographic wetness index, TWI) significantly affected forest structure and the strength (and in some cases direction) of these effects varied across the precipitation gradient. In all plots, canopy height increased with topographic wetness but the effect was much stronger in dry compared to wet forest plots. In dry forest plots, topographically wetter microsites also had higher levels of AGB but in wet forest plots, topographically drier microsites had higher AGB. Fine-scale topography influenced functional composition but had only weak or non-significant effects on taxonomic and functional alpha- and beta-diversity. For instance, community-weighted wood density followed a similar pattern to AGB across plots. We also found a marginally significant association between variation of wood density and topographic heterogeneity that depended on climate context. Synthesis. The effects of fine-scale topographic heterogeneity on tropical forest structure and composition depend on the climate context. Our study demonstrates how a stronger integration of topographic heterogeneity across precipitation gradients could improve estimates of forest structure and biomass, and may provide insight to the ways that topography might mediate species responses to drought and climate change.

KW - above-ground biomass

KW - canopy height

KW - climate gradient

KW - lidar

KW - microtopographic heterogeneity

KW - Puerto Rico

KW - wood density

KW - HABITAT ASSOCIATIONS

KW - FUNCTIONAL CONVERGENCE

KW - HYDRAULIC ARCHITECTURE

KW - MOUNTAIN PASSES

KW - PUERTO-RICO

KW - BIOMASS

KW - TREES

KW - DISTRIBUTIONS

KW - TEMPERATURE

KW - DIVERSITY

U2 - 10.1111/1365-2745.13261

DO - 10.1111/1365-2745.13261

M3 - Journal article

VL - 108

SP - 145

EP - 159

JO - Journal of Ecology

JF - Journal of Ecology

SN - 0022-0477

IS - 1

ER -