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Canopy structure and topography jointly constrain the microclimate of human‐modified tropical landscapes
Abstract
Local‐scale microclimatic conditions in forest understoreys play a key role in shaping the composition, diversity and function of these ecosystems. Consequently, understanding what drives variation in forest microclimate is critical to forecasting ecosystem responses to global change, particularly in the tropics where many species already operate close to their thermal limits and rapid land‐use transformation is profoundly altering local environments. Yet our ability to characterize forest microclimate at ecologically meaningful scales remains limited, as understorey conditions cannot be directly measured from outside the canopy. To address this challenge, we established a network of microclimate sensors across a land‐use intensity gradient spanning from old‐growth forests to oil‐palm plantations in Borneo. We then combined these observations with high‐resolution airborne laser scanning data to characterize how topography and canopy structure shape variation in microclimate both locally and across the landscape. In the processes, we generated high‐resolution microclimate surfaces spanning over 350 km 2 , which we used to explore the potential impacts of habitat degradation on forest regeneration under both current and future climate scenarios. We found that topography and vegetation structure were strong predictors of local microclimate, with elevation and terrain curvature primarily constraining daily mean temperatures and vapour pressure deficit (VPD), whereas canopy height had a clear dampening effect on microclimate extremes. This buffering effect was particularly pronounced on wind‐exposed slopes but tended to saturate once canopy height exceeded 20 m—suggesting that despite intensive logging, secondary forests remain largely thermally buffered. Nonetheless, at a landscape‐scale microclimate was highly heterogeneous, with maximum daily temperatures ranging between 24.2 and 37.2°C and VPD spanning two orders of magnitude. Based on this, we estimate that by the end of the century forest regeneration could be hampered in degraded secondary forests that characterize much of Borneo's lowlands if temperatures continue to rise following projected trends.
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![FIGURE 1 Piecewise structural equation models relating variation in (a) annual mean temperature ( T mean) and vapour pressure deficit (VPDmean) and (b) mean maximum daily temperature ( T max) and vapour pressure deficit (VPDmax) to canopy structural and topographic metrics. The models also capture the effects of logging pressure and land -use intensity on maximum canopy height ( H max), as well as the covariation between H max and plant area index (PAI) -which was explicitly accounted for by taking the residuals of a regression relating PAI to H max as a predictor of temperature and VPD in the models. Dark grey arrows denote positive relationships, while light ones correspond to negative associations. The width of the arrows reflects the strength of the pathway and is proportional to the standardized path coefficient (reported in Appendix S3). A dashed arrow was used to represent the interaction effect between aspect and H max. Only pathways that were significant to p ≤ 0.05 are shown. R 2 values are reported for each endogenous variable. Additionally, panels (b) and (d) provide a breakdown of how much of the variance in T mean, VPDmean, T max and VPDmax was explained by topographic metrics, canopy structural metrics and (in the case of VPD) by temperature [Colour figure can be viewed at wileyonlinelibrary.com]](/paper-figures/b008992fe40b48dfa8bccd7362c32e42/canopy-structure-and-topography-jointly-constrain-the-microclimate-of-figure-1.png)






![FIGURE 4 Variation in (a) elevation, (b) maximum canopy height, ( c ) mean annual temperature, (d) mean maximum daily temperature, (e) mean annual vapour pressure deficit and (f) mean maximum daily vapour pressure deficit across the Stability of Altered Forest Ecosystems (SAFE) landscape at 50 × 50 m resolution. Panels (c -f) correspond to predicted values obtained from the regression models described in the main text and illustrated in Figure 1 [Colour figure can be viewed at wileyonlinelibrary.com]](/paper-figures/5e4ef4c6452942d8b343bf334c78c08a/canopy-structure-and-topography-jointly-constrain-the-microclimate-of-figure-4.png)
![FIGURE 5 Areas of the SAFE landscape where mean maximum daily vapour pressure deficit (VPDmax) is predicted to exceed hypothesized transpiration thresholds (12 and 15 hPa) for tree seedlings under current (dark red) and future climate conditions (light red). Results for two different IPCC representative concentration pathways (RCP) are shown: the RCP4.5 emission mitigation scenario (a and b) and the RCP8.5 business -as -usual scenario (c and d). The percentage of 50 × 50 m pixels exceeding VPDmax thresholds is given in brackets for each scenario. The black contour lines mark the current extent of oil -palm plantations within the SAFE landscape, as well as areas dominated by short scrubby vegetation that develops in the aftermath of logging and of bare ground [Colour figure can be viewed at wileyonlinelibrary.com]](/paper-figures/93656e61727149c3be31ad20be026d90/canopy-structure-and-topography-jointly-constrain-the-microclimate-of-figure-5.png)
![FIGURE 6 Systematic differences between ALS -derived understorey microclimatic conditions and WorldClim2 gridded climate surfaces. Panel (a) shows the probability density distribution of mean annual temperature values predicted from ALS -derived canopy structural and topographic metrics across the Stability of Altered Forest Ecosystems (SAFE) landscape (as mapped in Figure 4c) and those obtained from the WorldClim2 database for the same area. Panel (b) illustrates how -for a given point within the SAFE landscape -the difference between these two temperature surfaces changes according to the maximum canopy height of that pixel. Large black circles correspond to mean difference values (± 1 standard deviation) calculated at 2 m height intervals. Panels (c and d) show these same patterns for maximum temperature [Colour figure can be viewed at wileyonlinelibrary.com]](/paper-figures/d1d60f3302f24c8a9c2beeb1a45b5cd9/canopy-structure-and-topography-jointly-constrain-the-microclimate-of-figure-6.png)
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“While it has been shown that in the tropics, higher canopies provide a stronger dampening effect on microclimate extremes11”
From A high-resolution canopy height model of the Earth (2023) · cites this paper as [11]
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A high-resolution canopy height model of the Earth
Lang, N., Jetz, W., Schindler, K., & Wegner, J. D. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02206-6 · Cited by 810
Soundscapes predict species occurrence in tropical forests
Sethi, S. S., Ewers, R. M., Jones, N. S., Sleutel, J., Shabrani, A., Zulkifli, N., & Picinali, L. (2022) · Oikos · doi:10.1111/oik.08525 · Cited by 34
Self-citation
Metadata
- Authors
- Jucker, T., Hardwick, S. R., Both, S., Elias, D. M. O., Ewers, R. M., Milodowski, D. T., Swinfield, T., & Coomes, D. A.
- Affiliations
- Forest Ecology and Conservation group, Department of Plant Sciences University of Cambridge Cambridge UK
- Blackett Laboratory, Department of Physics Imperial College London London UK
- School of Environmental and Rural Science University of New England Armidale NSW Australia
- Lancaster Environment Centre Lancaster University Lancaster UK
- Imperial College London Ascot UK
- School of GeoSciences University of Edinburgh Edinburgh UK
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2018-09-23
- Volume
- 24
- Issue
- 11
- Pages
- 5243-5258
- ISSN
- 1354-1013
- 1365-2486
- Cited by
- 281
- References
- 3
- Language
- en
- Funders
- Natural Environment Research Council (NE/K016377/1)
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