Modeling Potential Impacts of Planting Palms or Tree in Small Holder Fruit Plantations on Ecohydrological Processes in the Central Amazon

Kunert, Norbert; Aparecido, L. M. T.; Barros, Priscila Castro de; Higuchi, Níro

doi:10.3390/f6082530

Cited by 8 publications

(3 citation statements)

References 31 publications

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“…However, these low absolute rates of the interplanted trees of relatively small diameter (DBH range 4.2-11.0 cm) compare well with values provided for rubber trees of similarly small diameter in a previous study in the lowlands of Sumatra (Niu, Röll, Meijide, Hendrayanto, & Hölscher, 2017). The general observation of high water use per palm also corresponds with data from Amazonian fruit plantations, where it was found that palms consumed 3.5 times more water than trees (Kunert, Aparecido, Barros, & Higuchi, 2015).…”

Section: Discussionsupporting

confidence: 86%

“…This is likely due to the reduction of oil palm stand density by previous thinning in the agroforest, which leads to increases in light, soil water, and nutrient availability for the remaining oil palms in the stand. The general observation of high water use per palm also corresponds with data from Amazonian fruit plantations, where it was found that palms consumed 3.5 times more water than trees (Kunert, Aparecido, Barros, & Higuchi, 2015). The mean individual tree water use in agroforest, on the other hand, was very low (1.1-19.8 kg day −1 ) compared with the water use of the surrounding oil palms.…”

Section: Discussionsupporting

confidence: 76%

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Drone‐based photogrammetry‐derived crown metrics for predicting tree and oil palm water use

et al. 2019

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Transpiration at the stand level is often estimated from water use measurements on a limited number of plants and then scaled up by predicting the remaining plants of a stand by plant size-related variables. Today, drone-based methods offer new opportunities for plant size assessments. We tested crown variables derived from drone-based photogrammetry for predicting and scaling plant water use. In an oil palm agroforest and an oil palm monoculture plantation in lowland Sumatra, Indonesia, tree and oil palm water use rates were measured by sap flux techniques.Simultaneously, aerial images were taken from an octocopter equipped with an Red Green Blue (RGB) camera. We used the structure from motion approach to compute several crown variables such as crown length, width, and volume. Crown volumes for both palms (69%) and trees (81%) explained much of the observed spatial variability in water use; however, the specific crown volume model differed between palms and trees and there was no single linear model fitting for both. Among the trees, crown volume explained more of the observed variability than stem diameter, and in consequence, uncertainties in stand level estimates resulting from scaling were largely reduced. For oil palms, an appropriate whole-plant size-related predictor variable was thus far not available. Stand level transpiration estimates in the studied oil palm agroforest were lower than those in the oil palm monoculture, which is probably due to the small-statured trees. In conclusion, we consider drone-derived crown metrics very useful for the scaling from single plant water use to stand-level transpiration.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 76%

Drone‐based photogrammetry‐derived crown metrics for predicting tree and oil palm water use

et al. 2019

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“…However, it is important to note that this percentage is over cross sections that can reach~3 m 2 per tree compared with only~0.004 m 2 for a typical suppressed tree. This underscores the importance of using a representative sampling method based on the size distribution appropriate for the forest type (Andrade et al, 2005;Kunert et al, 2015a).…”

Section: Discussionmentioning

confidence: 99%

Comparison of tree transpiration under wet and dry canopy conditions in a Costa Rican premontane tropical forest

Aparecido

Miller

Cahill

et al. 2016

Hydrological Processes

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Spatial and temporal variation in wet canopy conditions following precipitation events can influence processes such as transpiration and photosynthesis, which can be further enhanced as upper canopy leaves dry more rapidly than the understory following each event. As part of a larger study aimed at improving land surface modelling of evapotranspiration processes in wet tropical forests, we compared transpiration among trees with exposed and shaded crowns under both wet and dry canopy conditions in central Costa Rica, which has an average 4200 mm annual rainfall. Transpiration was estimated for 5 months using 43 sap flux sensors in eight dominant, ten midstory and eight suppressed trees in a mature forest stand surrounding a 40‐m tower equipped with micrometeorological sensors. Dominant trees were 13% of the plot's trees and contributed around 76% to total transpiration at this site, whereas midstory and suppressed trees contributed 18 and 5%, respectively. After accounting for vapour pressure deficit and solar radiation, leaf wetness was a significant driver of sap flux, reducing it by as much as 28%. Under dry conditions, sap flux rates (Js) of dominant trees were similar to midstory trees and were almost double that of suppressed trees. On wet days, all trees had similarly low Js. As expected, semi‐dry conditions (dry upper canopy) led to higher Js in dominant trees than midstory, which had wetter leaves, but semi‐dry conditions only reduced total stand transpiration slightly and did not change the relative proportion of transpiration from dominant and midstory. Therefore, models that better capture forest stand wet–dry canopy dynamics and individual tree water use strategies are needed to improve accuracy of predictions of water recycling over tropical forests. Copyright © 2016 John Wiley & Sons, Ltd.

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Comparison of water-use characteristics of landscape tree (Tabebuia argentea) and palm (Ptychosperma macarthurii) species in a tropical roof garden with implications for urban water management

et al. 2018

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Modeling Potential Impacts of Planting Palms or Tree in Small Holder Fruit Plantations on Ecohydrological Processes in the Central Amazon

Cited by 8 publications

References 31 publications

Drone‐based photogrammetry‐derived crown metrics for predicting tree and oil palm water use

Drone‐based photogrammetry‐derived crown metrics for predicting tree and oil palm water use

Comparison of tree transpiration under wet and dry canopy conditions in a Costa Rican premontane tropical forest

Comparison of water-use characteristics of landscape tree (Tabebuia argentea) and palm (Ptychosperma macarthurii) species in a tropical roof garden with implications for urban water management

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