Transpiration in a sub-tropical ridge-top cloud forest

García-Santos, Glenda

doi:10.1016/j.jhydrol.2011.08.069

Cited by 13 publications

(4 citation statements)

References 37 publications

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“…The hyperbolic tangent activation function chosen for the hidden nodes has been applied for similar problems, such as transpiration and trunk sap flow (Meijun et al 2007, Liu et al 2009, with satisfactory results. The most extended option for the output layer is that of linear activation functions (Vrugt et al 2002, Garcia-Santos 2011, as it avoids directly the limitation of the range of possible output values. However, in our case the tests carried out with this option yielded a systematic underestimation of the higher values of transpiration.…”

mentioning

confidence: 99%

Coupling daily transpiration modelling with forest management in a semiarid pine plantation

Fernandes¹,

Campo²,

García-Bartual³

et al. 2016

iForest

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Estimating forest transpiration is of great importance for Adaptive Forest Management (AFM) in the scope of climate change prediction. AFM in the Mediterranean region usually generates a mosaic of different canopy covers within the same forest. Several models and methods are available to estimate forest transpiration, but most require a homogeneous forest cover, or an individual calibration/validation process for each cover stand. Hence, a model capable of reproducing accurately the transpiration of the whole canopy-cover mosaic is necessary. In this paper, the use of Artificial Neural Network (ANN) is proposed as a flexible tool for estimating forest transpiration using the forest cover as an input variable. To that end, sap flow, soil water content and other environmental variables were experimentally collected under five Aleppo pine stands of different canopy covers for two years. These sets of inputs were then used for the ANN training. Stand transpiration was accurately estimated using climate data, soil water content and forest cover through the ANN approach (correlation coefficient R = 0.95; Nash-Sutcliffe coefficient E = 0.90; root-meansquare error RMSE = 0.078 mm day -1 ). Finally, the input value for soil water content (when not available) was computed using the process-based model Gotilwa+. Then, this computed soil water content was used as input in the proposed ANN. This combination predicted the forest transpiration with values of R = 0.90, E = 0.63, and RMSE = 0.068 mm day -1 . Artificial Neural Network proved to be a useful and flexible tool to predict the transpiration dynamics of an Aleppo pine stand regardless of the heterogeneity of the forest cover produced by adaptive forest management.

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mentioning

confidence: 99%

Coupling daily transpiration modelling with forest management in a semiarid pine plantation

Fernandes¹,

Campo²,

García-Bartual³

et al. 2016

iForest

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“…The study area comprises La Gomera and its National Park, Garajonay, Spain. The regional climate is characterized by low mean annual precipitation of 660 ± 247 mm (García-Santos, 2007, 2012, high relative humidity, mild temperatures (5-7 • C in winter and 25 • C in summer) and low insolation due to the frequent presence of clouds. The humid conditions provided by fog enable the occurrence of Laurisilva woodlands on the island.…”

Section: Case Study: La Gomera Islandmentioning

confidence: 99%

Methodology to explore emergent behaviours of the interactions between water resources and ecosystem under a pluralistic approach

et al. 2018

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Abstract. Understanding the interactions between water resources and its social dimensions is crucial for an effective and sustainable water management. The identification of sensitive control variables and feedback loops of a specific human-hydro-scape can enhance the knowledge about the potential factors and/or agents leading to the current water resources and ecosystems situation, which in turn supports the decision-making process of desirable futures. Our study presents the utility of a system dynamics modeling approach for water management and decision-making for the case of a forest ecosystem under risk of wildfires. We use the pluralistic water research concept to explore different scenarios and simulate the emergent behaviour of water interception and net precipitation after a wildfire in a forest ecosystem. Through a case study, we illustrate the applicability of this new methodology.

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“…Tree ring chronologies reflect the complex interaction of climatic and environmental conditions at sites where samples are taken (Fritts 1976). In our case, the BAIi chronology reflected a two-stage pattern of oscillations, with a break point around the early 1980s that was independent of the treatment.…”

Section: Tree Growthmentioning

confidence: 99%

“…On the contrary, the high intensity thinning treatments revealed the potential growth capacity. Growth by tree-ring chronologies reflects the complex interaction of climatic and environmental conditions (Fritts 1976). However, changes in the environmental conditions that trees experience does not only originate from climatic changes, but also from changes in forest stand structure due to forest management practices (Churakova (Sidorova) et al, 2014), such as thinning.…”

Section: -Relationship Between Tree-growth and Climate After Thinningmentioning

confidence: 99%

Water-oriented management in forest plantations: combining hydrology, dendrochronology and ecophysiology

Fernandes¹,

Jose²

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Transpiration in a sub-tropical ridge-top cloud forest

Cited by 13 publications

References 37 publications

Coupling daily transpiration modelling with forest management in a semiarid pine plantation

Coupling daily transpiration modelling with forest management in a semiarid pine plantation

Methodology to explore emergent behaviours of the interactions between water resources and ecosystem under a pluralistic approach

Water-oriented management in forest plantations: combining hydrology, dendrochronology and ecophysiology

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