Modeling canopy interception under drought conditions: The relevance of evaporation and extra sources of energy. (15th August 2021)
- Record Type:
- Journal Article
- Title:
- Modeling canopy interception under drought conditions: The relevance of evaporation and extra sources of energy. (15th August 2021)
- Main Title:
- Modeling canopy interception under drought conditions: The relevance of evaporation and extra sources of energy
- Authors:
- Ferreira Rodrigues, André
Rogério de Mello, Carlos
Nehren, Udo
Pedro de Coimbra Ribeiro, João
Alves Mantovani, Vanessa
Marcio de Mello, José - Abstract:
- Abstract: Modeling canopy interception is fundamental for understanding the forests' role in local and regional hydrology. In this study, canopy interception (CI), throughfall (TF), and stemflow (SF) were evaluated for a semi-deciduous Atlantic Forest (AFR) from 2013 to 2019, where a prolonged dry period occurred. The Gash and Liu models were analyzed in detail to determine the most appropriate for modeling CI throughout drought conditions. Thus, the climatic parameters were retrieved annually by a modified TF-based method (EI% ), whereas the structural parameters represented the entire period. The contribution of the energy stored in the forest (i.e. air and biomass; Q) to CI was also assessed in the AFR stand. Both models performed well when using EI%, as the Gash model overestimated CI by 71 mm (4.6%), whereas the Liu model underestimated it by only 13 mm (0.85%). This performance is due to an increased Q and turbulent mechanisms (such as advection and strong updrafts) that occur in drought conditions and are indirectly accounted for in EI% . However, the Liu model stood out for modeling CI under a prolonged dry period, as the exponential wetting approach better represents the complex canopies of the semi-deciduous forests. Thus, we recommend the Liu model and additional energy sources when dealing with prolonged droughts, as in the case of climate change scenarios projected to the studied region. Graphical abstract: Image 1 Highlights: The new methodology for canopyAbstract: Modeling canopy interception is fundamental for understanding the forests' role in local and regional hydrology. In this study, canopy interception (CI), throughfall (TF), and stemflow (SF) were evaluated for a semi-deciduous Atlantic Forest (AFR) from 2013 to 2019, where a prolonged dry period occurred. The Gash and Liu models were analyzed in detail to determine the most appropriate for modeling CI throughout drought conditions. Thus, the climatic parameters were retrieved annually by a modified TF-based method (EI% ), whereas the structural parameters represented the entire period. The contribution of the energy stored in the forest (i.e. air and biomass; Q) to CI was also assessed in the AFR stand. Both models performed well when using EI%, as the Gash model overestimated CI by 71 mm (4.6%), whereas the Liu model underestimated it by only 13 mm (0.85%). This performance is due to an increased Q and turbulent mechanisms (such as advection and strong updrafts) that occur in drought conditions and are indirectly accounted for in EI% . However, the Liu model stood out for modeling CI under a prolonged dry period, as the exponential wetting approach better represents the complex canopies of the semi-deciduous forests. Thus, we recommend the Liu model and additional energy sources when dealing with prolonged droughts, as in the case of climate change scenarios projected to the studied region. Graphical abstract: Image 1 Highlights: The new methodology for canopy evaporation (EI% ) is recommended in dry years. The Liu model is a better approach for tropical forests in drought conditions. Energy stored inside the AFR is important on wet canopy evaporation. Advection from surrounding areas drives the enhanced canopy evaporation. … (more)
- Is Part Of:
- Journal of environmental management. Volume 292(2021)
- Journal:
- Journal of environmental management
- Issue:
- Volume 292(2021)
- Issue Display:
- Volume 292, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 292
- Issue:
- 2021
- Issue Sort Value:
- 2021-0292-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-08-15
- Subjects:
- Tropical forest -- Liu model -- Energy stored rate (ESR) -- Energy advection -- Biomass energy -- Gash model
Environmental policy -- Periodicals
Environmental management -- Periodicals
Environment -- Periodicals
Ecology -- Periodicals
363.705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03014797 ↗
http://www.elsevier.com/journals ↗
http://www.idealibrary.com ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1016/j.jenvman.2021.112710 ↗
- Languages:
- English
- ISSNs:
- 0301-4797
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4979.383000
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British Library HMNTS - ELD Digital store - Ingest File:
- 17106.xml