Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Modeling potential equilibrium states of vegetation and terrestrial water cycle of mesoamerica under climate change scenarios

Imbach, Pablo ; Molina, Luis ; Locatelli, Bruno ; Roupsard, Olivier ; Mahé, Gil ; Neilson, Ronald ; Corrales, Lenin ; Scholze, Marko LU and Ciais, Philippe (2012) In Journal of Hydrometeorology 13(2). p.665-680
Abstract

The likelihood and magnitude of the impacts of climate change on potential vegetation and the water cycle in Mesoamerica is evaluated. Mesoamerica is a global biodiversity hotspot with highly diverse topographic and climatic conditions and is among the tropical regions with the highest expected changes in precipitation and temperature under future climate scenarios. The biogeographic soil-vegetation-atmosphere model Mapped Atmosphere Plant Soil System (MAPSS) was used for simulating the integrated changes in leaf area index (LAI), vegetation types (grass, shrubs, and trees), evapotranspiration, and runoff at the end of the twenty-first century. Uncertainty was estimated as the likelihood of changes in vegetation and water cycle under... (More)

The likelihood and magnitude of the impacts of climate change on potential vegetation and the water cycle in Mesoamerica is evaluated. Mesoamerica is a global biodiversity hotspot with highly diverse topographic and climatic conditions and is among the tropical regions with the highest expected changes in precipitation and temperature under future climate scenarios. The biogeographic soil-vegetation-atmosphere model Mapped Atmosphere Plant Soil System (MAPSS) was used for simulating the integrated changes in leaf area index (LAI), vegetation types (grass, shrubs, and trees), evapotranspiration, and runoff at the end of the twenty-first century. Uncertainty was estimated as the likelihood of changes in vegetation and water cycle under three ensembles of model runs, one for each of the groups of greenhouse gas emission scenarios (low, intermediate, and high emissions), for a total of 136 runs generated with 23 general circulation models (GCMs). LAI is likely to decrease over 77%-89% of the region, depending on climate scenario groups, showing that potential vegetation will likely shift from humid to dry types. Accounting for potential effects of CO2 on water use efficiency significantly decreased impacts on LAI. Runoff will decrease across the region even in areas where precipitation increases (even under increased water use efficiency), as temperature change will increase evapotranspiration. Higher emission scenarios show lower uncertainty (higher likelihood) in modeled impacts. Although the projection spread is high for future precipitation, the impacts of climate change on vegetation and water cycle are predicted with relatively low uncertainty.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Biosphere-atmosphere interaction, Central America, Climate change, Complex terrain, Ecological models, Evapotranspiration, Hydrologic cycle, Tropics, Vegetation-atmosphere interactions
in
Journal of Hydrometeorology
volume
13
issue
2
pages
16 pages
publisher
American Meteorological Society
external identifiers
  • scopus:84864779943
ISSN
1525-755X
DOI
10.1175/JHM-D-11-023.1
language
English
LU publication?
no
id
cff4c4e2-a3ab-4425-a913-f9e8fafb2f96
date added to LUP
2019-03-14 21:16:45
date last changed
2022-04-02 07:09:14
@article{cff4c4e2-a3ab-4425-a913-f9e8fafb2f96,
  abstract     = {{<p>The likelihood and magnitude of the impacts of climate change on potential vegetation and the water cycle in Mesoamerica is evaluated. Mesoamerica is a global biodiversity hotspot with highly diverse topographic and climatic conditions and is among the tropical regions with the highest expected changes in precipitation and temperature under future climate scenarios. The biogeographic soil-vegetation-atmosphere model Mapped Atmosphere Plant Soil System (MAPSS) was used for simulating the integrated changes in leaf area index (LAI), vegetation types (grass, shrubs, and trees), evapotranspiration, and runoff at the end of the twenty-first century. Uncertainty was estimated as the likelihood of changes in vegetation and water cycle under three ensembles of model runs, one for each of the groups of greenhouse gas emission scenarios (low, intermediate, and high emissions), for a total of 136 runs generated with 23 general circulation models (GCMs). LAI is likely to decrease over 77%-89% of the region, depending on climate scenario groups, showing that potential vegetation will likely shift from humid to dry types. Accounting for potential effects of CO2 on water use efficiency significantly decreased impacts on LAI. Runoff will decrease across the region even in areas where precipitation increases (even under increased water use efficiency), as temperature change will increase evapotranspiration. Higher emission scenarios show lower uncertainty (higher likelihood) in modeled impacts. Although the projection spread is high for future precipitation, the impacts of climate change on vegetation and water cycle are predicted with relatively low uncertainty.</p>}},
  author       = {{Imbach, Pablo and Molina, Luis and Locatelli, Bruno and Roupsard, Olivier and Mahé, Gil and Neilson, Ronald and Corrales, Lenin and Scholze, Marko and Ciais, Philippe}},
  issn         = {{1525-755X}},
  keywords     = {{Biosphere-atmosphere interaction; Central America; Climate change; Complex terrain; Ecological models; Evapotranspiration; Hydrologic cycle; Tropics; Vegetation-atmosphere interactions}},
  language     = {{eng}},
  month        = {{08}},
  number       = {{2}},
  pages        = {{665--680}},
  publisher    = {{American Meteorological Society}},
  series       = {{Journal of Hydrometeorology}},
  title        = {{Modeling potential equilibrium states of vegetation and terrestrial water cycle of mesoamerica under climate change scenarios}},
  url          = {{http://dx.doi.org/10.1175/JHM-D-11-023.1}},
  doi          = {{10.1175/JHM-D-11-023.1}},
  volume       = {{13}},
  year         = {{2012}},
}