Journal metrics

Journal metrics

  • IF value: 3.176 IF 3.176
  • IF 5-year value: 3.108 IF 5-year 3.108
  • CiteScore value: 3.06 CiteScore 3.06
  • SNIP value: 0.978 SNIP 0.978
  • SJR value: 1.421 SJR 1.421
  • IPP value: 2.88 IPP 2.88
  • h5-index value: 13 h5-index 13
  • Scimago H index value: 13 Scimago H index 13
Discussion papers | Copyright
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 21 Feb 2018

Research article | 21 Feb 2018

Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Earth Surface Dynamics (ESurf).

Effect of changing vegetation on denudation (part 1): Predicted vegetation composition and cover over the last 21 thousand years along the Coastal Cordillera of Chile

Christian Werner1, Manuel Schmid2, Todd A. Ehlers2, Juan Pablo Fuentes-Espoz3, Jörg Steinkamp1, Matthew Forrest1, Johan Liakka4, Antonio Maldonado5, and Thomas Hickler1,6 Christian Werner et al.
  • 1Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt, Germany
  • 2University of Tuebingen, Department of Geosciences, Wilhelmstrasse 56, 72074 Tuebingen, Germany
  • 3Department of Silviculture and Nature Conservation, University of Chile, Av. Santa Rosa 11315, La Pintana, Santiago RM, Chile
  • 4Nansen Environmental and Remote Sensing Center, Bjerknes Centre for Climate Research, Thormøhlensgate 47, 5006 Bergen, Norway
  • 5Centro de Estudios Avanzados en Zonas Áridas (CEAZA), Raúl Bitrán 1305, La Serena, Chile
  • 6Department of Physical Geography, Geosciences, Goethe-University, Altenhoeferallee 1, 60438 Frankfurt, Germany

Abstract. Vegetation is crucial for modulating rates of denudation and landscape evolution as it stabilizes and protects hillslopes and intercepts rainfall. Climate conditions and atmospheric CO2 concentration ([CO2]) influence the establishment and performance of plants and thus have a direct influence on vegetation cover. In addition, vegetation dynamics (competition for space, light, nutrients and water) and stochastic events (mortality and fires) determine the state of vegetation, response times to environmental perturbations, and the successional development. In spite of this, state-of-art reconstructions of past transient vegetation changes have not been accounted for in landscape evolution models. Here, a widely used dynamic vegetation model (LPJ-GUESS) was used to simulate vegetation composition/ cover and surface runoff in Chile for the Last Glacial Maximum (LGM), Mid Holocene (MH) and present day (PD). In addition, we conducted transient vegetation simulations from LGM to PD for four sites of the Coastal Cordillera of Chile at a spatial and temporal resolution adequate for coupling with landscape evolution models.

Using a regionally-adapted parametrization, LPJ-GUESS was capable of reproducing present day potential natural vegetation along the strong climatic gradients of Chile and simulated vegetation cover was also in line with satellite-based observations. Simulated vegetation during the LGM differed markedly from PD conditions. Coastal cold temperate rainforests where displaced northward by about 5° and the tree line and vegetation zones were at lower elevations than at PD. Transient vegetation simulations indicate a marked shift in vegetation composition starting with the past-glacial warming that coincides with a rise in [CO2]. Vegetation cover between the sites ranged from 13% (LGM: 8%) to 81% (LGM: 73%) for the northern Pan de Azúcar and southern Nahuelbuta sites, respectively, but did not vary by more than 10% over the 21,000yr simulation. A sensitivity study suggests that [CO2] is an important driver of vegetation changes and, thereby, potentially landscape evolution. Comparisons with other paleoclimate model driver highlight the importance of model input on simulated vegetation.

In the near future, we will directly couple LPJ-GUESS to a landscape evolution model (see companion paper) to build a fully-coupled dynamic-vegetation/ landscape evolution model that is forced with paleoclimate data from atmospheric general circulation models.

Download & links
Christian Werner et al.
Interactive discussion
Status: final response (author comments only)
Status: final response (author comments only)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Christian Werner et al.
Christian Werner et al.
Total article views: 516 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
395 106 15 516 22 6 10
  • HTML: 395
  • PDF: 106
  • XML: 15
  • Total: 516
  • Supplement: 22
  • BibTeX: 6
  • EndNote: 10
Views and downloads (calculated since 21 Feb 2018)
Cumulative views and downloads (calculated since 21 Feb 2018)
Viewed (geographical distribution)
Total article views: 516 (including HTML, PDF, and XML) Thereof 513 with geography defined and 3 with unknown origin.
Country # Views %
  • 1
No saved metrics found.
No discussed metrics found.
Latest update: 21 Jul 2018
Publications Copernicus
Short summary
Vegetation is crucial for modulating rates of denudation and landscape evolution, and is directly influenced by climate conditions and atmospheric CO2 concentrations. Using transient climate data and a state-of-the-art dynamic vegetation model we simulate the vegetation composition and cover from the Last Glacial Maximum to present along the Coastal Cordillera of Chile. In part 2 we assess the landscape response to transient climate and vegetation cover using a landscape evolution model.
Vegetation is crucial for modulating rates of denudation and landscape evolution, and is...