*
 

iForest - Biogeosciences and Forestry

iForest - Biogeosciences and Forestry
*

Reply: “Use of BIOME-BGC to simulate Mediterranean forest carbon stocks”

iForest - Biogeosciences and Forestry, Volume 4, Issue 5, Pages 249-249 (2011)
doi: https://doi.org/10.3832/ifor0594-004
Published: Nov 03, 2011 - Copyright © 2011 SISEF

Commentaries & Perspectives

The current note responds to the critical contribution of Dr. Eastaugh on Chiesi et al. ([1]). That paper did not aim at applying BIOME-BGC to simulate stand growth, which requires a thorough modification of the model functions. In contrast, only a parameter setting was changed in order to adjust the predicted carbon storages during the simulation of quasi-equilibrium conditions. The adjustment was calibrated on volume statistics derived from the Tuscany forest inventory and is suitable for regional scale applications.

Mediterranean forest, BIOME-BGC, Forest volume, Current annual increment

   

The critical contribution of Dr. Eastaugh is welcome and testifies to the widespread interest in this important research field ([3]). We have, however, the impression that he has not fully addressed the objectives of our study ([1]), as well as the assumptions used. Our investigation, in fact, was not aimed at modifying BIOME-BGC simulation of stand growth, as seemingly asserted by Dr. Eastaugh. As clearly highlighted in the paper introduction and conclusions, our objective was to adjust the carbon storages predicted by the model during its simulation of quasi-equilibrium (or steady state) conditions.

BIOME-BGC, at least in its original configuration, is not a growth model, since it does not simulate stand development and ageing, and trees are not individually repre­sented ([2], S.W. Running - personal communication). The simulated ecosystems are composed of plants in va­rious growing phases which mimic the age distribution of forests in natural conditions. More precisely, BIOME-BGC was develo­ped to simulate the processes of natural biomes based on some key simplifying assumptions usable on regional levels ([8]).

This property is maintained in our approach. The BIOME-BGC versions used still simulate forests in steady state conditions. The modification proposed is only aimed at reducing long-term carbon accumulation in stems and coarse roots, which was found to be unreasonably high for some forest species (see also [5]). This modification was based on both volume values taken from local literature and volume measurements derived from the Tuscany regional forest inventory. In this latter case, no information was available about tree age distribution in the inventoried stands, which were likely uneven-aged. Thus, we simply used the statistical assumption that stands with maximum volumes approached quasi-equilibrium conditions, and these volumes were taken as corresponding to 90-95% of the potential ones.

Consequently, the new BIOME-BGC versions obtained are almost identical to the original ones, with the exception of the carbon accumulated in more stable tree compartments. These versions work with the same logic of the original model, and are therefore unsuited to simulate actively growing stands.

The strategy to account for departures from these potential conditions is based on a different rationale, which is fully exposed and discussed in Maselli et al. ([4]). That strategy still applies to forest ecosystems characterised by heterogeneous age distributions, and is not suited to simulate the growth and ageing of specific stands. To this aim, more complex modifications must be applied to the model functions, as is correctly done by other research groups (e.g., [9], [6], [7]).

  References

(1)
Chiesi M, Chirici G, Barbati A, Salvati R, Maselli F (2011). Use of BIOME_BGC to simulate Mediterranean forest carbon stocks. iForest 4: 121-127.
CrossRef | Gscholar
(2)
Churkina G, Tenhunen J, Thornton P, Falge EM, Elbers JA, Erhard M, Grunwald T, Kowalski AS, Rannik U, Sprinz D (2003). Analyzing the ecosystem carbon dynamics of four European coniferous forests using a biogeochemistry model. Ecosystems 6: 168-184.
CrossRef | Gscholar
(3)
Eastaugh CS (2011). Comment on Chiesi et al. (2011): “Use of BIOME-BGC to simulate Mediterranean forest carbon stocks”. iForest 4: 248.
CrossRef | Gscholar
(4)
Maselli F, Chiesi M, Moriondo M, Fibbi L, Bindi M, Running SW (2009). Integration of ground and satellite data to simulate the forest carbon budget of a Mediterranean region. Ecological Modelling 220: 330-342.
CrossRef | Gscholar
(5)
Maselli F, Chiesi M, Barbati A, Corona P (2010). Assessment of forest net primary production through the elaboration of multisource ground and remote sensing data. Journal of Environmental Monitoring 12: 1082-1091.
CrossRef | Gscholar
(6)
Pietsch SA, Hasenauer H (2002). Using mechanistic modelling within forest ecosystem restoration. Forest Ecology and Management 159: 111-131.
CrossRef | Gscholar
(7)
Pietsch SA, Hasenauer H, Thornton PE (2005). BGC-model parameters for tree species growing in central European forests. Forest Ecology and Management 211: 264-295.
CrossRef | Gscholar
(8)
Tatarinov FA, Cienciala E (2006). Application of BIOME-BGC model to managed forests 1. Sensitivity analysis. Forest Ecology and Management 237: 267-279.
CrossRef | Gscholar
(9)
Thornton PE, Law BE, Gholz HL, Clark KL, Falge E, Ellsworth DS, Goldstein AH, Monson RK, Hollinger D, Falk M, Chen J, Sparks JP (2002). Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests. Agricultural and Forest Meteorology 113: 185-222.
CrossRef | Gscholar

Authors’ Affiliation

(1)
M Chiesi
F Maselli
IBIMET-CNR, via Madonna del Piano 10, I-50019 Sesto Fiorentino (FI - Italy)
(2)
G Chirici
EcoGeoFor - Università del Molise, Contrada Fonte Lappone snc, I-86090 Pesche (IS - Italy)
(3)
A Barbati
R Salvati
DISAFRI - Università della Tuscia, via S. Camillo Lellis snc, I-01100 Viterbo (VT - Italy).

Corresponding author

Citation

Chiesi M, Chirici G, Barbati A, Salvati R, Maselli F (2011). Reply: “Use of BIOME-BGC to simulate Mediterranean forest carbon stocks”. iForest 4: 249-249. - doi: 10.3832/ifor0594-004

Academic Editor

Marco Borghetti

Paper history

Received: Jul 27, 2011
Accepted: Aug 01, 2011

First online: Nov 03, 2011
Publication Date: Nov 03, 2011
Publication Time: 3.13 months

© SISEF - The Italian Society of Silviculture and Forest Ecology 2011

  Open Access

This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Creative Commons Licence

Breakdown by View Type

(Waiting for server response...)

Article Usage

Total Article Views: 50384
(from publication date up to now)

Breakdown by View Type
HTML Page Views: 43824
Abstract Page Views: 2296
PDF Downloads: 3145
Citation/Reference Downloads: 13
XML Downloads: 1106

Web Metrics
Days since publication: 4779
Overall contacts: 50384
Avg. contacts per week: 73.80

Article citations are based on data periodically collected from the Clarivate Web of Science web site
(last update: Feb 2023)

(No citations were found up to date. Please come back later)


 

Publication Metrics

by Dimensions ©

List of the papers citing this article based on CrossRef Cited-by.

 

iForest Similar Articles

 

This website uses cookies to ensure you get the best experience on our website. More info