Modeling soil organic carbon dynamics in temperate forests with Yasso07
<p>In a context of global changes, modeling and predicting the dynamics of soil carbon stocks (CSs) in forest ecosystems are vital but challenging. Yasso07 is considered to be one of the most promising models for such a purpose. We examine the accuracy of its prediction of soil carbon dynamics...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-05-01
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| Series: | Biogeosciences |
| Online Access: | https://www.biogeosciences.net/16/1955/2019/bg-16-1955-2019.pdf |
| _version_ | 1819017950059823104 |
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| author | Z. Mao Z. Mao D. Derrien M. Didion J. Liski J. Liski T. Eglin M. Nicolas M. Jonard L. Saint-André L. Saint-André |
| author_facet | Z. Mao Z. Mao D. Derrien M. Didion J. Liski J. Liski T. Eglin M. Nicolas M. Jonard L. Saint-André L. Saint-André |
| author_sort | Z. Mao |
| collection | DOAJ |
| description | <p>In a context of global changes, modeling and predicting the
dynamics of soil carbon stocks (CSs) in forest ecosystems are vital but challenging.
Yasso07 is considered to be one of the most promising models for such a purpose. We
examine the accuracy of its prediction of soil carbon dynamics over the whole
French metropolitan territory at a decennial timescale.</p>
<p>We used data from 101 sites in the RENECOFOR network, which encompasses most
of the French temperate forests. These data include (i) the quantity of
above-ground litterfall from 1994 to 2008, measured yearly, and (ii) the soil
CSs measured twice at an interval of approximately 15 years (once
in the early 1990s and around 2010). We used Yasso07 to simulate the annual
changes in carbon stocks (ACCs; in tC ha<span class="inline-formula"><sup>−1</sup></span> yr<span class="inline-formula"><sup>−1</sup></span>) for each site and then
compared the estimates with actual recorded data. We carried out
meta-analyses to reveal the variability in litter biochemistry in different
tree organs for conifers and broadleaves. We also performed sensitivity
analyses to explore Yasso07's sensitivity to annual litter inputs and model
initialization settings.</p>
<p>At the national level, the simulated ACCs
(<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mn mathvariant="normal">0.00</mn><mo>±</mo><mn mathvariant="normal">0.07</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="64pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="7f7163febefd57795dfd756d39974495"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-16-1955-2019-ie00001.svg" width="64pt" height="10pt" src="bg-16-1955-2019-ie00001.png"/></svg:svg></span></span> tC ha<span class="inline-formula"><sup>−1</sup></span> yr<span class="inline-formula"><sup>−1</sup></span>, mean <span class="inline-formula">±</span> SE) were of the same
order of magnitude as the observed ones (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mn mathvariant="normal">0.34</mn><mo>±</mo><mn mathvariant="normal">0.06</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="64pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="b4c217dd652036d9ce313f406e61e716"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-16-1955-2019-ie00002.svg" width="64pt" height="10pt" src="bg-16-1955-2019-ie00002.png"/></svg:svg></span></span> tC ha<span class="inline-formula"><sup>−1</sup></span> yr<span class="inline-formula"><sup>−1</sup></span>). However, the correlation between predicted
and measured ACCs remained weak (<span class="inline-formula"><i>R</i><sup>2</sup><i><</i>0.1</span>). There was significant
overestimation for broadleaved stands and underestimation for coniferous
sites. Sensitivity analyses showed that the final estimated CS was
strongly affected by settings in the model initialization, including litter
and soil carbon quantity and quality and also by simulation length. Carbon
quality set with the partial steady-state assumption gave a better fit than
the model with the complete steady-state assumption.</p>
<p>With Yasso07 as the support model, we showed that there is currently a
bottleneck in soil carbon modeling and prediction due to a lack of
knowledge or data on soil carbon quality and fine-root quantity in the
litter.</p> |
| first_indexed | 2024-12-21T03:11:40Z |
| format | Article |
| id | doaj.art-24ba8627911e4d5b8419f2e5ed252005 |
| institution | Directory Open Access Journal |
| issn | 1726-4170 1726-4189 |
| language | English |
| last_indexed | 2024-12-21T03:11:40Z |
| publishDate | 2019-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Biogeosciences |
| spelling | doaj.art-24ba8627911e4d5b8419f2e5ed2520052022-12-21T19:17:57ZengCopernicus PublicationsBiogeosciences1726-41701726-41892019-05-01161955197310.5194/bg-16-1955-2019Modeling soil organic carbon dynamics in temperate forests with Yasso07Z. Mao0Z. Mao1D. Derrien2M. Didion3J. Liski4J. Liski5T. Eglin6M. Nicolas7M. Jonard8L. Saint-André9L. Saint-André10INRA, UR BEF – Biogéochimie des Ecosystèmes Forestiers, 54280 Champenoux, FranceAmap, INRA, CNRS, IRD, CIRAD, University Montpellier, Montpellier, FranceINRA, UR BEF – Biogéochimie des Ecosystèmes Forestiers, 54280 Champenoux, FranceSwiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, SwitzerlandFinnish Environment Institute, Ecosystem Change Unit, Natural Environment Centre, Mechelininkatu 34a, P.O. Box 140, 00251 Helsinki, FinlandFinnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, FinlandADEME – DPED – Service Agriculture et Forêts, 49004 Angers, FranceOffice National des Forêts, Direction Forêts et Risques Naturels, Département Recherche-Développement-Innovation, Boulevard de Constance, 77300 Fontainebleau, FranceEarth and Life Institute, Université Catholique de Louvain, Croix du Sud 2, L7.05.09, 1348 Louvain-la-Neuve, BelgiumINRA, UR BEF – Biogéochimie des Ecosystèmes Forestiers, 54280 Champenoux, FranceCIRAD, UMR ECO&Sols, Place Viala, 34398 Montpellier Cedex 5, France<p>In a context of global changes, modeling and predicting the dynamics of soil carbon stocks (CSs) in forest ecosystems are vital but challenging. Yasso07 is considered to be one of the most promising models for such a purpose. We examine the accuracy of its prediction of soil carbon dynamics over the whole French metropolitan territory at a decennial timescale.</p> <p>We used data from 101 sites in the RENECOFOR network, which encompasses most of the French temperate forests. These data include (i) the quantity of above-ground litterfall from 1994 to 2008, measured yearly, and (ii) the soil CSs measured twice at an interval of approximately 15 years (once in the early 1990s and around 2010). We used Yasso07 to simulate the annual changes in carbon stocks (ACCs; in tC ha<span class="inline-formula"><sup>−1</sup></span> yr<span class="inline-formula"><sup>−1</sup></span>) for each site and then compared the estimates with actual recorded data. We carried out meta-analyses to reveal the variability in litter biochemistry in different tree organs for conifers and broadleaves. We also performed sensitivity analyses to explore Yasso07's sensitivity to annual litter inputs and model initialization settings.</p> <p>At the national level, the simulated ACCs (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M3" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mn mathvariant="normal">0.00</mn><mo>±</mo><mn mathvariant="normal">0.07</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="64pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="7f7163febefd57795dfd756d39974495"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-16-1955-2019-ie00001.svg" width="64pt" height="10pt" src="bg-16-1955-2019-ie00001.png"/></svg:svg></span></span> tC ha<span class="inline-formula"><sup>−1</sup></span> yr<span class="inline-formula"><sup>−1</sup></span>, mean <span class="inline-formula">±</span> SE) were of the same order of magnitude as the observed ones (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M7" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>+</mo><mn mathvariant="normal">0.34</mn><mo>±</mo><mn mathvariant="normal">0.06</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="64pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="b4c217dd652036d9ce313f406e61e716"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-16-1955-2019-ie00002.svg" width="64pt" height="10pt" src="bg-16-1955-2019-ie00002.png"/></svg:svg></span></span> tC ha<span class="inline-formula"><sup>−1</sup></span> yr<span class="inline-formula"><sup>−1</sup></span>). However, the correlation between predicted and measured ACCs remained weak (<span class="inline-formula"><i>R</i><sup>2</sup><i><</i>0.1</span>). There was significant overestimation for broadleaved stands and underestimation for coniferous sites. Sensitivity analyses showed that the final estimated CS was strongly affected by settings in the model initialization, including litter and soil carbon quantity and quality and also by simulation length. Carbon quality set with the partial steady-state assumption gave a better fit than the model with the complete steady-state assumption.</p> <p>With Yasso07 as the support model, we showed that there is currently a bottleneck in soil carbon modeling and prediction due to a lack of knowledge or data on soil carbon quality and fine-root quantity in the litter.</p>https://www.biogeosciences.net/16/1955/2019/bg-16-1955-2019.pdf |
| spellingShingle | Z. Mao Z. Mao D. Derrien M. Didion J. Liski J. Liski T. Eglin M. Nicolas M. Jonard L. Saint-André L. Saint-André Modeling soil organic carbon dynamics in temperate forests with Yasso07 Biogeosciences |
| title | Modeling soil organic carbon dynamics in temperate forests with Yasso07 |
| title_full | Modeling soil organic carbon dynamics in temperate forests with Yasso07 |
| title_fullStr | Modeling soil organic carbon dynamics in temperate forests with Yasso07 |
| title_full_unstemmed | Modeling soil organic carbon dynamics in temperate forests with Yasso07 |
| title_short | Modeling soil organic carbon dynamics in temperate forests with Yasso07 |
| title_sort | modeling soil organic carbon dynamics in temperate forests with yasso07 |
| url | https://www.biogeosciences.net/16/1955/2019/bg-16-1955-2019.pdf |
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