Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

Lü, Nan; Akujärvi, Anu; Wu, Xing; Liski, Jari; Wen, Zhu; Holmberg, Maria; Feng, Xiaoming; Zeng, Yuan; Fu, Bojie

doi:10.1007/s10980-014-0132-x

Cited by 16 publications

(9 citation statements)

References 58 publications

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“…Of the 15 papers we deemed appropriate for this review, one of the studies took place in Argentina, ten took place in China, two in Ethiopia, one in Wales, and one in the USA (Table 1) [36][37][38][39][40][41][42][43][44][45][46][47][48][49][50]. The large-scale restorations occurred in a variety of habitat types.…”

Section: Resultsmentioning

confidence: 99%

“…Much scientific attention has been paid to the ability of a species to shift ranges with climate change [60]; thus, we were surprised that 87% of the landscape-scale restoration studies used for our study focused on ecosystem function as a result of the restoration. This may be due to the relative ease of studying outcomes of ecosystem function at the landscape scale, using methods such as remote sensing to estimate net primary production or carbon sequestration [36,37,44]. Furthermore, greater importance may be placed on climate mitigation, over species conservation, by restoration practitioners.…”

Section: Restoration As a Means Of Adaptation To Climate Changementioning

confidence: 99%

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Restoration at the landscape scale as a means of mitigation and adaptation to climate change

Holle

Yelenik

Gornish

2020

Curr Landscape Ecol Rep

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Purpose of Review Although landscape-scale restoration efforts are gaining traction worldwide, their success is generally unknown. We review landscape-scale restorations to gain insight to whether focal ecological outcomes have been achieved, in the face of changing environmental conditions. Recent Findings Only 9% of the 477 articles that resulted from our search were studies of landscape-scale restorations. The majority (73%) of the landscape restorations from our study have occurred since the 1990s, indicating that this type of restoration has gained in popularity in the last 30 years. Furthermore, 67% of these restoration studies occurred in a single country: China. Many scientific studies have addressed the ability of a species to shift ranges with climate change, yet few of the landscape-scale restoration studies used for our study addressed this question. Instead, 87% of the studies focused on ecosystem function, rather than community-level processes, as a result of restoration. Summary There is a clear need for more research to be undertaken on the ecological outcomes of landscape-scale restorations to understand whether they enable species and communities to shift their ranges or adapt to climate change. Conservation practitioners could utilize our decision matrix as a tool to guide restoration of individual sites within a landscape context, as well as current and future climatic conditions, to guide ecological outcomes of interest. Optimal biodiversity maintenance requires habitat conservation in concert with restoration activities at the landscape scale, and the latter, likely increasingly so in a world of changing climate.

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Section: Resultsmentioning

confidence: 99%

Section: Restoration As a Means Of Adaptation To Climate Changementioning

confidence: 99%

Restoration at the landscape scale as a means of mitigation and adaptation to climate change

Holle

Yelenik

Gornish

2020

Curr Landscape Ecol Rep

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“…In a related larger-scale study, Lu et al (2014) evaluated the effect of ecological restoration on SOC stocks and determined the influences of multiple factors in the Yanhe watershed of the Loess Plateau. Net primary productivity (NPP) was the foremost factor affecting the spatiotemporal variation of SOC.…”

Section: About This Special Issuementioning

confidence: 99%

Ecosystem services modeling in contrasting landscapes

Forsius

2015

Landscape Ecol

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Landscape ecology can make a large contribution to ecosystem service (ES) studies since most ESs are place-based, and thus best evaluated, maintained, enhanced, and restored using integrative techniques at the landscape scale. Integration of field observation, modeling, and remote sensing are increasingly used to quantify and assess ES at different scales. In this special issue, several comprehensive methodologies and tools are described in the thirteen papers included. The papers are grouped into four categories: modelling and evaluation of carbon and water services of ecosystems, comprehensive analysis and assessment of multiple ESs, integrated ES methodologies for conservation, and development of integrated modeling environments for ESs. We believe that these papers provide both useful methods and tools to simulate and evaluate ESs at different spatial and temporal scales, as well as interesting results from case studies. We also hope that they can provide information for policy makers and managers regarding wiser landscape management and conservation.Keywords Landscape ecology Á Ecosystem service assessment Á Conservation Á Trade-off Á Adaptation Á Climes Á LTER The significance and advancement in ecosystem services modeling Ecosystems generate a range of goods and services important for human well-being, collectively called ecosystem services (ESs). It has proven difficult to quantitatively estimate these benefits that nature provides to people (Mace et al. 2012). Spatially explicit values of services across landscapes-of central importance also to inform land use and management decisions-are often lacking. Furthermore, climate and land use changes provide the major challenges for the sustainable management of the key ESs and hence sector-specific adaptation measures are needed Fu et al. 2013). These adaptation measures have to be based on the understanding of (i) the likelihood of change, (ii) vulnerability of the specific sectors to the predicted change, (iii) information about trade-off relationships, and (iv)

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“…To obtain estimates for changes in soil CSs at shorter intervals, as is, for example, required for annual reporting to the United Nations Framework Convention on Climate Change and the Kyoto Protocol, using models is encouraged (IPCC, 2011). Numerous models have been elaborated to evaluate soil carbon dynamics (Manzoni and Porporato, 2009). The vast majority of terrestrial soil carbon models developed at the global or the plot scale (e.g., CENTURY in Parton et al, 1987;RothC in Coleman and Jenkinson, 1996;and ORCHIDEE in Krinner et al, 2005) assume that decomposition is the first-order decaying process, which accounts for the size of soil carbon pools.…”

Section: Introductionmentioning

confidence: 99%

Modeling soil organic carbon dynamics in temperate forests with Yasso07

Mao¹,

Derrien²,

Didion³

et al. 2019

Biogeosciences

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Abstract. 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. 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−1 yr−1) 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. At the national level, the simulated ACCs (+0.00±0.07 tC ha−1 yr−1, mean ± SE) were of the same order of magnitude as the observed ones (+0.34±0.06 tC ha−1 yr−1). However, the correlation between predicted and measured ACCs remained weak (R2<0.1). 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. 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.

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Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

Cited by 16 publications

References 58 publications

Restoration at the landscape scale as a means of mitigation and adaptation to climate change

Restoration at the landscape scale as a means of mitigation and adaptation to climate change

Ecosystem services modeling in contrasting landscapes

Modeling soil organic carbon dynamics in temperate forests with Yasso07

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