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Author |
Ghaley, B.B.; Porter, J.R.; Sandhu, H.S. |
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Title |
Soil-based ecosystem services: a synthesis of nutrient cycling and carbon sequestration assessment methods |
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Journal Article |
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Year |
2014 |
Publication |
International Journal of Biodiversity Science, Ecosystem Services & Management |
Abbreviated Journal |
International Journal of Biodiversity Science, Ecosystem Services & Management |
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Volume |
10 |
Issue |
3 |
Pages |
177-186 |
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Keywords |
ecosystem functions; litter decomposition; mineralisation; assessment methodologies; stoichiometry |
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Abstract |
Among the soil-based ecosystem services (ES), nutrient cycling and carbon sequestration have direct influence on the biogeochemical cycles and greenhouse gas emissions affecting provision of other ES that support human existence. We reviewed methods to assess the two key ES by identifying their strengths and weaknesses and have made suggestions for using appropriate methods for better understanding of the ecosystem functions for the provision of ES. Relevant papers for the review were chosen on the basis of (i) diversity of studies on the two key ES in different ecosystems, (ii) methodologies applied and (iii) detailed descriptions of the trial locations in terms of vegetation, soil type, location and climatic information. We concluded that (i) elemental stoichiometrical ratios could be a potential approach to assess the health of ecosystems in terms of provision of the two ES discussed, (ii) stoichiometric imbalances need to be avoided between the supply and the demand of the nutrients to maintain the ES provision in terrestrial ecosystems and (iii) stoichiometric ratios can act as a management tool at a field, farm and at landscape level, to complement other compositional biodiversity and functional diversity approaches to ensure sustainable provision of ES. |
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2151-3732 2151-3740 |
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CropM, ftnotmacsur |
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no |
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Call Number |
MA @ admin @ |
Serial |
4522 |
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Author |
Ruiu, L.M.; Maurizi, S.; Sassu, S.; Seddaiu, G.; Zuin, O.; Blackmore, C.; Roggero, P.P. |
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Title |
Re-Staging La Rasgioni: lessons learned from transforming a traditional form of conflict resolution to engage stakeholders in agricultural water governance |
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Journal Article |
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Year |
2017 |
Publication |
Water |
Abbreviated Journal |
Water |
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9 |
Issue |
4 |
Pages |
297 |
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Keywords |
co-researching; dairy farming; ecosystem perception; systemic governance; governance learning; irrigation; knowledge co-production; nitrate pollution; social learning; stakeholders; theatre |
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Abstract |
This paper presents an informal process inspired by a public practice of conflict mediation used until a few decades ago in Gallura (NE Sardinia, Italy), named La Rasgioni (The Reason). The aim is twofold: (i) to introduce an innovative method that translates the complexity of water-related conflicts into a “dialogical tool”, aimed at enhancing social learning by adopting theatrical techniques; and (ii) to report the outcomes that emerged from the application of this method in Arborea, the main dairy cattle district and the only nitrate-vulnerable zone in Sardinia, to mediate contrasting positions between local entrepreneurs and representatives of the relevant institutions. We discuss our results in the light of four pillars, adopted as research lenses in the International research Project CADWAGO (Climate Change Adaptation and Water Governance), which consider the specific “social–ecological” components of the Arborea system, climate change adaptability in water governance institutions and organizations, systemic governance (relational) practices, and governance learning. The combination of the four CADWAGO pillars and La Rasgioni created an innovative dialogical space that enabled stakeholders and researchers to collectively identify barriers and opportunities for effective governance practices. Potential wider implications and applications of La Rasgioni process are also discussed in the paper. |
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2017-04-24 |
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2073-4441 |
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CropM, LiveM, ft_macsur |
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yes |
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MA @ admin @ |
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4944 |
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Wu, L.; Whitmore, A.P.; Bellocchi, G. |
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Title |
Modelling the impact of environmental changes on grassland systems with SPACSYS |
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Journal Article |
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Year |
2015 |
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Advances in Animal Biosciences |
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Advances in Animal Biosciences |
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6 |
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01 |
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37-39 |
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grassland production; dynamic simulation model; primary production; ecosystem respiration |
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2040-4700 2040-4719 |
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CropM, LiveM, ft_macsur |
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no |
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MA @ admin @ |
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4655 |
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Author |
Ghaley, B.B.; Sandhu, H.S.; Porter, J.R. |
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Title |
Relationship between C:N/C:O stoichiometry and ecosystem services in managed production systems |
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Journal Article |
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Year |
2015 |
Publication |
PLoS One |
Abbreviated Journal |
PLoS One |
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Volume |
10 |
Issue |
4 |
Pages |
e0123869 |
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Keywords |
Carbon/*metabolism; *Conservation of Natural Resources/economics; Denmark; *Ecosystem; Fagus/metabolism; Forests; Nitrogen/*metabolism; Oxygen/*metabolism; Soil |
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Land use and management intensity can influence provision of ecosystem services (ES). We argue that forest/agroforestry production systems are characterized by relatively higher C:O/C:N and ES value compared to arable production systems. Field investigations on C:N/C:O and 15 ES were determined in three diverse production systems: wheat monoculture (Cwheat), a combined food and energy system (CFE) and a beech forest in Denmark. The C:N/C:O ratios were 194.1/1.68, 94.1/1.57 and 59.5/1.45 for beech forest, CFE and Cwheat, respectively. The economic value of the non-marketed ES was also highest in beech forest (US$ 1089 ha(-1) yr(-1)) followed by CFE (US$ 800 ha(-1) yr(-1)) and Cwheat (US$ 339 ha(-1) yr(-1)). The combined economic value was highest in the CFE (US$ 3143 ha(-1) yr(-1)) as compared to the Cwheat (US$ 2767 ha(-1) yr(-1)) and beech forest (US$ 2365 ha(-1) yr(-1)). We argue that C:N/C:O can be used as a proxy of ES, particularly for the non-marketed ES, such as regulating, supporting and cultural services. These ES play a vital role in the sustainable production of food and energy. Therefore, they should be considered in decision making and developing appropriate policy responses for land use management. |
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1932-6203 |
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CropM |
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no |
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Call Number |
MA @ admin @ |
Serial |
4692 |
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Author |
Minet, J.; Laloy, E.; Tychon, B.; François, L. |
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Title |
Bayesian inversions of a dynamic vegetation model at four European grassland sites |
Type |
Journal Article |
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Year |
2015 |
Publication |
Biogeosciences |
Abbreviated Journal |
Biogeosciences |
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Volume |
12 |
Issue |
9 |
Pages |
2809-2829 |
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Keywords |
eddy-covariance data; terrestrial ecosystem model; bioclimatic affinity; groups; monte-carlo-simulation; dry-matter content; leaf-area; climate-change; stomatal conductance; parameter-estimation; plant |
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Eddy covariance data from four European grassland sites are used to probabilistically invert the CARAIB (CARbon Assimilation In the Biosphere) dynamic vegetation model (DVM) with 10 unknown parameters, using the DREAM((ZS)) (DiffeRential Evolution Adaptive Metropolis) Markov chain Monte Carlo (MCMC) sampler. We focus on comparing model inversions, considering both homoscedastic and heteroscedastic eddy covariance residual errors, with variances either fixed a priori or jointly inferred together with the model parameters. Agreements between measured and simulated data during calibration are comparable with previous studies, with root mean square errors (RMSEs) of simulated daily gross primary productivity (GPP), ecosystem respiration (RECO) and evapotranspiration (ET) ranging from 1.73 to 2.19, 1.04 to 1.56 g C m(-2) day(-1) and 0.50 to 1.28 mm day(-1), respectively. For the calibration period, using a homoscedastic eddy covariance residual error model resulted in a better agreement between measured and modelled data than using a heteroscedastic residual error model. However, a model validation experiment showed that CARAIB models calibrated considering heteroscedastic residual errors perform better. Posterior parameter distributions derived from using a heteroscedastic model of the residuals thus appear to be more robust. This is the case even though the classical linear heteroscedastic error model assumed herein did not fully remove heteroscedasticity of the GPP residuals. Despite the fact that the calibrated model is generally capable of fitting the data within measurement errors, systematic bias in the model simulations are observed. These are likely due to model inadequacies such as shortcomings in the photosynthesis modelling. Besides the residual error treatment, differences between model parameter posterior distributions among the four grassland sites are also investigated. It is shown that the marginal distributions of the specific leaf area and characteristic mortality time parameters can be explained by site-specific ecophysiological characteristics. |
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1726-4189 |
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CropM LiveM, ft_macsur |
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MA @ admin @ |
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4571 |
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