Statistical sampling design impact on predictive quality of harmonization functions between soil monitoring networks

Louis, Benjamin; Saby, Nicolas P.A.; Orton, Thomas G.; Lacarce, Eva; Boulonne, Line; Jolivet, Claudy; Ratié, Céline; Arrouays, Dominique

doi:10.1016/j.geoderma.2013.07.018

Cited by 16 publications

(4 citation statements)

References 17 publications

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“…Large countries with a low sampling density (<1 site per 100 km 2 ) generally adopt a stratified design to include all important units (van Wesemael et al, ). The (expected) variability within these units should be determined to assess the optimal number of samples for each stratum (Brus & de Gruijter, ; De Gruijter, Brus, Bierkens, & Knottters, ; Louis et al, ). Such an approach will allow a (geo)statistical analysis of SOC stock changes for the soil/land use/climate units under consideration as an alternative or test for process‐based models.…”

Section: What Mrv Platforms Are Currently In Usementioning

confidence: 99%

“…samples for each stratum (Brus & de Gruijter, 1997;De Gruijter, Brus, Bierkens, & Knottters, 2006;Louis et al, 2014). Such an approach will allow a (geo)statistical analysis of SOC stock changes for the soil/ land use/climate units under consideration as an alternative or test for process-based models.…”

Section: Operational Soil Mrv Systems In Use In Gra Countriesmentioning

confidence: 99%

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How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal

Smith

Soussana²,

Angers

et al. 2019

Global Change Biology

406

261

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There is growing international interest in better managing soils to increase soil organic carbon (SOC) content to contribute to climate change mitigation, to enhance resilience to climate change and to underpin food security, through initiatives such as international ‘4p1000’ initiative and the FAO's Global assessment of SOC sequestration potential (GSOCseq) programme. Since SOC content of soils cannot be easily measured, a key barrier to implementing programmes to increase SOC at large scale, is the need for credible and reliable measurement/monitoring, reporting and verification (MRV) platforms, both for national reporting and for emissions trading. Without such platforms, investments could be considered risky. In this paper, we review methods and challenges of measuring SOC change directly in soils, before examining some recent novel developments that show promise for quantifying SOC. We describe how repeat soil surveys are used to estimate changes in SOC over time, and how long‐term experiments and space‐for‐time substitution sites can serve as sources of knowledge and can be used to test models, and as potential benchmark sites in global frameworks to estimate SOC change. We briefly consider models that can be used to simulate and project change in SOC and examine the MRV platforms for SOC change already in use in various countries/regions. In the final section, we bring together the various components described in this review, to describe a new vision for a global framework for MRV of SOC change, to support national and international initiatives seeking to effect change in the way we manage our soils.

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Section: What Mrv Platforms Are Currently In Usementioning

confidence: 99%

Section: Operational Soil Mrv Systems In Use In Gra Countriesmentioning

confidence: 99%

How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal

Smith

Soussana²,

Angers

et al. 2019

Global Change Biology

406

261

View full text Add to dashboard Cite

show abstract

“…It enables the designed sample distribution to closely replicate the covariate distribution (Minasny and McBratney, 2006). Conditioned Latin hypercube sampling is thus considered as an efficient sampling method and implemented widely (Worsham et al, 2012;Louis et al, 2014;TaghizadehMehrjardi et al, 2014;Pahlavan Rad et al, 2014;Silva et al, 2014Silva et al, , 2015Kidd et al, 2015).…”

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confidence: 99%

Evaluation of Integrative Hierarchical Stepwise Sampling for Digital Soil Mapping

Yang

Feng

Zhu

et al. 2016

Soil Science Soc of Amer J

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This paper presents an integrative hierarchical stepwise sampling (IHS) method and two case studies to compare it with stratified random sampling (SRS) and conditioned Latin hypercube sampling (cLHS). The first comparison between IHS and SRS was conducted for mapping sand content of two soil layers in a study area in Anhui Province, China. Two sample sets of the same sample size were collected in the field based on IHS and SRS. The second case study is a simulation study, where we compared IHS and cLHS for mapping soil series in the Raffelson watershed in Wisconsin (USA). The study used an accurate and detailed soil series map produced previously as a proxy of the real soil distribution. Virtual samples with nine sample sizes designed by IHS and cLHS were collected on the soil map. For both case studies, an individual predictive soil mapping method was employed and independent validation samples were used to evaluate the mapping accuracies. Results indicate that IHS generally performs better than SRS for capturing distributions of the environmental variables. It obtained higher mapping accuracies than SRS at different sample sizes. On the other hand, cLHS appears to provide a better representation for distributions of the environmental variables than IHS, but the mapping accuracies with IHS are higher than those with cLHS at nearly all sample sizes. Finally, both case studies showed that IHS provides valuable information on representativeness of the samples.Abbreviations: FCM, fuzzy c-means; IHS, integrative hierarchical stepwise sampling; cLHS, conditioned Latin hypercube sampling; SRS, stratified random sampling. S oil sampling plays an essential role in soil survey. A sampling design specifies where and how many to sample in the field. Different sampling design strategies will produce different soil distribution maps and greatly affect the mapping accuracies (Brus and de Gruijter, 1997;van Groenigen et al., 2000;de Gruijter et al., 2006;Brus et al., 2006;Gregoire and Valentine, 2007;Heim et al., 2009). Because the collection of soil samples in the field is often time-consuming and resource-intensive, it is important to apply efficient sampling design strategies.When prior knowledge on an area's local soil variation is limited, simple random sampling has been a commonly used sampling strategy (Oliver and Webster, 1986;Grinand et al., 2008;Walvoort et al., 2010 • Evaluation of an integrative hierarchical stepwise (IHS) sampling method by comparing it with stratified random sampling (SRS) and conditioned Latin hypercube sampling (cLHS) through two case studies.• IHS obtained higher mapping accuracies than SRS and cLHS at nearly all sample sizes.• IHS provides valuable information on the representativeness of samples.• SRS and cLHS were found to generate unstable results on sample sets and soil maps.

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“…The lessons learned from the widespread contamination of the aquatic and soil ecosystems have forced the adoption of restrictive legislative measures to protect the environment against pollution (Vega et al, 2005). As a result of the increasing public awareness, soil quality has become a key issue in political agendas (Louis et al, 2014;EEC, 2002EEC, , 2006. Soil contamination by pesticides is addressed within the European Union in the context of the recently adopted Regulation 1107/2009/EC (EEC, 2009 as well as in the former Directive 91/414/EEC (EEC, 1991), which regulates the authorization of pesticide placement on the market.…”

Section: Introductionmentioning

confidence: 99%

Pesticide residue concentration in soil following conventional and Low-Input Crop Management in a Mediterranean agro-ecosystem, in Central Greece

Karasali

Marousopoulou

Machera

2016

Science of The Total Environment

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Statistical sampling design impact on predictive quality of harmonization functions between soil monitoring networks

Cited by 16 publications

References 17 publications

How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal

How to measure, report and verify soil carbon change to realize the potential of soil carbon sequestration for atmospheric greenhouse gas removal

Evaluation of Integrative Hierarchical Stepwise Sampling for Digital Soil Mapping

Pesticide residue concentration in soil following conventional and Low-Input Crop Management in a Mediterranean agro-ecosystem, in Central Greece

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