A GIS based method to calculate regionalized land use characterization factors for life cycle impact assessment using LANCA®

Bos, Ulrike; Maier, Stephanie D.; Horn, Rafael; Leistner, Philip; Finkbeiner, Matthias

doi:10.1007/s11367-020-01730-y

Cited by 22 publications

(22 citation statements)

References 33 publications

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“…LANCA® provides land use CFs to be implemented in Life Cycle Assessment studies and to be used in LCA software (Baitz et al 2011;Saad et al 2011). Further specifications and updates can be found in a recent work of Bos and co-workers (Bos et al 2020), in the explication of the method and its refinements (De Laurentiis et al 2019) and in Annex 5 of the supplementary method.…”

Section: Characterization Factorsmentioning

confidence: 99%

“…LANCA® model can be used for life cycle studies by using (a) country and global average characterisation factors and (b) site-specific CFs (Bos et al 2016(Bos et al , 2020. In the former case, (Horn and Maier 2018).…”

Section: Site-specific and Country-averaged Approachesmentioning

confidence: 99%

“…The authors of the model proposed a method for a GIS-based application of the LANCA taking into account the spatial variability of soil properties and providing a spatially differentiated map at global scale for groundwater distance (Bos et al 2020). Ulrike Bos and her collaborators (2020) show the advantages of site-specific CFs.…”

Section: Possible Improvements Of the Lanca® Modelmentioning

confidence: 99%

“…All these observations together with the results obtained in this work are reflected in Table 7 the following table. In the wait for improvements by Bos et al (2020) to be transposed into a revision of the current version LANCA® 2.0 and besides that, some issues seem to be still open. For example, it is recommended a homogenization of the calculation processes in terms of validity, terminologies and units of measurement to align them to the ones used for country-default CFs.…”

Section: Possible Improvements Of the Lanca® Modelmentioning

confidence: 99%

“…Saad et al (2013 and2011) highlighted a general need for regionalization of soil impact assessments by computing land use CFs for various ecosystem classes at different biogeographical scales using the LANCA® calculation processes. Bos et al (2020) calculated region-specific characterization factors in a GIS environment yielding a map with values for mechanical filtration and physicochemical filtration per grid cell for various land use types. Thoumazeau and co-workers (2019) assessed LANCA® applicability for CF calculation in Thailand and Brazil for different land use types, in data-limited conditions, and evaluated the accessibility of the method to practitioners and tested the validity of the empirical equations.…”

Section: Introductionmentioning

confidence: 99%

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An applicability assessment and sensitivity analysis of land use impact models: application of the LANCA model in site-specific conditions

Terranova

Balugani

Righi

et al. 2021

Int J Life Cycle Assess

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Purpose In this work, we study a land use impact model with the aim of obtaining spatially differentiated as opposed to default average characterisation factors. In particular, we study the application of LANCA®, a multi-indicator model with available country average characterisation factors expressing the alteration of the soil quality level of the current land use of one kind with respect to a reference situation. Method To this purpose, we use the LANCA® method documentation at a higher spatial resolution and apply all the required elemental steps. From a user perspective, we score the transparency of the method down to the basic methodological references and single out the source of errors that the user may incur when: (i) collecting the input data, (ii) selecting the appropriate soil/land classes and (iii) applying the individual calculation steps. For a greater insight, we couple the source of errors with a sensitivity analysis. Results In the comparison between a site-specific test area and the related country default values, we obtained relevant discrepancies regarding the erosion resistance and the physicochemical filtration of the soil. For example, we find that the erosion resistance potential is −1.06 * 10−3 kg m2 a−1 locally while the country default value is 13.1. We explain differences through the sensitivity analysis and having analysed in depth the underpinned soil erosion equation and the critical steps for its calibration. Together with systematic errors, we find that the method generally implies 9 scarcely guided steps out of 42, and one-third of the basic methodologies are not fully explained or accessible. These factors make the results related to Biotic Production, Mechanical Filtration, Physicochemical Filtration and Groundwater Regeneration user dependent and — in this sense — difficult to replicate. Conclusions From the analysis, we distil 7 main directions for improvement addressed to LANCA® and soil models especially in sight of a broader application of a regionalised life cycle impact assessment.

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Section: Characterization Factorsmentioning

confidence: 99%

Section: Site-specific and Country-averaged Approachesmentioning

confidence: 99%

Section: Possible Improvements Of the Lanca® Modelmentioning

confidence: 99%

Section: Possible Improvements Of the Lanca® Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An applicability assessment and sensitivity analysis of land use impact models: application of the LANCA model in site-specific conditions

Terranova

Balugani

Righi

et al. 2021

Int J Life Cycle Assess

View full text Add to dashboard Cite

show abstract

No simple menu for sustainable food production and consumption

Gheewala

Jungbluth

Notarnicola

et al. 2020

Int J Life Cycle Assess

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Linking land use inventories to biodiversity impact assessment methods

Scherer

Laurentiis

Marques

et al. 2021

Int J Life Cycle Assess

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There is generally a mismatch in the land use classification of life cycle inventory (LCI) databases and life cycle impact assessment (LCIA) methods. This mismatch can hinder the proper assessment of land use impacts on biodiversity. To facilitate such assessments, we matched the land use classes of two global LCIA methods to five widely used LCI databases, one LCI nomenclature, and one multi-regional input-output database. In unclear cases, we assumed the worst case. Assumptions were especially necessary for unspecified land use intensity classes. We conclude with recommendations for LCI database and LCIA method developers.

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A GIS based method to calculate regionalized land use characterization factors for life cycle impact assessment using LANCA®

Cited by 22 publications

References 33 publications

An applicability assessment and sensitivity analysis of land use impact models: application of the LANCA model in site-specific conditions

An applicability assessment and sensitivity analysis of land use impact models: application of the LANCA model in site-specific conditions

No simple menu for sustainable food production and consumption

Linking land use inventories to biodiversity impact assessment methods

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