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@article{Réchauchère2018,
title = {An Innovative Methodological Framework for Analyzing Existing Scientific Research on Land-Use Change and Associated Environmental Impacts},
author = {Olivier Réchauchère and Monia EL Akkari and Sophie Le Perchec and David Makowski and Benoît Gabrielle and Antonio Bispo},
url = {https://doi.org/10.1007/978-3-319-96289-4_1},
year = {2018},
date = {2018-12-04},
journal = {Sustainable Agriculture Reviews},
volume = { 30},
pages = {1-13},
abstract = {This article describes an original approach to surveying and analyzing the existing body of scientific research on (1) the effects of various forms of reorganization in agriculture, forestry, and spatial planning on land-use change (LUC) and (2) the impacts of that LUC on the environment. Our approach consisted of four principal steps: (i) identification of references using a bibliographic search process; (ii) description of the references’ key features (publication date, journal of publication, etc.); (iii) textual analysis of the articles and identification of thematic sub-groups; (iv) systematic examination of a subset of the corpus using an reading grid followed by an analysis of the results. Our findings show that the majority of publications relating to the environmental impacts of LUC were published after 2000, and amount to a corpus of more than 5700 articles. The scientific journals involved are diverse in nature, with some being general in focus and others more specialized and technical. A lexical analysis performed using the digital platform CorTexT, developed by IFRIS (Institute for Research and Innovation in Society, a research consortium based in the Paris region. http://ifris.org/), enabled us to identify several themes within this corpus, in terms of both the types of reorganizations considered and the types of impacts examined. A more detailed analysis was conducted on a subset of articles dealing with the production of non-food biomass. The results show that, within this sub-group, the environmental impacts most often studied are those relating to climate, soil, and water. Our approach demonstrates the utility of textual analysis as a partially automated method for identifying, in broad outline, the topics addressed within a large-scale corpus. As with a search by keywords, however, this type of textual analysis cannot guarantee that all the articles classed within a category genuinely address the corresponding topic. Among those articles assigned by CorTexT to the sub-group on non-food biomass (1785 articles), the majority proved not relevant to our chosen topic, and only 241 articles were ultimately selected. This selection phase could not be fully automated and required a close reading of titles, abstracts, and often main texts by human experts. The use of precise criteria for selection and a formal reading grid are helpful in limiting the risk of bias and ensuring a level of transparence in the analytical process. Implementation of such an approach is time-consumptive, however, and requires considerable human effort.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Akkari2018,
title = {Textual Analysis of Published Research Articles on the Environmental Impacts of Land-Use Change},
author = {Monia EL Akkari and Mélanie Sandoval and Sophie Le Perchec and Olivier Réchauchère},
url = {https://doi.org/10.1007/978-3-319-96289-4_2},
year = {2018},
date = {2018-01-01},
journal = { Sustainable Agriculture Reviews},
volume = {30},
pages = {15-38},
abstract = {Regardless of the scale considered, land use is determined by a variety of factors relating to both local soil and climatic conditions and socioeconomic considerations (population growth, food and energy requirements, public policies, etc.). Changes in land use resulting from shifts in these factors over time will have environmental consequences. We conducted a review of the scientific literature to identify the degree to which environmental assessments take direct and indirect land-use change into account. A textual analysis was completed on a collection of 5730 scientific articles, published between 1975 and 2015 and listed in the WoS™ database, addressing the relationship between reorganizations of agricultural and forestry systems, or spatial planning, direct and indirect land-use change resulting from these reorganizations; and environmental impacts. By identifying the most frequently used words or groups of words within this corpus (focusing on the title, abstract, and keywords fields), the textual analysis platform CorTexT Manager (Platform developed by IFRIS (the Institute for Research and Innovation in Society, based in the Paris region) assembles diagrams, or “maps,” of occurrence and co-occurrence for these terms, which can then be used to identify the principal themes addressed in the corpus based on clusters of proximate keywords. Eight clusters were so identified: two focused on climate change and greenhouse gas fluxes in terrestrial ecosystems (thus corresponding both to an aspect of the biophysical context and an environmental impact linked to a reorganization); one associated a reorganization (biofuel production) with a dominant environmental impact (the effects of greenhouse gas emissions); three were centered on keywords related to other types of reorganizations (urbanization, grassland management, forestry management); and two focused on environmental impacts on biodiversity and water resources. The five “thematic identifiers” showing the highest number of occurrences were greenhouse gas emission, land-use policy, biofuel, farm system, and pasture land, suggesting that the theme “GHG impacts of biofuel production” is the most prevalent. A more detailed textual analysis of articles in the cluster relating to non-food biomass production (1785 articles) was also conducted, and confirmed the growing importance, notably since 2005–2006, of research linking the bioenergy production, land-use change, and climate impacts from greenhouse gas emissions. Reorganizations toward non-food biomass production also help explain the presence of degraded lands among the most frequently occurring terms in the corpus. Life-cycle analysis is the most important assessment methodology used to evaluate the environmental impacts of bioenergy production.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}