Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking
Purpose: The impact of land use on biodiversity is a topic that has received considerable attention in life cycle assessment (LCA). The methodology to assess biodiversity in LCA has been improved in the past decades. This paper contributes to this progress by building on the concept of conditions fo...
Published in: | The International Journal of Life Cycle Assessment |
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Online Access: | https://doi.org/10.1007/s11367-021-01899-w https://research.chalmers.se/en/publication/527822 |
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ftchalmersuniv:oai:research.chalmers.se:527822 2023-05-15T18:31:03+02:00 Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking Lindner, Jan Paul Eberle, Ulrika Knuepffer, Eva Vitolo Coelho, Carla Regina 2021 text https://doi.org/10.1007/s11367-021-01899-w https://research.chalmers.se/en/publication/527822 unknown http://dx.doi.org/10.1007/s11367-021-01899-w https://research.chalmers.se/en/publication/527822 Other Environmental Engineering Environmental Analysis and Construction Information Technology Building Technologies Management practices Life cycle assessment Biodiversity Land use Fuzzy thinking 2021 ftchalmersuniv https://doi.org/10.1007/s11367-021-01899-w 2022-12-11T07:15:45Z Purpose: The impact of land use on biodiversity is a topic that has received considerable attention in life cycle assessment (LCA). The methodology to assess biodiversity in LCA has been improved in the past decades. This paper contributes to this progress by building on the concept of conditions for maintained biodiversity. It describes the theory for the development of mathematical functions representing the impact of land uses and management practices on biodiversity. Methods: The method proposed here describes the impact of land use on biodiversity as a decrease in biodiversity potential, capturing the impact of management practices. The method can be applied with weighting between regions, such as ecoregions. The biodiversity potential is calculated through functions that describe not only parameters which are relevant to biodiversity, for example, deadwood in a forest, but also the relationships between those parameters. For example, maximum biodiversity would hypothetically occur when the nutrient balance is ideal and no pesticide is applied. As these relationships may not be readily quantified, we propose the use of fuzzy thinking for biodiversity assessment, using AND/OR operators. The method allows the inclusion of context parameters that represent neither the management nor the land use practice being investigated, but are nevertheless relevant to biodiversity. The parameters and relationships can be defined by either literature or expert interviews. We give recommendations on how to create the biodiversity potential functions by providing the reader with a set of questions that can help build the functions and find the relationship between parameters. Results and discussion: We present a simplified case study of paper production in the Scandinavian and Russian Taiga to demonstrate the applicability of the method. We apply the method to two scenarios, one representing an intensive forestry practice, and another representing lower intensity forestry management. The results communicate the differences ... Other/Unknown Material taiga Chalmers University of Technology: Chalmers research Deadwood ENVELOPE(-117.453,-117.453,56.733,56.733) The International Journal of Life Cycle Assessment 26 7 1338 1356 |
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Chalmers University of Technology: Chalmers research |
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ftchalmersuniv |
language |
unknown |
topic |
Other Environmental Engineering Environmental Analysis and Construction Information Technology Building Technologies Management practices Life cycle assessment Biodiversity Land use Fuzzy thinking |
spellingShingle |
Other Environmental Engineering Environmental Analysis and Construction Information Technology Building Technologies Management practices Life cycle assessment Biodiversity Land use Fuzzy thinking Lindner, Jan Paul Eberle, Ulrika Knuepffer, Eva Vitolo Coelho, Carla Regina Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking |
topic_facet |
Other Environmental Engineering Environmental Analysis and Construction Information Technology Building Technologies Management practices Life cycle assessment Biodiversity Land use Fuzzy thinking |
description |
Purpose: The impact of land use on biodiversity is a topic that has received considerable attention in life cycle assessment (LCA). The methodology to assess biodiversity in LCA has been improved in the past decades. This paper contributes to this progress by building on the concept of conditions for maintained biodiversity. It describes the theory for the development of mathematical functions representing the impact of land uses and management practices on biodiversity. Methods: The method proposed here describes the impact of land use on biodiversity as a decrease in biodiversity potential, capturing the impact of management practices. The method can be applied with weighting between regions, such as ecoregions. The biodiversity potential is calculated through functions that describe not only parameters which are relevant to biodiversity, for example, deadwood in a forest, but also the relationships between those parameters. For example, maximum biodiversity would hypothetically occur when the nutrient balance is ideal and no pesticide is applied. As these relationships may not be readily quantified, we propose the use of fuzzy thinking for biodiversity assessment, using AND/OR operators. The method allows the inclusion of context parameters that represent neither the management nor the land use practice being investigated, but are nevertheless relevant to biodiversity. The parameters and relationships can be defined by either literature or expert interviews. We give recommendations on how to create the biodiversity potential functions by providing the reader with a set of questions that can help build the functions and find the relationship between parameters. Results and discussion: We present a simplified case study of paper production in the Scandinavian and Russian Taiga to demonstrate the applicability of the method. We apply the method to two scenarios, one representing an intensive forestry practice, and another representing lower intensity forestry management. The results communicate the differences ... |
author |
Lindner, Jan Paul Eberle, Ulrika Knuepffer, Eva Vitolo Coelho, Carla Regina |
author_facet |
Lindner, Jan Paul Eberle, Ulrika Knuepffer, Eva Vitolo Coelho, Carla Regina |
author_sort |
Lindner, Jan Paul |
title |
Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking |
title_short |
Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking |
title_full |
Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking |
title_fullStr |
Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking |
title_full_unstemmed |
Moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking |
title_sort |
moving beyond land use intensity types: assessing biodiversity impacts using fuzzy thinking |
publishDate |
2021 |
url |
https://doi.org/10.1007/s11367-021-01899-w https://research.chalmers.se/en/publication/527822 |
long_lat |
ENVELOPE(-117.453,-117.453,56.733,56.733) |
geographic |
Deadwood |
geographic_facet |
Deadwood |
genre |
taiga |
genre_facet |
taiga |
op_relation |
http://dx.doi.org/10.1007/s11367-021-01899-w https://research.chalmers.se/en/publication/527822 |
op_doi |
https://doi.org/10.1007/s11367-021-01899-w |
container_title |
The International Journal of Life Cycle Assessment |
container_volume |
26 |
container_issue |
7 |
container_start_page |
1338 |
op_container_end_page |
1356 |
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1766214695916666880 |