Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania)
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/53982 |
Resumo: | Agricultural systems supply a wide range of ecosystem services. Projecting future agricultural land-use changes is key to anticipating the potential impacts of human activities. In this work, we assessed future agricultural land-use changes, using the Dinamica-EGO platform, under three scenarios: A0-(business-as-usual), A1- (sustainable agriculture), and A2-(agricultural intensification) for 2040 in the Šiauliai region (Lithuania). Spatial autocorrelation was evaluated by using a Moran’s I index and the spatial patterns with the Getis analysis and landscape metrics. The results showed that croplands will increase 29.6% in the A0, 14.95% in the A1, and 29.63% in the A3 scenario. According to the Getis results, cold spots are in the surrounding of Šiauliai city, and hot spots in the northeast of the Šiauliai region. It was verified a high cropland fragmentation in A1 and low fragmentation in A0 and A2 scenarios. These results are critical for land management to understand cropland impacts under different scenarios. |
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Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania)Driving forcesLand use/land cover (LULC)Scenarios; Šiauliai regionSpatial planningAgricultural systems supply a wide range of ecosystem services. Projecting future agricultural land-use changes is key to anticipating the potential impacts of human activities. In this work, we assessed future agricultural land-use changes, using the Dinamica-EGO platform, under three scenarios: A0-(business-as-usual), A1- (sustainable agriculture), and A2-(agricultural intensification) for 2040 in the Šiauliai region (Lithuania). Spatial autocorrelation was evaluated by using a Moran’s I index and the spatial patterns with the Getis analysis and landscape metrics. The results showed that croplands will increase 29.6% in the A0, 14.95% in the A1, and 29.63% in the A3 scenario. According to the Getis results, cold spots are in the surrounding of Šiauliai city, and hot spots in the northeast of the Šiauliai region. It was verified a high cropland fragmentation in A1 and low fragmentation in A0 and A2 scenarios. These results are critical for land management to understand cropland impacts under different scenarios.Taylor & FrancisRepositório da Universidade de LisboaGomes, EduardoInacio, MiguelKalinauskas, MariusRocha, JorgePereira, Paulo2022-07-28T09:58:12Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/53982engGomes, E., Inacio, M., Kalinauskas, M., Rocha, J. & Pereira, P. (2022) Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania), Geocarto International, (ahead-of-print). https://doi.org/10.1080/10106049.2022.21063141010-604910.1080/10106049.2022.2106314metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:00:20Zoai:repositorio.ul.pt:10451/53982Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:04:58.939286Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) |
title |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) |
spellingShingle |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) Gomes, Eduardo Driving forces Land use/land cover (LULC) Scenarios; Šiauliai region Spatial planning |
title_short |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) |
title_full |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) |
title_fullStr |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) |
title_full_unstemmed |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) |
title_sort |
Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania) |
author |
Gomes, Eduardo |
author_facet |
Gomes, Eduardo Inacio, Miguel Kalinauskas, Marius Rocha, Jorge Pereira, Paulo |
author_role |
author |
author2 |
Inacio, Miguel Kalinauskas, Marius Rocha, Jorge Pereira, Paulo |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Gomes, Eduardo Inacio, Miguel Kalinauskas, Marius Rocha, Jorge Pereira, Paulo |
dc.subject.por.fl_str_mv |
Driving forces Land use/land cover (LULC) Scenarios; Šiauliai region Spatial planning |
topic |
Driving forces Land use/land cover (LULC) Scenarios; Šiauliai region Spatial planning |
description |
Agricultural systems supply a wide range of ecosystem services. Projecting future agricultural land-use changes is key to anticipating the potential impacts of human activities. In this work, we assessed future agricultural land-use changes, using the Dinamica-EGO platform, under three scenarios: A0-(business-as-usual), A1- (sustainable agriculture), and A2-(agricultural intensification) for 2040 in the Šiauliai region (Lithuania). Spatial autocorrelation was evaluated by using a Moran’s I index and the spatial patterns with the Getis analysis and landscape metrics. The results showed that croplands will increase 29.6% in the A0, 14.95% in the A1, and 29.63% in the A3 scenario. According to the Getis results, cold spots are in the surrounding of Šiauliai city, and hot spots in the northeast of the Šiauliai region. It was verified a high cropland fragmentation in A1 and low fragmentation in A0 and A2 scenarios. These results are critical for land management to understand cropland impacts under different scenarios. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-07-28T09:58:12Z 2022 2022-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/53982 |
url |
http://hdl.handle.net/10451/53982 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Gomes, E., Inacio, M., Kalinauskas, M., Rocha, J. & Pereira, P. (2022) Scenarios of future Land use/Land cover changes: impacts on cropland use in Šiauliai region (Lithuania), Geocarto International, (ahead-of-print). https://doi.org/10.1080/10106049.2022.2106314 1010-6049 10.1080/10106049.2022.2106314 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Taylor & Francis |
publisher.none.fl_str_mv |
Taylor & Francis |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134601397927936 |