Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach

Detalhes bibliográficos
Autor(a) principal: Wang, Shuangao
Data de Publicação: 2022
Outros Autores: Padmanaban, Rajchandar, Shamsudeen, Mohamed, Campos, Felipe S., Cabral, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/142802
Resumo: Wang, S., Padmanaban, R., Shamsudeen, M., Campos, F. S., & Cabral, P. (2022). Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach. Land, 11(8), 1-18. [1186]. https://doi.org/10.3390/land11081186 --- FUNDING: This study was supported by the Research on Capitalization of Natural Resources and Corresponding Market Construction in China (grant number 15ZDB162); and partially through the FCT (Fundação para a Ciência e a Tecnologia) under the projects PTDC/CTA-AMB/28438/2017—ASEBIO and UIDB/04152/2020—Centro de Investigação em Gestão de Informação (MagIC). This research was also funded by the Forest Research Centre, a research unit funded by Fundação para a Ciência e a Tecnologia I.P. (FCT), Portugal (UIDB/00239/2020).
id RCAP_cfebfdd92354e38832fc6b415067ef7c
oai_identifier_str oai:run.unl.pt:10362/142802
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approachurban sprawllandscape patternsurban ecosystemsremote sensingimage fusionGlobal and Planetary ChangeEcologyNature and Landscape ConservationSDG 15 - Life on LandSDG 11 - Sustainable Cities and CommunitiesWang, S., Padmanaban, R., Shamsudeen, M., Campos, F. S., & Cabral, P. (2022). Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach. Land, 11(8), 1-18. [1186]. https://doi.org/10.3390/land11081186 --- FUNDING: This study was supported by the Research on Capitalization of Natural Resources and Corresponding Market Construction in China (grant number 15ZDB162); and partially through the FCT (Fundação para a Ciência e a Tecnologia) under the projects PTDC/CTA-AMB/28438/2017—ASEBIO and UIDB/04152/2020—Centro de Investigação em Gestão de Informação (MagIC). This research was also funded by the Forest Research Centre, a research unit funded by Fundação para a Ciência e a Tecnologia I.P. (FCT), Portugal (UIDB/00239/2020).The landscape is a complex mosaic of physical and biological patches with infrastructures, cultivable lands, protected ecosystems, water bodies, and many other landforms. Varying land-use changes are vulnerable to the world and need the mitigation and management of landforms to achieve sustainable development, which without proper oversight, may lead to habitat destruction, degradation, and fragmentation. In this study, we quantify the land-use and land-cover (LULC) changes using downscaled satellite imagery and assess their effects on ecosystem services (ES) and economic values in Ningxia Province, China. Various landscape metrics are derived to study the pattern and spatial configuration over 15 years (2005–2020), in which the landscapes are evolving. The impact of LULC change in various ES is analyzed using ecosystem service values (ESV) and validated with a sensitivity index. Finally, the level of urban sprawl (US) due to overpopulation is established using Renyi’s entropy. Using Landsat 8′s Operational Land Imager (OLI) datasets, we downscaled the MODIS data of 2005, 2010, 2015, and 2020 to prepare the LULC map through a rotation forest algorithm. Results demonstrate that water bodies, woodlands, and built-up landscapes increased in their spatial distribution over time and that there was a decrease in farmlands. Results further suggest that the connectivity and uniformity of the landscape pattern improved in the later period due to several plans formulated by the government with a slight improvement in landscape diversity. Overall ESV get improved, while LULC classes such as farmland and water bodies have decreased and increased ESV, respectively, and a sensitivity analysis is used to test the reliability of ESV on LULC classes. The level of US is 0.91 in terms of Renyi’s entropy, which reveals the presence of a dispersion of settlements in urban fringes. The simulated US for 2025 shows urbanization is more severe over a prolonged time and finally the impacts of the US in ESV are analyzed. Using an interdisciplinary approach, several recommendations are formulated to maintain the ESV despite rapid LULC changes and to achieve sustainable development globally.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNWang, ShuangaoPadmanaban, RajchandarShamsudeen, MohamedCampos, Felipe S.Cabral, Pedro2022-08-02T22:26:18Z2022-08-012022-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article18application/pdfhttp://hdl.handle.net/10362/142802eng2073-445XPURE: 45769755https://doi.org/10.3390/land11081186info: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:RCAAP2024-03-11T05:20:43Zoai:run.unl.pt:10362/142802Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:31.775426Repositório 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 Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
title Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
spellingShingle Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
Wang, Shuangao
urban sprawl
landscape patterns
urban ecosystems
remote sensing
image fusion
Global and Planetary Change
Ecology
Nature and Landscape Conservation
SDG 15 - Life on Land
SDG 11 - Sustainable Cities and Communities
title_short Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
title_full Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
title_fullStr Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
title_full_unstemmed Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
title_sort Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach
author Wang, Shuangao
author_facet Wang, Shuangao
Padmanaban, Rajchandar
Shamsudeen, Mohamed
Campos, Felipe S.
Cabral, Pedro
author_role author
author2 Padmanaban, Rajchandar
Shamsudeen, Mohamed
Campos, Felipe S.
Cabral, Pedro
author2_role author
author
author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Wang, Shuangao
Padmanaban, Rajchandar
Shamsudeen, Mohamed
Campos, Felipe S.
Cabral, Pedro
dc.subject.por.fl_str_mv urban sprawl
landscape patterns
urban ecosystems
remote sensing
image fusion
Global and Planetary Change
Ecology
Nature and Landscape Conservation
SDG 15 - Life on Land
SDG 11 - Sustainable Cities and Communities
topic urban sprawl
landscape patterns
urban ecosystems
remote sensing
image fusion
Global and Planetary Change
Ecology
Nature and Landscape Conservation
SDG 15 - Life on Land
SDG 11 - Sustainable Cities and Communities
description Wang, S., Padmanaban, R., Shamsudeen, M., Campos, F. S., & Cabral, P. (2022). Landscape Impacts on Ecosystem Service Values Using the Image Fusion Approach. Land, 11(8), 1-18. [1186]. https://doi.org/10.3390/land11081186 --- FUNDING: This study was supported by the Research on Capitalization of Natural Resources and Corresponding Market Construction in China (grant number 15ZDB162); and partially through the FCT (Fundação para a Ciência e a Tecnologia) under the projects PTDC/CTA-AMB/28438/2017—ASEBIO and UIDB/04152/2020—Centro de Investigação em Gestão de Informação (MagIC). This research was also funded by the Forest Research Centre, a research unit funded by Fundação para a Ciência e a Tecnologia I.P. (FCT), Portugal (UIDB/00239/2020).
publishDate 2022
dc.date.none.fl_str_mv 2022-08-02T22:26:18Z
2022-08-01
2022-08-01T00:00:00Z
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/10362/142802
url http://hdl.handle.net/10362/142802
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2073-445X
PURE: 45769755
https://doi.org/10.3390/land11081186
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 18
application/pdf
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
repository.mail.fl_str_mv
_version_ 1799138101950414848

Registros relacionados