From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins
- Autores
- Paná, Sofía; Gauto, Víctor Hugo; Bonansea, Matias; Camacho, Vera; Asis, Inés del Valle; Ferral, Anabella
- Año de publicación
- 2025
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Landscape spatial patterns are critical drivers of ecological processes, including nutrient cycling from terrestrial to aquatic systems, which ultimately modulate microorganism biodiversity. The emergence of robust spatial analysis tools now makes it possible to disentangle these complex relationships through controlled scenario generation. This study assesses the influence of land use and land cover (LULC) configuration on the export of total nitrogen (TN) and total phosphorus (TP) in an anthropogenically impacted river basin. We characterized the baseline landscape and generated synthetic LULC scenarios using the rflsgen (version 1.2.2) R package. Landscape metrics were calculated with landscape metrics, and nutrient export was modeled with the Nutrient Delivery Ratio (NDR) module of InVEST. The results demonstrate that spatial arrangement of the landscape is a key determinant of nutrient dynamics. Agriculture and urban areas have the greatest impact on nutrient export. Nutrient delivery is maximized when these LULC classes are configured in large, compact, and simply-shaped patches with high connectivity, which facilitates efficient hydrological transport. Conversely, fragmented natural grasslands and aggregated forests with regular shapes are associated with lower nutrient export, highlighting their role as nutrient sinks. This integrative methodology provides a novel framework for reproducible spatial experiments, offering evidence-based insights for land-use planning aiming to mitigate eutrophication and enhance ecosystem health.
Fil: Paná, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Gauto, Víctor Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Investigación para el Desarrollo Territorial y del Hábitat Humano. Universidad Nacional del Nordeste. Facultad de Arquitectura y Urbanismo. Instituto de Investigación para el Desarrollo Territorial y del Hábitat Humano.; Argentina. Universidad Tecnológica Nacional. Facultad Regional Resistencia; Argentina. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina
Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Geología Aplicada; Argentina
Fil: Camacho, Vera. El Colegio de la Frontera Sur; México
Fil: Asis, Inés del Valle. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina
Fil: Ferral, Anabella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina - Materia
-
LANDSCAPE METRICS
NUTRIENT EXPORT
SPATIAL CONFIGURATION
SUQUÍA RIVER - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/291337
Ver los metadatos del registro completo
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From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River BasinsPaná, SofíaGauto, Víctor HugoBonansea, MatiasCamacho, VeraAsis, Inés del ValleFerral, AnabellaLANDSCAPE METRICSNUTRIENT EXPORTSPATIAL CONFIGURATIONSUQUÍA RIVERhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Landscape spatial patterns are critical drivers of ecological processes, including nutrient cycling from terrestrial to aquatic systems, which ultimately modulate microorganism biodiversity. The emergence of robust spatial analysis tools now makes it possible to disentangle these complex relationships through controlled scenario generation. This study assesses the influence of land use and land cover (LULC) configuration on the export of total nitrogen (TN) and total phosphorus (TP) in an anthropogenically impacted river basin. We characterized the baseline landscape and generated synthetic LULC scenarios using the rflsgen (version 1.2.2) R package. Landscape metrics were calculated with landscape metrics, and nutrient export was modeled with the Nutrient Delivery Ratio (NDR) module of InVEST. The results demonstrate that spatial arrangement of the landscape is a key determinant of nutrient dynamics. Agriculture and urban areas have the greatest impact on nutrient export. Nutrient delivery is maximized when these LULC classes are configured in large, compact, and simply-shaped patches with high connectivity, which facilitates efficient hydrological transport. Conversely, fragmented natural grasslands and aggregated forests with regular shapes are associated with lower nutrient export, highlighting their role as nutrient sinks. This integrative methodology provides a novel framework for reproducible spatial experiments, offering evidence-based insights for land-use planning aiming to mitigate eutrophication and enhance ecosystem health.Fil: Paná, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaFil: Gauto, Víctor Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Investigación para el Desarrollo Territorial y del Hábitat Humano. Universidad Nacional del Nordeste. Facultad de Arquitectura y Urbanismo. Instituto de Investigación para el Desarrollo Territorial y del Hábitat Humano.; Argentina. Universidad Tecnológica Nacional. Facultad Regional Resistencia; Argentina. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaFil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Geología Aplicada; ArgentinaFil: Camacho, Vera. El Colegio de la Frontera Sur; MéxicoFil: Asis, Inés del Valle. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; ArgentinaFil: Ferral, Anabella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; ArgentinaMultidisciplinary Digital Publishing Institute2025-11-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/291337Paná, Sofía; Gauto, Víctor Hugo; Bonansea, Matias; Camacho, Vera; Asis, Inés del Valle; et al.; From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins; Multidisciplinary Digital Publishing Institute; Sustainability; 17; 23; 28-11-2025; 1-252071-1050CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2071-1050/17/23/10680info:eu-repo/semantics/altIdentifier/doi/10.3390/su172310680info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2026-08-25T14:37:24Zoai:ri.conicet.gov.ar:11336/291337instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982026-08-25 14:37:25.158CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins |
| title |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins |
| spellingShingle |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins Paná, Sofía LANDSCAPE METRICS NUTRIENT EXPORT SPATIAL CONFIGURATION SUQUÍA RIVER |
| title_short |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins |
| title_full |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins |
| title_fullStr |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins |
| title_full_unstemmed |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins |
| title_sort |
From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins |
| dc.creator.none.fl_str_mv |
Paná, Sofía Gauto, Víctor Hugo Bonansea, Matias Camacho, Vera Asis, Inés del Valle Ferral, Anabella |
| author |
Paná, Sofía |
| author_facet |
Paná, Sofía Gauto, Víctor Hugo Bonansea, Matias Camacho, Vera Asis, Inés del Valle Ferral, Anabella |
| author_role |
author |
| author2 |
Gauto, Víctor Hugo Bonansea, Matias Camacho, Vera Asis, Inés del Valle Ferral, Anabella |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
LANDSCAPE METRICS NUTRIENT EXPORT SPATIAL CONFIGURATION SUQUÍA RIVER |
| topic |
LANDSCAPE METRICS NUTRIENT EXPORT SPATIAL CONFIGURATION SUQUÍA RIVER |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
Landscape spatial patterns are critical drivers of ecological processes, including nutrient cycling from terrestrial to aquatic systems, which ultimately modulate microorganism biodiversity. The emergence of robust spatial analysis tools now makes it possible to disentangle these complex relationships through controlled scenario generation. This study assesses the influence of land use and land cover (LULC) configuration on the export of total nitrogen (TN) and total phosphorus (TP) in an anthropogenically impacted river basin. We characterized the baseline landscape and generated synthetic LULC scenarios using the rflsgen (version 1.2.2) R package. Landscape metrics were calculated with landscape metrics, and nutrient export was modeled with the Nutrient Delivery Ratio (NDR) module of InVEST. The results demonstrate that spatial arrangement of the landscape is a key determinant of nutrient dynamics. Agriculture and urban areas have the greatest impact on nutrient export. Nutrient delivery is maximized when these LULC classes are configured in large, compact, and simply-shaped patches with high connectivity, which facilitates efficient hydrological transport. Conversely, fragmented natural grasslands and aggregated forests with regular shapes are associated with lower nutrient export, highlighting their role as nutrient sinks. This integrative methodology provides a novel framework for reproducible spatial experiments, offering evidence-based insights for land-use planning aiming to mitigate eutrophication and enhance ecosystem health. Fil: Paná, Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina Fil: Gauto, Víctor Hugo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Nordeste. Instituto de Investigación para el Desarrollo Territorial y del Hábitat Humano. Universidad Nacional del Nordeste. Facultad de Arquitectura y Urbanismo. Instituto de Investigación para el Desarrollo Territorial y del Hábitat Humano.; Argentina. Universidad Tecnológica Nacional. Facultad Regional Resistencia; Argentina. Comisión Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina Fil: Bonansea, Matias. Universidad Nacional de Rio Cuarto. Facultad de Cs.exactas Fisicoquimicas y Naturales. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente. - Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico Conicet - Cordoba. Instituto de Ciencias de la Tierra, Biodiversidad y Ambiente.; Argentina. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales. Departamento de Geología Aplicada; Argentina Fil: Camacho, Vera. El Colegio de la Frontera Sur; México Fil: Asis, Inés del Valle. Universidad Nacional de Córdoba. Facultad de Ciencias Económicas; Argentina Fil: Ferral, Anabella. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Comision Nacional de Actividades Espaciales. Instituto de Altos Estudios Espaciales "Mario Gulich"; Argentina |
| description |
Landscape spatial patterns are critical drivers of ecological processes, including nutrient cycling from terrestrial to aquatic systems, which ultimately modulate microorganism biodiversity. The emergence of robust spatial analysis tools now makes it possible to disentangle these complex relationships through controlled scenario generation. This study assesses the influence of land use and land cover (LULC) configuration on the export of total nitrogen (TN) and total phosphorus (TP) in an anthropogenically impacted river basin. We characterized the baseline landscape and generated synthetic LULC scenarios using the rflsgen (version 1.2.2) R package. Landscape metrics were calculated with landscape metrics, and nutrient export was modeled with the Nutrient Delivery Ratio (NDR) module of InVEST. The results demonstrate that spatial arrangement of the landscape is a key determinant of nutrient dynamics. Agriculture and urban areas have the greatest impact on nutrient export. Nutrient delivery is maximized when these LULC classes are configured in large, compact, and simply-shaped patches with high connectivity, which facilitates efficient hydrological transport. Conversely, fragmented natural grasslands and aggregated forests with regular shapes are associated with lower nutrient export, highlighting their role as nutrient sinks. This integrative methodology provides a novel framework for reproducible spatial experiments, offering evidence-based insights for land-use planning aiming to mitigate eutrophication and enhance ecosystem health. |
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2025 |
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2025-11-28 |
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http://hdl.handle.net/11336/291337 Paná, Sofía; Gauto, Víctor Hugo; Bonansea, Matias; Camacho, Vera; Asis, Inés del Valle; et al.; From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins; Multidisciplinary Digital Publishing Institute; Sustainability; 17; 23; 28-11-2025; 1-25 2071-1050 CONICET Digital CONICET |
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Paná, Sofía; Gauto, Víctor Hugo; Bonansea, Matias; Camacho, Vera; Asis, Inés del Valle; et al.; From Land to Rivers: Exploring Landscape Connectivity and Nutrient Transport in River Basins; Multidisciplinary Digital Publishing Institute; Sustainability; 17; 23; 28-11-2025; 1-25 2071-1050 CONICET Digital CONICET |
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eng |
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