Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)

Modelling ecosystem services (ES) has become a new standard for the quantification and assessment of various ES. Multiple ES model applications are available that spatially estimate ES supply on the basis of land-use/land-cover (LULC) input data. This paper assesses how different input LULC datasets...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ina M. Sieber, Malte Hinsch, Marta Vergílio, Artur Gil, Benjamin Burkhard
Formato:	article
Lenguaje:	EN
Publicado:	Pensoft Publishers 2021
Materias:	InVEST ecosystem services modelling Islands geo Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/9d44af4d555c4888bf3260b31c8d76c0
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9d44af4d555c4888bf3260b31c8d76c0
record_format	dspace
spelling	oai:doaj.org-article:9d44af4d555c4888bf3260b31c8d76c02021-11-04T04:30:26ZAssessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)10.3897/oneeco.6.e691192367-8194https://doaj.org/article/9d44af4d555c4888bf3260b31c8d76c02021-11-01T00:00:00Zhttps://oneecosystem.pensoft.net/article/69119/download/pdf/https://oneecosystem.pensoft.net/article/69119/download/xml/https://oneecosystem.pensoft.net/article/69119/https://doaj.org/toc/2367-8194Modelling ecosystem services (ES) has become a new standard for the quantification and assessment of various ES. Multiple ES model applications are available that spatially estimate ES supply on the basis of land-use/land-cover (LULC) input data. This paper assesses how different input LULC datasets affect the modelling and mapping of ES supply for a case study on Terceira Island, the Azores (Portugal), namely: (1) the EU-wide CORINE LULC, (2) the Azores Region official LULC map (COS.A 2018) and (3) a remote sensing-based LULC and vegetation map of Terceira Island using Sentinel-2 satellite imagery. The InVEST model suite was applied, modelling altogether six ES (Recreation/Visitation, Pollination, Carbon Storage, Nutrient Delivery Ratio, Sediment Delivery Ratio and Seasonal Water Yield). Model outcomes of the three LULC datasets were compared in terms of similarity, performance and applicability for the user. For some InVEST modules, such as Pollination and Recreation, the differences in the LULC datasets had limited influence on the model results. For InVEST modules, based on more complex calculations and processes, such as Nutrient Delivery Ratio, the output ES maps showed a skewed distribution of ES supply. Yet, model results showed significant differences for differences in all modules and all LULCs. Understanding how differences arise between the LULC input datasets and the respective effect on model results is imperative when computing model-based ES maps. The choice for selecting appropriate LULC data should depend on: 1) the research or policy/decision-making question guiding the modelling study, 2) the ecosystems to be mapped, but also on 3) the spatial resolution of the mapping and 4) data availability at the local level. Communication and transparency on model input data are needed, especially if ES maps are used for supporting land use planning and decision-making.Ina M. SieberMalte HinschMarta VergílioArtur GilBenjamin BurkhardPensoft PublishersarticleInVESTecosystem services modellingIslandsgeoEcologyQH540-549.5ENOne Ecosystem, Vol 6, Iss , Pp 1-26 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	InVEST ecosystem services modelling Islands geo Ecology QH540-549.5
spellingShingle	InVEST ecosystem services modelling Islands geo Ecology QH540-549.5 Ina M. Sieber Malte Hinsch Marta Vergílio Artur Gil Benjamin Burkhard Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)
description	Modelling ecosystem services (ES) has become a new standard for the quantification and assessment of various ES. Multiple ES model applications are available that spatially estimate ES supply on the basis of land-use/land-cover (LULC) input data. This paper assesses how different input LULC datasets affect the modelling and mapping of ES supply for a case study on Terceira Island, the Azores (Portugal), namely: (1) the EU-wide CORINE LULC, (2) the Azores Region official LULC map (COS.A 2018) and (3) a remote sensing-based LULC and vegetation map of Terceira Island using Sentinel-2 satellite imagery. The InVEST model suite was applied, modelling altogether six ES (Recreation/Visitation, Pollination, Carbon Storage, Nutrient Delivery Ratio, Sediment Delivery Ratio and Seasonal Water Yield). Model outcomes of the three LULC datasets were compared in terms of similarity, performance and applicability for the user. For some InVEST modules, such as Pollination and Recreation, the differences in the LULC datasets had limited influence on the model results. For InVEST modules, based on more complex calculations and processes, such as Nutrient Delivery Ratio, the output ES maps showed a skewed distribution of ES supply. Yet, model results showed significant differences for differences in all modules and all LULCs. Understanding how differences arise between the LULC input datasets and the respective effect on model results is imperative when computing model-based ES maps. The choice for selecting appropriate LULC data should depend on: 1) the research or policy/decision-making question guiding the modelling study, 2) the ecosystems to be mapped, but also on 3) the spatial resolution of the mapping and 4) data availability at the local level. Communication and transparency on model input data are needed, especially if ES maps are used for supporting land use planning and decision-making.
format	article
author	Ina M. Sieber Malte Hinsch Marta Vergílio Artur Gil Benjamin Burkhard
author_facet	Ina M. Sieber Malte Hinsch Marta Vergílio Artur Gil Benjamin Burkhard
author_sort	Ina M. Sieber
title	Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)
title_short	Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)
title_full	Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)
title_fullStr	Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)
title_full_unstemmed	Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)
title_sort	assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - case study terceira island (azores, portugal)
publisher	Pensoft Publishers
publishDate	2021
url	https://doaj.org/article/9d44af4d555c4888bf3260b31c8d76c0
work_keys_str_mv	AT inamsieber assessingtheeffectsofdifferentlanduselandcoverinputdatasetsonmodellingandmappingterrestrialecosystemservicescasestudyterceiraislandazoresportugal AT maltehinsch assessingtheeffectsofdifferentlanduselandcoverinputdatasetsonmodellingandmappingterrestrialecosystemservicescasestudyterceiraislandazoresportugal AT martavergilio assessingtheeffectsofdifferentlanduselandcoverinputdatasetsonmodellingandmappingterrestrialecosystemservicescasestudyterceiraislandazoresportugal AT arturgil assessingtheeffectsofdifferentlanduselandcoverinputdatasetsonmodellingandmappingterrestrialecosystemservicescasestudyterceiraislandazoresportugal AT benjaminburkhard assessingtheeffectsofdifferentlanduselandcoverinputdatasetsonmodellingandmappingterrestrialecosystemservicescasestudyterceiraislandazoresportugal
_version_	1718445289453387776

Assessing the effects of different land-use/land-cover input datasets on modelling and mapping terrestrial ecosystem services - Case study Terceira Island (Azores, Portugal)

Ejemplares similares