Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties

Soil is a reservoir of natural capital that provides several ecosystem services, ensuring human well-being and sustainable socioeconomic development. Many researchers nevertheless argue that there is no consensus on practical indicators to assess soil ecosystem services (SES). As many policy decisio...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yosra Ellili-Bargaoui, Christian Walter, Blandine Lemercier, Didier Michot
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Soil ecosystem services STICS Biophysical indicators Provisioning ecosystem services Regulating ecosystem services Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/f11c9340f24748b98e07f18ed7c2ba2d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f11c9340f24748b98e07f18ed7c2ba2d
record_format	dspace
spelling	oai:doaj.org-article:f11c9340f24748b98e07f18ed7c2ba2d2021-12-01T04:39:00ZAssessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties1470-160X10.1016/j.ecolind.2020.107211https://doaj.org/article/f11c9340f24748b98e07f18ed7c2ba2d2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X2031150Xhttps://doaj.org/toc/1470-160XSoil is a reservoir of natural capital that provides several ecosystem services, ensuring human well-being and sustainable socioeconomic development. Many researchers nevertheless argue that there is no consensus on practical indicators to assess soil ecosystem services (SES). As many policy decisions rely on metrics and indicators to communicate concise and relevant information, an assessment of ecosystem service indicators can help identifying gaps hindering policymakers from more fully adopting ecosystem service approaches. The aim of this study was to develop a method to quantitatively evaluate six SES using a set of indicators derived from dynamic soil and crop modelling using the STICS model developed by INRA. In a 6 775 km2 study area in north-western France (Brittany), 64 soil sampling points, located in agricultural areas, were selected following a stratified random sampling design based on soil parent material stratification. STICS inputs required climate data, soil property data and soil and landscape management practices. Over a baseline period from 1988 to 2018, similar crop management practices were simulated that reflected the dominant one performed by conventional farmers across the study site: applying organic and mineral fertilizers to a maize-wheat-catch crop rotation. Also, STICS outputs were used to derive six biophysical indicators characterizing six SES. Both mean and annual SES indicators were calculated and analyzed. Interrelations among SES indicators and soil properties were investigated using a Pearson correlation matrix, multivariate variance analysis and regression-based methods. The main results revealed that pedological and inter-annual variability were the main drivers of SES provision, particularly for ground water recharge, plant biomass provision, plant water provision and carbon sequestration. All SES were strongly correlated, except carbon sequestration and plant nitrogen provision, which showed weak correlations with the rest of SES. Moreover, analyzing interrelations between SES indicators and soil properties such as soil depth, soil texture and its related variables such as available water capacity played a predominant role in ensuring high levels of water-related SES indicators. Meanwhile, physicochemical soil properties were strongly correlated with carbon sequestration but less so with plant nitrogen provision. Overall, these findings characterize the effect of soil variability on SES provision using modelling and field measures of several soil properties, which can be useful for policy makers.Yosra Ellili-BargaouiChristian WalterBlandine LemercierDidier MichotElsevierarticleSoil ecosystem servicesSTICSBiophysical indicatorsProvisioning ecosystem servicesRegulating ecosystem servicesEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107211- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Soil ecosystem services STICS Biophysical indicators Provisioning ecosystem services Regulating ecosystem services Ecology QH540-549.5
spellingShingle	Soil ecosystem services STICS Biophysical indicators Provisioning ecosystem services Regulating ecosystem services Ecology QH540-549.5 Yosra Ellili-Bargaoui Christian Walter Blandine Lemercier Didier Michot Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties
description	Soil is a reservoir of natural capital that provides several ecosystem services, ensuring human well-being and sustainable socioeconomic development. Many researchers nevertheless argue that there is no consensus on practical indicators to assess soil ecosystem services (SES). As many policy decisions rely on metrics and indicators to communicate concise and relevant information, an assessment of ecosystem service indicators can help identifying gaps hindering policymakers from more fully adopting ecosystem service approaches. The aim of this study was to develop a method to quantitatively evaluate six SES using a set of indicators derived from dynamic soil and crop modelling using the STICS model developed by INRA. In a 6 775 km2 study area in north-western France (Brittany), 64 soil sampling points, located in agricultural areas, were selected following a stratified random sampling design based on soil parent material stratification. STICS inputs required climate data, soil property data and soil and landscape management practices. Over a baseline period from 1988 to 2018, similar crop management practices were simulated that reflected the dominant one performed by conventional farmers across the study site: applying organic and mineral fertilizers to a maize-wheat-catch crop rotation. Also, STICS outputs were used to derive six biophysical indicators characterizing six SES. Both mean and annual SES indicators were calculated and analyzed. Interrelations among SES indicators and soil properties were investigated using a Pearson correlation matrix, multivariate variance analysis and regression-based methods. The main results revealed that pedological and inter-annual variability were the main drivers of SES provision, particularly for ground water recharge, plant biomass provision, plant water provision and carbon sequestration. All SES were strongly correlated, except carbon sequestration and plant nitrogen provision, which showed weak correlations with the rest of SES. Moreover, analyzing interrelations between SES indicators and soil properties such as soil depth, soil texture and its related variables such as available water capacity played a predominant role in ensuring high levels of water-related SES indicators. Meanwhile, physicochemical soil properties were strongly correlated with carbon sequestration but less so with plant nitrogen provision. Overall, these findings characterize the effect of soil variability on SES provision using modelling and field measures of several soil properties, which can be useful for policy makers.
format	article
author	Yosra Ellili-Bargaoui Christian Walter Blandine Lemercier Didier Michot
author_facet	Yosra Ellili-Bargaoui Christian Walter Blandine Lemercier Didier Michot
author_sort	Yosra Ellili-Bargaoui
title	Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties
title_short	Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties
title_full	Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties
title_fullStr	Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties
title_full_unstemmed	Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties
title_sort	assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/f11c9340f24748b98e07f18ed7c2ba2d
work_keys_str_mv	AT yosraellilibargaoui assessmentofsixsoilecosystemservicesbycouplingsimulationmodellingandfieldmeasurementofsoilproperties AT christianwalter assessmentofsixsoilecosystemservicesbycouplingsimulationmodellingandfieldmeasurementofsoilproperties AT blandinelemercier assessmentofsixsoilecosystemservicesbycouplingsimulationmodellingandfieldmeasurementofsoilproperties AT didiermichot assessmentofsixsoilecosystemservicesbycouplingsimulationmodellingandfieldmeasurementofsoilproperties
_version_	1718405878334357504

Assessment of six soil ecosystem services by coupling simulation modelling and field measurement of soil properties

Ejemplares similares