InVEST Soil Carbon Stock Modelling of Agricultural Landscapes as an Ecosystem Service Indicator

Lyndré Nel (), Ana Flávia Boeni, Viola Judit Prohászka, Alfréd Szilágyi, Eszter Tormáné Kovács, László Pásztor and Csaba Centeri
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Lyndré Nel: Environmental Science Doctoral School, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, Pest, 2100 Gödöllő, Hungary
Ana Flávia Boeni: Festetics Doctoral School, Hungarian University of Agriculture and Life Sciences, Deák Ferenc Str. 16, Zala, 8360 Keszthely, Hungary
Viola Judit Prohászka: Doctoral School of Landscape Architecture and Landscape Ecology, Hungarian University of Agriculture and Life Sciences, Villányi Rd. 29–43, 1118 Budapest, Hungary
Alfréd Szilágyi: Environmental Science Doctoral School, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, Pest, 2100 Gödöllő, Hungary
Eszter Tormáné Kovács: Department of Nature Conservation and Landscape Management, Institute for Wildlife Management and Nature Conservation, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, Pest, 2100 Gödöllő, Hungary
László Pásztor: Centre for Agricultural Research, Department of Soil Mapping and Environmental Informatics, Institute for Soil Sciences, Herman Ottó Rd. 15, 1022 Budapest, Hungary
Csaba Centeri: Department of Nature Conservation and Landscape Management, Institute for Wildlife Management and Nature Conservation, Hungarian University of Agriculture and Life Sciences, Páter Károly Str. 1, Pest, 2100 Gödöllő, Hungary

Sustainability, 2022, vol. 14, issue 16, 1-19

Abstract: Soil carbon storage results from interactions between ecological processes and contributes to the global chemical regulation of the atmosphere, a vital ecosystem service. Within the ecosystem services approach, measuring soil carbon stock is used as an indicator of landscapes that function as terrestrial carbon sinks and sources. Soil carbon stock models of agricultural landscapes use national carbon stock data and are used to determine environmental benchmarks and develop land-use management strategies for improved landscape-scale carbon sequestration. The InVEST Carbon Storage model has been used as a tool to map carbon stock based on these data. However, the accuracy of the national carbon inventories of Hungary is unknown. In this study, the InVEST soil carbon stock models of two agricultural landscapes in Hungary were produced based on national soil carbon stock data and in-field collected soil sample carbon stock data. Carbon stock inventories were collated and used as InVEST carbon model inputs, and the models were mapped, compared, and evaluated to determine their usefulness in the planning of maximizing soil carbon storage in sustainable land-use management and policy development. Five InVEST soil carbon stock spatial models were produced for both agricultural landscapes, which showed great variation based on the data used to develop it. Aggregate carbon stock potentially stored in the landscape-scale study areas also varied between datasets used. Integrating soil sample data along with national carbon stock data shows prospective applicability in assessing contextual landscape-scale potential soil carbon stock storage.

Keywords: soil carbon stock; ecosystem services mapping; carbon modelling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

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