Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany

The dataset of the ecosystem services provided by the agricultural areas of the Märkisch-Oderland District-Brandenburg, Germany, contains six standardised indicators of ecosystem service provision, and includes one provisioning service - i) biomass production (PRO), four regulating services - ii) wa...

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Main Authors: Fabrizio Ungaro, Carmen Schwartz, Annette Piorr
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340920315250
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author Fabrizio Ungaro
Carmen Schwartz
Annette Piorr
author_facet Fabrizio Ungaro
Carmen Schwartz
Annette Piorr
author_sort Fabrizio Ungaro
collection DOAJ
description The dataset of the ecosystem services provided by the agricultural areas of the Märkisch-Oderland District-Brandenburg, Germany, contains six standardised indicators of ecosystem service provision, and includes one provisioning service - i) biomass production (PRO), four regulating services - ii) water storage (WAS), iii) carbon stock total (CST), iv) carbon stock potential (CSP), v) habitat for species (HAB), and one cultural service – vi) landscape attractiveness (LAT). The indicators were built from mostly public data, including for example the CORINE Land Cover map, the GSP-FAO soil carbon stock map, and MODIS NDVI and ASTER DEM satellite images.
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spelling doaj.art-59c7a6d92d024024a227f03a47271ed62022-12-21T18:00:12ZengElsevierData in Brief2352-34092021-02-0134106645Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, GermanyFabrizio Ungaro0Carmen Schwartz1Annette Piorr2National Research Council of Italy, Institute for BioEconomy (CNR – IBE), Sesto Fiorentino, Italy; Corresponding author.Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, GermanyLeibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, GermanyThe dataset of the ecosystem services provided by the agricultural areas of the Märkisch-Oderland District-Brandenburg, Germany, contains six standardised indicators of ecosystem service provision, and includes one provisioning service - i) biomass production (PRO), four regulating services - ii) water storage (WAS), iii) carbon stock total (CST), iv) carbon stock potential (CSP), v) habitat for species (HAB), and one cultural service – vi) landscape attractiveness (LAT). The indicators were built from mostly public data, including for example the CORINE Land Cover map, the GSP-FAO soil carbon stock map, and MODIS NDVI and ASTER DEM satellite images.http://www.sciencedirect.com/science/article/pii/S2352340920315250Ecosystem servicesAgricultural LandscapeNDVILand CoverCarbon StockBrandenburg
spellingShingle Fabrizio Ungaro
Carmen Schwartz
Annette Piorr
Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany
Data in Brief
Ecosystem services
Agricultural Landscape
NDVI
Land Cover
Carbon Stock
Brandenburg
title Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany
title_full Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany
title_fullStr Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany
title_full_unstemmed Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany
title_short Ecosystem services indicators dataset for the utilized agricultural area of the Märkisch-Oderland District-Brandenburg, Germany
title_sort ecosystem services indicators dataset for the utilized agricultural area of the markisch oderland district brandenburg germany
topic Ecosystem services
Agricultural Landscape
NDVI
Land Cover
Carbon Stock
Brandenburg
url http://www.sciencedirect.com/science/article/pii/S2352340920315250
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