Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Ungaro F

PROVIDER: S-EPMC7749378 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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

Ungaro Fabrizio F Schwartz Carmen C Piorr Annette A

Data in brief 20201211

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 bui ...[more]

PMID: 33365373

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Project description:Tick-borne diseases are a major health risk for humans and dogs. In addition to collection and analysis of questing ticks, analysis of host-associated ticks for the presence of pathogens is a valuable method to gain insight into transmission patterns of tick-borne diseases.Ticks were collected from dogs living in the Berlin/Brandenburg area. The three tick species Ixodes ricinus, Ixodes hexagonus and Dermacentor reticulatus were examined for the presence of Babesia spp., Borrelia spp., Rickettsia spp. and Anaplasmataceae. Conventional PCR followed by sequencing was used for pathogen detection and characterization.Babesia spp. were found in 2.5% and 3% of I. ricinus and I. hexagonus, respectively. Sequencing revealed the presence of Babesia microti, Babesia capreoli and Babesia venatorum. D. reticulatus were free of Babesia canis. Rickettsia spp. were detected in 61% of I. ricinus, 44% of I. hexagonus and 39% of D. reticulatus. Specifically detected were Rickettsia raoulti in D. reticulatus and I. hexagonus, Rickettsia helvetica in I. ricinus and I. hexagonus and Rickettsia monacensis in I. hexagonus. Anaplasma phagocytophilum and Candidatus Neoehrlichia mikurensis have been reported previously in I. ricinus (6.5% and 4.3%, respectively) and I. hexagonus (3.9% and 5.9%). Borrelia spp. were found in 11.6% of I. ricinus and 11.2% of I. hexagonus. Subsequent genospecies analysis revealed Borrelia afzelii, Borrelia garinii, Borrelia burgdorferi sensu stricto and Borrelia miyamotoi. Simultanous presence of more than one pathogen was found in 20% of I. ricinus and in 59% of I. hexagonus whereas the total frequency of any pathogen was 65% in I. ricinus, 59% in I. hexagonus and 64% in D. reticulatus. Ticks in which A. phagocytophilum was detected had a significantly increased risk of also containing Rickettsia. Ticks harbouring a pathogen had significantly higher scutal indices than ticks without presence of any pathogen.Frequencies of potential human or canine pathogens in ticks were considerable and DNA of all four groups of pathogens was detected. Differences in scutal indices might suggest that pathogens are frequently taken up by ticks when feeding on dogs in Berlin/Brandenburg.

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Dataset Information

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

Publications

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

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