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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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Potential nature contributions to people in the Neusiedl Lake region

Authors: Jung, Martin;

Potential nature contributions to people in the Neusiedl Lake region

Abstract

This upload contains several spatial layers of potential nature contributions to people (NCP). These layers are mostly derived from existed, openly available inputs (see references) and harmonized for further analysis. These layers are potential estimates, mostly obtained from Earth observation data and have not been independently validated.They can be useful as input in (cross-realm) systematic conservation planning studies, such as the one conducted as part of the Biodiversa+ funded INSPIRE project.The included layers contain in the latest version (1.0): Above Ground Biomass Carbon (AGBC) estimates for all Forest areas in Study region (see screenshot). The data are derived from the JRC Forest biomass map (see references) with units in Mg ha-1 GBC. Soil organic Carbon estimates in a depth from 0 to 200 cm below ground. Units are in Mg ha-1. Surface water seasonal availability as strong predictor of (nature-)tourism activity. Units are in months, with 12 indicating permance throughout the year. Data from Pekel et al. (see references). Farmland small woody elements on farmlands as indicators of farmland heterogeneity. Units are in fractions of small woody-elements. Data from a range of sources including Forest maps and small-woody landscape feature maps at high resolution. Potential natural pest control and pollinator supply based on a distance calculation from the field margin to semi-natural landscape elements. Units normalized to a range from 0 to 1 (unitless).

File structure: {name}__{spatialgrain}.tif Data properties: File format Geotiff Thematic resolution Continuous Spatial grain 100 m² Geographic projection WGS 84 (EPSG: 4326) Temporal grain Single year Spatial extent Continental Europe Temporal extent ~2020 - 2021

The layers are provided as is and the author takes not responsibility for misuse or mis-interpretations.

Keywords

Nature conservation, Ecosystem services, Ecosystem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average