Steffen Ehrmann
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View article: HarvestStat Africa – Harmonized Subnational Crop Statistics for Sub-Saharan Africa
HarvestStat Africa – Harmonized Subnational Crop Statistics for Sub-Saharan Africa Open
Sub-Saharan Africa faces severe agricultural data scarcity amidst high food insecurity and a large agricultural yield gap, making crop production data crucial for understanding and enhancing food systems. To address this gap, HarvestStat A…
View article: HarvestStat: a global effort towards open and standardized sub-national agricultural data
HarvestStat: a global effort towards open and standardized sub-national agricultural data Open
Agricultural production statistics underpin diverse research efforts and development activities. Yet despite their critical importance, efforts to collate, update, and harmonize detailed sub-national agricultural production statistics are …
View article: Global distribution of cattle, goats, sheep and horses at 1-km resolution for 2000—2022 based on sub-national census data and spatiotemporal Machine Learning
Global distribution of cattle, goats, sheep and horses at 1-km resolution for 2000—2022 based on sub-national census data and spatiotemporal Machine Learning Open
The paper describes the production and evaluation of annual livestock densities of cattle, horses, sheep and goats (including per-pixel 95% probability prediction intervals) at 1~km spatial resolution for the 2000—2022 period using spatiot…
View article: Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning
Annual 30-m maps of global grassland class and extent (2000–2022) based on spatiotemporal Machine Learning Open
The paper describes the production and evaluation of global grassland dynamics mapped annually for 2000-2022 at 30~m spatial resolution. The dataset showing the spatiotemporal distribution of cultivated and natural/semi-natural grassland c…
View article: The LUCKINet land use ontology
The LUCKINet land use ontology Open
1. Rationale The LUCKINet land use ontology expands AGROVOC, developed by the Food and Agriculture Organization of the United Nations (FAO). Like AGROVOC, the LUCKINet land use ontology uses semantic web technology powered by the Simple Kn…
View article: HarvestStat Africa – Harmonized Subnational Crop Statistics for Sub-Saharan Africa
HarvestStat Africa – Harmonized Subnational Crop Statistics for Sub-Saharan Africa Open
Sub-Saharan Africa faces severe agricultural data scarcity amidst high food insecurity and a large agricultural yield gap, making crop production data crucial for understanding and enhancing food systems. To address this gap, HarvestStat A…
View article: Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning Open
The paper describes the production and evaluation of global grassland dynamics mapped annually for 2000-2022 at 30~m spatial resolution. The dataset showing the spatiotemporal distribution of cultivated and natural/semi-natural grassland c…
View article: Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning
Mapping global grassland dynamics 2000—2022 at 30m spatial resolution using spatiotemporal Machine Learning Open
The paper describes the production and evaluation of global grassland dynamics mapped annually for 2000-2022 at 30~m spatial resolution. The dataset showing the spatiotemporal distribution of cultivated and natural/semi-natural grassland c…
View article: Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures
Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures Open
Geospatial data are fundamental in most global-change and sustainability-related domains. However, readily accessible information on data quality and provenance is often missing or hardly accessible for users due to technical or perceptual…
View article: Opening up FAIR in-situ land-use reference data: current gaps, obstacles and future challenges
Opening up FAIR in-situ land-use reference data: current gaps, obstacles and future challenges Open
It is becoming increasingly obvious that in order to address current global challenges and achieve the SDGs in the land-use sector, monitoring and evaluation using remote sensing technologies are essential. In particular, with the Copernic…
View article: The LUCKINet land use ontology
The LUCKINet land use ontology Open
1. Rationale The LUCKINet land use ontology expands AGROVOC (https://agrovoc.fao.org/browse/agrovoc/en/), which was developed by the Food and Agriculture Organization of the United Nations (FAO). Like AGROVOC, the LUCKINet land use ontolog…
View article: Multiscale drivers of carabid beetle (Coleoptera: Carabidae) assemblages in small European woodlands
Multiscale drivers of carabid beetle (Coleoptera: Carabidae) assemblages in small European woodlands Open
Aim The spatio‐temporal connectivity of forest patches in lowland agricultural landscapes and their age matter to explain current biodiversity patterns across regional as well as biogeographical extents, to the point that their effect exce…
View article: Data From: Strong genetic structure among populations of the tick Ixodes ricinus across its range
Data From: Strong genetic structure among populations of the tick Ixodes ricinus across its range Open
The dataset consists of individual genotypes of 497 samples obtained from 125 biallelic SNP loci in 28 populations, from 20 countries. The dataset is formated for use in STRUCTURE (Pritchard et al. 2000), with one row for sample. The first…
View article: High ecosystem service delivery potential of small woodlands in agricultural landscapes
High ecosystem service delivery potential of small woodlands in agricultural landscapes Open
Global forest loss and fragmentation have strongly increased the frequency of forest patches smaller than a few hectares. Little is known about the biodiversity and ecosystem service supply potential of such small woodlands in comparison t…
View article: Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments
Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments Open
Diluting effects of more diverse habitat patches would pose another reason to maintain or restore high biodiversity in forest patches of rural landscapes. We suggest classifying habitat patches by their regulating services as dilution and …
View article: Additional file 2: Table S5. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments
Additional file 2: Table S5. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments Open
Meta-data on study setup. Outline of the most important meta-data, such as center of each studied landscape window, dates of sampling, number of forest patches and a couple of landscape metrics to characterize the respective landscapes. (X…
View article: Additional file 5: Table S6. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments
Additional file 5: Table S6. of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments Open
Loadings of all correlation factors. (XLSX 16 kb)
View article: Additional file 1: of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments
Additional file 1: of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments Open
Focal variables as potential environmental drivers of B. burgdorferi prevalence. Table S1. Meta-variables. Table S2. Variables of habitat. Table S3. Variables of landscape. Table S4. Variables of macroclimate. (XLSX 40 kb)
View article: Additional file 9: of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments
Additional file 9: of Habitat properties are key drivers of Borrelia burgdorferi (s.l.) prevalence in Ixodes ricinus populations of deciduous forest fragments Open
Model output Table S7. Nymphal infection prevalence. Table S8. Adult infection prevalence. (XLSX 18 kb)