Title:
Prof. Dr.
Name:
Florian Jansen
Phone:
No information available
URL:
No information available
Roles:
Plant Data
(Principle investigator)
sMon - Analyzing trends in German biodiversity data
(Principle investigator)
sMon Community Workshop 2023-01
(Principle investigator)
Behörde für Umwelt und Energie (Hamburg)
(Principle investigator)
Filter:
sPlants: Plant Data
Description:
This subproject delivers, creates and works with a focus on data that deal with vascular plants. Members of this group originate from Federal Agencies, the NetPhyD (Netzwerk Phytodiversität Deutschlands) and scientists that contribute and work on ...
Id:
5
Users:
9
Datasets:
14
Proposals:
2
Attachments:
0
Created at:
2018-01-15
Updated at:
2018-01-15
sMon: sMon - Analyzing trends in German biodiversity data
Description:
General:
sMon is a two-year Synthesis Project of the German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig. We aim at combining and harmonizing exemplary datasets of different taxa and habitats and to evaluate the potenti...
Id:
1
Users:
7
Datasets:
49
Proposals:
2
Attachments:
0
Created at:
2018-01-15
Updated at:
2018-01-15
sMon_CWS_2023: sMon Community Workshop 2023-01
Description:
Presentations and results of the discussions that took place from January 23 to 25, 2023 at iDiv in Leipzig.
Id:
26
Users:
6
Datasets:
1
Proposals:
0
Attachments:
0
Created at:
2023-12-20
Updated at:
2023-12-20
BUE-HH: Behörde für Umwelt und Energie (Hamburg)
Description:
Hamburg zeichnet sich aus durch eine hohe Vielfalt an Lebensräumen für wildwachsende Pflanzenarten und wildlebende Tierarten. Von Fließgewässern über extensiv genutzte Grünlandflächen bis hin zu Wäldern bietet Hamburg vielen, auch seltenen Arten L...
Id:
12
Users:
7
Datasets:
2
Proposals:
0
Attachments:
0
Created at:
2018-01-15
Updated at:
2018-01-15
No information available
Filter:
Plant data: Occurrence data of plant species (Viridiplantae) in Raster Quadrants in Mecklenburg-Vorpommern (Partly dataset)
Abstract:
The dataset presented here is only a exemplary excerpt from the full list of plant species occurrences per Grid cell in Mecklenburg-Vorpommern. It is derived from the floraMV given to David Eichenberg by Florian Jansen in November 2017. The taxono...
Id:
23
Users:
3
Projects:
4
Datafiles:
1
Attachments:
2
Created at:
2018-01-18
Updated at:
2018-01-21
Othoptera Data: Raster Quadrants with Orthoptera occureces in Mecklenburg-Vorpommern (Partly dataset)
Abstract:
Occurence data of Orthopterans in the federal state of Mecklenburg-Vorpommern. The data are aggregated from a shapefile with data of mixed spatial resolution (i.e. exact, exact with uncertainity and on raster niveau) to a common resultion, which i...
Id:
38
Users:
5
Projects:
3
Datafiles:
1
Attachments:
3
Created at:
2018-01-21
Updated at:
2018-01-21
FlorkartPlus: An extensive Dataset of floristic observations in Germany
Abstract:
This dataset was compiled through the joint efforts of the sMon working group (www.idiv.de/smon) in 2017-2018. We compiled a multitude of data sources on floristic observation data, starting with the FlorKart Dataset, priveded by the German federa...
Id:
52
Users:
31
Projects:
1
Datafiles:
1
Attachments:
1
Created at:
2020-08-28
Updated at:
2020-08-28
Similarity weights of German Raster Quadrants
Abstract:
Ecological similarity weights of German Raster quadrants according to 76 different variables. This dataset is a companion to the Analyses presented in Eichenberg et al. (2020). It is used to weight the Occurrence probabilities of a species A in gr...
Id:
53
Users:
9
Projects:
1
Datafiles:
2
Attachments:
2
Created at:
2020-09-02
Updated at:
2020-09-02
Data to compute ecological similarity of German Raster Quadrants
Abstract:
This is a collection of climatic, edaphic and geographic information that was used to calculate the ecological similarity weights for the Frescalo analyses pesented in Eichenberg et al (2020).
o Climatic similarity was calculated based on the cl...
Id:
54
Users:
8
Projects:
1
Datafiles:
1
Attachments:
1
Created at:
2020-09-02
Updated at:
2020-09-02
Geographical distances (in km) between German gid-cells
Abstract:
This dataset gives the distances between the central coordinates of the German raster grid-cells (MTB_Q) in km. It can be e.g. used as distance weights to compute the similarity weights for the Frescalo algrithm (Hill 2012).
NOTE: This is only a ...
Id:
55
Users:
9
Projects:
1
Datafiles:
1
Attachments:
1
Created at:
2020-09-02
Updated at:
2020-09-02
Plant Data: Mapped Biotope Signed Distance Field 2021
Abstract:
No information avialable
Id:
57
Users:
5
Projects:
1
Datafiles:
0
Attachments:
0
Created at:
2024-02-09
Updated at:
2024-02-09
No information available
No information available
No information available
Filter:
Moderately common plants show highest relative losses
Abstract:
Nature conservation efforts often focus on rare species. Common and moderately common species, however, receive much less attention. Our analysis of occupancy change of flora using a grid survey in 1980 and a habitat mapping survey in 2000 in Nort...
Id:
7
Users:
7
Datafiles:
1
Attachments:
0
Board:
Final
State:
Accepted
Created at:
2020-09-02
Updated at:
2022-09-02
Langfristige Biodiversitätsveränderungen in Deutschland erkennen – mit Hilfe der Vergangenheit in die Zukunft schauen
Abstract:
[German]
Im vorliegenden Beitrag identifizieren wir Möglichkeiten und Grenzen einer Aufarbeitung bisher noch ungenutzter Datenquellen für raum-zeitliche Biodiversitätsanalysen in
Deutschland. Im Rahmen des Syntheseprojektes sMon (https://www.idi...
Id:
5
Users:
40
Datafiles:
0
Attachments:
1
Board:
Final
State:
Accepted
Created at:
2020-08-18
Updated at:
2022-08-18
Using incomplete floristic monitoring data from habitat mapping programmes to detect species trends
Abstract:
Aim: The loss of biodiversity has raised serious concerns about the entailing losses of ecosystem services. Here, we explore the potential of repeated habitat mapping data to identify floristic changes over time. Using one German federal state as ...
Id:
6
Users:
12
Datafiles:
0
Attachments:
0
Board:
Final
State:
Accepted
Created at:
2020-09-02
Updated at:
2022-09-02
No information available