Monitoring of arable weed flora within a catchment in Northeast Germany

The datasets consists of detailed weed flora records on 43 constant plots. The data consist of two methods performed in parallel: 1. Weed species inventory (performed as species mapping on a 2ha areal), focussing on full species inventory and 2. detailed community structure record (performed as surveys at three fix plots of 25m*m size), focussing on quantitative relationsships between crops and weeds and between single weed species. Within every year 2-3 different dates are recorded. For both methodologies there are abundance values avialable for every single occurring species either as spatial frequency (1) or as coverage values in % (2). Available additonal data are: crop kind, crop abundance, soil type, soil nutrients, detailed climate data (from one central local station), detailed management data (soil tillage, pest manegement, fertilization, yields,..)

Download Metadata as EML

Data and Resources

This dataset has no data

Additional Info

Field Value
Geographic coverage
Geographic description Lowlands in North Germany, Uckermark, Quillow watershed
Bounding coordinates
North: 53.4117
West: 13.8422
East: 13.8422
South: 53.4117
Temporal coverage
Timestep April 1, 1999
Taxonomic coverage
class level weed species
General taxonomic description weed species (class), 320 (1-Inventory); 180 (2-detailed community record); data covers nearly the full regional inventory of arable weeds
Other info
Last Updated February 10, 2021, 14:20 (UTC)
Created February 10, 2021, 14:20 (UTC)

Responsible parties

Creator
Name Michael Glemnitz
Organization affiliations
Leibniz Centre for Agricultural Landscape Research (ZALF)

Eberswalder Strasse, 84
15374 Müncheberg
Germany

Role

Contact
Name Michael Glemnitz
E-mail
Organization affiliations
Leibniz Centre for Agricultural Landscape Research (ZALF)

Eberswalder Strasse, 84
15374 Müncheberg
Germany

Associated party
Name Michael Glemnitz
Role

Research data management planning

Data will be stored at (long-term archived) Information still missing

Link to this dataset:

https://dataportal.senckenberg.de/dataset/6e682b3e-c626-40d8-9220-cf064a3e2092