Quickstart
This quick start manual is for all users who would like to have a short
overview of the basic information and applications of the LEDA Traitbase.
The LEDA Traitbase: An open internet database of life-history traits of
the Northwest European flora
The LEDA Traitbase (LEDA: Life history traits of the Northwest European Flora -
a database) can be used as a data source for fundamental research on plant
biodiversity and coexistence, macro-ecological patterns and plant functional
responses. A selection of the 3000 priority vascular plant species was made
according to the species frequencies in the core countries i.e. UK, The
Netherlands and Germany, disregarding alpine species and extremely rare species.
The database consists of a relational database linking species with 26 plant
traits and reference information about data source, location, habitat and trait
measurement protocol on three core sets of traits: (i) persistence (vegetative)
traits such as leaf, stem and clonal growth characteristics; (ii) regeneration
traits such as seed production, seed longevity and (iii) dispersal traits such
as seed weight, dispersal vectors, floating capacity and vertical terminal
velocity of propagules.
The trait data were derived from several databases (see Kleyer et al., 2008 for
details) and from literature. Data identified as missing in the literature were
obtained following strict collecting and measuring standards are described in
Knevel et al. (2005).
Information about the organisation of the LEDA Traitbase (e.g. traits in
LEDA, geographical range Traitbase, taxonomic core) can be found under the
Organisation button on the left site menu:
The submenu under the Usage button guides you further towards the
data standards used for collecting and measuring the data (see also Knevel et
al. 2005), Data structure and aggregation as well as tutorials to show some
potential applications of the LEDA Traitbase:
Who can use the database?
LEDA is a useful and important source of information for all who are interested
in plant traits and their relevance to the conservation and sustainable use of
biodiversity in changing European landscapes. For instance, the LEDA Traitbase
will facilitate retrieval of the data by researchers, land use managers, nature
conservation managers, and landscape planners, to name a few.
The database holds a wealth of information for all who are interested in plants
species; from a single species to large species pools. The LEDA Traitbase will
be therefore useful in the functional analysis of plant species-environment
relations and the prediction of plant biodiversity change in EU on a habitat,
landscape or region scale.
How do you extract data from the database?
The web address www.leda-traitbase.org brings you to the homepage of the LEDA
Traitbase. There are several ways to be able to get the data from the database:
1). Query the database on a plant trait level using (WebQuery tool), or
2). Query the database on a species level (Species fact sheet). Using the
WebQuery tool you can query the whole database or your own selected species
list that you can upload to the database. The Species fact sheet gives a trait
overview of one species (see further below for details. The application
"Species Fact Sheet" can be used without the need to login to the database,
but to be able to query the database you have to register first. Registration
is just a formality and can be done by clicking on the "Register now!" on the
righthand site of the screen and fill in your details:
How to register. Registration is a formailty so your details and email address
are know, i.e. to be able to send query results to you.
After registration you receive a confirmation email and you are ready to login
with your choosen username and password. After login you are able to use all
applications. To start your query of the database you can either use the
Species factsheets or Queries under the dropdownmenu under the
Applications button:
The welcome page of the LEDA Traitbase after login, with left the menu to
navigate through the website. Under the Aplications button you can find the
Species factsheet and the web query tool (Queries).
NOTE: Whenever browsing through the webpage and want to go back, it
is advised to use the "leda (see Fig. 2) link" in menu at the top of the page
to go back to the home page. Please keep in mind that the usage of the
browser's back-button can confuses this webapplication. Please use the
built-in navigation functions instead.
Species factsheet
If you would like to have an overview of a species and its traits, the species
factsheet is the fastest way to get that information. The factsheet will give 1
aggregated or mean value per trait for that species. When you click on the
Species factsheets button (under LEDA Traitbase/Applications)
you can choose on the welcome page if you would like to use Search or
Species list to obtain the species information. With these methods you
can search for a species covered by the LEDA Traitbase. However, before you
start a search you need to select a species list in which you would like to
search for a species (see fig. 3) as species might have different names in
different countries.
For the Search method you have to enter a search condition, which can
be either a species name or part of a species name (not case sensitive), for
instance "quer" for Quercus robur (see fig. 4). After you click search
an alphabetical list of matching species names is displayed as result of each
successful search operation. Choose your species from the list and the Species
fact sheet will be displayed.
When using the Species list method, clicking on the first letter of
the species will give you a list of species beginning with that letter and you
can choose subsequently from that list (fig. 4). To get more detailed species
information (in German!) or a picture of the species, there is a link to
FloraWeb at the bottom of the species fact sheet.
Figure 3. On the species factsheet start page (top) you can choose if you
would prefer to fill in your own Search conditions (middle) or find your
species in an alphabetical list using Specieslist (bottom). For both
methods the first thing to do is to select the species list in which you would
look for your species. The most important list is the SBS species list of
standardised European names from SynBioSys (see
http://www.synbiosys.alterra.nl/eu/). Other lists included are: STUK
Great Brittian; NO Norway; BE Belgium; SCAN Scandinavia; D Germany; ECN_EU
Central Europe; P Poland; NL Netherlands. The other species lists are of less
important as far as the names are concerned.
Figure 4. The result for a search using the Search method (top left) and
using the Specieslist method (top right), for the species factsheet of
Quercus robur. Note: The search string is not case sensitive. It may be any substring of a species name, e.g. "Quercus robur" can be found by entering "quer", "cus" or "robur".
WebQuery tool
To obtain more detailed trait information; the WebQuery Tool is the method
to use. For this method you need to be registered and login. When you click on
Queries (under LEDA Traitbase/Applications) you can choose to
query the whole list of species contained in LEDA (go straight to the query by
clicking on the Query Composition tab). Alternatively, you could choose
to upload your own species list (click Species Selection tab):
When you click on Species Selection to upload your own species list,
make sure that the file should be a text file (.txt file extension) and each
row should contain a single species name or genus name Please note that there
should be no lines and no trailing blanks following the species names in the
file as this will break down the upload. Step 1 is to upload your species list
and click the Add LEDA species from file button. This make take a few minutes,
so please be patient. In step 2 you can select a few species from your file or
decide to keep the whole list. Select your species and click the Add to species
election button:
After selection of the species, the move to the Currently selected species
part of the page and you can carry by clicking on the Continue to query
composition:
After clicking on the Continue to query composition button you come to
the query building phase. When you logout of LEDA, the database will remember
your selected species for the next time you want to use the database, as is the
case with the last selected trait and attributes.
At the start page of the query composition you can choose to show or hide
the instructions to help you through the query:
To start a query, you first select a single trait from the dropdown
menu (i.e. Terminal velocity), click add trait and after that you will
be able to select the trait attributes you want. You can use the default
button which gives you a standard list of attributes, or select your own
attributes from the dropdown menu and click the add attribute button to
select the attribute. Please note that you select one attribute at a time, but
multiple attributes can be selected as a whole:
Please refer to the online help (click help button in the main menu
at the top of the page) for the distinction between aggregated attributes
(indicated with "(aggr)") and non-aggregated attributes or go to
Usage/DATA STRUCTURE. If you need aggregated attributes please select
only "SBS name", "SBS number" and the respective aggregated attributes. If you
need raw data records, do not select the aggregated attributes (will give an
error message anyway). Aggregated attributes are not available for all traits.
Whenever possible, use the raw data, do your own quality check and selection of
the data and then perform your own aggregation.
After you choose the trait and its attributes, you can (if you prefer)
modify the order (step 2) of presentation of the data, for instance, you can
move a certain attribute (e.g. SBS name) to the first column. In step 3 you
can modify your query results further by selecting "null values allowed" to
allow cells without content to appear in query results:
The 4th step in the query composition is to decide upon your data quality
and data type. Here you can select the data to be used in queries and
aggregations. The preaggregated data records are either calculated from
single measurements or originate from literature and databases. High quality
data indicate data that were error-checked several times. Low quality
data were not checked for errors.
In the final phase (step 5) the query will be submitted by clicking on the
execute query button. Alternatively you can clear the query and start a
new one:
After the query has been executed, the Results screen appears. It is possible
to save the query (click save query button) or to send the query results
to your email address (click on the CSV file button). The query results
will be send to your email address as a comma separated file (CSV file) which
can be opened with the excel program. When you want to perform another query
or change the attributes of the query, please return to the WebQuery tool by
clicking on the back to query button. Please do not use the back button of your web browser as this can confuse the webapplication and might cause the loss of your query set up:
When you click on the save query button on the Result page, you get
the screen where you can name your query and save it. At a later stage you can
find the saved queries under the Predefined & Saved Queries tab and
execute, change or delete the saved query:
Where do I get useful background information regarding content and
organisation of the LEDA Traitbase?
To receive more information regarding (i) the traits covered by LEDA,
(ii) LEDA's geographical range, and (iii) the taxonomic reference lists,
please refer to the menue LEDA Traitbase/Organisation. Use either
Trait Overview, or Geographical Range and Taxonomy.
Where do I find background information to use the LEDA Traitbase?
The LEDA Traitbase web pages provide information regarding usage of the
Traitbase. See LEDA Traitbase/Usage. Select either Data standards,
Data structure, Modes of aggregation or Tutorials.
Data standards provide the LEDA Collecting and Measuring Standards
for each trait in the database as pdf files. They describe how traits were
collected and measured, and their functional relevance
Data structure describes the differences between the "Raw data level",
e.g. a trait value of a species from a single referenced study, and the
"Aggregated data level", e.g. the mean seed weight of a certain species
calculated from all available studies in the Traitbase. Please note that the
data can originate from different sources of different quality. The aggregation
might mix different data qualities. We recommend to always use the raw data
level in addition to the aggregation.
Tutorials comprise case studies that used traits for prediction of
successions in land use systems and other interesting fields of applied
vegetation science.
Acknowledgements
The LEDA Traitbase project was funded by the European Commission through
the 5th framework under the EESD programme, project number EVR1-CT-2002-40022.
More (detailed) information can be found in:
Kleyer, M., Bekker, R.M., Knevel, I.C., Bakker, J.P, Thompson, K., Sonnenschein, M., Poschlod, P., Van Groenendael, J.M., Klimes, L., Klimesova, J., Klotz, S., Rusch, G.M., Hermy, M., Adriaens, D., Boedeltje, G., Bossuyt, B., Dannemann, A., Endels, P., Götzenberger, L., Hodgson, J.G., Jackel, A-K., Kühn, I., Kunzmann, D., Ozinga, W.A., Römermann, C., Stadler, M., Schlegelmilch, J., Steendam, H.J., Tackenberg, O., Wilmann, B., Cornelissen, J.H.C., Eriksson, O., Garnier, E., Peco, B. (2008) The LEDA Traitbase: A database of life-history traits of Northwest European flora. Journal of Ecology, 96, 1266-1274.
Knevel, I.C., Bekker, R.M, Kunzmann, D., Stadler, M. & Thompson, K. (2005) The LEDA Traitbase collecting and measuring standards of life-history traits of the NW European flora. Published by the University of Groningen, Groningen, The Netherlands. Available online at: http://www.LEDA-Traitbase.org.
|