Re: [pyblio] add abstract doesn't work, 1.2.1
Thies Eggers <[email protected]>
| Newsgroups | gmane.comp.gnome.apps.pybliographer |
|---|---|
| Organization | European Forest Institute |
| Message-ID | <[email protected]> |
Hello! On Friday 05 March 2004 22:24, Frederic Gobry wrote: > There is probably a bug : could you start pybliographic from a terminal > and send us the error messages. The abstract I wanted to copy/paste is attached as txt-file. I tried it with a few other abstracts and there it went fine. But it was same procedure copy/ paste. Here's the output from the shell: [email protected]:~> pybliographic /usr/lib/python2.3/xmllib.py:10: DeprecationWarning: The xmllib module is obsolete. Use xml.sax instead. DeprecationWarning) (Pybliographer:2470): GLib-GObject-WARNING **: gobject.c:946: object class `GnomeProgram' has no property named `default-icon' Traceback (most recent call last): File "/opt/gnome/share/pybliographer/Pyblio/GnomeUI/Editor.py", line 919, in apply_changes new = self.editor.update (self.database, self.current) File "/opt/gnome/share/pybliographer/Pyblio/GnomeUI/Editor.py", line 712, in update result = item.update (self.entry) File "/opt/gnome/share/pybliographer/Pyblio/GnomeUI/Editor.py", line 230, in update text = string.rstrip (text).encode ('latin-1') UnicodeEncodeError: 'latin-1' codec can't encode character u'\u2013' in position 441: ordinal not in range(256) [email protected]:~> One correction to my previous mail: the "Cancel" option worked also when pyblio didn't wanted to accept or switch to native editing. Best regards, Thies -- Thies Eggers, MSc European Forest Institute Torikatu 34, FIN - 80100 Joensuu, Finland Tel.: +358132520222, GSM: +358505264336, Fax: +35813124393
abstract.txt
(text/plain, 2.6 KB)
A forest simulation model has been applied in a regional impact assessment to investigate impacts of climate change on forest structure and function in the Federal state of Brandenburg, Germany. The forest model FORSKA-M was linked to a GIS that included soil, groundwater table and land-use maps. Two climate scenarios (current climate and a climate change of 1.5 K temperature increase which is combined with a precipitation decrease of 10?20% on average) for 40 meteorological stations in and around Brandenburg were used to assess the sensitivity of species composition to climate change. Furthermore, the implications of vegetation changes for other forest functions were analysed by means of several indicators. To evaluate the impacts of climate change on biodiversity, measures of species diversity (Shannon's and Simpson's index) and habitat and structural diversity (Seibert's index) were applied. The evaluation of impacts on groundwater recharge of natural and managed forests was carried out using the soil water balance model of FORSKA-M. At first, model simulations of the potential natural vegetation (PNV) on the whole area of Brandenburg with different climate scenarios were analysed. The results indicated that climatic warming would lead to a shift in the natural species composition in Brandenburg towards more drought tolerant species. The simulated diversity of the forests would be reduced, and groundwater recharge would be decreased. The majority of forests in the state of Brandenburg have been managed intensively in the past. At present, large areas of Brandenburg's forests are dominated by pure stands of Scots pine, but current forest management practice aims at increasing the share of deciduous and mixed forests. In order to analyse the possible consequences of climate change on forest management, forest inventory data were used to initialise FORSKA-M with representative forest stands. Simulation experiments with three different management scenarios showed that the short to mid-term effects of climatic change in terms of species composition were not as severe as expected. However, the comparison of different diversity measures indicates a decrease in the species diversity in contrast to an increase in habitat diversity under climate warming. Furthermore, a decrease in productivity and groundwater recharge was simulated under the climate change scenario. The regional impact assessment corroborated the high sensitivity of natural forests in the region to the projected climatic change and it underlined the importance of adaptive management strategies to help forestry to cope with climatic change.