| Records |
| Author |
Smoron, S. |
| Title |
Dynamics of the mountain meadow yielding in period of 25 years after fertilization abandonment |
Type |
Report |
| Year |
2013 |
Publication |
Water-Environment-Rural Areas |
Abbreviated Journal |
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| Volume |
132 |
Issue |
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Pages |
111-120 |
| Keywords |
CropM |
| Abstract |
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| Address |
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Thesis |
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Place of Publication |
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Editor |
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| Language |
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Summary Language |
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Original Title |
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| Series Editor |
ITP Falenty |
Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference  |
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| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2073 |
| Permanent link to this record |
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| Author |
Kopacz, M.; Twardy, S. |
| Title |
Water and sewage management in the upper Dunajec river basin compared to the socio-structural transformations and surface water quality |
Type |
Report |
| Year |
2012 |
Publication |
Woda Srodowisko Obszary Wiejskie |
Abbreviated Journal |
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| Volume |
123 |
Issue |
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Pages |
103-122 |
| Keywords |
CropM; LiveM |
| Abstract |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Series Editor |
ITP Falenty |
Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2067 |
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| Author |
Smoron, S. |
| Title |
The risk of surface waters eutrophication in loessial uplands of Malopolska |
Type |
Report |
| Year |
2012 |
Publication |
Woda Srodowisko Obszary Wiejskie |
Abbreviated Journal |
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| Volume |
121 |
Issue |
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Pages |
167-179 |
| Keywords |
CropM |
| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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| Publisher |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Series Editor |
ITP Falenty |
Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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ISBN |
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Medium |
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Expedition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2069 |
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| Author |
Kowalczyk, A.; Twardy, S. |
| Title |
Comparison of the water erosion magnitude estimated by the modified USLE methods |
Type |
Report |
| Year |
2012 |
Publication |
Woda Srodowisko Obszary Wiejskie |
Abbreviated Journal |
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| Volume |
121 |
Issue |
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Pages |
83-92 |
| Keywords |
CropM |
| Abstract |
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| Address |
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| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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| Series Editor |
ITP Falenty |
Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
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ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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| Notes |
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Approved |
no |
| Call Number |
MA @ admin @ |
Serial |
2068 |
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| Author |
Wallach, D.; Thorburn, P.; Asseng, S.; Challinor, A.J.; Ewert, F.; Jones, J.W.; Rötter, R.; Ruane, A. |
| Title |
Overview paper on comprehensive framework for assessment of error and uncertainty in crop model predictions |
Type |
Report |
| Year |
2016 |
Publication |
FACCE MACSUR Reports |
Abbreviated Journal |
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| Volume |
8 |
Issue |
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Pages |
C4.1-D |
| Keywords |
MACSUR_ACK; CropM |
| Abstract |
Crop models are important tools for impact assessment of climate change, as well as for exploring management options under current climate. It is essential to evaluate the uncertainty associated with predictions of these models. Several ways of quantifying prediction uncertainty have been explored in the literature, but there have been no studies of how the different approaches are related to one another, and how they are related to some overall measure of prediction uncertainty. Here we show that all the different approaches can be related to two different viewpoints about the model; either the model is treated as a fixed predictor with some average error, or the model can be treated as a random variable with uncertainty in one or more of model structure, model inputs and model parameters. We discuss the differences, and show how mean squared error of prediction can be estimated in both cases. The results can be used to put uncertainty estimates into a more general framework and to relate different uncertainty estimates to one another and to overall prediction uncertainty. This should lead to a better understanding of crop model prediction uncertainty and the underlying causes of that uncertainty. This study was published as (Wallach et al. 2016) |
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| Notes |
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Approved |
no |
| Call Number |
MA @ office @ |
Serial |
2954 |
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