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Klimawandel im Garten. Teil VII: Gestaltet: entsiegeln und pflanzen

Fröhler, L.; Bucher, A. (2022)

Gartenpraxis 08/2022, S. 38-42.

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Besonderheiten des Klimaschutzes im Agrar- und Ernährungssystem – was müssen wir neu denken?

Breunig, P.; Mergenthaler, M. (2022)

Berichte über Landwirtschaft 100 (2), S. 1-50.
DOI: 10.12767/buel.v100i2.425

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Szenarien für den Anbau und die Verwertung von Leguminosen und Körnerraps in Deutschland im Jahr 2030

Bellof, G.; Specht, M.; Hötte, S.; Kleimeier, C.; Lenz, H.; Peters, J.; Richardt, W....

Berichte über Landwirtschaft 100 (2), S. 1-39.
DOI: 10.12767/buel.v100i2.417

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Strukturreiche Wälder. alte Weide- und Teichlandschaften, Hopfenfelder und Sandgruben: Der Feilenforst in Bayern

Moning, C.; König, C.; Weiß, F. (2022)

Der Falke 2022/ 69/ 4 (4), S. 30-35.

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Energie sparen ohne Qualitätsverluste

Born, S.; Haas, H.; Stiele, V.; Hauser, B.; Hannus, T. (2022)

DEGA Gartenbau 2022 (08), S. 20-25.

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Updating and backdating analyses for mitigating uncertainties in land change modeling: a case study of the Ci Kapundung upper water catchment area, Java Island, Indonesia

Rani, M.; Cameron, R.; Schroth, O.; Lange, E. (2022)

International Journal of Geographical Information Science 36 (8).
DOI: 10.1080/13658816.2022.2103820

 

In developing countries, data gaps are common and lead to uncertainties in land cover change analysis. This study demonstrates how to mitigate uncertainties in modeling land change in the Ci Kapundung upper water catchment area by comparing the outcomes of two simulation phases. A conventional cellular automata (CA)–Markov model was complemented with a multilayer perceptron (MLP) to project future land cover maps in the study area. The CA–Markov–MLP model results in high uncertainties in forested sites where a data gap is apparent in the input data (land cover maps and driver variables) and parameters. The results show that the model accuracy is improved from 47.90% in the first phase to 81.36% in the second phase. Both first and second phases integrate six demographic–economic and environmental drivers in the modeling, but the second phase also incorporates an updating and backdating analysis to revise the base-maps. This study suggests that uncertainties can be mitigated by linking such base-map revision process with the updating and backdating analyses using remote sensing datasets retrieved at different times.

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Simplified energy modeling to investigate the effect of lighting strategies on the energy efficiency of container indoor farms

Wittmann, S.; Jüttner, I.; Mempel, H. (2022)

DGG-Proceedings 2021/10, 2, S. 1-7.
DOI: 10.5288/dgg-pr-10-02-sw-2021


Open Access
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Predicting shelf life along horticultural supply chains: Evaluation of applicable quality parameters using near-infrared scanner

Huneck, L.; Kulko, R.; Wittmann, S.; Elser, B.; Mempel, H. (2022)

DGG Proceedings 2021/10, 5, S. 1-8.
DOI: 10.5288/dgg-pr-10-05-lh-2021


Open Access
 

Visible-Near-Infrared Scanners enable a noninvasive prediction of quality properties of fruit and vegetable based on previously created models. A combination of NIR scanners and
machine learning methods can lead to economic improvements and reduction of food waste by strategies like "first expired, first out" and dynamic pricing. In order to identify parameters
capable of showing dynamic postharvest development, three horticultural products with different postharvest behavior (e. g. strawberry, table grape and mango) were chosen for
morphological and statictical analysis. According to the results, a graduation of spectra in correspondence to the day of measurement was noticeable for strawberry regarding the a-
value as well as presumingly mass loss for both mango and table grape. Furthermore, a PLS model for the a-values r2cv = 0.80 was developed for strawberries.

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Baumgrenze verschiebt sich: Wachsen die Alpen zu?

Bayerle, G. (2022)

Medienbeitrag bei BR 24.

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Klimawandel im Wettersteinwald - Wissenschaftliche Analysen in einem Naturwaldreservat

Medienbeitrag, . (2022)

Beitrag des BR vom 16.07.2022.

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Essbare Stauden – nicht nur eine Augenweide.

Hertle, B. (2022)

Tag für den Freizeitgartenbau, Weihenstephan .


Combustion behaviour and slagging tendencies of pure, blended and kaolin additivated biomass pellets from fen paludicultures in two small-scale boilers < 30 kW

Kuptz, D.; Kuchler, C.; Rist, E.; Eickenscheidt, T.; Mack, R.; Schön, C.; Drösler, M....

Biomass and Bioenergy (accepted and in print).


Varieties of Necessity Entrepreneurship – New Insights From Sub Saharan Africa

Weber, C.; Faße, A.; Grote, U.; Haugh, H. (2022)

Entrepreneurship Theory and Practice 2022.
DOI: 10.1177/10422587221111737


Open Access
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UAV-Based Forest Health Monitoring: A Systematic Review

Ecke, S.; Dempewolf, J.; Schwaller, A.; Endres, E.; Klemmt, H.; Tiede, D....

Remote Sensing 2022, 14 (3205), S. 1-45.
DOI: 10.3390/rs14133205


Open Access
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Juli: Beobachten, vorbeugen, bekämpfen

Lohrer, T. (2022)

DEGA GALABAU 76 (7), S. 70-73.


Fauna-Flora-Habitat-Richtlinie und klimainduzierte Waldveränderung - ein Widerspruch?

Ewald, J.; Ssymank, A.; Röhling, M.; Walentowski, H.; Hohnwald, S. (2022)

Natur und Landschaft 97 (7), S. 340-345.
DOI: 10.19217/NuL2022-07-04

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An approximation algorithm for a general class of parametric optimization problems

Bazgan, C.; Herzel, A.; Ruzika, S.; Thielen, C.; Vanderpooten, D. (2022)

Journal of Combinatorial Optimization 43 (5), S. 1328-1358.
DOI: 10.1007/s10878-020-00646-5


Open Access
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Klimawandel im Garten. Teil VI: Kostbar: Wasser und Bewässerung

Fröhler, L.; Bucher, A. (2022)

Gartenpraxis 07/2022, S. 34-38.

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Ausflug ins Fockbeker Moor, Dellstedter Birkwildmoor und Wilde Moor: Moore bei Rendsburg in Schleswig-Holstein

Maier, A.; König, C.; Moning, C.; Weiß, F. (2022)

Der Falke 2022 (7), S. 26-31.

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Heizenergie sparen im Unterglas-Topfpflanzenbau? Das "Weihenstephaner Modell" kann helfen

Born, S.; Haas, H.; Stiele, V.; Hauser, B.; Hannus, T. (2022)

Gartenbau aktuell 2022 (4), S. 14-15.

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