Der Bodenbedeckungsfaktor ist als Bestandteil der Allgemeinen Bodenabtragsgleichung ein Maß für den Einfluss der erosionsmindernden Wirkung einer Vegetationsbedeckung gegenüber einer Schwarzbrache (C-Faktor = 1). Je niedriger der C-Faktor, desto größer ist die erosionsmindernde Wirkung der Vegetationsbedeckung.
This series refers to datasets related to the potential occurrence of a climate-induced physical event or trend that may cause loss of life, injury, or other health impacts, as well as damage and loss to property, infrastructure, livelihoods, service provision, ecosystems and environmental resources. It includes datasets on flooding, drought, urban heat island and heatwaves, extreme temperatures and precipitations, fire danger as well as climate suitability for vectors of infectious diseases. The datasets are part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/
Bereitstellung von Datenbanken ueber Umweltchemikalien zur gesundheitlichen Bewertung des von Umweltchemikalien ausgehenden Risikos. Fragebogenentwicklung, Aufbau der Codiersystematik, Aspektvorgabe und fachliche Organisation der Fremdprogrammierung und des apparativen Ausbaus. Qualitaetspruefung der Daten ueber Umweltchemikalien.
Background: Ghanas transition forests, neighbouring savannahs and timber plantations in the Ashanti region face a constant degradation due to the increased occurrence of fires. In most cases the fires are deliberately set by rural people for hunting purposes. Main target is a cane rat, here called grasscutter (Thryonomys swinderianus), whose bushmeat is highly esteemed throughout the country. The animal is a wild herbivorous rodent of subhumid areas in Africa south of the Sahara. The grasscutter meat is an important source of animal protein. Existing high-value timber plantations (mainly Teak, Tectona grandis) are affected by fires for hunting purposes. Thus resulting in growth reduction, loss of biomass or even complete destruction of the forest stands. It became obvious that solutions had to be sought for the reduction of the fire risk. Objectives: Since 2004 the Institute for World Forestry of the Federal Research Centre for Forestry and Forest Products, Hamburg, Germany is cooperating with a Ghanaian timber plantation company (DuPaul Wood Treatment Ltd.) the German Foundation for Forest Conservation in Africa (Stiftung Walderhaltung in Afrika) and the Center for International Migration with the purpose to improve the livelihood of the rural population in the surroundings of the forest plantation sites and simultaneously to safeguard and improve the timber plantations. The introduction of grasscutter rearing systems to local farmers accompanied by permanent agricultural and agroforestry practices appeared to be a promising approach for the prevention of fires in the susceptible areas. Additionally a functioning grasscutter breeding system could contribute to the improvement of food security, development of income sources and the alleviation of poverty. The following measures are implemented: - Identification of farmers interested in grasscutter captive breeding, - Implementation of training courses for farmers on grasscutter rearing, - Delivery of breeding animals, - Supervision of rearing conditions by project staff, - Development of a local extension service for monitoring activities, - Evaluation of structures for grasscutter meat marketing. Results: After identification of key persons for animal rearing training courses were successfully passed and animals were delivered subsequently. Further investigations will evaluate the effects of the grasscutter rearing in the project region. This will be assessed through the - Acceptance of grasscutter rearing by farmers, - Success of the animal caging, - Reproduction rate, - Meat quality, - Marketing success of meat, - Reduction of fire in the vicinity of the timber plantations, - Improvement of peoples livelihood.
Research in 'silviculture' and 'forest economics' very often takes place largely independent from each other. While silviculture predominantly focuses on ecological aspects, forest eco-nomics is sometimes very theoretic. The applied bioeconomic models often lack biological realism. Investigating mixed forests this proposal tries to improve bioeconomic modelling and optimisation under uncertainty. The hypothesis is tested whether or not bioeconomic model-ling of interacting tree species and risk integration would implicitly lead to close-to-nature forestry. In a first part, economic consequences of interdependent tree species mixed at the stand level are modelled. This part is based on published literature, an improved model of timber quality and existing data on salvage harvests. A model of survival over age is then to be developed for mixed stands. A second section then builds upon data generated in part one and concentrates on the simultaneous optimisation of species proportions and harvest-ing ages. It starts with a mean-variance optimisation as a reference solution. The obtained results are compared with data from alternative approaches as stochastic dominance, down-side risk and information-gap robustness.
Dieser Web Map Service (WMS) zeigt Daten des Hochwasserrisikomanagement (HWRM)-Karten des 1. Berichtszyklus (2016-2021). Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.
Dieser WFS (Web Feature Service) zeigt Daten des Hochwasserrisikomanagement (HWRM)-Karten des 1. Berichtszyklus (2016-2021). Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.
In Sachsen sind zum Stichtag 22. Dezember 2018 an Fließgewässerabschnitten mit einer Gesamtlänge von 3583 km Gebiete mit signifikantem Hochwasserrisiko bestimmt worden, davon 181 km an der Bundeswasserstraße Elbe, 2054 km an Gewässern I. Ordnung und 1348 km an Gewässern II. Ordnung.
Durch Berechnung des Produktes aus K-, R-, L, S- und C-Faktor (s. dort) wird in Anlehnung an die Allgemeine Bodenabtragsgleichung die Empfindlichkeit des Bodens gegenüber Bodenerosion durch Wasser eingestuft. Die Klasseneinteilung folgt nicht der DIN 19708 (s. weiterführende Erläuterung).
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