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Jan Nyssen

Researcher at Ghent University

Publications -  478
Citations -  15320

Jan Nyssen is an academic researcher from Ghent University. The author has contributed to research in topics: Surface runoff & Soil conservation. The author has an hindex of 62, co-authored 454 publications receiving 12931 citations. Previous affiliations of Jan Nyssen include The Catholic University of America & Katholieke Universiteit Leuven.

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Human impact on the environment in the Ethiopian and Eritrean highlands—a state of the art

TL;DR: In this paper, an analysis of the environmental evolution of the Ethiopian highlands in the late Quaternary is presented, showing that the most important present-day geomorphic processes are sheet and rill erosion throughout the country, gullying in the highlands, and wind erosion in the Rift Valley and the peripheral lowlands.
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Effectiveness of exclosures to restore degraded soils as a result of overgrazing in Tigray, Ethiopia

TL;DR: In this article, the impact of exclosures on soil properties, and relate the age of ex-closures to their effectiveness in improving soil chemical and physical properties was investigated.
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Household livelihood strategies and forest dependence in the highlands of Tigray, Northern Ethiopia

TL;DR: In this paper, the authors identify the factors that condition a household's livelihood strategy choice with a particular focus on forest products and run multinomial logit regression on asset-based explanatory variables to identify the main factors that determine households' livelihood strategy choices and forest dependence.
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Rainfall erosivity and variability in the Northern Ethiopian Highlands

TL;DR: In this article, the spatial variation of rain in a 80 km2 mountain area (2100-2800 m a.s.) in the Northern Tigray region, and how this variation is influenced by topography, geographical position and lithology, were analyzed.
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Comprehensive assessment of soil erosion risk for better land use planning in river basins : case study of the Upper Blue Nile River

TL;DR: The methodological framework identified the potential risk for soil erosion in large-scale zones, and with a more sophisticated model and input data of higher spatial and temporal resolution, results could be specified locally within these risk zones.