831 resultados para Landscape domestication


Relevância:

20.00% 20.00%

Publicador:

Resumo:

Swiss National Research Programs (NRPs) are usually geared to addressing issues of major societal concern. In so doing these programs produce different kinds of knowledge: analytical knowledge necessary for revealing the driving forces, conflicting interests and institutional settings that govern the processes under scrutiny; target knowledge oriented towards revealing the directions in which the processes should be guided; and action knowledge that informs about the means by which this can best be achieved. Analytical knowledge answers the questions “what is the problem?” and “what causes it?” while target knowledge helps to define “what is our vision for the future?” and action knowledge deals with “how can we solve the problem?” Production of these 3 different types of knowledge is usually linked in an iterative process in the course of the research supported in an NRP.

Relevância:

20.00% 20.00%

Publicador:

Resumo:

A key challenge for land change science in general and research on swidden agriculture in particular, is linking land cover information to human–environment interactions over larger spatial areas. In Lao PDR, a country facing rapid and multi-level land change processes, this hinders informed policy- and decision-making. Crucial information on land use types and people involved is still lacking. This article proposes an alternative approach for the description of landscape mosaics. Instead of analyzing local land use combinations, we studied land cover mosaics at a meso-level of spatial scale and interpreted these in terms of human–environmental interactions. These landscape mosaics were then overlaid with population census data. Results showed that swidden agricultural landscapes, involving 17% of the population, dominate 29% of the country, while permanent agricultural landscapes involve 74% of the population in 29% of the territory. Forests still form an important component of these landscape mosaics.