z-logo
open-access-imgOpen Access
Forstwirtschaft oder die Strategie des a«muddling-through» (Essay)
Author(s) -
Roderich von Detten
Publication year - 2018
Publication title -
schweizerische zeitschrift fur forstwesen
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.189
H-Index - 10
eISSN - 2235-1469
pISSN - 0036-7818
DOI - 10.3188/szf.2018.0189
Subject(s) - sustainability , contrast (vision) , term (time) , accidental , process (computing) , sociology , epistemology , political science , computer science , philosophy , ecology , artificial intelligence , physics , quantum mechanics , acoustics , biology , operating system
Forestry or the strategy of muddling-through (essay) The claim of foresters to steer and manage forests in the long term (“sustainability strategy”) is in striking contrast to the indication that our forests present themselves, in effect, as a multiform conglomerate of planned and unforeseen, expected and accidental features. If one accepts the fact that the future is generally unknown and our images of the future are mere fiction, stemming from experiences and knowledge from the past, a comparative view on forest sciences and practice shows how differently both realms deal with uncertainty regarding the future. In the sciences, working with future models has become an established approach: based upon various suppositions and simplifications, they first and foremost inform about established, basic assumptions and expectations instead of leading to reliable prognoses. In contrast, long-term decision making in practical forest management is informed by the experience that the future will prove “different” and unexpected. Hence, the principle of sustainability cannot be based on a long-term strategy, but is characterized by a permanent process of intelligent muddling-through.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom