Producing wood at least cost to biodiversity: integrating T riad and sharing–sparing approaches to inform forest landscape management

2021 ◽  
Author(s):  
Matthew G. Betts ◽  
Benjamin T. Phalan ◽  
Christopher Wolf ◽  
Susan C. Baker ◽  
Christian Messier ◽  
...  
Keyword(s):  
Landscape Management ◽  
Forest Landscape

PROFILE: Forest Landscape Management Revisited

1999 ◽  
Vol 24 (4) ◽  
pp. 437-448 ◽  
Author(s):  
Emin Zeki Baskent
Keyword(s):  
Landscape Management ◽  
Forest Landscape

Spatial stratification in forest modelling

2000 ◽  
Vol 76 (2) ◽  
pp. 311-317 ◽  
Author(s):  
A. M. M. Nurullah ◽  
Glen A Jordan ◽  
Emin Zeki Baskent
Keyword(s):  
A Priori ◽  
Landscape Management ◽  
Spatial Modelling ◽  
Heuristic Optimization ◽  
Forest Landscape ◽  
Forest Modelling ◽  
Forest Stratification ◽  
Management Objectives ◽  
Spatial Objectives ◽  
Spatial Stratification

This paper discusses the concept of spatial stratification (SS) as applied to forest modelling in general, and spatial forest modelling in particular. SS is a way of providing a geographically explicit forest description in forest modelling, or a way of accommodating spatially explicit management objectives and interventions. In the former, called a priori SS, stands of a forest landscape are spatially aggregated into a set of stand clusters which become input to forest modelling. The latter, called dynamic SS, utilizes stands as the input forest description upon which various spatial aggregations occur throughout forest modelling. Distinctions between the two alternative approaches are highlighted and implementation considerations are examined within the forest landscape management design context. The paper concludes that: (i) modelling techniques are directly linked to forest stratification approaches; and (ii) a priori stratification is seriously limited in spatial modelling for landscape management design where multiple and often conflicting spatial objectives exist. In view of these findings, the paper outlines an alternative spatial forest modelling approach using a combination of dynamic SS and heuristic optimization. Key words: spatial stratification, spatial forest modelling, heuristic optimization, forest management

Natural forest landscape management: A strategy for Canada

1993 ◽  
Vol 69 (2) ◽  
pp. 141-145 ◽  
Author(s):  
D. L. Booth ◽  
D. W. K. Boulter ◽  
D. J. Neave ◽  
A. A. Rotherham ◽  
D. A. Welsh
Keyword(s):  
Forest Management ◽  
Landscape Management ◽  
Natural Forest ◽  
Forest Landscape ◽  
Forest Resource ◽  
Resource Managers ◽  
New Concepts

Our purpose in writing this paper is to stimulate discussion about new concepts and approaches to forest management for Canada. This paper is designed to introduce the concept to Canadian foresters. The authors are working on an expanded technical edition that will deal in more detail with the practical concerns of forest resource managers.

scholarly journals Qualitative Assessment of Forest Ecosystem Services: The Stakeholders’ Point of View in Support of Landscape Planning

Forests ◽  
2018 ◽  
Vol 9 (8) ◽  
pp. 465 ◽  
Author(s):  
Isabella De Meo ◽  
Maria Cantiani ◽  
Fabrizio Ferretti ◽  
Alessandro Paletto
Keyword(s):  
Ecosystem Services ◽  
Social Preferences ◽  
Landscape Planning ◽  
Landscape Management ◽  
Social Needs ◽  
Qualitative Assessment ◽  
Forest Landscape ◽  
Management Planning ◽  
Cultural Services ◽  
Forest Management Planning

In the last decades, the ecosystem services (ES) concept has become one of the main challenges of study and discussion in the scientific community. The quantitative and qualitative assessment of ES is as a tool to address forest management planning on a local scale. Forest landscape management planning is the most suitable level for integrating social needs and demands in the enhancement of different forest ES. Some regions in Italy have developed forest landscape management plans taking into account the social preferences for the different ES. In this paper, we refer to five case studies in three pilot areas in Italy. A survey collected and analyzed the opinions and preferences, from 362 stakeholders, for ten ES included in three categories (provisioning, regulating and cultural services). The main aim of this study is to understand what type of variables (study area, the groups of interest and socio-demographic characteristics of respondents) most influence stakeholder preferences for ES. The results show that for the sample of stakeholders involved in the survey, the most important ES category is regulating services followed by cultural services. In addition, the results show that the group of stakeholders’ interest is the most important variable influencing their preferences for ES.

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