Effects of Light and N Availability in Forests on Plant Species Diversity in the Field Layer: A Plant Ecological and Modelling Approach

Elemans, Marjet; Heil, G. W.

doi:10.1007/1-4020-4568-9_6

Cited by 2 publications

(3 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless every model is able to generate at least a few indicators covering one or more sustainability principles (e.g. Pennanen et al, 2007, andHummel et al, 2006, for the forest area and condition; Chertov et al, 2007, andMerganicova et al, 2005, for carbon and nitrogen cycles and water relations; , for production function; Elemans et al, 2007, andKint et al, 2009, for ecological function;Van Deurzen et al, 2007, for protection function;García Quijano et al, 2005, for socioeconomic function).…”

Section: Addressing Trade-offs Between Forest Ecosystem Services Withmentioning

confidence: 99%

Simulation tools for decision support to adaptive forest management in Europe

Muys

Hynynen²,

Palahí

et al. 2010

For. syst.

View full text Add to dashboard Cite

In forest management there is a tendency towards measuring more cost-effective and simulating more. In this context the development of reliable, user friendly forest simulators has become economically relevant. The objective of this perspective paper is to highlight the recent trends in forest simulation and to identify the remaining challenges to make forest simulation a reliable tool for forest policy and management.Experiences with forest simulators for various purposes in different geographical contexts illustrate how the important challenges of forest decision support can be addressed through flexible customization for different end-user categories, offering spatially explicit approaches at the landscape scale, and integrating empirical and mechanistic models in hybrid and bayesian simulation approaches.Recent development trends in forest simulation for decision support are mainly related to the ever increasing calculation speed and capacity of computers, facilitating the development of robust tools with comfortable user interface and realistic functions and options. Another trend is the combination of simulation tools with optimization and choice algorithms fading away the difference between simulators and decision support systems.The remaining challenges are basically in the high expectations of stakeholders concerning the ability of simulators to predict a range of outcomes in terms of ecosystem services and sustainability indicators, as well as the quality of their outcome in terms of output credibility to stakeholders. Need for accepted and realistic model validation and verification methods preferably using empirical data is crucial in this matter.Key words: multi-objective forest planning; forest model; simulator; decision support system; climate change. ResumenHerramientas de simulación para el apoyo de toma de decisiones en la gestión forestal adaptativa en Europa En la planificación de la gestión forestal existe la tendencia a medir menos y similar más. En este contexto, el desarrollo de simuladores forestales es económicamente relevante para el gestor. El objetivo de este artículo es el de discutir y enfatizar tendencias en el ámbito de la simulación forestal e identificar retos importantes para que la simulación forestal sea una herramienta fiable en el proceso decisorio de la planificación forestal y en el de desarrollo de *

show abstract

Section: Addressing Trade-offs Between Forest Ecosystem Services Withmentioning

confidence: 99%

Simulation tools for decision support to adaptive forest management in Europe

Muys

Hynynen²,

Palahí

et al. 2010

For. syst.

View full text Add to dashboard Cite

show abstract

“…Two European DSS with brief mention of the understory are Progetto-Bosco (Ferretti, Dibari, De Meo, Cantiani, & Bianchi, 2011) and AFFOREST-sDSS (Elemans & Heil, 2007;Heil, Muys, & Hansen, 2007).…”

Section: 2mentioning

confidence: 99%

“…AFFOREST-sDSS concentrates on particular forest ecosystem dynamics (carbon sequestration, ground water recharge, nitrate leaching) on reforested land, comparing outcomes to the initial, agricultural condition, rather than dynamics in existing forest. While this DSS mentioned that the diversity of understory vegetation can be provided to users, this has not apparently been enabled (Elemans & Heil, 2007;Heil, Muys, & Hansen, 2007). Progetto-Bosco is a "data driven DSS" (Ferretti, Dibari, De Meo, Cantiani, & Bianchi, 2011) aiming to optimise data collection on Italian forests, including of ground vegetation and is thus more of a database than a DSS per se.…”

Section: 2mentioning

confidence: 99%