TreeMig: A forest-landscape model for simulating spatio-temporal patterns from stand to landscape scale

Lischke, Heike; Zimmermann, Niklaus E.; Bolliger, Janine; Rickebusch, Sophie; Löffler, Thomas J.

doi:10.1016/j.ecolmodel.2005.11.046

Cited by 185 publications

(184 citation statements)

References 34 publications

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“…In the case study region Valais, field studies and drought experiments investigated the germination, growth, and mortality of different tree species (Brunner et al 2009, Eilmann et al 2009, Dobbertin et al 2010, Eilmann and Rigling 2012, Rigling et al 2013). These experimental findings were used to improve existing mechanistic models (Schumacher et al 2004, Lischke et al 2006, Gillet 2008 in the corresponding area. Thus, interdisciplinary findings from natural scientists could be modeled and upscaled to the regional level to quantify changes in the EGS in a spatially explicit manner (Elkin et al 2012).…”

Section: Interdisciplinary Workflowmentioning

confidence: 99%

Sustainable Land-use Practices in European Mountain Regions under Global Change: an Integrated Research Approach

Huber¹,

Bugmann²,

Buttler³

et al. 2013

E&S

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ABSTRACT. This Special Feature on sustainable land-use practices in European mountain regions presents results from the inter-and transdisciplinary research project MOUNTLAND. The goal was to investigate the sensitivity of the provision of ecosystem services to both climatic and land-use changes and to suggest alternative policies and governance structures for mitigating the impact of such changes and enhancing sustainable management practices in mountain regions. The individual articles provide: (1) new scientific findings regarding the impacts of climate and land-use changes on ecosystem processes in three sensitive mountain regions of Switzerland; (2) an assessment of the feedback effects arising from changing socioeconomic and political conditions, land use, and adaptation to climate change, using modeling techniques and transdisciplinary stakeholder interactions; and (3) suggestions for alternative policy solutions to ensure sustainable land use in mountain regions. In our synthesis of the project, we provide insights from the ecological, socioeconomic, and political sciences in the context of humanenvironment interactions in mountain regions. The innovation of this Special Feature lies in the fact that all articles present truly inter-or transdisciplinary research, ranging from natural sciences to economics and political sciences, based on an overarching set of unifying research questions.

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Section: Interdisciplinary Workflowmentioning

confidence: 99%

Sustainable Land-use Practices in European Mountain Regions under Global Change: an Integrated Research Approach

Huber¹,

Bugmann²,

Buttler³

et al. 2013

E&S

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show abstract

“…Various types of process-based models are used and under development, such as gap models (Pacala et al, 1993;Bugmann, 2001), landscape models (Lischke et al, 2006;Scheller & Mladenoff, 2007), fitness-based models (Chuine & Beaubien, 2001), or sophisticated 'hybrid' dynamic vegetation models (e.g., Sitch et al, 2008), which focus on achieving a balance between realism, accuracy and complexity. The suite of available models represents a range from very detailed species-specific models which describe stand structure and hourly plant physiological processes (i.e.…”

Section: Introductionmentioning

confidence: 99%

Predicting the future of forests in the Mediterranean under climate change, with niche- and process-based models: CO2 matters!

Keenan

Serra

Lloret

et al. 2010

Global Change Biology

205

170

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Assessing the potential future of current forest stands is a key to design conservation strategies and understanding potential future impacts to ecosystem service supplies. This is particularly true in the Mediterranean basin, where important future climatic changes are expected. Here, we assess and compare two commonly used modeling approaches (niche-and process-based models) to project the future of current stands of three forest species with contrasting distributions, using regionalized climate for continental Spain. Results highlight variability in model ability to estimate current distributions, and the inherent large uncertainty involved in making projections into the future. CO 2 fertilization through projected increased atmospheric CO 2 concentrations is shown to increase forest productivity in the mechanistic process-based model (despite increased drought stress) by up to three times that of the non-CO 2 fertilization scenario by the period 2050-2080, which is in stark contrast to projections of reduced habitat suitability from the niche-based models by the same period. This highlights the importance of introducing aspects of plant biogeochemistry into current niche-based models for a realistic projection of future species distributions. We conclude that the future of current Mediterranean forest stands is highly uncertain and suggest that a new synergy between niche-and process-based models is urgently needed in order to improve our predictive ability.

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“…In simulation of the Alps, the TreeMig model compared the spatial-temporal change in the forest stand scale and landscape scale. The result showed that the biomass of certain species has a high rate change in a small-scale landscape pattern, while environmental elements became the major factors to drive landscape pattern change in a large-scale landscape (Lischke et al, 2006). This study was significant in the study of model scale test.…”

Section: Research For Forest Landscape Patternmentioning

confidence: 77%

“…Furthermore, the most basic development target of FLM is researching the landscape scale and function in multiple spatial and temporal scales. Therefore, to meet the research and management demands in different areas, the space suitability is necessary to be improved, such as TreeMig model (Lischke et al, 2006). Meanwhile, we should pay more attention to research on the data mining and analysis of the simulation result, including data analysis tools, data management methods, and visualization technology.…”

Section: Progress and Prospect Of Research On Flmmentioning

confidence: 99%

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Progress and prospect of research on forest landscape model

Dai

Wang

et al. 2014

J. Geogr. Sci.

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Abstract:The Forest Landscape Model (FLM) is an efficiency tool of quantified expression of forest ecosystem's structure and function. This paper, on the basis of identifying FLM, according to the stage of development, summarizes the development characteristics of the model, which includes the theoretical foundation of mathematical model, FLM of stand-scale, primary development of spatial landscape model, rapid development of ecosystem process model as the priority, and developing period of structure and process driven by multi-factor. According to the characteristics of different FLMs, this paper classifies the existing FLM in terms of mechanism, property and application, and elaborates the identifications, advantages and disadvantages of different types of models. It summarizes and evaluates the main application fields of existing models from two aspects which are the changes of spatial pattern and ecological process. Eventually, this paper presents FLM's challenges and directions of development in the future, including: (1) more prominent service on the practical strategy of forest management's objectives; (2) construction of multi-modules and multi-plugin to satisfy landscape research demand in various conditions; (3) adoption of high resolution's spatial-temporal data; (4) structural construction of multi-version module; (5) improving the spatial suitability of model application.

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TreeMig: A forest-landscape model for simulating spatio-temporal patterns from stand to landscape scale

Cited by 185 publications

References 34 publications

Sustainable Land-use Practices in European Mountain Regions under Global Change: an Integrated Research Approach

Sustainable Land-use Practices in European Mountain Regions under Global Change: an Integrated Research Approach

Predicting the future of forests in the Mediterranean under climate change, with niche- and process-based models: CO2 matters!

Progress and prospect of research on forest landscape model

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