A web-based application to simulate alternatives for sustainable forest management: SIMANFOR

Bravo, Felipe; Rodríguez, Francisca Fuentes; Ordóñez, Cristóbal

doi:10.5424/fs/2112211-01953

Cited by 17 publications

(10 citation statements)

References 2 publications

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“…Field data measurements were updated to year 2011 and 2016, which correspond to each ALS flight, to avoid any temporal lag between ALS-metrics and stand-level variables. The PHRAGON-2017 individual tree model was applied [55] through the forest simulator platform Simanfor [56]. This model enables tree-level distance-independent simulation of the development of Aleppo pine afforestations in Aragón.…”

Section: Inventories Updating and Stand Variable Computationmentioning

confidence: 99%

Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data

et al. 2019

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This study assesses model temporal transferability using airborne laser scanning (ALS) data acquired over two different dates. Seven forest attributes (i.e. stand density, basal area, squared mean diameter, dominant diameter, tree dominant height, timber volume, and total tree biomass) were estimated using an area-based approach in Mediterranean Aleppo pine forests. Low-density ALS data were acquired in 2011 and 2016 while 147 forest inventory plots were measured in 2013, 2014, and 2016. Single-tree growth models were used to generate concomitant field data for 2011 and 2016. A comparison of five selection techniques and five regression methods were performed to regress field observations against ALS metrics. The selection of the best regression models fitted for each stand attribute, and separately for both 2011 and 2016, was performed following an indirect approach. Model performance and temporal transferability were analyzed by extrapolating the best fitted models from 2011 to 2016 and inversely from 2016 to 2011 using the direct approach. Non-parametric support vector machine with radial kernel was the best regression method with average relative % root mean square error differences of 2.13% for 2011 models and 1.58% for 2016 ones.

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Section: Inventories Updating and Stand Variable Computationmentioning

confidence: 99%

Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data

et al. 2019

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“…Simulation tools are essential for sustainable forest management, since they allow foresters to explore different management and silvicultural alternatives. In this context, the SiManFor [30] online platform (www.simanfor.es) has been developed to facilitate simulation of sustainable forest management alternatives at the stand level. SiManFor provides utilities for assessing forest growth models and simulates silvicultural scenarios inherent to forest management.…”

Section: Introductionmentioning

confidence: 99%

Predicting Mushroom Productivity from Long-Term Field-Data Series in Mediterranean Pinus pinaster Ait. Forests in the Context of Climate Change

Herrero

Berraondo²,

Bravo

et al. 2019

Forests

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Long-term field-data series were used to fit a mushroom productivity model. Simulations enabled us to predict the consequences of management and climate scenarios on potential mushroom productivity. Mushrooms play an important ecological and economic role in forest ecosystems. Human interest in collecting mushrooms for self-consumption is also increasing, giving forests added value for providing recreational services. Pinus pinaster Ait. is a western Mediterranean species of great economic and ecological value. Over 7.5% of the total European distribution of the species is found on the Castilian Plateau in central Spain, where a great variety of mushrooms can be harvested. The aim of this study was to model and simulate mushroom productivity in Maritime pine (Pinus pinaster Ait.) ecosystems in northern Spain under different silvicultural and climatic scenarios. A mixed model was fitted that related total mushroom productivity to stand and weather variables. The model was uploaded to the SiManFor platform to study the effect of different silvicultural and climatic scenarios on mushroom productivity. The selected independent variables in the model were the ratio between stand basal area and density as a stand management indicator, along with precipitation and average temperatures for September and November. The simulation results also showed that silviculture had a positive impact on mushroom productivity, which was higher in scenarios with moderate and high thinning intensities. The impact was highly positive in wetter scenarios, though only slightly positive and negative responses were observed in hotter and drier scenarios, respectively. Silviculture had a positive impact on mushroom productivity, especially in wetter scenarios. Precipitation had greater influence than temperature on total mushroom productivity in Maritime pine stands. The results of this paper will enable forest managers to develop optimal management approaches for P. pinaster forests that integrate Non-Wood Forest Products resources.

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“…These advantages have led to the development of a number of web-based applications in forest research. For instance, SIMANFOR is a web-based application that supports different forest growth models to promote sustainable forest management (Bravo et al, 2012), and Rammer et al (2014) developed a web-based toolbox to support forest management. Additionally, EucaTool is used in a web environment to estimate the growth of Eucalyptus globulus plantations (Rojo-Alboreca et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

A Web‐Based Integrated Modeling and Simulation Method for Forest Growth Research

Chen

Zhang

et al. 2019

Earth and Space Science

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To facilitate forest research, simulations of the whole forest growth process can be employed to analyze forest dynamics and predict forest yields. Different forest growth models can be integrated for comprehensive process simulation and thus can assist forest growth research. With the development of network technologies, a web environment can provide cross-platform capability and wide availability for distributed researchers. In order to serve the simulation of complex forest growth processes and help online forest growth research, this article proposes a web-based integrated modeling and simulation method for forest growth research. The proposed method includes three steps, namely, model preparation, model integration, and forest growth simulation. The corresponding implementation strategies are designed to prepare forest growth models, integrate different models, preprocess model data, and implement forest growth simulations for integrated modeling and simulations via the web. Two applications in the comprehensive prediction of forest growth and comparison of different forest management decisions are introduced to verify the feasibility and capability of the proposed method. The results show that the proposed web-based integrated modeling and simulation method can be used conveniently for comprehensive simulations of forest growth research.

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A web-based application to simulate alternatives for sustainable forest management: SIMANFOR

Cited by 17 publications

References 2 publications

Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data

Temporal Transferability of Pine Forest Attributes Modeling Using Low-Density Airborne Laser Scanning Data

Predicting Mushroom Productivity from Long-Term Field-Data Series in Mediterranean Pinus pinaster Ait. Forests in the Context of Climate Change

A Web‐Based Integrated Modeling and Simulation Method for Forest Growth Research

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