scholarly journals Local pivotal method sampling design combined with micro stands utilizing airborne laser scanning data in a long term forest management planning setting

Silva Fennica ◽  
2016 ◽  
Vol 50 (2) ◽  
Author(s):  
Rami Saad ◽  
Tomas Lämås ◽  
Jörgen Wallerman ◽  
Johan Holmgren
Keyword(s):  
Forest Management ◽  
Laser Scanning ◽  
Sampling Design ◽  
Airborne Laser Scanning ◽  
Management Planning ◽  
Forest Management Planning ◽  
Airborne Laser

Monitoring changes in forest resource advisory groups’ composition and evaluations of perceptions of public participation effectiveness: a case of Ontario’s Local Citizens Committees

2015 ◽  
Vol 45 (12) ◽  
pp. 1866-1872 ◽  
Author(s):  
Len M. Hunt
Keyword(s):  
Forest Management ◽  
Public Participation ◽  
Advisory Group ◽  
Forest Resource ◽  
Management Planning ◽  
Forest Management Planning ◽  
Group Members ◽  
Long Term Monitoring ◽  
Term Monitoring

Effective public participation is a key part of sustainable forest management on publicly owned lands. However, long-term monitoring data that seek to measure effectiveness of public participation in forest management planning is lacking. Here, measures based on attitudes and satisfaction ratings associated with suspected criteria of public participation effectiveness were developed and applied to forest resource advisory group members from Ontario, Canada. Using data from four social surveys (2001, 2004, 2010, and 2014), advisory group members were, on average, satisfied and held positive attitudes towards the advisory group, their participation in the group, and forest management planning. In many instances, these positive evaluations increased from 2001 to 2014, especially for statements related to fairness. One concern about Local Citizens Committees (LCCs) related to their composition. Advisory group members were male dominated (about 88%) and were increasingly overrepresented by individuals between 50 and 69 years old in 2014 (67%). Given that male and female LCC members held different perceptions of the effectiveness of some public participation criteria, these concerns suggest that composition of LCCs might impair the ability of the groups to consider all viewpoints related to forest management planning. Finally, the research illustrates the importance of designing and collecting long-term monitoring data to understand how evaluations of public participation and composition of participants changes over time.

scholarly journals Large-area inventory of species composition using airborne laser scanning and hyperspectral data

Silva Fennica ◽  
2021 ◽  
Vol 55 (4) ◽  
Author(s):  
Hans Ørka ◽  
Endre Hansen ◽  
Michele Dalponte ◽  
Terje Gobakken ◽  
Erik Næsset
Keyword(s):  
Forest Management ◽  
Species Composition ◽  
Laser Scanning ◽  
Hyperspectral Data ◽  
Airborne Laser Scanning ◽  
Tree Level ◽  
Small Scale ◽  
Large Area ◽  
Airborne Laser ◽  
Species Specific

Tree species composition is an essential attribute in stand-level forest management inventories and remotely sensed data might be useful for its estimation. Previous studies on this topic have had several operational drawbacks, e.g., performance studied at a small scale and at a single tree-level with large fieldwork costs. The current study presents the results from a large-area inventory providing species composition following an operational area-based approach. The study utilizes a combination of airborne laser scanning and hyperspectral data and 97 field sample plots of 250 m collected over 350 km of productive forest in Norway. The results show that, with the availability of hyperspectral data, species-specific volume proportions can be provided in operational forest management inventories with acceptable results in 90% of the cases at the plot level. Dominant species were classified with an overall accuracy of 91% and a kappa-value of 0.73. Species-specific volumes were estimated with relative root mean square differences of 34%, 87%, and 102% for Norway spruce ( (L.) Karst.), Scots pine ( L.), and deciduous species, respectively. A novel tree-based approach for selecting pixels improved the results compared to a traditional approach based on the normalized difference vegetation index.22Picea abiesPinus sylvestris

scholarly journals The Concept of Regulating Forest Management in a Region Subject to High Environmental Pressure

Forests ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 539 ◽  
Author(s):  
Tomasz Borecki ◽  
Łukasz Łopiński ◽  
Wojciech Kędziora ◽  
Michał Orzechowski ◽  
Roman Wójcik ◽  
...  
Keyword(s):  
Forest Management ◽  
Planning Process ◽  
Stand Structure ◽  
Sustainable Use ◽  
Management Planning ◽  
Environmental Pressure ◽  
Forest Management Planning ◽  
Average Value ◽  
Forest Use

In modern forestry, the complexity of the planning process is increasing, specifically in the context of the sustainable use of forest resources and its adaptation to climate changes. This article presents the concept of forest use regulation promoting the sustainable forestry development in forest management planning. A method for defining a synthetic criterion of assessing important features of stand structure was proposed, which would enable the classification of stands in terms of needs and the urgency of their transformation (reconstruction) or suitability for longer standing. As a result, such a concept may ensure the preservation of the relative uniformity of logging use and the improvement of age structure as well as an increase of natural values of the forest, regardless of a stand’s age. The concept was tested on a large forest complex (over 0.5 million hectares) subjected to intense environmental pressure (Silesian Region in Poland). We prepared long-term individualistic development forecasts, separately for area and volume. Based on this, we followed the cutting uniformity principle in the analysed time period by calculating a long-term average of cutting allowance. It was determined by averaging the projected usage size in moving window and eventually was adopted as the cutting upper limit in the whole analysed period. The proposed size of cuts in each period resulted from the relation between the average value and the forecast. Three sets of stands of the differentiated urgency of interventions were distinguished: I—well-stocked and stable stands (no need of intervention)—55% of stands area, II – acceptable stands (not urgent intervention needed)—35% and III—poor stands (urgent intervention needed)—10%. This concept joins top-down and bottom-up approach of cutting uniformity that focuses stand’s status instead of its age or dimensions.

The effects of sample plot selection strategy and the number of sample plots on inoptimality losses in forest management planning based on airborne laser scanning data

2019 ◽  
Vol 49 (9) ◽  
pp. 1135-1146 ◽  
Author(s):  
Roope Ruotsalainen ◽  
Timo Pukkala ◽  
Annika Kangas ◽  
Jari Vauhkonen ◽  
Sakari Tuominen ◽  
...  
Keyword(s):  
Forest Management ◽  
Laser Scanning ◽  
Net Present Value ◽  
Training Data ◽  
Selection Strategy ◽  
Sample Plot ◽  
K Nearest Neighbors ◽  
Management Planning ◽  
Forest Management Planning ◽  
Stand Attributes

In forest management planning, errors in predicted stand attributes might lead to suboptimal decisions that result in decreased net present value (NPV). Forest inventory data will have higher value if the amount of suboptimal decisions can be decreased. Therefore, the value of information can be measured through the decrease in inoptimality losses, which are the NPV differences between the optimal and suboptimal decisions. In this study, four alternative sample plot selection strategies with different numbers of sample plots were compared in terms of expected mean inoptimality losses. Stand-level mean inoptimality losses varied between €41.1·ha–1 and €80.7·ha−1, depending on the sample plot selection strategy and the number of sample plots used as training data in the k-nearest neighbors imputation method. Mean inoptimality losses decreased substantially when the number of sample plots increased from 25 to 100, and the decreasing trend continued until 500 sample plots. Total inoptimality losses can decrease by approximately €1 million in an inventory area of 100 000 ha when the number of sample plots is increased from 100 to 500. The measurement of more sample plots can be justified as long as the field measurement costs do not exceed the decrease in inoptimality losses.

Assessing the utility of airborne laser scanning derived indicators for tropical forest management

2020 ◽  
Vol 82 (4) ◽  
pp. 352-358
Author(s):  
Vitor Antunes Martins da Costa ◽  
Adeliton da Fonseca de Oliveira ◽  
Jhonathan Gomes dos Santos ◽  
Alex Augusto Abreu Bovo ◽  
Danilo Roberti Alves de Almeida ◽  
...  
Keyword(s):  
Forest Management ◽  
Tropical Forest ◽  
Laser Scanning ◽  
Airborne Laser Scanning ◽  
Airborne Laser ◽  
Tropical Forest Management

scholarly journals Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning

Forests ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1724
Author(s):  
Cristiano Rodrigues Reis ◽  
Eric Bastos Gorgens ◽  
Danilo Roberti Alves de Almeida ◽  
Carlos Henrique Souza Celes ◽  
Jacqueline Rosette ◽  
...  
Keyword(s):  
Forest Management ◽  
Tropical Forest ◽  
Laser Scanning ◽  
Sustainable Forest Management ◽  
Point Clouds ◽  
Field Work ◽  
Airborne Laser Scanning ◽  
Operational Planning ◽  
Amazon Forest ◽  
Airborne Laser

(1) Background: Forests throughout the world are managed to fulfil a range of commercial and ecosystem services. The same applies to managed areas of the Amazon forest. We explore a method of sustainable forest management (SFM) which anticipates the result of processes of natural mortality of large, mature trees that could fall and damage their neighbors. Collecting all the information required for planning logging in the Brazilian Amazon is, currently, a hard, time-consuming and expensive task. (2) Methods: This information can be obtained more quickly, accurately and objectively by including airborne laser scanning (ALS) products in the operational plan. We used ALS point clouds to isolate emergent crowns from the canopy height model. Then, we performed field work to validate the existence of these trees, and to understand how many commercial trees (tree diameter ≥ 50 cm) we identified by orienting the trees search through the emergent canopy model. (3) Results: We were able to detect 184 (54.4%) trees from 338 field-recorded individuals in 20 plots (totaling 8 ha). Of the detected trees, 66 individuals were classified as having potential for commerce. Furthermore, 58 individuals presented the best stem quality for logging, which represents more than seven high quality commercial trees per hectare. The logistic regression showed that the effects that positively influence the emergent crown formation are strongly presented in the commercial species. (4) Conclusions: Using airborne laser scanning can improve the SFM planning in a structurally complex, dense and mixed composition tropical forest by reducing field work in the initial stages of management. Therefore, we propose that ALS operational planning can be used to more efficiently direct field surveys without the need for a full census.

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