Article
Forestry
Heng Wu, Hui Xu, Xianglin Tian, Wangfei Zhang, Chi Lu
Summary: The aim of this study was to estimate forest volume efficiently and accurately by sampling and analyzing existing forest survey data. Spatial statistics tools in ArcGIS software were used to analyze spatial autocorrelations and create third-stage samples based on spatial distribution pattern information. Evaluation indexes such as sampling ratio, accuracy, workload, and costs were applied. The results showed that spatial stratified sampling in the third stage significantly reduced the sampling ratio while maintaining a high level of accuracy and meeting the requirements of annual surveys.
Article
Forestry
Andrew J. Lister, Laura P. Leites
Summary: The study reveals that the spatial pattern of forests significantly affects sampling efficiency, and different pattern configurations have varying impacts at different scales. In more uniform landscapes, changes in cluster plot configurations are more important for CV; whereas in stand with aggregated patterns, altering plot configurations has a stronger impact on CV.
CANADIAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Forestry
Jonne Pohjankukka, Sakari Tuominen, Jukka Heikkonen
Summary: In large-area forest inventories, a trade-off is necessary between the amount of data to be sampled and the collection costs. This study proposes a model-based data sampling method that utilizes remote sensing data to guide forest inventory sample selection. The method shows improvement in population mean and variance estimation compared to baseline methods.
Article
Forestry
Andrew J. Lister, Laura P. Leites
Summary: This study examines the tradeoffs between increasing sample size and modifying cluster plot design factors for improving forest inventory precision. The findings suggest that the type and scale of spatial heterogeneity have significant implications for plot design choices, with homogeneous stands and landscapes being the least costly to inventory. Subplot area and count have a greater impact on cost efficiency than subplot separation, especially in landscapes with aggregated forest patterns and stands with homogeneous tree patterns.
CANADIAN JOURNAL OF FOREST RESEARCH
(2022)
Article
Environmental Sciences
Henrik J. Persson, Kenneth Olofsson, Johan Holmgren
Summary: This study compared a two-phase laser-scanning method with traditional field inventory for forest stands in Sweden, showing that laser-scanning provided significantly higher accuracy and efficiency in measuring tree height, classifying tree species, and estimating forest variables. The results demonstrated the potential for laser-scanning to replace manual field inventories in the future.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Forestry
Luiz Otavio Rodrigues Pinto, Cleber Rodrigo de Souza, Marcela de Castro Nunes Santos Terra, Jose Marcio de Mello, Natalino Calegario, Fausto Weimar Arcebi Junior
Summary: Obtaining high-quality information on vegetation attributes linked to ecosystem services in tropical forests is crucial for conservation planning. Defining the optimum vegetation sample plots size is an important step in obtaining this information.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Environmental Sciences
Cesar Perez-Cruzado, Christoph Kleinn, Paul Magdon, Juan Gabriel Alvarez-Gonzalez, Steen Magnussen, Lutz Fehrmann, Nils Noelke
Summary: Forest biomass is a key variable in forest monitoring, and this study focused on deriving an empirical model of branch horizontal distribution (HBD) for individual European beech trees. Destructive measurements and Terrestrial Laser Scanning (TLS) were used to validate the models, showing similarities between HBD and taper functions commonly applied in forestry. The models may serve as useful approximations for HBD of individual trees across different sizes and species.
Article
Plant Sciences
Peter B. Boucher, Ian Paynter, David A. Orwig, Ilan Valencius, Crystal Schaaf
Summary: The research evaluated the impact of occlusion on TLS scans and compared different stem sets, finding that occlusion from non-stem sources was the major influence on TLS line of sight. It was also discovered that transect and point TLS samples demonstrated better representativeness of some stem properties. Deriving sampled area from TLS scans improved estimates of stem density.
Article
Environmental Sciences
Abraham Deka
Summary: This research aims to compare the differences in environmental impact of energy efficiency, forest resources, and renewable energy between low-emitter and high-emitter sub-Saharan African nations, and provide policy recommendations accordingly.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Biodiversity Conservation
Tristan R. H. Goodbody, Nicholas C. Coops, Cornelius Senf, Rupert Seidl
Summary: Effective forest stewardship relies on comprehensive field-inventories. This study explores the benefits of incorporating airborne laser scanning (ALS) data as an auxiliary dataset in forest inventory campaigns. The research evaluates sampling approaches and methods to allocate new field plots, demonstrating the value of ALS in improving data availability and sampling efficiency.
ECOLOGICAL INDICATORS
(2023)
Article
Forestry
Isabel Aullo-Maestro, Cristina Gomez, Eva Marino, Miguel Cabrera, Antonio Vazquez De la Cueva, Fernando Montes
Summary: The study compared universal kriging with the area-based approach for estimating forest inventory variables using LiDAR data, finding that universal kriging performed better in the presence of spatial autocorrelation.
ANNALS OF FOREST SCIENCE
(2021)
Article
Plant Sciences
Christopher E. Looney, Wilfred J. Previant, Linda M. Nagel
Summary: Positive mixture effects were found in Douglas-fir in mixed-conifer forests of the U.S. Interior West, but the extent of this effect to stand level was equivocal. In contrast, no evidence of mixture effects was found for Ponderosa pine, White fir or their neighboring species. Limited functional diversity and historical changes in stand structure may limit the potential for species mixture effects in these forests.
JOURNAL OF ECOLOGY
(2021)
Article
Environmental Sciences
Kristian Skau Bjerreskov, Thomas Nord-Larsen, Rasmus Fensholt
Summary: This study successfully classified the Danish landscape into forest/non-forest and further into forest types and species using a cloud-based approach with multi-temporal Sentinel 1 and 2 data, achieving high producer accuracies for non-forest, forest types (broadleaf and conifer), and moderate accuracies for tree species groups. The results have applications in Danish national accounting of greenhouse gas emissions from forests, resource assessment, and assessment of forest biodiversity potentials.
Article
Forestry
Emilia Wysocka-Fijorek, Ewelina Dobrowolska, Piotr Budniak, Krzysztof Korzeniewski, Damian Czubak
Summary: Various methods for estimating and projecting forest resources have been developed and used by countries with important forest sectors. The latest regulations require EU members to report and publish national accounting plans estimating emissions and removals from managed forest areas. This study compares the adaptation of two accounting frameworks, the CBM-CFS3 and EFDM, in Poland to facilitate forest management decision-making and the preparation of forest policies.
Article
Chemistry, Multidisciplinary
Yayu Ma, Zhaoyong Mao, Kehan Zhang
Summary: This article focuses on the optimization of the key indicators PTE and TP in the wireless power transfer system. The Thompson sampling efficient multi-objective optimization algorithm is used to simultaneously optimize PTE and TP in the S-S compensation topology. The coils are optimized through the co-calculation of MATLAB and COMSOL, and oversized coils are deleted to meet the constrained area. The results show that this design strategy can achieve better TP at the expense of lower PTE, improving the overall performance of the system.
APPLIED SCIENCES-BASEL
(2022)
Article
Agronomy
Ari Nikula, Juho Matala, Ville Hallikainen, Jyrki Pusenius, Antti Ihalainen, Tuomas Kukko, Kari T. Korhonen
Summary: This study modeled the effect of moose population density and forest resources on the area of moose damage at a regional scale, using data from Finnish National Forest Inventory. The results showed that the area of moose damage was best explained by total forest area, proportions of plantations and mature forests, and moose population density per land area or the proportion of plantations. Differences among biogeographical zones were observed in how different variables explained the amount of damage. This information can be used to reconcile sustainable moose population levels and the amount of damage.
PEST MANAGEMENT SCIENCE
(2021)
Article
Forestry
Soili Haikarainen, Saija Huuskonen, Anssi Ahtikoski, Mika Lehtonen, Hannu Salminen, Jouni Siipilehto, Kari T. Korhonen, Jari Hynynen, Johanna Routa
Summary: The study analyzed the regional effects of juvenile stand management on wood production and profitability of forest management, finding that timely management was the most profitable option. Delaying or neglecting management led to significant losses, especially on fertile sites with high growth rates. Therefore, timely management should be prioritized on fertile sites.
Article
Forestry
Anna Repo, Tuomas Rajala, Helena M. Henttonen, Aleksi Lehtonen, Mikko Peltoniemi, Juha Heikkinen
Summary: The study highlights the importance of understanding the differences in biomass accumulation rates in different types of boreal forests under varying environmental conditions, such as on peatlands and mineral soils. The developed models can have practical implications for activities such as life-cycle assessments, carbon mapping, and predicting biomass stock development.
FOREST ECOLOGY AND MANAGEMENT
(2021)
Article
Forestry
Markus Lier, Michael Koehl, Kari T. Korhonen, Stefanie Linser, Kit Prins, Andrzej Talarczyk
Summary: This study compares the differences between the pan-European set of indicators for sustainable forest management and the New EU Forest Strategy for 2030 through content analysis. The results show that while most objectives and commitments can be monitored using the existing indicator set, new indicators are needed to meet the Strategy's requirements. Additionally, there are some differences between the comprehensive vision of sustainable forest management in the indicator set and the scope of the objectives and commitments in the Strategy.
Article
Ecology
Miisa Virta, Otso Huitu, Juha Heikkinen, Katja Holmala, Pikka Jokelainen
Summary: The population of Eurasian lynx in Finland has significantly increased since 1962, and this provides a unique opportunity to study the impact of population size on parasite prevalence and abundance. The study found that Toxocara cati is a common and abundant parasite in Eurasian lynx, regardless of population size and density.
INTERNATIONAL JOURNAL FOR PARASITOLOGY-PARASITES AND WILDLIFE
(2022)
Article
Multidisciplinary Sciences
Minna Raty, Mikko Kuronen
Summary: Scenario tools are widely used in policymaking and strategic planning. The European Forestry Dynamics Model (EFDM) is a matrix model that can simulate future forest resources with various factors and convert the results into user-defined outputs.
Article
Forestry
Annika Kangas, Timo P. Pitkanen, Lauri Mehtatalo, Juha Heikkinen
Summary: The volume models used in Finland for the last four decades exhibit illogical behavior for small trees. In recent studies, changes in tree stem form over time and space have been observed, potentially influenced by environmental factors. This research aims to develop new models for volume and taper curves to examine the effects of management and environmental factors, and improve the understanding of stem form changes. The results indicate spatial trends in stem form and significant changes in Lapland, particularly in the lowest part of the stem of large pines.
Article
Environmental Sciences
Ronald E. McRoberts, Erik Naesset, Juha Heikkinen, Qi Chen, Victor Strimbu, Jessica Esteban, Zhengyang Hou, Francesca Giannetti, Jahangir Mohammadi, Gherardo Chirici
Summary: The model-assisted difference and regression estimators are widely used in forest inventory and remotely sensed data to improve the accuracy of inventory parameter estimates. However, there is inconsistency in the definition of associated terminology and the use of notation. This study aims to establish consistent and operationally useful definitions, bridge the notation gap, and evaluate the impact of sample size, model form, and g-weights on the unbiasedness of regression estimators.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Forestry
Ana Aza, Annika Kangas, A. Maarit Kallio
Summary: In Norway, converting rot-infested spruce stands to pine may be more economically beneficial. Pixel-level information on rot levels and site indexes is crucial for identifying optimal planting strategies and increasing the economic return of the stand. Using the Value of Information concept, the highest value of information is found for stands with medium-low dominant site indexes.
Article
Forestry
Aleksi Lehtonen, Kersti Leppa, Katja T. Rinne-Garmston, Elina Sahlstedt, Pauliina Schiestl-Aalto, Juha Heikkinen, Giles H. F. Young, Mika Korkiakoski, Mikko Peltoniemi, Sakari Sarkkola, Annalea Lohila, Raisa Makipaa
Summary: Continuous cover forestry (CCF) is considered as an eco-friendly choice for drained peatlands. However, CCF management faces challenges in tree growth, especially in suppressed trees after selection harvesting. This study aimed to quantify the delayed stem diameter growth response in suppressed Norway spruce trees compared to dominant ones after selection harvesting, and to examine the immediate effect of harvesting on carbon assimilation. The results showed that the suppressed trees experienced a delayed growth response, while carbon uptake increased immediately after selection harvesting.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Biodiversity Conservation
Julien Barrere, Bjoern Reineking, Thomas Cordonnier, Niko Kulha, Juha Honkaniemi, Mikko Peltoniemi, Kari T. Korhonen, Paloma Ruiz-Benito, Miguel A. Zavala, Georges Kunstler
Summary: With climate change, natural disturbances such as storms or fires reshuffle, causing pervasive shifts in forest dynamics. To predict the impact of these disturbances on forest structure and composition, understanding the sensitivity of tree species is crucial. This study investigated how functional traits and mean climate of species affect their sensitivity to disturbances, while controlling for size and structure. Using data from National Forest Inventories in France, Spain, and Finland, we found that different traits controlled species sensitivity to disturbances and that species from warmer and drier climates were more resistant to fire. These findings can aid in predicting the effects of climate change and disturbances on forest ecosystems.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Environmental Sciences
Adriano Mazziotta, Paulo Borges, Annika Kangas, Panu Halme, Kyle Eyvindson
Summary: Economically-oriented forestry aims to sustain timber harvest revenues, while ecologically-oriented management supplies suitable habitat for deadwood-dependent species. Planning for economic and ecological sustainability involves compromise and trade-offs. This study analyzes the spatial trade-offs between economic value from timber harvesting and volume of deadwood in boreal forests, considering landscape characteristics, forest management, and uncertainty in inventory errors.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Plant Sciences
Niko Kulha, Juha Honkaniemi, Julien Barrere, Susanne Brandl, Thomas Cordonnier, Kari T. Korhonen, Georges Kunstler, Carola Paul, Bjoern Reineking, Mikko Peltoniemi
Summary: Forest stand densities are increasing, indicating intensified tree-tree competition. The consequences of this competition are difficult to predict due to various factors such as extreme climatic events and stand composition. Understanding the effects of stand composition and drought on competition-induced mortality is important for anticipating changes in forest ecosystems.
JOURNAL OF ECOLOGY
(2023)
Article
Forestry
Jaakko Repola, Jari Lindblad, Juha Heikkinen
Summary: In this study, predictive regression models were developed for green density of different pulpwood assortments, with the models accurately reproducing seasonal variations. The models were found to be more reliable than current practices in predicting green density.
Article
Psychology, Biological
Anna-Kaisa Ylitalo, Juha Heikkinen, Ilpo Kojola
Summary: The study analyzed the foraging behavior of wolves in the boreal zone in Finland during the pup-rearing season, using hidden Markov models to divide the movement tracks into different behavioral modes. The results showed that the movement speed was fastest and most persistent during homing for most individuals.
Article
Forestry
A. Q. Nyrud, K. M. A. Heltorp, Anders Roos, Francisco X. Aguilar, Katja Lahtinen, Noora Viholainen, Sami Berghall, Anne Toppinen, B. J. Thorsen, Matleena Kniivila, Antti Haapala, Elias Hurmekoski, T. Hujala, H. F. Hoen
Summary: This study investigated public attitudes towards multi-storey wood buildings in seven European countries and found that the level of knowledge about wood buildings was lower in countries where brick, stone, and concrete were commonly used in construction, such as the United Kingdom, Germany, and Denmark. Finland and Sweden had the most positive attitudes towards wood buildings. The study also identified factors such as fire vulnerability, material solidity, indoor environment, and moisture vulnerability that influenced people's perception of wood buildings as a nice place to live.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2024)
