A tool for converting forest ecosystem classifications for permanent or temporary growth plots into the new provincial Ecological Land Classification (ELC) system in the boreal regions of Ontario

2012 ◽  
Vol 88 (1) ◽  
pp. 49-59 ◽  
Author(s):  
Bharat Pokharel ◽  
Jeffery P. Dech ◽  
Peter Uhlig
Keyword(s):  
Forest Ecosystem ◽  
Forest Monitoring ◽  
General Interest ◽  
Special Focus ◽  
Moisture Regime ◽  
Land Classification ◽  
Individual Tree ◽  
North West ◽  
Ecological Land Classification ◽  
Conversion Matrix

Forest Ecosystem Classification (FEC) systems were originally developed and used in the Province of Ontario at regional levels with the objective of classifying forest ecosystems to support silvicultural decision-making in an operational setting. A new provincial Ecological Land Classification (ELC) system has been developed, which integrates the regional systems into a single consistent framework. To make continued use of data and knowledge gained from long-term forest monitoring plots classified under the old FEC system, such as Permanent Growth Plots (PGPs), Permanent Sample Plots (PSPs) and Temporary Sample Plots (TSPs), an ecosite conversion from the existing FEC data to the new ELC system was deemed necessary. We developed a conversion matrix to convert FEC ecosite classifications from the northeast and north-west to the provincial ELC system for the boreal forest region of Ontario. The conversion system is intended to apply at the scale of individual plots, with a special focus on PGP, PSP and TSP networks, and has been limited to forested ecosystems, as FEC systems were originally developed for the forest land base only. The conversion is primarily driven by canopy cover composition derived from plot-based individual tree data, with additional information required on substrate characteristics (e.g., substrate type, depth of mineral material, effective soil texture and moisture regime). It is possible to derive some of the soil variables from the broadly defined soil-type (S-type) categories of the original FEC systems; however, this approach requires making some assumptions that could reduce the accuracy of conversion. We anticipate that this conversion matrix will bridge the gap until active plot networks are re-typed in the field into the ELC system, provide a link to historical TSPs, and would be of general interest to a variety of new ELC users.

Wald und Klimawandel in der inneralpinen Trockenregion Visp

2012 ◽  
Vol 163 (12) ◽  
pp. 481-492
Author(s):  
Andreas Rigling ◽  
Ché Elkin ◽  
Matthias Dobbertin ◽  
Britta Eilmann ◽  
Arnaud Giuggiola ◽  
...  
Keyword(s):  
Climate Change ◽  
Ecosystem Services ◽  
Forest Management ◽  
Forest Ecosystem ◽  
Bark Beetles ◽  
Forest Ecosystems ◽  
Field Experiments ◽  
Forest Monitoring ◽  
Management Interventions ◽  
Forest Ecosystem Services

Forest and climate change in the inner-Alpine dry region of Visp Over the past decades, observed increases in temperature have been particularly pronounced in mountain regions. If this trend should continue in the 21st Century, frequency and intensity of droughts will increase, and will pose major challenges for forest management. Under current conditions drought-related tree mortality is already an important factor of forest ecosystems in dry inner-Alpine valleys. Here we assess the sensitivity of forest ecosystems to climate change and evaluate alternative forest management strategies in the Visp region. We integrate data from forest monitoring plots, field experiments and dynamic forests models to evaluate how the forest ecosystem services timber production, protection against natural hazards, carbon storage and biodiver-sity will be impacted. Our results suggest that at dry low elevation sites the drought tolerance of native tree species will be exceeded so that in the longer term a transition to more drought-adapted species should be considered. At medium elevations, drought and insect disturbances as by bark beetles are projected to be important for forest development, while at high elevations forests are projected to expand and grow better. All of the ecosystem services that we considered are projected to be impacted by changing forest conditions, with the specific impacts often being elevation-dependent. In the medium term, forest management that aims to increase the resilience of forests to drought can help maintain forest ecosystem services temporarily. However, our results suggest that relatively rigid management interventions are required to achieve significant effects. By using a combination of environmental monitoring, field experiments and modeling, we are able to gain insight into how forest ecosystem, and the services they provide, will respond to future changes.

scholarly journals Influence of Agisoft Metashape Parameters on UAS Structure from Motion Individual Tree Detection from Canopy Height Models

Forests ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 250
Author(s):  
Wade T. Tinkham ◽  
Neal C. Swayze
Keyword(s):  
Structure From Motion ◽  
Ponderosa Pine ◽  
Point Cloud ◽  
Image Resolution ◽  
Canopy Height ◽  
Computer Hardware ◽  
Forest Monitoring ◽  
Individual Tree ◽  
Ponderosa Pine Forests ◽  
Tree Detection

Applications of unmanned aerial systems for forest monitoring are increasing and drive a need to understand how image processing workflows impact end-user products’ accuracy from tree detection methods. Increasing image overlap and making acquisitions at lower altitudes improve how structure from motion point clouds represents forest canopies. However, only limited testing has evaluated how image resolution and point cloud filtering impact the detection of individual tree locations and heights. We evaluate how Agisoft Metashape’s build dense cloud Quality (image resolution) and depth map filter settings influence tree detection from canopy height models in ponderosa pine forests. Finer resolution imagery with minimal filtering provided the best visual representation of vegetation detail for trees of all sizes. These same settings maximized tree detection F-score at >0.72 for overstory (>7 m tall) and >0.60 for understory trees. Additionally, overstory tree height bias and precision improve as image resolution becomes finer. Overstory and understory tree detection in open-canopy conifer systems might be optimized using the finest resolution imagery that computer hardware enables, while applying minimal point cloud filtering. The extended processing time and data storage demands of high-resolution imagery must be balanced against small reductions in tree detection performance when down-scaling image resolution to allow the processing of greater data extents.

scholarly journals Adjudicating Perspectives on Forest Structure: How Do Airborne, Terrestrial, and Mobile Lidar-Derived Estimates Compare?

2021 ◽  
Vol 13 (12) ◽  
pp. 2297
Author(s):  
Jonathon J. Donager ◽  
Andrew J. Sánchez Meador ◽  
Ryan C. Blackburn
Keyword(s):  
Ponderosa Pine ◽  
Laser Scanning ◽  
Canopy Cover ◽  
Basal Area ◽  
Tree Height ◽  
Absolute Error ◽  
Forest Monitoring ◽  
Individual Tree ◽  
Structural Configurations ◽  
Individual Trees

Applications of lidar in ecosystem conservation and management continue to expand as technology has rapidly evolved. An accounting of relative accuracy and errors among lidar platforms within a range of forest types and structural configurations was needed. Within a ponderosa pine forest in northern Arizona, we compare vegetation attributes at the tree-, plot-, and stand-scales derived from three lidar platforms: fixed-wing airborne (ALS), fixed-location terrestrial (TLS), and hand-held mobile laser scanning (MLS). We present a methodology to segment individual trees from TLS and MLS datasets, incorporating eigen-value and density metrics to locate trees, then assigning point returns to trees using a graph-theory shortest-path approach. Overall, we found MLS consistently provided more accurate structural metrics at the tree- (e.g., mean absolute error for DBH in cm was 4.8, 5.0, and 9.1 for MLS, TLS and ALS, respectively) and plot-scale (e.g., R2 for field observed and lidar-derived basal area, m2 ha−1, was 0.986, 0.974, and 0.851 for MLS, TLS, and ALS, respectively) as compared to ALS and TLS. While TLS data produced estimates similar to MLS, attributes derived from TLS often underpredicted structural values due to occlusion. Additionally, ALS data provided accurate estimates of tree height for larger trees, yet consistently missed and underpredicted small trees (≤35 cm). MLS produced accurate estimates of canopy cover and landscape metrics up to 50 m from plot center. TLS tended to underpredict both canopy cover and patch metrics with constant bias due to occlusion. Taking full advantage of minimal occlusion effects, MLS data consistently provided the best individual tree and plot-based metrics, with ALS providing the best estimates for volume, biomass, and canopy cover. Overall, we found MLS data logistically simple, quickly acquirable, and accurate for small area inventories, assessments, and monitoring activities. We suggest further work exploring the active use of MLS for forest monitoring and inventory.

The Common Denominator of Land Classification in Canada: an Ecological Approach to Mapping

1980 ◽  
Vol 56 (1) ◽  
pp. 19-20 ◽  
Author(s):  
J. S. Rowe
Keyword(s):  
Ecological Approach ◽  
Common Denominator ◽  
Land Classification ◽  
Ecological Land Classification ◽  
Common Basis ◽  
The Common

The cores and boundaries of land units are located by reference to relationships between climate, landform and biota in ecological land classification. This appeal to relationships, rather than to climate, or to geomorphology, or to soils, or to vegetation alone, provides the common basis for land classification.

THE FOREST HABITAT TYPES IN SOUTHEASTERN MANITOBA AND THEIR APPLICATION TO FOREST MANAGEMENT

1964 ◽  
Vol 42 (10) ◽  
pp. 1417-1444 ◽  
Author(s):  
D. Mueller-Dombois
Keyword(s):  
Soil Moisture ◽  
Forest Management ◽  
Sand Dunes ◽  
Land Classification ◽  
Habitat Types ◽  
Forest Habitat ◽  
Regional Environment ◽  
Nutrient Regime ◽  
Ecological Land Classification ◽  
Silvicultural Practices

A forest ecological land classification in southeastern Manitoba resulted in the description of 14 forest habitat types, including three subtypes. These are based on silviculturally significant differences of soil moisture and nutrient regime, which are interpreted through tangible features of the three ecosystem components: vegetation, soil, and landform. The types encompass the regional environment from the driest habitats on sand dunes to the wettest in low moor bogs and from the nutritionally poorest on siliceous sandy podzols to the richest on alluvial bottomlands.The classification is to serve as a basic framework for silvicultural practices in the area. Aspects of application to current forest management are discussed.

scholarly journals ¿Podemos estimar el impacto de las transformaciones del paisaje sobre la ecodiversidad?

FACENA ◽  
2008 ◽  
Vol 21 ◽  
pp. 37
Author(s):  
Juan José Neiff ◽  
Marcelo Rolón ◽  
Sylvina L. Casco
Keyword(s):  
Yerba Mate ◽  
Land Classification ◽  
Ecological Land Classification ◽  
Landsat 7

Se han propuesto distintos criterios para medir la diversidad a nivel local (alfa y beta diversidad) a nivel regional (gama diversidad) y también a nivel del paisaje (ecodiversidad). De todas estas aproximaciones a la complejidad biótica en los ecosistemas, la ecodiversidad permite conocer la disponibilidad y la conectividad entre hábitat y lograr una idea de la variabilidad espacial de los ecosistemas. Se presentan siete índices de ecodiversidad y se discute sus ventajas y desventajas para el análisis de paisajes muy disturbados. Se analizó el paisaje del Establecimiento Las Marías, en el NE de Corrientes, que tiene algo más de 30.000 ha, comprendiendo 12.000 ha de sistemas forestales nativos y cultivados y 18.000 ha. dedicadas a té, yerba mate y policultivos. Se utilizó imágenes Landsat 7 y el procedimiento de Ecological Land Classification (ELC), para identificar las principales unidades de paisaje (bosques, pasturas, cuerpos de agua, diferentes cultivos). Se encontraron tres subsistemas de paisaje diferentes, se obtuvo información del número de polígonos y de la superficie comprendida en cada uso del paisaje y se la comparó cuantitativamente mediante varios índices. Se concluye que una determinada unidad de paisaje puede tener muy diferente diversidad, según el contexto de paisaje en el que se encuentre incluida.

Importance-performance map analysis to enhance the performance of attitude towards mobile wallet adoption among Indian consumer segments

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepak Chawla ◽  
Himanshu Joshi
Keyword(s):  
Technology Acceptance ◽  
Hierarchical Clustering ◽  
Internet Banking ◽  
Perceived Usefulness ◽  
General Interest ◽  
Special Focus ◽  
Content Type ◽  
Performance Map ◽  
And Performance ◽  
Map Analysis

PurposeIndia has the second highest percentage of mobile wallet adoption driven by availability of affordable smartphones and Internet. Despite a general interest, studies on its adoption have been scarce. This research assumes that user segments exist, each with their own level of maturity, and addresses the question “Are there segments which can be profiled?” Thus, the objectives of the study are to propose a model that explains the attitude of user segments towards its adoption; identify probable user segments and profile them; examine the importance and performance of constructs which influence attitude within each cluster and recommend ways to improve performance.Design/methodology/approachThis paper employs the constructs from two popular theories on technology adoption, i.e. technology acceptance model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT). A synthesis of review of literature on these models, besides two focus group discussions (FGDs), was used to design a pilot instrument. A nationwide survey was conducted, and 744 responses were obtained. Convenience sampling was used to select the respondents. The average scores of various constructs were computed and subjected to hierarchical clustering. Further, k-means clustering was carried out. The demographic profiling of each cluster was done through cross-tabulation and differences related to attitude and intention between clusters were tracked by one-way Analysis of Variance (ANOVA). To determine the relative importance and performance of constructs within each cluster, Importance-Performance Map Analysis (IPMA) using Smart Partial Least Squares (PLS) was carried out.FindingsThe hierarchical clustering resulted in three clusters. The result of k-means clustering was used to label the clusters as Technology Enthusiasts (TE), Technology Sceptics (TS) and Technology Pragmatists (TP). The obtained clusters were found to differ in terms of perception, attitude, intention, behavior, marital status, education, occupation and income levels. With respect to each cluster, it was seen that the top three important constructs are Perceived Usefulness (PU), Security (SEC) and Lifestyle Compatibility (LC) as indicated by the IPMA. The findings indicate that mobile wallet providers should focus on all six constructs, with special focus on PU, SEC and LC. The findings of this study will help mobile wallet providers in customizing their offerings to enhance adoption attitude in all three clusters.Research limitations/implicationsThis study examines the perception of students and working professional towards mobile wallet adoption and uses this data for segmentation. However, there could be underlying differences between these two groups, as the motive behind adopting a technology may be different. Thus, treating them as homogenous user segments could be a limitation. Therefore, exploring segments and profiles for each type of user may be an area for future research. Mobile wallet providers should also give utmost importance to perceived usefulness, security and lifestyle compatibility while designing their services. This will not only enhance user trust and compatibility with mobile wallet but also improve the outcomes associated with its usage.Practical implicationsThis study will help mobile wallet providers understand the user segments and customize their service offerings.Originality/valueThis study provides a comparison of the respondent profiles of three obtained segments of mobile wallet users. While prior studies have identified segments associated with adoption of technologies like ATM banking, SMS banking, online banking, Internet banking, mobile banking etc., not much has been reported on mobile wallet adoption. To the best of the authors' knowledge, this is a novel study in India, aimed at identifying user clusters among adopters of mobile wallets and developing cluster profiles based on demographic, attitude and intention.

scholarly journals Individual Tree Position Extraction and Structural Parameter Retrieval Based on Airborne LiDAR Data: Performance Evaluation and Comparison of Four Algorithms

2020 ◽  
Vol 12 (3) ◽  
pp. 571 ◽  
Author(s):  
Chen ◽  
Xiang ◽  
Moriya
Keyword(s):  
Template Matching ◽  
Local Maximum ◽  
Airborne Lidar ◽  
Forest Monitoring ◽  
Lidar Data ◽  
Individual Tree ◽  
Matching Algorithm ◽  
Crown Width ◽  
Individual Trees ◽  
Airborne Lidar Data

Information for individual trees (e.g., position, treetop, height, crown width, and crown edge) is beneficial for forest monitoring and management. Light Detection and Ranging (LiDAR) data have been widely used to retrieve these individual tree parameters from different algorithms, with varying successes. In this study, we used an iterative Triangulated Irregular Network (TIN) algorithm to separate ground and canopy points in airborne LiDAR data, and generated Digital Elevation Models (DEM) by Inverse Distance Weighted (IDW) interpolation, thin spline interpolation, and trend surface interpolation, as well as by using the Kriging algorithm. The height of the point cloud was assigned to a Digital Surface Model (DSM), and a Canopy Height Model (CHM) was acquired. Then, four algorithms (point-cloud-based local maximum algorithm, CHM-based local maximum algorithm, watershed algorithm, and template-matching algorithm) were comparatively used to extract the structural parameters of individual trees. The results indicated that the two local maximum algorithms can effectively detect the treetop; the watershed algorithm can accurately extract individual tree height and determine the tree crown edge; and the template-matching algorithm works well to extract accurate crown width. This study provides a reference for the selection of algorithms in individual tree parameter inversion based on airborne LiDAR data and is of great significance for LiDAR-based forest monitoring and management.

Sign in / Sign up

Export Citation Format

Share Document