scholarly journals The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Xanic J. Rondon ◽  
Graeme S. Cumming ◽  
Rosa E. Cossío ◽  
Jane Southworth
Keyword(s):  
Forest Fragmentation ◽  
Spatial Patterns ◽  
Management Practices ◽  
Timber Harvesting ◽  
Selective Logging ◽  
Forest Landscape ◽  
Intermediate Scale ◽  
Scale Interactions ◽  
Predator Prey Model ◽  
Forest Resilience

To study the impacts of selective logging behaviors on a forest landscape, we developed an intermediate-scale spatial model to link cross-scale interactions of timber harvesting, a fine-scale human activity, with coarse-scale landscape impacts. We used the Lotka-Volterra predator-prey model with Holling’s functional response II to simulate selective logging, coupled with a cellular automaton model to simulate logger mobility and forest fragmentation. Three logging scenarios were simulated, each varying in timber harvesting preference and logger mobility. We quantified forest resilience by evaluating (1) the spatial patterns of forest fragmentation, (2) the time until the system crossed a threshold into a deforested state, and (3) recovery time. Our simulations showed that logging behaviors involving decisions made about harvesting timber and mobility can lead to different spatial patterns of forest fragmentation. They can, together with forest management practices, significantly delay or accelerate the transition of a forest landscape to a deforested state and its return to a recovered state. Intermediate-scale models emerge as useful tools for understanding cross-scale interactions between human activities and the spatial patterns that are created by anthropogenic land use.

scholarly journals The implications of selective logging and forest fragmentation for the conservation of avian diversity in evergreen forests of south-west Ghana

2005 ◽  
Vol 15 (1) ◽  
pp. 27-52 ◽  
Author(s):  
LARS H. HOLBECH
Keyword(s):  
Forest Fragmentation ◽  
Management Practices ◽  
Selective Logging ◽  
Global Perspective ◽  
Bird Diversity ◽  
Line Transect ◽  
Tropical Forestry ◽  
Regeneration Time ◽  
Conservation Implications ◽  
South West

The urgent global objective of developing sustainable tropical forestry management practices, which also target biodiversity conservation, requires rapid comparative studies that address both biogeography and logging practices. This paper examines avifaunal implications (focusing on species diversity and composition) of forest fragmentation and selective logging, by comparing 15 selected reserved forests in south-west Ghana. The regeneration time since last logging varied from 0 (logging continuing) to 21 years, with one unlogged site as control. Extraction levels ranged between 0.20 and 3.75 trees per ha (mean 0.90). Bird sampling involved understorey mist-netting and standardized line-transect walks, which respectively accumulated 8,348 captures and 22,452 single records of 147 species. Mist-net data showed that understorey bird diversity was positively correlated with logging intensity up to c. 3 trees per ha, reflecting increased influx of open-land species and a persistence of forest obligates during the first 5 years after logging. The overall abundance of forest interior species tended to decrease 5–10 years after logging, but recovered fairly well thereafter. Canopy birds were generally more logging-resilient. Rare forest obligates with high conservation importance were found to be equally abundant in virgin and logged, large forests, whereas these birds were poorly represented in small heavily logged forests. The results are compared with findings from other regions, and conservation implications and constraints are discussed in a global perspective. Finally, recommendations on size-related sustainable extraction levels and regeneration time are presented for the Upper Guinea Forest.

Spatial-Pattern-Induced Evolution of a Self-Replicating Loop Network

2006 ◽  
Vol 12 (4) ◽  
pp. 461-485 ◽  
Author(s):  
Keisuke Suzuki ◽  
Takashi Ikegami
Keyword(s):  
Pattern Formation ◽  
Spatial Pattern ◽  
Spatial Patterns ◽  
Spiral Structure ◽  
Scale Interactions ◽  
Micro Scale ◽  
Macro Scale ◽  
Loop Network ◽  
Spatial Pattern Formation

We study a system of self-replicating loops in which interaction rules between individuals allow competition that leads to the formation of a hypercycle-like network. The main feature of the model is the multiple layers of interaction between loops, which lead to both global spatial patterns and local replication. The network of loops manifests itself as a spiral structure from which new kinds of self-replicating loops emerge at the boundaries between different species. In these regions, larger and more complex self-replicating loops live for longer periods of time, managing to self-replicate in spite of their slower replication. Of particular interest is how micro-scale interactions between replicators lead to macro-scale spatial pattern formation, and how these macro-scale patterns in turn perturb the micro-scale replication dynamics.

scholarly journals The spatial patterns through diffusion-driven instability in a predator–prey model

2012 ◽  
Vol 36 (5) ◽  
pp. 1825-1841 ◽  
Author(s):  
Lakshmi Narayan Guin ◽  
Mainul Haque ◽  
Prashanta Kumar Mandal
Keyword(s):  
Spatial Patterns ◽  
Predator Prey ◽  
Predator Prey Model ◽  
Prey Model ◽  
Through Diffusion

scholarly journals A Novel Approach for Forest Fragmentation Susceptibility Mapping and Assessment: A Case Study from the Indian Himalayan Region

2021 ◽  
Vol 13 (20) ◽  
pp. 4090
Author(s):  
Amit Kumar Batar ◽  
Hideaki Shibata ◽  
Teiji Watanabe
Keyword(s):  
Forest Fragmentation ◽  
Integrated Model ◽  
Himalayan Region ◽  
Geographical Information ◽  
Susceptibility Map ◽  
Forest Landscape ◽  
Indian Himalayan Region ◽  
Proposed Model ◽  
Causative Factors ◽  
The Future

An estimation of where forest fragmentation is likely to occur is critically important for improving the integrity of the forest landscape. We prepare a forest fragmentation susceptibility map for the first time by developing an integrated model and identify its causative factors in the forest landscape. Our proposed model is based upon the synergistic use of the earth observation data, forest fragmentation approach, patch forests, causative factors, and the weight-of-evidence (WOE) method in a Geographical Information System (GIS) platform. We evaluate the applicability of the proposed model in the Indian Himalayan region, a region of rich biodiversity and environmental significance in the Indian subcontinent. To obtain a forest fragmentation susceptibility map, we used patch forests as past evidence of completely degraded forests. Subsequently, we used these patch forests in the WOE method to assign the standardized weight value to each class of causative factors tested by the Variance Inflation Factor (VIF) method. Finally, we prepare a forest fragmentation susceptibility map and classify it into five levels: very low, low, medium, high, and very high and test its validity using 30% randomly selected patch forests. Our study reveals that around 40% of the study area is highly susceptible to forest fragmentation. This study identifies that forest fragmentation is more likely to occur if proximity to built-up areas, roads, agricultural lands, and streams is low, whereas it is less likely to occur in higher altitude zones (more than 2000 m a.s.l.). Additionally, forest fragmentation will likely occur in areas mainly facing south, east, southwest, and southeast directions and on very gentle and gentle slopes (less than 25 degrees). This study identifies Himalayan moist temperate and pine forests as being likely to be most affected by forest fragmentation in the future. The results suggest that the study area would experience more forest fragmentation in the future, meaning loss of forest landscape integrity and rich biodiversity in the Indian Himalayan region. Our integrated model achieved a prediction accuracy of 88.7%, indicating good accuracy of the model. This study will be helpful to minimize forest fragmentation and improve the integrity of the forest landscape by implementing forest restoration and reforestation schemes.

Modeling forest landscape change in the Missouri Ozarks under alternative management practices

2000 ◽  
Vol 27 (1-3) ◽  
pp. 7-24 ◽  
Author(s):  
Stephen R Shifley ◽  
Frank R Thompson ◽  
David R Larsen ◽  
William D Dijak
Keyword(s):  
Landscape Change ◽  
Management Practices ◽  
Forest Landscape ◽  
Alternative Management

Forest fragmentation and forest management: A plea for empirical data

2002 ◽  
Vol 78 (5) ◽  
pp. 686-689 ◽  
Author(s):  
Robert G G. D'Eon
Keyword(s):  
Forest Management ◽  
Forest Fragmentation ◽  
Habitat Loss ◽  
Spatial Patterns ◽  
Empirical Data ◽  
Landscape Scale ◽  
Managed Forests ◽  
Habitat Loss And Fragmentation ◽  
Theoretical Predictions ◽  
Forest Managers

Forest fragmentation is one of the most important conservation issues of recent times. Most of what we know about forest fragmentation is based on speculation and untested theory due to a paucity of empirical data. The lack of empirical data can be attributed to (1) the extreme difficulty in conducting good fragmentation studies, and (2) confusion between habitat loss and fragmentation effects. Empirical data from well-designed fragmentation studies is direly needed to validate theoretical predictions stemming from the fragmentation paradigm. Since the best data will come from landscape-scale experiments in managed forests, partnerships and support from researchers and forest managers is critical in this pursuit. Key words: empirical data, forest fragmentation, landscape spatial patterns

scholarly journals Habitat Selection by the European Nightjar Caprimulgus europaeus in North-Eastern Poland: Implications for Forest Management

Forests ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 291
Author(s):  
Michał Polakowski ◽  
Monika Broniszewska ◽  
Lucyna Kirczuk ◽  
Zbigniew Kasprzykowski
Keyword(s):  
Forest Management ◽  
Habitat Selection ◽  
Management Practices ◽  
Bird Species ◽  
Environmental Parameters ◽  
Timber Harvesting ◽  
Forest Edge ◽  
Negative Effect ◽  
Caprimulgus Europaeus ◽  
Management Recommendations

Research Highlights: Intensive forest management practices generally have a negative effect on biodiversity. However, the creation of new, open habitats as a consequence of timber harvesting within large areas of woodland may be favorable to some bird species. Background and Objectives: Habitat selection of the European Nightjar Caprimulgus europaeus in a coniferous woodland area in northeastern Poland was studied in order to specify management recommendations. Materials and Methods: To define the influence of various environmental parameters on territory occupation, 11 micro- and 3 macrohabitat factors were analyzed. Results: Denser vegetation in the ground layer deterred birds from nesting in clearings with such characteristics. Moreover, Nightjars preferentially inhabited sites adjacent to young stands of trees. Birds preferred plots with a higher number of clearings in the neighborhood, as this enabled them to enlarge their foraging area. Other microhabitat factors (e.g., the type, age and area of clearings), as well as macroscale factors like distances to the forest edge, nearest roads and human settlements, were of no importance. Conclusions: Knowledge of the Nightjar preferences may be useful in working out a compromise between an appropriate level of clear-felling and conservation of other bird species requiring preservation of old tree stands.

Sign in / Sign up

Export Citation Format

Share Document