The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery
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 Hol...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | International Journal of Forestry Research |
| Online Access: | http://dx.doi.org/10.1155/2012/170974 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849473281724252160 |
|---|---|
| author | Xanic J. Rondon Graeme S. Cumming Rosa E. Cossío Jane Southworth |
| author_facet | Xanic J. Rondon Graeme S. Cumming Rosa E. Cossío Jane Southworth |
| author_sort | Xanic J. Rondon |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d39f99c442ec471c8a1dcef083f1c8fa |
| institution | Kabale University |
| issn | 1687-9368 1687-9376 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Forestry Research |
| spelling | doaj-art-d39f99c442ec471c8a1dcef083f1c8fa2025-08-20T03:24:12ZengWileyInternational Journal of Forestry Research1687-93681687-93762012-01-01201210.1155/2012/170974170974The Effects of Selective Logging Behaviors on Forest Fragmentation and RecoveryXanic J. Rondon0Graeme S. Cumming1Rosa E. Cossío2Jane Southworth3Percy FitzPatrick Institute, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, Cape Town 7701, South AfricaPercy FitzPatrick Institute, DST-NRF Centre of Excellence, University of Cape Town, Rondebosch, Cape Town 7701, South AfricaSchool of Natural Resources and Environment, University of Florida, Gainesville, FL 32611, USADepartment of Geography, University of Florida, Gainesville, FL 32611, USATo 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.http://dx.doi.org/10.1155/2012/170974 |
| spellingShingle | Xanic J. Rondon Graeme S. Cumming Rosa E. Cossío Jane Southworth The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery International Journal of Forestry Research |
| title | The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery |
| title_full | The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery |
| title_fullStr | The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery |
| title_full_unstemmed | The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery |
| title_short | The Effects of Selective Logging Behaviors on Forest Fragmentation and Recovery |
| title_sort | effects of selective logging behaviors on forest fragmentation and recovery |
| url | http://dx.doi.org/10.1155/2012/170974 |
| work_keys_str_mv | AT xanicjrondon theeffectsofselectiveloggingbehaviorsonforestfragmentationandrecovery AT graemescumming theeffectsofselectiveloggingbehaviorsonforestfragmentationandrecovery AT rosaecossio theeffectsofselectiveloggingbehaviorsonforestfragmentationandrecovery AT janesouthworth theeffectsofselectiveloggingbehaviorsonforestfragmentationandrecovery AT xanicjrondon effectsofselectiveloggingbehaviorsonforestfragmentationandrecovery AT graemescumming effectsofselectiveloggingbehaviorsonforestfragmentationandrecovery AT rosaecossio effectsofselectiveloggingbehaviorsonforestfragmentationandrecovery AT janesouthworth effectsofselectiveloggingbehaviorsonforestfragmentationandrecovery |