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Structure and Composition of Edges in Boreal Forest

Structure and Composition of Edges in Boreal Forest. Qinglin Li. Objectives. To address the spatial and temporal pattern of the edge influence under different models To address the concepts of modeling approaches in edge effects. Methods. Critical values model T-test: Buffering Model

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Structure and Composition of Edges in Boreal Forest

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  1. Structure and Composition of Edges in Boreal Forest Qinglin Li

  2. Objectives • To address the spatial and temporal pattern of the edge influence under different models • To address the concepts of modeling approaches in edge effects

  3. Methods • Critical values model • T-test: • Buffering Model • 60 meters from the edge

  4. Critical Values Model Methods: • Sampling design (0, 5, 10, 20, 40, 60, 100, 150, and 200): 20m x 5m for trees, subplots 2m x 2m for shrub, and three 0.5m x 0.5m for herb • Data collected: Late to June to mid-August • Data analysis: Critical values model

  5. Data table Back>

  6. The Reference Information

  7. The Field Data Input

  8. Outputs:

  9. Results Table 1

  10. Proposing hypotheses • Secondary composition responses start later than primary and secondary structure responses to edge influence, and • DEI for secondary responses extends farther into the interior forest than for primary responses.

  11. Buffering Model • Distance selection • Pre-processing (Modified neighborhood)

  12. 2 3 a c 1 b 4 b 1 a 2 Conceptual Design Illustrating multiple edges effects to patch type 4. (1, 2, 3, and 4 illustrating four distinct patch types. a-c. the area of edge influence of patch type 4 by one neighbor; the dark area represents the area of edge influence of patch type 4 by two or over two neighbors.)

  13. Landsat TM land cover map (2001, Bresee et al. in review) for the study area, Chequamegon National Forest, WI, USA. A subscene with mature hardwood patch and its area of multiple edge influence by neighbor patches (60 meters buffer).

  14. AMEI% AMEI% patches patches RP & JP to AMEI% 2. Regenerating Forest/Shrub (RFS), 3. Mature HardWood (MHW), 6. Mixed Hardwood/Conifer (MHC), 10. Nonforest Bare Ground (NFBG), 12. Jack Pine (JP), 13. Red Pine (RP), 14. Water

  15. AMEI% AMEI% patches patches NFBG & MHC to AMEI% 2. Regenerating Forest/Shrub (RFS), 3. Mature HardWood (MHW), 6. Mixed Hardwood/Conifer (MHC), 10. Nonforest Bare Ground (NFBG), 12. Jack Pine (JP), 13. Red Pine (RP), 14. Water

  16. AMEI% AMEI% patches patches MHW & RFS to AMEI% 2. Regenerating Forest/Shrub (RFS), 3. Mature HardWood (MHW), 6. Mixed Hardwood/Conifer (MHC), 10. Nonforest Bare Ground (NFBG), 12. Jack Pine (JP), 13. Red Pine (RP), 14. Water

  17. Shannon & Shape indices

  18. Conclusions • The buffering model can be used to determine multiple edge influence at landscape level, • The complicity and structure of area of multiple edge influence of one patch type to the neighboring patches vary across the landscape, and • The composition of area of multiple edge influence of patch type can be presented by Shannon diversity index.

  19. Any Questions?

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