A cover-based method to assess forest characteristics using inventory data and GIS

Forest Ecology and Management

Volumn 298, Issue , 2013, Pages 93-100

  Westfall, James A ^a   Morin, Randall S ^a  

^a Northern Research Station   (United States)

Author keywords

Canopy cover; Canopy gap; Forest health; Forest inventory; Tree crown; Wildlife habitat

Indexed keywords

CANOPY COVER; CANOPY GAPS; FOREST HEALTH; FOREST INVENTORY; TREE CROWNS; WILDLIFE HABITATS;

ANIMALS; ECOSYSTEMS; ESTIMATION;

FORESTRY;

ASSESSMENT METHOD; CANOPY ARCHITECTURE; CANOPY GAP; FOREST COVER; FOREST HEALTH; FOREST INVENTORY; GIS; WILDLIFE MANAGEMENT;

ANIMALS; CROWNS; DATA PROCESSING; ESTIMATION; FOREST CANOPY; GIS; MATHEMATICAL MODELS; WILD LIFE;

EID: 84875801816     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2013.02.036     Document Type: Article

References (35)

1. Abrahamson W.G., Gohn A.C. Classification and successional changes of mixed-oak forests at the Mohn Mill Area, Pennsylvania. Castanea 2004, 69(3):194-206.
2. Agee J.K., Skinner C.N. Basic principles of forest fuel reduction treatments. For. Ecol. Manage. 2005, 211:83-96.
3. Beatty S.W. Influence of microtopography and canopy species on spatial patterns of forest understory plants. Ecol. 1984, 65(5):1406-1419.
4. Bechtold W.A. Crown-diameter prediction models for 87 species of stand-grown trees in the eastern United States. South. J. Appl. For. 2003, 27:269-278.
5. Bechtold, W.A., Patterson, P.L., (Eds.), 2005. The enhanced forest inventory and analysis program - national sampling design and estimation procedures. US For. Serv. Gen. Tech. Rep. SRS-80. 85 p.
6. Bechtold, W.A., Scott, C.T., 2005. The forest inventory and analysis plot design, in: Bechtold, W.A., Patterson, P.L., (Eds.), The enhanced Forest Inventory and Analysis program - national sampling design and estimation procedures. US For. Serv. Gen. Tech. Rep. SRS-80. pp. 37-52.
7. Canham C.D., Denslow J.S., Platt W.J., Runkle J.R., Spies T.A., White P.S. Light regimes beneath closed canopies and tree-fall gaps in temperate and tropical forests. Can. J. For. Res. 1990, 20:620-631.
8. Cochran W.G. Sampling techniques 1977, John Wiley & Sons, New York, 428 p. (third ed.).
9. Coulston J.W., Oswalt S.N., Carraway A.B., Smith W.B. Assessing forestland area based on canopy cover in a semi-arid region: a case study. Forest 2010, 83:143-151.
10. DiGregorio L.M., Krasny M.E., Fahey T.J. Radial growth trends of sugar maple (Acer saccharum) in an Allegheny northern hardwood forest affected by beech bark disease. J. Torrey Bot. Soc. 1999, 126:245-254.
11. Gabbe A.P., Robinson S.K., Brawn J.D. Tree-species preferences of foraging insectivorous birds: implications for floodplain forest restoration. Cons. Biol. 2002, 16:462-470.
12. Gill S.J., Biging G.S., Murphy E.C. Modeling conifer tree crown radius and estimating canopy cover. For. Ecol. Manage. 2000, 126:405-416.
13. Hamel, P.B., 2000. Cerulean warbler (Dendroica cerulea). In: Poole, A., Gill, F., (Eds.), The birds of North America: life histories for the 21st century; no. 511. The Birds of North America, Inc., Philadelphia, PA. pp. 1-20.
14. Homer C., Huang C., Yang L., Wylie B., Coan M. Development of a 2001 national landcover database for the United States. Photo. Eng. Rem. Sens. 2004, 70:829-840.
15. Houston D.R. Major new tree disease epidemics: beech bark disease. Annu. Rev. Phytopathol. 1994, 32:75-87.
16. Houston, D.R., O'Brien, J.T., 1983. Beech bark disease. Forest Insect & Disease Leaflet 75. USDA Forest Service.
17. Jones J., Robertson R.J. Territory and nest-site selection of Cerulean warblers in eastern Ontario. The Auk 2001, 118:727-735.
18. Kenkel N.C., Hoskins J.A., Hoskins W.D. Local competition in a naturally established jack pine stand. Can. J. Bot. 1989, 67:2630-2635.
19. Leckie D., Gougeon F., Hill D., Quinn R., Armstrong L., Shreenan R. Combined high-density lidar and multispectral imagery for individual tree crown analysis. Can. J. Rem. Sens. 2003, 29:633-649.
20. Lowell K.E. An empirical evaluation of spatially based forest inventory samples. Can. J. For. Res. 1997, 27:352-360.
21. Massé A., Côté S.D. Habitat selection of a large herbivore at high density and without predation: trade-off between forage and cover?. J. Mammal. 2009, 90(4):961-970.
22. McGee G.G., Leopold D.J., Nyland R.D. Structural characteristics of old-growth, maturing, and partially-cut northern hardwood stands. Ecol. Appl. 1999, 9:1316-1329.
23. McWilliams, W.H., Alerich, C.A., Butler, B.J., Crocker, S.J., Domke, G.M., Griffith, D., Kurtz, C.M., Lehman, S., Lister, T.W., Morin, R.S., Moser, W.K., Roth, P., Riemann, R., Westfall, J.A., in press. Pennsylvania's Forest 2009. US For. Serv. Resour. Bull. NRS-XXX.
24. Mitchell M.S., Lancia R.A., Gerwin J.A. Using landscape-level data to predict the distribution of birds on a managed forest: effects of scale. Ecol. Appl. 2001, 11(6):1692-1708.
25. Morin R.S., Liebhold A.M., Tobin P.C., Gottschalk K.W., Luzader E. Spread of beech bark disease in the eastern United States and its relationship to regional forest composition. Can. J. For. Res. 2007, 37(4):726-736.
26. Pollet J., Omi P.N. Effect of thinning and prescribed burning on crown fire severity in ponderosa pine forests. Int. J. Wild. Fire 2002, 11:1-10.
27. Radford J.Q., Bennett A.F., Cheers G.J. Landscape-level thresholds of habitat cover for woodland-dependent birds. Biol. Cons. 2005, 124:317-337.
28. Ribe R.G. A general model for understanding the perception of scenic beauty in northern hardwood forests. Landsc. J. 1990, 9:86-101.
29. Rossman A.Y., Samuels G.J. Genera of bionectriaceae, hypocreaceae and nectriaceae (hypocreales, ascomycetes). Stud. Mycol. 1999, 42:158-160.
30. Runkle J.R. Gap regeneration in some old-growth forests of the eastern United States. Ecology 1981, 62:1041-1051.
31. Scott, C.T., Bechtold, W.A., Reams, G.A., Smith, W.D., Westfall, J.A., Hansen, M.H., Moisen, G.G., 2005. Sample-based estimators used by the forest inventory and analysis national information management system, In: Bechtold, W.A., Patterson, P.L., (Eds.), The enhanced Forest Inventory and Analysis program - national sampling design and estimation procedures. US For. Serv. Gen. Tech. Rep. SRS-80. pp. 43-67.
32. Solberg S., Næsset E., Bollandsas O.M. Single tree segmentation using airborne laser scanner data in a structurally heterogeneous spruce forest. Photo. Eng. Rem. Sens. 2006, 72:1369-1378.
33. Stoleson S.H., Sechler F.C. Cerulean warbler. Terrestrial Vertebrates of Pennsylvania: A Complete Guide to Species of Conservation Concern 2010, 153-156. Johns Hopkins University Press, Baltimore, MD. M.A. Steele, M.C. Brittingham, T.J. Maret, J.F. Merritt (Eds.).
34. Thomas J.W., Ruggiero L.F., Mannan R.W., Schoen J.W., Lancia R.A. Management and conservation of old-growth forests in the United States. Wild. Soc. Bull. 1988, 16:252-262.
35. Toney, C., Shaw, J.D., Nelson, M.D., 2009. A stem-map model for predicting tree canopy cover of forest inventory and analysis (FIA) plots, In: McWilliams, W., Moisen, G., Czaplewski, R. (Comps.), 2008 Forest Inventory and Analysis (FIA) Symposium, US For. Serv. Proc. RMRS-P-56CD, 1 CD.