Tree diseases, canopy structure, and bird distributions in ponderosa pine forests

被引:1
作者
USDA Forest Service, Fort Collins, CO 80526, United States [1 ]
不详 [2 ]
机构
[1] USDA Forest Service, Fort Collins
[2] Department of Biometrics and Spatial Statistics, Colorado State University, Fort Collins
来源
J. Sustainable For. | 2006年 / 2卷 / 17-45期
关键词
Diversity; Forest health; Insect pests; Pathogens; Spatial models; Sustainability;
D O I
10.1300/J091v23n02_02
中图分类号
学科分类号
摘要
We examined how canopy patterns at the landscape scale can influence bird community composition, abundance, or distribution. Our long-term goal is to determine how diseases and other small-scale disturbances that change canopy patterns influence bird distribution. Little is known about these relationships, partly because most measures of disturbance are based on timber production metrics. We developed a spatially dependent metric referred to as canopy closure roughness, which was significantly correlated to bird diversity on 4 ha sample plots, and used it to generate a spatial model showing the distribution of bird diversity at a resolution of 30mover an area of 1 million acres (the entire Black Hills National Forest). Number of bird species per stand varied between 2 and 16. Number of species and bird diversity were positively related to intensity of tree cutting. Most common bird species were yellow-rumped warbler, dark-eyed junco, Townsend's solitaire, blackcapped chickadee and red-breasted nuthatch. The spatial model of bird diversity showed clusters of high diversity at different locations within the forest. These methods may help lead to better tools for managing the linkages between specific disturbances and bird usage and enable more effective disturbance management by offering a platform for spatial planning. © by The Haworth Press, Inc. All rights reserved.
引用
收藏
页码:17 / 45
页数:28
相关论文
共 54 条
[21]  
Karr J.R., Roth R.R., Vegetation structure and avian diversity of avian communities, Auk, 98, pp. 785-808, (1971)
[22]  
Kravchenko A., Bullock D.G., A comparative study of interpolation methods for mapping soil properties, Agron. J., 91, pp. 393-400, (1999)
[23]  
Legendre P., Fortin M., Spatial pattern and ecological analysis, Vegetatio, 80, pp. 107-138, (1989)
[24]  
Lundquist J.F., Pest interactions and canopy gaps in ponderosa pine in the Black Hills, South Dakota, For. Ecol. Manage., 74, pp. 37-48, (1995)
[25]  
Lundquist J.F., A method of estimating direct and indirect effects of Armillaria root disease and other small-scale forest disturbances on canopy gap size, For. Sci., 46, pp. 356-362, (2000)
[26]  
Lundquist J.E., Negron J.F., Endemic forest disturbances and stand structure of ponderosa pine in the Upper Pine Creek Research Natural Area, South Dakota, USA, Nat. Areas Jnl, 20, pp. 126-132, (2000)
[27]  
Lundquist J.E., Beatty J.S., A method for characterizing and mimicking forest canopy gaps caused by different disturbances, For. Sci., 48, pp. 582-594, (2002)
[28]  
MacArthur R.H., MacArthur J.W., On bird species diversity, Ecol., 42, pp. 594-5981, (1961)
[29]  
McGarigal K., Marks B.J., FRAGSTATS: Spatial pattern analysis program for quantifying landscape structure, (1995)
[30]  
McLaughlin J.F., Roughgarden J., Prediction across spatial scales in heterogeneous environments, Theoret. Pop. Biol., 41, pp. 277-299, (1992)