7.10 References
7.10 References
Allen, T. H. F.; Hoekstra, T. W. 1992. The integration
of ecological studies---comment. Funct. Eco/. 6:118119.
Aspinall, R.; Veitch, N. 1993. Habitat mapping from
satellite imagery and wildlife survey data using a
Bayesian modeling procedure in a GIS. Photogramm.
Eng. Remote Sensing 59:537-543.
Austin, M. P. 1987. Models for the analysis of species
response to environmental gradients. Vegetatio 69:
35-45.
Austin, M. P. 1991a. Vegetation: data collection and
analysis. In: Margules, C. R; Austin, M. P., eds. Nature conservation: cost effective biological surveys
and data analysis. Melbourne: Commonwealth Scientific and Industrial Research Organization: 37-41.
Austin, M. P. 1991b. Vegetation theory in relation to
cost-efficient surveys. In: Margules, C. R; Austin, M.
P., eds. Nature conservation: cost effective biological
surveys and data analysis. Melbourne: Commonwealth Scientific and Industrial Research Organization: 17-22.
Austin, M. P.; Adomeit, E. M. 1991. Sampling strategies
costed by simulation. In: Margules, C. R; Austin, M.
P., eds. Nature conservation: cost effective biological
surveys and data analysis. Melbourne: Commonwealth Scientific and Industrial Research Organization: 167-175.
Austin, M. P.; Heyligers, P. C. 1989. Vegetation survey
design for conservation: gradsect sampling of forests
in north-eastern New South Wales. Bioi. Conserv.
50:13-32.
Austin, M. P.; Heyligers, P. C. 1991. New approach to
vegetation survey design: Gradsect sampling. In: Margules, C. R.; Austin, M. P., eds. Nature conservation:
cost effective biological surveys and data analysis.
Melbourne: Commonwealth Scientific and Industrial
Research Organization: 31-36.
Austin, M. P.; Cunningham, R B.; Good, R B. 1983.
Altitudinal distribution in relation to other environmental factors of several Eucalypt species in southern
New South Wales. Aust. J. Eco/. 8:169-180.
Austin, M. P.; Cunningham, R B.; Fleming, P. M. 1984.
New approaches to direct gradient analysis using environmental scalars and statistical curve fitting procedures. Vegetatio 55:11-27.
Austin, M. P.; Nicholls, A. 0.; Margules, C. R. 1990.
Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species. Eco/.
Monogr. 60:161-177.
Austin, M. P.; Pausas, J. G.; Nicholls, A. O. 1996. Patterns of tree species richness in relation to environment in southeastern New South Wales. Australia.
Aust. J. Ecol. 21:154-164.
Belbin, L.; Austin, M. P. 1991. ECOSIM-a simulation
model for training in cost-effective survey methods.
In: Margules, C. R; Austin, M. P., eds. Nature conservation: cost effective biological surveys and data
103
analysis. Melbourne: Commonwealth Scientific and
Industrial Research Organization: 159-166.
Bellehumeur, C.; Legendre, P. 1998. Multiscale sources
of variation in ecological variables: Modeling spatial
dispersion, elaborating sampling designs. Landscape
Ecol. 13:15-25.
Bian, L. 1997. Multiscale nature of spatial data in scaling up environmental models. In: Quattrochi, D. A.;
Goodchild, M. F., eds. Scale in remote sensing and
GIS. Boca Raton, FL: Lewis Publishers: 13-26.
Bissonette, J. A. 1997. Scale-sensitive ecological properties: Historical context, current meaning. In: Bissonette, J. A., ed. Wildlife and landscape ecology. New
York: Springer-Verlag: 3-31.
Bourgeron, P. S.; Jensen, M. E. 1994. An overview of
ecological principles for ecosystem management. In:
Jensen, M. E.; Bourgeron, P. S., eds. Volume II:
ecosystem management: principles and applications.
PNW-GTR-318. Portland, OR: U.S. Dept. Agric., For.
Serv., Pacific Northw. Res. Sta.: 45-67.
Bourgeron, P. S.; Humphries, H. C.; Jensen, M. E. 1994a.
General sampling design considerations for landscape
evaluation. In: Jensen, M. E.; Bourgeron, P. S., eds.
Volume II: ecosystem management: principles and applications. PNW-GTR-318. Portland, OR: U.S. Dept.
Agric., For. Serv., Pacific Northw. Res. Sta.: 109-120.
Bourgeron, P. S.; Humphries, H. c.; DeVelice, R L.;
Jensen, M. E. 1994b. Ecological theory in relation to
landscape and ecosystem characterization. In: Jensen,
M. E.; Bourgeron, P. S., eds. Volume II: ecosystem
management: principles and applications. PNWGTR-318. Portland, OR: U.S. Dept. Agric., For. Serv.,
Pacific Northw. Res. Sta.: 58-72.
Bourgeron, P. S.; Engelking, L. D.; Humphries, H. c.;
Muldavin, E.; Moir, W. H. 1995. Assessing the conservation value ofthe Gray Ranch: rarity, diversity and
representativeness. Desert Plants 11(2-3):1-68.
Bourgeron, P. S.; Humphries, H. c.; Barber, J. A.;
Turner, S. J.; Jensen, M. E.; Goodman, I. A. 1999. Impact of broad- and fine-scale patterns on regional landscape characterization using AVHRR-derived land
cover data. Ecosystem Health 5:234-258.
Breiman, L.; Friedman, J.; Olshen, R; Stone, C. 1984.
Classification and regression trees. Belmont, CA:
Wadsworth.
Bunce, R. G. H.; Barr, C. J.; Clarke, R T.; Howard,
D. c.; Lane, A. M. J. 1996a. Land classification for strategic ecological survey. J. Environ. Manage. 47:37-60.
Bunce, R. G. H.; Barr, C. J.; Gillespie, M. K.; Howard,
D. C. 1996b. The ITE land classification: Providing
an environmental stratification of Great Britain. Environ. Monit. Assess. 39:39-46.
California Department ofFish and Game (CDFG). 1995.
Special plants list. In: Natural diversity data base.
Sacramento, CA: CDFG.
Cao, C.; Lam, N. S. N. 1997. Understanding the scale
and resolution effects in remote sensing and GIS. In:
Quattrochi, D. A.; Goodchild, M. F., eds. Scale in remote sensing and GIS. Boca Raton, FL: Lewis Publishers: 57-72.
7.10 References
Allen, T. H. F.; Hoekstra, T. W. 1992. The integration
of ecological studies---comment. Funct. Eco/. 6:118119.
Aspinall, R.; Veitch, N. 1993. Habitat mapping from
satellite imagery and wildlife survey data using a
Bayesian modeling procedure in a GIS. Photogramm.
Eng. Remote Sensing 59:537-543.
Austin, M. P. 1987. Models for the analysis of species
response to environmental gradients. Vegetatio 69:
35-45.
Austin, M. P. 1991a. Vegetation: data collection and
analysis. In: Margules, C. R; Austin, M. P., eds. Nature conservation: cost effective biological surveys
and data analysis. Melbourne: Commonwealth Scientific and Industrial Research Organization: 37-41.
Austin, M. P. 1991b. Vegetation theory in relation to
cost-efficient surveys. In: Margules, C. R; Austin, M.
P., eds. Nature conservation: cost effective biological
surveys and data analysis. Melbourne: Commonwealth Scientific and Industrial Research Organization: 17-22.
Austin, M. P.; Adomeit, E. M. 1991. Sampling strategies
costed by simulation. In: Margules, C. R; Austin, M.
P., eds. Nature conservation: cost effective biological
surveys and data analysis. Melbourne: Commonwealth Scientific and Industrial Research Organization: 167-175.
Austin, M. P.; Heyligers, P. C. 1989. Vegetation survey
design for conservation: gradsect sampling of forests
in north-eastern New South Wales. Bioi. Conserv.
50:13-32.
Austin, M. P.; Heyligers, P. C. 1991. New approach to
vegetation survey design: Gradsect sampling. In: Margules, C. R.; Austin, M. P., eds. Nature conservation:
cost effective biological surveys and data analysis.
Melbourne: Commonwealth Scientific and Industrial
Research Organization: 31-36.
Austin, M. P.; Cunningham, R B.; Good, R B. 1983.
Altitudinal distribution in relation to other environmental factors of several Eucalypt species in southern
New South Wales. Aust. J. Eco/. 8:169-180.
Austin, M. P.; Cunningham, R B.; Fleming, P. M. 1984.
New approaches to direct gradient analysis using environmental scalars and statistical curve fitting procedures. Vegetatio 55:11-27.
Austin, M. P.; Nicholls, A. 0.; Margules, C. R. 1990.
Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species. Eco/.
Monogr. 60:161-177.
Austin, M. P.; Pausas, J. G.; Nicholls, A. O. 1996. Patterns of tree species richness in relation to environment in southeastern New South Wales. Australia.
Aust. J. Ecol. 21:154-164.
Belbin, L.; Austin, M. P. 1991. ECOSIM-a simulation
model for training in cost-effective survey methods.
In: Margules, C. R; Austin, M. P., eds. Nature conservation: cost effective biological surveys and data
103
analysis. Melbourne: Commonwealth Scientific and
Industrial Research Organization: 159-166.
Bellehumeur, C.; Legendre, P. 1998. Multiscale sources
of variation in ecological variables: Modeling spatial
dispersion, elaborating sampling designs. Landscape
Ecol. 13:15-25.
Bian, L. 1997. Multiscale nature of spatial data in scaling up environmental models. In: Quattrochi, D. A.;
Goodchild, M. F., eds. Scale in remote sensing and
GIS. Boca Raton, FL: Lewis Publishers: 13-26.
Bissonette, J. A. 1997. Scale-sensitive ecological properties: Historical context, current meaning. In: Bissonette, J. A., ed. Wildlife and landscape ecology. New
York: Springer-Verlag: 3-31.
Bourgeron, P. S.; Jensen, M. E. 1994. An overview of
ecological principles for ecosystem management. In:
Jensen, M. E.; Bourgeron, P. S., eds. Volume II:
ecosystem management: principles and applications.
PNW-GTR-318. Portland, OR: U.S. Dept. Agric., For.
Serv., Pacific Northw. Res. Sta.: 45-67.
Bourgeron, P. S.; Humphries, H. C.; Jensen, M. E. 1994a.
General sampling design considerations for landscape
evaluation. In: Jensen, M. E.; Bourgeron, P. S., eds.
Volume II: ecosystem management: principles and applications. PNW-GTR-318. Portland, OR: U.S. Dept.
Agric., For. Serv., Pacific Northw. Res. Sta.: 109-120.
Bourgeron, P. S.; Humphries, H. c.; DeVelice, R L.;
Jensen, M. E. 1994b. Ecological theory in relation to
landscape and ecosystem characterization. In: Jensen,
M. E.; Bourgeron, P. S., eds. Volume II: ecosystem
management: principles and applications. PNWGTR-318. Portland, OR: U.S. Dept. Agric., For. Serv.,
Pacific Northw. Res. Sta.: 58-72.
Bourgeron, P. S.; Engelking, L. D.; Humphries, H. c.;
Muldavin, E.; Moir, W. H. 1995. Assessing the conservation value ofthe Gray Ranch: rarity, diversity and
representativeness. Desert Plants 11(2-3):1-68.
Bourgeron, P. S.; Humphries, H. c.; Barber, J. A.;
Turner, S. J.; Jensen, M. E.; Goodman, I. A. 1999. Impact of broad- and fine-scale patterns on regional landscape characterization using AVHRR-derived land
cover data. Ecosystem Health 5:234-258.
Breiman, L.; Friedman, J.; Olshen, R; Stone, C. 1984.
Classification and regression trees. Belmont, CA:
Wadsworth.
Bunce, R. G. H.; Barr, C. J.; Clarke, R T.; Howard,
D. c.; Lane, A. M. J. 1996a. Land classification for strategic ecological survey. J. Environ. Manage. 47:37-60.
Bunce, R. G. H.; Barr, C. J.; Gillespie, M. K.; Howard,
D. C. 1996b. The ITE land classification: Providing
an environmental stratification of Great Britain. Environ. Monit. Assess. 39:39-46.
California Department ofFish and Game (CDFG). 1995.
Special plants list. In: Natural diversity data base.
Sacramento, CA: CDFG.
Cao, C.; Lam, N. S. N. 1997. Understanding the scale
and resolution effects in remote sensing and GIS. In:
Quattrochi, D. A.; Goodchild, M. F., eds. Scale in remote sensing and GIS. Boca Raton, FL: Lewis Publishers: 57-72.