The richness-heterogeneity relationship differs between heterogeneity measures within and among habitats

Ecography

Volumn 37, Issue 6, 2014, Pages 528-535

  Bar Massada, Avi ^a   Wood, Eric M ^b  

^a UNIVERSITY OF HAIFA   (Israel)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIRD; EXTINCTION; GRASSLAND; HABITAT STRUCTURE; HABITAT TYPE; HETEROGENEITY; SAVANNA; SPECIES RICHNESS; WOODLAND;

AVES;

EID: 84897939361     PISSN: 09067590     EISSN: 16000587     Source Type: Journal    
DOI: 10.1111/j.1600-0587.2013.00590.x     Document Type: Article

References (35)

1. Allouche O. et al. 2012. Area-heterogeneity tradeoff and the diversity of ecological communities. - Proc. Natl Acad. Sci. USA 109: 17485 - 17500.
2. Atauri J. A. and de Lucio J. V. 2001. The role of landscape structure in species richness distribution of birds, amphibians, reptiles and lepidopterans in Mediterranean landscapes. - Lanscape Ecol. 16: 147 - 159.
3. Bar-Massada A. et al. 2012. Complex effects of scale on the relationships of landscape pattern versus avian species richness and community structure in a woodland savanna mosaic. - Ecography 35: 393 - 411.
4. Benton T. G. et al. 2003. Farmland biodiversity: is habitat heterogeneity the key? - Trends Ecol. Evol. 18: 182 - 188.
5. Bergen K. M. et al. 2009. Remote sensing of vegetation 3D structure for biodiversity and habitat: review and implications for lidar and radar spaceborne missions. - J. Geophys. Res. 114: G00E06.
6. Clawges R. et al. 2008. The use of airborne lidar to assess avian species diversity, density, and occurrence in a pine/aspen forest. - Remote Sens. Environ. 112: 2064 - 2073.
7. Cody M. L. 1981. Habitat selection in birds: the roles of vegetation structure, competitors, and productivity. - BioScience 31: 107 - 113.
8. Culbert P. D. et al. 2012. Modeling broad-scale patterns of avian species richness across the Midwestern United States with measures of satellite image texture. - Remote Sens. Environ. 118: 140 - 150.
9. Curtis J. T. 1959. The vegetation of Wisconsin: an ordination of plant communities. - Univ. of Wisconsin Press.
10. Cushman S. A. and McGarigal K. 2004. Patterns in the species- environment relationship depend on both scale and choice of response variables. - Oikos 105: 117 - 124.
11. Estades C. F. 1997. Bird-habitat relationships in a vegetational gradient in the Andes of central Chile. - Condor 99: 719 - 727.
12. Hortal J. et al. 2013. Species richness can decrease with altitude but not with habitat diversity. - Proc. Natl Acad. Sci. USA 110: E2149 - E2150.
13. Imhoff M. L. et al. 1997. Remotely sensed indicators of habitat heterogeneity: use of synthetic aperture radar in mapping vegetation structure and bird habitat. - Remote Sens. Environ. 60: 217 - 227.
14. Jonsen I. D. and Fahrig L. 1997. Response of generalist and specialist insect herbivores to landscape spatial structure. - Landscape Ecol. 12: 185 - 197.
15. Kadmon R. and Allouche O. 2007. Integrating the effects of area, isolation, and habitat heterogeneity on species diversity: a unification of island biogeography and niche theory. - Am. Nat. 170: 443 - 454.
16. Karr J. R. et al. 1971. Vegetation structure and avian diversity in several New World areas. - Am. Nat. 105: 423 - 435.
17. Kent R. et al. 2011. Multiscale analyses of mammal species composition-environment relationship in the contiguous USA. - PLoS One 6: e25440.
18. Kerr J. T. and Packer L. 1997. Habitat heterogeneity as a determinant of mammal species richness in high-energy regions. - Nature 385: 252 - 254.
19. Legendre P. and Fortin M. J. 1989. Spatial pattern and ecological analysis. - Vegetatio 80: 107 - 138.
20. MacArthur R. H. and MacArthur J. W. 1961. On bird species diversity. - Ecology 42: 594 - 598.
21. Martin T. E. et al. 1997. BBIRD field protocol. - Montana Cooperative Wildlife Research Unit, Univ. of Montana.
22. Rahbek C. and Graves G. R. 2001. Multiscale assessment of patterns of avian species richness. - Proc. Natl Acad. Sci. USA 98: 4534 - 4539.
23. Ralph C. J. et al. 1995. Managing and monitoring birds using point counts: standards and applications. - In: Ralph C. J. et al. (eds), Monitoring bird populations by point counts. USDA Forest Service, Pacific Southwest Research Station, General Technical Report PSW-GTR-149, pp. 161 - 168.
24. Risser P. G. 1995. The status of the science examining ecotones. - Bioscience 45: 318 - 325.
25. Rotenberry J. T. and Wiens J. A. 1980. Habitat structure, patchiness, and avian communities in North American steppe vegetation: a multivariate analysis. - Ecology 61: 1228 - 1250.
26. St-Louis V. et al. 2009. Satellite image texture and a vegetation index predict avian biodiversity in the Chihuahuan desert of New Mexico. - Ecography 32: 468 - 480.
27. Turner M. G. 1989. Landscape ecology: the effect of pattern on process. - Annu. Rev. Ecol. Syst. 20: 171 - 197.
28. Veech J. A. and Crist T. O. 2007. Habitat and climate heterogeneity maintain beta-diversity of birds among landscapes within ecoregions. - Global Ecol. Biogeogr. 16: 650 - 656.
29. Vierling K. T. et al. 2008. Lidar: shedding new light on habitat characterization and modeling. - Front. Ecol. Environ. 6: 90 - 98.
30. Weibull A.-C. et al. 2000. Diversity of butterflies in the agricultural landscape: the role of farming system and landscape heterogeneity. - Ecography 23: 743 - 750.
31. Wiens J. A. et al. 1981. Habitat associations and community structure of birds in shrubsteppe environments. - Ecol. Monogr. 51: 21 - 42.
32. Wiens J. A. et al. 1987. Habitat occupancy patterns of North American shrubsteppe birds: the effects of spatial scale. - Oikos 48: 132 - 147.
33. Wood E. M. et al. 2011. Effects of oak barrens habitat management for Karner blue butterfly (Lycaeides samuelis) on the avian community. - Biol. Conserv. 144: 3117 - 3126.
34. Wood E. M. et al. 2012. Image texture as a remotely sensed measure of vegetation structure. - Remote Sens. Environ. 121: 516 - 526.
35. Wood E. M. et al. 2013. Image texture predicts avian density and species richness. - PLoS One 8: e63211.