From space to species: Ecological applications for remote sensing

Trends in Ecology and Evolution

Volumn 18, Issue 6, 2003, Pages 299-305

  Kerr, Jeremy T ^a   Ostrovsky, Marsha ^a  

^a UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ECOLOGY; METHODOLOGY; REMOTE SENSING;

EID: 0037500103     PISSN: 01695347     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-5347(03)00071-5     Document Type: Review

References (54)

1. Defries R.S., et al. Combining satellite data and biogeochemical models to estimate global effects of human-induced land cover change on carbon emissions and primary productivity. Global Biogeochem. Cycles. 13:1999;803-815.
2. Daily G.C. Nature's Services. 1997;Island Press.
3. Gaston K.J. Global patterns in biodiversity. Nature. 405:2000;220-227.
4. Seabloom E.W., et al. Extinction rates under nonrandom patterns of habitat loss. Proc. Natl. Acad. Sci. U. S. A. 99:2002;11229-11234.
5. May R.M., et al. Assessing extinction rates. Lawton J.H., May R.M., et al. Extinction Rates. 1995;1-24 Oxford University Press.
6. Richards J.A. Remote Sensing Digital Image Analysis. 1993;Springer-Verlag.
7. Chen J.M., et al. Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements. Remote Sens. Environ. 80:2002;165-184.
8. Defries R.S., Townshend J.R.G. Global land cover characterization from satellite data: from research to operational implementation? Global Ecol. Biogeogr. 8:1999;367-379.
9. Hurtt G.C., et al. Linking remote sensing estimates of land cover and census statistics on land use to produce maps of land use of the conterminous United States. Global Biogeochem. Cycles. 15:2001;673-685.
10. Kerr, J.T. and Cihlar, J. Land use and cover with intensity of agriculture for Canada from satellite and census data. Global Ecol. Biogeog. (in press).
11. Franklin S.E., Wulder M.A. Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas. Progr. Phys. Geogr. 26:2002;173-205.
12. Jennings M.D. Gap analysis: concepts, methods, and recent results. Landscape Ecol. 15:2000;5-20.
13. Saveraid E.H., et al. A comparison of satellite data and landscape variables in predicting bird species occurrences in the Greater Yellowstone Ecosystem, USA. Landscape Ecol. 16:2001;71-83.
14. Kerr J.T., et al. Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada. Proc. Natl. Acad. Sci. U. S. A. 98:2001;11365-11370.
15. Cumming G.S. Using habitat models to map diversity: pan-African species richness of ticks (Acari: Ixodida). J. Biogeogr. 27:2000;425-440.
16. Liu J., et al. Net primary productivity mapped for Canada at 1 km resolution. Global Ecol. Biogeogr. 11:2002;115-129.
17. Paruelo J.M., Lauenroth W.K. Interannual variability of NDVI and its relationship to climate for North American shrublands and grasslands. J. Biogeogr. 25:1998;721-733.
18. Jobbágy E.G., et al. Patterns and controls of primary production in the Patagonian steppe: a remote sensing approach. Ecology. 83:2002;307-319.
19. Ichii K., et al. Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982-1990. Int. J. Remote Sens. 23:2002;3873-3878.
20. Paruelo J.M., et al. Land use impact on ecosystem functioning in eastern Colorado, USA. Global Change Biol. 7:2001;631-639.
21. Stoms D.M., Hargrove W.W. Potential NDVI as a baseline for monitoring ecosystem functioning. Int. J. Remote Sens. 21:2000;401-407.
22. Purevdorj T., et al. Relationships between percent vegetation cover and vegetation indices. Int. J. Remote Sens. 19:1998;3519-3535.
23. Fung T., Siu W. Environmental quality and its changes, an analysis using NDVI. Int. J. Remote Sens. 21:2000;1011-1024.
24. Gould W. Remote sensing of vegetation, plant species richness, and regional biodiversity hotspots. Ecol. Appl. 10:2000;1861-1870.
25. Luoto M., et al. Modelling butterfly distribution based on remote sensing data. J. Biogeogr. 29:2002;1027-1037.
26. 2 flux. Vegetatio. 80:1989;71-89.
27. Asner G.P., et al. Ecological research needs from multiangle remote sensing data. Remote Sens. Environ. 63:1998;155-165.
28. Lambin E.F., Ehrlich D. The surface temperature-vegetation index space for land cover and land-coverland cover change analysis. Int. J. Remote Sens. 17:1996;463-487.
29. Quattrochi D.A., Luvall J.C. Thermal infrared remote sensing for analysis of landscape ecological processes: methods and applications. Landscape Ecol. 14:1999;577-598.
30. Lucht W., et al. Climatic control of the high-latitude vegetation greening trend and Pinatubo effect. Science. 296:2002;1687-1689.
31. Thomas C.D., Lennon J.J. Birds extend their ranges northwards. Nature. 399:1999;213.
32. Parmesan C., Yohe G. A globally coherent fingerprint of climate change impacts across natural systems. Nature. 421:2003;37-42.
33. Warren M.S., et al. Rapid responses of British butterflies to opposing forces of climate and habitat change. Nature. 414:2001;65-69.
34. Myneni R.B., et al. A large carbon sink in the woody biomass of northern forests. Proc. Natl. Acad. Sci. U. S. A. 98:2001;14784-14789.
35. Zhou L., et al. Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999. J. Geophys. Res. 106:2001;20069-20083.
36. Wentz F.J., Schabel M. Precise climate monitoring using complementary satellite data sets. Nature. 403:2000;414-416.
37. Dustan P., et al. Landsat thematic mapper: detection of shifts in community composition of coral reefs. Conserv. Biol. 15:2001;892-902.
38. Schwartz M.D. Green wave phenology. Nature. 394:1998;839-840.
39. Menzel A., Fabian P. Growing season extended in Europe. Nature. 397:1999;659.
40. Myers N., et al. Biodiversity hotspots for conservation priorities. Nature. 403:2000;853-858.
41. Brooks T.M., et al. Habitat loss and extinction in the hotspots of biodiversity. Conserv. Biol. 16:2002;909-923.
42. Achard F., et al. Determination of deforestation rates of the world's humid tropical forests. Science. 297:2002;999-1002.
43. Siegert F., et al. Increased damage from fires in logged forests during droughts caused by El Niño. Nature. 414:2001;437-440.
44. Page S.E., et al. The amount of carbon released from peat and forest fires in Indonesia during 1997. Nature. 420:2002;61-65.
45. Brown L., et al. A shortwave infrared modification to the simple ratio for LAI retrieval in boreal forests: an image and model analysis. Remote Sens. Environ. 71:2000;16-25.
46. Chen J.M., Cihlar J. Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sens. Environ. 55:1996;153-162.
47. Goetz S.J., et al. Advances in satellite remote sensing of environmental variables for epidemiological applications. Hay S.I., et al. Remote Sensing and GIS in Public Health. 2000;289-307 Academic Press.
48. Waring R.H., Running S.W. Forest Ecosystems: Analysis at Multiple Scales. 1999;Academic Press.
49. Nagendra H., Gadgil M. Biodiversity assessment at multiple scales: linking remotely sensed data with field information. Proc. Natl. Acad. Sci. U. S. A. 96:1999;9154-9158.
50. Turner, W. et al. Remote sensing for biodiversity science and conservation. Trends Ecol. Evol. doi 10.1016/S0169-5347(03)00070-3.
51. Scribner K.T., et al. Environmental correlates of toad abundance and population genetic diversity. Biol. Conserv. 98:2001;201-210.
52. Rogers D.J., et al. Satellite imagery in the study and forecast of malaria. Nature. 415:2002;710-715.
53. Lobitz B., et al. Climate and infectious disease: use of remote sensing for detection of Vibrio cholerae by indirect measurement. Proc. Natl. Acad. Sci. U. S. A. 97:2000;1438-1443.
54. Cumming G.S. Comparing climate and vegetation as limiting factors for species ranges of African ticks. Ecology. 83:2002;255-268.