Satellite Data-Based Indices to Monitor Land Use and Habitat Changes

Biodiversity Monitoring and Conservation: Bridging the Gap between Global Commitment and Local Action

Volumn , Issue , 2013, Pages 95-119

  Pettorelli, Nathalie ^a  

^a INSTITUTE OF ZOOLOGY   (United Kingdom)

Author keywords

Biodiversity; Ecology; Environmental change; Habitat changes; Land use; Normalized difference vegetation index (NDVI); Satellites

Indexed keywords

EID: 84887231144     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9781118490747.ch5     Document Type: Chapter

References (105)

1. Achard, F. and Blasco, F. (1990) Analysis of vegetation seasonal evolution and mapping of forest cover in West Africa with the use of NOAA AVHRR data. Photogrammetric Engineering and Remote Sensing, 56, 1359-1365.
2. Achard, F. and Estreguil, C. (1995) Forest classification of Southeast Asia using NOAA AVHRR data. Remote Sensing of Environment, 54, 198-208.
3. Andersen, R., Herfindal, I., Saether, B.E., Linnell, J.D.C., Odden, J. and Liberg, O. (2004) When range expansion rate is faster in marginal habitats. Oikos, 107, 210-214.
4. Anyamba, A., Davies, G., Indeje, M., Ogallo, L.J., and Ward, M.N. (2006) Predictability of the Normalized Difference Vegetation Index in Kenya and potential applications as an indicator of Rift Valley fever outbreaks in the Greater Horn of Africa. Journal of Climate, 19, 1673-1687.
5. Asrar, G., Fuchs, M., Kanemasu, E.T., and Hatfield, J.L. (1984) Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat. Agronomy Journal, 76, 300-306.
6. Barrett, E.C. and Curtis, L.F. (1999) Introduction to Environmental Remote Sensing, 4th edn. Stanley Thornes Ltd.
7. Berteaux, D., Humphries, M.M., Krebs, C.J., et al. (2006) Constraints to predicting the effects of climate change on mammals. Climate Research, 32, 151-158.
8. Boone, R.B., Thirgood, S.J., and Hopcraft, J.G.C. (2006) Serengeti wildebeest migratory patterns modeled from rainfall and new vegetation growth. Ecology, 87, 1987-1994.
9. Bradbury, R.B., Hill, R.A., Mason, D.C., et al. (2005) Modelling relationships between birds and vegetation structure using airborne LiDAR data: a review with case studies from agricultural and woodland environments. Ibis, 147, 443-452.
10. Bro-Jørgensen, J., Brown, M., and Pettorelli, N. (2008) Using NDVI to explain ranging patterns in a lek-breeding antelope: the importance of scale. Oecologia, 158, 177-182.
11. Campbell, J.B. (2007) Introduction to Remote Sensing, 4th edn. Guilford Press.
12. Churnside, J.H. and Donaghay, P.L. (2009) Thin scattering layers observed by airborne lidar. ICES Journal of Marine Science, 66, 778-789.
13. Churnside, J.H. and Ostrovsky, L.A. (2005) Lidar observation of a strongly nonlinear internal wave train in the Gulf of Alaska. International Journal of Remote Sensing, 26, 167-177.
14. Ciarniello, L.M., Boyce, M.S., Seip, D.R., and Heard, D.C. (2007) Grizzly bear habitat selection is scale dependent. Ecological Applications, 17, 1424-1440.
15. Couturier, S., Ĉté, S.D., Otto, R.D., Weladji, R.B., and Huot, J. (2009) Variation in calf body mass in migratory caribou: the role of habitat, climate, and movements. Journal of Mammalogy, 90, 442-452.
16. Crick, H.Q.P. and Sparks, T.H. (1999) Climate change related to egg-laying trends. Nature, 399, 423-424.
17. DeFries, R., Achard, F., Brown, S., et al. (2007) Earth observations for estimating greenhouse gas emissions from deforestation in developing countries. Environmental Science and Policy, 10, 385-394.
18. Ding, T.S., Yuan, H.W., Geng, S., Koh, C.N., and Lee, P.F. (2006) Macro-scale bird species richness patterns of the East Asianmainland and islands: energy, area and isolation. Journal of Biogeography, 33, 683-693.
19. Dubayah, R.O. and Drake, J.B. (2000) Lidar remote sensing for forestry. Journal of Forestry, 98, 44-46.
20. Easterling,D.R., Meehl, G.A., Parmesan, C., Changnon, S.A., Karl, T.R., and Mearns, L.O. (2000) Climate extremes: observations, modelling, and impacts. Science, 289, 2068-2074.
21. Estrada-Pena, A., Quilez, J., and Sanchez Acedo, C. (2004) Species composition, distribution, and ecological preferences of the ticks of grazing sheep in North-Central Spain. Medical and Veterinary Entomology, 18, 123-133.
22. Evans, K.L., Warren, P.H. and Gaston, K.J. (2005) Species-energy relationships at the macroecological scale: a review of the mechanisms. Biological Review, 8, 1-25.
23. Evans, K.L., James, N.A., and Gaston, K.J. (2006) Abundance, species richness and energy availability in the North American avifauna. Global Ecology and Biogeography, 15, 372-385.
24. Funk, C.C. and Brown, M.E. (2006) Intra-seasonal NDVI change projections in semi-arid Africa. Remote Sensing of Environment, 101, 249-256.
25. Gaston, K.J. and Spicer, J.I. (2004) Biodiversity: an Introduction, 2nd edn. Blackwell Publishing.
26. Gibbs, H.K., Brown, S., Niles, J.O., and Foley, J.A. (2007) Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters, 2, 1-13.
27. Gillespie, T.W., Foody, G.M., Rocchini, D., Giorgi, A.P., and Saatchi, S. (2008) Measuring and modelling biodiversity from space. Progress in Physical Geography, 32, 203-221.
28. Goetz, S.J., Baccini, A., Laporte, N.T., et al. (2009) Mapping and monitoring carbon stocks with satellite observations: a comparison of methods. Carbon Balance and Management, 4, 1-7.
29. Goward, S.N. and Prince, S.D. (1995) Transient effects of climate on vegetation dynamics: satellite observations. Journal of Biogeography, 22, 549-564.
30. Goward, S.N., Markham, B., Dye, D.G., Dulaney, W., and Yang, J. (1991) Normalized difference vegetation index measurements from the Advanced Very High Resolution Radiometer. Remote Sensing of the Environment, 35, 257-277.
31. Hall, L.S., Krausman, P.R., and Morrison, M.L. (1997) The habitat concept and a plea for standard terminology. Wildlife Society Bulletin, 25, 173-182.
32. Hansen, B.B., Aanes, R., Herfindal, I., Saether, B.E., and Henriksen, S. (2009) Winter habitatspace use in a large arctic herbivore facing contrasting forage abundance. Polar Biology, 32, 971-984.
33. Hebblewhite, M., Merrill, E., and McDermid, G. (2008) A multi-scale test of the forage maturation hypothesis in a partially migratory ungulate population. Ecological Monographs, 78, 141-166.
34. Hill, D., Fasham, M., Tucker, G., Shewry, M., and Shaw, P. (2005) Handbook of Biodiversity Methods: Survey, Evaluation and Monitoring. Cambridge University Press, UK.
35. Hortal, J., Roura-Pascual, N., Sanders,N.J., and Rahbek C. (2010) Understanding (insect) species distributions across spatial scales. Ecography, 33, 51-53.
36. Huete, A.R. (1988) A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25, 295-309.
37. Huete, A., Didan, K., Miura, T., Rodriguez, E.P., Gao, X., and Ferreira, L.G. (2002) Overview of radiometric and biophysical performance of the MODIS vegetation indices. Remote Sensing of the Environment, 83, 195-213.
38. Hurlbert, A.H. (2004) Species-energy relationships and habitat complexity in bird communities. Ecology Letters, 7, 714-720.
39. Hurlbert, A.H. and Haskell, J.P. (2003) The effect of energy and seasonality on avian species richness and community composition. American Naturalist, 161, 83-97.
40. Inouye, D.W., Barr, B., Armitage, K.B., and Inouye, B.D. (2000) Climate change is affecting altitudinal migrants and hibernating species. Proceedings of the National Academy of Sciences of the USA, 97, 1630-1633.
41. IPCC (Intergovernmental Panel on Climate Change) (2001) Climate Change 2001. Synthesis Report. Cambridge University Press, Cambridge.
42. IPCC (Intergovernmental Panel on Climate Change) (2007) Climate Change 2007: Synthesis Report. Fourth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC. Available at: http://www.ipcc.ch/pdf/assessment-report/ar4/syr/ar4_syr.pdf.
43. Ito, T.Y., Miura, N., Lhagvasuren, B., et al. (2006) Satellite tracking of Mongolian gazelles (Procapra gutturosa) and habitat shifts in their seasonal ranges. Journal of Zoology, 269, 291-298.
44. Jensen, J.R. (2007) Remote Sensing of the Environment: An Earth Resource Perspective, 2nd edn. Prentice Hall.
45. Justice, C.O., Townshend, J.R.G., Holben, B.N., and Tucker, C.J. (1985) Analysis of the phenology of global vegetation using meteorological satellite data. International Journal of Remote Sensing, 6, 1271-1318.
46. Kaya, S., Sokol, J., and Pultz, T.J. (2004) Monitoring environmental indicators of vector-borne disease from space: a new opportunity for RADARSAT-2. Canadian Journal of Remote Sensing, 30, 560-565.
47. Kasischke, E.S., Melack, J.M., and Dobson,M.C. (1997) The use of imaging radars for ecological applications - a review. Remote Sensing of Environment, 59, 141-156.
48. Kerr, J.T. and Ostrovsky, M. (2003) From space to species: ecological applications for remote sensing. Trends in Ecology and Evolution, 18, 299-305.
49. Koy, K., McShea, W.J., Leimgruber, P., Haack, B.N., and Aung, M. (2005) Percentage canopy cover - using Landsat imagery to delineate habitat for Myanmar's endangered Eld's deer (Cervus eldi). Animal Conservation, 8, 289-296.
50. Lahoz-Monfort, J.J., Guillera-Arroita, G., Milner-Gulland, E.J., Young, R.P., and Nicholson, E. (2010) Satellite imagery as a single source of predictor variables for habitat suitability modelling: how Landsat can inform the conservation of a critically endangered lemur. Journal of Applied Ecology, 47, 1094-1102.
51. Lefsky,M.A., Harding, D.J., Keller, M., et al. (2005) Estimates of forest canopy height and aboveground biomass using ICESat. Geophysical Research Letters, 32; doi:10.1029/2005GL023971.
52. Loe, L.E., Bonenfant, C., Mysterud, A., et al. (2005) Climate predictability and breeding phenology in red deer: timing and synchrony of rutting and calving in Norway and France. Journal of Animal Ecology, 74, 579-588.
53. Loveland, T.R., Cochrane, M.A., and Henebry, G.M. (2008) Landsat still contributing to environmental research. Trends in Ecology and Evolution, 23, 182-183.
54. Markon, C.J. and Peterson, K.M. (2002) The utility of estimating net primary productivity over Alaska using baseline AVHRR data. International Journal of Remote Sensing, 23, 4571-4596.
55. Markon, C.J., Fleming, M.D., and Binnian, E.F. (1995) Characteristics of vegetation phenology over the Alaskan landscape using AVHRR time-series data. Polar Records, 31, 179-190.
56. Maselli, F., Romanelli, S., Bottai, L., and Zipoli, G. (2003) Use of NOAA-AVHRR NDVI images for the estimation of dynamic fire risk in Mediterranean areas. Remote Sensing of Environment, 86, 187-197.
57. McNeely, J. (2001) Invasive species: a costly catastrophe for native biodiversity. Land Use and Water Resources Research, 1, 1-10.
58. Meehl, G.A., Washington, W.M., Collins, W.D., et al. (2005) How much more global warming and sea level rise? Science, 307, 1769-1772.
59. Millennium Ecosystem Assessment (2005a) Ecosystems and Human Well-being: Synthesis. Island Press, Washington, DC.
60. Millennium Ecosystem Assessment (2005b) Ecosystems and Human Well-being: Biodiversity Synthesis.World Resources Institute, Washington, DC.
61. Morrison,M.L., Marcot, B.G., and Mannan, R.W. (1992) Wildlife-HabitatRelationships: Concepts and Applications. University ofWisconsin Press, Madison, 343 pp.
62. Mueller, T., Olson, K.A., Fuller, T.K., Schaller, G.B., Murray, M.G., and Leimgruber, P. (2008) In search of forage: predicting dynamic habitats of Mongolian gazelles using satellite-based estimates of vegetation productivity. Journal of Applied Ecology, 45, 649-658.
63. Muller, J. and Brandl, R. (2009) Assessing biodiversity by remote sensing inmountainous terrain: the potential of LiDAR to predict forest beetle assemblages. Journal of Applied Ecology, 46, 897-905.
64. Myneni, R.B., Hall, F.G., Sellers, P.J., and Marshak, A.L. (1995) The interpretation of spectral vegetation indexes. IEEE Transactions on Geoscience and Remote Sensing, 33, 481-486.
65. Nagendra, H. (2001) Using remote sensing to assess biodiversity. International Journal of Remote Sensing, 22, 2377-2400.
66. Neigh, C.S.R., Tucker, C.J., and Townshend, J.R.G. (2008) North American vegetation dynamics observed with multi-resolution satellite data. Remote Sensing of Environment 112, 1749-1772.
67. Onoda, M. (2008) Satellite observation of greenhouse gases: Monitoring the climate change regime. Space Policy, 24, 190-198.
68. Pettorelli, N., Vik, J.O., Mysterud, A., Gaillard, J.-M., Tucker, C.J., and Stenseth N.C. (2005a) Using the satellite-derived Normalized Difference Vegetation Index (NDVI) to assess ecological effects of environmental change. Trends in Ecology and Evolution, 20, 503-510.
69. Pettorelli,N., Mysterud,A., Yoccoz, N.G., Langvatn, R., and Stenseth N.C. (2005b) Importance of climatological downscaling and plant phenology for red deer in heterogeneous landscapes. Proceedings of the Royal Society of London (B), 272, 2357-2364.
70. Pettorelli, N., Weladji, R., Holand, Ø., Mysterud, A., Breie, H., and Stenseth, N.C. (2005c) The relative role of winter and spring conditions: linking climate and landscape-scale plant phenology to alpine reindeer body mass. Biology Letters, 1, 24-26.
71. Pettorelli, N., Gaillard, J.-M., Mysterud, A., et al. (2006) Using a proxy of plant productivity (NDVI) to track animal performance: the case of roe deer. Oikos, 112, 565-572.
72. Pettorelli, N., Pelletier, F., Von Hardenberg, A., Festa-Bianchet, M., and Cote, S. (2007) Early onset of vegetation growth versus rapid green-up: impacts on juvenile mountain ungulates. Ecology, 88, 381-390.
73. Pettorelli, N., Bro-Jørgensen, J., Durant, S.M., Blackburn, T., and Carbone, C. (2009) Energy availability and density estimates in African ungulates. American Naturalist, 173, 698-704.
74. Pettorelli, N., Ryan, S., Mueller, T., et al. (2011) The Normalized Difference Vegetation Index (NDVI): unforeseen successes in animal ecology. Climate Research, 46, 15-27.
75. Prince, S.D., Becker-Reshef, I., and Rishmawi, K. (2009) Detection and mapping of long-term land degradation using local net production scaling: application to Zimbabwe. Remote Sensing of Environment, 113, 1046-1057.
76. Reed, B.C., Brown, J.F., VanderZee, D., Loveland, T.R., Merchant, J.W., and Ohlen, D.O. (1994) Measured phenological variability from satellite imagery. Journal of Vegetation Science, 5, 703-714.
77. Reynolds, J.F. and Stafford Smith, M. (eds) (2002) Global Desertification: Do Humans Create Deserts? Dahlem University Press, Berlin.
78. Rossow, W.B. and Schiffer, R.A. (1999) Advances in understanding clouds from ISCCP. Bulletin of the American Meteorological Society, 80, 2261-2287.
79. Running, S.W. (1990) Estimating primary productivity by combining remote sensing with ecosystem simulation. In: Hobbs, R.J. and Mooney, H.A. (eds), Remote Sensing of Biosphere Functioning. Springer-Verlag, New York, pp. 65-86.
80. Ryan, S.J., Knechtel, C.U., and Getz, W.M. (2007) Ecological cues, gestation length, and birth timing in African buffalo. Behavioral Ecology, 18, 635-644.
81. Saino, N., Szep, T., Ambrosini, R., Romano, M., and Moller, A.P. (2004) Ecological conditions during winter affect sexual selection and breeding in a migratory bird. Proceedings of the Royal Society of London B 271, 681-686.
82. Schaub, M., Kania, W., and Koppen, U. (2005) Variation in primary production during winter indices synchrony in survival rates in migratory white storks Ciconia ciconia. Journal of Animal Ecology, 74, 656-666.
83. Senay, G.B. and Elliott, R.L. (2002) Capability of AVHRR data in discriminating rangeland cover mixtures. International Journal of Remote Sensing, 23, 299-312.
84. Singh, R.P., Roy, S., and Kogan, F.N. (2003) Vegetation and temperature condition indices from NOAA AVHRR data for drought monitoring over India. International Journal of Remote Sensing, 24, 4393-4402.
85. Statzner, B. and Moss, B. (2004) Linking ecological function, biodiversity and habitat: a mini-review focusing on older ecological literature. Basic and Applied Ecology, 5, 97-106.
86. Stenseth, N.C., Mysterud, A., Ottersen, G., Hurrell, J.W., Chan, K.S., and Lima, M. (2002) Ecological effects of climate fluctuations. Science, 297, 1292-1296.
87. St-Louis, V., Pidgeon, A.M., Clayton, M.K., Locke, B.A., Bash, D., and Radeloff, V.C. (2009) Satellite image texture and a vegetation index predict avian biodiversity in the Chihuahuan desert of New Mexico. Ecography, 32, 468-480.
88. Sun, G., Ranson, K.J., Kimes, D.S., Blair, J.B., and Kovacs, K. (2008) Forest vertical structure from GLAS: An evaluation using LVIS and SRTM data. Remote Sensing of Environment, 112, 107-117.
89. Tait, A. and Zheng, X.G. (2003) Mapping frost occurrence using satellite data. Journal of Applied Meteorology, 42, 193-203.
90. Thiam, A.K. (2003) The causes and spatial pattern of land degradation risk in southern Mauritania using multitemporal AVHRR-NDVI imagery and field data. Land Degradation and Development, 14, 133-142.
91. Trimble,M.J., Ferreira, S.M., and van Aarde, R.J. (2009) Drivers ofmegaherbivore demographic fluctuations: inference from elephants. Journal of Zoology, 279, 18-26.
92. Tucker, C.J. (1979) Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of the Environment, 8, 127-150.
93. Tucker, C.J., Townshend, J.R.G., and Goff, T.E. (1985) African land-cover classification using satellite data. Science, 227, 369-375.
94. Tucker, C.J., Grant, D.M., and Dykstra, J.D. (2004) NASA's global orthorectified Landsat data set. Photogrammetric Engineering and Remote Sensing, 70, 313-322.
95. Tucker, C.J., Pinzon, J.E., Brown, M.E., et al. (2005) An extended AVHRR 8-km NDVI data set compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing, 26, 4485-4498.
96. Turner, W., Spector, S., Gardiner, N., Fladeland, M., Sterling, E., and Steininger, M. (2003) Remote sensing for biodiversity science and conservation. Trends in Ecology and Evolution, 18, 306-314.
97. Van Wagtendonk, J.W. and Root, R.R. (2003) The use of multi-temporal Landsat Normalized Difference Vegetation Index (NDVI) data for mapping fuel models in Yosemite National Park, USA. International Journal of Remote Sensing, 24, 1639-1651.
98. Visser, M.E., Both, C., and Lambrechts, M.M. (2004) Global climate change leads to mistimed avian reproduction. Advances in Ecological Research, 35, 89-110.
99. Wang, Q., Watanabe, M., Hayashi, S., and Murakami, S. (2003) Using NOAA AVHRR data to assess flood damage in China. Environmental Monitoring Assessment, 82, 119-148.
100. Willems, E.P., Barton, R.A., and Hill, R.A. (2009) Remotely sensed productivity, regional home range selection, and local range use by an omnivorous primate. Behavioral Ecology, 20, 985-992.
101. Wittemyer, G., Cerling, T.E., and Douglas-Hamilton, I. (2009) Establishing chronologies from isotopic profiles in serially collected animal tissues: An example using tail hairs from African elephants. Chemical Geology, 267, 3-11.
102. Wood, A., Stedman-Edwards, P., and Mang, J. (eds) (2000) The Root Causes of Biodiversity Loss. Earthscan, London, 399 pp.
103. World Meteorological Organization (2005) Climate and Land Degradation. WMO, Geneva.
104. Zinner, D., Pelaez, F., and Torkler, F. (2002) Distribution and habitat of grivet monkeys in eastern and central Eritrea. African Journal of Ecology, 40, 151-158.
105. Zweifel-Schielly, B., Kreuzer, M., Ewald, K.C., and Suter, W. (2009) Habitat selection by an Alpine ungulate: the significance of forage characteristics varies with scale and season. Ecography, 32, 103-113.