Acevedo, M.A. and Restrepo, C.2008: Land-cover and land-use change and its contribution to the large-scale organization of Puerto Rico's bird assemblages. Diversity and Distributions14, 114-22.
2.
Akcakaya, H.R., Butchart, S.H.M., Mace, G.M., Stuart, S.N. and Hilton-Taylor, C.2006: Use and misuse of the IUCN Red List Criteria in projecting climate change impacts on biodiversity. Global Change Biology12, 2037-43.
3.
Amarnath, G., Murthy, M.S.R., Britto, S.J., Rajashekar, G. and Dutt, C.B.S.2003: Diagnostic analysis of conservation zones using remote sensing and GIS techniques in wet evergreen forests of the Western Ghats - an ecological hotspot, Tamil Nadu, India. Biodiversity and Conservation12, 2331-59.
4.
Anderson, B.J.2008: Research in the journal Landscape Ecology, 1987-2005 . Landscape Ecology23, 129-34.
5.
Araujo, M.B., Whittaker, R.J., Ladle, R.J. and Erhard, M.2005: Reducing uncertainty in projections of extinction risk from climate change. Global Ecology and Biogeography14, 529-38.
6.
Aswani, S. and Lauer, M.2006: Incorporating fishermen's local knowledge and behavior into geographical information systems (GIS) for designing marine protected areas in Oceania. Human Organization, 65, 81-102.
7.
Austin, M.2007: Species distribution models and ecological theory: a critical assessment and some possible new approaches. Ecological Modelling200, 1-19.
8.
Bailey, N., Lee, J.T. and Thompson, S.2006: Maximizing the natural capital benefits of habitat creation: spatially targeting native woodland using GIS. Landscape and Urban Planning75, 227-43.
9.
Balaguru, B., Britto, S.J., Nagamurugan, N., Natarajan, D. and Soosairaj, S.2006: Identifying conservation priority zones for effective management of tropical forests in Eastern Ghats of India. Biodiversity and Conservation15, 1529-43.
10.
Beaumont, L.J., Pitman, A.J., Poulsen, M. and Hughes, L.2007: Where will species go? Incorporating new advances in climate modelling into projections of species distributions. Global Change Biology13, 1368-85.
11.
Bergen, K.M., Gilboy, A.M. and Brown, D.G.2007: Multi-dimensional vegetation structure in modeling avian habitat. Ecological Informatics2, 9-22.
12.
Berry, P.M., Dawson, T.P., Berry, P.A. and Harrison, P.A.2002: SPECIES: a spatial evaluation of climate impacts on the envelope of species. Ecological Modelling154, 289-300.
13.
Best, B.D., Halpin, P.N., Fujioka, E., Read, A.J., Qian, S.S., Hazen, L.J. and Schick, R.S.2007: Geospatial web services within a scientific workflow: predicting marine mammal habitats in a dynamic environment. Ecological Informatics2, 210-23.
14.
Boschetti, M., Boschetti, L., Oliveri, S., Casati, L. and Canova, I.2007: Tree species mapping with airborne hyper-spectral MIVIS data: the Ticino Park study case. International Journal of Remote Sensing28, 1251-61.
15.
Botkin, D.B., Saxe, H., Araujo, M.B., Betts, R., Bradshaw, R.H.W., Cedhagen, T., Chesson, P., Dawson, T.P., Etterson, J.R., Faith, D.P., Ferrier, S., Guisan, A., Hansen, A.S., Hilbert, D.W., Loehle, C., Margules, C., New, M., Sobel, M.J. and Stockwell, D.R.B.2007: Forecasting the effects of global warming on biodiversity. Bioscience, 57, 227-36.
16.
Boyd, D.S. and Danson, F.M.2005: Satellite remote sensing of forest resources: three decades of research development. Progress in Physical Geography29, 1-26.
17.
Boyd, D.S., Sanchez-Hernandez, C. and Foody, G.M.2006: Mapping a specific class for priority habitats monitoring from satellite sensor data. International Journal of Remote Sensing27, 2631-44.
18.
Brandtberg, T.2002: Individual tree-based species classification in high spatial resolution aerial images of forests using fuzzy sets. Fuzzy Sets and Systems132, 371-87.
19.
Brandtberg, T., Warner, T.A., Landenberger, R.E. and McGraw, J.B.2003: Detection and analysis of individual leaf-off tree crowns in small footprint, high sampling density lidar data from the eastern deciduous forest in North America. Remote Sensing of Environment85, 290-303.
20.
Brooker, R.W., Travis, J.M.J., Clark, E.J. and Dytham, C.2007: Modelling species' range shifts in a changing climate: the impacts of biotic interactions, dispersal distance and the rate of climate change. Journal of Theoretical Biology245, 59-65.
21.
Campbell, D.J., Lusch, D.P., Smucker, T.A. and Wangui, E.E.2005: Multiple methods in the study of driving forces of land use and land cover change: a case study of SE Kajiado District, Kenya . Human Ecology33, 763-94.
22.
Carleer, A. and Wolff, E.2004: Exploitation of very high resolution satellite data for tree species identification. Photogrammetric Engineering and Remote Sensing70, 135-40.
23.
Carlson, K.M., Asner, G.P., Hughes, R.F., Ostertag, R. and Martin, R.E.2007: Hyperspectral remote sensing of canopy biodiversity in Hawaiian lowland rainforests. Ecosystems10, 536-49.
24.
Carvalho, J., Soares, A. and Bio, A.2006: Improving satellite images classification using remote and ground data integration by means of stochastic simulation. International Journal of Remote Sensing27, 3375-86.
25.
Cayuela, L., Benayas, J.M.R. and Echeverria, C.2006a: Clearance and fragmentation of tropical montane forests in the Highlands of Chiapas, Mexico (1975-2000). Forest Ecology and Management226, 208-18.
26.
Cayuela, L., Benayas, J.M., Justel, A. and Salas-Rey, J.2006b: Modelling tree diversity in a highly fragmented tropical montane landscape. Global Ecology and Biogeography15, 602-13.
Chowdhury, R.R.2006: Landscape change in the Calakmul Biosphere Reserve, Mexico: modeling the driving forces of smallholder deforestation in land parcels . Applied Geography26, 129-52.
29.
Clark, D.B., Castro, C.S., Alvarado, L.D.A. and Read, J.M.2004a: Quantifying mortality of tropical rain forest trees using high-spatial-resolution satellite data. Ecology Letters7, 52-59.
30.
Clark, D.B., Read, J.M., Clark, M.L., Cruz, A.M., Dotti, M.F. and Clark, D.A., 2004b: Application of 1-M and 4-M resolution satellite data to ecological studies of tropical rain forests. Ecological Applications14, 61-74.
31.
Clawges, R., Vierling, K., Vierling, L. and Rowell, E.2008: The use of airborne lidar to assess avian species diversity, density and occurrence in a pine/aspen forest. Remote Sensing of Environment112, 2064-73.
32.
Cohen, W.B. and Goward, S.N.2004: Landsat's role in ecological applications of remote sensing . Bioscience54, 535-45.
33.
Comber, A., Fisher, P. and Wadsworth, R.2005: What is land cover?Environment and Planning B32, 199-209.
34.
D'Iorio, M., Jupiter, S.D., Cochran, S.A. and Potts, D.C.2007: Optimizing remote sensing and GIS tools for mapping and managing the distribution of an invasive mangrove (Rhizophora mangle) on South Molokai, Hawaii. Marine Geodesy30, 125-44.
35.
Dorman, C.F.2007: Effects of incorporating spatial autocorrelation into the analysis of species distribution data. Global Ecology and Biogeography16, 129-38.
36.
Duro, D., Coops, N.C., Wulder, M.A. and Han, T.2007: Development of a large area biodiversity monitoring system driven by remote sensing, Progress in Physical Geography31, 235-60.
37.
Duveiller, G., Defourny, P., Desclee, B. and Mayaux, P.2008: Deforestation in central Africa: estimates at regional, national and landscape levels by advanced processing of systematically-distributed Landsat extracts. Remote Sensing of Environment112, 1969-81.
38.
Echeverria, C., Coomes, D.A., Hall, M. and Newton, A.C.2008: Spatially explicit models to analyze forest loss and fragmentation between 1976 and 2020 in southern Chile. Ecological Modelling212, 439-49.
39.
Eigenbrod, F., Hecnar, S.J. and Fahrig, L.2008: Accessible habitat: an improved measure of the effects of habitat loss and roads on wildlife populations. Landscape Ecology23, 159-68.
40.
Ellis, E.C. and Wang, H.2006: Estimating area errors for fine-scale feature-based ecological mapping. International Journal of Remote Sensing27, 4731-49.
41.
Everitt, J.H., Yang, C., Helton, R.J., Hartmann, L.H. and Davis, M.R.2002: Remote sensing of giant salvinia in Texas waterways . Journal of Aquatic Plant Management40, 11-16.
42.
Falcucci, A., Maiorano, L. and Boitani, L.2007: Changes in land-use/land-cover patterns in Italy and their implications for biodiversity conservation. Landscape Ecology22, 617-31.
43.
Feeley, K.J., Gillespie, T.W. and Terborgh, J.W.2005: The utility of spectral indices from Landsat ETM+ for measuring the structure and composition of tropical dry forests. Biotropica37, 508-19.
44.
Flemons, P., Guralnick, R., Krieger, J., Ranipeta, A. and Neufeld, D.2007: A web-based GIS tool for exploring the world's biodiversity: the Global Biodiversity Information Facility Mapping and Analysis Portal Application (GBIF-MAPA). Ecological Informatics2, 49-60.
45.
Foody, G.M.2005: Mapping the richness and composition of British breeding birds from coarse spatial resolution satellite sensor imagery. International Journal of Remote Sensing26, 3943-56.
46.
- 2008: Refining predictions of climate change impacts on plant species distribution through the use of local statistics. Ecological Informatics, DOI: 10.1016/ j.ecoinf.2008.02.002.
47.
Foody, G.M. and Cutler, M.E.J.2003: Tree biodiversity in protected and logged Bornean tropical rain forests and its measurement by satellite remote sensing. Journal of Biogeography30, 1053-66.
48.
Foody, G.M. and Doan, H.T.X.2007: Variability in soft classification prediction and its implications for sub-pixel scale change detection and super resolution mapping . Photogrammetric Engineering and Remote Sensing73, 923-33.
49.
Foody, G.M., Boyd, D.S. and Sanchez-Hernandez, C.2007: Mapping a specific class with an ensemble of classifiers. International Journal of Remote Sensing28, 1733-46. Fotheringham, A.S., Brunsdon, C. and Charlton, M.2002: Geographically weighted regression. The analysis of spatially varying relationships . Chichester: Wiley .
50.
Franklin, S.E.2000: Remote sensing for sustainable forest management . Boca Raton, FL: Lewis Publishers .
51.
Friedlander, A.M., Brown, E.K. and Monaco, M.E.2007: Coupling ecology and GIS to evaluate efficacy of marine protected areas in Hawaii. Ecological Applications17, 715-30.
52.
Fuller, R.M., Devereux, B.J., Gillings, S., Hill, R.A. and Amable, G.S.2007: Bird distributions relative to remotely sensed habitats in Great Britain: towards a framework for national modelling. Journal of Environmental Management84, 586-605.
53.
Garzon, M.B., de Dios, R.S. and Ollero, H.S.2007: Predictive modelling of tree species distributions on the Iberian Peninsula during the last glacial maximum and mid-Holocene . Ecography30, 120-34.
54.
Gaston, K.J.2005: Biodiversity and extinction: species and people . Progress in Physical Geography29, 239-47.
55.
Geerling, G.W., Labrador-Garcia, M., Clevers, J.G.P.W., Ragas, A.M.J. and Smits, A.J.M.2007: Classification of floodplain vegetation by data fusion of spectral (CASI) and LiDAR data. International Journal of Remote Sensing28, 4263-84.
56.
Gillespie, T.W.2005: Predicting woody-plant species richness in tropical dry forests: a case study from south Florida, USA. Ecological Applications15, 27-37.
57.
Goates, M.C., Hatcha, K.A. and Eggett, D.L.2007: The need to ground truth 30.5 m buffers: a case study of the boreal toad (Bufo boreas). Biological Conservation138, 474-83.
58.
Goetz, S., Steinberg, D., Dubayah, R. and Blair, B.2007: Laser remote sensing of canopy habitat heterogeneity as a predictor of bird species richness in an eastern temperate forest, USA . Remote Sensing of Environment108, 254-63.
59.
Gontier, M., Balfors, B. and Mortberg, U.2006: Biodiversity in environmental assessment - current practice and tools for prediction. Environmental Impact Assessment Review26, 268-86.
60.
Goodwin, N., Turner, R. and Merton, R.2005: Classifying Eucalyptus forests with high spatial and spectral resolution imagery: an investigation of individual species and vegetation communities. Australian Journal of Botany53, 337-45.
61.
Gould, W.2000: Remote sensing of vegetation, plant species richness, and regional biodiversity hotspots. Ecological Applications10, 1861-70.
62.
Graham, J., Newman, G., Jarnevich, C., Shory, R. and Stohlgren, T.J.2007: A global organism detection and monitoring system for non-native species. Ecological Informatics2, 177-83.
63.
Greene, S.L., Minoura, T., Steiner, J.J. and Pentacost, G.2007: WebGRMS: Prototype software for web-based mapping of biological collections. Biodiversity and Conservation16, 2611-25.
64.
Griffiths, G.H., Lee, J. and Eversham, B.C.2000: Landscape pattern and species richness; regional scale analysis from remote sensing. International Journal of Remote Sensing21, 2685-704.
65.
Haara, A. and Haarala, M.2002: Tree species classification using semi-automatic delineation of trees on aerial images. Scandinavian Journal of Forest Research17, 556-65.
66.
Hamann, M.L. and Wang, T.L.2006: Potential effects of climate change on ecosystem and tree species distribution in British Columbia. Ecology87, 2773-86.
67.
Hampe, A.2004: Bioclimate envelope models: what they detect and what they hide. Global Ecology and Biogeography13, 469-71.
Harris, R.J. and Reed, J.M.2002: Behavioral barriers to non-migratory movements of birds . Annales Zoologici Fennici39, 275-90.
70.
Heikkinen, R.K., Luoto, M., Araujo, M.B., Virkkala, R., Thuiller, W. and Sykes, M.T.2006: Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in Physical Geography30, 751-77.
71.
Hilli, M., Kuitunen, M.T. and Suhonen, J.2007: The effect of land use change on the vascular plant species turnover in boreal lakes. Biodiversity and Conservation16, 3951-62.
72.
Hinsley, S.A., Hill, R.A., Bellamy, P.E. and Balzter, H.2006: The application of lidar in woodland bird ecology: climate, canopy structure, and habitat quality. Photogrammetric Engineering and Remote Sensing72, 1399-406.
73.
Holmgren, J. and Persson, A.2003: Identifying species of individual trees using airborne laser scanner. Remote Sensing of Environment90, 415-23.
74.
Hurtt, G., Xiao, X.M., Keller, M., Palace, M., Asner, G.P., Braswell, R., Brondizio, E.S., Cardoso, M., Carvalho, C.J.R., Fearon, M.G., Guild, L., Hagen, S., Hetrick, S., Moore, B., Nobre, C., Read, J.M., Sa, T., Schloss, A., Vourlitis, G. and Wickel, A.J.2003: IKONOS imagery for the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA). Remote Sensing of Environment88, 111-27.
75.
Janetos, A.C. and Justice, C.O.2000: Land cover and global productivity: a measurement strategy for the NASA programme. International Journal of Remote Sensing21, 1491-512.
76.
Kakembo, V., Palmer, A. and Rowntree, K.2007: The use of high resolution camera imagery to characterise the distribution of Pteronia incana invader species in Ngqushwa (formerly Peddie) district, Eastern Cape, South Africa. International Journal of Remote Sensing27, 2735-52.
77.
Kameyama, S., Fukishima, M., Han, M. and Kaneki, M.2007: Spatio-temporal changes on habitat potential of endangered freshwater fish in Japan. Ecological Informatics2, 318-27.
78.
Karnatak, H.C., Saran, S., Bhatia, K. and Roy, P.S.2007: Multicriteria spatial decision analysis in web GIS environment . Geoinformatica11, 407-29.
79.
Karpouzi, V.S., Watson, R. and Pauly, D.2007: Modelling and mapping resource overlap between seabirds and fisheries on a global scale: a preliminary assessment. Marine Ecology-Progress Series 343, 87-99.
80.
Kayhko, N. and Skanes, H.2006: Change trajectories and key biotopes - assessing landscape dynamics and sustainability. Landscape and Urban Planning75, 300-21.
81.
Kerr, J.T. and Ostrovsky, M.2003: From space to species: ecological applications for remote sensing. Trends in Ecology and Evolution18, 299-305.
82.
Kerr, J.T., Southwood, T.R.E. and Cihlar, J.2001: Remotely sensed habitat diversity predicts butterfly species richness and community similarity in Canada. Proceedings of The National Academy of Sciences of the United States of America98, 11365-70.
83.
Kiage, L.M., Liu, K.B., Walker, N.D., Lam, N. and Huh, O.K.2007: Recent land-cover/use change associated with land degradation in the Lake Baringo catchment, Kenya, East Africa: evidence from Landsat TM and ETM. International Journal of Remote Sensing28, 4285-309.
84.
Knudby, A., LeDrew, E. and Newman, C.2007: Progress in the use of remote sensing for coral reef biodiversity studies. Progress in Physical Geography31, 421-34.
85.
Kral, K. and Pavlis, J.2006: The first detailed land-cover map of Socotra Island by Landsat/ETM+ data. International Journal of Remote Sensing27, 3239-50.
86.
Landenberger, R.E., McGraw, J.B., Warner, T.A. and Brandtberg, T.2003: Potential of digital color imagery for censusing Haleakala silverswords in Hawaii. Photogrammetric Engineering and Remote Sensing69, 915-23.
87.
Langford, W.T., Gergel, S.E., Dietterich, T.G. and Cohen, W.2006: Map misclassification can cause large errors in landscape pattern indices: examples from habitat fragmentation. Ecosystems9, 474-88.
88.
Lassau, S.A. and Hochuli, D.F.2007: Associations between wasp communities and forest structure: do strong local patterns hold across landscapes? Austral Ecology32, 656-62.
89.
Leimgruber, P., Christen, C.A. and Laborderie, A.2005: The impact of Landsat satellite monitoring on conservation biology. Environmental Monitoring and Assessment106, 81-101.
90.
Leyequien, E., Verrelst, J., Slot, M., Schaepman-Strub, G., Heitkonig, I.M.A. and Skidmore, A.2007: Capturing the fugitive: applying remote sensing to terrestrial animal distribution and diversity. International Journal of Applied Earth Observation and Geoinformation9, 1-20.
91.
Lindell, C.A., Riffell, S.K., Kaizer, S.A., Battin, A.L., Smith, M.L. and Sisk, T.D.2007: Edge responses of tropical and temperate birds . Wilson Journal of Ornithology119, 205-20.
92.
Lopez-Lopez, P., Garcia-Ripolles, C., Aguilar, J., Garcia-Lopez, F. and Verdejo, J.2006: Modelling breeding habitat preferences of Bonelli's eagle (Hieraaetus fasciatus) in relation to topography, disturbance, climate and land use at different spatial scales. Journal of Ornithology147, 97-106.
93.
Lopez-Lopez, P., Garcia-Ripolles, C., Soutullo, A., Cadahia, L. and Urios, V.2007: Are important bird areas and special protected areas enough for conservation?: the case of Bonelli's eagle in a Mediterranean area. Biodiversity and Conservation16, 3755-80.
94.
Lu, D. and Weng, Q.2007: A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing28, 823-70.
95.
Lung, T. and Schaab, G.2006:Assessingfragmentation and disturbance of west Kenyan rainforests by means of remotely sensed time series data and landscape metrics . African Journal of Ecology44, 491-506.
96.
Luoto, M., Kuussaari, M. and Toivonen, T.2002: Modelling butterfly distribution based on remote sensing data. Journal of Biogeography29, 1027-37.
97.
Luoto, M., Poyry, J., Heikkinen, R.K. andSaarinen, K.2005: Uncertainty of bioclimate envelope models based on the geographical distribution of species. Global Ecology and Biogeography14, 575-84.
98.
Luoto, M., Virkkala, R. and Heikkinen, R.K.2007: The role of land cover in bioclimatic models depends on spatial resolution. Global Ecology and Biogeography16, 34-42.
99.
Luoto, M., Virkkala, R., Heikkinen, R.K. and Rainio, K.2004: Predicting bird species richness using remote sensing in boreal agricultural-forest mosaics. Ecological Applications14, 1946-62.
100.
Mang, W.G., Hu, Y.M., Chen, B.Y., Tang, H., Xu,C.G., Qi, D.W. and Hu, J.C.2007: Evaluation of habitat fragmentation of giant panda (Ailuropoda melanoleuca) on the north slopes of Daxiangling Mountains, Sichuan province, China. Animal Biology57, 485-500.
101.
Menon, S., Pontius, R.G., Rose, J., Khan, M.L. and Bawa, K.S.2001: Identifying conservation-priority areas in the tropics: a land-use change modeling approach. Conservation Biology15, 501-12.
102.
Millington, A.C., Velez-Liendo, X.M. and Bradley, A.V.2003: Scale dependence in multitemporal mapping of forest fragmentation in Bolivia: implications for explaining temporal trends in landscape ecology and applications to biodiversity conservation. ISPRS Journal of Photogrammetry and Remote Sensing57, 289-99.
103.
Muldavin, E.H., Neville, P. and Harper, G.2001: Indices of grassland biodiversity in the Chihuahuan Desert ecoregion derived from remote sensing. Conservation Biology15, 844-55.
104.
Munoz-Villers, L.E. and Lopez-Blanco, J.2008: Land use/cover changes using Landsat TM/ETM images in a tropical and biodiverse mountainous area of central-eastern Mexico. International Journal of Remote Sensing29, 71-93.
105.
Murphy, P.N.C., Ogilvie, J., Connor, K. and Arpl, P.A.2007: Mapping wetlands: a comparison of two different approaches for New Brunswick, Canada. Wetlands27, 846-54.
106.
Nagendra, H.2001: Using remote sensing to assess biodiversity. International Journal of Remote Sensing22, 2377-400.
107.
Nagendra, H., Tucker, C., Carlson, L., Southworth, J., Karmacharya, M. and Karna, B.2004: Monitoring parks through remote sensing: studies in Nepal and Honduras. Environmental Management34, 748-60.
108.
Nogues-Bravo, D. and Agirre, A.2006: Modelling the spatial location of Dupont Lark Chersophilus duponti during the breeding session in the Ablitas Natura Network area (Navarra) . Ardeola53, 55-68.
109.
Oindo, B.O. and Skidmore, A.K.2002: Interannual variability of NDVI and species richness in Kenya. International Journal of Remote Sensing23, 285-98.
110.
Osborne, P.E., Foody, G.M. and Suarez-Seoane, S.2007a: Non-stationarity and local approaches to modelling the distributions of wildlife. Diversity and Distributions13, 313-23.
111.
Osborne, P.E., Suarez-Seoane, S. and Alonso, J.C.2007b: Behavioural mechanisms that undermine species envelope models: the causes of patchiness in the distribution of great bustards Otis tarda in Spain. Ecography30, 819-28.
112.
Pearson, R.G. and Dawson, T.P.2003: Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography12, 361-71.
113.
Pearson, R.G., Thuiller, W., Araujo, M.B., Martinez-Meyer, E., Brotons, L., McClean, C., Miles, L., Segurado, P., Dawson, T.P. and Lees, D.C.2006: Model-based uncertainty in species range prediction . Journal of Biogeography33, 1704-11.
114.
Pennington, D.D.2007: Exploratory modelling of forest disturbance scenarios in central Oregon using computational experiments in GIS. Ecological Informatics2, 387-403.
115.
Putz, F.E., Blate, G.M., Redford, K.H., Fimbel, R. and Robinson, J.2001: Tropical forest management and conservation of biodiversity: an overview. Conservation Biology15, 7-20.
116.
Ramsey, E.W., Nelson, G.A., Sapkota, S.K., Seeger, E.B. and Martella, K.D.2002: Mapping Chinese tallow with color-infrared photography . Photogrammetric Engineering and Remote Sensing68, 251-55.
117.
Ranganathan, J., Chan, K.M.A. and Daily, G.C.2007: Satellite detection of bird communities in tropical countryside . Ecological Applications17, 1499-510.
118.
Read, J.M., Clark, D.B., Venticinque, E.M. and Moreira, M.P.2003: Application of merged 1-m and 4-m resolution satellite data to research and management in tropical forests. Journal of Applied Ecology40, 592-600.
119.
Richards, J.A.2005: Analysis of remotely sensed data: the formative decades and future. IEEE Transactions on Geoscience and Remote Sensing43, 422-32.
120.
Ricketts, T. and Imhoff, M.2003: Biodiversity, urban areas, and agriculture: locating priority ecoregions for conservation. Conservation Ecology8(2), 1-15.
121.
Rindfuss, R.R., Walsh, S.J., Turner, B.L., Fox, J. and Mishra, V.2004: Developing a science of land change: challenges and methodological issues. Proceedings of The National Academy of Sciences of the United States of America101, 13976-81.
122.
Rocchini, D.2007: Distance decay in spectral space in analysing ecosystem beta-diversity. International Journal of Remote Sensing28, 2635-44.
123.
Rocchini, D. and Ricotta, C.2007: Are landscapes as crisp as we may think? Ecological Modelling204, 535-39.
124.
Rocchini, D., Perry, G.L.W., Salerno, M., Maccherini, S. and Chiarucci, A.2006: Landscape change and the dynamics of open formations in a natural reserve. Landscape and Urban Planning77, 167-77.
125.
Rocchini, D., Ricotta, C. and Chiarucci, A.2007: Using satellite imagery to assess plant species richness: the role of multispectral systems. Applied Vegetation Science10, 325-31.
126.
Rouget, M.2003: Measuring conservation value at fine and broad scales: implications for a diverse and fragmented region, the Agulhas Plain . Biological Conservation112, 217-32.
127.
Rouget, M., Cowling, R.M., Vlok, J., Thompson, M. and Balmford, A.2006: Getting the biodiversity intactness index right: the importance of habitat degradation data. Global Change Biology12, 2032-36.
128.
Roy, P.S. and Tomar, S.2000: Biodiversity characterization at landscape level using geospatial modelling technique. Biological Conservation95, 95-109.
129.
Sanchez-Azofelfa, G.A., Castro, K.L., Rivard, B., Kalascka, M.R. and Harriss, R.C.2003: Remote sensing research priorities in tropical dry forest environments. Biotropica35, 134-42.
130.
Sanchez-Hernandez, C., Boyd, D.S. and Foody, G.M.2007: One-class classification for mapping a specific land-cover class: SVDD classification of fenland. IEEE Transactions on Geoscience and Remote Sensing45, 1061-73.
131.
Santos, X., Brito, J.C., Sillero, N., Pleguezuelos, J.M., Llorente, G.A., Fahd, S. and Parellada, X.2006: Inferring habitat-suitability areas with ecological modelling techniques and GIS: a contribution to assess the conservation status of Vipera latastei. Biological Conservation130, 416-25.
132.
Saura, S.2004: Effects of remote sensor spatial resolution and data aggregation on selected fragmentation indices. Landscape Ecology19, 197-209.
133.
Schmidtlein, S. and Sassin, J.2004: Mapping of continuous floristic gradients in grasslands using hyperspectral imagery. Remote Sensing of Environment92, 126-38.
134.
Scholes, R.J. and Biggs, R.2005: A biodiversity intactness index. Nature434, 45-49.
135.
Schulman, L., Ruokolainen, K., Junikka, L., Saaksjarvi, I.E., Salo, M., Juvonen, S.K., Salo, J. and Higgins, M.2007: Amazonian biodiversity and protected areas: do they meet ? Biodiversity and Conservation16, 3011-51.
136.
Scopelitis, J., Andrefouet, S. and Largouet, C.2007: Modelling coral reef habitat trajectories: evaluation of an integrated timed automata and remote sensing approach. Ecological Modelling205, 59-80.
137.
Sellars, J.D. and Jolls, C.L.2007: Habitat modeling for Amaranthus pumilus: an application of light detection and ranging (LIDAR) data. Journal of Coastal Research23, 1193-202.
138.
Seto, K.C., Fleishman, E., Fay, J.P. and Betrus, C.J.2004: Linking spatial patterns of bird and butterfly species richness with Landsat TM derived NDVI. International Journal of Remote Sensing25, 4309-324.
139.
Shi, H., Singh, A., Kant, S., Zhu, Z.L. and Waller, E.2005: Integrating habitat status, human population pressure, and protection status into biodiversity conservation priority setting. Conservation Biology19, 1273-85.
140.
Southworth, J., Nasendra, H. and Munroe, D.K.2006: Are parks working? Exploring human-environment tradeoffs in protected area conservation. Applied Geography26, 87-95.
141.
Sowa, S.P., Annis, G., Morey, M.E. and Diamond, D.D.2007: A gap analysis and comprehensive conservation strategy for riverine ecosystems of Missouri. Ecological Monographs77, 301-34.
142.
Spens, J., Englund, G. and Lundqvist, H.2007: Network connectivity and dispersal barriers: using geographical information system (GIS) tools to predict landscape scale distribution of a key predator (Esox lucius) among lakes. Journal of Applied Ecology44, 1127-37.
143.
Steven, M.D., Malthus, T.J., Baret, F., Xu, H. and Chopping, M.J.2003: Intercalibration of vegetation indices from different sensor systems. Remote Sensing of Environment88, 412-22.
144.
Swenson, D.P. and Ambrose, R.F.2007: A spatial analysis of cumulative habitat loss in Southern California under the Clean Water Act Section 404 program, Landscape and Urban Planning82, 41-55.
145.
Tchouto, M.G.P., Yemefack, M., de Boer, W.F., de Wilde, J.J.F.E., van der Maesen, L.J.G. and Cleef, A.M.2006: Biodiversity hotspots and conservation priorities in the Campo-Ma'an rain forests, Cameroon. Biodiversity and Conservation15, 1219-52.
146.
Thomson, A.G., Manchester, S.J., Swetnam, R.D., Smith, G.M., Wadsworth, R.A., Petit, S. and Gerard, F.F.2007: The use of digital aerial photography and CORINE-derived methodology for monitoring recent and historic changes in land cover near UK Natura 2000 sites for the BIOPRESS project. International Journal of Remote Sensing28, 5397-426.
147.
Toutin, T.2008: Fine spatial resolution optical sensors. In Warner, T.A.,Nellis, D. and Foody, G.M., editors, Handbook of remote sensing, London: Sage, in press.
148.
Treuhaft, R.N., Law, B.E. and Asner, G.P.2004: Forest attributes from radar interferometric structure and its fusion with optical remote sensing. Bioscience54, 561-71.
149.
Trisurat, Y., Eiumnoh, A., Murai, S., Hussain, M.Z. and Shrestha, R.P.2000: Improvement of tropical vegetation mapping using a remote sensing technique: a case of Khao Yai National Park, Thailand. International Journal of Remote Sensing21, 2031-42.
150.
Tsai, F., Lin, E.K. and Yoshino, K.2007: Spectrally segmented principal component analysis of hyperspectral imagery for mapping invasive plant species. International Journal of Remote Sensing28, 1023-39.
151.
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 Evolution18, 306-14.
152.
Underwood, E., Ustin, S. and DiPietro, D.2003: Mapping nonnative plants using hyperspectral imagery . Remote Sensing of Environment86, 150-61.
153.
van Aardt, J. and Wynne, R.H.2007: Examining pine spectral separability using hyperspectral data from an airborne sensor: an extension of field-based results. International Journal of Remote Sensing28, 431-36.
154.
Vogiatzakis, I.N., Mannion, A.M. and Griffiths, G.H.2006: Mediterranean ecosystems: problems and tools for conservation . Progress in Physical Geography30, 175-200.
155.
Wang, L., Sousa, W.P., Gong, P. and Biging, G.S.2004: Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama. Remote Sensing of Environment91, 432-40.
156.
Warren, A.J. and Collins, M.J.2007: A pixel-based semi-empirical system for predicting vegetation diversity in boreal forest. International Journal of Remote Sensing28, 83-105.
157.
Weber, K.T., Theau, J. and Serr, K.2008: Effect of coregistration error on patchy target detection using high-resolution imagery. Remote Sensing of Environment112, 845-50.
158.
Wilson, R.J., Thomas, C.D., Fox, R., Roy, D.B. and Kunin, W.E.S.2004: Spatial patterns in species distributions reveal biodiversity change. Nature432, 393-96.
159.
Wolman, A.G.2007: Measurement and meaning-fulness in conservation science . Conservation Biology20, 1626-34.
160.
Wood, L.J. and Dragicevic, S.2007: GIS-Based multicriteria evaluation and fuzzy sets to identify priority sites for marine protection. Biodiversity and Conservation16, 2539-58.
161.
Wright, S.J., Sanchez-Azofeifa, G.A., Portillo-Quintero, C. and Davies, D.2007: Poverty and corruption compromise tropical forest reserves . Ecological Applications17, 1259-66.
162.
Wulder, M.A., Hall, R.J., Coops, N.C. and Franklin, S.E.2004: High spatial resolution remotely sensed data for ecosystem characterization. Bioscience54, 511-21.
163.
Wulder, M.A., White, J.C., Goward, S.N., Masek, J.G., Irons, J.R., Herold, M., Cohen, W.B., Loveland, T.R. and Woodcock, C.E.2008: Landsat continuity: issues and opportunities for land cover monitoring. Remote Sensing of Environment112, 955-69.
164.
Yue, T.X., Ma, S.N., Wu, S.X. and Zhan, J.Y.2007: Comparative analyses of the scaling diversity index and its applicability. International Journal of Remote Sensing28, 1611-23.
165.
Zhang, J.T., Pennington, D.D. and Liu, X.H.2007: GBD-Explorer: extending open source java GIS for exploring ecoregion-based biodiversity data, Ecological Informatics2, 94-102.