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Bergen, K. M., S. Goetz, R. O. Dubayah, G. M. Henebry, C. T. Hunsacker, M. L. Imhoff, R. F. Nelson, G. G. Parker, and V. C. Radeloff. 2009. Remote sensing of vegetation 3D structure for biodiversity and habitat: review and implications for LiDAR-RaDAR spaceborne missions. Journal of Geophysical Research, 114: G00E06.
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Betts, M. G. C.Wolf, …A. Pidgeon, … R. M. Ewers (40 authors total). 2019. Extinction filters mediate the global effects of fragmentation. Science 336, 1236-1239
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Brum, F. T., C. H. Graham, G. C. Costa, S. B. Hedges, C. Penone, V. C. Radeloff, C. Rondinini, R. Loyola, and A. D. Davidson. 2017. Global priorities for conservation across multiple dimensions of mammalian diversity. Proceedings of the National Academy of Sciences, 114(29): 7641-7646.
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Burivalova, Z., S. J. Hart, V. C. Radeloff, and U. Srinivasan. 2021. Early warning signs of forest loss in protected areas. Current Biology, 31, 1-7.
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Butsic, V., D. Lewis, V. C. Radeloff, M. Baumann, and T. Kuemmerle. 2017. Quasi-experimental methods enable stronger inferences from observational data in ecology. Basic and Applied Ecology, 19: 1-10.
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Butsic, V., V. C. Radeloff, T. Kuemmerle, and A. M. Pidgeon. 2012. Analytical Solutions to Trade-Offs between Size of Protected Areas and Land-Use Intensity. Conservation Biology, 26(5):883-893.
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Coops, N. C., S. Kearny, D. K. Bolton, and V. C. Radeloff. 2018. Remotely-sensed productivity clusters capture global biodiversity patterns. Scientific Reports, 8: 16261.
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Coops, N.C., D.K. Bolton, M.L. Hobi and V.C. Radeloff. 2019. Untangling multiple species richness hypothesis globally using remote sensing habitat indices. Ecological Indicators. 105567.
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Crawford, C. L., H. Yin, V. C. Radeloff, and D. S. Wilcove. 2022. Rural land abandonment is too ephemeral to provide major benefits for biodiversity and climate. Science Advances, 8: eabm8999.
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Davidson, A. D., K. T. Shoemaker, B. Weinstein, G. C. Costa, T. M. Brooks, G. Ceballos, V. C. Radeloff, C. Rondinini, and C. H. Graham. 2017. Geography of current and future global mammal extinction risk. PLoS ONE, 12(11): e0186934.
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Field, D.R., P.R. Voss, T.K. Kuczenski, R.B. Hammer, and V.C. Radeloff. 2003. Reaffirming social landscape analysis in landscape ecology: a conceptual framework. Society & Natural Resources 16: 349-361.
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Gudex-Cross, D., L. Zhu, S. R. Keyser, B. Zuckerberg, J. N. Pauli, and V. C. Radeloff. 2022. Winter conditions structure extratropical patterns of species richness of amphibians, birds, and mammals globally. Global Ecology and Biogeography, 31: 1366-1380.
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Holt, B. G., G. C. Costa, C. Penone, J.-P. Lessard, T. M. Brooks, A. D. Davidson, S. B. Hedges, V. C. Radeloff, C. Rahbek, C. Rondinini, and C. H. Graham. 2018. Environmental variation is a major predictor of global trait turnover in mammals. Journal of Biogeography, 45: 225-237.
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Huang, Q., J. Xu, J. P. Wong, V. C. Radeloff, and M. Songer. 2023. Prioritizing global tall forest toward the 30-by-30 goals. Conservation Biology, 37(6): e14135.
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Ives, A. R., L. Zhu, F. Wang, J. Zhu, C. J. Morrow, and V. C. Radeloff. 2022. Statistical tests for non-independent partitions of large autocorrelated datasets. MethodsX, 9: 101660.
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Ives, A.R., Zhu, L., Wang, F., Zhu, J., Morrow, C.J., Radeloff, V.C. 2021. Statistical inference for trends in spatiotemporal data, Remote Sensing of Environment 266 (2021) 112678.
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Johnston, C. and V. C. Radeloff. 2019. Global mitigation potential of carbon stored in harvested wood products. Proceedings of the National Academy of Sciences, 116(29):14526-14531.
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Lewińska, K.E., Ives, A.R., Morrow, C.J., Rogova, N., Yin, H., Elsen, P.R., de Beurs, K., Hostert, P., Radeloff., V.C. 2023. Beyond “greening” and “browning”: Trends in grassland ground cover fractions across Eurasia that account for spatial and temporal autocorrelation. Global Change Biology 2023;00:1–18.
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Li, K., J. Zhu, A. R. Ives, V. C. Radeloff, and F. Wang. 2023. Semiparametric regression for spatial data via deep learning. Spatial Statistics, 57: 100777.
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Marin, J., G. Rapacciulo, G. C. Costa, C. H. Graham, T. M. Brooks, B. E. Young, V. C. Radeloff, J. E. Behm, M. R. Helmus, and S. B. Hedges. 2018. Evolutionary time drives global tetrapod diversity. Proceedings of the Royal Society B, 285: 20172378.
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Mockrin, M. H., D. Helmers, T. J. Hawbaker, and V. C. Radeloff. 2022. Growth of the wildland-urban interface within and around U.S. National Forests and Grasslands, 1990-2010. Landscape and Urban Planning, 218: 104283.
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Munteanu, C., B. M. Kraemer, H. H. Hansen, S. Miguel, E. J. Milner-Gulland, M. Nita, V. C. Radeloff, S. Roverelli, O. O. Shumilova, I. Storch, T. Kuemmerle. 2024. The potential of historical spy-satellite imagery to support research in ecology and conservation. BioScience, 74(3): 159-168.
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Neumann, W., S. Martinuzzi, A. B. Estes, A. M. Pidgeon, H. Dettki, G. Ericsson, and V. C. Radeloff. 2015. Opportunities for the application of advanced remotely-sensed data in ecological studies of terrestrial animal movement. Movement Ecology, 3: 8.
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Radeloff, V. C., D. P. Roy, M. A. Wulder, M. Anderson, B. Cook, C. J. Crawford, M. Friedl, F. Gao, N. Gorelick, M. Hansen, S. Healey, P. Hostert, G. Hulley, J. L. Huntington, D. M. Johnson, C. Neigh, A. Lyapustin, L. Lymburner, N. Pahlevan, J.-F. Pekel, T. A. Scambos, C. Schaaf, P. Strobl, C. E. Woodcock, H. K. Zhang, and Z. Zhu. 2024. Need and vision for global medium-resolution Landsat and Sentinel-2 data products. Remote Sensing of Environment, 300: 113918.
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Radeloff, V. C., F. Beaudry, T. M. Brooks, V. Butsic, M. Dubinin, T. Kuemmerle, and A. M. Pidgeon. 2013. Hot moments for biodiversity conservation. Conservation Letters, 6(1):58-65.
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Radeloff, V. C., M. Dubinin, N. C. Coops, A. Allen, T. M. Brooks, M. Clayton, G. Costa, C. H. Graham, D. Helmers, A. R. Ives, D. Kolesov, A. M. Pidgeon, G. Rapacciuolo, E. Razenkova, N. Suttidate, B. E. Young, L. Zhu, and M. Hobi. 2019. The Dynamic Habitat Indices (DHIs) from MODIS and global biodiversity. Remote Sensing of Environment, 222: 204-214
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Radeloff, V. C., T. F. Miller, H. S. He, and D. J. Mladenoff. 2000. Periodicity in spatial data and geostatistical models: autocorrelation between patches. Ecography 23, no. 1:81-91.,See PDF for Abstract
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Rissman, A., L. Barrow, K. Burke, J. Chandler, K. Geleynse, H. Kramer, K. Kaushman, A. L'Roe, V. C. Radeloff, P. Schilke, A. Schomaker, W. Selles, R. Toczydlowski, and C. Wardropper. 2018. Forest management for novelty, persistence, and restoration influenced by policy and society. Frontiers in Ecology and the Environment, 16(8): 453-462.
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Rose, R. A., D. Byler, J. R. Eastman, E. Fleishman, G.Geller, S. Goetz, L. Guild, H. Hamilton, M. Hansen, R. Headley, J. Hewson, N. Horning, B. A. Kaplin, N. Laporte, A. Leidner, A. Nadine, P. Leimgruber, J. Morisette, J. Musinsky, L. Pintea, A. Prados, V. C. Radeloff, M. Rowen, S. Saatchi, S. Schill, K. Tabor, W. Turner, A. Vodacek, J. Vogelmann, M. Wegmann, D. Wilkie, and C. Wilson. 2015. Ten ways remote sensing can contribute to conservation. Conservation Biology, 29(2): 350-359.
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Schug, F., A. Bar-Massada, A. R. Carlson, H. Cox, T. J. Hawbaker, D. Helmers, P. Hostert, D. Kaim, N. K. Kasraee, S. Martinuzzi, M. H. Mockrin, K. A. Pfoch, and V. C. Radeloff. 2023. The global wildland-urban interface. Nature, DOI: 10.1038/s41586-023-06320-0.
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Schug, F., K. A. Pfoch, V.-D. Pham, S. van der Linden, A. Okujeni, D. Frantz, and V. C. Radeloff. 2024. Land cover fraction mapping across global biomes with Landsat data, spatially generalized regression models and spectral-temporal metrics. Remote Sensing of Environment, 311: 114260.
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Silveira, E.M.O, Olimb, S., Plumb, G.E., Martin, J.M., Ranglack, D.H., Jorgensen, D., Kirilyuk, A., Rahmani, H., Radeloff, V.C.. Potential fence density in central and Western North America and implications for Bison (Bison bison) restoration. 2025. Biodiversity Conservation 307 (2025) 111194
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Ting Fung Ma, Fangfang Wang, Jun Zhu, Anthony R. Ives, Katarzyna E. Lewińska, 2022. Scalable Semiparametric Spatio-temporal Regression for Large Data Analysis, Journal of Agricultural, Biological, and Environmental Statistics.
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Zhu L., Ives AR, Zhang C, Guo Y, Radeloff VC (2019) Climate change causes functionally colder winters for snow cover-dependent organisms. Nature Climate Change, 2019.
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Zhu, L., V. C. Radeloff, and A. R. Ives. 2017. Characterizing global patterns of frozen ground with and without snow cover using microwave and MODIS satellite data products. Remote Sensing of Environment, 191: 168-178.
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Zhu, Z., M. A. Wulder, D. P. Roy, C. E. Woodcock, M. C. Hansen, V. C. Radeloff, S. P. Healey, C. Schaaf, P. Hostert, P. Strobl, J.-F. Pekel, L. Lymburner, N. Pahlevan, and T. A. Scambos. 2019. Benefits of the free and open Landsat data policy. Remote Sensing of Environment, 224: 382-385.