A design for a sustained assessment of climate forcing and feedbacks related to land use and land cover change

Bulletin of the American Meteorological Society

Volumn 95, Issue 10, 2014, Pages 1563-1572

  Loveland, Thomas R ^a   Mahmood, Rezaul ^b  

^a U S GEOLOGICAL SURVEY   (United States)

^b WESTERN KENTUCKY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELS; LAND USE;

CLIMATE VARIABILITY; DIRECT OBSERVATIONS; HIGHER RESOLUTION; INFORMATION UPDATES; LAND ATMOSPHERE INTERACTION; LAND USE AND LAND COVER CHANGE; METEOROLOGICAL MODELS; SPATIALLY EXPLICIT;

CLIMATE CHANGE;

EID: 84919460196     PISSN: 00030007     EISSN: 15200477     Source Type: Journal    
DOI: 10.1175/BAMS-D-12-00208.1     Document Type: Article

References (50)

1. Arora, V. K., and G. J. Boer, 2010: Uncertainties in the 20th century carbon budget associated with land use change. Global Change Biol., 16, 3327-3348, doi:10.1111/j.1365-2486.2010.02202.x.
2. Bala, G., K. Caldeira, M. Wickett, T. J. Phillips, D. B. Lobell, C. Delire, and A. Mirin, 2007: Combined climate and carbon-cycle effects of large-scale deforestation. Proc. Nat. Acad. Sci., 104, 6550-6555, doi:10.1073/pnas.0608998104.
3. Beever, E. A., and A. Woodward, 2011a: Design of ecoregional monitoring in conservation areas of highlatitude ecosystems under contemporary climate change. Biol. Conserv., 144, 1258-1269, doi:10.1016/j.biocon. 2010.06.022.
4. -, and -, 2011b: Ecoregional-scale monitoring within conservation areas, in a rapidly changing climate. Biol. Conserv., 144, 1255-1257, doi:10.1016/j.biocon. 2011.04.001.
5. Bonan, G. B., 2008: Forests and climate change: Forcings, feedbacks, and the climate benefits of forests. Science, 320, 1444-1449, doi:10.1126/science.1155121.
6. Brovkin, V., and Coauthors, 2006: Biogeophysical effects of historical land cover changes simulated by six Earth system models of intermediate complexity. Climate Dyn., 26, 587-600, doi:10.1007/s00382-005-0092-6.
7. -, and Coauthors, 2013: Effect of anthropogenic land-use and land-cover changes on climate and land carbon storage in CMIP5 projections for the twentyfirst century. J. Climate, 26, 6859-6881, doi:10.1175/JCLI-D-12-00623.1.
8. Brown, J., B. Wardlow, T. Tadesse, M. Hayes, and B. Reed, 2008: The vegetation drought response index (VegDRI): A new integrated approach for monitoring drought stress in vegetation. GISci. Remote Sens., 45, 16-46, doi:10.2747/1548-1603.45.1.16.
9. Denman, K. L., and Coauthors, 2007: Couplings between changes in the climate system and biogeochemistry. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 499-587.
10. De Noblet-Ducoudre, N., and Coauthors, 2012: Determining robust impacts of land-use-induced land cover changes on surface climate over North America and Eurasia: Results from the first set of LUCID experiments. J. Climate, 25, 3261-3281, doi:10.1175/JCLI-D-11-00338.1.
11. Feddema, J. J., K. W. Oleson, G. B. Bonan, L. O. Mearns, L. E. Buja, G. A. Meehl, and W. M. Washington, 2005: The importance of land-cover change in simulating future climates. Science, 310, 1674-1678, doi:10.1126/science.1118160.
12. Fry, J. A., and Coauthors, 2011: Completion of the 2006 National Land Cover Database for the conterminous United States. Photogramm. Eng. Remote Sens., 77, 858-864.
13. Global Climate Observing System, 2010: Implementation plan for the Global Observing System for Climate in Support of the UNFCCC. World Meteorological Organization GCOS-138, 180 pp.
14. Herrick, J. E., V. C. Lessard, K. E. Spaeth, P. L. Shaver, R. S. Dayton, D. A. Pyke, L. Jolley, and J. J. Goebel, 2010: National ecosystem assessments supported by scientific and local knowledge. Front. Ecol. Environ., 8, 403-408, doi:10.1890/100017.
15. Hibbard, K., A. Janetos, D. P. Van Vuuren, J. Pongratz, S. K. Rose, R. Betts, M. Herold, and J. J. Feddema, 2010: Research priorities in land use and land-cover change for the Earth system and integrated assessment modelling. Int. J. Climatol., 30, 2118-2128, doi:10.1002/joc.2150.
16. Huang, C., S. N. Goward, J. G. Masek, N. Thomas, Z. Zhu, and J. E. Vogelmann, 2010: An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks. Remote Sens. Environ., 114, 183-198, doi: 10.1016/j.rse.2009.08.017.
17. Hurrell, J. W., and Coauthors, 2013: The Community Earth System Model: A framework for collaborative research. Bull. Amer. Meteor. Soc., 94, 1339-1360, doi:10.1175/BAMS-D-12-00121.1.
18. Justice, C. O., J. R. G. Townshend, E. F. Vermote, E. Masuoka, R. E. Wolfe, N. Saleous, D. P. Roy, and J. T. Morisette, 2002: An overview of MODIS land data processing and product status. Remote Sens. Environ., 83, 3-15, doi:10.1016/S0034-4257 (02) 00084-6.
19. Kennedy, R. E., Z. Yang, and W. B. Cohen, 2010: Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. Land Trendr-Temporal segmentation algorithms. Remote Sens. Environ., 114, 2897-2910, doi: 10.1016/j.rse.2010.07.008.
20. Knorn, J., A. Rabe, V. C. Radeloff, T. Kuemmerle, J. Kozak, and P. Hostert, 2009: Land cover mapping of large areas using chain classification of neighboring Landsat satellite images. Remote Sens. Environ., 113, 957-964, doi:10.1016/j.rse.2009.01.010.
21. Lebow, B., T. Patel-Weynand, T. Loveland, and R. Cantral, 2012: Land Use and Land Cover National Stakeholder Workshop. Tech. Rep. for the 2013 National Climate Assessment, 73 pp. [Available online at https://adapt.nd.edu/resources/1040/download/of2012-1155.pdf.]
22. Liu, J., and Coauthors, 2007: Complexity of coupled human and natural systems. Science, 317, 1513-1516, doi:10.1126/science.1144004.
23. Mahmood, R., and Coauthors, 2014: Land cover changes and their biogeophysical effects on climate. Int. J. Climatol, 34, 929-953, doi:10.1002/joc.3736.
24. McAlpine, C. A., and Coauthors, 2010: More than C02: A broader paradigm for managing climate change and variability to avoid ecosystem collapse. Curr. Opin. Environ. Sustainability, 2, 334-346, doi:10.1016/j.cosust.2010.10.001.
25. Melillo, J. M., T. Richmond, and G. W. Yohe. 2014: Climate Change Impacts in the United States: The Third National Climate Assessment. U. S. Global Change Research Program, 841 pp. [Available online at http://nca2014.globalchange.gov/report.]
26. Nelson, E., and Coauthors, 2009: Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Front. Ecol. Environ., 7, 4-11, doi:10.1890/080023.
27. NRC, 2001: Grand Challenges in Environmental Sciences. National Academies Press, 106 pp.
28. -, 2005: Radiative Forcing of Climate Change: Expanding the Concept and Addressing Uncertainties. National Academies Press, 224 pp.
29. -, 2014: Advancing Land Change Modeling: Opportunities and Research Requirements. National Academies Press, 152 pp.
30. O'Neill, B. C., E. Kriegler, K. Riahi, K. L. Ebi, S. Hallegatte, T. R. Carter, R. Mathur, and D. P. Van Vuuren, 2014: A new scenario framework for climate change research: The concept of shared socioeconomic pathways. Climatic Change, 122, 387-400, doi:10.1007/sl0584-013-0905-2.
31. Pielke, R. A., Sr., 2001: Influence of the spatial distribution of vegetation and soils on the prediction of cumulus convective rainfall. Rev. Geophys., 39, 151-177, doi:10.1029/1999RG000072.
32. -, and Coauthors, 2009: Climate change: The need to consider human forcings besides greenhouse gases. Eos, Trans. Amer. Geophys. Union, 90, 413, doi:10.1029/2009E0450008.
33. Pitman, A. J., and Coauthors, 2009: Uncertainties in climate responses to past land cover change: First results from the LUCID intercomparison study. Geophys. Res. Lett., 36, L14814, doi:10.1029/2009GL039076.
34. Rindfuss, R. R., S. J. Walsh, B. L. Turner II, J. Fox, and V. Mishra, 2004: Developing a science of land change: Challenges and methodological issues. Proc. Natl. Acad. Sci. USA, 101, 132976-132981, doi:10.1073/pnas.0401545101.
35. Roy, D. P., and Coauthors, 2010: Web-Enabled Landsat Data (WELD): Landsat ETM+ composited mosaics of the conterminous United States. Remote Sens. Environ., 114, 35-49, doi:10.1016/j.rse.2009.08.011.
36. Shevliakova, E., and Coauthors, 2009: Carbon cycling under 300 years of land use change: Importance of the secondary vegetation sink. Global Biogeochem. Cycles, 23, GB2022, doi:10.1029/2007GB003176.
37. Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-475+STR, 113 pp. [Available online at www.mmm.ucar.edu/wrf/users/docs/arw-v3-bw.pdf.]
38. Sleeter, B. M., and Coauthors, 2012: Scenarios of land use and land cover change in the conterminous United States: Utilizing the special report on emissions scenarios at ecoregional scales. Global Environ. Change, 22, 896-914, doi:10.1016/j.gloenvcha.2012.03.008.
39. Sohl, T. L., and K. Sayler, 2008: Using the FORESCE model to project land-cover change in the southeastern United States. Ecol. Modell, 219, 49-65, doi:10.1016/j.ecolmodel.2008.08.003.
40. -, T. R. Loveland, B. M. Sleeter, K. L. Sayler, and C. A. Barnes, 2010: Addressing foundational elements of regional land-use change forecasting. Landscape Ecol, 25, 233-247, doi:10.1007/sl0980-009-9391-3.
41. Stoddard, J. L., D. P. Larsen, C. P. Hawkins, R. K. Johnson, and R. H. Norris, 2006: Setting expectations for the ecological condition of streams: The concept of reference condition. Ecol. Appl., 16, 1267-1276, doi: 10.1890/1051-0761 (200 6) 016 [1267:SEFTEC] 2.0. CO;2.
42. Trenberth, K. E., 2011: Challenges in GEWEX. GEWEX News, No. 4, International GEWEX Project Office, Silver Spring, MD, 2-3.
43. Turner, B. L., II, E. F. Lambin, and A. Reenberg, 2007: The emergence of land change science for global environmental change and sustainability. Proc. Natl. Acad. Sci. USA, 104, 20 667-20 671, doi:10.1073/pnas.0704119104.
44. U. S. Climate Change Science Program, 2003: Strategic Plan for the U. S. Climate Change Science Program. Climate Change Science Program and Subcommittee on Global Change Research, 202 pp.
45. U. S. Environmental Protection Agency, 2009: Land-use scenarios: National-scale housing-density scenarios consistent with climate change storylines. Global Change Research Program, National Center for Environmental Assessment, Final Rep. EPA/600/R-08/076F, 137 pp.
46. Van Vuuren, D. P., and Coauthors, 2011: The representative concentration pathways: An overview. Climatic Change, 109, 5-31, doi:10.1007/sl0584-011-0148-z.
47. Werner, B. T., and D. E. McNamara, 2007: Dynamics of coupled human-landscape systems. Geomorphology, 91, 393-407, doi:10.1016/j.geomorph.2007.04.020.
48. West, J. M., S. H. Julius, P. Kareiva, C. Enquist, J. J. Lawler, B. Petersen, A. E. Johnson, and M. R. Shaw, 2009: U. S. natural resources and climate change: Concepts and approaches for management adaptation. Environ. Manage., 44, 1001-1021, doi:10.1007/s0 0267-0 09-9345-1.
49. Zhu, Z., and Coauthors, 2010: A method for assessing carbon stocks, carbon sequestration, and greenhouse-gas fluxes in ecosystems of the United States under present conditions and future scenarios. U. S. Geological Survey Scientific Investigations Rep. 2010-5233, 190 pp. [Available online at http://pubs.usgs.gov/sir/2010/5233/pdf/sir2010-5233.pdf.]
50. -, C. E. Woodcock, and P. Olofsson, 2012: Continuous monitoring of forest disturbance using all available Landsat imagery. Remote Sens. Environ., 122, 75-91, doi:10.1016/j.rse.2011.10.030.