Tree cover and carbon mapping of Argentine savannas: Scaling from field to region

Remote Sensing of Environment

Volumn 172, Issue , 2016, Pages 139-147

  González Roglich, Mariano ^a   Swenson, Jennifer J ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

Caldenal; CBERS; Landsat; Prosopis caldenia; Random Forests; Rangeland

Indexed keywords

CLIMATE MODELS; DECISION TREES; DIGITAL STORAGE; ECOLOGY; ECOSYSTEMS; FORESTRY; OPTICAL RADAR; REMOTE SENSING;

CALDENAL; CBERS; LANDSAT; PROSOPIS CALDENIA; RANDOM FORESTS; RANGELAND;

C (PROGRAMMING LANGUAGE);

ALGORITHM; CARBON CYCLE; CARBON SEQUESTRATION; ECOLOGICAL MODELING; ECOSYSTEM MANAGEMENT; ENVIRONMENTAL MONITORING; IMAGE RESOLUTION; LANDSAT; MAPPING METHOD; REMOTE SENSING; SATELLITE IMAGERY; SAVANNA; SEMIARID REGION; VEGETATION COVER;

ARGENTINA;

PROSOPIS CALDENIA;

EID: 84947445067     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.11.021     Document Type: Article

References (64)

1. Alonso A.F. En el pais de los caldenes: Incorporación productiva y expansión económica en La Pampa. Huellas 2009, 13:204-236.
2. Anadon J.D., Sala O.E., Maestre F.T. Climate change will increase savannas at the expense of forests and treeless vegetation in tropical and subtropical Americas. Journal of Ecology 2014, 102:1363-1373.
3. Anderson D.M., Mauk E.M., Wahl E.R., Morrill C., Wagner A.J., Easterling D., Rutishauser T. Global warming in an independent record of the past 130years. Geophysical Research Letters 2013, 40:189-193.
4. Angelsen A., Brockhaus M., Sunderin W.D., Verchot L.V. Analysing REDD+, challenges and choices 2012, 456. Center for International Forestry Research, Indonesia.
5. Archer S. Rangeland conservation and shrub encroachment: New perspectives on an old problem. Rangelands or wildlands? 2010, Livestock and Wildlife in Semi-Arid Ecosystems.
6. Argentina Ley de presupuestos minimos de proteccion ambiental de los bosques nativos. Ley Nro. 26331 2007, Boletin Oficial, Buenos Aires. C.N. Argentino (Ed.).
7. Asner G.P., Knapp D.E., Martin R.E., Tupayachi R., Anderson C.B., Mascaro J., Silman M.R. Targeted carbon conservation at national scales with high-resolution monitoring. Proceedings of the National Academy of Sciences of the United States of America 2014, 111:E5016-E5022.
8. Baatuuwie N.B., Van Leeuwen L. Evaluation of three classifiers in mapping forest stand types using medium resolution imagery: A case study in the Offinso Forest District, Ghana. African Journal of Environmental Science and Technology 2011, 5:25-36.
9. Baccini A., Asner G.P. Improving pantropical forest carbon maps with airborne LiDAR sampling. Carbon Management 2013, 4:591-600.
10. Baccini A., Laporte N., Goetz S.J., Sun M., Dong H. A first map of tropical Africa's above-ground biomass derived from satellite imagery. Environmental Research Letters 2008, 3:9.
11. Baldi G., Paruelo J.M. Land-use and land cover dynamics in South American temperate grasslands. Ecology and Society 2008, 13.
12. Brannstrom C., Jepson W., Filippi A.M., Redo D., Xu Z.W., Ganesh S. Land change in the Brazilian Savanna (Cerrado), 1986-2002: Comparative analysis and implications for land-use policy. Land Use Policy 2008, 25:579-595.
13. Breiman L. Random forests. Machine Learning 2001, 45:5-32.
14. Brosofske K.D., Froese R.E., Falkowski M.J., Banskota A. A review of methods for mapping and prediction of inventory attributes for operational forest management. Forest Science 2014, 60:733-756.
15. Cabrera A.L. Enciclopedia Argentina de agricultura y jardinería, Tomo II, Fascículo 1: Regiones fitogeográficas Argentinas 1994, Acme, Buenos Aires.
16. Cano E., Fernández B., Montes A. Inventario integrado de los recursos naturales de la provincia de La Pampa 1980, UNLPam, Gobierno de La Pampa e INTA, Buenos Aires.
17. Carreiras J.M.B., Melo J.B., Vasconcelos M.J. Estimating the above-ground biomass in Miombo Savanna Woodlands (Mozambique, East Africa) using L-band synthetic aperture radar data. Remote Sensing 2013, 5:1524-1548.
18. Carreiras J.M.B., Pereira J.M.C., Pereira J.S. Estimation of tree canopy cover in evergreen oak woodlands using remote sensing. Forest Ecology and Management 2006, 223:45-53.
19. Crist E.P. A TM Tasseled cap equivalent transformation for reflectance data. Remote Sensing of Environment 1985, 17:301-306.
20. Crist E.P., Kauth R.J. The tasseled cap de-mystified. Photogrammetric Engineering and Remote Sensing 1986, 52:81-86.
21. Dech J.P., Mayhew-Hammond S., James A.L., Pokharel B. Modeling Canada yew (Taxus canadensis Marsh.) distribution and abundance in the boreal forest of northeastern Ontario, Canada. Ecological Indicators 2014, 36:48-58.
22. Don A., Schumacher J., Freibauer A. Impact of tropical land-use change on soil organic carbon stocks - A meta-analysis. Global Change Biology 2011, 17:1658-1670.
23. Dymond C.C., Mladenoff D.J., Radeloff V.C. Phenological differences in Tasseled Cap indices improve deciduous forest classification. Remote Sensing of Environment 2002, 80:460-472.
24. Evans J.S., Cushman S.A. Gradient modeling of conifer species using random forests. Landscape Ecology 2009, 24:673-683.
25. Falkowski M.J., Evans J.S., Martinuzzi S., Gessler P.E., Hudak A.T. Characterizing forest succession with lidar data: An evaluation for the Inland Northwest, USA. Remote Sensing of Environment 2009, 113:946-956.
26. Fox J., Sanford W. Bootstrapping regression models in R. An R companion to applied regression 2012, 472. Sage, Thousand Oaks, CA.
27. Freund R.J., Wilson W.J. Statistical methods 2003, Academic Press, San Diego, California.
28. Gislason P.O., Benediktsson J.A., Sveinsson J.R. Random Forests for land cover classification. Pattern Recognition Letters 2006, 27:294-300.
29. González-Roglich M., Swenson J.J., Jobbagy E., Jackson R.B. Shifting carbon pools along a plant cover gradient in woody encroached savannas of central Argentina. Forest Ecology and Management 2014, 331:71-78.
30. González-Roglich M., Swenson J.J., Villarreal D., Jobbagy E., Jackson R.B. Woody plant-cover dynamics in Argentine savannahs from the 1880s to 2000s: The interplay of encroachment and agriculture conversion at varying scales. Ecosystems 2015, 18:481-492.
31. Guisan A., Zimmermann N.E. Predictive habitat distribution models in ecology. Ecological Modelling 2000, 135:147-186.
32. Hijmans R.J., Cameron S.E., Parra J.L., Jones P.G., Jarvis A. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 2005, 25:1965-1978.
33. Hoffmann W.A., Jackson R.B. Vegetation-climate feedbacks in the conversion of tropical savanna to grassland. Journal of Climate 2000, 13:1593-1602.
34. Holdo R.M., Holt R.D., Fryxell J.M. Grazers, browsers, and fire influence the extent and spatial pattern of tree cover in the Serengeti. Ecological Applications 2009, 19:95-109.
35. Hudak A.T., Crookston N.L., Evans J.S., Hall D.E., Falkowski M.J. Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data. Remote Sensing of Environment 2008, 112:2232-2245.
36. INPE China-Brazil earth resource satellite - 2B 2015, (In).
37. Karpievitch Y.V., Hill E.G., Leclerc A.P., Dabney A.R., Almeida J.S. An introspective comparison of random forest-based classifiers for the analysis of cluster-correlated data by way of RF plus. PLoS One 2009, 4.
38. Kennedy R.E., Andrefouet S., Cohen W.B., Gomez C., Griffiths P., Hais M., Zhu Z. Bringing an ecological view of change to Landsat-based remote sensing. Frontiers in Ecology and the Environment 2014, 12:339-346.
39. Kuenzer C., Ottinger M., Wegmann M., Guo H.D., Wang C.L., Zhang J.Z., Wikelski M. Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks. International Journal of Remote Sensing 2014, 35:6599-6647.
40. Lemmon P.E. A spherical densiometer for estimating forest overstory density. Forest Science 1956, 2:314-320.
41. Liaw A., Wiener M. Classification and regression by randomForest. R News 2002, 2:18-22.
42. Lucas R.M., Lee A.C., Amston J., Carreiras J.M.B., Viergever K.M., Bunting P., Woodhouse I. Quantifying carbon in savannas: The role of active sensors in measurements of tree structure and biomass. Ecosystem function in savannas 2011, Florida, Tylor and Francis Group. M.J. Hill, N.P. Hanan (Eds.).
43. Marotzke J., Forster P.M. Forcing, feedback and internal variability in global temperature trends. Nature 2015, 517:565-570.
44. McDowell N.G., Coops N.C., Beck P.S.A., Chambers J.Q., Gangodagamage C., Hicke J.A., Allen C.D. Global satellite monitoring of climate-induced vegetation disturbances. Trends in Plant Science 2015, 20:114-123.
45. McGlinchy J., van Aardt J.A.N., Erasmus B., Asner G.P., Mathieu R., Wessels K., Cawse-Nicholson K. Extracting structural vegetation components from small-footprint waveform Lidar for biomass estimation in savanna ecosystems. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2014, 7:480-490.
46. Medina A.A. Reconstrucción de los regímenes de fuego en un bosque de Prosopis caldenia, provincia de La Pampa, Argentina. Bosque 2007, 28:234-240.
47. Mendez J.L. Primer inventario nacional de bosques nativos: Inventario de campo de la región del Espinal 2007, 236. Dirección nacional de bosques, Buenos Aires.
48. Mora B., Wulder M.A., White J.C. Identifying leading species using tree crown metrics derived from very high spatial resolution imagery in a boreal forest environment. Canadian Journal of Remote Sensing 2010, 36:332-344.
49. Murphy M.A., Evans J.S., Storfer A. Quantifying Bufo boreas connectivity in Yellowstone National Park with landscape genetics. Ecology 2010, 91:252-261.
50. Naito A.T., Cairns D.M. Patterns and processes of global shrub expansion. Progress in Physical Geography 2011, 35:423-442.
51. NASA Shuttle radar topography mission version 3 global 1 arc second 2014, (http://earthexplorer.usgs.gov/).
52. Patenaude G., Milne R., Dawson T.P. Synthesis of remote sensing approaches for forest carbon estimation: reporting to the Kyoto Protocol. Environmental Science & Policy 2005, 8:161-178.
53. Piramuthu S. Input data for decision trees. Expert Systems with Applications 2008, 34:1220-1226.
54. R Core Team (2015). R: A language and environment for statistical computing. In V. R Foundation for Statistical Computing, Austria. (Ed.).
55. Reichstein M., Bahn M., Ciais P., Frank D., Mahecha M.D., Seneviratne S.I., Wattenbach M. Climate extremes and the carbon cycle. Nature 2013, 500:287-295.
56. Saatchi S.S., Harris N.L., Brown S., Lefsky M., Mitchard E.T.A., Salas W., Morel A. Benchmark map of forest carbon stocks in tropical regions across three continents. Proceedings of the National Academy of Sciences of the United States of America 2011, 108:9899-9904.
57. Soriano A., Leon R.J.C., Sala O.E., Lavado R.S., Deregibus V.A., Cahuepe M.A., Lemcoff J.H. Rio de la Plata grasslands. Ecosystems of the world 8A 1991, 367-407. Elsevier. R.T. Coupland (Ed.).
58. Staver A.C., Archibald S., Levin S.A. The global extent and determinants of savanna and forest as alternative biome states. Science 2011, 334:230-232.
59. Strobl C., Boulesteix A.-L., Kneib T., Augustin T., Zeileis A. Conditional variable importance for random forests. BMC Bioinformatics 2008, 9.
60. Tonolli S., Dalponte M., Neteler M., Rodeghiero M., Vescovo L., Gianelle D. Fusion of airborne LiDAR and satellite multispectral data for the estimation of timber volume in the Southern Alps. Remote Sensing of Environment 2011, 115:2486-2498.
61. USGS Product guide: Landsat 4-7 climate data record (CDR) surface reflectance. Version 5.5. D.o.t.I.U.S.G. survey 2015, USGS (Ed.).
62. Wulder M.A., Bater C.W., Coops N.C., Hilker T., White J.C. The role of LiDAR in sustainable forest management. Forestry Chronicle 2008, 84:807-826.
63. Zink M. El poblamiento inicial de La Pampa según los principales sitios arqueológicos. Historia de La Pampa, sociedad, politica, economia, desde los poblamientos originales hasta la provincializacion: ca 8000 AP a 1952 2008, 660. Universidad Nacional de La Pampa, Santa Rosa, La Pampa. A.M. Lluch, C.C. Salomon Tarquini (Eds.).
64. Zink M., Salomon Tarquini C.C. Las sociedades indígenas y las relaciones sociales en espacios de frontera. Historia de La Pampa, sociedad, politica, economia, desde los poblamientos originales hasta la provincializacion: ca 8000 AP a 1952 2008, 660. Universidad Nacional de La Pampa, Santa Rosa, La Pampa. A.M. Lluch, C.C. Salomon Tarquini (Eds.).