Using lightweight unmanned aerial vehicles to monitor tropical forest recovery

Biological Conservation

Volumn 186, Issue , 2015, Pages 287-295

  Zahawi, Rakan A ^a   Dandois, Jonathan P ^b   Holl, Karen D ^c   Nadwodny, Dana ^b   Reid, J Leighton ^c,d   Ellis, Erle C ^b  

^a Organization for Tropical Studies Costa Rica   (Costa Rica)

^b UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d MISSOURI BOTANICAL GARDEN   (United States)

Author keywords

Canopy structure; Costa Rica; Drone; Ecosynth; Hexacopter; LiDAR; Point cloud model

Indexed keywords

ABOVEGROUND BIOMASS; BIRD; CALIBRATION; COST-BENEFIT ANALYSIS; ECOLOGICAL MODELING; FOREST CANOPY; FOREST DYNAMICS; LIDAR; MONITORING SYSTEM; RECOVERY PLAN; REMOTE SENSING; SOFTWARE; TROPICAL FOREST; UNMANNED VEHICLE; WEIGHT;

COSTA RICA;

AVES;

EID: 84927670851     PISSN: 00063207     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biocon.2015.03.031     Document Type: Article

References (54)

1. Aide T.M., Clark M.L., Grau H.R., López-Carr D., Levy M.A., Redo D., Bonilla-Moheno M., Riner G., Andrade-Núñez M.J., Muñiz M. Deforestation and reforestation of Latin America and the Caribbean (2001-2010). Biotropica 2013, 45:262-271.
2. Andersen H.E., Reutebuch S.E., McGaughey R.J. A rigorous assessment of tree height measurements obtained using airborne lidar and conventional field methods. Canad. J. Rem. Sens. 2006, 32:355-366.
3. Andersen H.E., Clarkin T., Winterberger K., Strunk J. An accuracy assessment of positions obtained using survey- and recreational-grade global positioning system receivers across a range of forest conditions within the Tanana valley of interior Alaska. Western J. Appl. Forest. 2009, 24:128-136.
4. Anderson K., Gaston K.J. Lightweight unmanned aerial vehicles will revolutionize spatial ecology. Front. Ecol. Environ. 2013, 11:138-146.
5. Asner G.P. Tropical forest carbon assessment: integrating satellite and airborne mapping approaches. Environ. Res. Lett. 2009, 4.
6. Asner G.P., Mascaro J., Muller-Landau H.C., Vieilledent G., Vaudry R., Rasamoelina M., Hall J.S., van Breugel M. A universal airborne LiDAR approach for tropical forest carbon mapping. Oecologia 2012, 168:1147-1160.
7. Bates, D., Maechler, M., Bolker, B., Walker, S., 2014. lme4: linear mixed-effects models using Eigen and s4. R package version 1.1-7.
8. Burnham K.P., Anderson D.R. Model Selection and Inference: A practical Information-Theoretic Approach 1998, Springer, New York.
9. Chave J., Andalo C., Brown S., Cairns M.A., Chambers J.Q., Eamus D., Foelster H., Fromard F., Higuchi N., Kira T., Lescure J.P., Nelson B.W., Ogawa H., Puig H., Riera B., Yamakura T. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia (Berlin) 2005, 145:87-99.
10. Dandois J.P., Ellis E.C. Remote sensing of vegetation structure using computer vision. Rem. Sens. 2010, 2:1157-1176.
11. Dandois J.P., Ellis E.C. High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision. Rem. Sens. Environ. 2013, 136:259-276.
12. Davies A.B., Asner G.P. Advances in animal ecology from 3D-LiDAR ecosystem mapping. Trends Ecol. Evol. 2014, 29:681-691.
13. De Sy V., Herold M., Achard F., Asner G.P., Held A., Kellndorfer J., Verbesselt J. Synergies of multiple remote sensing data sources for REDD+ monitoring. Curr. Opin. Environ. Sustain. 2012, 4:696-706.
14. Development Core Team R. R: a language and environment for statistical computing 2013, R Foundation for Statistical Computing, Vienna.
15. Drake J.B., Dubayah R.O., Clark D.B., Knox R.G., Blair J.B., Hofton M.A., Chazdon R.L., Weishampel J.F., Prince S.D. Estimation of tropical forest structural characteristics using large-footprint lidar. Rem. Sens. Environ. 2002, 79:305-319.
16. Duncan R.S., Chapman C.A. Seed dispersal and potential forest succession in abandoned agriculture in tropical africa. Ecol. Appl. 1999, 9:998-1008.
17. Edwards D.P., Fisher B., Boyd E. Protecting degraded rainforests: enhancement of forest carbon stocks under REDD+. Conserv. Lett. 2010, 3:313-316.
18. Erdody T.L., Moskal L.M. Fusion of LiDAR and imagery for estimating forest canopy fuels. Rem. Sens. Environ. 2010, 114:725-737.
19. Evans J.S., Hudak A.T. A multiscale curvature algorithm for classifying discrete return LiDAR in forested environments. Geosci. Rem. Sens., IEEE Trans. 2007, 45:1029-1038.
20. Fox J., Weisberg S. An R Companion to Applied Regression, Second 2011, Sage Publications, Thousand Oaks, California, USA. Second ed.
21. Goetz S., Dubayah R. Advances in remote sensing technology and implications for measuring and monitoring forest carbon stocks and change. Carbon Manage. 2011, 2:231-244.
22. Goetz S., Steinberg D., Dubayah R., Blair B. Laser remote sensing of canopy habitat heterogeneity as a predictor of bird species richness in an eastern temperate forest, USA. Rem. Sens. Environ. 2007, 108:254-263.
23. Grubbs F.E. Procedures for detecting outlying observations in samples. Technometrics 1969, 11:1-21.
24. Harvey C.A., Dickson B., Kormos C. Opportunities for achieving biodiversity conservation through REDD. Conserv. Lett. 2010, 3:53-61.
25. Holdridge L.R., Grenke W.C., Hatheway W.H., Liang T., Tosi J.A. Forest Environments in Tropical Life Zones: A Pilot Study 1971, Pergamon Press, Oxford.
26. Holl K.D., Zahawi R.A. Factors explaining variability in woody above-ground biomass accumulation in restored tropical forest. For. Ecol. Manage. 2014, 319:36-43.
27. Holl K.D., Zahawi R.A., Cole R.J., Ostertag R., Cordell S. Planting seedlings in tree islands versus plantations as a large-scale tropical forest restoration strategy. Restor. Ecol. 2011, 19:470-479.
28. Holl K.D., Stout V.M., Reid J.L., Zahawi R.A. Testing heterogeneity-diversity relationships in tropical forest restoration. Oecologia 2013, 173:569-578.
29. Imai N., Samejima H., Langner A., Ong R.C., Kita S., Titin J., Chung A.Y.C., Lagan P., Lee Y.F., Kitayama K. Co-benefits of sustainable forest management in biodiversity conservation and carbon sequestration. Plos One 2009, 4.
30. Jung K., Kaiser S., Böhm S., Nieschulze J., Kalko E.K.V. Moving in three dimensions: effects of structural complexity on occurrence and activity of insectivorous bats in managed forest stands. J. Appl. Ecol. 2012, 49:523-531.
31. Koh L.P., Wich S.A. Dawn of drone ecology: low-cost autonomous aerial vehicles for conservation. Trop. Conserv. Sci. 2012, 5:121-132.
32. Lamb D. Regreening the Bare Hills: Tropical Forest Restoration in the Asia-Pacfic Region 2011, Springer, Dordrecht.
33. Lefsky M.A., Cohen W.B., Parker G.G., Harding D.J. Lidar remote sensing for ecosystem studies. BioScience 2002, 52:20-30.
34. Lindell C.A., Cole R.J., Holl K.D., Zahawi R.A. Migratory bird species in young tropical forest restoration sites: effects of vegetation height, planting design, and season. Bird Conserv. Int. 2012, 22:94-105.
35. MacArthur R.H., MacArthur J.W. On bird species diversity. Ecology 1961, 42:594-598.
36. Mascaro J., Asner G.P., Davies S.J., Dehgan A., Saatchi S. These are the days of lasers in the jungle. Carbon Balance Manage. 2014, 9.
37. McDonnell M.J. Old field vegetation height and the dispersal pattern of bird-disseminated woody plants. Bull. Torrey Botanical Club. 1986, 6-11.
38. Melo F.P.L., Pinto S.R.R., Brancalion P.H.S., Castro P.S., Rodrigues R.R., Aronson J., Tabarelli M. Priority setting for scaling-up tropical forest restoration projects: early lessons from the Atlantic Forest Restoration Pact. Environ. Sci. Policy 2013, 33:395-404.
39. Murcia C. Evaluation of Andean alder as a catalyst for the recovery of tropical cloud forests in Colombia. For. Ecol. Manage. 1997, 99:163-170.
40. OpenTopography, 2014. University of California, San Diego.
41. Phillips, O.L., Lewis, S.L., Baker, T.R., Malhi, Y., 2011. The response of South American tropical forests to recent atmospheric changes.
42. Reich P.B., Uhl C., Walters M.B., Prugh L., Ellsworth D.S. Leaf demography and phenology in Amazonian rain forest: a census of 40 000 leaves of 23 tree species. Ecol. Monogr. 2004, 74:3-23.
43. Reid J.L., Harris J.B.C., Zahawi R.A. Avian habitat preference in tropical forest restoration in southern Costa Rica. Biotropica 2012, 44:350-359.
44. Reid J.L., Mendenhall C.D., Rosales J.A., Zahawi R.A., Holl K.D. landscape context mediates avian habitat choice in tropical forest restoration. Plos One 2014, 9.
45. Rodrigues, R.R., Aurélio Padovezi, A., Turini Farah, F., Couto Garcia, L., Dias Sanglade, L., Santin Brancalion, P.H., Barreiro Chaves, R., Gorne Viani, R.A., Egydio Barreto, T., 2013. Protocolo de monitoramento para programas e projectos de restauração florestal, ed. R.A. Gorne Viani, pp. 1-62.
46. Ruiz-Jaen M.C., Aide T.M. Restoration success: how is it being measured?. Restor. Ecol. 2005, 13:569-577.
47. Schiffman R. Drones flying high as new tool for field biologists. Science 2014, 344. 459-459.
48. St-Louis V., Pidgeon A.M., Kuemmerle T., Sonnenschein R., Radeloff V.C., Clayton M.K., Locke B.A., Bash D., Hostert P. Modelling avian biodiversity using raw, unclassified satellite imagery. Philos. Trans. Royal Soc. B-Biol. Sci. 2014, 369:1-10.
49. Thies W., Kalko E.K.V. Phenology of neotropical pepper plants (Piperaceae) and their association with their main dispersers, two short-tailed fruit bats, Carollia perspicillata and C. castanea (Phyllostomidae). Oikos 2004, 104:362-376.
50. Turner W. Sensing biodiversity. Science 2014, 346:301-302.
51. Vierling K.T., Vierling L.A., Gould W.A., Martinuzzi S., Clawges R.M. Lidar: shedding new light on habitat characterization and modeling. Front. Ecol. Environ. 2008, 6:90-98.
52. Wheelwright N.T. Fruit size, gape width, and the diets of fruit-eating birds. Ecology 1985, 66:808-818.
53. Wijdeven S.M.J., Kuzee M.E. Seed availability as a limiting factor in forest recovery processes in Costa Rica. Restor. Ecol. 2000, 8:414-424.
54. Wolf P.R., Dewitt B.A., Wilkinson B.E. Elements of Photogrammetry with Applications in GIS 2014, McGraw Hill Education, New York. 4th ed.