Winners and losers in the competition for space in tropical forest canopies

Ecology Letters

Volumn 17, Issue 5, 2014, Pages 556-562

  Kellner, James R ^a   Asner, Gregory P ^b  

^a BROWN UNIVERSITY   (United States)

^b GEOPHYSICAL LABORATORY   (United States)

Author keywords

Disturbance; Growth; Hawaii; LiDAR

Indexed keywords

LIDAR;

BIOLOGICAL MODEL; DISTURBANCE; ECOSYSTEM; GROWTH; LETTER; PHYSIOLOGY; TREE; TROPIC CLIMATE; UNITED STATES;

DISTURBANCE; GROWTH; HAWAII; LIDAR;

ECOSYSTEM; HAWAII; MODELS, BIOLOGICAL; TREES; TROPICAL CLIMATE;

EID: 84898059257     PISSN: 1461023X     EISSN: 14610248     Source Type: Journal    
DOI: 10.1111/ele.12256     Document Type: Article

References (27)

1. Asner, G.P., Knapp, D.E., Kennedy-Bowdoin, T., Jones, M.O., Martin, R.E., Boardman, J. et al. (2007). Carnegie Airborne Observatory: in-flight fusion of hyperspectral imaging and waveform light detection and ranging (wLiDAR) for three-dimensional studies of ecosystems. J. Appl. Remote Sens., 1, 1-21.
2. Asner, G.P., Kellner, J.R., Kennedy-Bowdoin, T., Knapp, D.E., Anderson, C. & Martin, R. (2013). Forest canopy gap distributions in the southern Peruvian Amazon. PLoS ONE, 8, e60875.
3. Brokaw, N.V.L. (1982). The definition of treefall gap and its effect on measures of forest dynamics. Biotropica, 14, 158-160.
4. Clark, D.A. & Clark, D.B. (2001). Getting to the canopy: tree height growth in a neotropical rain forest. Ecology, 82, 1460-1472.
5. Clark, J.S., Ferraz, G.A., Oguge, N., Hays, H. & DiCostanzo, J. (2005). Hierarchical Bayes for structured, variable populations: from recapture data to life-history prediction. Ecology, 86, 2232-2244.
6. Dubayah, R.O., Sheldon, S.L., Clark, D.B., Hofton, M.A., Blair, J.B., Hurtt, G.C. et al. (2010). Estimation of tropical forest height and biomass dynamics using lidar remote sensing at La Selva, Costa Rica. J. Geophys. Res., 115, G00E09. DOI: 10.1029/2009JG000933.
7. Enquist, B.J., West, G.B. & Brown, J.H. (2009). Extensions and evaluations of a general quantitative theory of forest structure and dynamics. Proc. Natl. Acad. Sci. USA, 106, 7046-7051.
8. Gelfand, A.E. & Ghosh, S.K. (1998). Model choice: a minimum posterior predictive loss approach. Biometrika, 85, 1-11.
9. Graham, E.A., Mulkey, S.S., Kitajima, K., Phillips, N.G. & Wright, S.J. (2003). Cloud cover limits net CO2 uptake and growth of a rainforest tree during tropical rainy seasons. Proc. Natl. Acad. Sci. USA, 100, 572-576.
10. Harper, J.L. (1977). Population Biology of Plants. Academic Press, New York.
11. Herwitz, S.R., Slye, R.E. & Turton, S.M. (2000). Long-term survivorship and crown area dynamics of tropical rain forest canopy trees. Ecology, 81, 585-597.
12. Kellner, J.R. & Asner, G.P. (2009). Convergent structural responses of tropical forests to diverse disturbance regimes. Ecol. Lett., 12, 887-897.
13. Kellner, J.R., Asner, G.P., Vitousek, P.M., Tweiten, M.A., Hotchkiss, S. & Chadwick, O.A. (2011). Dependence of forest structure and dynamics on substrate age and ecosystem development. Ecosystems, 114, 1156-1167.
14. Landis, R.M. & Peart, D.R. (2005). Early performance predicts canopy attainment across life histories in subalpine forest trees. Ecology, 86, 63-72.
15. Lefsky, M.A., Cohen, W.B., Parker, G.G. & Harding, D.J. (2002). Lidar remote sensing for ecosystem studies. Bioscience, 52, 19-30.
16. Mueller-Dombois, D. (1986). Perspectives for an etiology of stand-level dieback. Annu. Rev. Ecol. Syst., 17, 221-243.
17. Stark, S.C., Leitold, V., Wu, J.L., Hunter, M.O., de Castilho, C.V., Costa, F.R.C. et al. (2012). Amazon forest carbon dynamics predicted by profiles of canopy leaf area and light environment. Ecol. Lett., 15, 1406-1414.
18. Thomas, R.Q., Kellner, J.R., Clark, D.B. & Peart, D.R. (2013). Low mortality in tall tropical trees. Ecology, 94, 920-929.
19. Vepakomma, U., St-Onge, B. & Kneeshaw, D. (2008). Spatially explicit characterization of boreal forest gap dynamics using multi-temporal lidar data. Remote Sens. Environ., 112, 2326-2340.
20. Vepakomma, U., St-Onge, B. & Kneeshaw, D. (2011). Response of a boreal forest to canopy opening: assessing vertical and lateral tree growth with multi-temporal lidar data. Ecol. Appl., 21, 99-121.
21. Vitousek, P.M. (2004). Nutrient Cycling and Limitation: Hawai'i as a Model System. Princeton University Press, Princeton, NJ, USA.
22. Vitousek, P., Asner, G.P., Chadwick, O.A. & Hotchkiss, S. (2009). Landscape-level variation in forest structure and biogeochemistry across a substrate age gradient in Hawaii. Ecology, 90, 3074-3086.
23. Vitousek, P.M., Tweiten, M.A., Kellner, J., Hotchkiss, S.C., Chadwick, O.A. & Asner, G.P. (2010). Top-down analysis of forest structure and biogeochemistry across Hawaiian landscapes. Pac. Sci., 64, 359-366.
24. West, G.B., Enquist, B.J. & Brown, J.H. (2009). A general quantitative theory of forest structure and dynamics. Proc. Natl. Acad. Sci. USA, 106, 7040-7045.
25. Wright, S.J. & Calderon, O. (2006). Seasonal, El Nino and longer term changes in flower and seed production in a moist tropical forest. Ecol. Lett., 9, 35-44.
26. Wyckoff, P.H. & Clark, J.S. (2005). Tree growth prediction using size and exposed crown area. Can. J. For. Res., 35, 13-20.
27. Young, T.P. & Hubbell, S.P. (1991). Crown asymmetry, treefalls, and repeat disturbance of broad-leaved forest gaps. Ecology, 72, 1464-1471.