Hydroperiod is the main driver of the spatial pattern of dominance in mangrove communities

Global Ecology and Biogeography

Volumn 22, Issue 7, 2013, Pages 806-817

  Crase, Beth ^a   Liedloff, Adam ^b   Vesk, Peter A ^a   Burgman, Mark A ^a   Wintle, Brendan A ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b CSIRO   (Australia)

Author keywords

Australia; Competition; Ecological niche model; Intertidal; Sea level rise; Species distribution; Species distribution model; Species dominance; Tidal regime; Tropical forest

Indexed keywords

COMPETITION (ECOLOGY); ECOLOGICAL MODELING; ENVIRONMENTAL FACTOR; GEOGRAPHICAL DISTRIBUTION; HYDROPERIOD; INTERTIDAL ENVIRONMENT; MANGROVE; RANGE EXPANSION; SALINITY; SEA LEVEL CHANGE; SHORELINE; SPATIAL ANALYSIS; TAXONOMY;

AUSTRALIA;

CERIOPS TAGAL; RHIZOPHORA STYLOSA; SONNERATIA ALBA;

EID: 84879172855     PISSN: 1466822X     EISSN: 14668238     Source Type: Journal    
DOI: 10.1111/geb.12063     Document Type: Article

References (71)

1. Akaike, H. (1974) A new look at the statistical model identification. Institute of Electrical and Electronics Engineers Transactions on Automatic Control, 19, 716-723.
2. Austin, M.P. & Smith, T.M. (1989) A new model for the continuum concept. Vegetatio, 83, 35-47.
3. Australian Baseline (2011) Australian baseline sea level monitoring project file information and instructions, IDO71014. Northern Territory Bureau of Meteorology. Available at: http://www.bom.gov.au/oceanography/projects/abslmp/data/data.shtml (accessed 21 October 2012).
4. Australian Bureau of Meteorology (2011) Climate statistics for Australian locations. Australian Bureau of Meteorology. Available at: http://www.bom.gov.au/climate/averages/tables/cw_014015.shtml (accessed 23 November 2011).
5. Aziz, I. & Khan, M.A. (2001) Experimental assessment of salinity tolerance of Ceriops tagal seedlings and saplings from the Indus Delta, Pakistan. Aquatic Botany, 70, 259-268.
6. Ball, M.C. (1988a) Salinity tolerance in the mangroves Aegiceras corniculatum and Avicennia marina. 1. Water-use in relation to growth, carbon partitioning and salt balance. Australian Journal of Plant Physiology, 15, 447-464.
7. Ball, M.C. (1988b) Ecophysiology of mangroves. Trees, 2, 129-142.
8. Ball, M.C. & Pidsley, S.M. (1995) Growth-responses to salinity in relation to distribution of two mangrove species, Sonneratia alba and S. lanceolata, in northern Australia. Functional Ecology, 9, 77-85.
9. Booth, G.D., Niccolucci, M.J. & Schuster, E.G. (1994) Identifying proxy sets in multiple linear regression: an aid to better coefficient interpretation. US Department of Agriculture Forest Service, Oden, UT.
10. Breiman, L. (1996) Bagging predictors. Machine Learning, 24, 123-140.
11. Brocklehurst, P. & Edmeades, B. (1996) The mangrove communities of Darwin Harbour. Department of Lands, Planning and Environment, Resource Capability Assessment Branch, Northern Territory Government, Darwin.
12. Bunt, J.S. (1996) Mangrove zonation: an examination of data from seventeen riverine estuaries in tropical Australia. Annals of Botany, 78, 333-341.
13. Cardona-Olarte, P., Twilley, R.R., Krauss, K.W. & Rivera-Monroy, V. (2006) Responses of Neotropical mangrove seedlings grown in monoculture and mixed culture under treatments of hydroperiod and salinity. Hydrobiologia, 569, 325-341.
14. Chen, L.Z., Wang, W.Q. & Lin, P. (2005) Photosynthetic and physiological responses of Kandelia candel L. Druce seedling to duration of tidal immersion in artificial seawater. Environmental and Experimental Botany, 54, 256-266.
15. Clarke, P.J. (2004) Effects of experimental canopy gaps on mangrove recruitment: lack of habitat partitioning may explain stand dominance. Journal of Ecology, 92, 203-213.
16. Clough, B.F. (1984) Growth and salt balance in the mangroves Avicennia marina (Forsk.) Vierh. and Rhizophora stylosa Griff. in relation to salinity. Australian Journal of Plant Physiology, 11, 419-430.
17. Colwell, R.K. & Rangel, T.F. (2009) Hutchinson's duality: the once and future niche. Proceedings of the National Academy of Sciences USA, 106, 19651-19658.
18. Costanza, R., d'Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O'Neill, R.V., Paruelo, J., Raskin, R.G., Sutton, P. & van den Belt, M. (1997) The value of the world's ecosystem services and natural capital. Nature, 387, 253-260.
19. Danielsen, F., Sørensen, M.K., Olwig, M.F., Selvam, V., Parish, F., Burgess, N.D., Hiraishi, T., Karunagaran, V.M., Rasmussen, M.S., Hansen, L.B., Quarto, A. & Suryadiputra, N. (2005) The Asian tsunami: a protective role for coastal vegetation. Science, 310, 643-643.
20. De'ath, G. (2007) Boosted trees for ecological modeling and prediction. Ecology, 88, 243-251.
21. Donato, D.C., Kauffman, J.B., Murdiyarso, D., Kurnianto, S., Stidham, M. & Kanninen, M. (2011) Mangroves among the most carbon-rich forests in the tropics. Nature Geoscience, 4, 293-297.
22. Duke, N.C. (2006) Australia's mangroves. The authoritative guide to Australia's mangrove plants. University of Queensland, Brisbane.
23. Duke, N.C., Ball, M.C. & Ellison, J.C. (1998) Factors influencing biodiversity and distributional gradients in mangroves. Global Ecology and Biogeography Letters, 7, 27-47.
24. Elder, J.F. (2003) The generalization paradox of ensembles. Journal of Computational and Graphical Statistics, 12, 853-864.
25. Elith, J., Leathwick, J.R. & Hastie, T. (2008) A working guide to boosted regression trees. Journal of Animal Ecology, 77, 802-813.
26. Ellison, A.M. & Farnsworth, E.J. (1997) Simulated sea level change alters anatomy, physiology, growth, and reproduction of red mangrove (Rhizophora mangle L.). Oecologia, 112, 435-446.
27. ESRI (2011) ArcGIS desktop, release 10. Environmental Systems Research Institute, Redlands, CA.
28. Feller, I.C., McKee, K.L., Whigham, D.F. & O'Neill, J.P. (2003) Nitrogen vs. phosphorus limitation across an ecotonal gradient in a mangrove forest. Biogeochemistry, 62, 145-175.
29. Ferrier, S. & Watson, G. (1997) An evaluation of the effectiveness of environmental surrogates and modelling techniques in predicting the distribution of biological diversity. Parks and Wildlife, Biodiversity Group, Environment Australia, Sydney, NSW.
30. Fielding, A. & Bell, J. (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 38-49.
31. Giri, C., Ochieng, E., Tieszen, L.L., Zhu, Z., Singh, A., Loveland, T., Masek, J. & Duke, N. (2011) Status and distribution of mangrove forests of the world using earth observation satellite data. Global Ecology and Biogeography, 20, 154-159.
32. Guisan, A. & Zimmermann, N.E. (2000) Predictive habitat distribution models in ecology. Ecological Modelling, 135, 147-186.
33. He, B., Lai, T., Fan, H., Wang, W.Q. & Zheng, H. (2007) Comparison of flooding-tolerance in four mangrove species in a diurnal tidal zone in the Beibu Gulf. Estuarine, Coastal and Shelf Science, 74, 254-262.
34. Hutchinson, G.E. (1959) Hommage to Santa Rosalia, or why are there so many kinds of animals? The American Naturalist, 93, 145-159.
35. Kitaya, Y., Jintana, V., Piriyayotha, S., Jaijing, D., Yabuki, K., Izutani, S., Nishimiya, A. & Iwasaki, M. (2002) Early growth of seven mangrove species planted at different elevations in a Thai estuary. Trees - Structure and Function, 16, 150-154.
36. Krauss, K.W., Doyle, T.W., Twilley, R.R., Rivera-Monroy, V.H. & Sullivan, J.K. (2006) Evaluating the relative contributions of hydroperiod and soil fertility on growth of south Florida mangroves. Hydrobiologia, 569, 311-324.
37. Krauss, K.W., Lovelock, C.E., McKee, K.L., López-Hoffman, L., Ewe, S.M.L. & Sousa, W.P. (2008) Environmental drivers in mangrove establishment and early development: a review. Aquatic Botany, 89, 105-127.
38. Lovelock, C.E., Feller, I.C., McKee, K.L. & Thompson, R. (2005) Variation in mangrove forest structure and sediment characteristics in Bocas del Toro, Panama. Caribbean Journal of Science, 41, 456-464.
39. McCullagh, P. & Nelder, J.A. (1983) Generalized linear models. Chapman and Hall, London.
40. McGuinness, K.A. (1997) Seed predation in a tropical mangrove forest: a test of the dominance-predation model in Northern Australia. Journal of Tropical Ecology, 13, 293-302.
41. McKee, K.L. (1993) Soil physicochemical patterns and mangrove species distribution: reciprocal effects? Journal of Ecology, 81, 477-487.
42. McKee, K.L. (1996) Growth and physiological responses of Neo-tropical seedlings to root zone hypoxia. Tree Physiology, 15, 883-889.
43. Marchand, C., Baltzer, F., Lallier-Vergès, E. & Albéric, P. (2004) Pore-water chemistry in mangrove sediments: relationship with species composition and developmental stages (French Guiana). Marine Geology, 208, 361-381.
44. Matthijs, S., Tack, J., van Speybroeck, D. & Koedam, N. (1999) Mangrove species zonation and soil redox state, sulphide concentration and salinity in Gazi Bay (Kenya), a preliminary study. Mangroves and Salt Marshes, 3, 243-249.
45. Mumby, P.J., Edwards, A.J., Arias-González, J.E., Lindeman, K.C., Blackwell, P.G., Gall, A., Gorczynska, M.I., Harborne, A.R., Pescod, C.L., Renken, H., Wabnitz, C.C.C. & Llewellyn, G. (2004) Mangroves enhance the biomass of coral reef fish communities in the Caribbean. Nature, 427, 533-536.
46. Naidoo, G. (1985) Effects of water logging and salinity on plant water relations and on the accumulation of solutes in three mangrove species. Aquatic Botany, 22, 133-143.
47. Nicholls, R.J., Wong, P.P., Burkett, V.R., Codignotto, J.O., Hay, J.E., McLean, R.F., Ragoonaden, S. & Woodroffe, C.D. (2007) Coastal systems and low-lying areas. Climate change 2007: impacts, adaptation and vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (ed. by M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden and C.E. Hanson), pp. 315-356. Cambridge University Press, Cambridge.
48. Nickerson, N.H. & Thibodeau, F.R. (1985) Association between pore water sulphide concentrations and the distribution of mangroves. Biogeochemistry, 1, 183-192.
49. Parida, A.K. & Jha, B. (2010) Salt tolerance mechanisms in mangroves: a review. Trees, 24, 199-217.
50. Pearce, J. & Ferrier, S. (2000) Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling, 133, 225-245.
51. R Development Core Team (2011) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna.
52. Rabinowitz, D. (1978) Early growth of mangrove seedlings in Panama, and an hypothesis concerning the relationship of dispersal and zonation. Journal of Biogeography, 5, 113-133.
53. Rahmstorf, S., Cazenave, A., Church, J.A., Hansen, J.E., Keeling, R.F., Parker, D.E. & Somerville, R.C.J. (2007) Recent climate observations compared to projections. Science, 316, 709-709.
54. Rayment, G.E. & Higginson, F.R. (1992) Australian laboratory handbook of soil and water chemical methods. Inkata Press, North Ryde.
55. Ridgeway, G. (2006) Generalized boosted regression models. Documentation on the R package 'gbm', version 1.5-7. Available at: http://www.i-pensieri.com/gregr/gbm.shtml (accessed 20 June 2012).
56. Sheue, C.R., Yang, Y.P., Liu, H.Y., Chou, F.S., Chang, H.C., Saenger, P., Mangion, C.P., Wightman, G., Yong, J.W.H. & Tsai, C.C. (2009) Re-evaluating the taxonomic status of Ceriops australis (Rhizophoraceae) based on morphological and molecular evidence. Botanical Studies, 50, 89-100.
57. Smith, T.J., III (1988) Differential distribution between sub-species of the mangrove Ceriops tagal: competitive interactions along a salinity gradient. Aquatic Botany, 32, 79-89.
58. Smith, T.J., III (1992) Forest structure. Tropical mangrove ecosystems (ed. by A.I. Roberston and D.M. Alongi), pp. 101-136. American Geophysical Union, Washington, DC.
59. Smith, T.J., III, Chan, H.T., McIvor, C.C. & Robblee, M.B. (1989) Comparisons of seed predation in tropical, tidal forests from three continents. Ecology, 70, 146-151.
60. Snedaker, S.C. (1982) Mangrove species zonation: why? Dr W. Junk, The Hague.
61. Sousa, W.P., Kennedy, P.G., Mitchell, B.J. & Ordóñez, B.M. (2007) Supply-side ecology in mangroves: do propagule dispersal and seedling establishment explain forest structure? Ecological Monographs, 77, 53-76.
62. Stone, M. (1974) Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society, Series B, 36, 111-147.
63. Swets, J.A. (1988) Measuring the accuracy of diagnostic systems. Science, 240, 1285-1293.
64. Takaki, T., Balagas, P.O. & Hirohiko, M. (2003) Relationships between distribution of mangrove species and salinity level along the tidal rivers in the Philippines. Japanese Journal of Forest Environment, 45, 65-74.
65. Temby, O. (2009) Project report for aerial lidar survey of Darwin and surrounds. Fugro Spatial Solutions Pty Ltd, Perth.
66. Ukpong, I.E. (1991) The performance and distribution of species along soil-salinity gradients of mangrove swamps in south-eastern Nigeria. Vegetatio, 95, 63-70.
67. Valiela, I., Bowen, J.L. & York, J.K. (2001) Mangrove forests: one of the world's threatened major tropical environments. Bioscience, 51, 807-815.
68. Watson, J.C. (1928) Mangrove forests of the Malayan peninsula. Malayan Forest Records, 6, 1-275.
69. Williams, D., Wolanski, E. & Spagnol, S. (2006) Hydrodynamics of Darwin Harbour. The environment in Pacific harbours (ed. by E. Wolanski), pp. 461-476. Springer, The Hague.
70. Youssef, T. & Saenger, P. (1998) Photosynthetic gas exchange and accumulation of phytotoxins in mangrove seedlings in response to soil physico-chemical characteristics associated with waterlogging. Tree Physiology, 18, 317-324.
71. Zimmermann, N.E., Edwards, T.C., Graham, C.H., Pearman, P.B. & Svenning, J.-C. (2010) New trends in species distribution modelling. Ecography, 33, 985-989.