Tests of the ETIB. We have reviewed various expecta8ons for the theory of island biogeography. How does it hold up to tests with empirical data?

Transcription

1 Tests of the ETIB We have reviewed various expecta8ons for the theory of island biogeography How does it hold up to tests with empirical data? Rate T 0 Ŝ P # Species

2 Tests of the ETIB Test of the shapes of the immigra3on and ex3nc3on curves: Islands surveyed in long- term study of the breeding birds of the Bri8sh Isles (Manne et al. 1998) 2

3 Tests of the ETIB Test of the shapes of the immigra3on (le<) and ex3nc3on (right) curves: Number of immigrants per year Number of ex8nc8ons per year Number of species in previous year Number of species in previous year Bird species immigra8on and ex8nc8on curves for Bri8sh Isles observed since the early 1900 s. Cases where a non- linear rela8onship was the best fit are highlighted (Manne et al. 1998). 3

4 Tests of the ETIB Tests of the equilibrium in species richness: Experimental defauna8on experiment by Dan Simberloff and Ed Wilson (1970). Studied small islets of red mangrove in the Florida Keys. Islets ( m2) were surveyed for terrestrial arthropods, then covered in plas8c tents and fumigated with methyl bromide to remove all the arthropods. The islets varied in distance from the mainland source fauna (300 species) from m. 4

5 Tests of the equilibrium in species richness: Tests of the ETIB Pre- defauna8on surveys Number of species present most isolated island Coloniza8on curves of four small mangrove islands(e1, E2, E3, ST2) in lower Florida Keys. Arthropod faunas of islands were exterminated by fumiga8on (Simberloff and Wilson 1970). 5 Days

6 Tests for turnover in species composi3on: Tests of the ETIB Turnover of arthropod species on experimentally- defaunated mangrove islands. Shows percentages of species present at both of two given census 8mes. (Simberloff and Wilson 1970) 6

7 Tests for turnover in species composi3on: Tests of the ETIB Islands of Krakatau Sterilized by an erup8on in The Krakatau Islands, showing vegeta8on cover in 1983 (from Thornton et al. 1990). 7

8 Tests for turnover in species composi3on: Tests of the ETIB Islands of Krakatau - Sterilized by an erup8on in Coloniza8on curves of resident land birds and bu^erflies to the Krakatau Islands. Solid lines show actual numbers at the 8me of survey, dashed lines are cumula8ve numbers (Thornton et al. 1990) 8

9 Tests for turnover in species composi3on: Tests of the ETIB Islands of Krakatau Sterilized by an erup8on in Species coloniza8on curves for sea-, wind-, and animal- dispersed plants on Rakata Island Number of species (Bush and Whi^aker 1991) 9

10 Tests for turnover in species composi3on: Tests of the ETIB Gatun Lake formed by crea8on of the Panama Canal

11 Tests for turnover in species composi3on: Tests of the ETIB Gatun Lake formed by crea8on of the Panama Canal

12 Tests for turnover in species composi3on: Tests of the ETIB Gatun Lake formed by crea8on of the Panama Canal. Areas closest to mainland have lower turnover opposite to expecta8on. In this case, proximity to mainland 12 prevented ex8nc8on rescue effect (from Wright 1985).

13 Fate of the ETIB Much of development has been driven by discovery of excep3ons: Small island effect and in situ specia8on (island endemics). Small Island Effect: the tendency for species richness to vary independently of island area or isola8on on very small islands. Species richness small Island Area large 13

14 Fate of the ETIB Much of development has been driven by discovery of excep3ons: Rescue effect and target effect. Rescue Effect: the tendency for ex8nc8on rates to be rela8vely low when islands are very close to the mainland because island popula8ons are augmented by immigra8on. ETIB expecta8on: T SN > T LN T SF > T LF Rate T Ŝ F 0 P Ŝ N # Species

15 Fate of the ETIB Much of development has been driven by discovery of excep3ons: Rescue effect and target effect. Target Effect: the tendency for immigra8on rates to be higher on larger islands because larger islands have more shoreline, can be seen from farther away, etc. ETIB expecta8on: T SN > T LN T SF > T LF Rate T 0 Ŝ S Ŝ L P # Species

16 Fate of the ETIB Much of development has been driven by discovery of excep3ons: Non- equilibrium cases. - age (8me for coloniza8on) might influence diversity - e.g., fish species in African and North American lakes - e.g., different modes of dispersal to the islands of Krakatau Differences between species, interac8ons among species. - ecological interac8ons may be more important than ETIB processes - e.g., much residual varia8on in bu^erfly diversity on Bri8sh islets explained by ecological factors 16

17 Fate of the ETIB A General Theory of Volcanic Island Biogeography A scenario most applicable to islands with simple ontogenies, such as those found within hotspot archipelagos (from Whi^aker et al. 2008). 17

18 Fate of the ETIB A General Theory of Volcanic Island Biogeography I is the immigra8on rate, S is the specia8on rate, and E is the ex8nc8on rate. For species number, K is the poten8al carrying capacity, and R is the realized species richness (from Whi^aker et al. 2008) 18

19 Fate of the ETIB A General Theory of Volcanic Island Biogeography I is the immigra8on rate, S is the specia8on rate, and E is the ex8nc8on rate. For species number, K is the poten8al carrying capacity, and R is the realized species richness (from Whi^aker et al. 2008) 19

20 Fate of the ETIB A General Theory of Volcanic Island Biogeography numbered lines represent 8me stages since island forma8on As average rate of gene flow drops below approx. one individual per genera8on (point A), specia8on will begin to take place, and endemic species will develop. Endemic species will have sister taxon in the source area, not on the island/archipelago. As coloniza8on becomes even less frequent, and as 8me passes, endemic clades will be produced in which endemic taxa have sister taxon on the island or archipelago, not in the source area (Whi^aker et al. 2008).

21 Fate of the ETIB The Insular Distribu3on Func3on The presence of a par8cular species on an island will depend largely on: The traits of the island (e.g., area, isola8on, environment, age) the traits of the species (e.g., dispersal ability, coloniza8on ability, compe88ve ability, popula8on density, trophic level) Insular Distribu3on Func3on: a line describing the constraint on the presence of a focal species on islands in an archipelago. The slope and intercept of the line vary in a predictable manner with characteris8cs of the islands and of the focal species. 21

22 Fate of the ETIB The Insular Distribu3on Func3on The presence of a par8cular species on an island will depend largely on: The characteris8cs of the island (e.g., area, isola8on, environment) The traits of the species (e.g., dispersal ability, compe88ve ability, popula8on density) A hypothe8cal insular distribu8on func8on (from Lomolino et al. 2010a). 22

23 Fate of the ETIB Host Plants as Analogs of Islands for Phytophagous Insects There are many species of gall midge. Most are specialists on par8cular host plant species, and a host plant can support mul8ple species of gall midge. Can gall midges can more easily switch hosts (i.e., immigrate) if the new host is closely related to the previous host (i.e., low isola8on)? (Joy and Crespi 2012) 23

24 Fate of the ETIB Host Plants as Analogs of Islands for Phytophagous Insects Island area = host plant geographic range size Island isola8on = evolu8onary dis8nc8veness of host plant (Joy and Crespi 2012) 24

25 Fate of the ETIB Host Plants as Analogs of Islands for Phytophagous Insects Island area = host plant geographic range size Island isola8on = evolu8onary dis8nc8veness of host plant (Joy and Crespi 2012) 25

26 Fate of the ETIB Host Plants as Analogs of Islands for Phytophagous Insects Island area = host plant geographic range size Island isola8on = evolu8onary dis8nc8veness of host plant (Joy and Crespi 2012) 26

27 The Island Rule Island Rule: The trend (in island- inhabi8ng vertebrates) from gigan8sm of species with small mainland ancestors (e.g., mice and voles) to dwarfism of species with large mainland ancestors (e.g., canids, ungulates, and elephants). mammals Body size trends for a variety of vertebrates (from Lomolino et al. 2010b) 27

28 The Island Rule Island Rule: The trend (in island- inhabi8ng vertebrates) from gigan8sm of species with small mainland ancestors (e.g., mice and voles) to dwarfism of species with large mainland ancestors (e.g., canids, ungulates, and elephants). Explana8ons for the island rule (from Lomolino et al. 2010a) 28

29 The Island Rule Island Rule: The trend (in island- inhabi8ng vertebrates) from gigan8sm of species with small mainland ancestors (e.g., mice and voles) to dwarfism of species with large mainland ancestors (e.g., canids, ungulates, and elephants). Integra8ng geographic and ecological context with the island rule. Isular distribu8on func8ons for rodents, carnivores, and herbivores are shown with species present ( + ) above the lines 29 (from Lomolino et al. 2010a)

30 Summary Scale- dependence of ecological, evolu8onary, and biogeographic processes for island biotas 30 (from Lomolino et al. 2010a)

31 Island Biogeography References for this sec3on: Barbour, C.D., and J.H. Brown Fish species diversity in lakes. American Naturalist 108: Brown, J.H The theory of insular biogeography and the distribu8on of boreal birds and mammals. Great Basin Naturalist Memoirs 2: Bush, M.B., and R.J. Whi^aker Krakatau: coloniza8on pa^erns and hierarchies. J. Biogeog. 18: Cur8s, J.T The modifica8on of mid- la8tude grasslands and forests by man. In Man s Role in Changing the Face of the Earth, ed. W.L. Thomas, Chicago: University of Chicago Press. Diamond, J.M Avifaunal Equilibria and Species Turnover Rates on the Channel Islands of California. PNAS 64: Frey, J.K., M.A. Bogan, and T.L. Yates Mountaintop island age determines species richness of boreal mammals in the American Southwest. Ecography 30: Hanski, I Dynamics of small mammals on islands. Ecography 16: Hanski, I A prac8cal model of metapopula8on dynamics. J. Anim. Ecol. 63: Jones, H.L., and J.M. Diamond Short- 8me- base studies of turnover in breeding bird popula8ons on the california channel islands. The Condor 78: Joy, J. and B.J. Crespi Island phytophagy: explaining the remarkable diversity of plant- feeding insects. Proc Biol Sci. 279: Lomolino, M.V., J.H. Brown, & D.F. Sax. 2010a. Island biogeography theory: re8cula8ons and reintegra8on of a biogeography of the species. In The Theory of Island Biogeography Revisited, ed. J.B. Losos & R.E. Ricklefs, Princeton University Press, Princeton and Oxford. Lomolino, M.V., B.R. Riddle, R.J. Whi^aker, & J.A. Brown. 2010b. Biogeography (4 th ed.). Sinauer Associates, Inc., Sunderland, Mass. MacArthur, R.H. & E.O. Wilson An equilibrium theory of insular zoogeography. EvoluHon 17: MacArthur, R.H. & E.O. Wilson The Theory of Island Biogeography. Princeton University Press, Princeton. Manne, L.L., S.L. Pimm, J.D. Diamond, and T.M. Reed. The form of the curves: a direct evalua8on of MacArthur & Wilson's classic theory. Journal of Animal Ecology 67: Nores, M Insular biogeography of birds on mountain- tops in north Argen8na. J. Biogeog. 22:

32 Island Biogeography References for this sec3on: Simberloff, D.S. & E.O. Wilson Experimental coloniza8on of islands: a two year record of coloniza8on. Ecology 51: Thornton, I.W.B., R.A. Zann, & S. van Balen Coloniza8on of Rakata (Krakatau is.) by non- migrant land birds from 1883 to 1992 and implica8ons for the value of island equilibrium theory. J. Biogeog 20: Thornton, I.W.B., T.R. New, R.A. Zann & P.A. Rawlinson. Coloniza8on of the Krakatau islands by animals: a perspec8ve from the 1980s. Phil. Trans. R. Soc. Lond. B 328: Whi^aker, R.J., K.A. Trian8s, & R.J. Ladle A general dynamic theory of oceanic island biogeography. J. Biogeog. 35: Wilson, E.O Adap8ve shir and dispersal in a tropical ant fauna. EvoluHon 13: Wilson, E.O The nature of the taxon cycle in the Melanesian ant fauna. American Naturalist 95: Wright, S.J How isola8on affects rates of turnover of species on islands. Oikos 44: