Quantifying island isolation - insights from global patterns of insular plant species richness
Isolation is a driving factor of species richness and other island community attributes. Most empirical studies have investigated the effect of isolation measured as distance to the nearest continent. Here we expanded this perspective by comparing the explanatory power of seventeen isolation metrics...
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Published in | Ecography (Copenhagen) Vol. 36; no. 4; pp. 417 - 429 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Oxford, UK
Blackwell Publishing Ltd
01.04.2013
Nordic Society Oikos John Wiley & Sons, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0906-7590 1600-0587 |
DOI | 10.1111/j.1600-0587.2012.07669.x |
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Abstract | Isolation is a driving factor of species richness and other island community attributes. Most empirical studies have investigated the effect of isolation measured as distance to the nearest continent. Here we expanded this perspective by comparing the explanatory power of seventeen isolation metrics in sixty-eight variations for vascular plant species richness on 453 islands worldwide. Our objectives were to identify ecologically meaningful metrics and to quantify their relative importance for species richness in a globally representative data set. We considered the distances to the nearest mainland and to other islands, stepping stone distances, the area of surrounding landmasses, prevailing wind and ocean currents and climatic similarity between source and target areas. These factors are closely linked to colonization and maintenance of plant species richness on islands. We tested the metrics in spatial multi-predictor models accounting for area, climate, topography and island geology. Besides area, isolation was the second most important factor determining species richness on the studied islands. A model including the proportion of surrounding land area as the isolation metric had the highest predictive power, explaining 86.1% of the variation. Distances to large islands, stepping stone distances and distances to climatically similar landmasses performed slightly better than distance to the nearest mainland. The effect of isolation was weaker for large islands suggesting that speciation counteracts the negative effect of isolation on immigration on large islands. Continental islands were less affected by isolation than oceanic islands. Our results suggest that a variety of immigration mechanisms influence plant species richness on islands and we show that this can be detected at macro-scales. Although the distance to the nearest mainland is an adequate and easy-to-calculate measure of isolation, accounting for stepping stones, large islands as source landmasses, climatic similarity and the area of surrounding landmasses increases the explanatory power of isolation for species richness. |
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AbstractList | Isolation is a driving factor of species richness and other island community attributes. Most empirical studies have investigated the effect of isolation measured as distance to the nearest continent. Here we expanded this perspective by comparing the explanatory power of seventeen isolation metrics in sixty‐eight variations for vascular plant species richness on 453 islands worldwide. Our objectives were to identify ecologically meaningful metrics and to quantify their relative importance for species richness in a globally representative data set. We considered the distances to the nearest mainland and to other islands, stepping stone distances, the area of surrounding landmasses, prevailing wind and ocean currents and climatic similarity between source and target areas. These factors are closely linked to colonization and maintenance of plant species richness on islands. We tested the metrics in spatial multi‐predictor models accounting for area, climate, topography and island geology. Besides area, isolation was the second most important factor determining species richness on the studied islands. A model including the proportion of surrounding land area as the isolation metric had the highest predictive power, explaining 86.1% of the variation. Distances to large islands, stepping stone distances and distances to climatically similar landmasses performed slightly better than distance to the nearest mainland. The effect of isolation was weaker for large islands suggesting that speciation counteracts the negative effect of isolation on immigration on large islands. Continental islands were less affected by isolation than oceanic islands. Our results suggest that a variety of immigration mechanisms influence plant species richness on islands and we show that this can be detected at macro‐scales. Although the distance to the nearest mainland is an adequate and easy‐to‐calculate measure of isolation, accounting for stepping stones, large islands as source landmasses, climatic similarity and the area of surrounding landmasses increases the explanatory power of isolation for species richness. Isolation is a driving factor of species richness and other island community attributes. Most empirical studies have investigated the effect of isolation measured as distance to the nearest continent. Here we expanded this perspective by comparing the explanatory power of seventeen isolation metrics in sixty-eight variations for vascular plant species richness on 453 islands worldwide. Our objectives were to identify ecologically meaningful metrics and to quantify their relative importance for species richness in a globally representative data set. We considered the distances to the nearest mainland and to other islands, stepping stone distances, the area of surrounding landmasses, prevailing wind and ocean currents and climatic similarity between source and target areas. These factors are closely linked to colonization and maintenance of plant species richness on islands. We tested the metrics in spatial multi-predictor models accounting for area, climate, topography and island geology. Besides area, isolation was the second most important factor determining species richness on the studied islands. A model including the proportion of surrounding land area as the isolation metric had the highest predictive power, explaining 86.1% of the variation. Distances to large islands, stepping stone distances and distances to climatically similar landmasses performed slightly better than distance to the nearest mainland. The effect of isolation was weaker for large islands suggesting that speciation counteracts the negative effect of isolation on immigration on large islands. Continental islands were less affected by isolation than oceanic islands. Our results suggest that a variety of immigration mechanisms influence plant species richness on islands and we show that this can be detected at macro-scales. Although the distance to the nearest mainland is an adequate and easy-to-calculate measure of isolation, accounting for stepping stones, large islands as source landmasses, climatic similarity and the area of surrounding landmasses increases the explanatory power of isolation for species richness. [PUBLICATION ABSTRACT] |
Author | Weigelt, Patrick Kreft, Holger |
Author_xml | – sequence: 1 givenname: Patrick surname: Weigelt fullname: Weigelt, Patrick organization: Biodiversity, Macroecology and Conservation Biogeography Group, Univ. of Göttingen, Büsgenweg 1, DE-37077 Göttingen, Germany – sequence: 2 givenname: Holger surname: Kreft fullname: Kreft, Holger organization: Biodiversity, Macroecology and Conservation Biogeography Group, Univ. of Göttingen, Büsgenweg 1, DE-37077 Göttingen, Germany |
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Biogeogr. 9: 59-74. 2009; 84 1978; 33 1967; 21 2006; 33 2000; 9 1982; 54 2010; 463 1975; 56 1974; 1 2008; 35 2007; 30 2008; 31 1974; 6 1998; 152 2005; 25 2000; 408 2004; 31 2000; 124 1991; 42 2011; 20 2008; 23 2005; 32 2000; 287 2010; 3 2007; 21 1996; 5 2003; 84 1987; 48 2010; 33 1993; 47 2010; 37 2002; 297 2011 2006; 17 2006; 15 2008; 17 2005; 84 2009 2008 2007 2006 2008; 57 2004 2007; 94 2008; 11 2001; 28 2002 2012; 35 2011; 38 2003; 73 2004; 304 1980; 17 2009; 36 2001; 82 2007; 316 1977; 58 2005; 8 1988; 5 1969; 23 2010; 175 1983; 41 1967 2009; 106 e_1_2_6_74_1 e_1_2_6_53_1 e_1_2_6_32_1 e_1_2_6_70_1 e_1_2_6_30_1 e_1_2_6_72_1 e_1_2_6_19_1 e_1_2_6_13_1 e_1_2_6_36_1 e_1_2_6_59_1 e_1_2_6_11_1 e_1_2_6_34_1 e_1_2_6_17_1 e_1_2_6_55_1 e_1_2_6_38_1 e_1_2_6_57_1 e_1_2_6_62_1 e_1_2_6_64_1 e_1_2_6_43_1 e_1_2_6_20_1 e_1_2_6_41_1 e_1_2_6_60_1 e_1_2_6_9_1 e_1_2_6_5_1 e_1_2_6_7_1 e_1_2_6_24_1 e_1_2_6_49_1 e_1_2_6_3_1 e_1_2_6_22_1 e_1_2_6_66_1 e_1_2_6_28_1 e_1_2_6_45_1 e_1_2_6_26_1 e_1_2_6_47_1 e_1_2_6_68_1 e_1_2_6_52_1 e_1_2_6_73_1 MacArthur R. H. (e_1_2_6_51_1) 1967 e_1_2_6_54_1 e_1_2_6_75_1 e_1_2_6_10_1 e_1_2_6_31_1 e_1_2_6_50_1 Whittaker R. J. (e_1_2_6_71_1) 2007 Menemenlis D. (e_1_2_6_56_1) 2008; 31 e_1_2_6_14_1 e_1_2_6_35_1 e_1_2_6_12_1 e_1_2_6_33_1 Kissling W. D. (e_1_2_6_44_1) 2008; 17 e_1_2_6_18_1 e_1_2_6_39_1 e_1_2_6_16_1 e_1_2_6_37_1 e_1_2_6_58_1 e_1_2_6_63_1 e_1_2_6_42_1 e_1_2_6_65_1 e_1_2_6_21_1 e_1_2_6_40_1 e_1_2_6_61_1 e_1_2_6_8_1 Burnham K. P. (e_1_2_6_15_1) 2002 e_1_2_6_4_1 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_48_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_29_1 e_1_2_6_67_1 e_1_2_6_27_1 e_1_2_6_46_1 e_1_2_6_69_1 |
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SubjectTerms | Climate climatic zones Flowers & plants immigration islands oceans planting species diversity Studies topography wind |
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Title | Quantifying island isolation - insights from global patterns of insular plant species richness |
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