Influence of geographical distance and topographic difference on β diversity in two large-scale forest dynamics plots

doi:10.3724/SP.J.1003.2013.10049

Abstract

Abstract:

β diversity quantifies the extent of community compositional shift in a heterogeneous environment. To understand how β diversity is influenced by geographical distance and topographic variation in continuous space, we compared β diversity in two large-scale forest dynamics plots (FDPs). One of these is a 24 ha plot exhibiting complex topography in a subtropical evergreen broad-leaved forest at Gutianshan (GTS), China. The other is a 50 ha plot of comparatively simple topography present in a lowland tropical moist forest on Barro Colorado Island (BCI) in Panama. We investigated the influence of geographical distance and topographic difference on β diversity at four levels of grain. We adopted the 1-Chao-Jaccard index as a measure of β diversity, and performed tests such as Mantel and Partial Mantel tests to disentangle the effects of geographical distance, topographic variation and five topographical variables on β diversity. The results showed that in both plots β diversity was grain size dependent, decreasing as grain size increased. In both plots β diversity was significantly affected by geographical distance and topographic difference. Furthermore, the influence of geographical distance on β diversity showed a monotonic increase in both FDPs with increase in grain size. The effect of topography on β diversity was consistently larger in GTS than in BCI, and was manifested in GTS mainly through altitude and convexity at each grain size. Our results suggest the importance of both niche and dispersal processes in shaping β diversity patterns.

Key words: β diversity, subtropical evergreen broad-leaved forest, Gutianshan, tropical forest, Barro Colorado Island, topography, niche process, dispersal process

Pin Lu,Yi Jin,Jianhua Chen,Minghong Li,Mingjian Yu. Influence of geographical distance and topographic difference on β diversity in two large-scale forest dynamics plots[J]. Biodiv Sci, 2013, 21(5): 554-563.

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URL: https://www.biodiversity-science.net/EN/10.3724/SP.J.1003.2013.10049

https://www.biodiversity-science.net/EN/Y2013/V21/I5/554

Figures/Tables 10

Table 1 Background information about the Gutianshan plot and the Barro Colorado Island (BCI) plot

样地 Plot	大小 Size	经度 Longitude	纬度 Latitude	海拔 Elevation (m)	坡度 Slope
GTS	400 m (SN)×600 m (WE)	118°07.010′-118°07.400′ E	29°15.101′-29°15.344′ N	446.3-714.9	12.8°-62.0°
BCI	500 m (SN)×1,000 m (WE)	79°51.31'-79°51.318' W	9°9.075'-9°9.345' N	121.2-159.2	0.2°-19.4°

Fig. 1 Relationship between community similarity and distance at different grain sizes. a, b, c and d represent grain sizes of 10 m, 20 m, 40 m and 50 m, respectively. Black line indicates Gutianshan plot; Grey line indicates BCI plot.

Fig. 2 The Mantel-test derived correlation coefficients bet- ween beta diversity and geographical distance at each grain size in the Gutianshan (GTS) plot and Barro Colorado Island (BCI) plot. GTS and BCI, Topography uncontrolled; gts and bci, Topography controlled.

Fig. 3 The Mantel-test derived correlation coefficients bet- ween beta diversity and topographic difference at each grain size in the Gutianshan (GTS) plot and Barro Colorado Island (BCI) plot (* P<0.05, ** P<0.01, *** P<0.001). GTS and BCI, Geographical distance uncontrolled; gts and bci, Geographical distance controlled.

Fig. 4 The Partial Mantel-test derived correlation coefficients between beta diversity and each topographic variables (elevation, convexity, slope, EW aspect and SN aspect) at each grain sizes in the GTS plot and BCI plot (* P<0.05, ** P<0.01, *** P<0.001). a, Elevation; b, Slope; c, Convexity; d, Aspect 1 (East-West); e, Aspect 2 (North-South).

Fig. 5 The third-degree polynomial regressions fitting the relationship between community similarity and geographical distance and topographic difference. a, BCI plot; b, GTS plot; 1, 2, 3 and 4 represent grain sizes 10 m, 20 m, 40 m, and 50 m respectively. Grey line indicate observe values. Black line represents geographical distance fitting, the adjusted R2 from 10 m to 50 m grain size in GTS were 0.0211, 0.0351, 0.0710 and 0.0680, respectively, and in BCI were 0.0104, 0.0219, 0.0601 and 0.0875, respectively. Circles represent topography fitting, the adjusted R2 from 10 m to 50 m grain size in GTS were 0.0596, 0.1127, 0.1067 and 0.0821 respectively, and in BCI were 0.0083, 0.0010, 0.0212 and 0.0279 respectively. Dots represent the geographic distance and topography joint fitting, the adjusted R2 from 10 m to 50 m grain size in GTS were 0.0667, 0.1211, 0.1478 and 0.1303, respectively, and in BCI were 0.0126, 0.0219, 0.0584 and 0.0890, respectively. P<0.001 for all the above fitting results.

Appendix I World map showing the locations of the GTS plot and BCI plot

Appendix II Topographical map of the GTS plot

Appendix III Topographical map of the BCI plot

Appendix IV Linear regression fitting of the logged community similarity with geographical distance. a, BCI plot; b, Gutianshan plot; 1, 2, 3 and 4 represent grain size 10 m, 20 m, 40 m and 50 m respectively. BCI decay rate: -2.994×10-5/m, -1.295×10-4/m, -1.081×10-4/m and -1.073×10-4/m ; GTS decay rate: -1.152×10-4/m, -3.207×10-4/m, -2.345×10-4/m and -1.742×10-4/m .

References 44

1	Bacaro G, Gioria M, Ricotta C (2012) Testing for differences in beta diversity from plot-to-plot dissimilarities.Ecological Research, 27, 285-292.
2	Borcard D, Legendre P (2002) Allscale spatial analysis of ecological data by means of principal coordinates of neighbour matrices.Ecological Monographs, 153, 51-68.
3	Chao AN, Chazdon RL, Colwell RK, Shen TJ (2005) A new statistical approach for assessing similarity of species composition with incidence and abundance data.Ecology Letters, 8, 148-159.
4	Chen B (陈彬), Mi XC (米湘成), Fang T (方腾), Chen L (陈磊), Ren HB (任海保), Ma KP (马克平) (2009) Gutianshan Forest in Zhejiang: Tree Species and Their Distribution Patterns (浙江古田山森林: 树种及其分布). China Forestry Publishing House, Beijing. (in Chinese)
5	Chen SB (陈圣宾), Ouyang ZY (欧阳志云), Xu WH (徐卫华), Xiao Y (肖燚) (2010) A review of beta diversity studies.Biodiversity Science(生物多样性), 18, 323-335. (in Chinese with English abstract)
6	Condit R (1998) Tropical Forest Census Plots: Methods and Results from Barro Colorado Island, Panama and Comparison with Other Plots. Springer, Berlin.
7	Condit R, Pitman N, Leigh EG Jr, Chave J, Terborgh J, Foster RB, Nunez P, Aguilar S, Valencia R, Villa G, Muller- Landau HC, Losos E, Hubbell SP (2002) Beta-diversity in tropical forest trees.Science, 295, 666-669.
8	Cottenie K (2005) Integrating environmental and spatial proce- sses in ecological community dynamics.Ecology Letters, 8, 1175-1182.
9	Cressie N (1990) The origins of Kriging.Mathematical Geology, 22, 239-252.
10	Croat TB (1978) Flora of Barro Colorado Island. Stanford University Press, Stanford.
11	DeCáceres M, Legendre P, Valencia R, Cao M, Chang LW, Chuyong G, Condit R, Hao ZQ, Hsieh CF, Hubbell S Kenfack D, Ma KP, Mi XC, Noor NMS, Kassim AR, Ren HB, Su SH, Sun IF, Thomas D, Ye WH, He FL (2012) The variation of tree beta diversity across a global network of forest plots.Global Ecology and Biography, 21, 1191-1202.
12	Diggle PJ, Tawn JA, Moyeed RA (1998) Model-based geostatistics.Journal of the Royal Statistical Society: Series C (Applied Statistics), 47, 299-350.
13	Gilbert B, Jechowicz MJ (2004) Neutrality, niches, and dispersal in a temperate forest understory. Proceedings of the National Academy of Sciences,USA, 101, 7651-7656.
14	Girdler EB, Barrie BTC (2008) The scale-dependent importance of habitat factors and dispersal limitation in structuring Great Lakes shoreline plant communities.Plant Ecology, 198, 211-223.
15	González-Megías A, Gómez JM, Sánchez-Piñero F (2007) Diversity-habitat heterogeneity relationship at different spatial and temporal scales.Ecography, 30, 31-41.
16	Harms KE, Condit R, Hubbell SP, Foster RB (2001) Habitat associations of trees and shrubs in a 50-ha neotropical forest plot.Journal of Ecology, 89, 947-959.
17	Hooper ER, Legendre P, Condit R (2004) Factors affecting community composition of forest regeneration in deforested, abandoned land in Panama.Ecology, 85, 3313-3326.
18	Hubbell SP (2001) The Unified Neutral Theory of Biodiversity and Biogeography. Princeton University Press, Princeton.
19	Laliberté E, Paquette A, Legendre P, Bouchard A (2009) Assessing the scale-specific importance of niches and other spatial processes on beta diversity: a case study from a temperate forest.Oecologia, 159, 377-388.
20	Legendre P, Legendre LFJ (1998) Numerical Ecology. Elsevier, Amsterdam.
21	Legendre P, Borcard D, Peres-Neto PR (2005) Analyzing beta diversity: partitioning the spatial variation of community composition data.Ecological Monographs, 75, 435-450.
22	Legendre P (2007) Studying beta diversity: ecological variation partitioning by multiple regression and canonical analysis.Journal of Plant Ecology(植物生态学报), 31, 976-981. (in Chinese with English abstract)
23	Legendre P, Mi XC, Ren HB, Ma KP, Yu MJ, Sun YF, He FL (2009) Partitioning beta diversity in a subtropical broad-leaved forest of China.Ecology, 90, 663-674.
24	Leigh EG, Rand AS, Windsor DM (1982) The Ecology of a Tropical Forest: Seasonal Rhythms and Long-Term Changes. Smithsonian Institution Press, Washington, DC.
25	MacArthur RH (1965) Patterns of species diversity.Biological Reviews, 40, 510-533.
26	Mantel N (1967) The detection of disease clustering and a generalized regression approach.Cancer Research, 27, 209-220.
27	Morlon H, Chuyong G, Condit R, Hubbell S, Kenfack D, Thomas D, Valencia R, Green JL (2008) A general framework for the distance-decay of similarity in ecological communities.Ecology Letters, 11, 904-917.
28	Myers JA, Chase JM, Jiménez I, Jørgensen PM, Araujo-Murakami A, Zambrana P, Seidel R (2012) Beta-diversity in temperate and tropical forests reflects dissimilar mechanisms of community assembly.Ecology Letters, 16, 151-157.
29	Nekola JC, White PS (1999) The distance decay of similarity in biogeography and ecology.Journal of Biogeography, 26, 867-878.
30	Oksanen J, Kindt R, Legendre P, O’Hara RB, Stevens MHH (2010) Vegan: Community Ecology Package. R package version 1, 17-2. () (2013, 4, 4)
31	Reed A, Peet RK, Palmer MW, White PS (1993) Scale dependence of vegetation-environment correlations: a case study of a North Carolina piedmont woodland.Journal of Vegetation Science, 4, 329-340.
32	Seidler TG, Plotkin JB (2006) Seed dispersal and spatial pattern in tropical trees.PLoS Biology, 4, 2132-2137.
33	Shen GC, Yu MJ, Hu XS, Mi XC, Ren HB, Sun YF, Ma KP (2009) Species-area relationships explained by the joint effects of dispersal limitation and habitat heterogeneity.Ecology, 90, 3033-3041.
34	Soininen J, Lennon JJ, Hillebrand H (2007) A multivariate analysis of beta diversity across organisms and environ- ments.Ecology, 88, 2830-2838.
35	Steinitz O, Heller J, Tsoar A, Rotem D, Kadmon R (2005) Predicting regional patterns of similarity in species composition for conservation planning.Conservation Biology, 19, 1978-1988.
36	Steinbauer MJ, Dolos K, Reineking B, Beierkuhnlein C (2012) Current measures for distance decay in similarity of species composition are influenced by study extent and grain size.Global Ecology and Biogeography, 21, 1203-1212.
37	Tang ZY, Fang JY, Chi XL, Yang YH, Ma WH, Mohhamot A, Guo ZD, Liu YN, Gaston KJ (2012) Geography, environment, and spatial turnover of species in China’s grasslands.Ecography, 35, 1103-1109.
38	Tuomisto H, Ruokolainen K, Yli-Halla M (2003) Dispersal, environment, and floristic variation of western Amazonian forests.Science, 299, 241-244.
39	Tuomisto H, Ruokolainen K (2006) Analyzing or explaining beta diversity? Understanding the targets of different methods of analysis.Ecology, 87, 2697-2708.
40	Valencia R, Foster RB, Villa G, Condit R, Svennings JC, Hernandez C, Romoleroux K, Losos E, Magards E, Balslev H (2004) Tree species distributions and local habitat variation in the Amazon: large forest plot in eastern Ecuador.Ecology, 92, 214-229.
41	Vellend M (2001) Do commonly used indices of β-diversity measure species turnover? Vegetation Science, 12, 545-552.
42	Whittaker RH (1956) Vegetation of the great smoky mountains.Ecological Monographs, 26, 1-80.
43	Whittaker RH (1960) Vegetation of the Siskiyou Mountains, Oregon and California.Ecological Monographs, 30, 279-338.
44	Whittaker RH (1972) Evolution and measurement of species diversity.Taxon, 21, 213-251.

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