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Boulinier, T., J.D. Nichols, J.R. Sauer, J.E. Hines and K.H. Pollok. 1998. Estimating species richness: The importance of heterogeneity in species detectability. Ecology 79: 1018-1028. Estimating species richness: The importance of

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. 2007. Multi-stage cluster sampling for estimating average species richness at different spatial grains. Community Ecol . 8: 119–127. Chiarucci A. Multi-stage cluster sampling for

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B. A. Maurer. 1993. Energy supply and patterns of species richness on local and regional scales, in Ricklefs, R. E. and D. Schluter (eds.), Species Diversity in Ecological Communities: Historical and Geographical Perspectives. University of Chicago

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Community Ecology
Authors: T. Romanuk, B. Beisner, A. Hayward, L. Jackson, J. Post, and E. McCauley

Colwell, R.K. and D.C. Lees. 2000. The mid-domain effect: geometric constraints on the geography of species richness. TREE 15: 70–76. Lees D.C. The mid-domain effect: geometric

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. 6 627 636 Pausas, J. G. 1994. Species richness patterns in the understorey of Pyrenean Pinus sylvestris forest. J. Veg. Sci. 5

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The geographical patterns of tree species richness in forest communities have been studied widely, but little is known about the geographical variation of the estimated species richness and minimum areas using species-area curves. A differential technique based on the species-area relationships (SAR) was developed for estimating the minimum area (Amin) capturing 60- 80% of the species in each plot, which is an important characteristic of a forest community. The relationship between estimated species richness (ESR) from the SAR and the corresponding minimum area is described by the linear model ESR = 0.0051×Amin (R2 = 0.98, p < 0.0001). Both the ESR and the minimum area exhibit similar geographical variations with a significant increase along altitudinal and a decrease along latitudinal gradients. The spatial variations of the ESR were partitioned into three geographical components and their combined effects. Altitude accounted for 40% and 45% of the total variation in the ESR and the minimum area, respectively. While latitude accounted for 69% and 61% of the total variation in the ESR and the minimum area, respectively. Thus, latitude is the main determinant which influences the geographical variation of the ESR. As far as we know, this study presents the first report of the geographical patterns of the minimum area in temperate forests.

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Biometrika 65 625 633 Bini, L.M., S.M. Thomaz and D.C. Souza. 2001. Species richness and β-diversity of aquatic

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, M. Carnol, R. Merckx, I. Nijs and R. Ceulemans. 2006. How do climate warming and plant species richness affect water use in experimental grasslands? Plant Soil 288:249–261. Ceulemans R

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between species richness and productivity? Ecology 82:2381-2396. What is the observed relationship between species richness and productivity Ecology 82

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Hortal, J., P.A.V. Borges and C. Gaspar. 2006. Evaluating the performance of species richness estimators: sensitivity to sample grain size. J. Animal Ecol. 75: 274–287. Gaspar C

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