Spatial Pattern and Ecological Process Difference Analyses of the Boundary Habitats of a Treeline Patch: A Case Study from the Li Mountain, North China
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- Janneke Hille Ris Lambers & James S. Clark & Brian Beckage, 2002. "Density-dependent mortality and the latitudinal gradient in species diversity," Nature, Nature, vol. 417(6890), pages 732-735, June.
- Nuno Carvalhais & Matthias Forkel & Myroslava Khomik & Jessica Bellarby & Martin Jung & Mirco Migliavacca & Mingquan Μu & Sassan Saatchi & Maurizio Santoro & Martin Thurner & Ulrich Weber & Bernhard A, 2014. "Global covariation of carbon turnover times with climate in terrestrial ecosystems," Nature, Nature, vol. 514(7521), pages 213-217, October.
- Rasmus Plenge Waagepetersen, 2007. "An Estimating Function Approach to Inference for Inhomogeneous Neyman–Scott Processes," Biometrics, The International Biometric Society, vol. 63(1), pages 252-258, March.
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Keywords
Betula albo-sinensis ; Betula utilis ; null model; Pinus armandii ; spatial pattern; treeline patch;All these keywords.
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