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  • 1 University of Campinas — UNICAMP Plant Biology Graduate Course, Institute of Biology P.O.Box 6109 13083-970 Campinas, SP Brazil
  • | 2 Forest Institute — IF State Forest of Avaré P.O.Box 278 18701-180 Avaré, SP Brazil
  • | 3 University of Campinas — UNICAMP Department of Statistics, Institute of Mathematics, Statistics and Computer Science P.O. Box 6065 13083-970 Campinas, SP Brazil
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Among other objectives, forest inventories are aimed to identify ecological communities and to correlate community composition with environmental variables. The identification of different communities would require several forest inventories, each covering small sampling areas with relatively homogeneous environmental conditions. The multiple plot sampling method, traditionally used in local inventories of tropical forests, cannot assure such homogeneity, since even small sampling areas would show environmental heterogeneity influencing vegetation. In this paper we assessed the consequences of this heterogeneity for sampling by quantifying the variability of species abundance ranks for species sampled with 10 or more individuals in a set of plots covering a small sampling area. The species reference abundance ranks were obtained from a sample of 100 plots of 10 m × 10 m each randomly set in a sampling area of 6.5 ha in a tropical forest fragment (Southeastern Brazil). For each species we used resamplings (30 trials) to obtain the species abundance ranks in sub-samples, considering different sampling intensities (n = 25, 50 and 75 plots), and compared these ranks with the species reference rank (n = 100 plots). Then, we compared the species ranks in sub-samples of 50 plots (10.000 trials) with the reference rank and assessed the frequency and extent of rank displacements. Species rank was highly variable across resampling trials for the sampling intensities of n = 25 and n = 50, but decreased considerable with a sampling intensity of n = 75 plots. The mean rank variability and especially the maximum displacement raised significantly from the seventh most abundant species on, and some species occupied quite discrepant abundance ranks in up to 10% of the 10.000 resampling trials. This high internal variability of forest samples may impair the search for floristic patterns as scale lessens, say, to the meso-scale (1–100 km2). We discussed some possible ways to increase internal homogeneity of tropical forest samples with the multiple plot sampling method. Among these, objective entitation, based on an ancient phytosociological procedure, is suggested as the most appropriate for use on the hilly relieves of the Atlantic forest biome.

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Senior editors

Editor(s)-in-Chief: Podani, János

Editor(s)-in-Chief: Jordán, Ferenc

Honorary Editor(s): Orlóci, László

Editorial Board

  • Madhur Anand, CAN (forest ecology, computational ecology, and ecological complexity)
  • S. Bagella, ITA (temporal dynamics, including succession, community level patterns of species richness and diversity, experimental studies of plant, animal and microbial communities, plant communities of the Mediterranean)
  • P. Batáry, HUN (landscape ecology, agroecology, ecosystem services)
  • P. A. V. Borges, PRT (community level patterns of species richness and diversity, sampling in theory and practice)
  • A. Davis, GER (supervised learning, multitrophic interactions, food webs, multivariate analysis, ecological statistics, experimental design, fractals, parasitoids, species diversity, community assembly, ticks, biodiversity, climate change, biological networks, cranes, olfactometry, evolution)
  • Z. Elek, HUN (insect ecology, invertebrate conservation, population dynamics, especially of long-term field studies, insect sampling)
  • T. Kalapos, HUN (community level plant ecophysiology, grassland ecology, vegetation-soil relationship)
  • G. M. Kovács, HUN (microbial ecology, plant-fungus interactions, mycorrhizas)
  • W. C. Liu,TWN (community-based ecological theory and modelling issues, temporal dynamics, including succession, trophic interactions, competition, species response to the environment)
  • L. Mucina, AUS (vegetation survey, syntaxonomy, evolutionary community ecology, assembly rules, global vegetation patterns, mediterranean ecology)
  • P. Ódor, HUN (plant communities, bryophyte ecology, numerical methods)
  • F. Rigal, FRA (island biogeography, macroecology, functional diversity, arthropod ecology)
  • D. Rocchini, ITA (biodiversity, multiple scales, spatial scales, species distribution, spatial ecology, remote sensing, ecological informatics, computational ecology)
  • F. Samu, HUN (landscape ecology, biological control, generalist predators, spiders, arthropods, conservation biology, sampling methods)
  • U. Scharler, ZAF (ecological networks, food webs, estuaries, marine, mangroves, stoichiometry, temperate, subtropical)
  • D. Schmera, HUN (aquatic communities, functional diversity, ecological theory)
  • M. Scotti, GER (community-based ecological theory and modelling issues, trophic interactions, competition, species response to the environment, ecological networks)
  • B. Tóthmérész, HUN (biodiversity, soil zoology, spatial models, macroecology, ecological modeling)
  • S. Wollrab, GER (aquatic ecology, food web dynamics, plankton ecology, predator-prey interactions)

 

Advisory Board

  • S. Bartha, HUN
  • S.L. Collins, USA
  • T. Czárán, HUN
  • E. Feoli, ITA
  • N. Kenkel, CAN
  • J. Lepš, CZE
  • S. Mazzoleni, ITA
  • Cs. Moskát, HUN
  • B. Oborny, HUN
  • M.W. Palmer, USA
  • G.P. Patil, USA
  • V. de Patta Pillar, BRA
  • C. Ricotta, ITA
  • Á. Szentesi, HUN

PODANI, JÁNOS
E-mail: podani@ludens.elte.hu


JORDÁN, FERENC
E-mail: jordan.ferenc@gmail.com

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Community Ecology
Language English
Size A4
Year of
Foundation
2000
Volumes
per Year
1
Issues
per Year
2
Founder Akadémiai Kiadó
Founder's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1585-8553 (Print)
ISSN 1588-2756 (Online)