Insights for selecting the most suitable nonparametric species-richness estimators for subtropical Brazilian Atlantic Forests

Oliveira, Laio Zimermann; Moser, P.H.; Vibrans, Alexander Christian; Piazza, Gustavo Antônio; Gasper, André Luís de; Filho, Ary T. Oliveira

doi:10.1007/s40415-016-0269-8

Cited by 7 publications

(7 citation statements)

References 49 publications

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“…The Subtropical Rainforest of Santa Catarina is inserted in the Serra do Mar endemism center (Silva & Casteleti, 2003), and the aforementioned statistics seem to support this fact. Our results add dimension to the findings of Rezende, Oliveira-Filho, Eisenlohr, Kamino, and Vibrans (2014), who pointed that ∼72% of Santa Catarina’s tree species have restrict geographical distribution (see also Oliveira et al., 2016). The species records summarized in our study corresponds to 65% of the species recorded by the Forest and Floristic Inventory of Santa Catarina, a systematic regional scale survey conduct in 418 sample plots (0.4 ha) among the state (Gasper et al., 2014).…”

Section: Discussionsupporting

confidence: 85%

Paradox Between Species Diversity and Conservation

Maçaneiro

Oliveira

Eisenlohr

et al. 2016

Tropical Conservation Science

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One way to draw attention to an area regarding conservation is to declare it as an Atlantic Forest Biosphere Reserve (RBMA). In this article, we analyzed attributes related to different forest remnants, including the only RBMA of Santa Catarina state (Brazil), a modified old-growth Subtropical Atlantic Forest remnant. We brought evidences that patterns of distribution of species abundance and species diversity are influenced by highly dominant species. We found a relevant proportion of endemic tree/shrub species and three endangered species. These findings demonstrate the relevant biodiversity of the Subtropical Atlantic Forest of Santa Catarina. The diversity profiles of the RBMA and other areas overlapped. This finding, which has an important conservational implication that the tree species diversity in these areas is similar. Therefore, we concluded that the areas considered in our study deserve attention regarding biological conservation. New priority areas for conservation are necessary, and the establishment of new RBMA may be a way to achieve this goal.

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Section: Discussionsupporting

confidence: 85%

Paradox Between Species Diversity and Conservation

Maçaneiro

Oliveira

Eisenlohr

et al. 2016

Tropical Conservation Science

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“…This possibility of missing species when working with observed data demonstrates the importance of species richness estimation models when working with field study datasets. This finding is in line with other studies, which have shown that in forest ecosystems with a high biodiversity the observed richness is severely under‐representing alpha diversity (Oliveira et al., 2016; Peretti & Bonato, 2018; Scharff et al., 2003). The significant difference between our estimated and observed number of species could be explained by three effects: methodological, spatial, and temporal edge effect.…”

Section: Discussionsupporting

confidence: 92%

Patterns of richness across forest beetle communities—A methodological comparison of observed and estimated species numbers

Haack

Grimm‐Seyfarth

Schlegel

et al. 2020

Ecology and Evolution

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“…Using the IFFSC data, Rezende et al (2014) showed that ~72 % of the tree species growing in Santa Catarina present a restricted geographical distribution. A simulation based on the IFFSC data revealed the species recording capacity of two grids with different densities: when nonparametric species richness estimators were applied using data from a 20 km × 20 km grid, richness estimates were even smaller than the observed richness attained by a 10 km × 10 km grid (Oliveira et al, 2016). Moreover, another challenge is related to the botanical identification of material collected in highly diverse forests.…”

Section: Insights On Floristic Representativenessmentioning

confidence: 99%

“…In summary, our findings suggest that a thorough sampling effort is required to generate reliable species richness estimates at the forest type level. Even though nonparametric estimators may suffice as feasible and low-biased tools for the Brazilian NFI (Oliveira et al, 2016), it is worth considering that their estimates are never greater than twice the value recorded in the sample plots (Smith and van Belle, 1984). Moreover, Gardner (2010) states that the lack of reliable data regarding species diversity will prevent the establishment of management strategies and definition of priority areas for conservation.…”

Section: Insights On Floristic Representativenessmentioning

confidence: 99%

Insights from a large-scale inventory in the southern Brazilian Atlantic Forest

Vibrans

Gasper

Moser

et al. 2020

Sci. agric. (Piracicaba, Braz.)

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A key issue in large-area inventories is defining a suitable sampling design and the effort required to obtain reliable estimates of species richness and forest attributes, especially in species-diverse forests. To address this issue, data from 418 systematically distributed 0.4 ha plots were collected. Estimators of nonparametric species richness were employed to assess the floristic representativeness of data collected in three forest types in the Brazilian Atlantic Forest. The sampling sufficiency of forest attributes was evaluated as a function of sample size. Altogether, 831 tree/shrub species were recorded. The data acquired through the systematic sampling design were representative of both species richness and basal area. The confidence intervals' length would not substantially decrease by using more than 70 % of the reference sample (n = 364), thereby reaching a length of ~5 % of the sample mean. Nevertheless, reliable estimates of species richness for diverse forests demand a thorough sampling approach far more exacting so as to achieve acceptable population estimates of forest attributes. Though the study area is regarded as a biodiversity hotspot, the forest stands showed diminished species richness, basal area, stem volume and biomass when compared to old-growth stands. As regards species richness, the data provided evidence of contrasting great γ-diversity (at the forest type level) and small α-diversity (at the forest stand level). Amongst anthropic impacts, illegal logging and extensive cattle grazing within stands are undoubtedly key factors that threaten forest conservation in the study area.

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Insights for selecting the most suitable nonparametric species-richness estimators for subtropical Brazilian Atlantic Forests

Cited by 7 publications

References 49 publications

Paradox Between Species Diversity and Conservation

Paradox Between Species Diversity and Conservation

Patterns of richness across forest beetle communities—A methodological comparison of observed and estimated species numbers

Insights from a large-scale inventory in the southern Brazilian Atlantic Forest

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