Species accumulation curves and the measure of sampling effort

Willott, S. J.

doi:10.1046/j.1365-2664.2001.00589.x

Cited by 102 publications

(79 citation statements)

References 10 publications

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“…We first tested for differences in bird and bat species richness between habitats (cabrucas vs. forest fragments) and landscapes (Ilhe´us vs. Una) as well as interactions between these two factors, by Analysis of Covariance (ANCOVA), using sample size (captures in bats, registers of calls for birds) as a covariate because of its well-known effect on species richness (Willott 2001). We confirmed the existence of linear relationships between species richness and sample size (log transformed data) of bats (n = 18; r 2 = 0.615; p < 0.001) and birds (n = 20; r 2 = 0.660; p < 0.001).…”

Section: Discussionmentioning

confidence: 99%

Bat and Bird Assemblages from Forests and Shade Cacao Plantations in Two Contrasting Landscapes in the Atlantic Forest of Southern Bahia, Brazil

et al. 2006

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In the core region of Brazilian cocoa production, shade cacao plantations (so-called cabrucas) are important components of regional landscapes, constituting potential habitat for a vast array of the regional biota. This research focuses on the ability of cabrucas to harbor bird and bat species in two nearby districts -Una and Ilhe´us -with contrasting landscapes. At Una, cabrucas represent less than 6% of the land and are surrounded by large tracts of forest, whereas at Ilhe´us these shade plantations are the landscape's dominant feature. Bird and bat communities were richer in cabrucas located in Una compared to nearby forest, while cabrucas from the Ilhe´us landscape were significantly poorer in species than nearby forest fragments. However, bird assemblages in cabrucas were characterized by the loss of understory specialists and the increase of more open area and generalist species, whereas forest dwellers still comprised most of the bat species reported in cabrucas. Species richness and composition differed between the two landscapes. Forest fragments and cabrucas from Ilhe´us harbored fewer forest-dwelling species than similar habitats in Una. Our study shows that cabrucas support high species richness of birds and bats from the native assemblages but are no surrogates for intact forests, since the presence and representativeness of some forest species apparently depends on the existence of nearby forests. A landscape dominated by cabrucas with a minor portion of native forest is unlikely to ensure longterm conservation of many target species, particularly those of major conservation concern.

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Section: Discussionmentioning

confidence: 99%

Bat and Bird Assemblages from Forests and Shade Cacao Plantations in Two Contrasting Landscapes in the Atlantic Forest of Southern Bahia, Brazil

et al. 2006

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“…This relationship is fitted to a function, which relates the species accumulation with the sampling effort carried out (Sobero´n and Llorente 1993;Colwell and Coddington 1994;Leo´n-Corte´s et al 1998;Moreno and Halffter 2000;Gotelli and Colwell 2001). These curves have been used as a tool to predict total species richness by extrapolating the function found to its asymptote, but its utility is still being debated (see for example Colwell and Coddington 1994;Gotelli and Colwell 2001;Willott 2001;Moreno and Halffter 2001;Hortal et al 2004). However, it is well known that they are very useful in determining the present rate of finding new species for the inventory.…”

Section: Stage 2: Assessing Sampling-effort Levelmentioning

confidence: 98%

An ED-based Protocol for Optimal Sampling of Biodiversity

2005

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While conservation planning requires good biodiversity data, our knowledge of most living groups is scarce and patchy even in well-sampled regions. Therefore, we need methodologies for rapid assessments for particular groups and regions. Maps of any biodiversity surrogate can be interpolated from even a few well-known sites, but such places are usually lacking. We therefore propose a protocol for designing field surveys to obtain good coverage of pattern variations of biodiversity in a given region. To represent biodiversity patterns comprehensively, we use a rule step site-allocation procedure, partially based on Faith and Walker's ED criterion that takes environmental and spatial variation into account, together with other criteria such as survey costs. A preliminary assessment of the adequacy of this site sampling strategy is made. Then a set of complementary sites is selected for further sampling. Using the ED criterion, during the stepwise process a p-median analysis is applied both to an environmental distance matrix and to a spatial distance matrix, to maximize the amount of variation covered by our survey planning. This rule-set allocation procedure is integrated into a continuous sampling design protocol directed to ensure we can sample all biodiversity of a region. This protocol requires the gathering of both biological and environmental information, an assessment of previously available information, the choice of sampling methods and dates, and a continuous assessment of the success of the survey being carried out. An example of the application of this protocol to the survey design of dung beetle (Coleoptera, Scarabaeoidea) diversity in the Comunidad de Madrid (Spain) is included.

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“…The R 2 value (parameter directly proportional to the goodness of fit) was R 2 >96% for the three years. Species-accumulation curves constitute a useful tool in biodiversity studies (Moreno & Halffter, 2000;Willott, 2001) since they i) give reliability to biological inventories and make them comparable, ii) estimate the sampling effort required for a reliable inventory, and iii) extrapolate the number of species in an inventory to estimate the total number of species in an area (Soberón & Llorente, 1993;Colwell & Coddington, 1994;Gotelli & Colwell, 2001;Jiménez & Hortal, 2003). In our case, the primary purpose of constructing accumulation curves was to evaluate the sampling intensity.…”

Section: Accumulation Curves and Evaluation Of The Sampling Intensitymentioning

confidence: 99%

Methodological considerations in discriminating olive-orchard management type using olive-canopy arthropod fauna at the level of order

Jerez-Valle

García-López

Campos

et al. 2015

Span. j. agric. res.

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The cultivation of the olive tree (Olea europaea L.) has great importance in the entire Mediterranean basin, so that the implementation of organic practices in their management directly affects the sustainability of the agricultural system. Bioindication with arthropods can help to detect the different agricultural practices. In this work, we analyse the most appropriate methodology for discriminating between management using arthropods at the taxonomic level of order, with the novelty of taking into account the weather conditions to select the sampling dates. Between 12 and 15 sampling stations (depending on the year) were selected from olive orchards belonging to organic, conventional non-tillage, and strict conventional management, being sampled by beating the canopy fortnightly in the spring-summer period of 2007, 2008 and 2009. Organic management was more abundant and richer than the rest for the three years. Most groups with significant differences in terms of relative abundance were more abundant in organic orchard, except Neuroptera. Finally, different discriminant methods were evaluated (Linear Discriminant Analysis, Multiple Discriminant Analysis, and Support Vector Machine) with several different data sets. The discriminant analysis with interannual variability reached 97.9% accuracy in differentiating between organic and non-organic management using the LDA method, considering the taxa with significant differences from the abundance, excluding pests, and using samples with more uniform and stable weather patterns (late summer).Additional key words: bioindication; conventional; discriminant analysis; meteorological conditions; non-tillage; organic. Abbreviations used: CON (conventional production); FR% (percentage of individuals recorded); K-W (Kruskal-Wallis nonparametric test); LDA (Linear Discriminant Analysis); m (slope of the line); MDA (Multiple Discriminant Analysis); Me (median); n (number of sample units used); n (m=0.1) (number of samples required for a slope of 0.1); N (absolute abundance of arthropods); NonORG (non-organic production); NS (not significant); NT (conventional non-tillage production); ORG (organic production); Q1 (first quartile); Q3 (third quartile); SD (standard deviation); S obs (observed number of orders); SVM (Support Vector Machine); TNO (total number of orders); X̅ ORG , X̅ NT or X̅ CON (mean abundance per station of each management type).Citation: Jerez-Valle, C.; García-López, P. A.; Pascual, F. (2015). Methodological considerations in discriminating olive-orchard management type using olive-canopy arthropod fauna at the level of order. Spanish Journal of Agricultural Research, Volume 13, Issue 4, e0304, 14 pages. http://dx.doi.org/10.5424/sjar/2015134-6588.This work has one supplementary figure and two supplementary tables published online alongside the electronic version of the article.

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Species accumulation curves and the measure of sampling effort

Cited by 102 publications

References 10 publications

Bat and Bird Assemblages from Forests and Shade Cacao Plantations in Two Contrasting Landscapes in the Atlantic Forest of Southern Bahia, Brazil

Bat and Bird Assemblages from Forests and Shade Cacao Plantations in Two Contrasting Landscapes in the Atlantic Forest of Southern Bahia, Brazil

An ED-based Protocol for Optimal Sampling of Biodiversity

Methodological considerations in discriminating olive-orchard management type using olive-canopy arthropod fauna at the level of order

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