Measurement and Analysis of Biodiversity

Leitner, Wade; Turner, Will R.

doi:10.1016/b978-0-12-384719-5.00093-9

Cited by 10 publications

(13 citation statements)

References 21 publications

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“…(Conceptually, this amounts to obtaining estimates of S at each point on the species‐area curve, not extrapolating the entire curve.) However, no existing richness estimator can completely correct such effects, or even partially do so in a sample‐size independent manner (Leitner and Turner 2000). Perhaps in the future a robust, efficient estimator might exist which overcomes sample‐size effects.…”

Section: Factors Producing Species‐area Relationshipsmentioning

confidence: 99%

Scale‐dependence in species‐area relationships

Turner

Tjørve²

2005

Ecography

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179

191

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Species‐area relationships (SARs) are among the most studied phenomena in ecology, and are important both to our basic understanding of biodiversity and to improving our ability to conserve it. But despite many advances to date, our knowledge of how various factors contribute to SARs is limited, searches for single causal factors are often inconclusive, and true predictive power remains elusive. We believe that progress in these areas has been impeded by 1) an emphasis on single‐factor approaches and thinking of factors underlying SARs as mutually exclusive hypotheses rather than potentially interacting processes, and 2) failure to place SAR‐generating factors in a scale‐dependent framework. We here review mathematical, ecological, and evolutionary factors contributing to species‐area relationships, synthesizing major hypotheses from the literature in a scale‐dependent context. We then highlight new research directions and unanswered questions raised by this scale‐dependent synthesis.

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Section: Factors Producing Species‐area Relationshipsmentioning

confidence: 99%

Scale‐dependence in species‐area relationships

Turner

Tjørve²

2005

Ecography

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179

191

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“…Species diversity is an important factor for the stability and proper functioning of ecosystems and plays a critical role in the assessment of human impact on ecological systems (Leitner and Turner 2001;Schläpfer et al 1999). The analysis of species diversity in five plant communities indicated that the higher number of species per plot has occurred in Pouteria adolfi-friederici-Schefflera abyssinica community).…”

Section: Indicator Plant Speciesmentioning

confidence: 99%

Floristic composition and vegetation community analysis of Gesha and Sayilem Forest in Kaffa Zone south western Ethiopia

Addi

Soromessa

Bareke³

2020

Biodiversitas

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Abstract. Addi A, Soromessa T, Bareke T. 2020. Plant diversity and community analysis of Gesha and Sayilem Forest in Kaffa Zone, southwestern Ethiopia. Biodiversitas 21: 2878-2888. The study was conducted at Gesha and Sayilem districts of the Kaffa Zone with the objective of identifying the floristic compositions, plant community types, and associated environmental factors of the forest. Stratified random sampling technique was used. A total of 90 plots were used to collect vegetation data. The plant community classification was performed using agglomerative Hierarchical cluster analysis Ward’s linkage method was applied in R-software. Species diversity and evenness were evaluated using the Shannon diversity and evenness indices respectively. The study revealed that the study area composed of 300 species that belong to 239 genera in 96 families. Asteraceae was the most abundant family followed by Fabaceae, Acanthaceae, Poaceae, Rubiaceae, and Euphorbiaceae accounting 37%, 15%, 14%, 13%, 12%, and 9% respectively. Five plant community types were identified and these were Ilex mitis-Syzygium guineense, Pouteria adolfi-friedericii-Schefflera abyssinica, Millettia ferruginea-Sapium ellipticum, Arundinaria alpina and Schefflera volkensii-Masea-lanceolata community types. Among the community types, Pouteria adolfi-friedericii-Syzygium guineense community was the most diverse whereas Arundinaria alpina community was the least diverse community. Canonical Correspondence of vegetation data analysis indicated that altitude, disturbance, slope, phosphorus, and the electrical conductivity were the environmental factors that significantly influence the plant communities. The high dependency of local communities on the forest resources is affecting the plant biodiversity. Thus, conservation of the forest through the introduction of sustainable forest management interventions including participatory forest management seems an appropriate action.

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“…Historically, the concept of biodiversity has been nearly equivalent to the number of species in a local assemblage (Sarkar, 2002;Tucker, 2005;Leitner and Turner, 2013). Knowing species richness is a legitimate objective in ecology and conservation biology (Colwell and Coddington, 1994;Gotelli and Colwell, 2001;Leitner and Turner, 2013), but equality between biodiversity and species richness is inaccurate (Swingland, 2013). In addition to the total number of species, the measurement of biodiversity should include information about the relative importance (equitability) of the species in the studied assemblage (Gotelli and Colwell, 2011).…”

Section: Introductionmentioning

confidence: 99%

Efficient vs. structured biodiversity inventories: reptiles in a Mexican dry scrubland as a case study

Caballero¹,

González‐Oreja²

2018

Anim. Biodiv. Conserv.

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Efficient vs. structured biodiversity inventories: reptiles in a Mexican dry scrubland as a case study. Many sampling methods allow the study of species richness and diversity in biological communities, but it is not known whether a single method can determine both the number and diversity of species in an unbiased and efficient way. Here we assess whether the least biased and most efficient method to determine reptile species richness in a Mexican dry scrubland is also the best method to estimate species diversity. The local assemblage was composed of 10 species, with the Mexican mud turtle (Kinosterton integrum) and the Jalapa spiny lizard (Sceloropus jalapae) being the dominant ones. Microhabitat surveys (MHS) were the most accurate and the most efficient method to estimate species richness, but they overestimated species diversity (+67.1 %) as much as the other sampling methods, i.e., transect surveys and pitfall-trap stations, underestimated it (-59 %). Our study shows that the best sampling method to determine the number of species in local assemblages may not be the best method to study species diversity. Although combining different sampling methods can increase the project costs in terms of time, effort and money, the use of structured inventories is recommended for the analysis of species diversity.

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Measurement and Analysis of Biodiversity

Cited by 10 publications

References 21 publications

Scale‐dependence in species‐area relationships

Scale‐dependence in species‐area relationships

Floristic composition and vegetation community analysis of Gesha and Sayilem Forest in Kaffa Zone south western Ethiopia

Efficient vs. structured biodiversity inventories: reptiles in a Mexican dry scrubland as a case study

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