Estimating Species Richness of Tropical Bird Communities from Rapid Assessment Data

Herzog, Sebastián K.; Kessler, Michael

doi:10.2307/4089971

Cited by 53 publications

(93 citation statements)

References 46 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In 2004 and 2005, further intensive effort was focused on most subregions where we accessed remote areas to add to existing lists. We used a 'standardized search' method covering all the microhabitats we could locate in each subregion (Fjeldsa, 1999;Herzog et al, 2002;Watson, 2003). During standardized searches, an experienced observer walked throughout each site so that secretive species, that might go unnoticed on point counts, could be detected (Verner, 1985;Terborgh et al, 1990;Fjeldsa, 1999;Robinson, 1999;Robinson et al, 2000;Herzog et al, 2002;Watson, 2003).…”

Section: Methods Of Surveyingmentioning

confidence: 99%

“…Nonparametric estimators provide robust estimations of total species richness by including species not present in any sample (based on the assumption that the greater number of rare species in a sample, the more likely it is that other species are present that were not detected; Colwell & Coddington, 1994;Gotelli & Colwell, 2001;. To do this, we used the 20-species list method, which is based on creating series of lists of individuals with 20 species in them (Herzog et al, 2002). The cumulative number of species observed is plotted as a function of the number of 20-species lists pooled to produce a curve that approaches an asymptote when all species have been observed.…”

Section: Methods Of Surveyingmentioning

confidence: 99%

“…The cumulative number of species observed is plotted as a function of the number of 20-species lists pooled to produce a curve that approaches an asymptote when all species have been observed. For sparse data sets (subregions with little forest and few forest bird species), we used a 10-species list method (Herzog et al, 2002). To perform the estimation, we chose MMMean tests , which provided the most consistent estimates from our field data (see also Herzog et al, 2002).…”

Section: Methods Of Surveyingmentioning

confidence: 99%

See 2 more Smart Citations

Environmental correlates of avian diversity in lowland Panama rain forests

Rompré

Robinson

Desrochers

et al. 2007

Journal of Biogeography

View full text Add to dashboard Cite

Aim The composition of communities is known to be influenced by biogeographical history, but also by local environmental conditions. Yet few studies have evaluated the relative importance of the direct and indirect effects of multiple factors on species diversity in rich Neotropical forests. Our study aims to assess drivers of change in local bird species richness in lowland tropical rain forests.Location Thirty-two physiographic subregions along the corridor of the Panama Canal, Panama.Methods We mapped the distributions of all forest-dwelling bird species and quantified the environmental characteristics of all subregions, including mean annual rainfall, topographic complexity, elevational variability, forest age and forest area. Plant species richness, believed to be correlated with structural complexity, was estimated by interpolation through kriging for subregions where data were unavailable.Results The study region has a strong rainfall gradient across a short distance (65 km), which is also accompanied by steep gradients in plant and bird species diversity. Path analysis showed that precipitation strongly affected plant species diversity, which in turn affected avian diversity. Forest age and topography affected bird diversity independently of plant diversity. Forest area and its proportion occurring in the largest two fragments of each subregion (habitat configuration) were also positive correlates of bird species richness.Main conclusions Our results suggest that plant species richness, known to be influenced in part by biogeographical history and geology, also affects bird species assemblages locally. We provide support for the hypothesis that bird species richness increases with structural complexity of the habitat. Our analysis of the distributions of the region's most disturbance-sensitive bird species showed that subregions with more rainfall, more complex topography and older forests harboured not only richer communities but also more sensitive species; while subregions with the opposite characteristics usually lacked large fractions of the regional forest bird community and hosted only common, widely distributed species. Results also emphasize the importance of preserving forest diversity from habitat loss and fragmentation, and confirm that larger, continuous forest tracts are necessary to maintain the rich avian diversity in the region.

show abstract

Section: Methods Of Surveyingmentioning

confidence: 99%

Section: Methods Of Surveyingmentioning

confidence: 99%

Section: Methods Of Surveyingmentioning

confidence: 99%

See 1 more Smart Citation

Environmental correlates of avian diversity in lowland Panama rain forests

Rompré

Robinson

Desrochers

et al. 2007

Journal of Biogeography

View full text Add to dashboard Cite

show abstract

“…We employed a rapid survey approach, sampling each fragment once during two consecutive days (e.g. Herzog et al, 2002;Young et al, 2003;Penter et al, 2008).…”

Section: Methodsmentioning

confidence: 99%

“…We employed a rapid survey approach, sampling each fragment once during two consecutive days (e.g. Herzog et al, 2002; Young et al, 2003;Penter et al, 2008).Sampling. We recorded the occurrence of species using complementary methods, which increases the chances of sampling a greater number of species in a short period of time (Silveira et al, 2010).…”

mentioning

confidence: 99%

Taxonomic groups with lower movement capacity may present higher beta diversity

Silva

Sacramento

Hasui

et al. 2017

Iheringia, Sér. Zool.

View full text Add to dashboard Cite

ABSTRACT. Diversity analysis by partition is an approach employed in order to understand how communities spatially structure themselves and the factors that operate in the generation and maintenance of distribution patterns. We examined the spatial structure of species diversity of four taxonomic groups, with diff erent dispersal abilities, in 16 forest fragments in the southern region of the state of Minas Gerais, Brazil. Specifi cally, we tested: i) if the similarity in species composition would be negatively related to geographical distance between the 16 fragments; and ii) if the beta diversity of the diff erent groups could be negatively related to their dispersal abilities. Alpha diversity and the compositional similarity between localities were both low. Beta diversity was not correlated with distance for any of the groups. Primates, followed by birds, showed a higher tendency of forming similarity groupings, although in a manner that was independent from distance between fragments, as well as showed the lowest beta diversity relative values. Spermatophytes and amphibians did not defi ne groupings and presented the highest values of beta diversity. We interpreted such results as indications that the groups with higher dispersal ability (primates and birds) tend to reach, on average, farther localities and, therefore, to defi ne more similar groupings (low beta diversity). The groups with lower dispersal ability (spermatophytes and amphibians) showed the opposite tendency. Although most of the species were restricted to few localities, contributing to the low similarity, beta and gamma diversity values showed the extent which the localities are, respectively, diff erent and complementary to each other in terms of species composition. Such features reinforce and justify future conservation initiatives, both in local and regional levels.KEYWORDS. Complementarity, dispersal ability, vertebrates, spermatophytes, Atlantic Forest.RESUMO. Grupos taxonômicos com menor capacidade de dispersão podem apresentar maior diversidade beta. A análise da diversidade por partição é uma abordagem empregada para tentar compreender como as comunidades se estruturam espacialmente e os fatores que operam na geração e manutenção dos padrões de distribuição das espécies. Nós examinamos a estrutura espacial da diversidade de espécies referente a quatro grupos taxonômicos com diferentes capacidades de dispersão, em 16 fragmentos fl orestais localizados no sul do Estado de Minas Gerais, Brasil. Especifi camente, testamos: i) se a similaridade na composição de espécies estaria relacionada negativamente com a distância geográfi ca entre os fragmentos e ii) se a diversidade beta apresentada por cada grupo poderia ser negativamente relacionada com as respectivas capacidades de dispersão. Tanto a diversidade alfa quanto a similaridade composicional entre as localidades foram baixas. A diversidade beta não esteve correlacionada com a distância para nenhum dos grupos. Os primatas, seguidos das aves, apresentaram maior tendência em formar agr...

show abstract

Birds in the Himalayas: What drives beta diversity patterns along an elevational gradient?

Ding²,

Jiang

et al. 2018

Ecology and Evolution

View full text Add to dashboard Cite

Beta diversity patterns along elevational gradients have become a hot topic in the study of biogeography and can help illuminate the processes structuring mountain ecosystems. Although elevational species richness patterns have been well documented, there remains much uncertainty over the causes of beta diversity patterns across elevational gradients. We conducted bird surveys and obtained high‐resolution climatic data along an elevational gradient in Gyirong Valley in the central Himalayas, China, between 1,800 and 5,400 m elevation. In total, we recorded 182 bird species (including 169 breeding birds). We simulated beta diversity patterns with the mid‐domain effect (MDE) null model and conducted distance‐based redundancy analyses (db‐RDA) to relate beta diversity to dispersal limitations, spatial constraints, habitat complexity, contemporary climate, and historical climate. Mantel tests and variation partitioning were employed to identify the magnitude of independent statistical associations of environmental factors with beta diversity. Patterns of empirical and simulated beta diversity were both hump‐shaped, peaking at intermediate elevations. The db‐RDA indicated that beta diversity was correlated with changes in spatially structured environmental factors, especially with contemporary climate and habitat complexity. Mantel tests and variation partitioning also suggested that climate dissimilarity was the major independent correlate of beta diversity. The random community structure and spatial constraints may also contribute to the overall hump‐shaped pattern. Beta diversity of bird communities in Gyirong Valley could be explained by the combination of different factors but is mainly shaped by the spatially structured environmental factors, especially contemporary climate.

show abstract

Estimating Species Richness of Tropical Bird Communities from Rapid Assessment Data

Cited by 53 publications

References 46 publications

Environmental correlates of avian diversity in lowland Panama rain forests

Environmental correlates of avian diversity in lowland Panama rain forests

Taxonomic groups with lower movement capacity may present higher beta diversity

Birds in the Himalayas: What drives beta diversity patterns along an elevational gradient?

Contact Info

Product

Resources

About