Forest structure of artificial islands in the Tucuruí dam reservoir in northern Brazil: a test core-area model

Ferreira, Leandro Valle; Neckel‐Oliveira, Selvino; Galatti, Ulisses; Fáveri, Sarita B.; Parolin, Pia

doi:10.1590/s0044-59672012000200006

Cited by 59 publications

(13 citation statements)

References 21 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The vegetation is typical of Amazonian terra firme forests, containing 80%-90% forest cover and an understorey dominated by several palm species (Ferreira, Neckel-Oliveira, Galatti, Fáveri, & Parolin, 2012). The climate is equatorial monsoonal (Am), with a rainy season from December to May and a dry season from June to November (Alvares et al, 2013).…”

Section: Study Areamentioning

confidence: 99%

Ecological traits modulate bird species responses to forest fragmentation in an Amazonian anthropogenic archipelago

Bueno

Dantas

Henriques

et al. 2018

Diversity and Distributions

View full text Add to dashboard Cite

Aim We assessed patterns of avian species loss and the role of morpho‐ecological traits in explaining species vulnerability to forest fragmentation in an anthropogenic island system. We also contrasted observed and detectability‐corrected estimates of island occupancy, which are often used to infer species vulnerability. Location Tucuruí Hydroelectric Reservoir, eastern Brazilian Amazonia. Methods We surveyed forest birds within 36 islands (3.4–2,551.5 ha) after 22 years of post‐isolation history. We applied species–area relationships to assess differential patterns of species loss among three data sets: all species, forest specialists and habitat generalists. After controlling for phylogenetic non‐independence, we used observed and detectability‐corrected estimates of island occupancy separately to build competing models as a function of species traits. The magnitude of the difference between these estimates of island occupancy was contrasted against species detectability. Results The rate of species loss as a function of island area reduction was higher for forest specialists than for habitat generalists. Accounting for the area effect, forest fragmentation did not affect the overall number of species regardless of the data set. Only the interactive model including natural abundance, habitat breadth and geographic range size was strongly supported for both estimates of island occupancy. For 30 species with detection probabilities below 30%, detectability‐corrected estimates were at least tenfold higher than those observed. Conversely, differences between estimates were negligible or non‐existent for all 31 species with detection probabilities exceeding 45.5%. Main conclusions Predicted decay of avian species richness induced by forest loss is affected by the degree of habitat specialisation of the species under consideration, and may be unrelated to forest fragmentation per se. Natural abundance was the main predictor of species island occupancy, although habitat breadth and geographic range size also played a role. We caution against using occupancy models for low‐detectability species, because overestimates of island occupancy reduce the power of species‐level predictions of vulnerability.

show abstract

Section: Study Areamentioning

confidence: 99%

Ecological traits modulate bird species responses to forest fragmentation in an Amazonian anthropogenic archipelago

Bueno

Dantas

Henriques

et al. 2018

Diversity and Distributions

View full text Add to dashboard Cite

show abstract

“…Area and edge effects are difficult to discriminate because samples in small fragments tend to be near edge habitats, while those in larger ones tend to be further from edges, creating a strong correlation between edge and area predictors (Ferreira et al . , Vasconcelos & Bruna ). This was the case in our study, given that the sampling plots were established in the center of each island.…”

Section: Discussionmentioning

confidence: 95%

“…The forest on all islands surveyed in this study was characterized by an understory dominated by vine and palm species, and a canopy formed by trees of 20–30 m in height (Ferreira et al . ). On the two largest islands, we used mean values from two collection sites.…”

Section: Methodsmentioning

confidence: 97%

See 1 more Smart Citation

Amphibians on Amazonian Land‐Bridge Islands are Affected More by Area Than Isolation

et al. 2015

Self Cite

View full text Add to dashboard Cite

River damming has created fragmented landscapes in parts of the Amazon basin. The resulting decrease in forest area could directly affect amphibian species if large areas of habitat are required to guarantee the presence of specific types of breeding sites. Here, we describe the anuran assemblages on islands created by damming of the Tocantins River twenty years ago in the eastern Amazon basin. We surveyed 10 undisturbed islands varying in size from 3 to 2140 ha and located at distances of up to 6.7 km from the margin of the reservoir. We identified 32 frog species, of which 15, 14, and 3 have aquatic, semiaquatic, and terrestrial development, respectively. The number of frog species increased significantly with island area but was not affected by island distance from the margin. Species with aquatic or semiaquatic development tended to be absent from the smaller islands, regardless of the degree of isolation from the mainland. These findings emphasize the need to preserve specific microhabitats on smaller land‐bridge islands to maintain amphibian diversity in reservoir environments.

show abstract

“…(The sample displayed here came from a real article published in Acta Amazonica . Ferreira et al 2012)…”

Section: Methodsmentioning

confidence: 99%

Measuring popularity of ecological topics in a temporal dynamical knowledge network

Huang

Zhao

2018

Preprint

View full text Add to dashboard Cite

15As interdisciplinary branches of ecology are developing rapidly in the 21 st 16 century, contents of ecological researches have become more abundant 17 than ever before. Along with the exponential growth of number of 18 published literature, it is more and more difficult for ecologists to get a 19 clear picture of their discipline. Nevertheless, the era of big data has 20 brought us massive information of well documented historical literature 21 and various techniques of data processing, which greatly facilitates the 22 implementation of bibliometric analysis on ecology. Frequency has long 23 been used as the primary metric in keyword analysis to detect ecological 24 hotspots, however, this method could be somewhat biased. In our study, 25 we have suggested a method called PAFit to measure keyword popularity, 26 which considered ecology-related topics in a large temporal dynamical 27 knowledge network, and found out the popularity of ecological topics 28 follows the "rich get richer" and "fit get richer" mechanism. Feasibility of 29 network analysis and its superiority over simply using frequency had been 30 explored and justified, and PAFit was testified by its outstanding 31 performance of prediction on the growth of frequency and degree. In 32 addition, our research also encourages ecologists to consider their domain 33 knowledge in a large dynamical network, and be ready to participate in 34 interdisciplinary collaborations when necessary. 3 35

show abstract

Forest structure of artificial islands in the Tucuruí dam reservoir in northern Brazil: a test core-area model

Cited by 59 publications

References 21 publications

Ecological traits modulate bird species responses to forest fragmentation in an Amazonian anthropogenic archipelago

Ecological traits modulate bird species responses to forest fragmentation in an Amazonian anthropogenic archipelago

Amphibians on Amazonian Land‐Bridge Islands are Affected More by Area Than Isolation

Measuring popularity of ecological topics in a temporal dynamical knowledge network

Contact Info

Product

Resources

About