Journal of Animal Ecology

SCIE-ISI SCOPUS (1979,1982-2023)

  0021-8790

  1365-2656

  Anh Quốc

Cơ quản chủ quản:  WILEY , Wiley-Blackwell Publishing Ltd

Lĩnh vực:
Ecology, Evolution, Behavior and SystematicsAnimal Science and Zoology

Các bài báo tiêu biểu

A working guide to boosted regression trees
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Jane Elith, John R. Leathwick, Trevor Hastie
The Relation Between the Number of Species and the Number of Individuals in a Random Sample of an Animal Population
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R. A. Fisher, A. Steven Corbet, C. B. Williams
Comparing isotopic niche widths among and within communities: SIBER - Stable Isotope Bayesian Ellipses in R
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Andrew L. Jackson, Richard Inger, Andrew Parnell, Stuart Bearhop
Directions in Conservation Biology
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Graeme Caughley
Mutual Interference Between Parasites or Predators and its Effect on Searching Efficiency
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J. R. Beddington
Why do we still use stepwise modelling in ecology and behaviour?
Tập 75 Số 5 - Trang 1182-1189 - 2006
Mark J. Whittingham, Philip A. Stephens, Richard B. Bradbury, Robert P. Freckleton
Summary

The biases and shortcomings of stepwise multiple regression are well established within the statistical literature. However, an examination of papers published in 2004 by three leading ecological and behavioural journals suggested that the use of this technique remains widespread: of 65 papers in which a multiple regression approach was used, 57% of studies used a stepwise procedure.

The principal drawbacks of stepwise multiple regression include bias in parameter estimation, inconsistencies among model selection algorithms, an inherent (but often overlooked) problem of multiple hypothesis testing, and an inappropriate focus or reliance on a single best model. We discuss each of these issues with examples.

We use a worked example of data on yellowhammer distribution collected over 4 years to highlight the pitfalls of stepwise regression. We show that stepwise regression allows models containing significant predictors to be obtained from each year's data. In spite of the significance of the selected models, they vary substantially between years and suggest patterns that are at odds with those determined by analysing the full, 4‐year data set.

An information theoretic (IT) analysis of the yellowhammer data set illustrates why the varying outcomes of stepwise analyses arise. In particular, the IT approach identifies large numbers of competing models that could describe the data equally well, showing that no one model should be relied upon for inference.

Scaling of metabolic rate with body mass and temperature in teleost fish
Tập 68 Số 5 - Trang 893-905 - 1999
Andrew Clarke, Nadine M. Johnston
Summary

1.We examined published studies relating resting oxygen consumption to body mass and temperature in post‐larval teleost fish. The resulting database comprised 138 studies of 69 species (representing 28 families and 12 orders) living over a temperature range ofc.40 °C.

2. Resting metabolic rate (Rb; mmol oxygen gas h–1) was related to body mass (M;wet mass, g) byRb = aMb, where a is a constant and b the scaling exponent. The model was fitted by least squares linear regression after logarithmic transformation of both variables. The mean value of scaling exponent, b, for the 69 individual species was 0·79 (SE 0·11). The general equation for all teleost fish was 1nRb = 0·80(1nM) – 5·43.

3. The relationship between resting oxygen consumption and environmental temperature for a 50‐g fish was curvilinear. A typical tropical fish at 30°C requires approximately six times as much oxygen for resting metabolism as does a polar fish at 0°C. This relationship could be fitted by several statistical models, of which the Arrhenius model is probably the most appropriate. The Arrhenius model for the resting metabolism of 69 species of teleost fish, corrected to a standard body mass of 50 g, was 1nRb = 15·7 – 5·02.T–1, whereTis absolute temperature (103 × K).

4.The Arrhenius model fitted to all 69 species exhibited a lower thermal sensitivity of resting metabolism (mean Q10 = 1·83 over the range 0–30 °C) than typical within‐species acclimation studies (median Q10 = 2·40,n = 14). This suggests that evolutionary adaptation has reduced the overall thermal sensitivity of resting metabolism across species. Analysis of covariance indicated that the relationships between resting metabolic rate and temperature for various taxa (orders) showed similar slopes but significantly different mean rates.

5. Analysis of the data for perciform fish provided no support for metabolic cold adaptation (the hypothesis that polar fish show a resting metabolic rate higher than predicted from the overall rate/temperature relationship established for temperate and tropical species).

6. Taxonomic variation in mean resting metabolic rate showed no relationship to phylogeny, although the robustness of this conclusion is constrained by our limited knowledge of fish evolutionary history.

Random Search and Insect Population Models
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David J. Rogers
Foraging ranges of solitary bees
Tập 71 Số 5 - Trang 757-764 - 2002
Achim Gathmann, Teja Tscharntke
Summary

Habitat requirements of solitary bees include nesting sites, food resources and nesting material. We used translocation experiments to establish foraging distances and measured foraging trip duration to analyse how solitary bees cope with the distance between nesting sites and suitable food plants in different habitat types.

Maximum foraging distance between nesting site and food patch was 150–600 m for the 16 bee species examined. Foraging distance was correlated positively with body length. Mean foraging trip duration, measured for seven bee species, ranged from 6 to 28 min and was also correlated with body length. In a study of the polylectic species Osmia rufa , we found a significant decrease in foraging trip duration with increasing number of plant species. Logistic regressions showed that the oligolectic Megachile lapponica nested in trap nests with a probability of 50% if the distance between trap nest and food patch was less than 250 m. The oligolectic Chelostoma rapunculi utilized trap nests when the distance to the nearest food patch was less than 300 m.

These experiments showed that solitary bees have a rather small foraging range so local habitat structure appears to be of more importance than large‐scale landscape structure. All requirements for sustaining viable populations must be within this range. Therefore, it is necessary to maintain and restore a dense network of habitat patches in landscapes to ensure long‐term sustainability of wild bee diversity and their ecological function as pollinators.