The best tree structure from a multivariate regression tree analysis of the counts of 10 species predicted by month, surface seawater temperature, tidal direction, and moon phase (A). Histograms on the terminal nodes (“leaves”) show the abundance of each species and the number of underwater visual census samples (n). The bars on the histograms, from left to right represent 1. Trachinotus blochii, 2. Caranx sexfasciatus, 3. Lutjanus bohar, 4. Monotaxis grandoculis, 5. Macolor niger, 6. Lethrinus nebulosus, 7. Lethrinus olivaceus, 8. Plectorhinchus lineatus (indicated by *), 9. Acanthurus dussumieri (indicated by ϯ), 10. Naso annulatus. The node numbers are in boldface type for leaves and given in brackets for higher nodes. The DLI characteri...
ABSTRACT: Analysis on the relationship of chlorophyll-a and sea surface temperature helps us underst...
<p>Note: Total Biomass values were double-log+1 transformed to achieve pseudo-normality, species wer...
In the pie charts, white refers to natural lakes and black refers to reservoirs.</p
The explanatory variables were: coral species, depth, and reef zone. For each of the terminal nodes ...
<p>The explanatory variables were: site, topographic complexity, habitat diversity, coral species ri...
<p>The explanatory variables were: site, topographic complexity, habitat diversity, coral species ri...
Relative influences (A) of species richness in underwater visual census samples at Moore Reef fish a...
Relative influences (A) of pooled fish abundance (10 selected species) in underwater visual census s...
<p>Full details of node names and DLI are given in <a href="http://www.plosone.org/article/info:doi/...
The first step in building predictive models of larval fish assemblages is to identify the main envi...
<p>The bold numbers at each node show the predictors that were most influential in predicting differ...
In the marine realm, the tropics host an extraordinary diversity of taxa but the drivers underlying ...
In the marine realm, the tropics host an extraordinary diversity of taxa but the drivers underlying ...
In the marine realm, the tropics host an extraordinary diversity of taxa but the drivers underlying ...
Partial interaction plots for the response of species richness (10 selected species) to different su...
ABSTRACT: Analysis on the relationship of chlorophyll-a and sea surface temperature helps us underst...
<p>Note: Total Biomass values were double-log+1 transformed to achieve pseudo-normality, species wer...
In the pie charts, white refers to natural lakes and black refers to reservoirs.</p
The explanatory variables were: coral species, depth, and reef zone. For each of the terminal nodes ...
<p>The explanatory variables were: site, topographic complexity, habitat diversity, coral species ri...
<p>The explanatory variables were: site, topographic complexity, habitat diversity, coral species ri...
Relative influences (A) of species richness in underwater visual census samples at Moore Reef fish a...
Relative influences (A) of pooled fish abundance (10 selected species) in underwater visual census s...
<p>Full details of node names and DLI are given in <a href="http://www.plosone.org/article/info:doi/...
The first step in building predictive models of larval fish assemblages is to identify the main envi...
<p>The bold numbers at each node show the predictors that were most influential in predicting differ...
In the marine realm, the tropics host an extraordinary diversity of taxa but the drivers underlying ...
In the marine realm, the tropics host an extraordinary diversity of taxa but the drivers underlying ...
In the marine realm, the tropics host an extraordinary diversity of taxa but the drivers underlying ...
Partial interaction plots for the response of species richness (10 selected species) to different su...
ABSTRACT: Analysis on the relationship of chlorophyll-a and sea surface temperature helps us underst...
<p>Note: Total Biomass values were double-log+1 transformed to achieve pseudo-normality, species wer...
In the pie charts, white refers to natural lakes and black refers to reservoirs.</p