Related Experiment Video
Updated: Jan 21, 2026
06:28
Field Measurement of Effective Leaf Area Index using Optical Device in Vegetation Canopy
Published on: July 29, 2021
3.8K
Plotting a future for Amazonian canga vegetation in a campo rupestre context.
Daniela C Zappi1,2, Marcelo F Moro3, Barnaby Walker4
1Instituto Tecnológico Vale, Belém, Pará, Brazil.
Plos One
|August 6, 2019
Summary
Effective conservation requires understanding biodiversity drivers. Amazonian Carajás canga plant communities are distinct from Eastern Brazil, necessitating broader protected area representation for canga flora.
Area of Science:
- Ecology
- Botany
- Conservation Biology
Background:
- Brazilian canga, a specialized habitat on ferrugineous substrates, is part of campo rupestre montane vegetation.
- Campo rupestre exhibits high biodiversity and endemism due to dispersal history and environmental variation.
- Understanding biodiversity patterns is crucial for effective conservation strategies.
Purpose of the Study:
- To inform biodiversity conservation for canga and campo rupestre.
- To investigate floristic and phylogenetic affinities between canga and quartzite sites across different geographic locations.
- To assess the representativeness of protected areas for canga flora.
Main Methods:
- Floristic and phylogenetic analyses were performed on 28 sites.
- Data included 11,204 occurrences of 4,705 angiosperm species.
- Species assemblages were compared across canga and quartzite substrates in Carajás (Amazonia) and Eastern Brazil.
Main Results:
- Amazonian Carajás canga plant communities formed a distinct, cohesive group.
- Few species were shared between Amazonian Carajás and Eastern Brazil sites.
- High floristic heterogeneity was observed across investigated sites.
Conclusions:
- Amazonian Carajás canga flora is unique and requires specific conservation attention.
- Current protected areas may not fully represent the regional canga flora.
- Further sampling is needed to ensure adequate conservation of canga biodiversity.
Related Concept Videos
02:34Arrhenius Plots
46.8K
The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used...
The Arrhenius equation can be used...
46.8K
01:07Residual Plots
6.2K
A residual plot is a statistical representation of data used to analyze correlation and regression results. It helps verify the requirements for drawing specific conclusions about correlation and regression. To obtain the residual plot, first, the residual for each data value is calculated, which is simply the vertical distance between the observed and the predicted value obtained from the regression equation.
When the residual values are plotted against the variable x, it is called a residual...
When the residual values are plotted against the variable x, it is called a residual...
6.2K
01:18Microsoft Excel: Plotting Mean, SD, and SE
1.1K
In Microsoft Excel, plotting the mean along with standard deviation (SD) and standard error (SE) helps visualize data variability and reliability. To plot these values, follow these steps:
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
1.1K
01:26Bode Plots
1.3K
Bode plots are graphical tools that use logarithmic scales for frequency on the x-axis and gain in decibels on the y-axis. This logarithmic method allows a wide range of frequencies to be compactly displayed, enabling the analysis of component effects on circuit behavior across a broad frequency spectrum.
A network function represents the ratio of a system's output to its input, with the magnitude and phase angle derived from the complex network function. The decibel logarithmic gain is...
A network function represents the ratio of a system's output to its input, with the magnitude and phase angle derived from the complex network function. The decibel logarithmic gain is...
1.3K
01:15Scatter Plot
10.8K
The most common and easiest way to display the relationship between two variables, x and y, is a scatter plot. A scatter plot shows the direction of a relationship between the variables. A clear direction happens when there is either:
10.8K
01:30Self Within Cultural Contexts
220
Cultural frameworks for understanding the self are often categorized into two broad orientations: individualism and collectivism. These paradigms influence how people define themselves, relate to others, and interpret their social worlds. Each orientation offers distinct perspectives on autonomy, responsibility, and the role of the individual within a community.Individualistic CulturesIn individualistic cultures like North America and Western Europe, identity is understood as autonomous and...
220