Related Experiment Video
Updated: Feb 3, 2026

06:27
Simulating Impacts of Ice Storms on Forest Ecosystems
Published on: June 30, 2020
7.5K
Mapping and predicting forest loss in a Sumatran tiger landscape from 2002 to 2050
Erin E Poor1, Yang Shao2, Marcella J Kelly1
1Virginia Tech, Department of Fish and Wildlife Conservation, 100 Cheatham Hall, 310 W. Campus Drive, Blacksburg, VA 24060, USA.
Journal of Environmental Management
|October 28, 2018
Summary
Sumatran tiger (Panthera tigris sumatrae) habitat in Riau is rapidly declining due to deforestation for plantations. Conservation efforts must focus on key forest areas like Tesso Nilo to maintain connectivity for tiger survival.
Area of Science:
- Ecology
- Conservation Biology
- Remote Sensing
Background:
- Riau Province, Sumatra, historically supported significant Sumatran tiger populations.
- Current deforestation rates are extremely high, reducing natural forest cover to ~18%, primarily for agriculture (oil palm, rubber, acacia).
- Remaining forests in Bukit Tigapuluh National Park and Rimbang Baling Wildlife Reserve are crucial for tiger populations.
Purpose of the Study:
- To map land cover changes in Riau from 2002-2016 using Landsat imagery.
- To predict future forest-to-plantation conversion from 2016-2050 using a neural network model.
- To analyze landscape connectivity for Sumatran tigers based on potential dispersal distances.
Main Methods:
- Maximum likelihood classification of Landsat imagery for land cover mapping.
- Multilayer perceptron neural network for predicting deforestation.
- Connectivity analysis using a 100 km dispersal threshold.
Main Results:
- Land cover maps achieved 80-90% accuracy.
- Significant forest loss is predicted in Tesso Nilo and western Riau by 2050 under current deforestation trends.
- Tesso Nilo and the Rimbang Baling-Bukit Tigapuluh corridor are vital for maintaining landscape connectivity.
Conclusions:
- Urgent conservation and rehabilitation efforts are needed in Riau, particularly in Tesso Nilo and adjacent areas.
- Focusing on forests near plantations in accessible (flat) areas is essential for maintaining habitat connectivity.
- Securing these areas is critical for the long-term survival of Sumatran tigers and other endemic species.
Related Concept Videos
Line Loss
543
The different configurations of source-load connections include wye (star) and delta connections. The relationship between line and phase voltages and currents varies depending on the configuration. When the source is supplying power, it is transmitted through the wires to the load, and during this transmission, some power is absorbed by the wires, leading to line loss.
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
Line loss impacts power delivery efficiency in a balanced three-phase circuit. The symmetry in such a circuit simplifies the...
543
Predicting Molecular Geometry
45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Reducing Line Loss
390
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...
390
Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
Energy Losses in Transformers
1.3K
In an ideal transformer, it is assumed that there are no energy losses, and, hence, all the power at the primary winding is transferred to the secondary winding. However, in reality, the transformers always have some energy losses, and, hence, the output power obtained at the secondary winding is less than the input power at the primary winding due to energy losses.
There are four main reasons for energy losses in transformers.
The first cause can be the high resistance of the...
There are four main reasons for energy losses in transformers.
The first cause can be the high resistance of the...
1.3K
Major Losses in Pipes
2.0K
When a fluid flows through a pipe, it experiences energy losses due to frictional resistance along the pipe walls, known as major losses. These energy losses result in a pressure drop, which varies based on the flow conditions — whether laminar or turbulent — and the specific physical properties of the fluid and pipe.
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
Fluid flow can be classified as laminar or turbulent, primarily based on the Reynolds number. This dimensionless number reflects the relative influence of inertial to viscous...
2.0K

