Abstract
Species spatial database and mapping can be an excellent management tool for predicting patterns of biological diversity and for monitoring species spatial distribution, or even identifying geographical locations of conservation significance. This type of database and mapping can also increase our understanding of the appropriateness of habitat areas for individual species by using various GIS applications that enable us to predict problems related to the living, existence and biological diversity of certain species. This will help us take appropriate decisions in order to solve such problems and preserve the natural environment. This study focuses on examining spatial distribution of the crow species, specifically (House crow) in the Sultanate of Oman by using ArcMap & Maxent model. The current simple datasets of crow location will be examined and accompanied with the following two sets of variables: (1) environmental variables such as temperature, slope, height, natural vegetation etc., and (2) human variables such as distance to road, and settlements and change of landuse over time, etc. The final output of the possible spatial distribution of the crow bird in Oman will be presented as a new layer that will show perfect consistency between actual datasets of crow location and the prediction and distribution of the crow in the entire study area.
| Original language | English |
|---|---|
| Title of host publication | ACRS 2015 - 36th Asian Conference on Remote Sensing |
| Subtitle of host publication | Fostering Resilient Growth in Asia, Proceedings |
| Publisher | Asian Association on Remote Sensing |
| Publication status | Published - 2015 |
| Event | 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines Duration: Oct 24 2015 → Oct 28 2015 |
Other
| Other | 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 |
|---|---|
| Country | Philippines |
| City | Quezon City, Metro Manila |
| Period | 10/24/15 → 10/28/15 |
Fingerprint
Keywords
- Crow
- GIS
- Maxent
- Spatial distributions
ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
Examining spatial distribution of crow species by combining ArcMap & maxent model. / Al-Awadhi, Talal; Al-Lamki, Samira; Al-Lamki, Reem.
ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 2015.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Examining spatial distribution of crow species by combining ArcMap & maxent model
AU - Al-Awadhi, Talal
AU - Al-Lamki, Samira
AU - Al-Lamki, Reem
PY - 2015
Y1 - 2015
N2 - Species spatial database and mapping can be an excellent management tool for predicting patterns of biological diversity and for monitoring species spatial distribution, or even identifying geographical locations of conservation significance. This type of database and mapping can also increase our understanding of the appropriateness of habitat areas for individual species by using various GIS applications that enable us to predict problems related to the living, existence and biological diversity of certain species. This will help us take appropriate decisions in order to solve such problems and preserve the natural environment. This study focuses on examining spatial distribution of the crow species, specifically (House crow) in the Sultanate of Oman by using ArcMap & Maxent model. The current simple datasets of crow location will be examined and accompanied with the following two sets of variables: (1) environmental variables such as temperature, slope, height, natural vegetation etc., and (2) human variables such as distance to road, and settlements and change of landuse over time, etc. The final output of the possible spatial distribution of the crow bird in Oman will be presented as a new layer that will show perfect consistency between actual datasets of crow location and the prediction and distribution of the crow in the entire study area.
AB - Species spatial database and mapping can be an excellent management tool for predicting patterns of biological diversity and for monitoring species spatial distribution, or even identifying geographical locations of conservation significance. This type of database and mapping can also increase our understanding of the appropriateness of habitat areas for individual species by using various GIS applications that enable us to predict problems related to the living, existence and biological diversity of certain species. This will help us take appropriate decisions in order to solve such problems and preserve the natural environment. This study focuses on examining spatial distribution of the crow species, specifically (House crow) in the Sultanate of Oman by using ArcMap & Maxent model. The current simple datasets of crow location will be examined and accompanied with the following two sets of variables: (1) environmental variables such as temperature, slope, height, natural vegetation etc., and (2) human variables such as distance to road, and settlements and change of landuse over time, etc. The final output of the possible spatial distribution of the crow bird in Oman will be presented as a new layer that will show perfect consistency between actual datasets of crow location and the prediction and distribution of the crow in the entire study area.
KW - Crow
KW - GIS
KW - Maxent
KW - Spatial distributions
UR - http://www.scopus.com/inward/record.url?scp=84964061289&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964061289&partnerID=8YFLogxK
M3 - Conference contribution
BT - ACRS 2015 - 36th Asian Conference on Remote Sensing
PB - Asian Association on Remote Sensing
ER -