Examining spatial distribution of crow species by combining ArcMap & maxent model

Talal Al-Awadhi, Samira Al-Lamki, Reem Al-Lamki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationACRS 2015 - 36th Asian Conference on Remote Sensing
Subtitle of host publicationFostering Resilient Growth in Asia, Proceedings
PublisherAsian Association on Remote Sensing
Publication statusPublished - 2015
Event36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015 - Quezon City, Metro Manila, Philippines
Duration: Oct 24 2015Oct 28 2015

Other

Other36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015
CountryPhilippines
CityQuezon City, Metro Manila
Period10/24/1510/28/15

Fingerprint

Spatial distribution
Biodiversity
Birds
Geographic information systems
Conservation
Monitoring
Temperature

Keywords

  • Crow
  • GIS
  • Maxent
  • Spatial distributions

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Al-Awadhi, T., Al-Lamki, S., & Al-Lamki, R. (2015). Examining spatial distribution of crow species by combining ArcMap & maxent model. In ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings Asian Association on Remote Sensing.

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 proceedingConference contribution

Al-Awadhi, T, Al-Lamki, S & Al-Lamki, R 2015, Examining spatial distribution of crow species by combining ArcMap & maxent model. in ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, ACRS 2015, Quezon City, Metro Manila, Philippines, 10/24/15.
Al-Awadhi T, Al-Lamki S, Al-Lamki R. Examining spatial distribution of crow species by combining ArcMap & maxent model. In ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing. 2015
Al-Awadhi, Talal ; Al-Lamki, Samira ; Al-Lamki, Reem. / Examining spatial distribution of crow species by combining ArcMap & maxent model. ACRS 2015 - 36th Asian Conference on Remote Sensing: Fostering Resilient Growth in Asia, Proceedings. Asian Association on Remote Sensing, 2015.
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