Innovative Geographic Information Science (GIS) and Remote Sensing Tools for Modelling the Ranging Behaviour and Habitat Dynamics of the African Savannah Elephant (Loxodonta africana) in Mesic Protected Areas DOI
Nobert Tafadzwa Mukomberanwa,

Phillip Taru,

Beaven Utete

et al.

African Journal of Ecology, Journal Year: 2024, Volume and Issue: 62(4)

Published: Dec. 1, 2024

ABSTRACT Transboundary wildlife species like the African savannah elephant ( Loxodonta africana ) requires a comprehensive regional approach to monitoring and effective conservation. This thorough understanding of their ecology, ranging behaviour distribution suitable habitats. In diverse landscapes, management conservation are critical, particularly in dry protected areas where water food resources limited. The use innovative Geographic Information Science (GIS) remote sensing tools is revolutionising habitat dynamics elephant. When adopting GIS tools, park managers conservationists must remember that: (i) has determinate movement pattern clusters around dominant vegetation types, (ii) soil‐adjusted index (SAVI) performs better relative other indices modelling arid areas, (iii) cellular automata–artificial neural network (CA‐ANN) robust technique future (iv) landscapes or environments near points significantly utilised by performance usually far from piosphere, (v) significant difference size home ranges selection mostly influenced type seasonal variations resources, (vi) hyperslender stems forest gaps confirms minimal damage dominated (satellite data evidence high tree regeneration) (vii) dynamic Brownian Bridge Movement Model (dBBMM) smart for range utilisation construction different zones.

Language: Английский

Assessing changes in the ecosystem service value in response to land use and land cover dynamics in Malawi DOI
Kennedy Nazombe, Odala Nambazo,

Principal Mdolo

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(8)

Published: July 17, 2024

Language: Английский

Citations

4
Body Condition of Translocated African Elephants (Loxodonta Africana) in a Semi-Arid Environment: Effects of Seasonality, Age-Sex, and Management Interventions DOI
Kyla R. Funk,

Leslie Brown,

Eric Vander Wal

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Global positioning system (GPS) collar data shows variations in distribution, ranging area and habitat selection of the African savannah elephant in a semi-arid protected area DOI Creative Commons
Nobert Tafadzwa Mukomberanwa,

Phillip Taru,

Beaven Utete

et al.

Sustainable Environment, Journal Year: 2025, Volume and Issue: 11(1)

Published: Feb. 24, 2025

Language: Английский

Citations

0
Predicting Land Use and Land Cover Changes in the Chindwin River Watershed of Myanmar Using Multilayer Perceptron-Artificial Neural Networks DOI Creative Commons

Theint Thandar Bol,

Timothy O. Randhir

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1160 - 1160

Published: July 29, 2024

This study investigates the potential anthropogenic land use activities in 114,000-km2 Chindwin River Watershed (CRW) northwestern Myanmar, a biodiversity hotspot. research evaluates current and future scenarios, particularly focusing on areas that provide ecosystem services for local communities those essential conservation. Remote sensing geographical information systems were employed to evaluate changes CRW. We used supervised classification approach with random tree generate cover (LULC) classifications. calculated percentage of change LULC from 2010 2020 projected scenarios approximately 2030 2050. The accuracy maps was validated using Cohen’s Kappa statistics. multilayer perceptron artificial neural network (MLP-ANN) algorithm utilized predict LULC. Our found human settlements, wetlands, bare have increased while forest has declined. area covered by settlements (0.36% total 2000) is increase 264 km2 2000 424 also revealed connections other categories, indicating transformation into types. predicted until 2050 reflects impacts urbanization, population growth, infrastructure development

Language: Английский

Citations

1
Innovative Geographic Information Science (GIS) and Remote Sensing Tools for Modelling the Ranging Behaviour and Habitat Dynamics of the African Savannah Elephant (Loxodonta africana) in Mesic Protected Areas DOI
Nobert Tafadzwa Mukomberanwa,

Phillip Taru,

Beaven Utete

et al.

African Journal of Ecology, Journal Year: 2024, Volume and Issue: 62(4)

Published: Dec. 1, 2024

ABSTRACT Transboundary wildlife species like the African savannah elephant ( Loxodonta africana ) requires a comprehensive regional approach to monitoring and effective conservation. This thorough understanding of their ecology, ranging behaviour distribution suitable habitats. In diverse landscapes, management conservation are critical, particularly in dry protected areas where water food resources limited. The use innovative Geographic Information Science (GIS) remote sensing tools is revolutionising habitat dynamics elephant. When adopting GIS tools, park managers conservationists must remember that: (i) has determinate movement pattern clusters around dominant vegetation types, (ii) soil‐adjusted index (SAVI) performs better relative other indices modelling arid areas, (iii) cellular automata–artificial neural network (CA‐ANN) robust technique future (iv) landscapes or environments near points significantly utilised by performance usually far from piosphere, (v) significant difference size home ranges selection mostly influenced type seasonal variations resources, (vi) hyperslender stems forest gaps confirms minimal damage dominated (satellite data evidence high tree regeneration) (vii) dynamic Brownian Bridge Movement Model (dBBMM) smart for range utilisation construction different zones.

Language: Английский

Citations

1