Your browser doesn't support javascript.
loading
Assessing the Impact of Wildlife on Vegetation Cover Change, Northeast Namibia, Based on MODIS Satellite Imagery (2002-2021).
Gbagir, Augustine-Moses Gaavwase; Sikopo, Colgar Sisamu; Matengu, Kenneth Kamwi; Colpaert, Alfred.
Afiliação
  • Gbagir AG; Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, 80100 Joensuu, Finland.
  • Sikopo CS; Ministry of Environment, Forestry and Tourism, Windhoek 13306, Namibia.
  • Matengu KK; Department of Geography and Sociology, University of Namibia, Windhoek 13301, Namibia.
  • Colpaert A; Department of Geographical and Historical Studies, University of Eastern Finland, Yliopistokatu 7, 80100 Joensuu, Finland.
Sensors (Basel) ; 22(11)2022 May 25.
Article em En | MEDLINE | ID: mdl-35684629
Human-wildlife conflict in the Zambezi region of northeast Namibia is well documented, but the impact of wildlife (e.g., elephants) on vegetation cover change has not been adequately addressed. Here, we assessed human-wildlife interaction and impact on vegetation cover change. We analyzed the 250 m MODIS and ERA5 0.25° × 0.25° drone and GPS-collar datasets. We used Time Series Segmented Residual Trends (TSS-RESTREND), Mann-Kendall Test Statistics, Sen's Slope, ensemble, Kernel Density Estimation (KDE), and Pearson correlation methods. Our results revealed (i) widespread vegetation browning along elephant migration routes and within National Parks, (ii) Pearson correlation (p-value = 5.5 × 10-8) showed that vegetation browning areas do not sustain high population densities of elephants. Currently, the Zambezi has about 12,008 elephants while these numbers were 1468, 7950, and 5242 in 1989, 1994, and 2005, respectively, (iii) settlements and artificial barriers have a negative impact on wildlife movement, driving vegetation browning, and (iv) vegetation greening was found mostly within communal areas where intensive farming and cattle grazing is a common practice. The findings of this study will serve as a reference for policy and decision makers. Future studies should consider integrating higher resolution multi-platform datasets for detailed micro analysis and mapping of vegetation cover change.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Elefantes / Imagens de Satélites Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: Africa Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Finlândia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Elefantes / Imagens de Satélites Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: Africa Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Finlândia