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8. Nexus between climate change and environmental social work in Africa.

Author

Pedzisai, Ezra, Charamba, Sunungurayi, and Mukurazhizha, Rudo

Abstract

Disasters indiscriminately cause huge global economic losses worth tens of billions of dollars and often result in deaths of millions of people annually. As such, the on-going climate change is the world's biggest disaster, especially for the most vulnerable African countries that are less economically developed, dependent largely on primary industries, which are predominantly reliant on climate-controlled ecosystems as well as depend on rain-fed agro-based livelihoods characterised by abject poverty. Meanwhile, the social work profession caters for individuals, groups, and communities in responding to fast onset disasters affecting especially the marginalised, poor, and vulnerable. However, social work practice (SWP) seems to be more preoccupied with the outcomes of fast-onset disasters specifically centred on identifying beneficiaries in a bid to provide food relief, social safety nets, safe shelters, and providing psycho-social support to victims and survivors of these disasters than slow onset ones. The SWP seems to be silent about climate change despite corroborated scientific models confirming the increased frequency, magnitude, and severity of future tropical cyclones, floods, and droughts in the future. However, being more curative rather than preventive, contemporary SWP responds primarily to present crises whilst ignoring more serious future disasters. To connect SWP to climate change discourse, a literature review of previous sources of authority was utilised. [ABSTRACT FROM AUTHOR]

Published
2023
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15. Geographic Literacy and World Knowledge amongst Open Distance Learning Students in Zimbabwe

Author

Mhishi Misheck, Pedzisai Ezra, and Edward Mandoga

Subjects
Medical education, business.industry, media_common.quotation_subject, Distance education, Microsoft excel, Research findings, Globalisation, Science education, Literacy, Geography education, Globalization, Agriculture, Mathematics education, Geographic literacy, Geography knowledge, business, News media, media_common
Abstract

In order to succeed in a globally competitive world, it is imperative to acquire knowledge and an understanding of the places and cultures outside the boarders of one’s country. Zimbabwe has one of the highest literacy rates in Sub-Saharan Africa but despite this, large gaps exist in the knowledge about the levels of geographic literacy among Zimbabwean students. A survey, adapted from the National Geographic –Roper Global Geographic Literacy Survey, was administered to 103 students (11%) in the Diploma in Science Education programme at Bindura University of Science Education (BUSE). The survey assessed knowledge of geography and world events as well as information about various factors that may influence the participants’ geographic literacy. The data were statistically analyzed using Microsoft Excel and SPSS 17.0. Research findings revealed that the participants had high levels of geographic literacy with a mean score of 82 percent. Some of the factors found to influence the scores were sex, frequency of news media access and type of news accessed. While students majoring in the Agriculture, Biology and Geography Option had higher mean scores than other students, having passed Geography at O' Level and age has insignificant influence on the mean score.

Published
2013

16. Spatio-Temporal Distribution of the Black Rhino (<em>Diceros bicornis L.</em>) in the Midlands Black Rhino Conservancy, Zimbabwe

Author

Mugaviri, Blessing Munyaradzi, Maravanyika, Cuthbert, Pedzisai, Ezra, and Moyo, Gilbert H

Subjects
Science / Environmental Science
Abstract

Geographic Information System (GIS) and Remote Sensing (RS) technologies have many attributes that are beneficial in detecting, mapping, and, monitoring change in Land use/Land cover (LULC). This study used the technology with the aim to evaluate the Spatio -temporal impacts of Land use/Land cover Changes (LULCC) on Black Rhino distribution in Midlands Black Rhino Conservancy (MBRC), Zimbabwe. The study used time series satellite data. Landsat images were downloaded for the month of May at five-year intervals from 2000 to 2020. LULC and Normalized Differences Vegetation Index (NDVI) maps obtained were used in change detection. The images were classified using QGIS software on the maximum likelihood classifier algorithm. Presents and absence data for Black Rhino was used for distribution mapping. Quantum Geographic Information System (QGIS) and, R studio software were used for analysis. Results indicated that, a big percentage cover change was the bare land which increased by over 160%. Woodland decreased by about 46% within the same space of time. LULCC showed a significant positive relationship with black rhino distribution (p = 0.0381). MOLUSCE plugin was used for Prediction of LULCC for the year 2030, results indicated the highest increase in bare land 16.59%.

Published
2019

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