Browsing by Author "Mpakairi, Kudzai Shaun"

Now showing 1 - 6 of 6
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    Chlorophyll-a unveiled: unlocking reservoir insights through remote sensing in a subtropical reservoir
    (Springer Science and Business Media Deutschland GmbH, 2024) Mpakairi, Kudzai Shaun; Muthivhi, Faith; Dondofema, Farai
    Effective water resources management and monitoring are essential amid increasing challenges posed by population growth, industrialization, urbanization, and climate change. Earth observation techniques offer promising opportunities to enhance water resources management and support informed decision-making. This study utilizes Landsat-8 OLI and Sentinel-2 MSI satellite data to estimate chlorophyl-a (chl-a) concentrations in the Nandoni reservoir, Thohoyandou, South Africa. The study estimated chl-a concentrations using random forest models with spectral bands only, spectral indices only (blue difference absorption (BDA), fluorescence line height in the violet region (FLH_violet), and normalized difference chlorophyll index (NDCI)), and combined spectral bands and spectral indices. The results showed that the models using spectral bands from both Landsat-8 OLI and Sentinel-2 MSI performed comparably. The model using Sentinel-2 MSI had a higher accuracy of estimating chl-a when spectral bands alone were used. Sentinel-2 MSI’s additional red-edge spectral bands provided a notable advantage in capturing subtle variations in chl-a concentrations. Lastly, the –chl-a concentration was higher at the edges of the Nandoni reservoir and closer to the reservoir wall
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    Decorum in nature: impala (Aepyceros melampus melampus) dung middens follow spatial point patterns in Mukuvisi Woodland, Zimbabwe
    (Geology, Ecology, and Landscapes, 2023) Mpakairi, Kudzai Shaun; Tagwireyi, Paradzayi; Muhoyi, Hardlife
    Guided by the Optimum Foraging Theory,the Avoidance Concept, and assuming that the impala Aepyceros melampus melampus defecate purposevely at dung middens, we hypothesized that the impala’s dung midden locations do not: (1) follow complete spatial randomness; (2) cluster along park tracks; and (3) cluster along the waterways. Using geolocation data for all impala dung middens in the Mukuvisi Woodland, Zmbabwe, the G(r) function revealed a clustered pattern at 0–100 m. Additionally, the 2nd Order Gcross function showed evidence of spatial aggregation of dung middens to within 25 m of park tracks, but no evidence of spatial aggregation between impala dung middens and waterways. Our findings give insight into possible evolutionary decorum for optimum olfaction, energy-saving, disease,pest avoidance, and contamination avoidance.
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    Decorum in nature: Impala (Aepyceros melampus melampus) dung middens follow spatial point patterns in Mukuvisi Woodland, Zimbabwe
    (Taylor and Francis Group, 2023) Tagwireyi, Paradzayi; Muhoyi, Hardlife; Mpakairi, Kudzai Shaun
    Guided by the Optimum Foraging Theory,the Avoidance Concept, and assuming that the impala Aepyceros melampus melampus defecate purposevely at dung middens, we hypothe-sized that the impala’s dung midden locations do not: (1) follow complete spatial randomness; (2) cluster along park tracks; and (3) cluster along the waterways. Using geolocation data for all impala dung middens in the Mukuvisi Woodland, Zmbabwe, the G(r) function revealed a clustered pattern at 0–100 m. Additionally, the 2nd Order Gcross function showed evidence of spatial aggregation of dung middens to within 25 m of park tracks, but no evidence of spatial aggregation between impala dung middens and waterways. Our findings give insight into possible evolutionary decorum for optimum olfaction, energy-saving, disease,pest avoidance, and contamination avoidance.
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    Spatial characterisation of vegetation diversity in groundwater-dependent ecosystems using in-situ and sentinel-2 msi satellite data
    (MDPI, 2022) Mpakairi, Kudzai Shaun; Dube, Timothy; Dondofema, Farai
    Groundwater-Dependent Ecosystems (GDEs) are under threat from groundwater overabstraction, which significantly impacts their conservation and sustainable management. Although the socio-economic significance of GDEs is understood, their ecosystem services and ecological significance (e.g., biodiversity hotspots) in arid environments remains understudied. Therefore, under the United Nations Sustainable Development Goal (SDG) 15, characterizing or identifying biodiversity hotspots in GDEs improves their management and conservation. In this study, we present the first attempt towards the spatial characterization of vegetation diversity in GDEs within the Khakea-Bray Transboundary Aquifer. Following the Spectral Variation Hypothesis (SVH), we used multispectral remotely sensed data (i.e., Sentinel-2 MSI) to characterize the vegetation diversity.
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    Spatial monitoring and reporting tool (smart) in mid-Zambezi valley, Zimbabwe: Implementation challenges and practices
    (Wiley Open Access, 2021) Kavhu, Blessing; Mpakairi, Kudzai Shaun
    Biodiversity monitoring and data-management technologies can enhance the protection of persecuted species, such as African elephants (Loxodonta africana), through providing management-relevant information. Implementing these technologies, however, often presents several capacity and resource challenges for field staff in protected areas. In the Mid-Zambezi Valley, Zimbabwe, the Zimbabwe Parks and Wildlife Management Authority (ZPWMA) is in the process of adopting the Spatial Monitoring and Reporting Tool (SMART) as law enforcement and data management tool for adaptive management. With the support of several conservation partners, ZPWMA was able to acquire SMART equipment (computers and handheld cyber-tracker devices) as well as train rangers and officers on how to use SMART in the region.
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    Trends in elephant poaching in the Mid-Zambezi Valley, Zimbabwe: Lessons learnt and future outlook
    (African Journal of Ecology, 2023) Mpakairi, Kudzai Shaun; Ngorima, Patmore; Blessing, Kavhu; Gara, Tawanda Winmore
    Background: The conservation of African elephants (Loxodonta africana) has important ecological, economical, cultural and aesthetic values, at both local and global levels (Pittiglio et al., 2014). Despite the important role elephants play as keystone species, their populations have been dwindling due to human activities (Sibanda et al., 2016). The most serious threats to elephant's survival across most of its range include illegal wildlife trade which has been exacerbated by an increase in organized poaching (Ouko, 2013). Poaching for both meat and ivory is by far the most acute problem across Africa according to data derived from the Monitoring the Illegal Killing of Elephants (MIKE) and Elephant Trade Information System (ETIS; WWF, 2017). This is a complex global threat to the survival of the African elephant across most of its range (Dejene et al., 2021; Ouko, 2013; Wittemyer et al., 2014).