Modelling the spatial-temporal distribution of tsetse (Glossina pallidipes) as a function of topography and vegetation greenness in the Zambezi Valley of Zimbabwe

Matawa, Farai; Murwira, Amon; Zengeya, Fadzai M.; Atkinson, Peter M.

doi:10.1016/j.apgeog.2016.09.008

Cited by 7 publications

(28 citation statements)

References 34 publications

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“…Maxent is a machine learning technique that uses presence-only data to determine the potential spatial suitability preference of species [35,36]. The model evaluates the probability of the occurrence from a number of spatial environmental variables [37][38][39]. For Maxent to determine the probability of occurrence and reduce uncertainty, it requires more presence information of the target species [40].…”

Section: Maxent Modelling Approachmentioning

confidence: 99%

“…Hence, during training, Maxent performs a jack-knife test that assesses the relative importance of each predictor variable which explain the spatial distribution of the species [41]. Model performance was assessed using the area under the curve (AUC) of the receiver operating characteristics (ROC) [39,44,45]. ROC is a graphical plot generated by the Maxent algorithm based on the AUC when model sensitivity is plotted against 1 minus model specificity [16,37].…”

Section: Model Accuracy Assessmentmentioning

confidence: 99%

“…In that regard, the AUC ranged from 0 to 1 and the accuracy was classified as poor between 0.5-0.70, while 0.70 and 0.80 are good and above 0.90 are termed high [46,47]. Additionally, the jack-knife test was used to assess the contribution of each variable's to the model and highlighted the dominant variables [39,46]. Furthermore, True Skill Statistic (TSS), also known as the Hanssen-Kuipers discriminant was utilized to assess the accuracy of the model.…”

Section: Model Accuracy Assessmentmentioning

confidence: 99%

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Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa

et al. 2019

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Coryphodema tristis is a wood-boring insect, indigenous to South Africa, that has recently been identified as an emerging pest feeding on Eucalyptus nitens, resulting in extensive damage and economic loss. Eucalyptus plantations contributes over 9% to the total exported manufactured goods of South Africa which contributes significantly to the gross domestic product. Currently, the distribution extent of the Coryphodema tristis is unknown and estimated to infest Eucalyptus nitens compartments from less than 1% to nearly 80%, which is certainly a concern for the forestry sector related to the quantity and quality of yield produced. Therefore, the study sought to model the probability of occurrence of Coryphodema tristis on Eucalyptus nitens plantations in Mpumalanga, South Africa, using data from the Sentinel-2 multispectral instrument (MSI). Traditional field surveys were carried out through mass trapping in all compartments (n = 878) of Eucalyptus nitens plantations. Only 371 Eucalyptus nitens compartments were positively identified as infested and were used to generate the Coryphodema tristis presence data. Presence data and spectral features from the area were analysed using the Maxent algorithm. Model performance was evaluated using the receiver operating characteristics (ROC) curve showing the area under the curve (AUC) and True Skill Statistic (TSS) while the performance of predictors was analysed with the jack-knife. Validation of results were conducted using the test data. Using only the occurrence data and Sentinel-2 bands and derived vegetation indices, the Maxent model provided successful results, exhibiting an area under the curve (AUC) of 0.890. The Photosynthetic vigour ratio, Band 5 (Red edge 1), Band 4 (Red), Green NDVI hyper, Band 3 (Green) and Band 12 (SWIR 2) were identified as the most influential predictor variables. Results of this study suggest that remotely sensed derived vegetation indices from cost-effective platforms could play a crucial role in supporting forest pest management strategies and infestation control.

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Section: Maxent Modelling Approachmentioning

confidence: 99%

Section: Model Accuracy Assessmentmentioning

confidence: 99%

Section: Model Accuracy Assessmentmentioning

confidence: 99%

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Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa

et al. 2019

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“…transmits trypanosomes that are responsible for causing Human African Trypanosomiasis (HAT) in humans and African Animal Trypanosomiasis (AAT) in animals (Holmes, 2013;Matawa et al, 2016Matawa et al, , 2013. AAT results in increased rural poverty due to loss of livestock that represents a major source of livelihood (Holmes, 2013;Matawa et al, 2016). In this regard, well planned vector control and eradication measures can improve rural livelihoods through improved livestock production.…”

Section: Introductionmentioning

confidence: 99%

“…In this regard, well planned vector control and eradication measures can improve rural livelihoods through improved livestock production. Characterising temporal trends in the spatial distribution of tsetse flies may, thus, be used to guide the planning of future vector control and eradication measures (Dicko et al, 2014;Matawa et al, 2016Matawa et al, , 2013.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the impact of declining tsetse fly (Glossina pallidipes) habitat in the Zambezi valley of Zimbabwe

Matawa

Murwira

Atkinson

2019

Geocarto International

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Tsetse flies transmit trypanosomes that cause Human African Trypanosomiasis (HAT) in humans and African Animal Trypanosomiasis (AAT) in animals. Understanding historical trends in the spatial distribution of tsetse fly habitat is necessary for planning vector control measures. The objectives of this study were (i) to test for evidence of any trends in suitable tsetse fly habitat and (ii) to test whether there is an association between trypanosomiasis detected from livestock sampled in dip tanks and local tsetse habitat in the project area. Results indicate a significant decreasing trend in the amount of suitable habitat. There is no significant correlation between trypanosomiasis prevalence rates in cattle and distance from patches of suitable tsetse habitat. The observed low trypanosomiasis prevalence and the lack of dependence on suitable tsetse fly habitat can be explained by the observed decreases in suitable tsetse habitat, which themselves are due to expansion of settlement and agriculture in North Western Zimbabwe.

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People, Patches, and Parasites: The Case of Trypanosomiasis in Zimbabwe

et al. 2017

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Understanding the socio-ecology of disease requires careful attention to the role of patches within disease landscapes. Such patches, and the interfaces between different socio-epidemiological systems, we argue, have important implications for disease control. We conducted an interdisciplinary study over three years to investigate the spatial dynamics of human and animal trypanosomiasis in the Zambezi valley, Zimbabwe. We used a habitat niche model to identify changes in suitable habitat for tsetse fly vectors over time, and this is related to local villagers’ understandings of where flies are found. Fly trapping and blood DNA analysis of livestock highlighted the patchy distribution of both flies and trypanosome parasites. Through livelihoods analysis we explored who makes use of what areas of the landscape and when, identifying the social groups most at risk. We conclude with a discussion of the practical implications, including the need for an integrated ‘One Health’ approach involving targeted approaches to both vector control and surveillance.

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Modelling the spatial-temporal distribution of tsetse (Glossina pallidipes) as a function of topography and vegetation greenness in the Zambezi Valley of Zimbabwe

Cited by 7 publications

References 34 publications

Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa

Using Sentinel-2 Multispectral Images to Map the Occurrence of the Cossid Moth (Coryphodema tristis) in Eucalyptus Nitens Plantations of Mpumalanga, South Africa

Evaluating the impact of declining tsetse fly (Glossina pallidipes) habitat in the Zambezi valley of Zimbabwe

People, Patches, and Parasites: The Case of Trypanosomiasis in Zimbabwe

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