Spatial distribution of<i>Vachellia karroo</i>in Zimbabwean savannas (southern Africa) under a changing climate

Shekede, Munyaradzi Davis; Murwira, Amon; Masocha, Mhosisi; Gwitira, Isaiah

doi:10.1007/s11284-018-1636-7

Cited by 16 publications

(11 citation statements)

References 68 publications

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“…However, the range for C.goodiiformis decreased when only the extent of occurrence was considered. An increase in suitable habitat under future climates for Vachellia species has also been reported in other studies [68]. The strong relationship of C. goodiiformis to precipitation can be deduced from high permutation importance of Bio19 in Table 4.…”

Section: Environmental Variables Affecting Species Habitatssupporting

confidence: 79%

Potential Effects of Climate and Human Influence Changes on Range and Diversity of Nine Fabaceae Species and Implications for Nature’s Contribution to People in Kenya

Nyairo

Machimura

2020

Climate

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Climate and land-use changes are the main drivers of species distribution. On the basis of current and future climate and socioeconomic scenarios, species range projections were made for nine species in the Fabaceae family. Modeled species have instrumental and relational values termed as nature’s contribution to people (NCP). For each species, five scenarios were analyzed resulting in 45 species range maps. Representative concentration pathway (RCP) 4.5 and three shared socioeconomic pathways (SSPs 1, 2, and 3) were used in the analysis. Species ranges under these scenarios were modeled using MaxEnt; a niche modeling software that relates species occurrence with environmental variables. Results were used to compute species richness and evenness based on Shannon’s diversity Index. Results revealed a mix of range expansion and contraction for the modeled species. The findings highlighted which species may remain competitive in an urbanized future and which ones are detrimentally affected by climate. Parts of the country where species abundances are likely to change due to climate and socioeconomic changes were identified. Management of species will be required in people-dominated landscapes to maintain interactions between nature and society, while avoiding natural resource degradation and loss of NCP.

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Section: Environmental Variables Affecting Species Habitatssupporting

confidence: 79%

Potential Effects of Climate and Human Influence Changes on Range and Diversity of Nine Fabaceae Species and Implications for Nature’s Contribution to People in Kenya

Nyairo

Machimura

2020

Climate

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“…Prior to regression analysis, the environmental variables were first tested for multi‐collinearity to reduce redundancy and overfitting of the model using variance inflation factor (VIF). A VIF threshold of 10 was used for determining multi‐collinearity based on literature (Shekede et al, 2018). NDVI, Distance to water resources, Elevation, Aspect and Distance from roads remained as uncorrelated variables and were thus subsequently used for predicting the elephant movement in Hwange National Park.…”

Section: Methodsmentioning

confidence: 99%

Home range and space use by African elephants (Loxodonta africana) in Hwange National Park, Zimbabwe

et al. 2021

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This study examined the African elephant's (Loxodonta africana) seasonal space use and movement using elephant telemetry data in Hwange National Park. The adaptivelocal convex hull (a-LoCoH) was adopted to understand the elephant movement metrics and home range. Paired t test was used to compare the mean seasonal speed of each group (n = 10) of elephants, while the Wilcoxon signed-rank test was used to determine differences in the 50% and 90% home range. Results show that mean elephant movement speed significantly differed (t = −3.07, df = , p < 0.01) for all elephant groups across seasons. Moreover, significant differences (W = 3, Z = 2.4973, p < 0.012) were observed between core a-LoCoH home-range distributions for the wet and dry seasons. However, no significant differences (W = 10, Z = 1.7838, p > 0.05) were detected between the two seasons for the total (90%) a-LoCoH ranges. NDVI, Distance to water sources and Slope were positively related with elephant movement speed while Aspect and Distance to roads were negatively related with elephant speed.These findings underscore the importance of resource variability in driving elephant movement and foraging behaviour in a semi-arid savannah ecosystem.

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“…In this study, Generalised Linear Model was used to predict burnt area as a function of climatic variables. To achieve this, variables were first tested for collinearity using a Variance Inflection Factor of 10 based on thresholds suggested in literature (Sulaiman et al, 2021;Shekede et al, 2018). The uncorrelated variables were incorporated in a model using the stepAIC function in R studio.…”

Section: Modelling the Drivers Of Burnt Areasmentioning

confidence: 99%

A two-decade analysis of the spatial and temporal variations in burnt areas across ecosystems of Zimbabwe

Shekede¹,

Kusangaya²,

Chavava³

et al. 2023

Preprint

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Understanding wildfire dynamics in space and over time is critical for wildfire control and management. In this study, fire data from MODIS (ESA/CCI/FireCCI/5_1) with ≥ 70% confidence level was used to characterise spatial and temporal variation in fire frequency in Zimbabwe between 2001 and 2020. Results showed that burnt area increased by 16% from 3,689 km2 in 2001 to 61,330km2 2011 and decreased in subsequent years reaching its lowest in 2020 (1161km2). Over, the 20-year period, an average of 40,086.56 km2 (11%) of land was burnt annually across the country. In addition, results of the regression analysis based on Generalised Linear Model illustrated that soil moisture, wind speed and temperature significantly explained variation in burnt area. Moreover, the four-year lagged annual rainfall was positively related with burnt area suggesting that some parts in the country (southern and western) are characterised by limited herbaceous production thereby increasing the time required for the accumulation of sufficient fuel load. The study identified major fire hotspots in Zimbabwe thorough the integration of remotely sensed fire data within a spatially analytical framework. This can provide useful insights into fire evolution that which can be used to guide wildfire control and management in fire prone ecosystems. Moreover, resource allocation for fire management and mitigation can be optimised through targeting areas most affected by wildfires especially during the dry season where wildfire activity is at its peak.

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Spatial distribution ofVachellia karrooin Zimbabwean savannas (southern Africa) under a changing climate

Cited by 16 publications

References 68 publications

Potential Effects of Climate and Human Influence Changes on Range and Diversity of Nine Fabaceae Species and Implications for Nature’s Contribution to People in Kenya

Potential Effects of Climate and Human Influence Changes on Range and Diversity of Nine Fabaceae Species and Implications for Nature’s Contribution to People in Kenya

Home range and space use by African elephants (Loxodonta africana) in Hwange National Park, Zimbabwe

A two-decade analysis of the spatial and temporal variations in burnt areas across ecosystems of Zimbabwe

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