Vegetation

Brink, Andreas; Bodart, Catherine; Buchanan, Graeme M.; Clerici, M.; Donnay, François; Eshiamwata, George W.; Grégoire, Jean‐Marie; Kirui, Bernard; Lupi, Andrea; Palumbo, I.; Pekel, Jean-François

doi:10.1016/b978-0-444-59559-1.00012-8

Cited by 4 publications

(7 citation statements)

References 19 publications

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“…Therefore, in Kenya, the landscapes vary greatly, encompassing a diverse range of ecosystems. These include the dry and sparsely vegetated regions in the north, the lowlands and humid rainforests along the eastern coast, the fertile lands in the central part and around Lake Victoria [39]. Inlands are broad plains and numerous hills, and in the central is home of the biodiverse mountain forests of Mount Kenya (5199 m above sea level) [39,50].…”

Section: Study Areamentioning

confidence: 99%

“…Sensitivity to precipitation pertains to both crop-based agriculture, natural vegetation, and livestock production, itself dependent on vegetation productivity [38]. Climatic variability are of great concern, particularly for inland vegetation [39]. The impact of these oscillations was already evident in 2011 when a severe drought caused unpredictable and insufficient rainfall for two consecutive growing seasons, resulting in adverse effects on natural vegetation as well as agricultural production [39].…”

Section: Introductionmentioning

confidence: 99%

“…Climatic variability are of great concern, particularly for inland vegetation [39]. The impact of these oscillations was already evident in 2011 when a severe drought caused unpredictable and insufficient rainfall for two consecutive growing seasons, resulting in adverse effects on natural vegetation as well as agricultural production [39]. The severe consequences included poor pastoral performance, resulting in a major loss of livestock and widespread food shortages, leading to a critical state of food insecurity [39].…”

Section: Introductionmentioning

confidence: 99%

“…The impact of these oscillations was already evident in 2011 when a severe drought caused unpredictable and insufficient rainfall for two consecutive growing seasons, resulting in adverse effects on natural vegetation as well as agricultural production [39]. The severe consequences included poor pastoral performance, resulting in a major loss of livestock and widespread food shortages, leading to a critical state of food insecurity [39]. Kenya stands out as a prominent economy in East Africa, where agriculture remains a cornerstone of the country's economic foundation, contributing 26% to the GDP (Gross Domestic Product) and serving as a source of livelihood for nearly 80% of the population [40].…”

Section: Introductionmentioning

confidence: 99%

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Impacts of Climate Change on Vegetation in Kenya: Future Projections and Implications for Protected Areas

Parracciani,

Buitenwerf,

Svenning

2023

Land

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Climate change will cause substantial vegetation shifts across the world. Africa may face varying dynamics such as tree decline, savannization, and woody encroachment due to rising temperatures and rainfall changes. This study examines the potential effects of climate change on Kenyan vegetation and vegetation shifts for 2050 and 2100, employing a statistical model to predict vegetation state as driven by environmental variables, including temperature, soil moisture, livestock density, and topography. We evaluate the model by hindcasting it from 2020 to 2000 and then project future vegetation states for 2050 and 2100 under SSP 2–4.5 and SSP 5–8.5. In response to moderate emissions, a notable increase in arid-associated shrubland vegetation (53–58%) is forecasted, leading to the expansion of drylands at the expense of savannas, grasslands, and forests. Under high-emission scenarios, savannas are forecasted to expand (52–65%) at the expense of forested areas. Overall, dense forest cover declines across scenarios, affecting protected areas by promoting increased savanna cover and reducing forest area (40% to 50%). These projected shifts in major vegetation types would likely alter ecosystem functioning and associated services, impacting pastoralists and wildlife and raising biodiversity concerns. Protected areas in Kenya could lose 50% of their forests, highlighting the urgency of climate change mitigation. These findings offer a crucial foundation for future research and action on Kenya’s vegetation.

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Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Impacts of Climate Change on Vegetation in Kenya: Future Projections and Implications for Protected Areas

Parracciani,

Buitenwerf,

Svenning

2023

Land

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“…By examining vegetation trends over time, this research offers valuable baseline data that can be utilized to establish monitoring and evaluation programs for assessing ecosystem dynamics. Identifying areas that have undergone degradation through historical vegetation analysis enables the prioritization of targeted restoration efforts (Brink et al, 2013). Moreover, by investigating the underlying causes of vegetation changes, this study will assist park managers in developing sustainable and effective management practices.…”

Section: Introductionmentioning

confidence: 99%

Examining spatiotemporal land cover dynamics in relation to rainfall and temperature: 1992-2022. Case of Chizarira National Park, Zimbabwe

Jeche,

Mwedzi

2023

Preprint

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Understanding the spatiotemporal dynamics of land cover is crucial for establishing effective monitoring and evaluation programs to assess ecosystem changes. This study explores the intricate land cover dynamics within Chizarira National Park (CNP), Zimbabwe, spanning the period from 1992 to 2022. It seeks to elucidate the complex interplay between climate variables, land cover changes, and human impacts within the park’s ecosystem. Utilizing Google Earth Engine (GEE), we acquired time series data for Normalized Difference Vegetation Index (NDVI), rainfall, and temperature, enabling us to map changes in five key land cover classes: water, trees, shrubs, grass, and bare land. Quantum Geographic Information System (QGIS) software facilitated further classification and the computation of area changes for each land cover class. Our analysis produced intriguing results. Mean annual Normalized Difference Vegetation Index (NDVI) exhibited fluctuations, reaching its peak in 2017 and lowest in 1995. Notably, we found no significant correlation between rainfall and NDVI (rho = 0.32, p = 0.77) or between temperature and NDVI (rho = -0.16, p = 0.45). These findings indicate that climate variables alone may not be sufficient to explain NDVI variations. Notably, CNP experienced woody encroachment, with shrubs developing into trees, potentially altering ecosystem services and land cover. Additionally, the study identified bare land in areas impacted by illegal anthropogenic activities, underscoring the need for stronger conservation enforcement. This research serves as a critical baseline for understanding CNP's complex ecological system, informing strategies for conservation, and guiding future studies aimed at preserving this unique national park. It emphasizes the importance of monitoring and addressing human-induced changes, exploring fine-scale temporal dynamics, and investigating the impacts of fires and wildlife population density on vegetation cover.

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Prediction of volatility and seasonality vegetation by using the GARCH and Holt-Winters models

Kumar,

Bharti,

Singh

et al. 2024

Environ Monit Assess

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Vegetation

Cited by 4 publications

References 19 publications

Impacts of Climate Change on Vegetation in Kenya: Future Projections and Implications for Protected Areas

Impacts of Climate Change on Vegetation in Kenya: Future Projections and Implications for Protected Areas

Examining spatiotemporal land cover dynamics in relation to rainfall and temperature: 1992-2022. Case of Chizarira National Park, Zimbabwe

Prediction of volatility and seasonality vegetation by using the GARCH and Holt-Winters models

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