Relevant bibliographies by topics / Guinea savanna zone

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Academic literature on the topic 'Guinea savanna zone'

Author: Grafiati
Published: 4 June 2021
Last updated: 8 February 2022

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Journal articles on the topic "Guinea savanna zone"

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Tofa, Abdullahi I., Uche F. Chiezey, Bashir A. Babaji, Alpha Y. Kamara, Adnan A. Adnan, Aloysius Beah, and Adam M. Adam. "Modeling Planting-Date Effects on Intermediate-Maturing Maize in Contrasting Environments in the Nigerian Savanna: An Application of DSSAT Model." Agronomy 10, no. 6 (June 18, 2020): 871. http://dx.doi.org/10.3390/agronomy10060871.

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The Crop Environment Resource Synthesis (CERES)-Maize model in Decision Support System for Agricultural Technology Transfer (DSSAT) was calibrated and evaluated with experimental data for simulation of response of two intermediate-maturing maize varieties to different sowing dates in the Nigerian savannas. The calibration experiments involved 14 consecutive field trials conducted in the rainy and dry seasons in Bayero University Kano (BUK), Dambatta, and Zaria between 2014–2019. Two sets of field experiments were conducted simultaneously for model evaluation in Iburu in the southern Guinea savanna zone and Zaria in the northern Guinea savanna zone during 2015 and 2016 cropping seasons. The experiments for calibration had two maize (SAMMAZ-15 and SAMMAZ-16) varieties planted under optimum conditions with no water and nutrients stresses. The trials for model evaluation were conducted using the same varieties under four different nitrogen (N) rates (0, 60, 120 and 180 kg N ha−1). A 30-year (1985–2014) term simulation was performed to determine effect of varying sowing dates on yields of two maize varieties (SAMMAZ-15 and SAMMAZ-16) in the Sudan savanna (SS), northern Guinea savanna (NGS), and southern Guinea savanna (SGS) zones. The calibration results showed that the cultivar coefficients of the two maize varieties resulted in simulated growth and development parameters that were in good agreement with observed parameters. Model evaluation showed a good agreement between simulated and observed data for phenology and growth of maize. This demonstrated the potential of the CERES-Maize model to simulate growth and yield of maize in the Nigeria savannas. Results of 30-year sensitivity analysis with 9 different sowing windows showed that in SS, sowing the intermediate maize varieties from early to mid-June produced the highest grain yields. In NGS, the optimum sowing windows were found between late June and late July for the both varieties. In SGS, the optimum sowing window is from early June to late July for SAMMAZ-15 and mid-June to late July for SAMMAZ-16. These planting windows gave the highest long-term average yields for each variety. The variety SAMMAZ-15 was found to be best performing across the three agro-ecologies. Maize performance was generally higher in NGS than in SGS. SS in the Sudan savanna recorded the lowest yield compared with other locations.
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Marshall, Adrian G., and R. Moylan Gambles. "Odonata from the Guinea Savanna Zone in Ghana." Journal of Zoology 183, no. 2 (August 20, 2009): 177–87. http://dx.doi.org/10.1111/j.1469-7998.1977.tb04180.x.

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Twizeyimana, M., P. S. Ojiambo, K. Sonder, T. Ikotun, G. L. Hartman, and R. Bandyopadhyay. "Pathogenic Variation of Phakopsora pachyrhizi Infecting Soybean in Nigeria." Phytopathology® 99, no. 4 (April 2009): 353–61. http://dx.doi.org/10.1094/phyto-99-4-0353.

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Soybean rust, caused by Phakopsora pachyrhizi, is an important disease in Nigeria and many other soybean-producing countries worldwide. To determine the geographical distribution of soybean rust in Nigeria, soybean fields were surveyed in the Derived Savanna (DS), Northern Guinea Savanna (NGS), and Southern Guinea Savanna (SGS) agroecological zones in Nigeria between 2004 and 2006. Disease severity in each zone was determined and analyzed using geostatistics. Prevalence of infected fields and disease severity in surveyed fields were significantly (P < 0.05) different between geographical zones with both variables being higher in the DS zone than in either NGS or SGS zones. Geostatistical analysis indicated that the spatial influence of disease severity at one location on severity at other locations was between 75 and 120 km. An exponential model best described the relationship between semivariance and lag distance when rust severity was high. Spatial interpolation of rust severity showed that locations in the DS zone were more conducive for the rust epidemic compared to areas in the NGS zone. In the 2005 survey, 116 purified isolates were established in culture on detached soybean leaves. To establish the nature of pathogenic variation in P. pachyrhizi, a set of four soybean accessions with Rpp1, Rpp2, Rpp3, and Rpp4 resistance genes, two highly resistant and two highly susceptible genotypes were inoculated with single uredinial isolates. Principal component analysis on the number of uredinia per square centimeter of leaf tissue for 116 isolates indicated that an adequate summary of pathogenic variation was obtained using only four genotypes. Of these four, PI 459025B (with Rpp4 gene) and TG× 1485-1D had the lowest and highest number of uredinia per square centimeter, respectively. Based on cluster analysis of the number of uredinia per square centimeter, seven pathotype clusters were determined. Isolates in cluster III were the most virulent, while those in cluster IV were the least virulent. Shannon's index (H) revealed a more diverse pathogen population in the DS zone (H = 1.21) compared to the rust population in SGS and NGS with H values of 1.08 and 0.91, respectively. This work will be useful in breeding and management of soybean rust by facilitating identification of resistant genotypes and targeting cultivars with specific resistance to match prevailing P. pachyrhizi pathotypes in a given geographical zone.
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Fairhead, James, and Melissa Leach. "Enriching the landscape: social history and the management of transition ecology in the forest–savanna mosaic of the Republic of Guinea." Africa 66, no. 1 (January 1996): 14–36. http://dx.doi.org/10.2307/1161509.

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AbstractThe mosaic of forest and savanna vegetation found along the northern margin of West Africa's moist forest zone has generally been understood in policy circles as a degraded and degrading forest landscape, following savannisation by its farming populations. Some ecologists have suggested that the vegetation mosaic may, however, be more stable, determined by soil differences, and others still that forest may be encroaching on savanna as a result of long-term climatic rehumidification. This article presents historical evidence from Kissidougou which shows that, contrary to scientific and policy orthodoxy there, forest areas have been increasing at the expense of savanna in recent times. The article outlines the local agro-ecological practices which have been enriching the landscape, and examines how the observed course of vegetation change this century can be accounted for in the articulation of these practices with political, economic, demographic and climatic changes. A retheorisation of ecology in the forest–savanna mosaic is offered which, in drawing on non-equilibrium dynamics, offers a better framework for understanding people's impact on forest–savanna ecology.
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Aweto, A. O., and D. O. Adejumobi. "Impact of grazing on soil in the southern guinea savanna zone of Nigeria." Environmentalist 11, no. 1 (March 1991): 27–32. http://dx.doi.org/10.1007/bf01263195.

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Cumberlidge, Neil. "Sudanonautes kagoroensis, a new species of freshwater crab (Decapoda: Potamoidea: Potamonautidae) from Nigeria." Canadian Journal of Zoology 69, no. 7 (July 1, 1991): 1938–44. http://dx.doi.org/10.1139/z91-268.

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A freshwater crab, Sudanonautes kagoroensis n.sp., is described and illustrated on the basis of 57 specimens from seven localities in the guinea savanna zone of central Nigeria. The taxonomic relationship of S. kagoroensis to other freshwater crabs from Nigeria belonging to this genus is discussed and its ecology and distribution are described. Seven species of Sudanonautes Bott, 1955 are now known from Nigeria.
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Inusah, Baba I. Y., Wilson Dogbe, Alhassan Lansah Abdulai, Julius Yirzagla, Michael Mawunya, and Abu Safiyanu Issahak. "Yield Gap Survey in Sudanno-Guinea Savanna Agro-Ecological Zones of Ghana." Sustainable Agriculture Research 4, no. 1 (January 16, 2015): 127. http://dx.doi.org/10.5539/sar.v4n1p127.

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<p>Yield gap survey (YGS) was carried out in nine selected communities in the Sudanno-Guinea Savannah (SGS) rice growing ecologies of Ghana in the 2012 and 2013 cropping seasons. One lead farmer was selected from each community to host researcher-managed fields. The specific objectives of the study were to determine the causes of yield gaps in rain fed and irrigated ecologies of the SGS of Ghana and to suggest ways by which the gaps can be bridged to enhance the production of the crop in Ghana</p> <p>In both 2012 and 2013 seasons, farmers in the Sudan savannah zone recorded higher gaps in rice yields (average 55%) than their compatriots in the Guinea Savannah (average 49%). The analysis of data collected from YGS indicated that factors such as difficult weather and soil conditions, insufficient access to mechanization services/improper land preparation, lack of fertilizers, the use of unimproved rice seed, untimely field operations and inadequate water and pest (in particular weed) management, were some of the key factors that adversely influence rice yields in the study area<em>.</em></p> <p>Unrestricted access to mechanization services delivery, intensified use of improved rice seed, appropriate melioration with organic and inorganic fertilizers, together with robust soil and water management interventions are essential requirements for bridging experiment-based yield gaps for enhanced rice yields in the Sudanno-Guinea Savannah zones of Ghana.</p>
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Buah, S. S. J., and S. Mwinkaara. "Response of Sorghum to Nitrogen Fertilizer and Plant Density in the Guinea Savanna Zone." Journal of Agronomy 8, no. 4 (September 15, 2009): 124–30. http://dx.doi.org/10.3923/ja.2009.124.130.

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YAMOAH, C. F., P. AY, and A. A. AGBOOLA. "THE USE OFGLIRICIDIA SEPIUMFOR ALLEY CROPPING IN THE SOUTHERN GUINEA SAVANNA ZONE OF NIGERIA." International Tree Crops Journal 3, no. 4 (January 1986): 267–79. http://dx.doi.org/10.1080/01435698.1986.9752798.

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Salami, S. O., F. A. Makinde, and G. M. Garba. "Foetal wastage in goats slaughtered in Zaria abattoir, Northern Guinea Savanna Zone of Nigeria." Nigerian Journal of Animal Production 37, no. 1 (January 10, 2021): 117–22. http://dx.doi.org/10.51791/njap.v37i1.692.

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The study was carried out with the aim of determining the age and percentage wastage of foetus due to the slaughter of pregnant does in Zango Abattoir, Samaru, Zaria. Out of a total of 680 female goats slaughtered during three months (January to March, 1998), 275 (40.44%) of the were pregnant. From the pregnant uteri, 460 foetuses were recovered and used for the study. Out of the recovered foetuses 41.09, 21.82 and 37.09% were twins, triplets and single respectively. The weight as well as the crown-rump of the foetuses were measured and the results obtained were used to determine their estimated ages. It was found that the highest percentage (46.2%) 0f the foetuses fell within the first trimeter of pregnancy, while the second and third trimesters had 30% and 23.8% respectively. The regression equations and the results of the correlation analysis showed that the gestational age of the local breeds of goats can be accurately estimated by crown-rump measurement. It was concluded that complete lack of pregnancy dignostic test on does before slaughtering in the abattoirs resulted in heavy losses of foetuses which call to question the role of the veterinary personnel at the abattoir with the consequence reduction in the availability of animal protein in the country. The study also gave an insight into the use of two easily measured variables: foetal weight (FW) and crown rump lenght (CRL) as a means for age estimates in goats.
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Dissertations / Theses on the topic "Guinea savanna zone"

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Black, Helaina I. J. "Abundance and distribution of Microtermes (Isoptera: Termitidae: Macrotermitinae) in cultivated and uncultivated areas at Mokwa in the Southern Guinea savanna vegetation zone of Nigeria." Thesis, Queen Mary, University of London, 1994. http://qmro.qmul.ac.uk/xmlui/handle/123456789/52083.

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Population dynamics of Microtermes (Isoptera; Macrotermitinae) are investigated in the Southern Guinea savanna vegetation zone of Nigeria. Study sites were primary woodland, long-term maize and a randomised block experiment established from secondary woodland with woodland, pasture, sweet potato, groundnuts, yam and maize. The species assemblage Comprised of Microtermes allleo, Microtermes n.sp. c., Microtermes grassei, Microtermes/epidus, Microtermes subhyalinus. 2 Microtermes abundance and distribution (n/m2) to a soil depth of 1 metre are examined in Chapter Four. Community structure differed with vegetation cover. Abundance was generally higher in the wet compared to the dry season and abundance.was greatest in long-term maize and higher in newly cleared and cultivated sites than in woodland. M subhya/inus was the most abundant species in all vegetation types except long-term cultivated maize where M /epidus was the most abundant species. Changes in crop alter species abundance and Microtermes community structure. Microtermes fungus comb abundance (n/m2), individual dry weight (g) and total dry weight (g/m2) to a soil depth of 1 metre in primary and secondary woodland and short and long-term maize are examined in Chapter Five. Vegetation cover had an influence on seasonal changes in the abundance, individual and total dry weights of fungus combs. M subhyalinus fungus combs showed the greatest seasonal changes, in secondary woodland and short-term maize. Microtermes foraging activity on softwood baits with season, species and vegetation is examined in Chapter Six. Seasonal differences in foraging activity were recorded but differences over time were more significant. Foraging activity differed with vegetation and species. Percentage of baits attacked by species as a proportion of the total number of baits attacked by all species was the best indicator of foraging activity. Non-random foraging was identified for Microtermes with positive associations among M. subhya/inus, M. aluco and M. lepidus. Microtermes foraging activity on baits is compared with soil abundance in Chapter Seven using diversity indices and simple linear regression analysis. Foraging activity can give a more accurate indication of species richness than soil sampling. Foraging activity can be correlated positively with soil abundance, most significantly with wet season assessments.
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Alhassan, Ahmed Yakubu. "Effect of seedbed type and different intercrop densities of soya bean (glycine max) and pigeonpea (cajanus cajan) on the performance of sorghum (sorghum bicolor) in the Guinea savannah zone of Ghana." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342319.

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Nketia, Kwabena Abrefa. "Space-time modelling of seasonal soil moisture for improved crop production – the case of the Guinea savannah region, Ghana." Thesis, 2020. http://hdl.handle.net/21.11130/00-1735-0000-0005-1527-8.

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Books on the topic "Guinea savanna zone"

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1943-, Binswanger-Mikhize Hans P., and Byerlee Derek, eds. Awakening Africa's sleeping giant: Prospects for commercial agriculture in the Guinea Savannah zone and beyond. Washington, DC: The World Bank, 2009.

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Black, Helaina I. J. Abundance and distribution of Microtermes (Isoptera; Termitidae; Macrotermitinae) in cultivated and uncultivated areas at Mokwa in the southern Guinea savanna vegetation zone of Nigeria. Queen Mary and Westfield College, 1994.

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Book chapters on the topic "Guinea savanna zone"

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Bala, A., A. O. Osunde, and A. J. Odofin. "Organic Matter Utilisation and the Determinants of Organic Manure Use by Farmers in the Guinea Savanna Zone of Nigeria." In Innovations as Key to the Green Revolution in Africa, 965–74. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2543-2_97.

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Ahiabor, B. D. K., M. Fosu, E. Atsu, I. Tibo, and I. Sumaila. "Integrated Soil Fertility Management for Increased Maize Production in the Degraded Farmlands of the Guinea Savanna Zone of Ghana Using Devil-Bean (Crotalaria retusa) and Fertilizer Nitrogen." In Innovations as Key to the Green Revolution in Africa, 183–89. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-2543-2_17.

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Iyiola-Tunji, Adetunji Oroye, James Ijampy Adamu, Paul Apagu John, and Idris Muniru. "Dual Pathway Model of Responses Between Climate Change and Livestock Production." In African Handbook of Climate Change Adaptation, 523–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_230.

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AbstractThis chapter was aimed at evaluating the responses of livestock to fluctuations in climate and the debilitating effect of livestock production on the environment. Survey of livestock stakeholders (farmers, researchers, marketers, and traders) was carried out in Sahel, Sudan, Northern Guinea Savannah, Southern Guinea Savannah, and Derived Savannah zones of Nigeria. In total, 362 respondents were interviewed between April and June 2020. The distribution of the respondents was 22 in Sahel, 57 in Sudan, 61 in Northern Guinea Savannah, 80 in Southern Guinea Savannah, and 106 in Derived Savannah. The respondents were purposively interviewed based on their engagement in livestock production, research or trading activities. Thirty-eight years’ climate data from 1982 to 2019 were obtained from Nigerian Metrological Agency, Abuja. Ilela, Kiyawa, and Sabon Gari were chosen to represent Sahel, Sudan, and Northern Guinea Savannah zone of Nigeria, respectively. The data contained precipitation, relative humidity, and minimum and maximum temperature. The temperature humidity index (THI) was calculated using the formula: THI = 0.8*T + RH*(T-14.4) + 46.4, where T = ambient or dry-bulb temperature in °C and RH=relative humidity expressed as a proportion. Three Machine Learning model were built to predict the monthly minimum temperature, maximum temperature, and relative humidity respectively based on information from the previous 11 months. The methodology adopted is to treat each prediction task as a supervised learning problem. This involves transforming the time series data into a feature-target dataset using autoregressive (AR) technique. The major component of the activities of livestock that was known to cause injury to the environment as depicted in this chapter was the production of greenhouse gases. From the respondents in this chapter, some adaptive measures were stated as having controlling and mitigating effect at reducing the effect of activities of livestock on the climate and the environment. The environment and climate on the other side of the dual pathway is also known to induce stress on livestock. The concept of crop-livestock integration system is advocated in this chapter as beneficial to livestock and environment in the short and long run. Based on the predictive model developed for temperature and relative humidity in a sample location (Ilela) using Machine Learning in this chapter, there is need for development of a web or standalone application that will be useable by Nigerian farmers, meteorological agencies, and extension organizations as climate fluctuation early warning system. Development of this predictive model needs to be expanded and made functional.
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Ojebisi, Stephen Muyiwa, and Temitope Y. Kolade-Oje. "Responses of Cereal Farmers to Drought in Guinea Savannah Ecological Zone of Nigeria." In Handbook of Climate Change Management, 1–20. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-22759-3_263-1.

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Ayanlade, Ayansina, and Stephen M. Ojebisi. "Climate Variability and Change in Guinea Savannah Ecological Zone, Nigeria: Assessment of Cattle Herders’ Responses." In Handbook of Climate Change Resilience, 729–47. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-93336-8_18.

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Ayanlade, Ayansina, and Stephen M. Ojebisi. "Climate Variability and Change in Guinea Savannah Ecological Zone, Nigeria: Assessment of Cattle Herders’ Responses." In Handbook of Climate Change Resilience, 1–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71025-9_18-1.

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Ayinde, O. E., T. Abdoulaye, G. A. Olaoye, and A. O. Oloyede. "Evaluation of Women’s On-Farm Trial of Drought Tolerant Maize in Southern Guinea Savannah Agro-Ecological Zone of Nigeria." In Building a Resilient and Sustainable Agriculture in Sub-Saharan Africa, 81–95. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76222-7_5.

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Gbode, Imoleayo E., Vincent O. Ajayi, Kehinde O. Ogunjobi, Jimy Dudhia, and Changhai Liu. "Impacts of Global Warming on West African Monsoon Rainfall." In African Handbook of Climate Change Adaptation, 2469–83. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_93.

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AbstractThe impacts of global warming on rainfall in West Africa were examined using a numerical framework for 5 monsoon years (2001, 2007, 2008, 2010, and 2011). Rainfall characteristics over the three climatic zones, Guinea coast, Savannah, and Sahel, were analyzed. The potential changes associated with global warming were assessed by the pseudo-global warming (PGW) downscaling method. Multiple PGW runs were conducted using climate perturbation from the 40-member ensemble of the Community Earth System Model version 1 (CESM1) coupled with Community Atmospheric Model version 5.2 (CAM5.2) component large ensemble project. The model output was compared with Tropical Rainfall Measuring Mission and Global Precipitation Climatology Project rainfall alongside surface temperature from the European Center for Medium-Range Weather Forecast Reanalysis. Results show that the estimated rainfall amount from the future climate in the 2070s increases slightly compared with the current climate. The total rainfall amount simulated for the current climate is 16% and 63% less than that of the PGW runs and observations, respectively. Also found is an increase (decrease) in heavy (light and moderate) rainfall amount in the PGW runs. These results are, however, contingent on the global circulation model (GCM), which provides the boundary conditions of the regional climate model. CESM1.0-CAM5.2, the GCM employed in this study, tends to provide a greater surface temperature change of about 4 °C. This projected temperature change consequently caused the increase in the simulated precipitation in the PGW experiments, thus highlighting the advantage of using the PGW method to estimate the likely difference between the present and future climate with reduced large-scale model differences and computational resources. The findings of this study are, however, useful to inform decision-making in climate-related activities and guide the design of climate change adaptation projects for the West African region.
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Fairhead, James. "Archaeology and Environmental Anthropology: Collaborations in Historical and Political Ecology." In Humans and the Environment. Oxford University Press, 2013. http://dx.doi.org/10.1093/oso/9780199590292.003.0027.

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This chapter examines the importance of integrating archaeological perspectives within contemporary environmental anthropology. It does this through exposing key questions raised by environmental anthropologists concerning West African relations with soil and forests that can only be addressed through collaboration with archaeological investigation (see also Balée, Chapter 3 this volume). Environmental anthropological research has been particularly important in revealing the ecological knowledge and environmental practices of land users and how these practices interplay with ecological and economic processes in the shaping of landscapes. This research has systematically undermined a paradigm of environmental reasoning that equates land use with the progressive degradation of otherwise ‘natural’, ‘equilibrial’, or ‘pristine’ environments (whether of soils, forests, or faunal assemblages). Whilst equilibrial ecology is apparently no longer upheld in ecological sciences either, in its shift to non-equilibrium ecology and recognition of path dependency, and whilst nature is no longer so easily configured simply as the absence of people, assumptions rooted in such simplistic ideas of nature still strongly inform and mislead the way West African environments are understood and problematized. Anthropologically derived critiques of the way landscapes are understood have been associated with a rereading of the history of those landscapes. Yet given how oral historical and anthropologically derived historical evidence can so easily be delegitimized and dismissed by apparently ‘harder’ sciences, environmental archaeology becomes a crucial player in these debates. In this brief chapter I shall focus on two key debates which can only be resolved (or reconceptualized) through environmental archaeology. The first of these concerns the degradation (or otherwise) of soils and vegetation linked to farming in West Africa’s Guinea savannah and forest-savannah transition zones. The second concerns the legacy of past land use on current ‘old growth’ forest in the Central and West African humid forest zones. These are not only interesting debates, but are at the heart of sustainable development policy deliberation in West Africa. The continued power of the paradigm in environmental reasoning that equates land use with the progressive degradation of otherwise ‘natural’ or ‘pristine’ environments is visible in the way that landscape features are often interpreted uncritically as ‘relicts’ of that nature.
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Young, Kenneth R., and Paul E. Berry. "Flora and Vegetation." In The Physical Geography of South America. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195313413.003.0013.

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South America’s shape, size, and geographic position, now and in the past, have acted to influence the development of diverse coverings of land surfaces with plants of different sizes, adaptations, and origins. Underlying geologic structures have been exposed to weathering regimes, thereby resulting in a multiplicity of landforms, soil types, and ecological zones. The most notable large-scale features are the Andes, which curl along the western margin of the continent, and the broad swath of the Amazon lowlands in the equatorial zone. However, there are also extensive, more ancient mountain systems in the Brazilian Shield of east-central Brazil and the Guiana Shield in northern South America. The interplay of environmental factors has given rise to a panoply of vegetation types, from coastal mangroves to interior swamplands, savannas, and other grasslands, deserts, shrublands, and a wide array of dry to moist and lowland to highland forest types. The narrower southern half of South America is also complex vegetationally because of the compression of more vegetation types into a smaller area and the diverse climatic regimes associated with subtropical and temperate middle latitudes. Alexander von Humboldt began to outline the major features of the physical geography of South America in his extensive writings that followed his travels in the early nineteenth century (von Humboldt, 1815–1832). For example, he first documented the profound influences of contemporary and historical geologic processes such as earthquakes and volcanoes, how vegetation in mountainous areas changes as elevation influences the distributions of plant species, and the effect of sea surface temperatures on atmospheric circulation and uplift and their impacts on precipitation and air temperatures (Botting, 1973; Faak and Biermann, 1986). His initial insights, in combination with modern observations (Hueck and Seibert, 1972; Cabrera and Willink, 1973; Davis et al., 1997; Lentz, 2000), still serve to frame our synthesis of the major vegetation formations of South America. In this chapter, we relate vegetation formations to spatial gradients of soil moisture and elevation in the context of broad climatic and topographic patterns.
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Conference papers on the topic "Guinea savanna zone"

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Asala, Shatu Wudiri. "Determination of insect pests associated with yam (Dioscoreaspp.) in Guinea savanna zone of Nigeria." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.105779.

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