scholarly journals First insights into rodent trapping in Oku village, north-west Cameroon, based on interviews with local hunters

Oryx ◽  
2020 ◽  
pp. 1-8
Author(s):  
Alain D. Missoup ◽  
Ngartoubam Didier ◽  
Ernest C. Keming ◽  
Christiane Denys
Keyword(s):  
Population Density ◽  
Human Population ◽  
Household Consumption ◽  
Medicinal Uses ◽  
North West ◽  
Quantitative Studies ◽  
Declining Populations ◽  
Closed Canopy ◽  
Northwest Region ◽  
Bushmeat Hunting

Abstract Mount Oku, in the Northwest Region of Cameroon, is known for its rodent diversity. It is located in an area with a high human population density (up to 400/km2), resulting in intense pressure on natural resources. Threats to biodiversity include overgrazing by cattle and goats in grassland areas and montane forests, firewood harvesting, agriculture, bee keeping, debarking of Prunus trees for medicinal uses, and bushmeat hunting. We used data from interviews with 106 local hunters to provide insights into rodent trapping in Oku village. Trapping took place primarily in closed canopy forest. The majority of hunters (88.8%) set at least 100 traps per week, with a mean of 38 rodents trapped per hunter per week. The two most captured species were the Vulnerable Hartwig's praomys Praomys hartwigi and the Endangered Mount Oku rat Lamottemys okuensis, both of which have declining populations. Rodents were harvested mainly for household consumption and/or local trade, but 65.1% of interviewees also used P. hartwigi for traditional medicine. Our findings suggest that rodent trapping in Oku village requires conservation attention, and that further quantitative studies are needed to assess its sustainability.

Agro-forestry and Fuel-wood in Java

1990 ◽  
Vol 17 (3) ◽  
pp. 235-238 ◽  
Author(s):  
Alfred C. Smiet
Keyword(s):  
Population Density ◽  
Human Population ◽  
Rural Poverty ◽  
Household Consumption ◽  
Forest Service ◽  
Wood Production ◽  
Fuel Wood ◽  
Human Population Density ◽  
Agro Forestry ◽  
The Village

The issue of fuel-wood is often presented as problematical within the context of population pressures and poverty. However, the case of Java, noted for its extremely high human population density (830 people/km2) and its rural poverty, shows that agro-forestry-based fuel-wood production can sustainably meet the bulk of the annual demand of 90 million m3. Fuel-wood for household consumption is collected from gardens in or near the village of its use. Industrial users account for 10% of the demand and are supplied mainly by traders, the Javan Forest Service, and tree-crop estate managers.

K-MEANS CLUSTERING ALGORITHM BASED CLASSIFICATION OF SOIL FERTILITY IN NORTH WEST NIGERIA

2020 ◽  
Vol 4 (2) ◽  
pp. 780-787
Author(s):  
Ibrahim Hassan Hayatu ◽  
Abdullahi Mohammed ◽  
Barroon Ahmad Isma’eel ◽  
Sahabi Yusuf Ali
Keyword(s):  
Soil Fertility ◽  
Crop Yield ◽  
Clustering Algorithm ◽  
Soil Samples ◽  
North West ◽  
R Programming ◽  
Available Information ◽  
Northwest Region ◽  
The Relationship

Soil fertility determines a plant's development process that guarantees food sufficiency and the security of lives and properties through bumper harvests. The fertility of soil varies according to regions, thereby determining the type of crops to be planted. However, there is no repository or any source of information about the fertility of the soil in any region in Nigeria especially the Northwest of the country. The only available information is soil samples with their attributes which gives little or no information to the average farmer. This has affected crop yield in all the regions, more particularly the Northwest region, thus resulting in lower food production.  Therefore, this study is aimed at classifying soil data based on their fertility in the Northwest region of Nigeria using R programming. Data were obtained from the department of soil science from Ahmadu Bello University, Zaria. The data contain 400 soil samples containing 13 attributes. The relationship between soil attributes was observed based on the data. K-means clustering algorithm was employed in analyzing soil fertility clusters. Four clusters were identified with cluster 1 having the highest fertility, followed by 2 and the fertility decreases with an increasing number of clusters. The identification of the most fertile clusters will guide farmers on where best to concentrate on when planting their crops in order to improve productivity and crop yield.

scholarly journals Mountain definitions and their consequences

Alpine Botany ◽  
2021 ◽  
Author(s):  
Christian Körner ◽  
Davnah Urbach ◽  
Jens Paulsen
Keyword(s):  
Species Richness ◽  
Population Density ◽  
Climatic Change ◽  
Plant Species ◽  
Human Population ◽  
Short Communication ◽  
Plant Species Richness ◽  
Mountainous Terrain ◽  
Human Population Density

AbstractMountains are rugged structures in the landscape that are difficult to delineate. Given that they host an overproportional fraction of biodiversity of high ecological and conservational value, conventions on what is mountainous and what not are in need. This short communication aims at explaining the differences among various popular mountain definitions. Defining mountainous terrain is key for global assessments of plant species richness in mountains and their likely responses to climatic change, as well as for assessing the human population density in and around mountainous terrain.

scholarly journals Bird and mammal conservation in Gaoligongshan Region and Jingdong County, Yunnan, China: patterns of species richness and nature reserves

Oryx ◽  
2000 ◽  
Vol 34 (4) ◽  
pp. 275-286 ◽  
Author(s):  
Daoying Lan ◽  
Robin Dunbar
Keyword(s):  
Species Richness ◽  
Population Density ◽  
Human Population ◽  
Yunnan Province ◽  
Nature Reserve ◽  
Present Situation ◽  
Primary Forest ◽  
Mammal Conservation ◽  
Latitudinal Patterns ◽  
Conservation Of Biodiversity

AbstractElevational and latitudinal patterns of species richness for birds and mammals were compared with human population density in relation to nature reserve designation in two areas of Yunnan Province, China. Results suggest that species richness is not the same for the two areas. In Gaoligongshan Region, species richness is inversely correlated with elevation and altitude, while reserve designation is positively correlated with elevation and latitude. In Jingdong County, reserve designations are positively correlated with elevation, but species richness shows no clear trends. In general, the present situation is strongly influenced by human activities. It appears that reserve designation is mismatched with species richness in Gaoligongshan Region, while there is a better fit between the two in Jingdong County. In both areas, however, it appeared that reserves were located primarily in order to reduce conflict with humans rather than to maximize conservation of biodiversity, probably because humans were responsible for forest—especially primary forest—destruction and degradation in the low-lying areas.

scholarly journals Human population density correlates with phylogenetic diversity and plant vulnerability in southern Africa

2013 ◽  
Vol 86 ◽  
pp. 166 ◽  
Author(s):  
O. Maurin ◽  
T.J. Davies ◽  
K. Yessoufou ◽  
B.H. Daru ◽  
B.S. Bezeng ◽  
...  
Keyword(s):  
Population Density ◽  
Southern Africa ◽  
Human Population ◽  
Phylogenetic Diversity ◽  
Human Population Density

scholarly journals Reptile diversity of Sinos River Basin

2018 ◽  
Vol 18 (3) ◽  
Author(s):  
Camila Fernanda Moser ◽  
Fernanda Rodrigues de Avila ◽  
Roberto Baptista de Oliveira ◽  
Juliano Morales de Oliveira ◽  
Márcio Borges-Martins ◽  
...  
Keyword(s):  
Population Density ◽  
River Basin ◽  
Human Population ◽  
Urban Region ◽  
Research Centers ◽  
Human Population Density ◽  
In The Wild ◽  
Medical Importance ◽  
Scientific Collections

Abstract This work aimed to catalog the species of reptiles of the Sinos River Basin based on records from scientific collections and data collected in the field. We recorded 65 species, including 46 snakes, nine lizards, five turtles, four amphisbaenians and one caiman. Snakes composed most of the recorded specimens (91.3%), and the three most representative are venomous and of medical importance. The most urban region of the basin (Lowland) has the highest number of records. This fact may be a reflection of the high human population density in this region, which would have favored the encounter of specimens and their sending to scientific collections and research centers. It is worth highlighting that most species with few specimens in the collections are also rarely observed in the wild, such as Clelia hussani and Urostrophus vautieri. This observation makes it feasible that these populations are small or that they are declining.

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