scholarly journals Spatial distribution of above ground carbon density in Harana Forest, Ethiopia

2022 ◽  
Vol 11 (1) ◽  
Author(s):  
Girma Ayele Bedane ◽  
Gudina Legese Feyisa ◽  
Feyera Senbeta

Abstract Background The need for understanding spatial distribution of forest aboveground carbon density (ACD) has increased to improve management practices of forest ecosystems. This study examined spatial distribution of the ACD in the Harana Forest. A grid sampling technique was employed and three nested circular plots were established at each point where grids intersected. Forest-related data were collected from 1122 plots while the ACD of each plot was estimated using the established allometric equation. Environmental variables in raster format were downloaded from open sources and resampled into a spatial resolution of 30 m. Descriptive statistics were computed to summarize the ACD. A Random Forest classification model in the R-software package was used to select strong predictors, and to predict the spatial distribution of ACD. Results The mean ACD was estimated at 131.505 ton per ha in this study area. The spatial prediction showed that the high class of the ACD was confined to eastern and southwest parts of the Harana Forest. The Moran’s statistics depicted similar observations showing the higher clustering of ACD in the eastern and southern parts of the study area. The higher ACD clustering was linked with the higher species richness, species diversity, tree density, tree height, clay content, and SOC. Conversely, the lower ACD clustering in the Harana Forest was associated with higher soil cation exchange capacity, silt content, and precipitation. Conclusions The spatial distribution of ACD in this study area was mainly influenced by attributes of the forest stand and edaphic factors in comparison to topographic and climatic factors. Our findings could provide basis for better management and conservation of aboveground carbon storage in the Harana Forest, which may contribute to Ethiopia’s strategy of reducing carbon emission.

2010 ◽  
Vol 17 (4) ◽  
pp. 734-738
Author(s):  
Qing-Nian LIU ◽  
Jun-Zhan LIU ◽  
Jian-Qing LI

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jie Zhu ◽  
Anchi Wu ◽  
Guoyi Zhou

AbstractPhosphorus (P) is an important element in terrestrial ecosystems and plays a critical role in soil quality and ecosystem productivity. Soil total P distributions have undergone large spatial changes as a result of centuries of climate change. It is necessary to study the characteristics of the horizontal and vertical distributions of soil total P and its influencing factors. In particular, the influence of climatic factors on the spatial distribution of soil total P in China’s forest ecosystems remain relatively unknown. Here, we conducted an intensive field investigation in different forest ecosystems in China to assess the effect of climatic factors on soil total P concentration and distribution. The results showed that soil total P concentration significantly decreased with increasing soil depth. The spatial distribution of soil total P increased with increasing latitude and elevation gradient but decreased with increasing longitude gradient. Random forest models and linear regression analyses showed that the explanation rate of bioclimatic factors and their relationship with soil total P concentration gradually decreased with increasing soil depths. Variance partitioning analysis demonstrated that the most important factor affecting soil total P distribution was the combined effect of temperature and precipitation factor, and the single effect of temperature factors had a higher explanation rate compare with the single effect of precipitation factors. This work provides a new farmework for the geographic distribution pattern of soil total P and the impact of climate variability on P distribution in forest ecosystems.


2021 ◽  
Vol 6 (1) ◽  
pp. 124-134
Author(s):  
Emmanuel Oyamedan Imoloame ◽  
Ibrahim Folorunsho Ayanda ◽  
Olayinka Jelili Yusuf

Abstract A survey was conducted in the Kwara State of Nigeria to study the integrated weed management (IWM) practices by farmers. This was in view of the poor weed management practices adopted by farmers, which is a major factor responsible for low yields of many arable crops in Kwara State. A multi-stage sampling technique was used to select a sample size of 480 respondents, and a structured interview schedule was used to elicit information from them. Data obtained were analyzed using descriptive statistics. Factor analysis was also carried out to examine the perception of farmers’ benefits of IWM. Results showed that the majority of farmers (29.4%) were youths, married (89.1%), and involved in medium-scale farming (47.2%). Furthermore, 50.8% of the farmers had primary or secondary education. Although farmers use different weed control methods, more than half of them (54.7%) use herbicides. Most farmers (92.6%) are engaged in the use of IWM, However, 73.5% of them use a combination of herbicides and hoe weeding. Although not properly practiced, farmers perceived IWM as having socio-environmental (29.229%) and techno-efficacious (23.495%) benefits over either hoe weeding or herbicides used alone. The findings suggest a need to train farmers on all aspects of IWM to achieve self-sufficiency in food production in Kwara State.


2021 ◽  
Vol 5 (1) ◽  
pp. 411-417
Author(s):  
Salamatu Suleiman ◽  
Usman Kibbon Adamu ◽  
Jibril Abdullahi

This study examined the soil management practices of farmers in Zaria Local Government Area, Kaduna state, Nigeria. Both primary and secondary means of data collection were employed in the study. Purposive sampling technique was used to select both the study locations and the respondents based on the characteristics of the population and the objectives of the study. The sample size of 384 copies of questionnaire was purposively used to acquire data from the selected respondents. This was analyzed in SPSS 2.0 version, using simple descriptive statistics such as frequencies, percentages and mean derived from 4-point Likert scale. The study indicated that the most adopted soil management practice by the respondents was the use of animal manure with 28.1%. This is followed by Mixed Cropping (26.3%). while shifting cultivation is the least practice (1.7%). The results also revealed that manure application is the most effective soil management practice with a mean score of ( = 4.21). while the lowest mean score is zero tilling with a value of ( = 1.51). Findings also showed that Soil fertility depletion is the strongest challenge to soil management practices with 32.9%.  The paper concludes that farmers in the study area can adopt many soil management practices. The paper recommends that there is need for mobile advisory teams of agricultural extension agents and the N-power agro unit to be set up, equipped, mobilized to reach out farmers to increase their awareness on adoption of improved agro soil management practices through training and consultation with farmers.


2019 ◽  
Vol 131 ◽  
pp. 01044
Author(s):  
Rong-rong Yang ◽  
Guang-chao Cao ◽  
Sheng-kui Cao ◽  
Yao Lan ◽  
Zhuo Zhang ◽  
...  

Based on the NPP products of MODIS data, the spatial and temporal distribution characteristics of grassland NPP and its response to climatic factors in the vegetation growing season of the main river valleys in the southern slope of Qilian Mountains from 2000 to 2016 were carried out by correlation analysis and spatial interpolation. The research further provides a scientific basis for the quality evaluation of grassland ecosystems on the southern slope of Qilian Mountain and the rational use of grassland resources along the river. The results show that: (1) With the increasing distance of buffers on both sides of the river, the NPP of grassland in each year shows the characteristics of “single-peak” distribution, which is increased first and then decreased; (2) the NPP of grassland in the main river valley of the southern slope of Qilian Mountain The spatial distribution characteristics show a trend of increasing from northwest to southeast. (3) The spatial distribution of NPP and air temperature in the main river valleys of the southern slope of Qilian Mountains is gradually increasing from northwest to southeast, but the spatial distribution correlation coefficient of NPP and precipitation in the river valley grassland of vegetation growing season basically shows a trendof decreasing from northwest to southeast.


Author(s):  
Hammad Gilani ◽  
Adeel Ahmad ◽  
Isma Younes ◽  
Sawaid Abbas

Abrupt changes in climatic factors, exploitation of natural resources, and land degradation contribute to soil erosion. This study provides the first comprehensive analysis of annual soil erosion dynamics in Pakistan for 2005 and 2015 using publically available climatic, topographic, soil type, and land cover geospatial datasets at 1 km spatial resolution. A well-accepted and widely applied Revised Universal Soil Loss Equation (RUSLE) was implemented for the annual soil erosion estimations and mapping by incorporating six factors; rainfall erosivity (R), soil erodibility (K), slope-length (L), slope-steepness (S), cover management (C) and conservation practice (P). We used a cross tabular or change matrix method to assess the annual soil erosion (ton/ha/year) changes (2005-2015) in terms of areas and spatial distriburtions in four soil erosion classes; i.e. Low (<1), Medium (1–5], High (5-20], and Very high (>20). Major findings of this paper indicated that, at the national scale, an estimated annual soil erosion of 1.79 ± 11.52 ton/ha/year (mean ± standard deviation) was observed in 2005, which increased to 2.47 ±18.14 ton/ha/year in 2015. Among seven administrative units of Pakistan, in Azad Jammu & Kashmir, the average soil erosion doubled from 14.44 ± 35.70 ton/ha/year in 2005 to 28.03 ± 68.24 ton/ha/year in 2015. Spatially explicit and temporal annual analysis of soil erosion provided in this study is essential for various purposes, including the soil conservation and management practices, environmental impact assessment studies, among others.


2016 ◽  
Vol 21 (1) ◽  
pp. 65-70
Author(s):  
Smrita Acharya ◽  
Udhab Raj Khadka

Landslide causes massive loss of lives and properties along with intangible losses in mountainous regions. Yet such intangible losses in ecosystems are rarely considered. The present study assesses the tree biomass lost due to Jure landslide in Sindhupalchowk that destroyed 71 hectare of land. Altogether, 12 plots (250 m2) were sampled through systematic and purposive sampling technique. The total tree biomass was estimated using allometric equation. The study recorded 21 tree species in which Schimawallichiii (Korth.), Lagerstroemia parviflora (Roxb.), Shorea robusta (Gaertn.), Alnus nepalensis (D. Don), Phyllanthus emblica (Linn.) and Celtius australis (Linn.) were dominant. Schima wallichiii had the highest density (320 individual ha-1) and frequency (92%). The total biomass of tree species was 216 ton ha-1 in which Schima wallichiii constituted the highest total tree biomass (82 ton ha-1). In 71 ha landslide area, the landslide caused loss of 15,336 tons of total tree biomass, which equals to 56,283 tons CO2 equivalents. These findings are relevant for assessing post-landslide impacts on the mountain environment. Furthermore, to reduce carbon emissions resulting from forest loss, mitigation of landslide is crucial.Journal of Institute of Science and TechnologyVol. 21, No. 1, 2016,Page: 65-70


2016 ◽  
Vol 6 (9) ◽  
pp. 20 ◽  
Author(s):  
Stephen Morangi Nyambegera ◽  
Caroline Njambi Gicheru

<p>The purpose of the study was to determine the factors that influence employee motivation in Kenyan Organizations. The study was guided by the following research questions: (i) what are the extrinsic factors that influence employee motivation in AMREF Health Africa in Kenya? (ii) what intrinsic factors influence employee motivation in AMREF Health Africa in Kenya? A descriptive research design was adopted. Stratified random sampling technique was used to draw a sample size of 96 respondents. The data collection instrument was a structured questionnaire developed by the researchers.  A set of descriptive and correlation statistics were adopted for analysis. The study identified several intrinsic factors that influence employee motivation. These included employee achievements, recognition, work itself, responsibility and advancement, salary structure, the level to which the employees feel appreciated, and the employee perception of their jobs among other factors. The study further, established that the intrinsic factors that influence employee motivation include empowerment and autonomy, employees’ view of their work, organization trust, skill variety requirements among others. The study recommends that the organization should acknowledge and make use of a proper mix of extrinsic and intrinsic factors in their human resource management practices to ensure that employees are well motivated to perform their tasks.</p>


2021 ◽  
Vol 5 (1) ◽  
pp. 17-27
Author(s):  
O. J. Oladiran ◽  
A. A. Bayewun ◽  
A. M. Aderogba

Construction wastes pose challenges to contractors and clients of construction projects globally, with significant negative consequences on the environment. This study investigates the environmental waste management practices (EWMPs) of contractors on construction sites. The objectives are to determine the level of awareness and adoption of EWMPs. The population of the study was construction professionals on sites in Lagos State, Nigeria. Random sampling technique was used to select 63 companies out of the 126 construction companies in categories C, D and E of firms registered with Lagos State Public Procurement Agency. The targeted respondents were construction professionals in the selected companies. Questionnaires were used to collect data from respondents. Descriptive statistics tools, including mean, percentage and frequency were used for analysis. The study's findings reveal that contractors are aware of about 28 out of the 47 EWMPs identified from literature. These include good site materials storage, ordering exact amount of materials and checking deliveries properly. It also reveals the strategies that are not used as belonging to material exchange/recyclers' association, polluter pays principle, usage of self-contained mini or mobile concrete crusher. It is concluded that although contractors are aware of 28 EWMPs, 26 EWMPs are used on construction sites which are 60% and 55%, respectively. It implies that awareness determines the usage of the EWMPs. The implication is that if the awareness of EWMPs is increased, the implementation among construction contractors will be improved. It is therefore recommended that professionals should increase their awareness and usage of neglected EWMPs. This can be achieved through construction firms, governments and institutions sponsoring training of professionals on EWMPs. Additionally, polluter pays principle and recyclers’ association should be enforced in project implementations. This can be achieved through government legislation and government regulatory policies for project procurements.Keywords: Awareness; Best practices; Construction sites; Nigeria; Waste management.    


2021 ◽  
Author(s):  
Brivaldo Gomes de Almeida ◽  
Bruno Campos Mantovanelli ◽  
Thiago Rodrigo Schossler ◽  
Fernando José Freire ◽  
Edivan Rodrigues de Souza ◽  
...  

&lt;p&gt;Geostatistical and multivariate techniques have been widely used to identify and characterize the soil spatial variability, as well as to detect possible relationships between soil properties and management. Besides that, these techniques provide information regarding the spatial and temporal structural changes of soils to support better decision-making processes and management practices. Although the Zona da Mata region is a reference for sugarcane production in the northeast of Brazil, only a few studies have been carried out to clarify the effects of different management on soil physical attributes by using geostatistical and multivariate techniques. Thus, the objectives of this study were: (I) to characterize the spatial distribution of soils physical attributes under rainfed and irrigated sugarcane cultivations; (II) to identify the minimum sampling for the determination of soil physical attributes; (III) to detect the effects of the different management on soil physical attributes based on the principal component analysis (PCA). The study was carried out in the agricultural area of the Carpina Sugarcane Experimental Station of the Federal Rural University of Pernambuco, 7&amp;#186;51&amp;#8217;13&amp;#8221;S, 35&amp;#186;14&amp;#8217;10&amp;#8221;W, characterized by a Typic Hapludult with sandy clay loam soil texture. The investigated plot, cultivated with sugarcane, included a rainfed and an irrigated treatment in which a sprinkler system was installed according to a 12x12m grid. The interval between consecutive watering was fixed in two days, whereas irrigation depth was calculated to replace crop evapotranspiration (ETc) and accounting for the effective precipitation of the period. Daily ETc was estimated based on crop coefficient and reference evapotranspiration (ETo) indirectly obtained through a class A evaporation pan. In both treatments, the soil spatial variability was determined according to a 56x32m grid, on 32 soil samples collected in the 0.0-0.1m soil layer, spaced 7x8m, and georeferenced with a global position system. The soil was physically characterized according to the following attributes: bulk density (BD), soil penetration resistance (SPR), macroporosity (Macro), mesoporosity (Meso), microporosity (Micro), total porosity (TP), saturated hydraulic conductivity (Ksat), gravimetric soil water content (SWCg), geometric mean diameter (GMD) and mean weight diameter (MWD). The results of the descriptive statistics showed that among the studied attributes, Ksat, SPR, and Macro presented higher CV values, equal to 63 and 69%, 35 and 40%, and 32 and 44%, under rainfed and irrigated conditions, respectively. The minimum sampling, adequate to characterize the different soil attributes, resulted in general smaller in the rainfed area, characterized by higher homogeneity. Thus, the GMD, SWCg (both with 2 points ha&lt;sup&gt;-1&lt;/sup&gt;), and SPR (with 6 points ha&lt;sup&gt;-1&lt;/sup&gt;) were identified as the soil physical attributes requiring the lowest sample density; on the other hand, MWD and Ksat, with 14 and 15 points ha&lt;sup&gt;-1&lt;/sup&gt;, respectively, required the highest number of samples. Pearson&amp;#8217;s correlation analysis evidenced that soil BD was the most influential physical attribute in the studied areas, with a significant and inverse effect in most of the investigated attributes. The geostatistical approach associated with the multivariate PCA provided to understand the relationships between the spatial distribution patterns associated with irrigated and rainfed management and soil physical properties.&lt;/p&gt;


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