Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego 2021 21(36) (2)

Autor	Adenike Olayungbo,
Tytuł	Land Use and Land Cover Change Detection Using Remote Geospatial Techniques: A Case Study of an Urban City in Southwestern, Nigeria
Title	Land Use and Land Cover Change Detection Using Remote Geospatial Techniques: A Case Study of an Urban City in Southwestern, Nigeria
Słowa kluczowe	land use, land cover, change detection, landsat images, supervised classification, Nigeria
Key words	land use, land cover, change detection, landsat images, supervised classification, Nigeria
Abstrakt	Many cities in developing countries are experiencing ecosystem modification and change. Today, about 10 million hectares of the world’s forest cover have been converted to other land uses. In Nigeria, there is an estimated increase of 8.75 million ha of cropland and decrease of about 1.71 million ha of forest cover between 1995 to 2020, indicating that Nigeria has been undergoing a wide range of land use and land cover changes. This paper analyses the changes in land use/cover in Ila Orangun, Southwestern, Nigeria from 1986 to 2018, with a view to providing adequate information on the pattern and trend of land use and land cover changes for proper monitoring and effective planning. The study utilized satellite images from Landsat 1986, 2002 and 2018. Remote sensing and Geographical Information System techniques as well as supervised image classification method were used to assess the magnitude of changes in the city over the study period. The results show that 26.36% of forest cover and 44.48% of waterbody were lost between the period of 1986 and 2018. There was a rapid increase in crop land by 365.7% and gradual increase in built-up areas by 103.85% at an annual rate of 3.25%. Forest was the only land cover type that recorded a constant reduction in areal extent. The study concluded that the changes in land use and land cover is a result of anthropogenic activities in the study area.
Abstract	Many cities in developing countries are experiencing ecosystem modification and change. Today, about 10 million hectares of the world’s forest cover have been converted to other land uses. In Nigeria, there is an estimated increase of 8.75 million ha of cropland and decrease of about 1.71 million ha of forest cover between 1995 to 2020, indicating that Nigeria has been undergoing a wide range of land use and land cover changes. This paper analyses the changes in land use/cover in Ila Orangun, Southwestern, Nigeria from 1986 to 2018, with a view to providing adequate information on the pattern and trend of land use and land cover changes for proper monitoring and effective planning. The study utilized satellite images from Landsat 1986, 2002 and 2018. Remote sensing and Geographical Information System techniques as well as supervised image classification method were used to assess the magnitude of changes in the city over the study period. The results show that 26.36% of forest cover and 44.48% of waterbody were lost between the period of 1986 and 2018. There was a rapid increase in crop land by 365.7% and gradual increase in built-up areas by 103.85% at an annual rate of 3.25%. Forest was the only land cover type that recorded a constant reduction in areal extent. The study concluded that the changes in land use and land cover is a result of anthropogenic activities in the study area.
Cytowanie	Olayungbo A. (2021) Land Use and Land Cover Change Detection Using Remote Geospatial Techniques: A Case Study of an Urban City in Southwestern, Nigeria.Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego, t. 21(36), z. 2: 4-14
Pełny tekst	PRS_2021_T21(36)_n2_s4.pdf
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DOI	10.22630/PRS.2021.21.2.5

Autor	Mary Pleños,
Tytuł	The Determinants of Fish Catch: A Quantile Regression Approach
Title	The Determinants of Fish Catch: A Quantile Regression Approach
Słowa kluczowe	quantile regression, fishers, catch
Key words	quantile regression, fishers, catch
Abstrakt	The goal of this study is to use quantile regression (QR) to find predictors of fishers’ catch and compare it with OLS regression. The heterogeneous association across the different quantiles of the catch distribution was investigated using QR analysis. The findings reveal that the effect changes depending on where a fisher is in the catch distribution. In the OLS, there are several non-significant predictors that appear to be significant in quantile regression. By OLS regression, demographic variables have little effect on fishers’ catch; but, in quantile regression, marital status, fishing hours, and use of motorized boats appeared to have a relatively high impact at the top of the distribution.
Abstract	The goal of this study is to use quantile regression (QR) to find predictors of fishers’ catch and compare it with OLS regression. The heterogeneous association across the different quantiles of the catch distribution was investigated using QR analysis. The findings reveal that the effect changes depending on where a fisher is in the catch distribution. In the OLS, there are several non-significant predictors that appear to be significant in quantile regression. By OLS regression, demographic variables have little effect on fishers’ catch; but, in quantile regression, marital status, fishing hours, and use of motorized boats appeared to have a relatively high impact at the top of the distribution.
Cytowanie	Pleños M. (2021) The Determinants of Fish Catch: A Quantile Regression Approach.Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego, t. 21(36), z. 2: 15-21
Pełny tekst	PRS_2021_T21(36)_n2_s15.pdf
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DOI	10.22630/PRS.2021.21.2.6

Autor	S.H. Pushpa Malkanthi, S.D. Dilini Rathnachandra,
Tytuł	Female Farmers’ Agricultural Information Needs and Food Production: A Case Study of Imbulpe ds Division in Sri Lanka
Title	Female Farmers’ Agricultural Information Needs and Food Production: A Case Study of Imbulpe ds Division in Sri Lanka
Słowa kluczowe	agricultural information, Imbulpe, information needs, Sri Lanka, women farmers
Key words	agricultural information, Imbulpe, information needs, Sri Lanka, women farmers
Abstrakt	The study was conducted to find out female farmers’ agricultural information needs and their impact on food production, in the Imbulpe DS Division in Sri Lanka. Of the female farmers in the area, 238 were taken as the sample for the study from seven selected Grama Niladhari (GN) divisions in the area. Female farmers were selected by using a simple random sampling method from these purposively selected GN divisions. A pre-tested, interviewer-administered questionnaire survey was used as the primary data collection method from March to July 2019. Data analysis was done by using descriptive statistics and chi-square analysis. The result revealed that the majority (62.6%) of respondents were middle aged (40-59 years), married, and belonged to families with 4-5 members. Most respondents (64.3 %) had studied up to junior secondary education level. Their average farm land size is 0.84 acres and they have farming experience of about 15 years. Most of the respondents mentioned that they had obtained higher levels of information needs about improved crop varieties. In addition, female farmers reported that they moderately need information on application of agrochemicals, improved market systems and modern farming technologies. Extension agents and other female farmers act as their major sources of agricultural information and ICT equipment acts as the least important agricultural information source in this area. Moreover, there is a significant positive association between the agricultural information needs and food production. Therefore, providing necessary agricultural information and enhanced utilization of ICT tools for agricultural information sources, and encouraging female farmers to participate in farming societies will lead to enhanced food production in this area.
Abstract	The study was conducted to find out female farmers’ agricultural information needs and their impact on food production, in the Imbulpe DS Division in Sri Lanka. Of the female farmers in the area, 238 were taken as the sample for the study from seven selected Grama Niladhari (GN) divisions in the area. Female farmers were selected by using a simple random sampling method from these purposively selected GN divisions. A pre-tested, interviewer-administered questionnaire survey was used as the primary data collection method from March to July 2019. Data analysis was done by using descriptive statistics and chi-square analysis. The result revealed that the majority (62.6%) of respondents were middle aged (40-59 years), married, and belonged to families with 4-5 members. Most respondents (64.3 %) had studied up to junior secondary education level. Their average farm land size is 0.84 acres and they have farming experience of about 15 years. Most of the respondents mentioned that they had obtained higher levels of information needs about improved crop varieties. In addition, female farmers reported that they moderately need information on application of agrochemicals, improved market systems and modern farming technologies. Extension agents and other female farmers act as their major sources of agricultural information and ICT equipment acts as the least important agricultural information source in this area. Moreover, there is a significant positive association between the agricultural information needs and food production. Therefore, providing necessary agricultural information and enhanced utilization of ICT tools for agricultural information sources, and encouraging female farmers to participate in farming societies will lead to enhanced food production in this area.
Cytowanie	Malkanthi S., Rathnachandra S. (2021) Female Farmers’ Agricultural Information Needs and Food Production: A Case Study of Imbulpe ds Division in Sri Lanka.Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego, t. 21(36), z. 2: 22-32
Pełny tekst	PRS_2021_T21(36)_n2_s22.pdf
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DOI	10.22630/PRS.2021.21.2.7

Autor	Amurtiya Michael, Shuaibu Mshelia, Justice Onu, Samuel Upev,
Tytuł	Poverty and its Alleviating Strategies among Rural Farming Households in Benue State, Nigeria
Title	Poverty and its Alleviating Strategies among Rural Farming Households in Benue State, Nigeria
Słowa kluczowe	poverty, alleviating strategies, rural, farming household, Nigeria
Key words	poverty, alleviating strategies, rural, farming household, Nigeria
Abstrakt	The study analysed rural farming households’ poverty status and alleviating strategies in Benue State, Nigeria. The specific objectives of the study were to: describes the rural household heads’ socio-economic characteristics; determine the poverty status of the respondents and its determinants; and identify poverty alleviating strategies of the respondents. Data for the study was collected from 420 respondents selected using a multi-stage sampling technique. Data collected were analysed using descriptive statistics, the Foster-Greer-Thorbecke poverty measurement index, and the Binary Logistic regression model. The findings of the study revealed a very high incidence of poverty (70%), having a gap of 0.34, and severity of 0.17. Poverty in the area is positively associated with the age of the household head and household size, while gender, educational level, off-farm activity, membership of a group, farm size, and land ownership are negatively associated with poverty. The common poverty alleviation strategies identified were agricultural wage labour (48.6%), rental services (45.0%), and transportation business (36.7%). Therefore, it was recommended that the government and other stakeholders should initiate sustainable social protection schemes that can assist rural residents in alleviating poverty until their condition improves.
Abstract	The study analysed rural farming households’ poverty status and alleviating strategies in Benue State, Nigeria. The specific objectives of the study were to: describes the rural household heads’ socio-economic characteristics; determine the poverty status of the respondents and its determinants; and identify poverty alleviating strategies of the respondents. Data for the study was collected from 420 respondents selected using a multi-stage sampling technique. Data collected were analysed using descriptive statistics, the Foster-Greer-Thorbecke poverty measurement index, and the Binary Logistic regression model. The findings of the study revealed a very high incidence of poverty (70%), having a gap of 0.34, and severity of 0.17. Poverty in the area is positively associated with the age of the household head and household size, while gender, educational level, off-farm activity, membership of a group, farm size, and land ownership are negatively associated with poverty. The common poverty alleviation strategies identified were agricultural wage labour (48.6%), rental services (45.0%), and transportation business (36.7%). Therefore, it was recommended that the government and other stakeholders should initiate sustainable social protection schemes that can assist rural residents in alleviating poverty until their condition improves.
Cytowanie	Michael A., Mshelia S., Onu J., Upev S. (2021) Poverty and its Alleviating Strategies among Rural Farming Households in Benue State, Nigeria.Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego, t. 21(36), z. 2: 33-44
Pełny tekst	PRS_2021_T21(36)_n2_s33.pdf
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DOI	10.22630/PRS.2021.21.2.8