Author details
Author S. Bhattarai |
Available item(s) by this author (3)
Refine your search Apply to external sourcesAn assessment on abundance of aquatic invasive plants and their management in Beeshazar lake, Chitwan / A. Sharma in Journal of Agriculture and Forestry University, Volume 2 (2018)
Title : An assessment on abundance of aquatic invasive plants and their management in Beeshazar lake, Chitwan Material Type: printed text Authors: A. Sharma, Author ; S. Bhattarai, Author ; B. Bhatta, Author Publication Date: 2018 Article on page: 225-230 p. Languages : English (eng) Keywords: Aquatic invasive species, beeshazar lake, frequency, abundance, management Abstract: Biological invasion have been a serious threat to global biodiversity, leading to global environmental
change. These scenarios are well reflected even in the protected lakes. Invasion by the alien species
has been the second leading problem, first being draining the water in Beeshazar Lake, Chitwan.
The excessive growth of these species is probably due to the high nutrients level in the lake. Under
these circumstances, this study was carried out to prepare checklist of alien invasive species, appraise
species-wise status of aquatic invasive species, and document existing practices for controlling them
in the Beeshazar Lake, Chitwan. Systematic sampling was used in which 39 plots, each with size of
1m × 1m, to count the grass species, were laid out at 58m interval. This process was facilitated by
Arc GIS software. Frequency, relative frequency, and abundance of species were calculated to find
the status of species. A total of six species were recorded among which Eichhornia was the most
frequent (F=79.4; RF=35.6) and abundant, (A=18). As this research was done during dry season,
species found during wet season were not considered. Mechanical control measure could be possible
to control weeds whereas invasive plants were pulled out manually, or by machine. However, growth
of Ludwigia amd Lemna were challenged by this removal activity; Azolla and Argeratum were more
or less affected whereas Eichhornia, Leersia and Cyperus were not affected by this measure.Link for e-copy: https://afu.edu.np/sites/default/files/An_assessment_on_abundance_of_aquatic_inv [...]
in Journal of Agriculture and Forestry University > Volume 2 (2018) . - 225-230 p.[article] An assessment on abundance of aquatic invasive plants and their management in Beeshazar lake, Chitwan [printed text] / A. Sharma, Author ; S. Bhattarai, Author ; B. Bhatta, Author . - 2018 . - 225-230 p.
Languages : English (eng)
in Journal of Agriculture and Forestry University > Volume 2 (2018) . - 225-230 p.
Keywords: Aquatic invasive species, beeshazar lake, frequency, abundance, management Abstract: Biological invasion have been a serious threat to global biodiversity, leading to global environmental
change. These scenarios are well reflected even in the protected lakes. Invasion by the alien species
has been the second leading problem, first being draining the water in Beeshazar Lake, Chitwan.
The excessive growth of these species is probably due to the high nutrients level in the lake. Under
these circumstances, this study was carried out to prepare checklist of alien invasive species, appraise
species-wise status of aquatic invasive species, and document existing practices for controlling them
in the Beeshazar Lake, Chitwan. Systematic sampling was used in which 39 plots, each with size of
1m × 1m, to count the grass species, were laid out at 58m interval. This process was facilitated by
Arc GIS software. Frequency, relative frequency, and abundance of species were calculated to find
the status of species. A total of six species were recorded among which Eichhornia was the most
frequent (F=79.4; RF=35.6) and abundant, (A=18). As this research was done during dry season,
species found during wet season were not considered. Mechanical control measure could be possible
to control weeds whereas invasive plants were pulled out manually, or by machine. However, growth
of Ludwigia amd Lemna were challenged by this removal activity; Azolla and Argeratum were more
or less affected whereas Eichhornia, Leersia and Cyperus were not affected by this measure.Link for e-copy: https://afu.edu.np/sites/default/files/An_assessment_on_abundance_of_aquatic_inv [...]
Title : Leaf litter decomposition and weight loss pattern of five tropical tree species | S. Bhattarai and B. Bhatta Material Type: printed text Authors: S. Bhattarai, Author ; B. Bhatta, Author Publication Date: 2020 Article on page: 125-131 p. Languages : English (eng) Keywords: Leaf litter decomposition in terrestrial ecosystems has a major role in recycling the nutrients to the soil. Various biotic(microorganisms) and abiotic (temperature, rainfall, humidity, seasonal variations) factors affect the rate of litter decomposition.This paper aims to compare leaf litter decomposition and weight loss pattern of five tropical tree species, and assess the effectof temperature and rainfall to the decomposition. A leaf litter bag method was used to assess the decomposition pattern forone year. Both decomposition rate constant (k), and weight loss were highest for Mallotus philippensis (% weight loss =73.49 k = 0.33) and lowest for Shorea robusta (% weight loss = 54.01 k = 0.18). The study showed a significant positivecorrelation between decomposition rate constant (k) and temperature (p = 0.000 r = 0.54) and rainfall (p = 0.000 r = 0.51).The rate of leaf litter decomposition is primarily governed by biological organisms which in turn, get largely affected byclimatic condition, especially temperature and precipitation, and litter quality. Thus, there is a need to analyze properties of leaf litter while using them as compost to get better production. Abstract: Leaf litter decomposition in terrestrial ecosystems has a major role in recycling the nutrients to the soil. Various biotic
(microorganisms) and abiotic (temperature, rainfall, humidity, seasonal variations) factors affect the rate of litter decomposition.
This paper aims to compare leaf litter decomposition and weight loss pattern of five tropical tree species, and assess the effect
of temperature and rainfall to the decomposition. A leaf litter bag method was used to assess the decomposition pattern for
one year. Both decomposition rate constant (k), and weight loss were highest for Mallotus philippensis (% weight loss =
73.49; k = 0.33) and lowest for Shorea robusta (% weight loss = 54.01; k = 0.18). The study showed a significant positive
correlation between decomposition rate constant (k) and temperature (p = 0.000; r = 0.54) and rainfall (p = 0.000; r = 0.51).
The rate of leaf litter decomposition is primarily governed by biological organisms which in turn, get largely affected by
climatic condition, especially temperature and precipitation, and litter quality. Thus, there is a need to analyze properties of
leaf litter while using them as compost to get better production.Link for e-copy: https://afu.edu.np/sites/default/files/14.%20Leaf%20litter%20decomposition%20and [...]
in Journal of Agriculture and Forestry University > Volume 3 (2019) . - 125-131 p.[article] Leaf litter decomposition and weight loss pattern of five tropical tree species | S. Bhattarai and B. Bhatta [printed text] / S. Bhattarai, Author ; B. Bhatta, Author . - 2020 . - 125-131 p.
Languages : English (eng)
in Journal of Agriculture and Forestry University > Volume 3 (2019) . - 125-131 p.
Title : Understanding the role of key determinants towards realizing food insecurity amongst the rural households: A case from Bajhang and Morang districts of Nepal Material Type: printed text Authors: N. Bastakoti, Author ; S. Bhattarai, Author Publication Date: 2022 Article on page: 247-255 p. Languages : English (eng) Keywords: Food security, MPI, HFIAS, Logit Abstract: Food insecurity is one of the single largest determinants to challenge Nepal from realizing its ambition of
graduating to a developing country. In line with the imminent national challenge, this study has tried to delve into
the real-time findings from the rural part of the country to understand the crucial determinants of food insecurity.
A household (HH) level survey with a sample size of 502 was adjudged using Krejcie and Morgan (1970)
method. Semi-structured HH survey was administered to collect the socio-economic status of the respondent.
Household Food Insecurity Access scale (HFIAS) was used to assess HHs food insecurity, whereas poverty
status was assessed using the multidimensional poverty index (MPI). Finally, to identify the determinants of
food security binary logistic regression technique was used. The MPI adjudges the aggregate status as 21%,
30.6% in Bajhang, and 14% for Morang. HFIAS tool unveiled that 47% HH were food secure. The disaggregated
figure stands as 46% and 48% of households being food secure in Bajhang and Morang districts, respectively.
Among the surveyed households, half of the households expressed food insecurity as the greatest concern and the
consequential uncertainty ahead. The assessment further found that the Per Capita Income score (p<.01 access> to financial institutions (cooperative) (p have a positive relationship in the case of Bajhang household. On the other hand, wage labor (p members in the village (only for Morang), MPI poor (p Bajhang), ethnic cast Dalit (for both) (p<.05 had a significant negative relationship on household food security.>Link for e-copy: https://afu.edu.np/sites/default/files/Understanding_the_role_of_key_determinant [...]
in Journal of Agriculture and Forestry University > Volume 5 (2022) . - 247-255 p.[article] Understanding the role of key determinants towards realizing food insecurity amongst the rural households: A case from Bajhang and Morang districts of Nepal [printed text] / N. Bastakoti, Author ; S. Bhattarai, Author . - 2022 . - 247-255 p.
Languages : English (eng)
in Journal of Agriculture and Forestry University > Volume 5 (2022) . - 247-255 p.
Keywords: Food security, MPI, HFIAS, Logit Abstract: Food insecurity is one of the single largest determinants to challenge Nepal from realizing its ambition of
graduating to a developing country. In line with the imminent national challenge, this study has tried to delve into
the real-time findings from the rural part of the country to understand the crucial determinants of food insecurity.
A household (HH) level survey with a sample size of 502 was adjudged using Krejcie and Morgan (1970)
method. Semi-structured HH survey was administered to collect the socio-economic status of the respondent.
Household Food Insecurity Access scale (HFIAS) was used to assess HHs food insecurity, whereas poverty
status was assessed using the multidimensional poverty index (MPI). Finally, to identify the determinants of
food security binary logistic regression technique was used. The MPI adjudges the aggregate status as 21%,
30.6% in Bajhang, and 14% for Morang. HFIAS tool unveiled that 47% HH were food secure. The disaggregated
figure stands as 46% and 48% of households being food secure in Bajhang and Morang districts, respectively.
Among the surveyed households, half of the households expressed food insecurity as the greatest concern and the
consequential uncertainty ahead. The assessment further found that the Per Capita Income score (p<.01 access> to financial institutions (cooperative) (p have a positive relationship in the case of Bajhang household. On the other hand, wage labor (p members in the village (only for Morang), MPI poor (p Bajhang), ethnic cast Dalit (for both) (p<.05 had a significant negative relationship on household food security.>Link for e-copy: https://afu.edu.np/sites/default/files/Understanding_the_role_of_key_determinant [...]
