• Journal of Forest and Environmental Science
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• 제31권4호
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• pp.241-254
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• 2015

This study attempts to examine farmers' preference and perception towards cropland agroforestry (CAF) and its economic benefits in Bangladesh. It surveys 84 farmers of two sub-districts named Manirampur and Bagherpara under Jessore district of Bangladesh to address the study objectives with the help of a questionnaire during the period of June to July 2013. We follow a multistage random sampling procedure for selecting respondents of the survey. A total of 27 plant species under 19 families are identified in the surveyed crop fields, among which 11 are tree species and 1 is shrub from 8 families and 15 species are agricultural crops from 11 families. According to the survey findings, most of the farmers prefer multipurpose tree species like Swietenia macrophylla (67 percent), Phoenix sylvestris (48 percent), Mangifera indica (48 percent) and Cocos nucifera (43 percent). We also find that Curcuma longa (92 percent), Oryza spp. (56 percent), Solanum melongena (43 percent) and Amorphophallus campanulatus (33 percent) are the available agriculture crops which are grown in association with trees in the study area. The surveyed farmers report that they practice CAF to get fuel wood, fodder, juice, fruit and food for family consumption and revenue earnings. About 76 percent of the surveyed farmers endorse the existence of a positive interaction between trees and agriculture crops, while the rest 24 percent endorse the existence of a negative interaction between trees and agriculture crops. This study finds that CAF farmers on an average earn US$ 1,410 per farm per year and the yearly average revenue difference between CAF and non-cropland agroforestry (NCAF) farmers is US$ 214. Overall, CAF needs to develop through scientific intervention in the study area to conserve the biodiversity and to enhance farmers' sustainable livelihood.

• Journal of Forest and Environmental Science
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• 제30권2호
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• pp.208-217
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• 2014

Leaf litter is the main and quick source of organic matter and nutrient to the soil compared to other parts of litter. This study focused on the nutrients (N, P and K) leaching from leaf litter of Melia azadirachta, Azadirachta indica, Eucalyptus camaldulensis, Swietenia macrophylla, Mangifera indica, Zizyphus jujuba, Litchi chinensis, Albizia saman, Artocarpus heterophyllus, Acacia auriculiformis, Dalbergia sissoo and Khaya anthotheca as the common cropland agroforest tree species of Bangladesh. About (9 to 35) % of initial mass was lost, while Electric Conductivity (EC) and TDS (Total Dissolved Solid) of leaching water increased to (573 to 3,247) ${\mu}S/cm$ and (401 to 2,307) mg/l respectively after 192 hours of leaching process. Mass loss (%) of leaf litter, EC and TDS of leaching water showed significant (ANOVA, p<0.05) curvilinear relationship with leaching time. Initial concentration of NH4, PO4 and K in leaching water was found to increase significantly (p<0.05) up to 48/72 hours and then remained almost constant at later stages (48/72 to 192 hours). Mass loss of leaves; EC, TDS, $NH_4$, $PO_4$ and K in leaching water was varied also significantly (ANOVA, p<0.05) among the studied tree species. All the tree species showed similar pattern of nutrients (K>N>P) release during the leaching process. The highest $NH_4$ (4,097 ppm) and potassium (8,904 ppm) concentration was found for M. azadirachta while the highest $PO_4$ (1,331 ppm) concentration was found for E. camaldulensis in the leaching water. Among the studied tree species, M. azadirachta, A. indica, D. sissoo, E. camaldulensis and Z. jujuba was selected as the best tree species with respect to nutrient leaching.

• 한국환경복원기술학회지
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• 제18권6호
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• pp.73-83
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• 2015

The objective of this study is to establish implications for forest restoration planning in North Korea by analyzing spatio-temporal forest changes and detecting bio-physical factors driving forest degraded. We measured the relationship and spatial distribution between shifting cultivation and sparse forest. We also analyzed between degraded forest land and ecological variables by binary logistic regression to find biophysical drivers of forest degradation and deforestation in North Korea. Between the sparse forest and the shifting cultivation, a positive relationship is found (r=0.91) and scattered discontinuously throughout the country (Moran's I = -1, Z score = -13.46 (p=0.000)). The sparse forest showed a negative relationship with the warmest month(bio 9), the coldest month(bio10), and the minimum of soil water contents (swc_min), while the shifting cultivation had a negative relationship with the warmest month(bio 9) and the minimum of soil water contents(swc_min). However, the most critical drivers convert forests into sloping farmland were the three months rainfall in summer(bio8) and the yearly mean of soil water contents. Such results reflect the growth period of crops which overlaps with the rainy season in North Korea and the recent land reclamation of uplands where the soil water contents are maintained with a dense forest. When South Korea aids forest restoration projects in North Korea, in consideration of food shortage due to North Korea's cropland deficiency, terrace farmlands where soil water contents can be maintained should be excluded from the priority restoration area. In addition, an evaluation method for selecting a potential restoration area must be modified and applied based on multiple criteria including altitude and socio-economic factors in the respective regions.