In our study, we employed Camellia seed oil as the main ingredients blended with Eucommia Extract to investigate the effects of anti-hypertensive on mice by administrating mice with low dose, middle dose and high dose of Camellia seed oil complex for 4 weeks. The specific tests of studying effects of anti-hypertensive were body weight, blood systolic pressure (BSP), diastolic blood pressure (DBP), pm meam blood pressure (MBP) and heart rate (HR). And the results showed that appropriate level of Camellia seed oil complex could decrease the body weight and had an active effect on the cardiovascular system of mice, which significantly embodied the anti-hypertensive activity of Camellia seed oil complex.
{"title":"Anti-Hypertensive Effects of Blended Camellia oleifera Abel Oil and Eucommia Extract on SHR Mice","authors":"Menghao Du, Lisong Hu, X. Fang, Jingping Zhang","doi":"10.4236/ojf.2020.101001","DOIUrl":"https://doi.org/10.4236/ojf.2020.101001","url":null,"abstract":"In our study, we employed Camellia seed oil as the main ingredients blended with Eucommia Extract to investigate the effects of anti-hypertensive on mice by administrating mice with low dose, middle dose and high dose of Camellia seed oil complex for 4 weeks. The specific tests of studying effects of anti-hypertensive were body weight, blood systolic pressure (BSP), diastolic blood pressure (DBP), pm meam blood pressure (MBP) and heart rate (HR). And the results showed that appropriate level of Camellia seed oil complex could decrease the body weight and had an active effect on the cardiovascular system of mice, which significantly embodied the anti-hypertensive activity of Camellia seed oil complex.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70639376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The multiple uses of forests continue to draw interest from diverse stakeholders. Forest Management Teams model has been used to accommodate the interests of stakeholders and facilitate better forest management and improve community livelihoods through managed citizenship. In Kenya, the model has been practiced the longest in Arabuko Sokoke forest. This paper reviews the 25-year-old Arabuko Sokoke Forest Management Team using the Influence and Importance tool. The assessment demonstrates that Influence and Importance factors affect forest management either positively or negatively, fair and just use of this tool could lead to a team (citizenship) that is perpetually adapting to new tasks and emerging scenarios where local communities and stakeholders are empowered by new rights conferred to them by the partnership. In Arabuko Sokoke forest, the use of Forest Management Team has achieved enviable success in forest management, community livelihoods, organizational development and rural development—which are essential elements for forest citizenship. This paper documents how appropriate application of Influence and Importance tool bounded by external and internal actors can enhance an inclusive and adaptive participatory process.
{"title":"Forest Management Teams, a Citizenship Paradigm Analysis through Influence and Importance Factors; Experience from Arabuko Sokoke Forest, Kenya","authors":"M. T. Mbuvi, J. Musyoki, Leila Ndalilo","doi":"10.4236/ojf.2020.101007","DOIUrl":"https://doi.org/10.4236/ojf.2020.101007","url":null,"abstract":"The multiple uses of forests continue to draw interest from diverse stakeholders. Forest Management Teams model has been used to accommodate the interests of stakeholders and facilitate better forest management and improve community livelihoods through managed citizenship. In Kenya, the model has been practiced the longest in Arabuko Sokoke forest. This paper reviews the 25-year-old Arabuko Sokoke Forest Management Team using the Influence and Importance tool. The assessment demonstrates that Influence and Importance factors affect forest management either positively or negatively, fair and just use of this tool could lead to a team (citizenship) that is perpetually adapting to new tasks and emerging scenarios where local communities and stakeholders are empowered by new rights conferred to them by the partnership. In Arabuko Sokoke forest, the use of Forest Management Team has achieved enviable success in forest management, community livelihoods, organizational development and rural development—which are essential elements for forest citizenship. This paper documents how appropriate application of Influence and Importance tool bounded by external and internal actors can enhance an inclusive and adaptive participatory process.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70639490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qiqin Zhang, Alexander C. Brandt, J. Voltas, T. Nakatsuka, M. Aguilera
Stable isotopes of xylem water (18O and D) have been successfully used to determine sources of soil water for plant transpiration, but mainly in drought-prone environments. The water uptake strategies of three representative tree species in Japan, namely cedar (Cryptomeria japonica), larch (Larix kaempferi) and beech (Fagus crenata), were investigated using δ18O and δD of water (precipitation, soil and xylem), together with wood α-cellulose δ13C and δ18O, along one growing season. The study was carried out in the research forest of Yamagata University (Shonai region), a high precipitation area in Japan, which exceeds 3000 mm per year. Precipitation water δ18O and δD increased along the summer growing season, but oxygen and hydrogen isotopic composition of soil water remained essentially unchanged. In general, xylem water isotopes of cedar and larch followed the local meteoric water line, but beech xylem water was decoupled from soil and precipitation values in July and August. For this tree species, the xylem water isotopic records were more depleted than cedar and larch xylem water isotopic values and the precipitation water isotopic records, indicating that beech used more water from soil layers during July-August than the other two species, which mainly used newly-fallen precipitation. Wood δ18O showed an opposite seasonal trend to the one found for xylem water, likely because of leaf water isotope enrichment, which was in turn controlled by seasonal transpiration rate. The higher δ13C values of cedar during summer suggested that this species had enhanced water-use efficiency during the growing season compared with the deciduous species larch and beech. Our results highlight different water use strategies among forest tree species even in areas where the annual water balance is far from limiting plant performance.
{"title":"Using Water Stable Isotopes to Trace Water Sources of Three Typical Japanese Tree Species under Heavy Rainfall Conditions","authors":"Qiqin Zhang, Alexander C. Brandt, J. Voltas, T. Nakatsuka, M. Aguilera","doi":"10.4236/ojf.2020.101002","DOIUrl":"https://doi.org/10.4236/ojf.2020.101002","url":null,"abstract":"Stable isotopes of xylem water (18O and D) have been successfully used to determine sources of soil water for plant transpiration, but mainly in drought-prone environments. The water uptake strategies of three representative tree species in Japan, namely cedar (Cryptomeria japonica), larch (Larix kaempferi) and beech (Fagus crenata), were investigated using δ18O and δD of water (precipitation, soil and xylem), together with wood α-cellulose δ13C and δ18O, along one growing season. The study was carried out in the research forest of Yamagata University (Shonai region), a high precipitation area in Japan, which exceeds 3000 mm per year. Precipitation water δ18O and δD increased along the summer growing season, but oxygen and hydrogen isotopic composition of soil water remained essentially unchanged. In general, xylem water isotopes of cedar and larch followed the local meteoric water line, but beech xylem water was decoupled from soil and precipitation values in July and August. For this tree species, the xylem water isotopic records were more depleted than cedar and larch xylem water isotopic values and the precipitation water isotopic records, indicating that beech used more water from soil layers during July-August than the other two species, which mainly used newly-fallen precipitation. Wood δ18O showed an opposite seasonal trend to the one found for xylem water, likely because of leaf water isotope enrichment, which was in turn controlled by seasonal transpiration rate. The higher δ13C values of cedar during summer suggested that this species had enhanced water-use efficiency during the growing season compared with the deciduous species larch and beech. Our results highlight different water use strategies among forest tree species even in areas where the annual water balance is far from limiting plant performance.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":"10 1","pages":"7-21"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70639385","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Remote sensing (RS) and GIS are important methods for land use assessment and land cover transition. In this study, land use/land cover changes in the Ago-Owu Forest Reserve, Osun State, Nigeria have been assessed. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI were acquired for 1986, 2002 and 2017 respectively. The three scenes corresponded to path 190 and row 055 of WRS-2 (Worldwide Reference System). The processing of the imagery was preceded by the clipping of the study area from the satellite image. The boundary of the reserve was carefully digitized and used to clip the imagery to produce an image map of the forest reserve. Using the supervised image classification procedure, training sites were used to produce land use/land cover maps. The same classification scheme was used for the 1986, 2002 and 2017 images to facilitate the detection of change. The differences in the area covered by the different polygons between the three sets of images were measured in km2. The results show that during 1986 and 2017, there is a dramatic increase of build-up areas with a change of 55.65 km2 and sparse vegetation (farmland and grassland) with a change of 53.97 km2, while a dramatic decrease of dense vegetation (forest areas) with a change of 109.61 km2. The consequence of these results is that over the years, the population of people living in the forest reserve has increased and many of them are engaged in farming, leading to an increase in farmland. In addition, logging activities continued unabated in the forest reserve, as demonstrated by a sharp increase in the deforested area within the reserve. The maps produced in this study will serve as a planning tool for the Osun State Forestry Department to plan reforestation activities for the forest reserve.
{"title":"Land Use/Land Cover Changes of Ago-Owu Forest Reserve, Osun State, Nigeria Using Remote Sensing Techniques","authors":"M. O. Aderele, T. S. Bola, D. Oke","doi":"10.4236/OJF.2020.104025","DOIUrl":"https://doi.org/10.4236/OJF.2020.104025","url":null,"abstract":"Remote sensing (RS) and GIS are important methods for land use assessment and land cover transition. In this study, land use/land cover changes in the Ago-Owu Forest Reserve, Osun State, Nigeria have been assessed. Landsat 5 TM, Landsat 7 ETM+ and Landsat 8 OLI were acquired for 1986, 2002 and 2017 respectively. The three scenes corresponded to path 190 and row 055 of WRS-2 (Worldwide Reference System). The processing of the imagery was preceded by the clipping of the study area from the satellite image. The boundary of the reserve was carefully digitized and used to clip the imagery to produce an image map of the forest reserve. Using the supervised image classification procedure, training sites were used to produce land use/land cover maps. The same classification scheme was used for the 1986, 2002 and 2017 images to facilitate the detection of change. The differences in the area covered by the different polygons between the three sets of images were measured in km2. The results show that during 1986 and 2017, there is a dramatic increase of build-up areas with a change of 55.65 km2 and sparse vegetation (farmland and grassland) with a change of 53.97 km2, while a dramatic decrease of dense vegetation (forest areas) with a change of 109.61 km2. The consequence of these results is that over the years, the population of people living in the forest reserve has increased and many of them are engaged in farming, leading to an increase in farmland. In addition, logging activities continued unabated in the forest reserve, as demonstrated by a sharp increase in the deforested area within the reserve. The maps produced in this study will serve as a planning tool for the Osun State Forestry Department to plan reforestation activities for the forest reserve.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70639576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Landsat images were used to evaluate changes in forest cover of five forest fragments (Chawia, Fururu, Mbololo, Ngangao and Vuria) between 1973 and 2016. The forest fragments are part of the Eastern Arc Mountains, a global biodiversity hotspot that boasts outstanding diversity of flora and fauna and a high level of endemism. Landsat imageries of 1973, 1987, 2001, 2012 and 2016 were analyzed using ArcGIS version 10.0 to provide information on forest cover change of the fragments between 1973 and 2016. Results showed that the annual rate of deforestation was 0.5% and was similar to global estimates. The forest fragments lost 23.2% of forest cover between 1973 and 2016. The forest area lost was higher in Vuria (43.0%) and Chawia (32.7%) which are non-gazetted forests managed by the County government of Taita Taveta but lower in Fururu (3.2%), Mbololo (13.7%) and Ngangao (16.8%) which are gazetted forests managed by Kenya Forest Service. Fururu and Mbololo forest fragments gazetted in early 1990s suffered less loss in forest cover compared to Ngangao, which was gazetted 12 years later. Gazettement of forests could preclude further forest degradation and loss by improving their management for effective provision of ecosystem services and conservation of biodiversity.
{"title":"The Fate of Taita Hills Forest Fragments: Evaluation of Forest Cover Change between 1973 and 2016 Using Landsat Imagery","authors":"C. Wekesa, B. Kirui, E. Maranga, G. Muturi","doi":"10.4236/ojf.2020.101003","DOIUrl":"https://doi.org/10.4236/ojf.2020.101003","url":null,"abstract":"Landsat images were used to evaluate changes in forest cover of five forest fragments (Chawia, Fururu, Mbololo, Ngangao and Vuria) between 1973 and 2016. The forest fragments are part of the Eastern Arc Mountains, a global biodiversity hotspot that boasts outstanding diversity of flora and fauna and a high level of endemism. Landsat imageries of 1973, 1987, 2001, 2012 and 2016 were analyzed using ArcGIS version 10.0 to provide information on forest cover change of the fragments between 1973 and 2016. Results showed that the annual rate of deforestation was 0.5% and was similar to global estimates. The forest fragments lost 23.2% of forest cover between 1973 and 2016. The forest area lost was higher in Vuria (43.0%) and Chawia (32.7%) which are non-gazetted forests managed by the County government of Taita Taveta but lower in Fururu (3.2%), Mbololo (13.7%) and Ngangao (16.8%) which are gazetted forests managed by Kenya Forest Service. Fururu and Mbololo forest fragments gazetted in early 1990s suffered less loss in forest cover compared to Ngangao, which was gazetted 12 years later. Gazettement of forests could preclude further forest degradation and loss by improving their management for effective provision of ecosystem services and conservation of biodiversity.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70639417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The Bitterlich Sampling (horizontal point sampling) is a common method in forest inventories. By this method, the Horvitz-Thompson estimator is used in a number of independent sampling points for the estimation of overall tree volume in a forest area/stand. In this paper, confidence intervals are constructed and evaluated using the normal approach and two bootstrap methods; the percentile method (Cα) and the bias-corrected and accelerated method (BCα). The simulation results show that the normal confidence interval has better coverage of true value at sample size 10. At sample sizes 20 and 30, it seems that there are no substantial differences in coverage between confidence intervals, although it could be noted a small superiority of BCα method. At sample size 40, the coverage of the three confidence intervals is higher than the nominal coverage (95%).
{"title":"Normal and Bootstrap Confidence Intervals in Bitterlich Sampling","authors":"G. Stamatellos, Aristeidis Georgakis","doi":"10.4236/ojf.2020.101005","DOIUrl":"https://doi.org/10.4236/ojf.2020.101005","url":null,"abstract":"The Bitterlich Sampling (horizontal point sampling) is a common method in forest inventories. By this method, the Horvitz-Thompson estimator is used in a number of independent sampling points for the estimation of overall tree volume in a forest area/stand. In this paper, confidence intervals are constructed and evaluated using the normal approach and two bootstrap methods; the percentile method (Cα) and the bias-corrected and accelerated method (BCα). The simulation results show that the normal confidence interval has better coverage of true value at sample size 10. At sample sizes 20 and 30, it seems that there are no substantial differences in coverage between confidence intervals, although it could be noted a small superiority of BCα method. At sample size 40, the coverage of the three confidence intervals is higher than the nominal coverage (95%).","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48768703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
José Elvire Boukeng Djiongo, A. Desrochers, M. Avana, D. Khasa, L. Zapfack, É. Fotsing
We evaluated the dynamics of land use in the Bouba Ndjidda National Park (BNNP) and adjacent areas, in northern Cameroon. Using a maximum likelihood supervised classification of satellite images from 1990 to 2016, coupled with field and a socio-economic survey, we performed a robust land-use classification. Between 1990 and 2016, the area included eight classes of land use, with the largest in 1990 being the woody savannah (42.9%) followed by the gallery forest (20.2%) and the clear forest (16.3%). Between 1990 and 1999, the gallery forest lost 64.8% of its area mostly to the benefit of woody savannahs. Between 1999 and 2016, the largest loss of area was that of the clear forest, which decreased generally by 43.2% in favor of woody savannah. Rates of increase of crop field areas were 59.6% and 78.8% respectively for the periods of 1990 to 1999 and 1999 to 2016 to the detriment of woody savannahs. We attribute the changes in land use observed mainly to the increasing human population and associated agriculture, overgrazing, fuelwood harvesting and bush fires. The exploitation of non-timber forest products and climatic factors may also have changed the vegetation cover. We recommend the implementation of farming techniques with low impact on the environment such as agroforestry.
{"title":"Analysis of Spatio-Temporal Dynamics of Land Use in the Bouba Ndjidda National Park and Its Adjacent Zone (North Cameroun)","authors":"José Elvire Boukeng Djiongo, A. Desrochers, M. Avana, D. Khasa, L. Zapfack, É. Fotsing","doi":"10.4236/ojf.2020.101004","DOIUrl":"https://doi.org/10.4236/ojf.2020.101004","url":null,"abstract":"We evaluated the dynamics of land use in the Bouba Ndjidda National Park (BNNP) and adjacent areas, in northern Cameroon. Using a maximum likelihood supervised classification of satellite images from 1990 to 2016, coupled with field and a socio-economic survey, we performed a robust land-use classification. Between 1990 and 2016, the area included eight classes of land use, with the largest in 1990 being the woody savannah (42.9%) followed by the gallery forest (20.2%) and the clear forest (16.3%). Between 1990 and 1999, the gallery forest lost 64.8% of its area mostly to the benefit of woody savannahs. Between 1999 and 2016, the largest loss of area was that of the clear forest, which decreased generally by 43.2% in favor of woody savannah. Rates of increase of crop field areas were 59.6% and 78.8% respectively for the periods of 1990 to 1999 and 1999 to 2016 to the detriment of woody savannahs. We attribute the changes in land use observed mainly to the increasing human population and associated agriculture, overgrazing, fuelwood harvesting and bush fires. The exploitation of non-timber forest products and climatic factors may also have changed the vegetation cover. We recommend the implementation of farming techniques with low impact on the environment such as agroforestry.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48211123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
N. Muboko, Langton Zengeni, C. Mashapa, G. Chibememe, E. Gandiwa
Illegal wood harvesting, a factor that threatens conservation efforts, was assessed in Chimanimani National Park (CNP), eastern Zimbabwe, in April 2016. The study identified preferred indigenous woody species, determined the uses and quantities of indigenous wood extracted, and established local people’s knowledge and perceptions on forest resource conservation, institutional framework and management by-laws. Mixed data collection methods, which included questionnaires and semi-structured interviews were used. For questionnaires, a three-stage sampling design was adopted; that is, purposive sampling, where three Wards (i.e. Chikukwa Ward 11, Chikwakwa Ward 17 and Ngorima Ward 5b) were selected as study areas from a total of seventeen Wards in Chimanimani District. The three selected Wards had a combined total of 15 villages. Stage 2 involved random sampling, where three villages, one from each selected Ward, i.e. Batanai (75 households), Chikukwa (110 households) and Tamuka (46 households), with a total of 231 households, were chosen. Stage 3 was the random selection of households, where 46 questionnaires were administered and collected in the 3 selected villages, representing 20% of the targeted population. The study results highlighted that the preferred woody species included those of Acacia, Bauhinia, Brachystegia, Combretum, Pericopsis and Terminalia genera. The illegally harvested indigenous woody plants were principally for household uses. Quantities collected ranged from 0.2 to 0.4 tons for firewood monthly and 3 to 6 tons mostly for tobacco curing. Most respondents reported that by-laws were not effective in combating illegal wood harvesting. It was concluded that CNP woodlands are under pressure due to illegal wood harvesting. It is recommended that a robust community-based strategy to conserve woody species and natural resource utilisation be developed.
{"title":"The Social Dynamics of Illegal Wood Harvesting on Indigenous Woody Vegetation: A Case Study of Chimanimani National Park, Eastern Zimbabwe","authors":"N. Muboko, Langton Zengeni, C. Mashapa, G. Chibememe, E. Gandiwa","doi":"10.4236/ojf.2019.94021","DOIUrl":"https://doi.org/10.4236/ojf.2019.94021","url":null,"abstract":"Illegal wood harvesting, a factor that threatens conservation efforts, was assessed in Chimanimani National Park (CNP), eastern Zimbabwe, in April 2016. The study identified preferred indigenous woody species, determined the uses and quantities of indigenous wood extracted, and established local people’s knowledge and perceptions on forest resource conservation, institutional framework and management by-laws. Mixed data collection methods, which included questionnaires and semi-structured interviews were used. For questionnaires, a three-stage sampling design was adopted; that is, purposive sampling, where three Wards (i.e. Chikukwa Ward 11, Chikwakwa Ward 17 and Ngorima Ward 5b) were selected as study areas from a total of seventeen Wards in Chimanimani District. The three selected Wards had a combined total of 15 villages. Stage 2 involved random sampling, where three villages, one from each selected Ward, i.e. Batanai (75 households), Chikukwa (110 households) and Tamuka (46 households), with a total of 231 households, were chosen. Stage 3 was the random selection of households, where 46 questionnaires were administered and collected in the 3 selected villages, representing 20% of the targeted population. The study results highlighted that the preferred woody species included those of Acacia, Bauhinia, Brachystegia, Combretum, Pericopsis and Terminalia genera. The illegally harvested indigenous woody plants were principally for household uses. Quantities collected ranged from 0.2 to 0.4 tons for firewood monthly and 3 to 6 tons mostly for tobacco curing. Most respondents reported that by-laws were not effective in combating illegal wood harvesting. It was concluded that CNP woodlands are under pressure due to illegal wood harvesting. It is recommended that a robust community-based strategy to conserve woody species and natural resource utilisation be developed.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46887427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article introduces and evaluates a Soil Trafficability Model (STRAM) designed to estimate and forecast potential rutting depth on forest soils due to heavy machine traffic. This approach was developed within the wood-forwarding context of four harvest blocks in Northern and Central New Brunswick. Field measurements used for model calibration involved determining soil rut depths, volumetric moisture content, bulk density, soil resistance to cone penetration (referred to as cone index, or CI), and the dimensionless nominal soil cone index (NCI) defined by the ratio of CI over wheel foot print pressure. With STRAM, rut depth is inferred from: 1) machine dimensions pertaining to estimating foot print area and pressure; 2) pore-filled soil moisture content and related CI projections guided by year-round daily weather records using the Forest Hydrology Model (ForHyM); 3) accounting for within-block soil property variations using multiple and Random Forest regression techniques. Subsequent evaluations of projected soil moisture, CI and rut-depth values accounted for about 40 (multiple regression) and 80 (Random Forest) percent of the corresponding field measured values.
{"title":"Soil Trafficability Forecasting","authors":"Marie F. Jones, P. Arp","doi":"10.4236/ojf.2019.94017","DOIUrl":"https://doi.org/10.4236/ojf.2019.94017","url":null,"abstract":"This article introduces and evaluates a Soil Trafficability Model (STRAM) designed to estimate and forecast potential rutting depth on forest soils due to heavy machine traffic. This approach was developed within the wood-forwarding context of four harvest blocks in Northern and Central New Brunswick. Field measurements used for model calibration involved determining soil rut depths, volumetric moisture content, bulk density, soil resistance to cone penetration (referred to as cone index, or CI), and the dimensionless nominal soil cone index (NCI) defined by the ratio of CI over wheel foot print pressure. With STRAM, rut depth is inferred from: 1) machine dimensions pertaining to estimating foot print area and pressure; 2) pore-filled soil moisture content and related CI projections guided by year-round daily weather records using the Forest Hydrology Model (ForHyM); 3) accounting for within-block soil property variations using multiple and Random Forest regression techniques. Subsequent evaluations of projected soil moisture, CI and rut-depth values accounted for about 40 (multiple regression) and 80 (Random Forest) percent of the corresponding field measured values.","PeriodicalId":63552,"journal":{"name":"林学期刊(英文)","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42831511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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