As part of the global effort to mitigate climate change effects, New Zealand’s Climate Change Commission has recommended the establishment of 300,000 ha of native trees across the country by 2035. To achieve this goa...As part of the global effort to mitigate climate change effects, New Zealand’s Climate Change Commission has recommended the establishment of 300,000 ha of native trees across the country by 2035. To achieve this goal, significant improvement in seedling production and field establishment is needed. Across New Zealand, there is a trade-off between seedling size and early seedling establishment success;plants grown in large pots are more resistant to weeds, pests and frost;however, they are more expensive and take longer to grow. We tested this trade-off between cost and establishment success by raising seedlings of twelve key native species in three container grade sizes: small, large, and revegetation grade, and tracking their success across five sites around Rotorua, in the Central North Island of New Zealand. After two-year post-planting, we found that high-quality sites and larger container systems tended to promote higher survival and faster early growth (plant height and root collar diameter). Some species, such as Kunzea ericoides and Leptospermum scoparium, survived and grew well (> 75%) even when raised in small container sizes. Other species such as Sophora microphylla had very low survival (< 25%) even when raised in revegetation container grade sizes. If the quality of the planting site is high, the container size seems to be less important for most species. Other species such as Aristotelia serrata, Cordyline australis, Plagianthus regius and Podocarpus totara appear to depend more on site quality. In conclusion, nursery container systems for raising New Zealand native plants should be chosen based on the biology of the species, nursery management practices, quality of the planting site, and a balance between cost and benefit for each situation.展开更多
[Objective] This study was performed to determine the effects of sowing dates and sites on grain quality and Rapid Viscosity Analyzer （RVA） profile of Nan-jing 46. [Method] The field experiments were carried out at ...[Objective] This study was performed to determine the effects of sowing dates and sites on grain quality and Rapid Viscosity Analyzer （RVA） profile of Nan-jing 46. [Method] The field experiments were carried out at five sites in Jiangsu Province, and in every site, the seeds were sowing on seven different dates. RVA related indices were measured after harvest. [Result] Along with the delay of sowing date, the mil ing quality of Nanjing 46 increased at first and then reduced, while its appearance quality went up and the cooling and edible quality decreased. With the sowing sites moving southward, the rice mil ing quality, appearance quality, and cooling and edible quality of Nanjing 46 decreased at first and then increased. Grain traits responded variably to the sowing dates and sites. The brown rice rate, grain width, grain length, length/width, mil ed rice rate and head mil ed rice rate were less affected, while the chalky rice rate and chalkiness degree were more af-fected. The gelatinization temperature, protein content, amylose content, gel consis-tency and eating value were in-between. The RVA profile analysis revealed that the breakdown value, setback value and pasting temperature were affected by the sow-ing date and geographical environment. The peak viscosity, hot viscosity, cool vis-cosity and peak time were influenced more by geographical environment. With the delay of the sowing date, peak viscosity, hot viscosity, cool viscosity, setback value and pasting temperature decreased at first and then increased, while the breakdown value changed inversely, and the peak time did not exhibit a regular trend. With the decrease of latitude, the peak viscosity, hot viscosity, breakdown and cool viscosity declined at first and then increased, the setback value and peak time decreased, while the pasting temperature increased. [Conclusion] This study wil provide refer-ences for the effective production of Nanjing 46.展开更多
This research aimed to obtain accurate estimates of the productivity of eucalyptus plantations under different climate change scenarios without the need for additional fieldwork.Thus,we used tree growth data from 1,10...This research aimed to obtain accurate estimates of the productivity of eucalyptus plantations under different climate change scenarios without the need for additional fieldwork.Thus,we used tree growth data from 1,102research plots,existing spatially continuous environmental data,and the random forest(RF) algorithm to construct raster-based models.We constructed models to predict site index(SI) at landscape scale(250m·pixel^(-1)),which is useful for planning purposes and for analyzing the effect of climate change on productivity,and at forest plot scale(resolutions of 10,25,50,and 100 m-pixel^(-1)),which is essential for predicting plantation yields.All models explained~50% of site index variability,as is usual in this type of study.We found that the different spatial resolutions of predictor variables did not affect the amount of variability explained.This finding may be due to two opposing effects on the explained variability at finer scales:a positive effect,as finer scales enable capture of microscale landform variability through a high-resolution digital elevation model(DEM),and a negative effect due to the introduction of "noise" when downscaling the climatic and lithological information from coarser scales.Elevation and the climatic variables(mainly temperature) were the most important predictor variables:For every 100 m-increase in elevation,the productivity decreased by on average 0.3-0.9 m of site index(1-1.3 m^(3)·ha^(-1)·year^(-1) of maximum mean annual increment in volume) and for each degree-Celsiusincrease in annual mean temperature,productivity increased by about 2.2 m in site index(3 m^(3)·ha^(-1)·year^(-1)of maximum mean annual increment in volume).Due to the forecasted increase in temperatures under climate change,productivity is expected to increase significantly in Eucalyptus globulus plantations in northern Spain in the coming decades,by between 1.68% and 3.38% of the current average site index under the most pessimistic climate change scenario and between 1.79% and 2.48% of the current average site index for the moderate scenario.We conclude that currently available spatially continuous environmental data can be used to develop accurate raster data models for predicting site productivity for E.globulus without the need for fieldwork.The spatially explicit maps produced in the study provide support to forest planners,forest managers,private landowners and politicians,enabling well-founded decisions to be made regarding selection of the best sites for afforestation and providing accurate yield predictions for the plantations.展开更多
Being as an example of Fuxin, gangue abandoned place was classified gangue hill and dump. It was built 68 piece of temporary standard fields, which physical and chemical character of soil were researched and analyzed....Being as an example of Fuxin, gangue abandoned place was classified gangue hill and dump. It was built 68 piece of temporary standard fields, which physical and chemical character of soil were researched and analyzed. The quality of district site was estimated, and five type abandoned place were gotten. Stopping draining cash less than 7 a and draining cash gangue hill was regarded as I gangue hill. Stopping draining gangue age limit 7-15 a and herbage abundance being COlp level was regarded as II gangue hill. Stopping draining gangue age limit 15-25 a and herbage abundance CO2p level was regarded as III gangue hill. Stopping draining cash gangue age limit over 25 a and herbage abundance CO3p level was regarded as IV gangue hill. Dump being formed the underground layer dug up and stacked in the course of mining was regarded asVgangue hill. The results show that every typical abandoned place can plant vegetable.展开更多
A total of 128 Simao pine trees （Pinus kesiya var. langbianensis） from three regions of Pu＇er City, Yunnan Province, People＇s Republic of China, were destructively sampled to obtain tree aboveground biomass （AGB...A total of 128 Simao pine trees （Pinus kesiya var. langbianensis） from three regions of Pu＇er City, Yunnan Province, People＇s Republic of China, were destructively sampled to obtain tree aboveground biomass （AGB）. Tree variables such as diameter at breast height and total height, and topographical factors such as altitude, aspect of slope, and degree of slope were recorded. We considered the region and site quality classes as the ran- dom-effects, and the topographic variables as the fixed- effects. We fitted a total of eight models as follows： least- squares nonlinear models （BM）, least-squares nonlinear models with the topographic factors （BMT）, nonlinear mixed-effects models with region as single random-effects （NLME-RE）, nonlinear mixed-effects models with site as single random-effects （NLME-SE）, nonlinear mixed-ef- fects models with the two-level nested region and site random-effects （TLNLME）, NLME-RE with the fixed-ef- fects of topographic factors （NLMET-RE）, NLME-SE with the fixed-effects of topographic factors （NLMET-SE）, and TLNLME with the fixed-effects of topographic factors （TLNLMET）. The eight models were compared by modelfitting and prediction statistics. The results showed： model fitting was improved by considering random-effects of region or site, or both. The models with the fixed-effects of topographic factors had better model fitting. According to AIC and BIC, the model fitting was ranked as TLNLME 〉 NLMET-RE 〉 NLME-RE.〉 NLMET-SE 〉 TLNLMET 〉 NLME-SE 〉 BMT 〉 BM. The differences among these models for model prediction were small. The model pre- diction was ranked as TLNLME 〉 NLME-RE 〉 NLME- SE 〉 NLMET-RE 〉 NLMET-SE 〉 TLNLMET 〉 BMT 〉 BM. However, all eight models had relatively high prediction precision （〉90 %）. Thus, the best model should be chosen based on the available data when using the model to predict individual tree AGB.展开更多
Prediction of bacteria-carrying particle （BCP） dispersion and particle distribution released from staffmem- bers in an operating room （OR） is very important for creating and sustaining a safe indoor environment. P...Prediction of bacteria-carrying particle （BCP） dispersion and particle distribution released from staffmem- bers in an operating room （OR） is very important for creating and sustaining a safe indoor environment. Postoperative wound infections cause significant morbidity and mortality, and contribute to increased hospitalization time. Increasing the number of personnel within the OR disrupts the ventilation airflow pattern and causes enhanced contamination risk in the area of an open wound. Whether the amount of staffwithin the OR influences the BCP distribution in the surgical zone has rarely been investigated. This study was conducted to explore the influence of the number of personnel in the OR on the airflow field and the BCP distribution. This was performed by applying a numerical calculation to map the airflow field and Lagrangian particle tracking （LPT） for the BCP phase. The results are reported both for active sampling and passive monitoring approaches. Not surprisingly, a growing trend in the BCP concentration （cfu/ms） was observed as the amount of staff in the OR increased. Passive sampling shows unpredictable results due to the sedimentation rate, especially for small particles （5-10 i^m）. Risk factors for surgical site infections （SSls） must be well understood to develop more effective prevention programs.展开更多
基金supported by Te Uru Rākau,Ministry of Primary Industry-1 Billion trees project(QT-8094 TUR_2020_026 MPI)Scion SSIF funding(0810–P15502).
文摘As part of the global effort to mitigate climate change effects, New Zealand’s Climate Change Commission has recommended the establishment of 300,000 ha of native trees across the country by 2035. To achieve this goal, significant improvement in seedling production and field establishment is needed. Across New Zealand, there is a trade-off between seedling size and early seedling establishment success;plants grown in large pots are more resistant to weeds, pests and frost;however, they are more expensive and take longer to grow. We tested this trade-off between cost and establishment success by raising seedlings of twelve key native species in three container grade sizes: small, large, and revegetation grade, and tracking their success across five sites around Rotorua, in the Central North Island of New Zealand. After two-year post-planting, we found that high-quality sites and larger container systems tended to promote higher survival and faster early growth (plant height and root collar diameter). Some species, such as Kunzea ericoides and Leptospermum scoparium, survived and grew well (> 75%) even when raised in small container sizes. Other species such as Sophora microphylla had very low survival (< 25%) even when raised in revegetation container grade sizes. If the quality of the planting site is high, the container size seems to be less important for most species. Other species such as Aristotelia serrata, Cordyline australis, Plagianthus regius and Podocarpus totara appear to depend more on site quality. In conclusion, nursery container systems for raising New Zealand native plants should be chosen based on the biology of the species, nursery management practices, quality of the planting site, and a balance between cost and benefit for each situation.
基金Supported by Earmarked Fund for China Agriculture Research System(CARS-01-47)Super Late-maturing Rice Variety Breeding and Demonstration Program of Ministry of Agriculture~~
文摘[Objective] This study was performed to determine the effects of sowing dates and sites on grain quality and Rapid Viscosity Analyzer （RVA） profile of Nan-jing 46. [Method] The field experiments were carried out at five sites in Jiangsu Province, and in every site, the seeds were sowing on seven different dates. RVA related indices were measured after harvest. [Result] Along with the delay of sowing date, the mil ing quality of Nanjing 46 increased at first and then reduced, while its appearance quality went up and the cooling and edible quality decreased. With the sowing sites moving southward, the rice mil ing quality, appearance quality, and cooling and edible quality of Nanjing 46 decreased at first and then increased. Grain traits responded variably to the sowing dates and sites. The brown rice rate, grain width, grain length, length/width, mil ed rice rate and head mil ed rice rate were less affected, while the chalky rice rate and chalkiness degree were more af-fected. The gelatinization temperature, protein content, amylose content, gel consis-tency and eating value were in-between. The RVA profile analysis revealed that the breakdown value, setback value and pasting temperature were affected by the sow-ing date and geographical environment. The peak viscosity, hot viscosity, cool vis-cosity and peak time were influenced more by geographical environment. With the delay of the sowing date, peak viscosity, hot viscosity, cool viscosity, setback value and pasting temperature decreased at first and then increased, while the breakdown value changed inversely, and the peak time did not exhibit a regular trend. With the decrease of latitude, the peak viscosity, hot viscosity, breakdown and cool viscosity declined at first and then increased, the setback value and peak time decreased, while the pasting temperature increased. [Conclusion] This study wil provide refer-ences for the effective production of Nanjing 46.
基金supported by the research project of code PID2020-112839RB-I00 funded by the Spanish State Research Agency(AEI)of the Ministry of Science and Innovation(MCIN/AEI/10.13039/501100011033)in receipt of a Severo Ochoa Fellowship from the Asturias Government(code BP21-125).
文摘This research aimed to obtain accurate estimates of the productivity of eucalyptus plantations under different climate change scenarios without the need for additional fieldwork.Thus,we used tree growth data from 1,102research plots,existing spatially continuous environmental data,and the random forest(RF) algorithm to construct raster-based models.We constructed models to predict site index(SI) at landscape scale(250m·pixel^(-1)),which is useful for planning purposes and for analyzing the effect of climate change on productivity,and at forest plot scale(resolutions of 10,25,50,and 100 m-pixel^(-1)),which is essential for predicting plantation yields.All models explained~50% of site index variability,as is usual in this type of study.We found that the different spatial resolutions of predictor variables did not affect the amount of variability explained.This finding may be due to two opposing effects on the explained variability at finer scales:a positive effect,as finer scales enable capture of microscale landform variability through a high-resolution digital elevation model(DEM),and a negative effect due to the introduction of "noise" when downscaling the climatic and lithological information from coarser scales.Elevation and the climatic variables(mainly temperature) were the most important predictor variables:For every 100 m-increase in elevation,the productivity decreased by on average 0.3-0.9 m of site index(1-1.3 m^(3)·ha^(-1)·year^(-1) of maximum mean annual increment in volume) and for each degree-Celsiusincrease in annual mean temperature,productivity increased by about 2.2 m in site index(3 m^(3)·ha^(-1)·year^(-1)of maximum mean annual increment in volume).Due to the forecasted increase in temperatures under climate change,productivity is expected to increase significantly in Eucalyptus globulus plantations in northern Spain in the coming decades,by between 1.68% and 3.38% of the current average site index under the most pessimistic climate change scenario and between 1.79% and 2.48% of the current average site index for the moderate scenario.We conclude that currently available spatially continuous environmental data can be used to develop accurate raster data models for predicting site productivity for E.globulus without the need for fieldwork.The spatially explicit maps produced in the study provide support to forest planners,forest managers,private landowners and politicians,enabling well-founded decisions to be made regarding selection of the best sites for afforestation and providing accurate yield predictions for the plantations.
文摘Being as an example of Fuxin, gangue abandoned place was classified gangue hill and dump. It was built 68 piece of temporary standard fields, which physical and chemical character of soil were researched and analyzed. The quality of district site was estimated, and five type abandoned place were gotten. Stopping draining cash less than 7 a and draining cash gangue hill was regarded as I gangue hill. Stopping draining gangue age limit 7-15 a and herbage abundance being COlp level was regarded as II gangue hill. Stopping draining gangue age limit 15-25 a and herbage abundance CO2p level was regarded as III gangue hill. Stopping draining cash gangue age limit over 25 a and herbage abundance CO3p level was regarded as IV gangue hill. Dump being formed the underground layer dug up and stacked in the course of mining was regarded asVgangue hill. The results show that every typical abandoned place can plant vegetable.
基金supported by National Natural Science Foundation of China(Grant No.3116015731560209)Application Fundamental Research Plan Project of Yunnan Province,China(Grant No.2012FD027)
文摘A total of 128 Simao pine trees （Pinus kesiya var. langbianensis） from three regions of Pu＇er City, Yunnan Province, People＇s Republic of China, were destructively sampled to obtain tree aboveground biomass （AGB）. Tree variables such as diameter at breast height and total height, and topographical factors such as altitude, aspect of slope, and degree of slope were recorded. We considered the region and site quality classes as the ran- dom-effects, and the topographic variables as the fixed- effects. We fitted a total of eight models as follows： least- squares nonlinear models （BM）, least-squares nonlinear models with the topographic factors （BMT）, nonlinear mixed-effects models with region as single random-effects （NLME-RE）, nonlinear mixed-effects models with site as single random-effects （NLME-SE）, nonlinear mixed-ef- fects models with the two-level nested region and site random-effects （TLNLME）, NLME-RE with the fixed-ef- fects of topographic factors （NLMET-RE）, NLME-SE with the fixed-effects of topographic factors （NLMET-SE）, and TLNLME with the fixed-effects of topographic factors （TLNLMET）. The eight models were compared by modelfitting and prediction statistics. The results showed： model fitting was improved by considering random-effects of region or site, or both. The models with the fixed-effects of topographic factors had better model fitting. According to AIC and BIC, the model fitting was ranked as TLNLME 〉 NLMET-RE 〉 NLME-RE.〉 NLMET-SE 〉 TLNLMET 〉 NLME-SE 〉 BMT 〉 BM. The differences among these models for model prediction were small. The model pre- diction was ranked as TLNLME 〉 NLME-RE 〉 NLME- SE 〉 NLMET-RE 〉 NLMET-SE 〉 TLNLMET 〉 BMT 〉 BM. However, all eight models had relatively high prediction precision （〉90 %）. Thus, the best model should be chosen based on the available data when using the model to predict individual tree AGB.
文摘Prediction of bacteria-carrying particle （BCP） dispersion and particle distribution released from staffmem- bers in an operating room （OR） is very important for creating and sustaining a safe indoor environment. Postoperative wound infections cause significant morbidity and mortality, and contribute to increased hospitalization time. Increasing the number of personnel within the OR disrupts the ventilation airflow pattern and causes enhanced contamination risk in the area of an open wound. Whether the amount of staffwithin the OR influences the BCP distribution in the surgical zone has rarely been investigated. This study was conducted to explore the influence of the number of personnel in the OR on the airflow field and the BCP distribution. This was performed by applying a numerical calculation to map the airflow field and Lagrangian particle tracking （LPT） for the BCP phase. The results are reported both for active sampling and passive monitoring approaches. Not surprisingly, a growing trend in the BCP concentration （cfu/ms） was observed as the amount of staff in the OR increased. Passive sampling shows unpredictable results due to the sedimentation rate, especially for small particles （5-10 i^m）. Risk factors for surgical site infections （SSls） must be well understood to develop more effective prevention programs.
