景谷县森林蓄积量遥感估测及其动态变化分析

以云南省景谷县为研究区,基于Landsat5和Landsat8遥感数据,利用2012年和2017年两期全国森林资源连续清查实地调查数据,建立多元逐步回归和随机森林模型对景谷县森林蓄积量进行遥感估测对比研究。结果显示:综合建模精度来看,随机森林法在相同样地数量条件下具有更好的估测效果;从估测结果与林地保护利用规划和林地变更数据结果相比较,随机森林法估测值接近真实值,估测精度较高。     

我国食用菌产业发展现状及产业升级路径分析

对我国食用菌产业发展现状进行梳理,指出我国食用菌行业主要存在的问题不仅是开发规模小、科技含量低,而且品种质量参差不齐、销售渠道不畅、食用菌产品存在滞销等。构建面板数据模型探究影响我国食用菌产业升级的主要影响因素,结果表明,食用菌年度生产总量、食用菌行业从业人员总数、出口贸易总额、固定资产投资、居民消费支出水平与食用菌产业结构升级之间为显著的正相关关系,基于此提出了助力我国食用菌产业升级的政策。     

城市池塘水质时间变化特性--以扬州大学江阳路南校区池塘为例

城市中的池塘是城市水体的重要组成部分,为揭示城市化背景下池塘水体水质的时间变化特性,选取扬州大学江阳路南校区池塘为研究区,对该池塘2018年7月至2019年6月的水质参数蓝绿藻浓度(Phyco)、水温(WT)、溶解氧(DO)、pH与电导率(EC)进行观测,采用变异系数法、单因子水质标识指数法以及多元线性回归法对各参数的变化特性进行评价。结果显示:池塘WT呈季节性变化;观测期间pH变化范围为7.74~9.98,水体呈碱性;DO变化的随机性较强,未表现出明显变化规律;各水质参数变异性及权重从大到小依次为WT>DO>EC>pH;以DO为指标的单因子水质标识指数结果表明:池塘DO达到Ⅲ类水要求的时段占总观测时段的84%;多元线性回归分析结果表明:DO与WT、pH呈正相关,与Phyco呈负相关,Phyco及pH的变化对DO浓度的影响相对于WT大。     

不同释放期控释肥和水氮用量对冬小麦产量的综合影响

为揭示不同释放期控释肥及其水肥用量对冬小麦产量的影响，优化冬小麦水氮管理措施，采用裂区设计进行田间试验，以灌水量为主处理，施氮量和控释肥类型分别为副处理和次副处理，其中，灌水量设30、60和90 mm；施氮量设0、75、150和225 kg/hm2的施肥梯度；控释肥类型包括释放期分别为60、120 d的聚氨酯包膜尿素（PCU60，PCU120），以普通尿素作为对照（U）。结果表明：灌水量、施氮量、控释肥类型单一因素均对冬小麦有效穗数、千粒质量、干物质质量、籽粒产量有显著影响。各因素两两之间的交互作用对籽粒产量有显著影响。相较于U处理，增加灌水使PCU60产量平均提高308 kg/hm2，PCU120产量平均下降270 kg/hm2；增施氮肥刚好相反，使PCU60产量平均下降289 kg/hm2，PCU120产量平均提高118 kg/hm2。根据所构建3种肥料的水氮生产函数可知，在U处理取得最高理论产量6 823 kg/hm2时的水氮用量下，2种释放期的控释肥PCU120和PCU60可分别获得14.31%和12.08%的增产效果。利用水氮生产函数和频率分析法得到不同控释肥类型获得较高产量的水氮用量区间，以PCU120产量最高、所需灌水量最低，分别为7 744～7 826 kg/hm2、47.72～52.28 mm；PCU60所需施氮量最低，为145.42～187.91 kg/hm2。综合考虑增产节肥节水效果，推荐PCU120为冬小麦季适宜的控释肥类型，其适宜水氮用量区间分别为47.72～52.28 mm、159.23～199.47 kg/hm2。     

安徽省花生产量与气象因素的关联度分析及预测模型研究

为分析气象因子对安徽花生产量的影响,构建适用于本地的花生单位产量预测模型,以期为探讨花生经济效益、应对气象灾害风险管理提供参考。对安徽各市2000—2017年花生气象产量和气象因子进行灰色关联度分析,筛选出关联度较大的气象因子,并采用逐步回归法建立产量预测模型。结果表明：安徽花生产量与生育期气象因子关联度5月份平均气温>7月份光照时数>5月份光照时数>6月份光照时数>7月份平均气温>8月份光照时数>8月份平均气温>6月份平均气温>8月份降水量>7月份降水量>5月份降水量>6月份降水量,应用建立的花生单位产量预测模型对历年产量进行回测,结果显示预测值与实际值均方根误差为815 kg/hm²、拟合指数为0.81,总体较好,具有一定的应用价值。     

土地规模化经营能否促进农业社会化服务获取?——基于全国3类农户样本的实证分析

土地流转和农业社会化服务是经营规模化和服务规模化的根本途径,研究二者关系对农业供给侧结构性改革、农业现代化发展乃至乡村振兴具有重要意义。基于第二期"全国新型农业经营主体发展指数调查"数据,运用负二项回归模型实证分析土地流转及转入不同特征土地对普通农户、专业大户和家庭农场农业社会化服务获取的影响。结果表明,单纯的土地转入对不同类型农户农业社会化服务获取均不具有显著影响。但如果转入土地有利于规模化经营、农业基础设施较好,则能显著促进社会化服务获取。另外,农户经营能力越强,对不同类型社会化服务的应用程度也越高。因此,政府应推动更有效率的土地流转,实现农业适度规模经营;加强农业社会化服务供给,提升农户生产经营效率;强化经营主体培训,增强联结带动能力。     

Assessing the utility of topographic variables in predicting structural complexity of tree stands in a reforested urban landscape

The transformation of natural landscapes into impervious built-up surfaces through urbanization is known to significantly interfere with the ecological integrity of urban landscapes and accelerate climate change and associated impacts. Although urban reforestation is widely recognised as an ideal mitigation practice against these impacts, it often has to compete with other lucrative land uses within an urban area. The often limited urban space provided for reforestation therefore necessitates the optimization of the ecological benefits, which demands spatially explicit information. The recent proliferation of tree stands structural complexity (SSC) and topographic data offer great potential for determining the ecological performance of reforested areas across an urban landscape. This study explores the potential of using topographic datasets to predict SSC in a reforested urban landscape and ranks the value of these topographic variables in determining SSC. Tree structural data from a reforested urban area was collected and fed into a tree stand structural complexity index, which was used to indicate ecological performance. Topographic variables (Topographic Wetness Index, slope, Area Solar Radiation and elevation)- were derived from a Digital Elevation Model (DEM) and used to predict SSC using the Partial Least Squares (PLS) regression technique. Results show that SSC varied significantly between the topographic variables. Results also show that the topographic variables could be used to reliably predict SSC. As expected, the Topographic Wetness Index and slope were the most important topographic determinants of SSC while elevation was the least valuable. These results provide valuable spatially explicit information about the ecological performance of the reforested areas within an urban landscape. Specifically, the study demonstrates the value of topographic data as aids to urban reforestation planning.     

Spatial disparities in neighborhood public tree coverage: Do modes of transportation matter?

Urban green space has various environmental and ecological benefits, and uneven access to such amenities has drawn substantial attention from policy makers in developing sustainable community planning. In this study, we illustrate the spatial distribution of publicly owned and maintained trees in Edmonton, Canada and assess neighborhoods’ heterogeneous tree availability by using the container approach. Through spatial regression models, we further investigate the association of neighborhood public tree availability with socio-economic status (SES). We contribute to the existing literature by taking resident modes of transportation into consideration, in addition to many other commonly examined SES such as household income and ethnicity. Another unique contribution of this study is that we distinguish trees planted on different location types (i.e., boulevard, park, and buffer areas) when exploring the unequal coverage across neighborhoods and among different SES groups. Key results include: (1) a general examination without differentiating location types can lead to misleading results and thus provide inappropriate policy recommendations; (2) resident modes of transportation is a critical factor associated with a neighborhood’s public tree coverage; and (3) there exists evident spatial dependence on public tree availability between neighborhoods. The results from this study provide important information to better understand the issue and to allocate public resource (such as tree coverage) more efficiently and effectively to support sustainable community development.     

Dietary protein requirement for juvenile mandarin fish,Siniperca scherzeri

An 8‐week feeding trial was conducted to investigate the dietary protein requirement of juvenile mandarin fish, Siniperca scherzeri, a demersal freshwater piscivore with high commercial value in East Asia. Five isolipidic (100 g/kg) and isoenergetic (20 MJ/kg) practical diets were formulated to contain graded levels of 450, 500, 550, 600, and 650 g/kg crude protein, using mackerel fishmeal as the sole source of protein. Each of the five test diets was fed to visual satiety to triplicate groups of fish (initial mean body weight ± SE; 20.1 ± 0.2 g) reared in a recirculating freshwater system over the experimental period. Fish growth performance in terms of weight gain tended to improve with increasing dietary protein level, and the highest values were observed in those fish fed the 600–650 g/kg diets. Feed intake significantly declined as the protein content of the diet increased. Feed efficiency and protein retention tended to increase with increasing dietary protein levels, from 450 to 600 g/kg, and then declined when dietary protein content further increased to 650 g/kg. A similar trend was also found for the protein efficiency ratio, although the observed changes did not reach statistical significance. Whole‐body composition and plasma biochemical parameters were not significantly affected by the dietary protein content. Based on these findings and a broken‐line model of growth, 614.4 g/kg seems to be the proper amount of protein in a practical diet for >20 g mandarin fish.