Forest Stand Dynamics and Livestock Grazing in Historical Context

Abstract:  Livestock grazing has been implicated as a cause of the unhealthy condition of ponderosa pine forest stands in the western United States. An evaluation of livestock grazing impacts on natural resources requires an understanding of the context in which grazing occurred. Context should include timing of grazing, duration of grazing, intensity of grazing, and species of grazing animal. Historical context, when and under what circumstances grazing occurred, is also an important consideration. Many of the dense ponderosa pine forests and less-than-desirable forest health conditions of today originated in the early 1900s. Contributing to that condition was a convergence of fire, climate, and grazing factors that were unique to that time. During that time period, substantially fewer low-intensity ground fires (those that thinned dense stands of younger trees) were the result of reduced fine fuels (grazing), a substantial reduction in fires initiated by Native Americans, and effective fire-suppression programs. Especially favorable climate years for tree reproduction occurred during the early 1900s. Exceptionally heavy, unregulated, unmanaged grazing by very large numbers of horses, cattle, and sheep during the late nineteenth and early twentieth centuries occurred in most of the U.S. West and beginning earlier in portions of the Southwest. Today, livestock numbers on public lands are substantially lower than they were during this time and grazing is generally managed. Grazing then and grazing now are not the same.     

中国泥炭地有机碳储量与储存特征分析

根据全国泥炭资源调查的结果, 运用有机质含量、干容重、泥炭储量、泥炭地面积等数据估算中国泥炭地有机碳储量,并探讨其碳储存特征.结果表明,我国泥炭地有机碳总储量约15.03亿t.在各省和各气候区分布不均匀,四川省(6.45亿t)和云南省(2.91亿t)泥炭地有机碳储量最丰富,占总储量的62.29%.各气候区中高原湿润区泥炭地有机碳储量最大(7.14亿t),特别是若尔盖高原泥炭地有机碳储量(6.30亿t)占总储量的41.92%.我国泥炭地有机碳密度一般在80~140kg/m3, 最大值为270~360kg/m3,最小值小于80kg/m3,其分布以燕山、太行山至横断山为界,西北部低,东南部高.泥炭地单位面积有机碳储量均值为143.97kg/m2,滇南高原最高,达到637.06kg/m2.区域平均泥炭地有机碳积累强度为208.23 t/km2,若尔盖高原最高达3972.71t/km2.     

长株潭地区人为源氨排放清单及分布特征

根据收集到的长株潭地区各类人为源氨排放的活动水平数据和排放系数,建立了长株潭地区2013年人为源氨排放清单,并根据空间特征数据进行了3 km×3km的空间网格分配.结果表明,长株潭地区2013年人为源氨排放总量为7.27×10~4t,排放强度为2.59 t·km~(-2);其中,畜禽养殖业和农田生态系统为最主要的氨排放源,氨排放分担率分别达58.60%和29.73%;畜禽养殖业中,肉牛、蛋鸡和肉猪是主要贡献源,分别占畜禽养殖业氨排放总量的26.26%、21.40%和18.43%;宁乡县、湘潭县和浏阳市为氨排放量较大的县市,分别占长株潭地区氨排放总量的17.49%、12.82%和12.02%;石峰区和岳塘区的氨排放强度最大,分别达到了9.14 t·km~(-2)和5.01 t·km~(-2).空间分布特征显示排放量较大的网格主要是大型点源.     

不同光照条件下浒苔与三种赤潮微藻的竞争

针对苏北浅滩水体浊度高、营养盐含量大、且被大多数学者认为是南黄海绿潮起源的实际情况,本文通过室内培养实验,研究了不同光照条件（0~4500lx）下浒苔与中肋骨条藻、东海原甲藻和新月菱形藻对营养盐的竞争作用;并与苏北浅滩实际水体光照相结合,评估了浒苔与3种微藻在不同深度下的生理状态.浒苔与微藻的竞争,是决定暴发何种藻华的关键因素之一.结果表明,与3种微藻相比,浒苔对光照的适应性更强,最大日均相对增长率为11.91%/d.微藻与浒苔共培养时,生长情况明显劣于单独培养,中肋骨条藻、东海原甲藻和新月菱形藻的生长抑制率分别为30%~46%,3%~44%,25%~41%,并且不同微藻对竞争作用的响应不同.营养盐监测数据表明,对有限营养盐的争夺是浒苔和微藻竞争作用的主要机制,研究结果为苏北浅滩浒苔绿潮的暴发机制提供了依据.     

农村生活污水处理设施优先控制区域识别与监管策略

选取嘉兴市秀洲区和海宁市为研究对象,以乡镇区划为研究单元,采用综合源强估算法和GIS软件,对处理设施的氨氮（NH₃-N）、总磷（TP）、化学需氧量（COD）排放强度进行定量估算和空间分析.结果表明,秀洲区处理设施的NH₃-N和COD排放强度高于海宁市,而TP排放强度与海宁市差不多.秀洲区内,洪合镇各污染物的排放强度均最高;海宁市内,盐官镇NH₃-N排放强度最高,许村镇TP和COD排放强度最高.采用因子分析法和加权指数法计算排污权重,再结合生态敏感性评价和环境功能区划,筛选出运维和监管优先控制区.秀洲区内,洪合镇、王江泾镇、油车港镇被划分为优先控制区,该优先控制区内处理设施数量占比27.87%,排污权重占比72.42%,通过重点监管17.66%的设施,可监管秀洲区59.98%的污染物排放.海宁市内,长安镇、许村镇、海洲街道、盐官镇、袁花镇被划分为优先控制区,该优先控制区内设施数量占比69.10%,排污权重占比71.23%,通过重点监管16.85%的设施,可监管海宁市43.54%的污染物排放.研究结果可为提高设施的运维监管效率提供技术支撑.     

杭州市工业源VOCs排放清单及排放特征

杭州市作为2016年国际峰会、2022年亚运会等一系列重大活动的举办地,对VOC源排放清单的研究,尤其是工业源VOCs的影响越来越受到管理部门和当地居民的重视.通过采取自下而上的方式,首次对杭州市涉及VOCs排放的30多个行业的3 518家企业逐一进行了详细的调查和估算,并在此基础上建立了杭州市工业源VOCs排放清单.从区域排放、排放强度、空间分布等不同角度对杭州市工业源VOCs排放特征进行了系统分析.研究结果表明,2015年杭州市工业源VOCs排放量为36 839.5 t;印刷和记录媒介复制、化学原料和化学制品制造、金属制品、纺织、橡胶和塑料制品行业是杭州市工业源VOCs排放量最大的五个行业;排放总量最大是萧山区,其次是富阳区和大江东产业集聚区;工业源VOCs排放强度最高的区域为富阳区、建德市和临安市;工业源VOCs排放主要集中在萧山区、大江东、富阳区、余杭区等工业企业较为密集的区域.     

江苏太仓5.1级地震震害及启示

本文对江苏太仓5.1级地震造成的灾因进行了较为客观的分析,并在此基础上,提出了相应的对策。     

乌鲁木齐市冬季近地逆温特点及其与可吸入颗粒物浓度的相关关系分析

总结了乌鲁木齐市冬季逆温的形成及其特点,着重分析逆温强度等与可吸入颗粒物浓度的相关关系,最终得出线性方程,并做出线性拟合图。     

海原大地震极震区内烈度衰减异常探讨

宁夏海原大地震极震区所存在的南北两侧地震烈度衰减异常及伴随的震害程度差异现象,严格受极震区内黄土微地形地貌、土层厚度、显微结构、工程地质特性和发震构造断裂的控制。上述诸因素与地震波耦合后,达到进一步激化和放大地震能量的效应,导致研究区内黄土强度瞬间丧失,并因之具更高的地震易损性而加重震害。     

Accounting for variation in prey selectivity by zooplankton

An ingestion-based prey selectivity function (IS) is described specifically to aid the simulation of zooplankton activity in circumstances in which selectivity varies, for example, as functions of prey palatability or abundance. In IS, the ultimate control of the rate of predation is not the external concentration of prey but the total rate of prey capture relative to predator demand. Further, “preference” is not an input (as it is for most prey selection functions) so that the selection or deselection of any or all prey can be freely altered. Hence, if required, all prey could be deselected, or the impact of inert materials or turbulence adversely affecting capture rates of any or all prey can be considered. Capture kinetics are not fixed at a common value for all items. In its basic form IS contains no more variables than other selectivity functions. The construction and use of switches to vary grazing in response to changes in abundance of alternative prey types or in prey nutritional (stoichiometric) quality is demonstrated. The advantages of using IS instead of the widely used ratio-based selectivity function is demonstrated with reference to model fits to experimental datasets for microzooplankton activity.