基于MGWR的黄河流域土壤有机碳密度和影响因素分析

土壤有机碳作为最大陆地碳库,其空间分布特征和影响因素对于全球碳循环过程具有重要影响.基于土壤有机碳密度数据,结合环境因子,使用多尺度地理加权回归（MGWR）模型预测了黄河流域土壤有机碳密度（SOCD）和影响因素.结果表明：①黄河流域0~20 cm和0~100 cm的SOCD范围分别为0~14.82 kg ·m^-2和0~32.39kg ·m^-2,均值分别为3.48 kg ·m^-2和8.07kg ·m^-2,储量则分别为2.76 Pg和6.48 Pg;②各生态系统类型中,0~20 cm的SOCD从大到小依次为：森林>水体与湿地>其他>草地>农田>聚落>荒漠,0~100 cm的SOCD从大到小依次为：水体与湿地>森林>其他>草地>农田>聚落>荒漠,SOCR从大到小皆为：草地>农田>森林>荒漠>水体与湿地>聚落>其他;③黄河流域SOCD的分布主要受常数项、剖面曲率、NDVI和降水的影响,曲率和粉砂对深层的SOCD的分布也具有重要影响;此外,降水、NDVI和常数项（除森林外）是影响各生态系统的主要因素,曲率和粉砂则仅对荒漠和其他生态系统具有重要影响.研究结果得出了黄河流域SOCD的空间分布和影响因素,可为黄河流域碳平衡、土壤质量评价和生态治理恢复与巩固提升提供科学依据.     

黄土丘陵区不同恢复植被类型的固碳特征

为分析黄土高原水土流失严重区不同恢复植被类型的固碳特征,比较恢复年限和坡向因素对植被碳汇效应的影响,在陕北黄土丘陵区选取了6种典型植被类型（农地、草地、沙棘、柠条、刺槐和山杨）,研究了不同类型的生态系统碳密度及其构成特征.结果表明：①半干旱黄土区植被恢复具有明显的碳汇功能,不同植被组分（地上生物、地下根系和枯落物）碳密度均表现出乔木>灌丛>草地>农地的变化特征.农地0~40 cm土层土壤有机碳密度最低（1355.5 g ·m^-2）,草地、沙棘、柠条、刺槐和山杨较农地分别增加了91.4%、125.2%、144.0%、124.5%和232.6%.②草地、沙棘、柠条和山杨的不同植被组分碳密度和不同土层（0~5、5~20和20~40 cm）土壤有机碳密度随恢复时间的推移总体上表现出增加趋势.③坡向对农地和草地植被碳密度无明显影响,沙棘、柠条、刺槐和山杨不同坡向间的植被碳密度差异明显.土壤有机碳密度存在明显的阴阳坡差异,农地、草地、沙棘、柠条、刺槐和山杨阳坡土壤有机碳密度分别比阴坡减少了22.9%、34.3%、75.8%、49.1%、22.4%和69.4%.④不同类型的生态系统碳密度差异明显,其中农地最低（2022.1 g ·m^-2）,草地、沙棘、柠条、刺槐和山杨较农地分别增加了48.7%、152.8%、125.1%、166.3%和530.7%.生态系统各组分碳密度总体表现为：土壤层>地上生物层>根系层>枯落物层.土壤有机碳构成了农地、草地、沙棘、柠条和刺槐碳密度的主体,分别占生态系统碳密度的67.0%、86.3%、59.7%、72.7%和56.5%.研究结果可为黄土高原地区科学管理生态系统碳库和推进生态环境治理提供重要依据.     

GSM移动通信基站电磁辐射环境影响分析

本文阐述了电磁辐射的相关理论、电磁辐射环境的评价标准以及基站的工作原理,对电磁环境进行了理论预测,对不同的天线增益下的电磁辐射功率密度值进行了计算,得到了在天线增益15dBi、17dBi和18dBi三种情况下与天线不同直线距离的预测点的功率密度预测值,并对功率密度预测值进行了分析。     

Understanding Trait‐Dependent Community Disassembly: Dung Beetles,Density Functions,and Forest Fragmentation

Abstract: Anthropogenic disturbances such as fragmentation are rapidly altering biodiversity, yet a lack of attention to species traits and abundance patterns has made the results of most studies difficult to generalize. We determined traits of extinction‐prone species and present a novel strategy for classifying species according to their population‐level response to a gradient of disturbance intensity. We examined the effects of forest fragmentation on dung beetle communities in an archipelago of 33 islands recently created by flooding in Venezuela. Species richness, density, and biomass all declined sharply with decreasing island area and increasing island isolation. Species richness was highly nested, indicating that local extinctions occurred nonrandomly. The most sensitive dung beetle species appeared to require at least 85 ha of forest, more than many large vertebrates. Extinction‐prone species were either large‐bodied, forest specialists, or uncommon. These explanatory variables were unrelated, suggesting at least 3 underlying causes of extirpation. Large species showed high wing loading (body mass/wing area) and a distinct flight strategy that may increase their area requirements. Although forest specificity made most species sensitive to fragmentation, a few persistent habitat generalists dispersed across the matrix. Density functions classified species into 4 response groups on the basis of their change in density with decreasing species richness. Sensitive and persistent species both declined with increasing fragmentation intensity, but persistent species occurred on more islands, which may be due to their higher baseline densities. Compensatory species increased in abundance following the initial loss of sensitive species, but rapidly declined with increasing fragmentation. Supertramp species (widespread habitat generalists) may be poor competitors but strong dispersers; their abundance peaked following the decline of the other 3 groups. Nevertheless, even the least sensitive species were extirpated or rare on the smallest and most isolated islands.     

Validation of a Lagrangian dispersion model implementing different kernel methods for density reconstruction

In this paper the inert version of a Lagrangian particle model named photochemical Lagrangian particle model (PLPM) is described and validated. PLPM implements four density reconstruction algorithms based on the kernel density estimator. All these methods are fully grid-free but they differ each other in considering local or global features of the particles distribution, in treating the Cartesian directions separately or together and in being based on receptors or particles positions in space. Each kernel has been shown to have both advantages and disadvantages, but the overall good performances of the model when compared with the well known Copenhagen and Kincaid data sets are very encouraging in view of its extension to fully chemically active simulations, currently under development.     

Stand density index applied to timber and goshawk habitat objectives in Douglas-fir

Silvicultural guidelines are presented for the management of intermountain Douglas-fir (Pseudotsuga menziesii) stands for sawtimber production and goshawk (Accipiter gentilis) nesting habitat in the northern Rocky Mountains. Data from 14 goshawk nest stands in Douglas-fir forests on the Targhee National Forest in Idaho (Patla 1991) were used to characterize the range of stand conditions considered suitable for goshawk nesting. A density management regime is presented using Reineke's stand density index that includes a technical rotation designed to produce sawlogs with a single commercial thinning. On average timber-growing sites, stands reach goshawk habitat suitability when site height is 25 m at age 75 and provide 65 years of goshawk nesting habitat until the final harvest at age 140. Approximately 1320 m³/ha are harvested over the rotation. On higher-quality sites, rotation length declines from 140 to 85 years, of which roughly 35 years are suitable for goshawk nesting.     

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.     

地质封存中CO_2盐水溶液的表观摩尔体积模型

在现有CO2盐水溶液密度模型的基础上,根据CO2地下盐水溶液密度实验数据,考虑了温度、压力和CO2质量分数三个参数的影响,建立了CO2盐水溶液的表观摩尔体积模型。模型结果表明该模型能在30~50℃、10~20 MPa温压范围内准确预测CO2在盐水溶液中的表观摩尔体积,将预测结果与实验数据进行对比发现最大相对误差为0.25%,平均相对误差为0.1%,模型预测精度明显高于现有的CO2盐水溶液表观摩尔体积模型,为CO2地下盐水层封存提供了必要的基础。     

三峡库区大宁河沉积物营养盐时空分布及其与叶绿素的相关性分析

为研究大宁河底泥营养盐时空分布与藻细胞分布的关系,本研究在大宁河选择4个代表性的取样点:菜子坝、白水河、双龙和大昌,利用垂直重力采泥器,按照2 cm厚度分层选取底泥,检测底泥中总氮,氨氮、硝态氮、亚硝态氮、总磷、无机磷、有机磷和叶绿素的垂向分布,分析叶绿素与营养盐的相关性.结果表明,菜子坝底泥0.0~2.0 cm总氮浓度最高,白水河底泥2.0~4.0 cm的总氮浓度最高;菜子坝底泥2.0~4.0 cm氨氮浓度最高,1和2月白水河底泥4.0~6.0 cm浓度较高;硝酸氮和亚硝酸氮(除3月)在菜子坝底泥2.0~4.0 cm浓度最高;氨氮、硝酸氮和亚硝酸氮浓度在同一个采样点底泥4.0 cm以下分层差异不显著;白水河底泥总磷0.0~6.0 cm呈增加趋势,菜子坝底泥表层的总磷和无机磷的浓度显著高于其它分层,而且每一分层中总磷、无机磷浓度都高于其他3个取样点相应的分层;有机磷在菜子坝和大昌的浓度高于白水河和双龙的浓度,但是同一采样点底泥不同分层的有机磷浓度差异不显著;同一深层底泥中的叶绿素a浓度在大昌最高,其次是白水河,再次菜子坝,双龙处的叶绿素浓度最低;只有1月在大昌取样点处无机磷和叶绿素a的浓度显著正相关,相关系数为0.87,底泥中的营养盐不是影响底泥藻细胞分布的主要影响因素.     

人类活动净氮输入时空变化特征及其影响因素——以香溪河流域为例

为了阐明人类活动对三峡库区第一大支流香溪河流域氮输入的影响程度,基于人类活动净氮输入（NANI）模型估算了2001~2015年间香溪河流域乡镇水平的人类活动净氮输入,分析了氮输入的主要来源及其动态变化.结果表明：时间尺度上,香溪河流域人类活动净氮输入（NANI）因氮素施用的变化而呈现先上升后下降最后上升的趋势,但2015年相对2001年的NANI下降了143kg N/（km²·a）;空间尺度上,香溪河流域NANI整体呈现北低南高的分布格局,其中NANI输入强度差异较大的区域主要有昭君镇、峡口镇和黄粮镇.从人类活动净氮输入的组成上来看,氮肥施用仍然是最主要的来源（40.06%）,其次为大气氮沉降（29.98%）和食品/饲料净氮输入（27.75%）,作物固氮仅占净氮输入总量的2.21%.香溪河流域的NANI与人口密度和耕地面积比例极显著相关（P<0.001）;而NANI与河流氮输出的相关性不显著,香溪河流域河流氮输出占NANI的比例仅为24.28%.因此,可以通过减少氮素施用降低流域尺度氮素净输入量,但该流域NANI与河流氮输出无直接的响应关系.