Assessing the benthic quality status of the Bohai Bay (China) with proposed modifications of M-AMBI

Multivariate AZTI's Marine Biotic Index (M-AMBI) was designed to indicate the ecological status of European coastal areas. Based upon samples collected from 2009 to 2012 in the Bohai Bay, we have tested the response of variations of M-AMBI, using biomass (M-BAMBI) in the calculations, with different transformations of the raw data. The results showed that the ecological quality of most areas in the study indicated by M-AMBI was from moderate to bad status with the worse status in the coastal areas, especially around the estuaries, harbors and outfalls, and better status in the offshore areas except the area close to oil platforms or disposal sites. Despite large variations in nature of the input data, all variations of M-AMBI gave similar spatial and temporal distribution patterns of the ecological status within the bay, and showed high correlation between them. The agreement of new ecological status obtained from all M-AMBI variations, which were calculated according to linear regression, was almost perfect. The benthic quality, assessed using different input data, could be related to human pressures in the bay, such as water discharges, land reclamation, dredged sediment and drilling cuts disposal sites. It seems that M-BAMBI were more effective than M-NABMI (M-AMBI calculated using abundance data) in indicating human pressures of the Bay. Finally, indices calculated with more severe transformations, such as presence/absence data, could not indicate the higher density of human pressures in the coastal areas of the north part of our study area, but those calculated using mild transformation (i.e., square root) did.     

南太湖入湖口蓝藻生物量与CODMn和DO的相关性研究

采用水质监测方法对2008—2010年南太湖水域三个入湖口(小梅港、新塘港、大钱港)水体中蓝藻生物量、CODMn和DO的时空变化特征进行了监测和调查,并通过SPSS10.0软件对蓝藻生物量与CODMn和DO的相关性进行了分析。结果表明:(1)3年内南太湖入湖口蓝藻颗粒数在1.0×106个/L以上范围的频率每年超过50%,最高在3.0×107个/L左右;(2)南太湖入湖口CODMn指标大部分处于较高的污染水平,最高有6.5mg/L,最低约3.0mg/L;(3)蓝藻生物量与CODMn的相关性系数r介于0.3—0.7之间,呈现中低度正相关;(4)3年内蓝藻生物量与DO的相关性系数r介于0.30—0.50,呈现低度正相关,DO浓度有70%以上的频率大于6.0mg/L。结果表明,3个入湖口溶解氧指标能达Ⅱ—Ⅲ类地表水水质标准,但有机物污染已经不容忽视,并且与蓝藻暴发呈一定的相关性。     

长江口及邻近陆架海区夏季小型底栖动物群落结构研究

根据2006年7月13日至8月30日在长江口及邻近陆架海区采集的小型底栖动物样品,对小型底栖动物类群组成,丰度、生物量的水平分布和垂直分布以及调查海区的环境因子进行了研究。结果表明：研究海域小型底栖动物有线虫、桡足类、多毛类、寡毛类、介形类、螨类、双壳类、腹毛类、动吻类、端足类和等足类等11个类群及无节幼体等。平均丰度为453.22±355.34 ind/10 cm2,最优势类群为线虫,占小型底栖动物总丰度的81.37%,次优势类群分别为底栖桡足类和多毛类,分别占小型底栖动物总丰度的10.13%和2.96%。平均生物量为622.65±505.07 μg/10 cm2,生物量占比最高的类群为多毛类,占总生物量的30.21%,其次分别为线虫和寡毛类,分别占小型底栖动物总生物量的23.69%和19.44%。水平分布上,从河口冲淡水区到东海陆架深水区,小型底栖生物丰度呈现由低到高的变化趋势,杭州湾小型底栖动物丰度为240.96±223.47 ind/10 cm2,长江口近岸区为442.91±304.16 ind/10 cm2,东海陆架深水区为865.42±553.88 ind/10 cm2。垂直分布上,小型底栖动物主要分布在0~2 cm层,丰度为290.28±250.03 ind/10 cm2;其次是2~5 cm层,丰度为132.81±128.74 ind/10 cm2;5~10 cm层分布最少,丰度为30.14±31.91 ind/10 cm2。其中线虫、多毛类、寡毛类与桡足类等主要类群的垂直分布与总分布趋势相同。与环境因子进行相关分析表明,调查海区小型底栖动物的丰度主要与水深、盐度和溶解氧显著相关,对小型底栖动物分布影响最大的环境因子组合为溶解氧和盐度。     

基于无人机影像的无瓣海桑单木提取与地上生物量估算

无瓣海桑(Sonneratia apetala)是中国红树林恢复种植最早引进的优质红树树种,其生产力在红树林群落中处于较高水平,具有显著的高生物量和能量积累。然而,由于红树林群落冠层密集、结构复杂,精确描绘无瓣海桑的单木树冠存在极大挑战性。传统的卫星遥感侧重于区域或更大尺度监测需求,而新兴的低空无人机遥感在更精细尺度的红树林生态监测中具有显著优势。以广东省珠海市淇澳岛红树林自然保护区为研究区,利用消费级无人机影像生成的冠层高度模型(Canopy Height Model, CHM)和种子区域生长(Seed Region Growing, SRG)算法进行无瓣海桑单木树冠提取,并建立基于地面调查数据获取的树高和胸径两者之间的回归关系,以优化无瓣海桑地上生物量异速生长方程,进而实现研究区单木尺度的无瓣海桑地上生物量估算。结果表明：基于无人机影像可以有效提取无瓣海桑单木树冠,其提取精度达到67%;验证了树高和胸径之间较高的相关性,提出了基于树高的无瓣海桑地上生物量异速生长方程;研究区无瓣海桑平均地上生物量的范围为2.99～247.24 t/hm²,平均值为92.14 t...     

Root structure,distribution and biomass in five multipurpose tree species of Western Himalayas

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The tree root distribution pattern and biomass of seventeen year old trees of Grewia optiva, Morus alba, Celtis australis, Bauhinia variegata and Robinia pseudoacacia were studied by excavation method. B. variegata roots penetrated to a maximum depth of 4.78 m, whereas, M. alba roots were found down to 1.48 m depth. Lateral spread was minimum in B. variegata （1.10 m）and maximum inR. pseudoacacia （7.33 m）. Maximum root biomass of 6.30 kg was found in R. pseudoacacia and minimum （2.43 kg） was found in M. alba. For four species viz.,G. optiva, M. alba, C. australis andR. pseudoacacia, 68%-87% root biomass occurred within top 0-30 cm soil depth, but forB. variegata this was only45%. The soil binding factor was maximum in G. optiva and minimum in B. variegata. Soil physico-chemical properties also showed wide variation. The study suggests thatB. variegata with a deep root system is the most suitable species for plantation under agroforestry systems. R. pseudoacacia and G. optiva with deep root systems, more lateral spread and high soil binding factor are suitable for plantation on degraded lands for soil conservation.     

Land use effects on soil organic carbon,microbial biomass and microbial activity in Changbai Mountains of Northeast China

Land use changes are known to alter soil organic carbon （SOC） and microbial properties, however, information about how conversion of natural forest to agricultural land use as well as plantations affects SOC and microbial properties in the Changbai Moun- tains of Northeast China is meager. Soil carbon content, microbial biomass carbon （MBC）, basal respiration and soil carbon mineraliza- tion were studied in five selected types of land use： natural old-growth broad-leaved Korean pine mixed forest （NF）; spruce plantation （SP） established following clear-cutting of NF; cropland （CL）; ginseng farmland （GF） previously under NF; and a five-year Mongolian oak young forest （YF） reforested on an abandoned GF, in the Changbai Mountains of Northeast China in 2011. Results showed that SOC content was significantly lower in SP, CL, GF, and YF than in NF. MBC ranged from 304.4 mg/kg in CL to 1350.3 mg/kg in NF, which was significantly higher in the soil of NF than any soil of the other four land use types. The SOC and MBC contents were higher in SP soil than in CL, GF, and YF soils, yielding a significant difference between SP and CL. The value of basal respiration was also higher in NF than in SP, CL, GF, and YF. Simultaneously, higher values of the metabolic quotient were detected in CL, GF, and YF soils, indicat- ing low substrate utilization of the soil microbial community compared with that in NF and SP soil. The values of cumulative mineral- ized carbon and potentially mineralized carbon （Co） in NF were significantly higher than those in CL and GF, while no significant dif- ference was observed between NF and SP. In addition, YF had higher values of Co and C mineralization rate compared with GF. The results indicate that conversion from NF into agricultural land （CL and GF） uses and plantation may lead to a reduction in soil nutrients （SOC and MBC） and substrate utilization efficiency of the microbial community. By contrast, soils below SP were more conducive to the preservation of soil organic matter, which was reflected in the comparison of microbial indicators among CL, GF, and YF land uses. This study can provide data for evaluating soils nutrients under different land use types, and serve as references for the rational land use of natural forest in the study area.     

山东荣成天鹅湖大叶藻形态和生长的季节性变化研究

2012年8月至2013年7月,作者逐月对天鹅湖大叶藻(Zostera marina L.)的形态特征、植株密度、生物量和生产力进行了监测。结果表明,大叶藻周年株高最高值和最低值分别出现在7月和1月;叶鞘高度、叶鞘宽度和叶宽的最高值均出现在7月,叶鞘高度最低值出现在1月,叶鞘宽度和叶宽最低值均出现在2月;大叶藻顶枝、侧枝和花枝的周年密度最大值分别出现在6月、4月和5月,最小值分别出现在1月、8月和7月;单株生物量和地上部分生物量最大值均出现在7月,地下部分出现在10月,而单株生物量和地上部分生物量最小值均出现在1月,地下部分生物量最小值出现在3月;单株地上和地下生产力最大值均出现在6月,最小值则分别出现在1月和2月。分析显示,大叶藻在冬季由于水温较低导致生长缓慢,且植株较小,在春季随水温上升,生长开始加快。水温在夏初达到大叶藻的最适生长水温,大叶藻的生物量和初级生产力达到最高值,而夏末和初秋由于水温过高导致大叶藻个体生物量、密度和初级生产力开始降低。这种季节性变化与水温的季节性变化密切相关。     

短期增温和降水减少对沙质草地土壤微生物量碳氮和酶活性的影响

通过模拟气候变化,探究短期增温和降水减少对沙质草地土壤微生物量碳氮及酶活性的影响,揭示沙质草地土壤微生物量碳氮和酶活性对短期气候变化的响应规律。结果表明：（1）短期增温和降水减少对土壤微生物量碳氮和酶活性均产生显著影响。（2）在自然温度下,与自然降水相比,降水减少40%时土壤微生物量碳（MBC）和微生物氮（MBN）含量最高,增幅分别为87.9%和98.8%;降水减少60%时土壤碱性蛋白酶（S-ALPT）活性最低,降幅达32.8%。（3）在增温条件下,与自然降水相比,降水减少40%时土壤MBC和MBN含量最低,降幅分别为25.67%和48.16%,土壤脲酶（S-UE）活性最高,增幅20.42%。（4）土壤pH与3种土壤酶活性正相关,与土壤微生物量碳氮负相关。土壤微生物量碳氮与土壤纤维素酶（S-CL）活性负相关,与S-UE、S-ALPT活性正相关。     

利用GPS-R遥感技术反演植被生物量

为了验证利用GPS-R遥感技术反演植被生物量的可行性,分析了GPS反射信号反演植被生物量的原理与方法,通过试验利用干涉复合场数据（ICF）计算出信号反射率,利用已有文献拟合出的信号反射率与植被生物量之间的关系求出生物量,并与遥感技术结果进行了对比。试验结果表明：利用GPS-R遥感技术反演植被生物量是可行的,但是精度还需依靠时间反演模型;GNSS-R反演植被生物量对分析调查区域植被生长和碳排放情况具有重要意义。