基于"量-质-域-流"四维指标体系的水资源荷载状况评价——以黑河流域三地市为例

随着社会经济用水不断增加，水资源供需矛盾加剧，水资源系统出现荷载不均衡现象，制约了区域发展，危及生态环境良性循环。本文从水资源系统的负荷需求和承载能力出发，基于“量、质、域、流”四个维度构建水资源荷载均衡评价指标体系，采用指标规范化的正态云模型，评价2015年黑河流域张掖市、酒泉市、阿拉善盟水资源配置方案的荷载均衡状况，并依据负荷与承载能力评分二维坐标，分出低负荷-高承载能力、低负荷-低承载能力、高负荷-高承载能力和高负荷-低承载能力四个分区。评价结果表明：2015年三地水资源荷载状况均为Ⅳ级，张掖市综合评分为3.697，酒泉市为3.657，阿拉善盟为3.901，三地均处于高负荷-低承载能力区域；三地在水质维度上处于低负荷-高承载能力区间，水质维度评分均处于Ⅱ级，酒泉市水质评分优于张掖市，张掖市水质评分优于阿拉善盟；在水量、水域、水流维度上均处于高负荷-低承载能力区间，水量方面三地处于Ⅳ级，张掖市优于酒泉市，酒泉市优于阿拉善盟；水域方面张掖和阿拉善盟评分均处于Ⅴ级，酒泉评分处于Ⅳ级；水流方面三地均处于Ⅴ级。需要采取调控手段在水量、水域、水流方面上进行“增强承载”和“卸荷”。     

内蒙古高原紫花苜蓿土壤氮素丰缺指标和推荐施氮量

为了给内蒙古高原紫花苜蓿（Medicago sativa L.）测土施氮奠定科学基础，本研究采用“零散实验数据整合法”和“养分平衡-地力差减法”新应用公式，开展了该自然区域紫花苜蓿土壤氮素丰缺指标和推荐施氮量研究。结果表明：内蒙古高原生长第1年紫花苜蓿土壤碱解氮第1~6级丰缺指标为≥48，20~48，8~20，4~8，2~4和<2 mg·kg^-1，土壤全氮第1~5级丰缺指标为≥1.4，0.8~1.4，0.4~0.8，0.2~0.4和<0.2 g·kg^-1，土壤有机质第1~6级丰缺指标为≥17，10~17，6~10，3~6，2~3和<2 g·kg^-1。当紫花苜蓿目标产量9~18 t·hm^-2、氮肥利用率40%时，内蒙古高原紫花苜蓿第1~6级土壤推荐施氮量分别为0，68~135，135~270，203~405，270~540和338~675 kg·hm^-2。     

青海省祁连圆柏天然林单木生物量模型构建

利用祁连圆柏整株生物量与生长指标数据，为估算祁连圆柏林的生物量估算提供参考。通过野外调查，共获取了63株祁连圆柏天然林样木生物量与生长指标实测数据。用其中50株样木数据进行回归模拟，用其余的13株样木数据对模型可靠性进行检验，构建器官生物量与生长指标间的回归模型。结果表明，祁连圆柏单木水平下，树干生物量模型的R²_adj为0.96，均方根、模型有效性和残差系数分别为0.50、0.85和0.05；枝条生物量模型的R²_adj为0.897，均方根、模型有效性和残差系数分别为0.69、0.80和-0.66；叶生物量模型的R²_adj为0.61，均方根、模型有效性和残差系数分别为0.54、0.86和0.15；根生物量模型的R²_adj为0.93，均方根、模型有效性和残差系数分别为0.12、0.997 和-0.01。在调查数据范围内构建的模型较好地反映了祁连圆柏生物量与生长指标间的关系，形式简单、使用方便；与实测值相比，树干与叶生物量模拟值偏小，枝和根偏大。     

马尾松叶表微生物多样性

为发掘对林木生长发育有利的优良微生物资源,并筛选适合叶表微生物的收集方法,以马尾松针叶为试验材料,分别用悬摇法和超声波法收集马尾松叶表微生物,用扩增子高通量测序技术、MUSCLE和Qiime软件研究马尾松叶表微生物的多样性。结果表明:扫描电镜观测结果显示,马尾松针叶表面定殖有大量微生物,包括真菌(菌丝及孢子)和细菌。扩增子高通量测序结果表明,马尾松叶表微生物物种丰富,包含细菌运算分类单位(OTUs)490个,真菌OTUs 1273个。马尾松叶表细菌以未分类的蓝细菌属(unidentified_Cyanobacteria)(36.53%)、未分类的拜叶林克氏菌属(unidentified_Beijerinckia)(28.60%)、鞘氨醇单胞菌属(Sphingomonas)(2.35%)为优势属;叶表真菌以枝孢属(Cladosporium)(2.45%)、拟盘多毛孢属(Pestalotiopsis)(0.92%)、无头孢菌属(Capnobotryella)(0.91%)为优势属。针对叶表细菌多样性的研究表明,悬摇法和超声波法均有较高的物种检出度;在叶表真菌多样性的研究中超声波法优于悬摇法,但超声波法样品间数据变异性较大,测定结果不稳定。     

Determination of critical nitrogen dilution curve based on leaf area index for winter wheat in the Guanzhong Plain,Northwest China

Excessive use of nitrogen(N) fertilizers in agricultural systems increases the cost of production and risk of environmental pollution. Therefore, determination of optimum N requirements for plant growth is necessary. Previous studies mostly established critical N dilution curves based on aboveground dry matter(DM) or leaf dry matter(LDM) and stem dry matter(SDM), to diagnose the N nutrition status of the whole plant. As these methods are time consuming, we investigated the more rapidly determined leaf area index(LAI) method to establish the critical nitrogen(N_c) dilution curve, and the curve was used to diagnose plant N status for winter wheat in Guanzhong Plain in Northwest China. Field experiments were conducted using four N fertilization levels(0, 105, 210 and 315 kg ha-1) applied to six wheat cultivars in the 2013–2014 and 2014–2015 growing seasons. LAI, DM, plant N concentration(PNC) and grain yield were determined. Data points from four cultivars were used for establishing the N_c curve and data points from the remaining two cultivars were used for validating the curve. The N_c dilution curve was validated for N-limiting and non-N-limiting growth conditions and there was good agreement between estimated and observed values. The N nutrition index(NNI) ranged from 0.41 to 1.25 and the accumulated plant N deficit(N_(and)) ranged from 60.38 to –17.92 kg ha~(-1) during the growing season. The relative grain yield was significantly affected by NNI and was adequately described with a parabolic function. The N_c curve based on LAI can be adopted as an alternative and more rapid approach to diagnose plant N status to support N fertilization decisions during the vegetative growth of winter wheat in Guanzhong Plain in Northwest China.     

Beaver dams,streamflow complexity,and the distribution of a rare minnow,Lepidomeda copei

Freshwater fishes are threatened globally, and often too little is known about threatened species to effectively guide their conservation. Habitat complexity is linked to fish species diversity and persistence, and degraded streams often lack habitat complexity. Beaver Castor spp., in turn, have been used to restore streams and increase habitat complexity. The northern leatherside chub Lepidomeda copei is a rare, small‐bodied, drift‐feeding minnow that has anecdotally been observed to use complex habitats associated with beaver dams in the western United States. To investigate this anecdote, we conducted fish and habitat surveys, the latter focusing on quantifying habitat complexity, in a sub‐basin of the Upper Snake River Basin in the USA. Complementary generalised linear model and path analyses revealed that northern leatherside chub occurred more often at sites with complex streamflows, and streamflows were more complex when beaver dams were present and pools were deeper. Northern leatherside chubs were also more likely to occur when temperatures were warmer, aquatic macrophytes were abundant and stream channels were narrow and deep. The linkage between chubs, complex streamflows and beaver dams needs to be evaluated more broadly to completely understand its role in the rangewide status of the species. However, it does suggests that increased use of beaver reintroductions and dam analogues for stream restoration could be a boon for the northern leatherside chub, but such efforts should be monitored to determine their effectiveness to help adapt beaver‐based restoration approaches to best benefit the species.     

不同基因型燕麦苗期耐盐碱性分析 及其鉴定指标的筛选

为探讨不同基因型燕麦苗期的耐盐碱性，筛选适宜松嫩平原种植的燕麦品种，本研究采用Hoagland营养液水培法，以250 mmol·L^-1高浓度NaHCO₃胁迫模拟松嫩平原盐碱环境，对49份来自国内外不同地区的主栽燕麦品种进行研究。试验测定了250 mmol·L^-1 NaHCO₃胁迫下燕麦的株高（X₁）、根长（X₂）、地上部鲜重（X₃）、地下部鲜重（X₄）、地上部干重（X₅）、地下部干重（X₆）、地上部含水量（X₇）、地下部含水量（X₈）、根冠比（X₉）9个指标，以各单项指标的耐盐碱系数(SATC) 作为衡量耐盐碱性的依据，利用多元分析方法对不同燕麦品种耐盐碱能力进行了综合评价。结果表明：通过对各指标的耐盐碱系数进行主成分分析，得到X₄、X₇、X₈ 3个综合指标，涵盖了全部数据86.155%的信息量；通过隶属函数分析和聚类分析将49份燕麦品种分为3类，其中草莜1号、张燕7、T7等3个品种为耐盐碱品种，HLJ 1、白燕2号等41个品种为中度耐盐碱品种，三分三、坝莜13号等5个品种为盐碱敏感品种。     

武夷岩茶种质资源遗传多样性与亲缘关系的SRAP分析

本研究利用SRAP-PCR反应体系,从88对SRAP引物组合中筛选出43对引物组合,对武夷岩茶主要的30份种质资源进行SRAP分析,共扩增出385条带,其中具有多态性的有236条带,占总数的61.30%,表明30份武夷岩茶种质呈现一定的遗传多样性。武夷岩茶种质资源间遗传距离变幅在0.31~0.98之间,平均为0.63,基于SRAP标记利用系统聚类法把武夷岩茶分为三大类,为武夷岩茶遗传研究、品种选育与资源保护提供参考。     

Impact of land‐use intensity on the relationships between vegetation indices,photosynthesis and biomass of intensively and extensively managed grassland fens

Vegetation indices are widely used as model inputs and for non‐destructive estimation of biomass and photosynthesis, but there have been few validation studies of the underlying relationships. To test their applicability on temperate fens and the impact of management intensity, we investigated the relationships between normalized difference vegetation index (NDVI), leaf area index (LAI), brown and green above‐ground biomass and photosynthesis potential (PP). Only the linear relationship between NDVI and PP was management independent (R² = 0·53). LAI to PP was described by a site‐specific and negative logarithmic function (R² = 0·07–0·68). The hyperbolic relationship of LAI versus NDVI showed a high residual standard error (s.e.) of 1·71–1·84 and differed between extensive and intensive meadows. Biomass and LAI correlated poorly (R² = 0·30), with high species‐specific variability. Intensive meadows had a higher ratio of LAI to biomass than extensive grasslands. The fraction of green to total biomass versus NDVI showed considerable noise (s.e. = 0·13). These relationships were relatively weak compared with results from other ecosystems. A likely explanation could be the high amount of standing litter, which was unevenly distributed within the vegetation canopy depending on the season and on the timing of cutting events. Our results show there is high uncertainty in the application of the relationships on temperate fen meadows. For reliable estimations, management intensity needs to be taken into account and several direct measurements throughout the year are required for site‐specific correction of the relationships, especially under extensive management. Using NDVI instead of LAI could reduce uncertainty in photosynthesis models.     

基于P-S-R框架模型试点研究高寒地区生态承载力——以甘肃省迭部县为例

全面客观评价生态资源承载能力,进而为区域可持续发展提供理论依据。以甘肃省迭部县为例,首先,采用压力-状态-响应(P-S-R)模型构建生态承载力评估指标体系,运用层次分析法(Analytic Hierarchy Process,AHP)确定各指标权重,评估生态环境承载力现状;其次,在生态功能区层面对迭部县水源涵养功能及生物多样性功能进行评价;最后,对生态承载力状况进行成因解析。研究结果表明：（1）迭部县整体生态承载力得分为0.239,处于“较强”承载力状态,构成整体生态承载力的生态弹性力、资源和环境承载力和人类社会影响力得分分别为0.222、0.062和0.063。（2）2016年,迭部县单位面积水源涵养量为111.76 mm,水源涵养功能处于“高”状态,其中,水源涵养功能较高地区主要集中在以草地和针阔混交林为主的区域。（3）自然栖息地面积占迭部县总面积的83.67%,其自然栖息质量指数(Natural Habitant Quality Index,NHQI)处于“高”状态。（4）从自然和经济2个因素进行分析,发现迭部县生态环境条件较好,但林草地面积已呈现出逐渐减少状态,因此需要通过合理科学的开发引导,发展文化旅游事业,推动迭部县的可持续发展。