Implications of Macroalgal Isolation by Distance for Networks of Marine Protected Areas

The global extent of macroalgal forests is declining, greatly affecting marine biodiversity at broad scales through the effects macroalgae have on ecosystem processes, habitat provision, and food web support. Networks of marine protected areas comprise one potential tool that may safeguard gene flow among macroalgal populations in the face of increasing population fragmentation caused by pollution, habitat modification, climate change, algal harvesting, trophic cascades, and other anthropogenic stressors. Optimal design of protected area networks requires knowledge of effective dispersal distances for a range of macroalgae. We conducted a global meta‐analysis based on data in the published literature to determine the generality of relation between genetic differentiation and geographic distance among macroalgal populations. We also examined whether spatial genetic variation differed significantly with respect to higher taxon, life history, and habitat characteristics. We found clear evidence of population isolation by distance across a multitude of macroalgal species. Genetic and geographic distance were positively correlated across 49 studies; a modal distance of 50–100 km maintained F_ST < 0.2. This relation was consistent for all algal divisions, life cycles, habitats, and molecular marker classes investigated. Incorporating knowledge of the spatial scales of gene flow into the design of marine protected area networks will help moderate anthropogenic increases in population isolation and inbreeding and contribute to the resilience of macroalgal forests. Implicaciones del Aislamiento por Distancia de Macroalgas para Redes de Áreas Marinas Protegidas     

Estimating population dynamics without population data

We develop a biologically correct cost system for production systems facing invasive pests that allows the estimation of population dynamics without a priori knowledge of their true values. We apply that model to a data set for olive producers in Crete and derive from it predictions about the underlying population dynamics. Those dynamics are compared to information on population dynamics obtained from pest sampling with extremely favorable results.     

Drivers of Seabird Population Recovery on New Zealand Islands after Predator Eradication

Eradication of introduced mammalian predators from islands has become increasingly common, with over 800 successful projects around the world. Historically, introduced predators extirpated or reduced the size of many seabird populations, changing the dynamics of entire island ecosystems. Although the primary outcome of many eradication projects is the restoration of affected seabird populations, natural population responses are rarely documented and mechanisms are poorly understood. We used a generic model of seabird colony growth to identify key predictor variables relevant to recovery or recolonization. We used generalized linear mixed models to test the importance of these variables in driving seabird population responses after predator eradication on islands around New Zealand. The most influential variable affecting recolonization of seabirds around New Zealand was the distance to a source population, with few cases of recolonization without a source population ≤25 km away. Colony growth was most affected by metapopulation status; there was little colony growth in species with a declining status. These characteristics may facilitate the prioritization of newly predator‐free islands for active management. Although we found some evidence documenting natural recovery, generally this topic was understudied. Our results suggest that in order to guide management strategies, more effort should be allocated to monitoring wildlife response after eradication. Conductores de la Recuperación de Poblaciones de Aves Marinas en Islas de Nueva Zelanda después de la Erradicación de Depredadores     

Geography and Recovery under the U.S. Endangered Species Act

Abstract: The U.S. Endangered Species Act (ESA) defines an endangered species as one “at risk of extinction throughout all or a significant portion of its range.” The prevailing interpretation of this phrase, which focuses exclusively on the overall viability of listed species without regard to their geographic distribution, has led to development of listing and recovery criteria with fundamental conceptual, legal, and practical shortcomings. The ESA's concept of endangerment is broader than the biological concept of extinction risk in that the “esthetic, ecological, educational, historical, recreational, and scientific” values provided by species are not necessarily furthered by a species mere existence, but rather by a species presence across much of its former range. The concept of “significant portion of range” thus implies an additional geographic component to recovery that may enhance viability, but also offers independent benefits that Congress intended the act to achieve. Although the ESA differs from other major endangered‐species protection laws because it acknowledges the distinct contribution of geography to recovery, it resembles the “representation, resiliency, and redundancy” conservation‐planning framework commonly referenced in recovery plans. To address representation, listing and recovery standards should consider not only what proportion of its former range a species inhabits, but the types of habitats a species occupies and the ecological role it plays there. Recovery planning for formerly widely distributed species (e.g., the gray wolf [Canis lupus]) exemplifies how the geographic component implicit in the ESA's definition of endangerment should be considered in determining recovery goals through identification of ecologically significant types or niche variation within the extent of listed species, subspecies, or “distinct population segments.” By linking listing and recovery standards to niche and ecosystem concepts, the concept of ecologically significant type offers a scientific framework that promotes more coherent dialogue concerning the societal decisions surrounding recovery of endangered species.     

水稻不同生育期根际与非根际土壤胞外酶对施氮的响应

与稻田土壤碳氮循环(矿化、转化等)密切相关的酶活性可以反映微生物的生长和代谢过程.为明确水稻不同生育期根际与非根际土壤胞外酶对施氮的响应,采用根际袋法区分水稻根际和非根际土壤,利用96微孔酶标板荧光分析法,测定其碳氮过程关键酶β-1,4-葡萄糖苷酶(BG)和β-1,4-N-乙酰氨基葡萄糖苷酶(NAG)活性,探讨根际效应、施氮和生育期对土壤酶活的影响及其调控机制.结果表明,施氮使拔节期土壤BG酶活性相对于不施氮处理降低了7.4~13.5 nmol·(g·h)~(-1),而使成熟期BG酶活性增大了7.0~31.4 nmol·(g·h)~(-1),同时根际与非根际土壤中BG酶活性也随水稻的生育期而发生相应的变化.与不施氮处理相比,施氮使水稻成熟期非根际土壤NAG酶活性增加了1.1倍,根际土壤降低了0.3倍.施氮和生育期显著影响土壤BG酶活性,而水稻生育期、施氮和根际效应及其交互作用均对NAG酶活性有极显著影响.RDA分析表明土壤微生物生物量碳(MBC)和可溶性有机碳(DOC)含量主要影响水稻根际土壤胞外酶活性;而非根际土壤中酶活性的变化主要受微生物生物量氮(MBN)和铵态氮(NH_4~+-N)的影响.土壤酶活性与多种因素存在复杂关系,需要综合考虑植物生理特征、土壤酶活性和土壤特征,分析N添加对微生物群落组成的影响.     

利用餐厨垃圾湿热处理脱出液制备液态菌肥研究

以餐厨垃圾湿热处理脱出液为发酵培养基,选用圆褐固氮菌(Azotobacter chroococcum)作为实验菌种制作固氮液态菌肥。测定了圆褐固氮菌的主要生理特性,将其接种于餐厨湿热处理脱出液中进行培养,确定最佳发酵时间,并分别测定发酵的最佳初始p H值、接种量、培养温度、摇床转速、装液量、脱出液与水的混合比例。结果表明:圆褐固氮菌在餐厨湿热处理脱出液中最佳发酵时间为36 h,发酵最佳初始p H值、接种量、培养温度、摇床转速、装液量、脱出液与水的混合比例依次为7.5、1%、30℃、150 r/min、50 m L(250 m L锥形瓶)、1∶1。圆褐固氮菌在餐厨垃圾湿热处理脱出液中进行培养后,可达到液态菌肥的活菌数标准。     

哈尔滨市环境空气质量评价与经济增长关系研究

以PM10、SO2和NO2作为空气质量的评价对象,采用空气综合污染指数法研究了哈尔滨市2001年到2015年的环境空气质量变化趋势.以空气综合污染指数作为因变量,哈尔滨市人均GDP作为自变量,来探讨哈尔滨环境空气质量与经济增长之间的关系.得出2001年到2015年期间,哈尔滨环境空气质量呈现先变好又变差再变好的趋势,哈尔滨环境空气质量与经济增长之间呈现近似三次方函数关系,且部分呈现到"U"型曲线关系.     

固定化果胶酶抑制铜绿微囊藻生长研究

为证实固定化果胶酶抑制蓝藻生长的作用,在实验室条件下,以铜绿微囊藻（Microcystis aeruginosa）为受试藻种,用共培养法观察了固定化果胶酶对藻细胞群体的作用、用电镜观察了共培养后藻细胞的损伤状况,测定了对其生理生化特征的影响.结果表明固定化果胶酶与藻共培养液第3 d明显黄化,且黄化程度与固定化果胶酶的用量和培养时间呈正相关系;电镜照片显示固定化果胶酶对藻细胞有损伤作用,轻微损伤的藻细胞出现质壁分离,表面粗糙、凸凹不平,形状不规则,严重损伤的藻细胞表面发生深度皱缩或细胞结构完全解体;随着固定化果胶酶与铜绿微囊藻共培养时间的延长,藻细胞生长量、叶绿素a含量显著降低,表明藻细胞受到胁迫和伤害,藻细胞正常的光合作用受到严重影响.丙二醛（MDA）值显示藻细胞抗氧化防御体系被破坏,细胞内发生严重膜脂过氧化.固定化果胶酶能有效抑制铜绿微囊藻细胞的生长,铜绿微囊藻生长抑制率可高达96%.     

重金属Zn和Cd对翅碱蓬生长及抗氧化酶系统的影响

通过测定翅碱蓬生长和生理指标,研究了不同含量Zn和Cd对翅碱蓬的发芽率、苗高、苗重、体内超氧阴离子自由基(O-2)、过氧化氢(H2O2)的产生及对抗氧化酶(超氧化物歧化酶SOD、过氧化氢酶CAT、过氧化物酶POD)活性的影响,以探讨盐生植物翅碱蓬对重金属胁迫的反应.结果表明,两种重金属均不同程度地加快了超氧阴离子自由基的产生速率;翅碱蓬对Zn胁迫的耐受阈值为100 mg·kg-1,Zn含量低于100 mg·kg-1时,发芽率和苗高、苗重保持良好;含量高于100 mg·kg-1实验组,翅碱蓬生长及体内酶活性机制受到不同程度抑制,SOD 、POD反应迅速,CAT相对缓慢.翅碱蓬对Cd污染抵御能力差,含量高于0.4 mg·kg-l即可造成严重伤害,阻碍翅碱蓬生长,降低抗氧化酶活性.Zn和Cd共同作用(200 mg·kg-1 +0.2 mg·kg-1)时,表现为协同作用,发芽率仅为对照组的50.5％、苗重仅为49.2％,实验50 d后,SOD、CAT均失活,影响极显著.     

Numerical simulation of alga growth and control in Dalian Bay

WAHMO model was used to simulate the distribution of pollutants in Dalian Bay, China as to predict well as the growth and control of alga. The observed and predicted values of main pollutants showed a good trend at all study locations and the different between them can be ignored. Simulation results illustrated that phosphate was one of limited factors to control algal growth at the location near the sewage outfall, meanwhile, away from the sewage outfall, the synergy of ammonium nitrogen and phosphate was the limited factor.