Incorporating putatively neutral and adaptive genomic data into marine conservation planning

The availability of genomic data for an increasing number of species makes it possible to incorporate evolutionary processes into conservation plans. Recent studies show how genetic data can inform spatial conservation prioritization (SCP), but they focus on metrics of diversity and distinctness derived primarily from neutral genetic data sets. Identifying adaptive genetic markers can provide important information regarding the capacity for populations to adapt to environmental change. Yet, the effect of including metrics based on adaptive genomic data into SCP in comparison to more widely used neutral genetic metrics has not been explored. We used existing genomic data on a commercially exploited species, the giant California sea cucumber (Parastichopus californicus), to perform SCP for the coastal region of British Columbia (BC), Canada. Using a RAD-seq data set for 717 P. californicus individuals across 24 sampling locations, we identified putatively adaptive (i.e., candidate) single nucleotide polymorphisms (SNPs) based on genotype–environment associations with seafloor temperature. We calculated various metrics for both neutral and candidate SNPs and compared SCP outcomes with independent metrics and combinations of metrics. Priority areas varied depending on whether neutral or candidate SNPs were used and on the specific metric used. For example, targeting sites with a high frequency of warm-temperature-associated alleles to support persistence under future warming prioritized areas in the southern coastal region. In contrast, targeting sites with high expected heterozygosity at candidate loci to support persistence under future environmental uncertainty prioritized areas in the north. When combining metrics, all scenarios generated intermediate solutions, protecting sites that span latitudinal and thermal gradients. Our results demonstrate that distinguishing between neutral and adaptive markers can affect conservation solutions and emphasize the importance of defining objectives when choosing among various genomic metrics for SCP.     

元宝山中山土壤形成特点及系统分类

通过对元宝山的实地考察,选取具有代表性的6个山地土壤剖面进行描述及分析,研究了元宝山土壤的形成条件和特点,并按照《中国土壤系统分类:理论·方法·实践》一书要求,根据诊断层及诊断特性,检索了土壤系统分类名称。得出元宝山土壤垂直分布按海拔由低到高依次为:粘化富铝湿润富铁土-强度铝质湿润淋溶土-黄色铝质湿润淋溶土-普通铝质常湿雏形土-石质铝质常湿雏形土。     

南岳衡山风景名胜区景观资源的调查与评价

景观资源是旅游资源的重要组成因素,本文以自然综合体的南岳衡山为考察对象,对其景观资源进行较详尽的调查,并进行定性和定量的评价,为确定南岳衡山风景名胜区性质、规划提供基础资料.     

论生物多样性的保护问题

当前，任何地区的生物多样性都是自然和社会因素长期综合作用所造成。生物多样性最丰富的地区不一定全部由顶极植被所覆盖，而常常是一些包括所有演替类型的地方。本文通过讨论自然环境的变化和人类生产活动对不同区域景观的影响，探讨有关生物多样性的保护问题。     

生态工程在林业上的应用——低山丘陵立体林业工程实验研究

太行山是我国山地植被破坏历史最长、生态环境严重恶化的山地生态系统,“七五”期间国家将绿化太行山列入重点攻关项目。从1986年开始,作者根据生态工程原理提出:环境辨识工程、种群引进选择工程、种群匹配工程、水土富集工程、时间节律工程和食物链工程为主的立体林业工程新思想,并在湘山小流域建起实施模式。经四年的工作,已取得较大进展。     

Power-law behaviour and parametric models for the size-distribution of forest fires

This paper examines the distribution of areas burned in forest fires. Empirical size distributions, derived from extensive fire records, for six regions in North America are presented. While they show some commonalities, it appears that a simple power-law distribution of sizes, as has been suggested by some authors, is too simple to describe the distributions over their full range. A stochastic model for the spread and extinguishment of fires is used to examine conditions for power-law behaviour and deviations from it. The concept of the extinguishment growth rate ratio (EGRR) is developed. A null model with constant EGRR leads to a power-law distribution, but this does not appear to hold empirically for the data sets examined. Some alternative parametric forms for the size distribution are presented, with a four-parameter ‘competing hazards’ model providing the overall best fit.     

河南省大气污染的气候分类

分析确定了影响大气污染的主要气候因子。根据省内各气象站的常规测资料，采用模糊聚类和纳污指数的方法将该省分成５个气候类型区。结果表明，纳污能力以中部地区为最强，占全省面积３／５的南、东、北邻近省界地区较强，豫西山区最弱。     

世界保护区事业发展的展望

当前,世界130个国家已建立了6500多个保护区,约占地球土地面积4.89％。但是,如何管理好它们,还存在许多问题。本文重点介绍这些问题,并提出一些解决措施,以促进保护区事业的发展。     

用热分析法研究鼎湖山土壤的粘粒矿物

广东鼎湖山自然保护区的土壤主要为山地黄壤和赤红壤。本文用差热-热重-微商热重(DTA-TG-DTG)联合热分析法,对两种土壤的粘粒矿物进行了初步研究,确认两种土壤的粘粒矿物组成主要为伊利石、高岭石、三水铝石、蛭石、针铁矿等。伊利石、三水铝石、蛭石的含量山地黄壤多于赤红壤,而高岭石则相反。两种土壤的风化程度不高,土壤矿物风化主要处于幼年阶段,山地黄壤尤其明显。另外,对不同林型下的赤红壤也进行了对比研究,其粘粒矿物组成和数量差异不大。     

海岸带生态恢复技术研究现状及存在问题

气候及其潜在的全球性变化所带来的影响，使海岸带受到严重威胁，人口的增加以及人类活动强度的增大给海岸带环境带来的负面影响越来越严重，对目前国内外海岸带生态恢复技术的现状作了较系统地介绍，并阐述了当前海岸带生态恢复中存在的主要问题。