Foliage profiles of individual trees determine competition,self-thinning,biomass and NPP of a Cryptomeria japonica forest stand: A simulation study based on a stand-scale process-based forest model

A simulation study was carried out to investigate simultaneously the effects of eco-physiological parameters on competitive asymmetry, self-thinning, stand biomass and NPP in a temperate forest using an atmosphere–vegetation dynamics interactive model (MINoSGI). In this study, we selected three eco-physiological relevant parameters as foliage profiles (i.e. vertical distribution of leaf area density) of individual trees (distribution pattern is described by the parameter η), biomass allocation pattern in individual tree growth (χ) and the maximum carboxylation velocity (V_max). The position of the maximal leaf area density shifts upward in the canopy with increasing η. For scenarios with η < 4 (foliage concentrated in the lowest canopy layer) or η > 12 (foliage concentrated in the uppermost canopy layer), a low degree of competitive asymmetry was produced. These scenarios resulted in the survival of subordinate trees due to a brighter lower canopy environment when η < 4 or the generation of spatially separated foliage profiles between dominant and subordinate trees when η > 12. In contrast, competition between trees was most asymmetric when 4 ≤ η ≤ 12 (vertically widespread foliage profile in the canopy), especially when η = 8. In such cases, vertically widespread foliage of dominant trees lowered the opportunity of light acquisition for subordinate trees and reduced their carbon gain. The resulting reduction in carbon gain of subordinate trees yielded a higher degree of competitive asymmetry and ultimately higher mortality of subordinate trees. It was also shown that 4 ≤ η ≤ 12 generated higher self-thinning speed, smaller accumulated NPP, litter-fall and potential stand biomass as compared with the scenarios with η < 4 or η > 12. In contrast, our simulation revealed small effects of χ or V_max on the above-mentioned variables as compared with those of η. In particular, it is notable that greater V_max would not produce greater potential stand biomass and accumulated NPP although it has been thought that physiological parameters relevant to photosynthesis such as V_max influence dynamic changes in forest stand biomass and NPP (e.g. the greater the V_max, the greater the NPP). Overall, it is suggested that foliage profiles rather than biomass allocation or maximum carboxylation velocity greatly govern forest dynamics, stand biomass, NPP and litter-fall.     

A phenomenological model without dispersal kernel to model species migration

Phenomenological approaches to model species migration are usually based on kernel-based methods. These methods require a good knowledge of the dispersal agent behaviour for a given species. They also calculate the location of individuals independently to each other (except the mother plant) and then suppress some of them according to additional interactions such as competition, facilitation and recruitment. In this paper, we propose to use a new phenomenological method, the Gibbs method, to model tree species migration at large scale. The Gibbs method handles the location of adult individuals in terms of pairwise interactions described by a potential function. This function summarizes the set of known and unknown factors determining the spatial distribution of the individuals (or cohorts). The principle of the Gibbs method is to minimize the sum of all pairwise interactions, also called the cost function, in order to optimize the spatial point pattern according to the chosen potential function.     

天津滨海新区湿地环境演化与景观格局动态

从历史演化和景观格局动态变化两个方面对天津滨海新区湿地生态系统的演变进行了研究。历史上天津地区为海洋,自滨海新区成陆以来,经历了多次的海浸和洪水淹没,海浸期间发生陆地湿地化,海退和洪水退却时发生水体湿地化。本文总结了自地质时期以来的历史演化模型。同时在GIS和RS技术支持下,运用FRAG-STATS软件,研究了1979-2008年滨海新区湿地景观格局动态变化特征。结果表明,随着滨海新区的发展和土地利用强度的增大,研究区景观斑块数量增加、平均斑块面积减少的趋势比较明显,景观呈现破碎化的趋势;总体上,近30年中,滨海新区湿地总面积变化不大,并没有大面积持续减少。景观破碎程度从1979年开始持续上升,中间略有波动,但总体上升较快。     

基于支持向量机的采空区稳定性分级

针对采空区稳定性分级的影响因素众多且关系复杂的特点,提出采用支持向量机理论对采空区稳定性进行分级。根据分级评价指标选取原则,选取岩体结构、地质构造、岩石的质量指标、地下可见水、地下水体、周边开采的影响、相邻空区的情况、工程布置、跨度、面积、高度、矿柱的尺寸及布置、埋藏深度和采空区的规格14个影响因子,建立了采空区稳定性评价指标体系,引入支持向量机理论,选择有向无环图方式构造多类分类器,得到采空区稳定性分级的支持向量机模型。将该模型用于山东黄金矿业西山矿区的25个采空区进行分级,并与未确知测度方法的分级情况     

基于IKONOS影像的城市住宅区中水回用空间分布估算

中水回用是解决城市水资源短缺和水环境污染问题的有效途径。开展分散式中水可行性研究,需要考虑中水原水与回用需求的数量、空间分布及平衡关系。论文以南京市住宅区为例,探索了基于IKONOS高分辨率遥感影像分类,估算中水回用空间分布的方法。通过引入单位面积用水定额,将遥感和GIS 分析得到的用地信息与中水原水产量和回用需求关联起来,计算了研究区域中27 个地块的中水原水产量和回用需求量,并分析了两者在空间上的水量平衡关系。结果表明,研究区域存在较大的中水原水供给潜力3.52 L/（m²·d）和较大的利用需求5.37 L/（m²·d）。住宅小区的单位面积原水产量与其建筑容积率成正比;以中高层住宅区为主的地区,中水原水产量能够基本满足本地区的中水回用需求。因此,在这些地区建立分散式污水处理系统,可减少废污水排放,节约自来水取用量,提高水资源利用率。     

应用灰色模糊马尔科夫链预测海河水质变化趋势

灰色GM(1,1)模型在水质预测中得到了较为广泛的运用,但其存在灰色偏差与抗干扰能力弱的局限性,针对这一问题,将马尔科夫链理论与模糊集合理论引入灰色GM(1,1)预测模型,并应用该模型对海河三岔口断面的DO、CODMn和NH3-N 3项指标2012~2016年的浓度变化趋势进行预测.结果表明,2004~2016年,DO及NH3-N浓度大致呈上升趋势,预计2016年分别可达9.15,1.47mg/L;CODMn浓度呈下降趋势,预计2016年可达3.91mg/L.以2012年的数据做验证,灰色模糊马尔科夫链模型的预测精度最高,可作为科学的水质预测方法.     

宁波市回龙河表层沉积物重金属的形态分析及风险评价

为了解回龙河表层沉积物中重金属的污染状况,采集了表层沉积物样品,测定了重金属Zn、Cu、Pb、Cr、Cd和Ni的总量及其化学形态,并采用潜在生态风险指数法对重金属进行了生态风险评价。结果显示,回龙河表层沉积物中Zn、Cu、Pb、Cr、Cd和Ni均有一定程度的累积,总量分别为286.4～1277.9mg/kg、21.71～146.0mg/kg、10.33～44.20mg/kg、25.13～90.40mg/kg、0.07172～0.3901mg/kg、13.27～157.2mg/kg,其中Cu、Cr、Pb与Ni 4种重金属具有一定的同源特性;形态分析表明,Cu的形态分布以有机结合态为主,最容易迁移释放,Zn、Cr和Ni除残渣态外,铁锰氧化结合态和有机结合态占一定比例,具有潜在风险;潜在生态风险指数法分析表明,沉积物中重金属元素的单一潜在生态风险指数顺序为Cd〉Cu〉Ni〉Zn〉Pb〉Cr,潜在生态危害指数RI均小于150,总体上回龙河处于轻微的生态风险等级。     

淮河源12种园林地被植物竞争格局与过程

淮河源区处于北亚热带向暖温带过渡地带,地被植物种类繁多,选取该地区有代表性的12种典型地被植物,进行应用表现情况调查和竞争力量化评价,选用园林地被植物权重(以分布面积计)、园林地被植物养护的投入和园林地被抗杂草入侵能力三个量化指标,计算得出竞争力指数。研究表明淮河源区园林地被植物栽植后5—10年,其竞争力的强弱可充分表现出来,其中木本植物整体竞争力大于草本,而藤本植物竞争力最强。但也有少量草本如红花酢浆草,竞争力超过部分木本植物,值得大量推广运用。根据淮河源区园林地被植物群落竞争格局与过程,在进行园林工程实践中充分考虑园林地被上杂草和地被植物自身竞争力状况,降低园林工程中化学药品的使用和能源消耗,以保护生物多样性。     

居民点地名起源分类法——以茂名市各个镇为例

地名是人们日常提及最多、使用最多的词语之一,对我们的日常生活、社会活动和经济活动都重要的影响.每个地名都有它产生的过程,认识地名的起源,对研究一个地区的文化有重要的意义.地名起源是地名研究的重要部分,以往的地名起源分类多以概括性为主,缺少系统的分类方法.该研究从地理要素的角度,将居民点地名起源其分化为自然环境、人文和经济社会三个一级类,二十七个二级分类,自然环境分类又划分了三级和四级分类.根据这一分类方法,以茂名市各个镇的地名为例,将居民点地名分类法运用到区域地名的研究中,并阐述其分类过程中的一些基本原则.