GLM versus CCA spatial modeling of plant species distribution

Despite the variety of statistical methods available for static modeling of plant distribution, few studies directly compare methods on a common data set. In this paper, the predictive power of Generalized Linear Models (GLM) versus Canonical Correspondence Analysis (CCA) models of plant distribution in the Spring Mountains of Nevada, USA, are compared. Results show that GLM models give better predictions than CCA models because a species-specific subset of explanatory variables can be selected in GLM, while in CCA, all species are modeled using the same set of composite environmental variables (axes). Although both techniques can be readily ported to a Geographical Information System (GIS), CCA models are more readily implemented for many species at once. Predictions from both techniques rank the species models in the same order of quality; i.e. a species whose distribution is well modeled by GLM is also well modeled by CCA and vice-versa. In both cases, species for which model predictions have the poorest accuracy are either disturbance or fire related, or species for which too few observations were available to calibrate and evaluate the model. Each technique has its advantages and drawbacks. In general GLM will provide better species specific-models, but CCA will provide a broader overview of multiple species, diversity, and plant communities.     

Feeding habitats of blue sheep (Pseudois nayaur) during winter and spring in Helan Mountains, China

The feeding habitat selection of blue sheep (Pseudois nayaur) was studied by direct observation method in the Helan Mountains, China during winter (from November to December) and spring (from April to June) from 2003 to 2004. We established 25 line transects to collect information on feeding habitats used by blue sheep. Blue sheep in the study area preferred mountain savanna forests, a habitat dominated by Ulmus glaucescens, with medium tree density (<4 individuals / 400 m²), moderate tree height (4–6 m), higher shrub density (> 5 individuals / 100 m²), higher shrub (> 1.3 m), higher food abundance (> 50 g), moderate distance to human disturbance (< 500 m), and mild distance to bare rock (< 2 m). Such habitats characterized by 12 ecological factors were preferred as feeding areas by blue sheep during winter. Similar to habitat selection by the species during winter, blue sheep also showed a preference for mountain savanna with tree dominated by Ulmus glaucescens and medium tree density (< 4 individuals / 400 m²) during spring. Nevertheless, blue sheep preferred medium tree height (< 6 m), moderate tree density (5–10 individuals / 100 m²), medium shrub height (1.3–1.7 m), higher food abundance (> 100 g), moderate altitude (< 2 000 m), moderate distance to water resource (< 500 m), and medium hiding cover (50%–75%) during spring. Selection of the feeding habitats by sheep showed a significant difference in vegetation type, landform feature, dominant tree, tree height, shrub density, distance to the nearest shrub, food abundance, slope direction, slope degree, distance to water resource, and hiding cover between winter and spring. Results of principal components analysis indicated that the first principal component accounted for 24.493% of the total variance among feeding habitat variance during winter, with higher loadings for vegetation type, dominant tree, tree height, distance to the nearest tree, shrub density, shrub height, altitude, distance to water resource, and distance to human disturbance. In spring, the first principal components explained 28.777% of the variance, with higher loadings for vegetation type, distance to the nearest tree, shrub height, distance to the nearest shrub, food abundance, altitude, and distance to human disturbance. Translated from Zoological Research, 2005, 26(6): 580–589 [译自: 动物学研究]     

天山林区雪岭云杉和异果小檗夏季水分来源

天山雪岭云杉针叶林内乔灌木水分利用模式尚不明确,水分利用动态缺乏定量分析。本研究对雪岭云杉和伴生灌木异果小檗茎杆木质部水及各潜在水源的氢氧稳定同位素组成进行测定,运用IsoSource模型定量分析两树种夏季对各潜在水源的相对利用比例。结果表明: 7月,土壤含水量充足时,雪岭云杉和异果小檗主要吸收利用60 cm以上土壤水,相对利用比例分别为73.8%和63.2%。8月,土壤含水量相对较低时,雪岭云杉水分来源保持稳定,对60 cm以上土壤水的相对利用比例为69.5%;异果小檗则转换至利用更深层的水源,对0～20 cm浅层土壤水的相对利用比例降至14.3%,主要吸收利用中层(20～60 cm)和深层(60～100 cm)土壤水,相对利用比例为67.7%。9月,随着0～20 cm浅层土壤含水量升高,两树种恢复对浅层土壤水的吸收利用,相对利用比例达95.0%。综上,雪岭云杉表现出典型的浅根系特征,其吸收利用的水源主要来自浅层土壤水;异果小檗则能够在0～100 cm的土壤各层吸收利用水分,同时随土壤含水量的变化灵活转换其水源,从而应对环境水分变异。     

东北山地水生鞘翅目昆虫多样性的比较研究

调查了东北长白山自然保护区及辽宁省医巫闾山两地静水水体中水生甲虫．结果表明,长白山阔叶红松林生态系统水生甲虫比辽宁医巫闾山农林复合生态系统水生甲虫物种丰富的多．长白山水生甲虫共有１７个属２９个种,而辽宁医巫闾山水生甲虫只有１０个属１３个种．两地水生甲虫Ｓｈａｎｎｏｎ多样性指数分别为２．１２４、１．６４３,Ｓｈａｎｎｏｎ均匀度分别为１．２６０、０．６４１,两种不同生态系统中的水生甲虫物种多度分布较好地拟合于对数级数模型,均以少数物种为优势种,其中长白山自然保护区水生甲虫以Ｈｙｄｒｏｇｌｙｐｈｕｓｊａｐｏｎｉｃｕｓ、Ｈａｌｉｐｌｕｓｓｉｍｐｌｅｘ为优势种,辽宁医巫闾山水生甲虫则以Ｈｙｄｒｏｇｌｙｐｈｕｓｐｕｓｉｌｕｓ、Ａｇａｂｕｓｕｓｕｒｉｅｎｓｉｓ、Ａｇａｂｕｓｂｒａｎｄｔｉ占优势．     

景观破碎化对东北虎主要猎物种群动态影响的模拟

以完达山东部地区的现实景观为背景,采用空间直观种群模型LAPS和情景模拟相结合的"虚拟实验"途径,模拟了在10个不同破碎化程度的景观情景中东北虎的主要猎物于1992-2011年间的种群动态,评价了完达山东部地区当前的景观破碎化程度对东北虎主要猎物种群动态的影响。结果表明:LAPS模型准确刻画了研究区东北虎主要猎物种群数量急剧下降的趋势,2002年模拟的东北虎主要猎物的种群数量和实测值之间没有显著差异,马鹿、野猪和狍子的P值分别为0.8651、0.9534和0.2836;不同生境类型的种群密度数据与实测值之间均没有显著差异,其中阔叶林生境中的马鹿、野猪和狍子的P值分别为0.8521、0.9447和0.3152;在灌丛生境中的马鹿、野猪和狍子的P值分别为0.8846、0.9576和0.2415。斑块类型和景观水平上的格局指标变化趋势表明由于农田扩张导致10个景观情景的破碎化程度逐渐增加,景观水平的破碎化程度低于斑块类型水平。方差分析显示10个景观情景中的种群数量没有显著差异,马鹿、野猪和狍子的P值分别为0.8516、0.2624和0.7636,说明研究区当前的景观破碎化程度对种群动态影响并不显著。完达山东部地区存在盗猎等人为干扰,导致了东北虎主要猎物的数量远低于环境容纳量,景观破碎化虽然在局部地区较为严重,但完达山东部地区整体上景观破碎化并不强烈,该地区景观破碎化的效应尚未显现。认为控制盗猎等人为干扰是增加该地区东北虎主要猎物的数量、实现东北虎种群恢复所应优先采取的措施。     

神农山白皮松不同龄组年轮-气候关系及PDSI重建

对比来自河南省神农山的不同年龄组白皮松树轮宽度年表特征值,发现敏感性都较高,表明树轮中含有较多的气候信息;树木越老敏感性越大但标准差也越大,幼龄树敏感性降低但信噪比(SNR)和样本总体解释量(EPS)都较老龄树大;整个组的信噪比(SNR)和样本总体解释量(EPS)高于各个年龄组。与气候因子相关结果表现出幼树和老树受温度的限制作用要强于中龄树(尤其是当年5月);树木生长模型显示其方差解释量为53.7%,调整后为48.3%,都通过99.9%的显著检验,表明当年5月和前一年9月的水热组合是树木生长的主要限制因子。各轮宽年表与前一年11月至当年10月的PDSI的相关均明显高于与各月PDSI的相关值,表明水热年组合的影响强于各月的水热组合。利用整个采样点样本建立的树轮宽度标准年表重建的1805—2005年时段的PDSI序列明显凸现出20世纪20—40年代研究区为严重的干旱期;多窗谱分析也表明,神农山地区存在2.3—5.1a、36.6a和78.7a的准周期,其中2.7a、2.8a和78.7a准周期最显著。这些周期性干湿变化可能与太阳活动、季风和ENSO的变化存在一定的关系。     

Initial Trends of Bird Assemblages Before and After River Diversion in an Endemic-rich African Forest

The Lower Kihansi Hydropower Project in southern Tanzania caused the diversion of the Kihansi River from the Kihansi Gorge in the year 2000. By sampling the understorey avifauna prior to diversion, we examined (i) whether the adjacent Udagaje Gorge was an adequate control for observations in the Kihansi Gorge; (ii) which species of conservation interest occurred; and, (iii) which season best suited annual monitoring. Species composition and capture rates at three and two elevational transects in the Kihansi Gorge and Udagaje Gorge, respectively, confirmed that Udagaje had a comparable avifaunal assemblage to Kihansi. The cold season was most appropriate for population monitoring because >2 times more individuals were captured in the cold than hot season at both gorges, and at least four altitudinal migrants were present in the cold but not hot season. Post-diversion sampling revealed that only the Upper Kihansi transect suffered a significant decrease in number of individuals, a result that was driven largely by a decline in the Little Greenbul, Andropadus virens. This transect is closest to the Kihansi waterfall and associated spray zone which were lost after river diversion. Lack of differences in bird communities at other transects after diversion illustrates that early post-diversion effects on birds are probably concentrated near the base of the main falls. Together with studies of other biota in Kihansi, we propose that long-term monitoring is necessary to understand the factors that regulate changes in species composition of this threatened forest site.     

芦芽山生态旅游植被景观特征与地理因子的相关分析

自然保护区是生态旅游的好去处。植被景观不仅仅是其重要的风景,而且更是协调其生态平衡的杠杆所在。通过取样调查,采用一系列植被景观特征指标,分析了芦山旅游植被景观特征与地理因子的关系。结果表明;芦牙山旅游植被景观特征的评价几乎不受自然环境的影响,而受人为活动影响较大。相对于自然地理因子而言,人文地理因子（即旅游活动）对植被景观具有更为显著的影响。此外,阴生种比值作为植被生态环境质量评价的指标,在本研究区域具有一定的非适用性。     

秦岭南坡松栎林群落演替过程中种间联结性和相关性研究

为了揭示秦岭南坡松栎林群落动态变化过程中物种间关系与群落演替的相互作用,基于2×2列联表,采用方差比率法、χ2检验、Jaccard指数和Spearman秩相关性系数探讨了油松林→松栎混交林→锐齿栎林演替序列过程中3个演替阶段群落优势种群的种间联结性和相关性。结果表明:(1)油松林、松栎混交林和锐齿栎林群落总体联结性均为显著正联结,各自具有相对的稳定性。(2)油松和松栎混交林群落正负联结性和相关性比例较小,群落稳定性均低于锐齿栎林群落。(3)先锋种间及其与前期过渡种间、顶级种间及其与后期过渡种间竞争较为激烈,过渡种间(包括前期过渡种间、前期过渡种与后期过渡种间、后期过渡种间)正联结占优势,较为稳定。(4)不同演替阶段群落可分别划分为4个、5个、4个生态种组。研究认为,秦岭南坡松栎混交林演替过程中种间关系逐渐趋于稳定共存,实践中及时调整种间关系可促使秦岭南坡松栎林群落趋于健康稳定,有效缩短演替的进程。     

祁连山西段草地土壤温度、水分变化特征

研究土壤水热要素对合理预测祁连山气候变化特征及建立气候预警系统有重要意义。采用18套土壤温、湿度自动记录仪(HOBOU30)对祁连山西段草地进行3a连续定位监测,旨在探索分析该区土壤水热变化特征,阐明土壤水热互作效应及耦合机制。表明:1)冷期(1—3、11—12月)占全年的42%,暖期(4—10月)占58%;7月前土壤均温随月份增大而增大,月份增大1月土壤均温增大3.53℃,水分增大3.23%;7月后随月份增大而减小,月份增大1月土壤均温降低4.73℃,水分下降2.55%。2)日变化16:00前土壤均温为7.45℃,水分为16.26%,16:00后均温为9.1℃,水分为16.79%,16:00后比前均温高1.65℃,水分高0.54%。3)土温、水分与海拔均呈线性正相关,前者差异显著(P0.05),后者不显著(P0.05)。4)土温逐层(0—120 cm)平均递增0.07℃,水分递减0.58%;土温与土层深度呈显著线性正相关(P0.05,R2=0.99),水分呈显著线性负相关(P0.05,R2=0.97)。5)该区土温与水分呈显著线性负相关。因此,祁连山西段草地土温变幅较小,水分变幅大,两者在空间上变化均呈二次函数,时间上均呈一次函数。