典型岩溶区域主要土壤类型分布特征与表层土壤保有量估算

在我国西南岩溶区域,土壤受地质和地形条件的影响程度较深,表现出强烈的非均一性;且在不同地质地形条件下,缺乏具体的量化参照系数,致使对土壤元素库容等方面的估算存在较大偏差。据此,本研究基于对贵阳市乌当区实地考察结果,归纳确立土壤在不同地质与地形下的分布特征,修正了现有的土壤图。利用地形图提取区域的坡度信息,再与土壤图和地质图进行叠加,乘以相应类型条件下土壤的经验系数,估算区域主要土壤类型表层(≤1m)土壤的保有量。结果表明,乌当区境内坡度>35°的碳酸盐岩地区无黄壤分布;石灰土的覆盖率和土壤剖面深度随坡度的增加,呈下降趋势,但连续性石灰岩分布区的石灰土变异程度较大;该区表层土壤(≤1m)保有量约为65656万t,主要集中分布在0°～15°碳酸盐岩分布区,且黄壤占50%以上。     

黄土高原丘陵沟壑区抗侵蚀植物叶表皮的生态适应性

采用叶表皮临时装片法研究了黄土高原丘陵沟壑区不同土壤侵蚀环境沟间地、沟谷地和沟间人工刺槐林地6种抗侵蚀植物叶表皮组成细胞的形态特征.结果表明: 沟间地抗侵蚀植物叶的上表皮气孔开度、气孔密度、气孔指数、气孔器长宽比可塑性、气孔器面积可塑性、表皮毛〖JP2〗密度和表皮细胞密度分别比沟谷地提高93.8%、66.8%、17.9%、36.4%、42.3%、199.4%和46.5%,下表皮分别提高90.4%、76.6%、9.8%、47.1%、43.9%、98.2%和50.1%;沟间人工刺槐林地叶上表皮各形态指标分别比沟谷地提高66.7%、20.5%、11.9%、37.9%、19.8%、113.1%和10.8%,叶下表皮分别提高106.7%、45.8%、11.9%、41.3%、21.2%、52.2%和28.1%.沟间地植物叶上、下叶表皮毛长度分别比沟谷地缩短58.8%和29.7%,表皮细胞面积分别比沟谷地减少40.3%和37.0%.沟间人工刺槐林地叶上、下表皮毛长度分别比沟谷地缩短25.0%和23.6%,表皮细胞面积分别比沟谷地减少22.2%和19.2%.抗侵蚀植物通过增加叶表皮气孔开度、气孔密度、气孔指数、气孔器长宽比可塑性、气孔器面积可塑性、表皮毛密度、表皮细胞密度和减少表皮毛长度、表皮细胞面积来适应较强的土壤侵蚀环境.     

不同降水条件下科尔沁沙地南缘疏林草地樟子松针叶δ13C和叶性状特征

通过比较不同自然降水年份(极端干旱和极端湿润)19年生疏林草地樟子松的针叶δ13C、比叶面积和干物质含量,结合土壤含水量和地下水埋深,探讨了极端降水对樟子松水分利用的影响.结果表明:干旱年份(2009)樟子松林土壤含水量显著低于湿润年份(2010),但樟子松当年生针叶的δ13C在两年间没有显著差异,且两年相同月份间亦无显著差异;干旱年份当年生针叶的比叶面积显著低于湿润年份,而不同年份间干物质含量的差异不显著.在两种极端降水条件下,樟子松的水分利用效率没有明显变化,主要通过改变当年生针叶的比叶面积来适应降水量的变化.对于地下水埋深高于3.0m的疏林草地樟子松人工林生态系统,极端干旱不会严重影响樟子松的存活和生长.     

中国西南与台湾地区维管植物的间断分布格局及形成机制

植物的间断分布格局及其形成机制是植物地理学研究的重要问题之一。本文在对中国大陆与台湾名录整理比较的基础上,对中国西南与台湾地区的植物间断分布格局及形成机制进行了分析。结果表明,两地同种型间断分布的维管植物有198种(包括变种和亚种),隶属于56科129属,其中蕨类植物86种,裸子植物3种,双子叶植物56种,单子叶植物53种;两地异种型间断分布的维管植物有22属,隶属于15科,其中蕨类植物6属,裸子植物1属,双子叶植物7属,单子叶植物兰科8属。间断分布类群以草本植物为主,主要是蕨类和兰科植物。间断分布类群在台湾地区主要分布在中部到东北部,在大陆的分布主要集中在川东–鄂西地区、川西–滇西北地区–藏东南地区和滇东南–桂西–黔西南地区。在垂直高度上,海拔1,550–2,350m是间断分布类群最集中分布的海拔范围。我们推测中国西南与台湾地区的间断分布类群有3种来源:北半球温带、中国西南和热带亚洲来源。     

Seedlings of temperate rainforest conifer and angiosperm trees differ in leaf area display

Background and Aims

The contemporary relegation of conifers mainly to cold or infertile sites has been ascribed to low competitive ability, as a result of the hydraulic inefficiency of tracheids and their seedlings'' initial dependence on small foliage areas. Here it is hypothesized that, in temperate rainforests, the larger leaves of angiosperms also reduce self-shading and thus enable display of larger effective foliage areas than the numerous small leaves of conifers.

Methods

This hypothesis was tested using 3-D modelling of plant architecture and structural equation modelling to compare self-shading and light interception potential of seedlings of six conifers and 12 angiosperm trees from temperate rainforests. The ratio of displayed leaf area to plant mass (LAR_d) was used to indicate plant light interception potential: LAR_d is the product of specific leaf area, leaf mass fraction, self-shading and leaf angle.

Results

Angiosperm seedlings self-shaded less than conifers, mainly because of differences in leaf number (more than leaf size), and on average their LAR_d was about twice that of conifers. Although specific leaf area was the most pervasive influence on LAR_d, differences in self-shading also significantly influenced LAR_d of large seedlings.

Conclusions

The ability to deploy foliage in relatively few, large leaves is advantageous in minimizing self-shading and enhancing seedling light interception potential per unit of plant biomass. This study adds significantly to evidence that vegetative traits may be at least as important as reproductive innovations in explaining the success of angiosperms in productive environments where vegetation is structured by light competition.     

Long-term functional plasticity in plant hydraulic architecture in response to supplemental moisture

Background and Aims

Plasticity in structural and functional traits related to water balance may determine plant performance and survival in ecosystems characterized by water limitation or high levels of rainfall variability, particularly in perennial herbaceous species with long generation cycles. This paper addresses whether and the extent to which several such seasonal to long-term traits respond to changes in moisture availability.

Methods

Using a novel approach that integrates ecology, physiology and anatomy, a comparison was made of lifetime functional traits in the root xylem of a long-lived perennial herb (Potentilla diversifolia, Rosaceae) growing in dry habitats with those of nearby individuals growing where soil moisture had been supplemented for 14 years. Traditional parameters such as specific leaf area (SLA) and above-ground growth were also assessed.

Key Results

Individuals from the site receiving supplemental moisture consistently showed significant responses in all considered traits related to water balance: SLA was greater by 24 %; roots developed 19 % less starch storing tissue, an indicator for drought-stress tolerance; and vessel size distributions shifted towards wider elements that collectively conducted water 54 % more efficiently – but only during the years for which moisture was supplemented. In contrast, above-ground growth parameters showed insignificant or inconsistent responses.

Conclusions

The phenotypic changes documented represent consistent, dynamic responses to increased moisture availability that should increase plant competitive ability. The functional plasticity of xylem anatomy quantified in this study constitutes a mechanistic basis for anticipating the differential success of plant species in response to climate variability and change, particularly where water limitation occurs.     

Leptin and leptin receptor genetic variants associate with habitual physical activity and the arm body composition response to resistance training

Purpose

We investigated the influence of Leptin (LEP) and leptin receptor (LEPR) SNPs on habitual physical activity (PA) and body composition response to a unilateral, upper body resistance training (RT) program.

Methods

European-derived American volunteers (men = 111, women = 131, 23.4 ± 5.4 yr, 24.4 ± 4.6 kg·m^− 2) were genotyped for LEP 19 G>A (rs2167270), and LEPR 326 A>G (rs1137100), 668 A>G (rs1137101), 3057 G>A (rs1805096), and 1968 G>C (rs8179183). They completed the Paffenbarger PA Questionnaire. Arm muscle and subcutaneous fat volumes were measured before and after 12 wk of supervised RT with MRI. Multivariate and repeated measures ANCOVA tested differences among phenotypes by genotype and gender with age and body mass index as covariates.

Results

Adults with the LEP 19 GG genotype reported more kcal/wk in vigorous intensity PA (1273.3 ± 176.8, p = 0.017) and sports/recreation (1922.8 ± 226.0, p < 0.04) than A allele carriers (718.0 ± 147.2, 1328.6 ± 188.2, respectively). Those with the LEP 19 GG genotype spent more h/wk in light intensity PA (39.7 ± 1.6) than A allele carriers (35.0 ± 1.4, p = 0.03). In response to RT, adults with the LEPR 668 G allele gained greater arm muscle volume (67,687.05 ± 3186.7 vs. 52,321.87 ± 5125.05 mm³, p = 0.01) and subcutaneous fat volume (10,599.89 ± 3683.57 vs. − 5224.73 ± 5923.98 mm³, p = 0.02) than adults with the LEPR 668 AA genotype, respectively.

Conclusion

LEP19 G>A and LEPR 668 A>G associated with habitual PA and the body composition response to RT. These LEP and LEPR SNPs are located in coding exons likely influencing LEP and LEPR function. Further investigation is needed to confirm our findings and establish mechanisms for LEP and LEPR genotype and PA and body composition associations we observed.     

Information‐theoretic model selection affects home‐range estimation and habitat preference inference: a case study of male Reeves’s Pheasants Syrmaticus reevesii

Reeves’s Pheasant Syrmaticus reevesii is a vulnerable forest bird inhabiting broadleaved habitats dominated by oaks Quercus spp. in central China. Identifying home‐ranges and habitat associations is important for understanding the biology of this species and developing effective management and conservation plans. We used information‐theoretic criteria to evaluate the relative performance of four parametric (exponential power, one‐mode bivariate normal, two‐mode bivariate normal and two‐mode bivariate circle) and two non‐parametric models (adaptive and fixed kernel) for estimating home‐ranges and habitat associations of Reeves’s Pheasants. For parametric models, Akaike’s information criterion (AIC_c) and the likelihood cross‐validation criterion (CVC) were relatively consistent in ranking the bivariate exponential power model the least acceptable, whereas the two‐mode bivariate models performed better. The CVC suggested that kernel models, particularly the adaptive kernel, performed best among all six models evaluated. The average core area and 95% contour area based on the model with greatest support were 6.1 and 54.9 ha, respectively, and were larger than those estimated from other models. The discrepancy in estimates between models with highest and the lowest support decreased as the contour size increased; however, home‐range shapes differed between models. Minimum convex polygons that removed 5% of extreme data points (MCP95) were roughly half the size of home‐ranges based on kernel models. Estimates of home‐range and model evaluation were not affected by sample size (> 50 observations for each bird). Inference about habitat preference based on composition analysis and home‐range overlap varied between models. That with strongest support suggested that Reeves’s Pheasants selected mature fir and mixed forest, avoided farmland, and had mean among‐individual home‐range overlaps of 20%. We recommend non‐parametric methods, particularly the adaptive kernel method, for estimating home‐ranges and core areas for species with complex multi‐polar habitat preferences in heterogeneous environments with large habitat patches. However, we caution against the traditional convenience of using a single model to estimate home‐ranges and recommend exploration of multiple models for describing and understanding the ecological processes underlying space use and habitat associations.     

Visual fields,foraging and collision vulnerability in Gyps vultures

The visual fields of vultures contain a small binocular region and large blind areas above, below and behind the head. Head positions typically adopted by foraging vultures suggest that these visual fields provide comprehensive visual coverage of the ground below, prohibit the eyes from imaging the sun and provide extensive visual coverage laterally. However, vultures will often be blind in the direction of travel. We conclude that by erecting structures such as wind turbines, which extend into open airspace, humans have provided a perceptual challenge that the vision of foraging vultures cannot overcome.     

Evaluating the ability of regional models to predict local avian abundance

Spatial modeling over broad scales can potentially direct conservation efforts to areas with high species-specific abundances. We examined the performance of regional models for predicting bird abundance at spatial scales typically addressed in conservation planning. Specifically, we used point count data on wood thrush (Hylocichla mustelina) and blue-winged warbler (Vermivora cyanoptera) from 2 time periods (1995–1998 and 2006–2007) to evaluate the ability of regional models derived via Bayesian hierarchical techniques to predict bird abundance. We developed models for each species within Bird Conservation Region (BCR) 23 in the upper midwestern United States at 800-ha, 8,000-ha, and approximately 80,000-ha scales. We obtained count data from the Breeding Bird Survey and land cover data from the National Land Cover Dataset (1992). We evaluated predictions from the best models, as defined by an information-theoretic criterion, using point count data collected within an ecological subregion of BCR 23 at 131 count stations in the 1990s and again in 2006–2007. Competing (Deviance Information Criteria <5) blue-winged warbler models accounted for 67% of the variability and suggested positive associations with forest edge and proportion of forest at the 8,000-ha scale, and negative associations with forest patch area (800 ha) and wetness (800 ha and 80,000 ha). The regional model performed best for blue-winged warbler predicted abundances from point counts conducted in Iowa during 1995–1996 (r_s = 0.57; P = 0.14), the survey period that most closely aligned with the time period of data used for regional model construction. Wood thrush models exhibited positive correlations with point count data for all survey areas and years combined (r_s = 0.58, P ≤ 0.001). In comparison, blue-winged warbler models performed worse as time increased between the point count surveys and vintage of the model building data (r_s = 0.03, P = 0.92 for Iowa and r_s = 0.13, P = 0.51 for all areas, 2006–2007), likely related to the ephemeral nature of their preferred early successional habitat. Species abundance and sensitivity to changing habitat conditions seems to be an important factor in determining the predictive ability of regional models. Hierarchical models can be a useful tool for concentrating efforts at the scale of management units and should be one of many tools used by land managers, but we caution that the utility of such models may decrease over time for species preferring relatively ephemeral habitats if model inputs are not updated accordingly. © 2012 The Wildlife Society.