岷江上游黑水河流域不同景观结构小流域径流系数的比较

在GIS技术支持下,结合岷江上游黑水河流域1988-2002年多年平均降水量和蒸散量空间分布,对不同景观结构的小流域多年平均径流系数进行比较.结果表明:不同土地覆盖类型组合流域多年平均径流系数大小关系依次为林灌流域《林灌草复合流域《森林流域《林草流域,这与流域土地利用类型、流域海拔分布和迎风坡向分布特征有关;对于森林流域和灌木流域,其多年平均径流系数主要受多年平均降水量、多年平均蒸散量和平均坡度共同影响;对于林草流域和林灌草复合流域,其多年平均径流系数主要受流域的多年平均降水量、多年平均蒸散量和多林草面积比共同影响.     

Belowground biomass of alpine shrublands across the northeast Tibetan Plateau

Although belowground biomass (BGB) plays an important role in global cycling, the storage of BGB and climatic effects on it are remaining unclear. With data from 49 sites, we aimed to investigate BGB and its climatic controls in alpine shrublands in the Tibetan Plateau. Our study showed that the BGB (both grass‐layer and shrub‐layer biomass) storage in the alpine shrublands was 67.24 Tg, and the mean BGB density and shrublands area were 1,567.38 g/m² and 4.29 × 10⁴ km², respectively. Shrub layer had a larger BGB stock and accounted for 66% of total BGB this area, while only 34% was accumulated in the grass layer. BGB of the grass layer in the Tibetan Plateau shrublands was larger than that of Tibetan alpine grasslands, indicating that shrubland ecosystem played a critical importance role in carbon cycle on the Tibetan Plateau. The BGB in the grass layer and shrub layer demonstrated different correlations with climatic factors. Specifically, the effects from mean annual temperature on shrub‐layer BGB were not significant, similarly to the relationship between mean annual precipitation and grass‐layer BGB. But shrub‐layer BGB had a significantly positive relationship with mean annual precipitation (p < .05), while grass‐layer BGB showed a trend of decrease with increasing mean annual temperature (p < .05). Consequently, the actual and potential increases of BGB varied due to different increases of mean annual precipitation and temperature among different areas of the Tibetan Plateau. Therefore, in the warmer and wetter scenario, due to contrary relationships from mean annual precipitation and temperature on shrub‐layer BGB and grass‐layer BGB, it is necessary to conduct a long‐term monitoring about dynamic changes to increase the precision of assessment of BGB carbon sequestration in the Tibetan Plateau alpine shrublands.     

蒙古高原草地不同深度土壤碳氮磷化学计量特征对气候因子的响应

研究不同深度土壤碳(C)、氮(N)、磷(P)含量及其化学计量比对气候因子(年降水量(MAP)和年平均气温(MAT))的响应差异, 对于理解气候变化如何影响生态系统功能具有重要意义。通过对蒙古高原干旱半干旱草地44个样点的野外调查, 探讨了不同深度(0-20、20-40、40-60、60-80 cm)土壤C、N、P含量及其化学计量比与MAP和MAT的关系。主要结果: (1)随土壤深度的增加, 土壤C和N含量逐渐减少, 土壤P含量不变; 土壤C:P和N:P逐渐降低, 土壤C:N相对稳定。(2)土壤C、N、P含量以及土壤C:P、N:P与MAP显著正相关, 与MAT显著负相关, 土壤C:N与MAP显著负相关, 与MAT无相关性; 随着土壤深度的增加, 土壤C、N、P含量及其化学计量比与气候因子的相关性均逐渐减弱。(3) MAP和MAT对不同深度土壤C、N、P含量和化学计量比的影响存在显著差异; 随着土壤深度的增加, MAP和MAT对土壤C、N、P含量及其化学计量特征变化的总解释度逐渐减少。该研究表明气候因子对土壤元素化学计量特征具有自上而下的调控作用, 蒙古高原草地土壤表层C、N、P含量及其化学计量比与MAP和MAT的关系更为密切。     

河北省年均降水量插值方法比较

以河北省及临近区域120个气象观测站点1971～2000年均降水量数据为基础,选择其中的40个作为检验站点,其余站点分别取80、40、20个作为插值站点,采用局部插值、整体插值、多元线性回归、综合模拟等多种插值模型讨论了降水空间插值问题,主要结论如下:插值站点数、模型类型、模型参数都会影响插值精度.局部插值模型相对误差最小值出现在Spline、IDW模型中,其次为Kridging模型,而整体模型Trend、多元线性回归模型误差均较大,但综合了局部插值模型和统计模型的综合模型一定程度上能改善插值精度及误差分布.河北省80和40个站点的最优插值模型为综合模型,20个站点的最优插值模型为IDW2.     

Cartographic analysis of woodlice fauna of the former USSR

An inventory of the woodlice fauna of the former USSR yielded 190 species, 64 of them were recorded from the territory of Russia. According to the cartographic analysis, the limits of distribution of epigean terrestrial isopods over the area, excluding mountains, is explained by temperature. No woodlice records were found outside the isocline of 120 days a year with the mean daily air temperature >10°C. The highest species diversity was found between the isoclines of 180 and 210 days. These areas correspond to forest-steppe and steppe zones.     

Analyzing trait-climate relationships within and among taxa using machine learning and herbarium specimens

Premise

Continental-scale leaf trait studies can help explain how plants survive in different environments, but large data sets are costly to assemble at this scale. Automating the measurement of digitized herbarium collections could rapidly expand the data available to such studies. We used machine learning to identify and measure leaves from existing, digitized herbarium specimens. The process was developed, validated, and applied to analyses of relationships between leaf size and climate within and among species for two genera: Syzygium (Myrtaceae) and Ficus (Moraceae).

Methods

Convolutional neural network (CNN) models were used to detect and measure complete leaves in images. Predictions of a model trained with a set of 35 randomly selected images and a second model trained with 35 user-selected images were compared using a set of 50 labeled validation images. The validated models were then applied to 1227 Syzygium and 2595 Ficus specimens digitized by the National Herbarium of New South Wales, Australia. Leaf area measurements were made for each genus and used to examine links between leaf size and climate.

Results

The user-selected training method for Syzygium found more leaves (9347 vs. 8423) using fewer training masks (218 vs. 225), and found leaves with a greater range of sizes than the random image training method. Within each genus, leaf size was positively associated with temperature and rainfall, consistent with previous observations. However, within species, the associations between leaf size and environmental variables were weaker.

Conclusions

CNNs detected and measured leaves with levels of accuracy useful for trait extraction and analysis and illustrate the potential for machine learning of herbarium specimens to massively increase global leaf trait data sets. Within-species relationships were weak, suggesting that population history and gene flow have a strong effect at this level. Herbarium specimens and machine learning could expand sampling of trait data within many species, offering new insights into trait evolution.     

Species richness,vegetation structure,and floristic composition of woody plants along the elevation gradient of Mt. Meru,Tanzania

Understanding the change in vegetation composition along elevational gradients is critical for species conservation in a changing world. We studied the species richness, tree height, and floristic composition of woody plants along an elevation gradient of protected habitats on the eastern slope of Mount Meru and analyzed how these vegetation variables are influenced by the interplay of temperature and precipitation. Vegetation data were collected on 44 plots systematically placed along five transects spanning an elevational gradient of 1600 to 3400 m a.s.l. We used ordinary linear models and multivariate analyses to test the effect of mean annual temperature and precipitation on woody plant species richness, tree height, and floristic composition. We found that species richness, mean tree height, and maximum tree height declined monotonically with elevation. Models that included only mean annual temperature as an explanatory variable were generally best supported to predict changes in species richness and tree height along the elevation gradient. We found significant changes in woody plant floristic composition with elevation, which were shaped by an interaction of mean annual temperature and precipitation. While plant communities consistently changed with temperature along the elevation gradient, levels of precipitation were more important for plant communities at lower than for those at higher elevations. Our study suggests that changes in temperature and precipitation regimes in the course of climate change will reshape elevational gradients of diversity, tree height, and correlated carbon storage in ecosystems, and the sequence of tree communities on East African mountains.     

Variations of root and heterotrophic respiration along environmental gradients in China's forests

Aims Root and heterotrophic respiration may respond differently to environmental variability, but little evidence is available from large-scale observations. Here we aimed to examine variations of root and heterotrophic respiration across broad geographic, climatic, soil and biotic gradients.Methods We conducted a synthesis of 59 field measurements on root and heterotrophic respiration across China's forests.Important findings Root and heterotrophic respiration varied differently with forest types, of which evergreen broadleaf forest was significantly different from those in other forest types on heterotrophic respiration but without statistically significant differences on root respiration. The results also indicated that root and heterotrophic respiration exhibited similar trends along gradients of precipitation, soil organic carbon and satellite-indicated vegetation growth. However, they exhibited different relationships with temperature: root respiration exhibited bimodal patterns along the temperature gradient, while heterotrophic respiration increased monotonically with temperature. Moreover, they showed different relationships with MOD17 GPP, with increasing trend observed for root respiration whereas insignificant change for heterotrophic respiration. In addition, root and heterotrophic respiration exhibited different changes along the age sequence, with insignificant change for root respiration and decreasing trend for heterotrophic respiration. Overall, these results suggest that root and heterotrophic respiration may respond differently to environmental variability. Our findings could advance our understanding on the different environmental controls of root and heterotrophic respiration and also improve our ability to predict soil CO₂ flux under a changing environment.     

中国东部海岛森林和灌丛土壤碳氮磷养分库的纬度变化

虽然海岛结构相对简单,但在生物多样性和生态功能维持方面起重要作用.以中国东部暖温带、北亚热带、中亚热带和南亚热带的14个海岛为对象,研究森林土壤碳和氮磷养分库的纬度变化特征,并分析其与气候因子和植物多样性的关系.结果表明:土壤碳和氮磷养分库在温度带间差异显著,土壤碳库与氮库在暖温带最低,分别为49.35和1.08 t·hm^-2,在北亚热带最高,为137.25和4.63 t·hm^-2;磷库在南亚热带海岛最低,为1.3 t·hm^-2,在北亚热带最高,为5.19 t·hm^-2.各植被类型土壤碳氮磷库在不同温度带间存在显著差异,落叶林土壤碳氮磷库在亚热带高于暖温带;常绿阔叶林土壤碳和氮库不受温度带影响,磷库在北亚热带和中亚热带显著高于南亚热带.年均温、年降水量、土壤含水量和植物物种多样性间的交互作用对土壤碳氮磷库有显著正向影响;植物物种多样性对土壤氮库变化有正向影响,但对磷库具有负向影响.海岛森林土壤碳库的纬度变化趋势与大陆相反,土壤氮磷养分库变化格局与大陆相似;其中,水热和植物物种多样性是驱动中国东部海岛森林土壤碳氮磷库变化的主要非生物和生物因素.     

Factors Affecting Mortality and Resistance to Damage Following Hurricanes in a Rehabilitated Subtropical Moist Forest1

The ability to resist hurricane damage is a property of both individuals and communities, and can have strong effects on the structure and function of many tropical forests. We examined the relative importance of tree size, species, biogeographic origin, local topography, and damage from previous storms in long‐term permanent plots in a rehabilitated subtropical moist forest in Puerto Rico following Hurricane Georges in order to better predict patterns of resistance. Severe damage included uprooted trees, snapped stems, or crowns with greater than 50 percent branch loss. Hurricane induced mortality after 21 mo was 5.2 percent/yr, more than seven times higher than background mortality levels during the nonhurricane periods. Species differed greatly in their mortality and damage patterns, but there was no relationship between damage and wood density or biogeographic origin. Rather, damage for a given species was correlated with mean annual increment, with faster growing species experiencing greater damage, suggesting that growth rate may reflect a variety of life history tradeoffs. Size was also predictive of damage, with larger trees suffering more damage. Trees on ridges and in valleys received greater damage than trees on slopes. A strong relationship was noted between previous hurricane damage and present structural damage, which could not solely be explained by the patterns with size and species. We suggest that resistance of trees to hurricane damage is therefore not only correlated with individual and species characteristics but also with past disturbance history, which suggests that in interpreting the effects of hurricanes on forest structure, individual storms cannot be treated as discrete, independent events.     

1956-1998年间中纬度近海与内陆城市年气温与热岛效应的变化趋势

选取纬度相近、发展规模类似的近海（济南）与内陆（西安）城市为研究对象,对比分析了1956—1998年间济南和西安气温与热岛效应的变化趋势.结果表明：1956—1978年间,除济南年均最低气温以0.37 ℃·10 a^-1的速率上升外,2个城市的气温指标均无明显变化趋势;1979—1998年间,2个城市则表现出显著的增温趋势,其中西安年均最高气温和年均气温的增加速率大于济南,济南年均最低气温的增加速率大于西安.1956—1978年间,2个城市均存在城市热岛效应但无显著增加趋势,1979—1998年间的热岛效应明显强化,以西安在年均气温（0.22 ℃·10 a^-1）和年均最低气温（0.32 ℃·10 a^-1）上表现的热岛效应的增加趋势更为明显.济南热岛效应强度和年际波动均大于西安,但其增加速率却小于西安.济南年均最高气温、年均气温和年均最低气温的增温速率和热岛效应强度明显不同,西安则较接近.3个气温指标中以年均最低气温的增加趋势最明显,同时对热岛效应的响应最显著,年均最高气温的波动性最大.地理位置不但影响城市增温的幅度,而且也深刻影响着城市增温的形式与热岛效应强度.     

1956—1998年间中纬度近海与内陆城市年气温与热岛效应的变化趋势

选取纬度相近、发展规模类似的近海（济南）与内陆（西安）城市为研究对象,对比分析了1956—1998年间济南和西安气温与热岛效应的变化趋势.结果表明：1956—1978年间,除济南年均最低气温以0.37 ℃·10 a^-1的速率上升外,2个城市的气温指标均无明显变化趋势;1979—1998年间,2个城市则表现出显著的增温趋势,其中西安年均最高气温和年均气温的增加速率大于济南,济南年均最低气温的增加速率大于西安.1956—1978年间,2个城市均存在城市热岛效应但无显著增加趋势,1979—1998年间的热岛效应明显强化,以西安在年均气温（0.22 ℃·10 a^-1）和年均最低气温（0.32 ℃·10 a^-1）上表现的热岛效应的增加趋势更为明显.济南热岛效应强度和年际波动均大于西安,但其增加速率却小于西安.济南年均最高气温、年均气温和年均最低气温的增温速率和热岛效应强度明显不同,西安则较接近.3个气温指标中以年均最低气温的增加趋势最明显,同时对热岛效应的响应最显著,年均最高气温的波动性最大.地理位置不但影响城市增温的幅度,而且也深刻影响着城市增温的形式与热岛效应强度.     

Microbial Nonlinear Response to a Precipitation Gradient in the Northeastern Tibetan Plateau

The response of soil microbes to global warming, especially their response to precipitation, remains poorly known. The Tibetan Plateau is very sensitive to climate change. In particular, the northeastern margin of the Tibetan Plateau is an interesting area to test the response of soil microbial communities to precipitation, as there is a distinct gradient in annual precipitation from east to west. We collected soil samples along a precipitation gradient in arid and semi-arid areas of the northeastern Tibetan Plateau. Phospholipid fatty acid (PLFA) technology was used to analyze the microbial community structure and total microbial biomass. With declining precipitation, bacterial biomass decreased significantly, whereas fungal biomass did not show an obvious trend; this result indicates that bacteria are more sensitive to mean annual precipitation (MAP). Overall, the biomass of Gram-negative (G^?) bacteria represented up to 82% of the total bacterial biomass. In the high (260–394 mm yr^?1) MAP areas, bacterial biomass was mainly concentrated at the surface and decreased with increasing soil depth (0–40 cm). In contrast, in the low (36–260 mm yr^?1) MAP areas, bacterial biomass was mainly concentrated in the deep soils. The mean annual precipitation was strongly correlated with soil microbial community in space, with microbial communities in the 0–10-cm soil depth most affected by precipitation. Groundwater may impact microbial communities in the 20–40-cm soil depth of this arid and semiarid region. The clustering of the microbial communities was significantly grouped according to the MAP gradient, revealing that MAP is a major driving force of microbial communities in this arid and semi-arid area. The decline in MAP led to a shift in the structure of the microbial community and an overall reduction in microbial biomass.     

兴安落叶松(Larix gmelinii Rupr.)叶片养分的空间分布格局

对中国东北温带森林生态系统主要树种兴安落叶松(Larix gmelinii Rupr.)24个采样点72个叶片样品有机碳(C)、全氮(N)、全磷(P)和全钾(K)的化学组成、地理分布格局及其与气候因子的关系进行了研究.结果表明,叶片C、N、P和K含量的几何平均数分别为543.970、16.902、2.373mg/g和14.625mg/g,且叶片的C含量>N含量>K含量>P含量;叶片的C/N、C/P和N/P分别为32.183、229.226和7.123.随纬度的增加、年均温度和年均降雨量的降低,兴安落叶松叶片C、N含量和N/P显著降低,叶片C/N和K含量显著升高,叶片P含量和C/P的变化没有达到显著水平.叶片N含量随纬度与年均温度的变化与全球及其它大尺度的研究结果相反,而N/P与其一致,这与在该区域的其它物种的研究结果基本一致.这可能是由于在本研究区域北部寒温带越往高纬度地区年均温度和年均降雨量越低、生长季越短,因此成土作用弱导致植物可以吸收利用的养分越少,但是由于植物显著降低的N含量和变化不明显的P含量导致了叶片N/P随纬度的增加和年均温度和年均降雨量的降低而降低,这与全球尺度的研究结果一致.兴安落叶松叶片养分分布格局与全球尺度和中国区域研究结果的差异说明了加强区域叶片养分特征研究的重要性.叶片养分与气候因子的显著线性相关说明气候因子是影响叶片养分特征的一个主要因子.     

Aboveground carbon sequestration in dry temperate forests varies with climate not fire regime

The storage of carbon in plant tissues and debris has been proposed as a method to offset anthropogenic increases in atmospheric [CO₂]. Temperate forests represent significant above‐ground carbon (AGC) “sinks” because their relatively fast growth and slow decay rates optimise carbon assimilation. Fire is a common disturbance event in temperate forests globally that should strongly influence AGC because: discrete fires consume above‐ground biomass releasing carbon to the atmosphere, and the long‐term application of different fire‐regimes select for specific plant communities that sequester carbon at different rates. We investigated the latter process by quantifying AGC storage at 104 sites in the Sydney Basin Bioregion, Australia, relative to differences in components of the fire regime: frequency, severity and interfire interval. To predict the potential impacts of future climate change on fire/AGC interactions, we stratified our field sites across gradients of mean annual temperature and precipitation and quantified within‐ and between‐factor interactions between the fire and climate variables. In agreement with previous studies, large trees were the primary AGC sink, accounting for ~70% of carbon at sites. Generalised additive models showed that mean annual temperature was the strongest predictor of AGC storage, with a 54% near‐linear decrease predicted across the 6.1°C temperature range experienced at sites. Mean annual precipitation, fire frequency, fire severity and interfire interval were consistently poor predictors of total above‐ground storage, although there were some significant relationships with component stocks. Our results show resilience of AGC to frequent and severe wildfire and suggest temperature mediated decreases in forest carbon storage under future climate change predictions.     

从自然保护区到国家公园体制试点: 三江源国家公园环境覆盖的变化及其对两栖爬行类保护的启示

三江源地区具有丰富的高原生物多样性, 是我国重要的生态安全屏障。作为我国第一个体制试点的国家公园, 三江源国家公园将被建成青藏高原大自然保护展示和生态文化传承区。为更好地服务于三江源国家公园建设, 本研究从海拔、年均温和年降水等方面, 在环境空间上系统比较了国家公园与三江源和可可西里自然保护区的差异; 以4种两栖爬行动物即高原林蛙(Rana kukunoris)、倭蛙(Nanorana pleskei)、西藏齿突蟾(Scutiger boulengeri)和青海沙蜥(Phrynocephalus vlangalii)分布点环境条件在国家公园内外的异同为例, 探讨分布受环境制约大、扩散能力弱的物种保护在国家公园建设中可能面临的机遇和挑战。结果表明, 国家公园与已建自然保护区在地理空间上重叠较大, 但它们在自然环境上的差别很明显; 自然保护区内两栖爬行类所偏好的环境条件较多未包含在国家公园内。鉴于三江源的区位特殊性及对气候变化的敏感性, 区域内两栖爬行动物等对环境依赖性强、扩散能力弱物种的有效保护不仅有助于保持物种遗传多样性和区域生态系统的完整性, 也有利于更好地实现国家公园目标定位并服务于生态文明建设。为此, 在国家公园内, 应开展两栖爬行动物种群动态和群落结构的长期监测, 加强基础生物学研究, 掌握环境变化对两栖爬行动物分布、遗传、行为、形态、种群动态及群落可能产生的影响, 实现区域内两栖爬行动物及其类似物种在环境变化下的永续生存。     

孢粉及其他标识重建和PMIP模拟末次大冰期年均温——协调资料-模型比较法尝试

气象资料检测证明了气候模型模拟现代温度比用更复杂的湿度平衡模型好得多,而根据地质资料在山区和沿海地区重建和模型模拟的可信度要低一些,所以在比较地质资料和过去气候模拟时要考虑这个实际情况,在当前研究中我们进行末次大冰期资料一模型比较时以年均温为例,在使用所有点的资料时出现了模拟和重建之间的不一致,相反,当去掉那些模棱两可的地点后结果变得意外的好,在少数情况下结果不同时,边界条件不确定或者资料太少是模型和资料不一致的主要原因,通过使用模拟和资料的区域性平均值,我们证明了PMIP能够正确地模拟出地球陆地上区域性的年均温,在区域性研究中因经常使用未经选择的资料作为模型确认值,因而很难获得这一重要的结论。     

桂西南28年生米老排人工林生物量及其分配特征

应用相对生长法对桂西南28年生米老排人工林生物量及其分配特征进行了研究。结果表明:28年生米老排人工林生物量为281.47t·hm-2,生态系统生物量分配格局为乔木层(97.89%)>凋落物层(1.87%)>灌木层(0.16%)>草本层(0.08%);其中,乔木层生物量为275.54t·hm-2,其生物量在各器官的分配规律为树干(63.01%)>树根(21.01%)>树枝(9.64%)>树皮(4.38%)>树叶(1.72%)>果实(0.25%);乔木生物量的径级分布接近正态分布,生物量主要集中在径级为25～29cm的林木,占乔木层生物量总量的48.15%;28年生米老排人工林林分年均净生产力为15.61t·hm-2·a-1,各组分净生产力大小顺序为乔木层(81.50%)>凋落物层(16.82%)>灌木层(0.98%)>草本层(0.70%);乔木层年均净生产力为12.72t·hm-2·a-1,各器官净生产力大小顺序为树干(48.76%)>树叶(18.64%)>树根(16.26%)>树枝(7.46%)>果实(5.50%)>树皮(3.39%)。