青藏高原高寒湿地GPP变化特征及对生长季积温的响应

基于涡度相关系统,利用2004-2016年的涡度相关系统观测资料,做了青藏高原高寒湿地生长季总初级生产力（GPP）在不同时间尺度上对生长季有效积温（GDD）响应的研究。结果表明：高寒湿地生态系统在生长季的日GPP、GDD与月际GPP、GDD都表现为先增大后减小的单峰变化趋势,都在7月或8月达到峰值,在5月达到最小值。在整个生长季尺度上,GPP与GDD变异性较大,没有明显的变化趋势。2004-2016年整个生长季GPP与GDD的均值分别为（458.82±25.78）gC m^-2季^-1和（1060.89±84.07）℃。在日尺度、月尺度、生长季尺度上,GPP与GDD都呈极显著正相关关系（P < 0.01）。但是,通过比较生长季分别每个月GPP与GDD的关系发现,5、9月的GPP与GDD没有显著相关性（P > 0.05）,而在7月相关性最为显著（P < 0.01）。整体上看,高寒湿地生态系统植被的总初级生产力与热量条件表现为正相关关系,由此说明在全球气候变暖的背景下,将会提高青藏高原高寒湿地生态系统植被的光合生产能力。     

Physical interactions facilitate sex change in the protogynous orange-spotted grouper,Epinephelus coioides

Sex change in teleost fishes is commonly regulated by social factors. In species that exhibit protogynous sex change, such as the orange-spotted grouper Epinephelus coioides, when the dominant males are removed from the social group, the most dominant female initiates sex change. The aim of this study was to determine the regulatory mechanisms of socially controlled sex change in E. coioides. We investigated the seasonal variation in social behaviours and sex change throughout the reproductive cycle of E. coioides, and defined the behaviour pattern of this fish during the establishment of a dominance hierarchy. The social behaviours and sex change in this fish were affected by season, and only occurred during the prebreeding season and breeding season. Therefore, a series of sensory isolation experiments was conducted during the breeding season to determine the role of physical, visual and olfactory cues in mediating socially controlled sex change. The results demonstrated that physical interactions between individuals in the social groups were crucial for the initiation and completion of sex change, whereas visual and olfactory cues alone were insufficient in stimulating sex change in dominant females. In addition, we propose that the steroid hormones 11-ketotestosterone and cortisol are involved in regulating the initiation of socially controlled sex change.     

Seasonal Shifts in Nocturnal Habitat Use by Coastal Bat Species

Sensitivity of bats to land use change depends on their foraging ecology, which varies among species based on ecomorphological traits. Additionally, because prey availability, vegetative clutter, and temperature change throughout the year, some species may display seasonal shifts in their nocturnal habitat use. In the Coastal Plain of South Carolina, USA, the northern long-eared bat (Myotis septentrionalis), southeastern myotis (Myotis austroriparius), tri-colored bat (Perimyotis subflavus), and northern yellow bat (Lasiurus intermedius) are species of conservation concern that are threatened by habitat loss. Our objective was to identify characteristics of habitat used by these species during their nightly active period and compare use between summer and winter. We conducted acoustic surveys at 125 sites during May–August and at 121 of the same 125 sites December–March 2018 and 2019 in upland forests, bottomland forests, fields, ponds, and salt marsh and used occupancy models to assess habitat use. The northern long-eared bat and southeastern myotis (i.e., myotis bats) used sites that were closer to hardwood stands, pine stands, and fresh water year-round. We did not identify any strong predictors of tri-colored bat habitat use in summer, but during winter they used bottomland forests, fields, and ponds more than salt marsh and upland forests. During summer and winter, northern yellow bats used sites close to fresh water and salt marsh. Additionally, during summer they used fields, ponds, and salt marsh more than upland and bottomland forests, but in winter they used bottomland forests, fields, and ponds more than upland forest and salt marsh. Our results highlight important land cover types for bats in this area (e.g., bottomland forests, ponds, and salt marsh), and that habitat use changes between seasons. Accounting for and understanding how habitat use changes throughout the year will inform managers about how critical habitat features may vary in their importance to bats throughout the year. © 2021 The Wildlife Society.     

季节性干旱地区典型树种长期水分利用特征与模式

在季节性干旱地区,水分是影响植物生长发育的关键核心因子。基于长期连续观测数据探究植物水分利用模式,对于季节性干旱地区植被建设具有重要意义。本研究以北京山区侧柏人工林为对象,利用稳定氢氧同位素技术测定了2012—2017年间土壤、植物枝条和降水同位素组成,通过MixSIAR模型定量分析侧柏对不同土层土壤水分的贡献率。结果表明: 深层(40～100 cm)土壤水较浅层(0～40 cm)土壤水稳定,受蒸发和降水的影响,浅层土壤含水量和水同位素值变化幅度较深层明显;侧柏主要吸收利用稳定的深层土壤水,贡献率为55.7%。在旱季,随着土壤水分含量的降低,植物对土壤水分的吸收深度逐渐向浅层转移;在水量充沛、自然适宜、轻度干旱、中度干旱条件下,深层土壤水的贡献率依次为59.8%、57.9%、54.6%、52.7%。在轻度和中度干旱条件下,雨季侧柏对深层土壤水的依赖程度高于旱季,以维持较大的蒸腾作用;在水量充沛、自然适宜、轻度干旱、中度干旱条件下,深层土壤水贡献率分别为58.9%、57.6%、56.4%、57.1%。侧柏依据土壤水分条件调整吸水深度的自适应特性,对季节性干旱地区生态造林树种的选择和长期管理规划具有重要意义。     

云南高黎贡山地区蝴蝶群落多样性

位于滇西北的高黎贡山是全球生物多样性研究和保护的热点地区之一, 然而该地区昆虫多样性缺乏系统调查和总结。本研究聚焦蝴蝶类群, 考虑该区域高山峡谷特点, 结合海拔梯度、生境类型和季节变化, 采用样线法调查、分析蝴蝶物种多样性及群落结构变化。结果显示: 共观测记录到蝴蝶2,055只, 隶属于5科85属151种, 在历史记录上新增27种, 使该地区已知蝴蝶种类达488种; 其中蛱蝶科物种多样性最高, 灰蝶科次之, 凤蝶科最低。蝴蝶群落多样性分析结果表明: 中海拔1,000-2,000 m区域种类丰富、多样性指数最高; 低海拔区蝴蝶分布明显聚集, 并且与高海拔地区空间上分离, 少有重叠。该地区不同生境中蝴蝶的种类及数量差异也较大, 物种数及多样性指数在自然保护区最高、边缘交错带居中及农业种植区最低。此外, 蝴蝶的种类和数量也存在季节差异, 春季调查到的个体数少, 夏季观察到的物种数少, 两年秋季调查到的物种丰富度、多样性均高, 但存在季节内变化。总之, 高黎贡山地区不同海拔、生境、季节间和季节内蝴蝶群落组成有自身特点, 共存物种有限, 蝴蝶群落相似性低。综合评估分布于该地区的蝴蝶保护种类, 包括易危种17种、近危种50种, 有国家二级保护蝴蝶3种。本研究弄清了高黎贡山地区蝴蝶的物种本底, 并调查获得其多样性随海拔、生境和季节变化的模式, 为加强区域物种多样性监测、保护生物多样性提供了科学依据。     

Effects of seasonal snow on the growing season of temperate vegetation in China

Variations in seasonal snowfall regulate regional and global climatic systems and vegetation growth by changing energy budgets of the lower atmosphere and land surface. We investigated the effects of snow on the start of growing season (SGS) of temperate vegetation in China. Across the entire temperate region in China, the winter snow depth increased at a rate of 0.15 cm yr^?1 (P = 0.07) during the period 1982–1998, and decreased at a rate of 0.36 cm yr^?1 (P = 0.09) during the period 1998–2005. Correspondingly, the SGS advanced at a rate of 0.68 day yr^?1 (P < 0.01) during 1982–1998, and delayed at a rate of 2.13 day yr^?1 (P = 0.07) during 1998–2005, against a warming trend throughout the entire study period of 1982–2005. Spring air temperature strongly regulated the SGS of both deciduous broad‐leaf and coniferous forests, whereas the winter snow had a greater impact on the SGS of grassland and shrubs. Snow depth variation combined with air temperature contributed to the variability in the SGS of grassland and shrubs, as snow acted as an insulator and modulated the underground thermal conditions. In addition, differences were seen between the impacts of winter snow depth and spring snow depth on the SGS; as snow depths increased, the effect associated went from delaying SGS to advancing SGS. The observed thresholds for these effects were snow depths of 6.8 cm (winter) and 4.0 cm (spring). The results of this study suggest that the response of the vegetation's SGS to seasonal snow change may be attributed to the coupling effects of air temperature and snow depth associated with the underground thermal conditions.     

Climate change and the optimal flowering time of annual plants in seasonal environments

Long‐term phenology monitoring has documented numerous examples of changing flowering dates during the last century. A pivotal question is whether these phenological responses are adaptive or not under directionally changing climatic conditions. We use a classic dynamic growth model for annual plants, based on optimal control theory, to find the fitness‐maximizing flowering time, defined as the switching time from vegetative to reproductive growth. In a typical scenario of global warming, with advanced growing season and increased productivity, optimal flowering time advances less than the start of the growing season. Interestingly, increased temporal spread in production over the season may either advance or delay the optimal flowering time depending on overall productivity or season length. We identify situations where large phenological changes are necessary for flowering time to remain optimal. Such changes also indicate changed selection pressures. In other situations, the model predicts advanced phenology on a calendar scale, but no selection for early flowering in relation to the start of the season. We also show that the optimum is more sensitive to increased productivity when productivity is low than when productivity is high. All our results are derived using a general, graphical method to calculate the optimal flowering time applicable for a large range of shapes of the seasonal production curve. The model can thus explain apparent maladaptation in phenological responses in a multitude of scenarios of climate change. We conclude that taking energy allocation trade‐offs and appropriate time scales into account is critical when interpreting phenological patterns.     

Ranging behaviour of Uganda’s elephants

Elephant populations are in decline across the African continent, but recent aerial surveys show that populations in Uganda are increasing. However, threats such as poaching and habitat disturbance remain. Having a comprehensive knowledge of the ranging behaviour of Ugandan elephants is crucial to understanding where critical habitat for the species occurs. We investigated various aspects of ranging behaviour of 45 radio-collared elephants (Loxodonta africana) in three areas—Queen Elizabeth Protected Area (QEPA), Murchison Falls (MFPA) Protected Area and Kidepo Valley (KVCA) Conservation Area. We also set Ugandan analyses in a continental context by comparison with home ranges reported in published literature. Elephants within KVCA had larger core ranges than elephants in QEPA or MFPA. Wet season ranges in KVCA were much larger than dry season ranges. The most important core areas in all three national parks were centred around water resources. Home range size was negatively correlated with net primary productivity (NPP) at Ugandan (N = 39 individuals) and continental (N = 17 sites) scales. This study indicates that, at a local scale, factors such as water source location are important in shaping elephant ranging behaviour. At larger scales, factors such as NPP are good predictors of elephant home range size.     

Effect of Metalaxyl on the incidence and severity of Pearl millet downy mildew disease in Northern Nigeria

Pearl millet downy mildew (DM) incidence, severity and yield losses of two pearl millet varieties (local and improved) due to the disease were determined in the field. Significant differences in the disease incidence and severity were recorded in the plots sown with metalaxyl-treated seeds and those sown with non-treated seeds, indicating the efficacy of the fungicide on the fungus. Yield losses due to non-treatment of seeds with metalaxyl was 40.88 and 45.39% in a local variety and 43.00 and 18.60% in an improved variety in the 2000 and 2001 cropping seasons respectively. Significant differences between plots sown with metalaxyl-treated and those sown with non-treated seeds were obtained for other yield components such as 1000-grains weight, panicle length and weight.