西藏唐北地区湖泊动态及空间格局预测

本研究评估了西藏唐古拉山以北地区(唐北地区)湖泊动态并预测了湖泊空间格局变化.使用面向对象分类和光谱角向量变化检测方法生成了2000-2015年西藏唐北地区每5年一期的生态系统分布数据.以此为基础,分析了湖泊与其他生态系统之间的转换和空间格局特征,评估了湖泊空间格局的动态及其与相关自然地理因素的关系.通过增强回归树识别了不同因素对湖泊动态的贡献,使用GEOMOD模型预测了湖泊到2030年的空间变化.结果表明:唐北地区在2000-2015年间湖泊增加了14.2%,是唐北地区生态系统变化的主要形式之一.区域内15个面积大于10 km2的湖泊有10个增加,另有5个减少,且缩减量较低.通过空间格局分析发现,唐北地区湖泊斑块表现为面积和数量同时增加,大斑块面积比重略有上升.扩张幅度高的湖泊多分布于海拔高、坡度大、温度低、降水少、距离冰川近的区域.位于现有湖泊周边、温度低、降水少、坡度小的区域转变为湖泊的几率较高.根据过去15年的趋势,到2030年,唐北地区湖泊将继续增加119 km2,主要变化形式从大湖扩张转变为小型水面扩张.     

在矿山废弃地上发展可再生能源的潜力——以辽宁省为例

在国内外碳减排压力和我国能源结构调整需求下,我国可再生能源的开发压力较大.矿山具有丰富的废弃土地,发展可再生能源的潜力巨大,在矿山废弃地上开发可再生能源对我国的能源战略具有重要意义.本研究以辽宁省矿山废弃地为例,提出矿山废弃地的生物质能与太阳能发展预案,估算辽宁省矿山废弃地的可再生能源发展潜力.结果表明:辽宁省1227.6 km2的矿山废弃地面积发展可再生能源的潜力较大,不同预案的潜力差异显著.预案1以光伏发电最大化为目标模式,总计可发电量为79.4 TWh,折标煤量32.1 Mt,碳减排量为79.1Mt CO2.预案2以生物质能源利用最大化为目标模式,光伏与生物质能总的发电量可达到31.2~33.1 TWh,折标煤量12.7~13.4 Mt,碳减排量为31.1~33.0 Mt CO2.预案3以矿山能源综合利用最大化为目标并兼顾生态修复的发展模式,光伏与生物质能总的发电量可达到62.3~63.7 TWh,折标煤量25.1~25.7 Mt,碳减排量为62.1~63.5 Mt CO2.3种预案的发电量在31.2~79.4 TWh,占辽宁省2016年总电力消费量的15.3%~38.9%,折标煤量12.7~32.1 Mt,碳减排量为31.1~79.1 Mt CO2.本研究对在矿山废弃地上发展可再生能源潜力及其替代化石能源能力的评估,对于碳减排、能源结构的调整以及矿山废弃地的生态修复具有重要的研究意义.     

中国植物分布模拟研究现状

在过去的20年里, 物种分布模型已广泛应用于动植物地理分布的模拟研究。该文以植物物种分布模拟为例, 利用中国知网、维普网以及Web of Science文献数据库的检索与统计, 分析了2000-2018年间, 中国研究人员利用各种物种分布模型对植物物种分布模拟研究的发文量、模拟模型、物种类型、数据来源、研究目的等信息。最终共收集到366篇有效文献, 分析表明2011年以来中国的物种分布模型应用发展迅速, 且以最近5年最为迅猛, 在生态学、中草药业、农业和林业等行业部门应用广泛。在使用的33种模型中, 应用最广的为最大熵模型(MaxEnt)。有一半研究的环境数据仅包含气候数据, 另一半研究不仅包含气候数据还包括地形与土壤等数据; 环境及物种数据的来源多样, 国际及本土数据库均得到使用。模拟涉及有明确清单的562个植物种, 既有木本植物(52.7%), 也有草本植物(41.8%), 其中中草药、果树、园林植物、农作物等占比较高。研究目的主要集中在过去、现在和未来气候变化对植物种分布的影响及预测, 以及物种分布评估与生物多样性评价(包括入侵植物风险评估)两大方面。预测物种潜在分布范围与气候变化影响等基础研究, 与模拟物种适生区与推广种植等应用研究并重, 物种分布模型在生态学与农业、林业和中草药业等多学科、多行业开展多种应用, 多物种、多模型和多来源数据共同参与模拟与比较, 开发新的机理性物种分布模型, 拓展新的物种分布模拟应用领域, 是今后研究的重点发展方向。     

中国自然保护地空间重叠分析与保护地体系优化整合对策

自然保护地体系的构建是国际社会高度重视的生物多样性保护策略。近年来, 中国已关注到自然保护地空间重叠交叉的问题, 并出台了《关于建立以国家公园为主体的自然保护地体系的指导意见》。为落实这一战略, 需要对现有保护地的彼此关系与空间分布进行系统研究。为此, 本研究收集了8,572个不同类型和级别自然保护地的坐标、生态系统类型、行政区域及边界等信息, 筛选出1,532个具有空间重叠、管理部门交叉的自然保护地, 计算地理集中指数并采用ArcGIS软件进行了核密度分析, 得出空间重叠保护地分布的生态地理区、生态系统类型、交叉管理部门、所在省份等空间分布特点。研究结果显示: (1)鲁中山区、太行山、大别山、天目山-怀玉山、皖江等生态功能区的自然保护地重叠最为严重(核密度Mean > 6, Max > 8), 其中太行山区、大别山区、天目山-怀玉山区为重叠保护地密度高的生物多样性优先保护区, 目前10个国家公园试点区域中仅大熊猫国家公园体制试点区、湖南南山国家公园体制试点区、钱江源国家公园体制试点区三处位于保护地重叠高密度区; (2)原主管部门中, 原国家林业局与住房和城乡建设部的交叉管理保护地数量最多, 为294个; (3)黑龙江、安徽、山东、河南、湖北、湖南等省范围内的自然保护地空间重叠状况明显高于其他省区, 而晋冀豫与皖鄂赣这两处三省交界处重叠程度更高, 其他多处三省交界区域也存在保护地的中度重叠。故上述生态地理区、原主管部门与行政区应作为中国自然保护地体系优先普查区域与优化整合重点对象。基于重叠保护地核密度热点区、生物多样性保护优先区与生态系统文化服务的分析框架, 本研究按照国家公园、自然保护区、自然公园三类, 对不同生态功能区自然保护地优化整合优先性与类型提出了初步建议, 以期为当前中国自然保护地体系改革的紧迫需求提供参考。     

甘肃小苏干湖盐沼湿地盐地风毛菊叶形态-光合生理特征对淹水的响应

盐沼湿地植物叶片功能性状对淹水的响应分析, 有助于探究植物叶片可塑性机制与光合生理特征间的内在关联性, 对深入理解盐沼湿地植物的生境抗逆性策略具有重要意义。根据小苏干湖湖水泛滥区静水持留时间长短分别设置: 轻度淹水区(静水持留30-90天)、中度淹水区(静水持留90-150天)、重度淹水区(静水持留150-210天) 3个试验样地, 以盐地风毛菊(Saussurea salsa)为研究对象, 研究了小苏干湖盐沼湿地盐地风毛菊叶片功能性状对淹水的响应。结果表明: 随着静水持留时间的增加, 轻度淹水区盐地风毛菊形态上采用小比叶面积(SLA)的肉质化小叶模式, 光合生理上具有高实际光合效率(Y(II))和低调节性能量耗散的量子产额(Y(NPQ))的协同变异; 重度淹水区盐地风毛菊形态和光合生理上则采用与轻度淹水区完全相反的协同变异策略; 在3个样地中, SLA与Y(II)、光化学淬灭(QP)和Y(NPQ)间均呈极显著相关关系; 叶绿素a含量和叶绿素b含量与调节性能量耗散的量子产额(Y(NO))均呈显著正相关关系。小苏干湖湖水泛滥区静水时空演变格局影响下, 盐地风毛菊种群通过改变叶面积、叶厚度和SLA等叶片形态特征, 适时调整叶片Y(II)和Y(NPQ)等光合生理特征, 实现植物叶片光合碳同化产物的收支平衡, 表现出对水盐异质性环境较强的耐受性, 反映了盐沼湿地植物在极端生存环境下的叶片可塑性和抗逆性机制。     

Environmental drivers interactively affect individual tree growth across temperate European forests

Forecasting the growth of tree species to future environmental changes requires a better understanding of its determinants. Tree growth is known to respond to global‐change drivers such as climate change or atmospheric deposition, as well as to local land‐use drivers such as forest management. Yet, large geographical scale studies examining interactive growth responses to multiple global‐change drivers are relatively scarce and rarely consider management effects. Here, we assessed the interactive effects of three global‐change drivers (temperature, precipitation and nitrogen deposition) on individual tree growth of three study species (Quercus robur/petraea, Fagus sylvatica and Fraxinus excelsior). We sampled trees along spatial environmental gradients across Europe and accounted for the effects of management for Quercus. We collected increment cores from 267 trees distributed over 151 plots in 19 forest regions and characterized their neighbouring environment to take into account potentially confounding factors such as tree size, competition, soil conditions and elevation. We demonstrate that growth responds interactively to global‐change drivers, with species‐specific sensitivities to the combined factors. Simultaneously high levels of precipitation and deposition benefited Fraxinus, but negatively affected Quercus’ growth, highlighting species‐specific interactive tree growth responses to combined drivers. For Fagus, a stronger growth response to higher temperatures was found when precipitation was also higher, illustrating the potential negative effects of drought stress under warming for this species. Furthermore, we show that past forest management can modulate the effects of changing temperatures on Quercus’ growth; individuals in plots with a coppicing history showed stronger growth responses to higher temperatures. Overall, our findings highlight how tree growth can be interactively determined by global‐change drivers, and how these growth responses might be modulated by past forest management. By showing future growth changes for scenarios of environmental change, we stress the importance of considering multiple drivers, including past management and their interactions, when predicting tree growth.     

Leveraging plant hydraulics to yield predictive and dynamic plant leaf allocation in vegetation models with climate change

Plant functional traits provide a link in process‐based vegetation models between plant‐level physiology and ecosystem‐level responses. Recent advances in physiological understanding and computational efficiency have allowed for the incorporation of plant hydraulic processes in large‐scale vegetation models. However, a more mechanistic representation of water limitation that determines ecosystem responses to plant water stress necessitates a re‐evaluation of trait‐based constraints for plant carbon allocation, particularly allocation to leaf area. In this review, we examine model representations of plant allocation to leaves, which is often empirically set by plant functional type‐specific allometric relationships. We analyze the evolution of the representation of leaf allocation in models of different scales and complexities. We show the impacts of leaf allocation strategy on plant carbon uptake in the context of recent advancements in modeling hydraulic processes. Finally, we posit that deriving allometry from first principles using mechanistic hydraulic processes is possible and should become standard practice, rather than using prescribed allometries. The representation of allocation as an emergent property of scarce resource constraints is likely to be critical to representing how global change processes impact future ecosystem dynamics and carbon fluxes and may reduce the number of poorly constrained parameters in vegetation models.     

Woodland restoration and forest structure affect nightjar abundance in the Ozark Highlands

Chuck-will's-widow (Antrostomus carolinensis) and eastern whip-poor-will (Antrostomus vociferus) are nightjars in eastern North America that have declined 69% and 67%, respectively, in abundance since 1966, resulting in conservation concerns for these species. We investigated relationships between nightjar abundance and landscape composition, forest structure, and application of tree thinning and prescribed fire because of regional interest in woodland restoration and nightjar conservation. We conducted nocturnal nightjar surveys at 385 points in southern Missouri, USA, in 2014 and 2015 and related counts to pine (Pinus spp.) and hardwood basal area, canopy closure, percent forest cover, and percent of area thinned or burned within 500 m of survey points. We modeled abundance of chuck-will's-widow and eastern whip-poor-will using time-removal models that included a detection process and an abundance process within a hierarchical Bayesian framework. We detected 534 eastern whip-poor-will and 186 chuck-will's-widow during surveys. Our data supported global models that included all 6 vegetation and management variables for both species. Chuck-will's-widow abundance was negatively related to hardwood basal area and peaked at intermediate values of percent area burned and percent forest cover. Eastern whip-poor-will abundance was negatively related to hardwood basal area and canopy cover, positively related to percent forest cover and percent of area burned, and peaked at low to moderate levels of percent of area thinned. Relationships to forest structure and management activities generally supported the conclusion that woodland restoration benefits nightjars and that chuck-will's-widow select landscapes with less forest cover than eastern whip-poor-will.     

Gill monogeneans of neotropical cichlid fish: diversity,phylogenetic relationships,and host-parasite cophylogenetic associations

Host-parasite coevolution is one of the main topics of the evolutionary biology of host-parasite associations. The majority of monogeneans parasitizing fish exhibit a high degree of host specificity. As a result, their evolutionary history might be intertwined with that of their fish hosts. The Cichlidae represent a diverse group of secondary freshwater fish with disjunctive distribution. Host-specific dactylogyrid monogeneans commonly parasitize cichlid fish. Their high diversity is associated with the main areas of cichlid distribution, i.e., Neotropical America and Africa. Nevertheless, the parasite fauna of cichlids from Neotropical America is still underexplored. A total of 31 cichlid species were examined for the presence of monogeneans, with 20 of them being parasitized. On these cichlids, 30 monogeneans belonging to the genera Gussevia, Trinidactylus, and Scadicleithrum were identified, 17 of them potentially representing new species for science. Phylogenetic analyses revealed three monophyletic groups of Neotropic cichlid monogeneans. Genus Gussevia was monophyletic, while Sciadicleithrum resulted polyphyletic. Sciedicleithrum from South America and Sciadicleithrum from Mexico represented two divergent lineages. The plesiomorphic Neotropical cichlid host group for dactylogyrid monogeneans was Cichlini, from which the representatives of other Neotropical cichlid tribes were colonised. Cophylogenetic analyses revealed a statistically significant cophylogenetic signal in the investigated host-parasite system, with host switch and duplication representing the main coevolutionary events for monogeneans parasitizing Neotropical cichlids. This scenario is in accordance with previous studies focussed on dactylogyridean monogeneans parasitizing freshwater fish in Europe and Africa.