Roadsides provide refuge for orchids: characteristic of the surrounding landscape

Seminatural habitats are declining throughout the world; thus, the role of small anthropogenic habitats in the preservation of plants is becoming increasingly appreciated. Here, we surveyed the orchid flora of roadside verges in five Central European countries (Austria, Hungary, Romania, Slovakia, and Slovenia) and tested how the surrounding landscape matrix affects the overall number of species and individuals, and also different functional groups of orchids. We found more than 2,000 individuals of 27 orchid species during our surveys. According to our results, the increasing coverage of agricultural and urban areas negatively affects both the number of orchid species and individuals on roadsides. Our study further suggests that differences in the surrounding habitats affect which species are found on roadsides, since the increasing coverage of grasslands or forested areas around orchid occurrences had a significant positive effect on the number of grassland or forest‐dwelling species and individuals, respectively. Most variance in orchid numerosity and diversity was explained by the cover of the suitable habitat types of the respective taxa in the surrounding landscape of the sampling points. This highlights the importance of roadsides acting as refugia for numerous species and valuable plant communities as well as in supporting biodiversity in general.     

Robustness of a meta-network to alternative habitat loss scenarios

Studying how habitat loss affects the tolerance of ecological networks to species extinction (i.e. their robustness) is key for our understanding of the influence of human activities on natural ecosystems. With networks typically occurring as local interaction networks interconnected in space (a meta-network), we may ask how the loss of specific habitat fragments affects the overall robustness of the meta-network. To address this question, for an empirical meta-network of plants, herbivores and natural enemies we simulated the removal of habitat fragments in increasing and decreasing order of area, age and connectivity for plant extinction and the secondary extinction of herbivores, natural enemies and their interactions. Meta-network robustness was characterized as the area under the curve of remnant species or interactions at the end of a fragment removal sequence. To pinpoint the effects of fragment area, age and connectivity, respectively, we compared the observed robustness for each removal scenario against that of a random sequence. The meta-network was more robust to the loss of old (i.e. long-fragmented), large, connected fragments than of young (i.e. recently fragmented), small, isolated fragments. Thus, young, small, isolated fragments may be particularly important to the conservation of species and interactions, while contrary to our expectations larger, more connected fragments contribute little to meta-network robustness. Our findings highlight the importance of young, small, isolated fragments as sources of species and interactions unique to the regional level. These effects may largely result from an unpaid extinction debt, whereby younger fragments are likely to lose species over time. Yet, there may also be more long-lasting effects from cultivated lands (e.g. water, fertilizers and restricted cattle grazing) and network complexity in small, isolated fragments. Such fragments may sustain important biological diversity in fragmented landscapes, but maintaining their conservation value may depend on adequate restoration strategies.     

Inconsistent detection of extinction debts using different methods

The extinction debt, delayed species extinctions following landscape degradation, is a widely discussed concept. But a consensus about the prevalence of extinctions debts is hindered by a multiplicity of methods and a lack of comparisons among habitats. We applied three contrasting species–area relationship methods to test for plant community extinction debts in three habitats which had different degradation histories over the last century: calcareous grassland, heathland and woodland. These methods differ in their data requirements, with the first two using information on past and current habitat area alongside current species richness, whilst the last method also requires data on past species richness. The most data‐intensive, and hence arguably most reliable method, identified extinction debts across all habitats for specialist species, whilst the other methods did not. All methods detected an extinction debt in calcareous grassland, which had undergone the most severe degradation. We conclude that some methods failed to detect an extinction debt, particularly in habitats that have undergone moderate degradation. Data on past species numbers are required for the most reliable method; as such data are rare, extinction debts may be under‐reported.     

The use and misuse of regression models in landscape genetic analyses

The field of landscape genetics has been rapidly evolving, adopting and adapting analytical frameworks to address research questions. Current studies are increasingly using regression‐based frameworks to infer the individual contributions of landscape and habitat variables on genetic differentiation. This paper outlines appropriate and inappropriate uses of multiple regression for these purposes, and demonstrates through simulation the limitations of different analytical frameworks for making correct inference. Of particular concern are recent studies seeking to explain genetic differences by fitting regression models with effective distance variables calculated independently on separate landscape resistance surfaces. When moving across the landscape, organisms cannot respond independently and uniquely to habitat and landscape features. Analyses seeking to understand how landscape features affect gene flow should model a single conductance or resistance surface as a parameterized function of relevant spatial covariates, and estimate the values of these parameters by linking a single set of resistance distances to observed genetic dissimilarity via a loss function. While this loss function may involve a regression‐like step, the associated nuisance parameters are not interpretable in terms of organismal movement and should not be conflated with what is actually of interest: the mapping between spatial covariates and conductance/resistance. The growth and evolution of landscape genetics as a field has been rapid and exciting. It is the goal of this paper to highlight past missteps and demonstrate limitations of current approaches to ensure that future use of regression models will appropriately consider the process being modeled, which will provide clarity to model interpretation.     

Application of plant metabarcoding to identify diverse honeybee pollen forage along an urban–agricultural gradient

Understanding animal foraging ecology requires large sample sizes spanning broad environmental and temporal gradients. For pollinators, this has been hampered by the laborious nature of morphologically identifying pollen. Identifying pollen from urban environments is particularly difficult due to the presence of diverse ornamental species associated with consumer horticulture. Metagenetic pollen analysis represents a potential solution to this issue. Building upon prior laboratory and bioinformatic methods, we applied quantitative multilocus metabarcoding to characterize the foraging ecology of honeybee colonies situated in urban, suburban, mixed suburban–agricultural and rural agricultural sites in central Ohio, USA. In cross‐validating a subset of our metabarcoding results using microscopic palynology, we find strong concordance between the molecular and microscopic methods. Our results suggest that forage from the agricultural site exhibited decreased taxonomic diversity and temporal turnover relative to the urban and suburban sites, though the generalization of this observation will require replication across additional sites and cities. Our work demonstrates the power of honeybees as environmental samplers of floral community composition at large spatial scales, aiding in the distinction of taxa characteristically associated with urban or agricultural land use from those distributed ubiquitously across the sampled landscapes. Observed patterns of high forage diversity and compositional turnover in our more urban sites are likely reflective of the fine‐grain heterogeneity and high beta diversity of urban floral landscapes at the scale of honeybee foraging. This provides guidance for future studies investigating how relationships between urbanization and measures of pollinator health are mediated by variation in floral resource dynamics across landscapes.     

城市小型景观水体CO2与CH4排放特征及影响因素

淡水生态系统被认为是大气温室气体排放的重要来源,尤其在人类活动影响下,其排放强度可能进一步增强。城市小型景观水体是城市生态系统的重要组成,具有面积小、数量大以及人类干扰强的特征,其温室气体排放特征及影响因素尚不清楚。选择重庆市大学城8个景观水体和周边2个自然水体为对象,于2019年1、4、7、10月,利用漂浮箱和顶空法分析了水体CO₂与CH₄的溶存浓度及排放通量,旨在揭示城市小型景观水体CO₂与CH₄排放强度、时空变异特征以及影响因素。结果表明,10个小型水体CO₂、CH₄的溶存浓度范围分别为10.75-116.25 μmol/L和0.09-3.61 μmol/L（均值分别为（47.6±29.3）μmol/L、（1.13±0.56）μmol/L）,均为过饱和状态;漂浮箱法实测的8个景观水体CO₂和CH₄排放通量均值分别为（72.7±65.9）mmol m^-2 d^-1和（2.31±3.48）mmol m^-2 d^-1（顶空法估算值为（69.7±82.0）mmol m^-2 d^-1和（3.69±2.92）mmol m^-2 d^-1）,是2个自然水体的3.5-6.1和2.0-4.5倍,呈较强的CO₂、CH₄排放源;居民区景观水体CO₂和CH₄排放略高于校园区,均显著高于对照的自然水体;CO₂排放夏季最高,秋季次之,冬、春季最低,CH₄呈夏季>秋季≈春季>冬季的季节模式,温度和水体初级生产共同影响CO₂和CH₄排放的季节模式;水生植物分布对景观水体CO₂、CH₄排放有显著影响,有植物分布的水域比无植物水域平均高1.97和2.94倍;漂浮箱法和顶空法测得气体通量线性关系较好,但顶空法测得CO₂通量在春季明显偏低,而CH₄则普遍偏高。相关分析表明,景观水体碳、氮浓度、pH值以及DO等对CO₂排放具有较好的指示性,CH₄排放通量主要与水体中碳、磷浓度有关。城市小型景观水体CO₂、CH₄排放通量远高于大部分已有自然水体的研究结果,呈一种较强的大气温室气体排放源,在区域淡水系统温室气体排放清单中具有重要贡献,未来研究中应给以更多关注。     

城市小型景观水体溶存N2O浓度及排放通量特征

淡水生态系统是大气中N₂O的重要排放源,受到国内外广泛关注。城市小型景观水体作为区域淡水系统的重要组成,具有环境容量小,受人类活动干扰强烈,其N₂O排放特征及影响机制并不清楚。选择重庆大学城8个典型景观水体和2个城市外围的自然水体（对照）作为研究对象,利用顶空法和漂浮箱法对水体溶存N₂O浓度及排放通量进行季节性监测,并通过分析生境特征及水环境特征,探究城市小型景观水体N₂O排放特征及关键影响因素。结果表明：1）小型景观水体TN、NO₃^--N、NH₄⁺-N、NO₂^--N含量总体偏低但变异性极强（变化范围分别为0.31-1.47 mg/L、0.05-0.79 mg/L、0.03-0.14 mg/L、0.00-0.04 mg/L）,硝态氮是主要的氮形态;景观水体氮丰度远高于外围的自然水体;2）10个小型水体N₂O浓度范围为16.51-158.96 nmol/L,平均为（47.60±21.47） nmol/L,均处于过饱和状态;漂浮箱法实测8个景观水体N₂O排放通量均值为（0.13±0.05）mmol m^-2 d^-1,是对照水体的1.3-5.2倍,高于大部分已有研究结果,是大气N₂O的排放热源;3）景观水体N₂O排放通量与水体各形态氮含量呈显著的正相关关系,较高的N负荷和强烈的氮转化过程是导致景观水体成为N₂O排放热源的主要因子,水体N含量可以作为景观水体N₂O排放强度的有效指示因子;同时水生植物分布对水体N₂O排放影响显著,有植物分布的水域比开敞水域高1.4倍;4）漂浮箱法和边界层模型法对小型景观水体N₂O排放通量的监测结果呈较好的线性关系,但不同季节仍存在着一定差异,需要进一步优化模型估算方法;5）水体N₂O排放通量对温度的季节性变化较为敏感,呈夏季最高,春、秋季次之,冬季最低的季节模式。本研究强调,城市小型景观水体具有较高的N₂O排放速率,在区域氮循环及全球淡水系统温室气体排放清单中具有不可忽视的作用,在未来研究中应得到更多关注。     

南水北调中线水源区丹江口市域景观格局变化及氮磷净化能力

丹江口库区是南水北调中线工程重要水源地,通过探究库区景观格局变化与氮磷净化能力,对未来景观规划和生态系统功能提升提供科学依据。在县域尺度上以丹江口市为研究区,运用景观格局指数和InVEST模型研究2003—2018年库区景观格局和氮磷净化能力,并利用Pearson相关分析和RDA分析法探讨二者之间的关系,分析引起氮磷净化能力变化的因素。结果表明:在斑块类型上,水域面积和林地面积不断增加,耕地和园地面积逐渐减少,建设用地面积整体上呈增长趋势;在景观水平上,景观形状指数不断减少,蔓延度指数和聚集度指数整体呈增长趋势,形状复杂程度降低,景观聚集程度提升,散布与并列指数增加了5.58,香农多样性指数变幅较小,各斑块类型趋于规则,呈均衡趋势分布。2003年、2008年、2013年和2018年氮磷净化能力呈持续增强趋势,其中TN输出总量分别为899.224、801.481、776.979、672.149 t, TP输出总量分别为77.308、69.921、68.163、60.802 t, 15年间TN、TP的净化能力分别增强了25.3%和21.4%;对氮磷净化能力重要性等级划分表明,极重要、高度重要区主要分布于库区、河流两岸和林地区域。利用Pearson相关分析和RDA分析法表明,在斑块类型上林地与氮磷的输出呈显著负相关,耕地、园地和建设用地与氮磷输出量呈正相关;在景观水平上氮磷输出量与景观形状指数呈显著正相关,和散布与并列指数表现出显著负相关,与蔓延度指数、聚集度指数呈负相关。因此,可在库区氮磷输出量较高的地区种植喜氮喜磷植物,通过调节景观格局结构,合理规划土地利用,增加林地面积,建设河岸植被缓冲带充分滞缓径流等一系列措施,充分保障库区水源水质安全。     

深圳近海公园植物群落结构特征及其与景观格局的相关性

城市公园植物群落为城市生态系统提供重要的生态服务。对深圳最具代表性的6个近海城市公园进行实地调查,同时结合高分辨率的遥感图像,分析其植物群落结构特征及其与公园内部景观格局的相关关系。结果表明：（1）共调查到近海公园植物108科310属471种,其中乡土植物82科169属231种。草本植物中乡土植物比例较高,而木本中乡土植物占比较低。（2）TS-4和H-1分别是近海公园最常见的乔灌群落类型和草本群落类型,其样地量分别占总量的39%和26%。常见群落的指示种多数具有热带性质并占据主体地位。（3）公园中灌木植物种数低于乔木和草本植物,但群落稳定性较高。（4）半自然型和人工型近海公园各类植物的相似性,以灌木层植物最低。（5）公园整体景观格局中,斑块密度与林地面积比、林地最大斑块面积比呈显著负相关（P<0.05）。（6）各层植物多样性也受到景观格局显著影响：草本层植物多样性与草地、林地的斑块形状复杂程度分别呈显著负相关（P<0.05）;灌木层植物多样性与林地、水体的景观破碎度呈显著负相关（P<0.05）;乔木层植物多样性与草地最大斑块指数呈显著负相关（P<0.05）。公园景观破碎度的增大可能会导致植被景观面积减少。建议在公园植物造景初期就要重视对灌木的运用,尤其是一些生态本底比较脆弱的公园,以提高植物群落的稳定性和低维护性。同时应尽可能保留大面积的核心植被生态斑块,更好地发挥其生态功能。研究结果可为城市公园的规划设计、植物群落的优化配置与城市生物多样性保护提供依据。