Geostatistical approaches and optimal additional sampling schemes for spatial patterns and future sampling of bird diversity

Aim To evaluate geostatistical approaches, namely kriging, co‐kriging and geostatistical simulation, and to develop an optimal sampling design for mapping the spatial patterns of bird diversity, estimating their spatial autocorrelations and selecting additional samples of bird diversity in a 2450 km² basin. Location Taiwan. Methods Kriging, co‐kriging and simulated annealing are applied to estimate and simulate the spatial patterns of bird diversity. In addition, kriging and co‐kriging with a genetic algorithm are used to optimally select further samples to improve the kriging and co‐kriging estimations. The association between bird diversity and elevation, and bird diversity and land cover, is analysed with estimated and simulated maps. Results The Simpson index correlates spatially with the normalized difference vegetation index (NDVI) within the micro‐scale and the macro‐scale in the study basin, but the Shannon diversity index only correlates spatially with NDVI within the micro‐scale. Co‐kriging and simulated annealing simulation accurately simulate the statistical and spatial patterns of bird diversity. The mean estimated diversity and the simulated diversity increase with elevation and decrease with increasing urbanization. The proposed optimal sampling approach selects 43 additional sampling sites with a high spatial estimation variance in bird diversity. Main conclusions Small‐scale variations dominate the total spatial variation of the observed diversity due to a lack of spatial information and insufficient sampling. However, simulations of bird diversity consistently capture the sampling statistics and spatial patterns of the observed bird diversity. The data thus accumulated can be used to understand the spatial patterns of bird diversity associated with different types of land cover and elevation, and to optimize sample selection. Co‐kriging combined with a genetic algorithm yields additional optimal sampling sites, which can be used to augment existing sampling points in future studies of bird diversity.     

黑角直缘跳甲幼虫空间分布型及抽样技术的研究

通过运用二种回归方法和六种聚集度指标对黑角直缘跳甲幼虫的空间格局和抽样技术进行了研究。所有的指标表明黑角直缘跳甲幼虫在林间呈聚集分布,分布的基本成分是个体群,且个体间相互吸引。在空间分布型研究的基础上提出了理论抽样数和序贯抽样方案。通过不同抽样方式的精确度比较,表明对角线抽样方式最佳。     

Analysis of spatial patterns informs community assembly and sampling requirements for Collembola in forest soils

The relative importance of niche separation, non-equilibrial and neutral models of community assembly has been a theme in community ecology for many decades with none appearing to be applicable under all circumstances. In this study, Collembola species abundances were recorded over eleven consecutive years in a spatially explicit grid and used to examine (i) whether observed beta diversity differed from that expected under conditions of neutrality, (ii) whether sampling points differed in their relative contributions to overall beta diversity, and (iii) the number of samples required to provide comparable estimates of species richness across three forest sites. Neutrality could not be rejected for 26 of the forest by year combinations. However, there is a trend toward greater structure in the oldest forest, where beta diversity was greater than predicted by neutrality on five of the eleven sampling dates. The lack of difference in individual- and sample-based rarefaction curves also suggests randomness in the system at this particular scale of investigation. It seems that Collembola communities are not spatially aggregated and assembly is driven primarily by neutral processes particularly in the younger two sites. Whether this finding is due to small sample size or unaccounted for environmental variables cannot be determined. Variability between dates and sites illustrates the potential of drawing incorrect conclusions if data are collected at a single site and a single point in time.     

小菜蛾幼虫空间格局的地统计学分析

应用地统计学方法分析了小菜蛾Plutellaxylostella (L .)幼虫空间格局 ,建立了东西和南北 2个方向上多个半变异函数曲线模型。结果表明 ,在菜花 (Brassicaolenaceavar.botrylis)和早甘蓝 (Brassisaoleracea)地中小菜蛾幼虫种群的半变异函数曲线皆为球形 ,其空间格局为聚集型 ;小菜蛾幼虫在菜花上和在早甘蓝上的空间变程分别为 0 62～ 1 5 9m和 2 47～ 5 98m ,空间不连续性强度分别为 0 8779～0 9999和 0 862 1～ 0 91 2 4。     

拉缘蝽空间格局及抽样技术的研究

拉缘蝽空间格局测定结果表明,拉缘蝽的1—3龄若虫、4—5龄若虫和成虫等各虫态的空间格局均属于聚集分布,拉缘蝽1—3龄若虫聚集度最高,4—5龄若虫聚集度下降,成虫聚集度更低。在拉缘蝽空间格局的基础上,确定了Kuno风险决策序贯抽样表和1wao—Kuno（1968）理论抽样数。     

桃潜叶蛾在桃园的空间分布型和取样技术研究

应用聚集度指标法、Iwao回归分析和频次比较法．研究了桃树重要害虫桃潜叶蛾成虫的空间分布型。结果表明桃潜叶蛾成虫在桃园呈负二项分布,分析提出了该害虫适宜的调查抽样方法。     

萧氏松茎象幼虫的空间分布型和抽样技术

萧氏松茎象Hylobitelus xiaoi Zhang是我国近年来发现的危害松林的新害虫。该文利用1wao等7种方法对萧氏松茎象幼虫的空间分布型进行了测定。结果表明,萧氏松茎象幼虫在林间呈聚集分布,且符合负二项分布,由此得出了林间理论抽样数公式,其抽样方式以对角线最佳;其有虫株率与平均虫口密度之间的关系可用冥函数曲线方程：Y=2．916X^0.887来进行描述。     

玉米田斜纹夜蛾空间分布型及抽样技术

对秋甜玉米田的斜纹夜蛾不同发生密度田块调查 ,取得了 7组样本资料 ,运用聚集度指标法、Iwao法和Taylor法等对其空间分布型进行测定检验 ,结果表明斜纹夜蛾幼虫呈聚集分布 ,其聚集原因经Blackith种群聚集均数测定 ,当m <3 .2 60 4时 ,其聚集是由于某些环境如气侯、土壤湿度、植株生长状况等所致 ;当m >3 .2 60 4时 ,其聚集是由于害虫本身的群集行为与环境条件综合影响所致。在此基础上 ,通过几种抽样方式比较以五点式为最佳 ,并提出了最佳理论抽样数和最佳序贯抽样模型 :N =1 D2 (3 .8981 m +0 .75 0 3 ) ,To(n) =0 .5n± 2 .865n。     

Assessing spatial patterns and density of a dolphin population through signature whistles

Some dolphin species produce signature whistles, which may allow the identification of individual dolphins using passive acoustic monitoring (PAM). Identifying individuals by their sounds may enhance the opportunities for monitoring and addressing biological and ecological questions about these species. Here, we explored the potential of signature whistles to investigate ecological aspects of a resident bottlenose dolphin population. Using a limited data set, with few individuals recognized by signature whistles, combined with spatial capture-recapture (SCR) methods, we investigated how effective such approach is describing spatial use patterns and estimating density for this population. The data were collected using 4–6 stationary bottom-moored recorders. Since only eight signature whistles were identified, our density estimate may represent a subset of the entire population. However, even with only a few signature whistles identified, our results confirmed the center of the core area used by these dolphins as the area with the highest encounter probability. In addition, our results provided evidence that these dolphins have the same spatial use pattern at night as during the day. This study shows that SCR analysis of signature whistle data can improve our ecological knowledge and understanding of dolphin populations.     

北京地区红脂大小蠹空间分布型与抽样技术研究

对北京地区红脂大小蠹Dendroctonus valens LeConte空间分布型进行了研究。结果表明红脂大小蠹成聚集分布,其聚集原因是由红脂大小蠹本身的聚集行为或聚集行为与环境的异质性共同作用引起。同时,应用Iwao统计方法,提出了最适理论抽样数和最佳序贯抽样模型。     

三叶斑潜蝇幼虫种群空间格局及抽样技术研究

三叶斑潜蝇Liriomyza trifolii是我国重要的园艺及蔬菜害虫,研究三叶斑潜蝇种群的空间格局和抽样技术,可为该虫的危害调查与防治提供理论依据。应用Iwao m*-m回归分析法、Taylor的幂法则及6个聚集指标,对三叶斑潜蝇幼虫在番茄和豇豆上的空间分布型和抽样技术进行了研究,并做了影响因素分析。结果表明:三叶斑潜蝇幼虫在番茄和豇豆上均呈聚集分布,分布的基本成分是以个体群形式存在,通过分布型参数,采用Kc法、Iwao法及Taylor幂法计算出了在不同精度下三叶斑潜蝇田间的理论抽样数。     

喀斯特常绿落叶阔叶林个体死亡对空间格局及种间关联性的影响

树木死亡作为森林生态系统中一个重要的生态学过程,研究其如何影响物种的空间分布格局及种间关联性,可以为揭示树木死亡机制及群落动态变化规律提供重要参考。本研究根据木论25 hm²喀斯特常绿落叶阔叶林动态监测样地两次木本植物调查数据,采用点格局分析方法,分析了树木死亡前后空间格局和种间关系的变化。结果表明: 样地内个体死亡前后主要表现为聚集分布,但死亡后聚集分布的物种比例较死亡前略微下降,小尺度上呈现随机分布的物种比例有所增加,个体的死亡呈非随机性死亡。在物种水平上,13个优势种的死树和活树之间在0～30 m各尺度上呈显著正关联,表明样地内优势物种个体之间种内和种间竞争作用不激烈;树木死亡前后种间关联性主要为正关联,且大部分物种种间关系在死亡前后并未发生变化,表明群落已发展到相对稳定的阶段;死亡后,在1～30 m尺度上表现为正关联的物种对比例有所增加,负关联和无关联的物种对在大部分尺度上有所减少,说明个体死亡发生后,各个物种之间的竞争压力在一定程度上有所缓解。     

Robustness of close‐kin mark–recapture estimators to dispersal limitation and spatially varying sampling probabilities

1. Close‐kin mark–recapture (CKMR) is a method for estimating abundance and vital rates from kinship relationships observed in genetic samples. CKMR inference only requires animals to be sampled once (e.g., lethally), potentially widening the scope of population‐level inference relative to traditional monitoring programs.
2. One assumption of CKMR is that, conditional on individual covariates like age, all animals have an equal probability of being sampled. However, if genetic data are collected opportunistically (e.g., via hunters or fishers), there is potential for spatial variation in sampling probability that can bias CKMR estimators, particularly when genetically related individuals stay in close proximity.
3. We used individual‐based simulation to investigate consequences of dispersal limitation and spatially biased sampling on performance of naive (nonspatial) CKMR estimators of abundance, fecundity, and adult survival. Population dynamics approximated that of a long‐lived mammal species subject to lethal sampling.
4. Naive CKMR abundance estimators were relatively unbiased when dispersal was unconstrained (i.e., complete mixing) or when sampling was random or subject to moderate levels of spatial variation. When dispersal was limited, extreme variation in spatial sampling probabilities negatively biased abundance estimates. Reproductive schedules and survival were well estimated, except for survival when adults could emigrate out of the sampled area. Incomplete mixing was readily detected using Kolmogorov–Smirnov tests.
5. Although CKMR appears promising for estimating abundance and vital rates with opportunistically collected genetic data, care is needed when dispersal limitation is coupled with spatially biased sampling. Fortunately, incomplete mixing is easily detected with adequate sample sizes. In principle, it is possible to devise and fit spatially explicit CKMR models to avoid bias under dispersal limitation, but development of such models necessitates additional complexity (and possibly additional data). We suggest using simulation studies to examine potential bias and precision of proposed modeling approaches prior to implementing a CKMR program.

     

柑橘全爪螨空间格局与抽样技术的研究

本应用空间分布型统计参数IwaoM-X模型中α,β及6个聚集指标分析了柑橘全爪螨的空间格局,并对抽样技术进行了探讨。结果表明,柑橘全爪螨的空间格局为聚集型;田间的抽样部位是上、中、下三部的叶片。提出了估算柑橘全爪螨在不同虫口密度下的理论抽样数。     

城市绿地空间格局及其环境效应——以宜昌市中心城区为例

城市绿地在改善城市环境及维护城市生态系统平衡中起着极为重要的作用 ,而当绿地覆盖率小于 4 0 %时 ,绿地整体生态效益的发挥主要取决于绿地的内部结构和空间布局 ,但迄今为止缺乏绿地景观分布格局与环境效应关系的研究报道。本研究应用景观生态学原理 ,分析了湖北省宜昌市中心城区斑优格局、斑匀格局、廊道格局和对照格局等四种景观结构及其绿地分布格局 ,选取了气温、相对湿度、环境噪声和大气 SO2 、NOx、TSP含量等环境监测指标 ,观测了不同绿地景观格局下的环境效应 ,并对比分析了绿地分布格局指标与综合环境效应间的关系 ,以便提出城市绿地系统布局合理性指标 ,为城市绿地系统的景观结构优化提供依据。研究结果表明 ,斑优格局、斑匀格局、廊道格局和对照格局等四种不同景观在斑块总面积、建筑斑块面积和无绿化道路面积等景观总体格局上较均衡 ,但由于其绿化覆盖率及绿地景观分布格局差异较大 ,致使其环境效益也表现出明显的差异。其中 ,对照格局景观的绿地斑块总面积最小 ,绿地破碎化指数最高 ,绿化覆盖率仅为 1.0 0 % ,以建筑铺装斑块和无绿化道路廊道为主要景观构成。因此 ,对照格局景观的环境气温较高、空气相对湿度低、环境噪声较大、大气 TSP含量高 ,景观环境恶劣。斑优格局景观主要表现为绿     

思茅松毛虫幼虫空间格局与抽样技术的初步研究

采用聚集度指标法和回归分析法,对思茅松毛虫幼虫在林间的空间格局进行测定,并用刀切法对聚集度指标进行估计和检验,结果表明,思茅松毛虫幼虫在林间呈聚集分布,分布的基本成份为个体群．并计算了林间调查的理论抽样数,列出序贯抽样分析表。     

Effects of sampling time,species richness and observer on the exhaustiveness of plant censuses

Question: How may sampling time affect exhaustiveness of vegetation censuses in interaction with observer effect and quadrat species richness? Location: French lowland forests. Methods: Two data sets comprised of 75 timed, one‐hour censuses of vascular plants carried out by five observers on 24 400‐m² forest quadrats were analysed using mixed‐effect models. Results: The level of exhaustiveness increased in a semi‐logarithmic way with sampling time and decreased with quadrat species richness. After one hour, 20 to 30% of the species remained undetected by single observers. This proportion varied among observers and the discrepancy increased with increasing sampling time. Fixing the sampling time may make richness estimates vary less between observers but the time limit should be at least 30 min to reduce the bias in exhaustiveness between rich and poor quadrats. Conclusions We advocate the use of sampling methods based on spatially or temporally‐replicated censuses and statistical analyses that correct for the lack of census exhaustiveness in vegetation studies.     

基于空间结构调查的林分密度估计

利用林分空间结构抽样调查技术,采用测量抽样点到其第k株最近相邻木的距离(距离法)进行密度估计,分别选取k=4和k=6两种距离调查方法进行分析,并对Prodan、Persson、Thompson 3种不同密度估计方法的预估能力进行检验.结果表明：不同预估方法的预估能力受林木水平分布格局影响.Prodan法在均匀分布的林分中有较强的预估能力,随着分布格局聚集性增加会产生越来越大的偏差;Persson计算法在均匀及随机分布的林分中产生正偏差,但随着分布格局聚集性增加产生的相对误差接近0,预估能力增强;Thompson计算法对随机或接近随机分布的林分有较强的预估能力,而在均匀分布和聚集分布的格局中分别产生正偏差和负偏差.抽样点为49个时,选择6株木与4株木预估能力无显著差异,因此,密度估计可与选取4株相邻木的空间结构参数调查整合在一起.     

杨扇舟蛾卵和幼虫的空间分布型及抽样技术

研究了杨扇舟蛾Clostera anachoreta(Fabricius)卵和幼虫的空间分布型及抽样技术,结果表明杨扇舟蛾卵和幼虫在杨树林的分布型均为聚集型中的负二项分布。几种抽样方法中,卵以棋盘式最好,幼虫以平行线法最好。同时建立了杨扇舟蛾卵的下层抽样模型为y=2.4481x 0.4243;幼虫的中、下层抽样模型为y=2.4605x 3.9126。