城市植物分层随机抽样调查方案设计的方法探讨

调查方案的详细设计是植物调查及数据分析的基础和保证。城市人类活动的干扰使城市植被强烈人工化,城市植物及绿地的独特结构决定其调查方法应该在自然植物调查方法的基础上有所调整,是城市植物研究的重要内容。目前,分层随机抽样调查法是最常用的城市植物调查方法。本文以大量文献和作者在城市植物调查的实践经验为基础,总结了国内外城市植物研究中常用的分层随机抽样调查方法,并对植物分层随机抽样调查方案设计的步骤、方法及注意事项作了系统总结并提出相关建议,综述性归纳了一套城市植物分层随机抽样调查的方案设计方法。本文将调查方案设计的主要内容分为抽样设计、样方设计和调查详细设计三大部分,其中抽样设计主要确定研究区的边界范围、面积、各级分层及辨识标准、各级分层的面积及边界以及取样量的分配方法等;样方设计的主要内容是确定取样单位和样方面积;调查设计则主要涉及具体的调查项目、调查步骤、仪器设备、调查人员分工及调查精度的客观反映标志等。     

莽山后棱蛇的发现及蛇类调查方法改进的建议

笔者1998年参加建国以来第一次全国野生动物调查时,在不违背统一操作规程的原则下,根据南方山区的特点,对适合南方山区的两爬动物调查方法加以探索,重点突出“晚间调查”和采用“拉开距离调查”。晚间调查的发现数明显高于白天。且夜间调查中发现了新种“莽山后棱蛇”及其分布、习性、活动规律等重要资料。说明晚间调查两爬动物是一种重要的方法。1　调查方法原则上采用《湖南省陆生野生动物资源调查与监测技术操作细则》规定的步行调查,样带长度6400ｍ,单侧宽50ｍ,每个样带选择4～6条样线,每条样线长150ｍ。根据地形和山区的实际情况,重点…     

北方冬季有蹄类动物4种数量调查方法的比较

科学的种群数量调查方法的探索一直是困扰北方有蹄类动物种群资源有效管理工作的重要问题。目前,北方野生有蹄类调查所采用的方法主要有样线法、样带法、大样方法和非损伤性CMR法4种。然而,不同的调查方法基于的统计学假设和生态学原理不同,调查结果往往会出现很大差异,迫切需要对北方冬季有蹄类动物的这4 种调查方法的有效性进行评估。以驼鹿种群数量调查为例,采用样线法、样带法、大样方法和非损伤性CMR调查法,于2012年3月和2012年12月对内蒙古汗马国家级自然保护区约120 km²的区域驼鹿种群数量进行了调查和评估。 结果显示,以上4 种方法得到的驼鹿种群数量分别为:样线法168(109-227) 只,样带法237(165-309) 只,大样方法37(23-50) 只,非损伤性CMR法55(43-68) 只,表明样线法和样带法的调查结果远大于大样方法和非损伤性CMR法,并探讨了不同调查方法应用的科学性、限制性和适用性,为北方冬季有蹄类动物种群资源调查方法的选择和应用提供了科学参考。     

北京东灵山地区植物群落多样性研究 Ⅸ.尺度变化对α多样性的影响

具有环境梯度或小尺度生境异质性的群落,α多样性有不同尺度及不同空间位置上的测定结果将存在差异,本文以北京东灵山地区浇叶阔叶为对象,应用样带调查法取样,天空了空间尺度变化对群落α多样性测试的影响。结果表明,１）群落乔木层、灌木层和更新层的Ｓｈａｎｎｏｎ指数在尺度扩大时,呈现出先急剧增长后趋于平稳的规律,显示出一定范围尺度对样带的α多样性具有强烈影响。通过Ｓｈａｎｎｏｎ指数尺度变化曲线的估计,该样带α     

吉林省长白山区野猪种群资源现状调查

于2007年至2009年的两个冬季,采用样带法对长白山区的野猪资源现状进行了调查.根据野猪的生物学特性以及长白山地区的自然环境特征,随机布设样带189条.对样带内野猪活动新鲜足迹链进行记录,并对其它痕迹进行综合分析,转化成实体数,计算样带密度,运用DPS7.05软件进行统计分析,求出吉林省东部长白山区野猪的种群数量,结...     

河流生物栖息地调查及评估方法

河流生物栖息地的研究是河流生态修复和流域环境管理的重要基础.本文概述了河流生物栖息地的分类、调查方法（包括调查范围、采样密度、采样季节和数据记录方式）以及调查数据处理等;并从物种与栖息地适宜性关系的角度出发,对目前国际上主要的栖息地评估方法（评估模型）的应用特点和应用范围进行了评述;最后,在探讨发达国家关于栖息地研究现状的基础上,提出了我国河流治理应从生物栖息地角度出发进行生态恢复建设.     

入侵性害虫——苹果绵蚜田间种群数量的调查方法

2007年6月中旬到10底在山东省莱阳市对苹果绵蚜Eriosoma lanigerum(Hausmann)的田间发生数量进行调查研究。在田间定点调查5株苹果树上苹果绵蚜虫落数量和虫落面积,并在其它苹果树上随机选择20个虫落,计数每个虫落中苹果绵蚜的活体数,从而计算单位面积虫落中苹果绵蚜的平均数量。分析指出,以计算法求得的虫落中苹果绵蚜的实际数量为指标,既考虑了苹果绵蚜虫落的数量和大小,也考虑了单位面积虫落中苹果绵蚜活体数,并且把被苹果绵蚜蚜小蜂寄生的僵蚜排除在外,能较客观地反映出田间实际情况,是一种比较准确的表示苹果绵蚜田间数量的方法。     

金针虫调查方法及评价

金针虫是一类重要的地下害虫,其种群数量调查是植物保护工作中的难点之一。文章概述金针虫种群数量调查的3种主要方法:土方抽样、诱饵诱捕及成虫性信息素诱捕。就其调查原理、特点及研究现状进行了介绍,并对各方法的不足及应用前景做了简要分析。     

用距离取样技术估算森林生境中的梅花鹿密度

作者于 1999年 9、 10月在日本国日光国立公园的一个梅花鹿 (Cervusnippon)高密度区域实施了 16次夜间探照样带距离法取样调查。采用车载探照记数和激光测距仪测距 ,记录了梅花鹿的结群大小和距样带中心样线的垂直距离。应用距离取样技术 (Distancesamplingtechnique ,DST)计算的结果表明 ,梅花鹿的密度为12 5 8头 /km2 (95%CI 10 0 7-157 3 ) ,在两侧 80m宽度的调查样带内梅花鹿的总发现率为 52 5% ;对线样带法的传统动物密度计算方法 (King s ,Hayne s ,Leopold s ,Gates sⅠ ,Gates sⅡ ,Gates sⅢ和Frye s方法 )的结果验证表明 ,这些传统密度计算方法过高估算梅花鹿的密度 ,其结果为距离取样技术 (DST)计算结果的 1 76(Frye′s法 ) -6 10 (Hayne′s法 )倍。因此 ,作者建议在使用线样带法测定动物密度时应尽量避免使用这些传统计算方法 ;不同地区间及同一地区不同季节间应用线样带法调查得到的动物个体记数值之间的比较存在偏差 ,应该使用距离取样技术计算动物的密度     

土壤养分循环实地采样调查方法

讨论了一种在区域尺度上研究生态系统中土壤养分循环的样区采样及调查方法.即在满足土壤养分循环研究所要求的代表性、重现性、随机性及时间性等原则的基础上,利用地形图及航空照片等资料,在区域中选定合适面积和数量的样区后,在各样区内按统一标准采集土壤和植物样品.考虑区域土壤养分循环受自然环境条件和社会经济条件等因素的制约,野外采样过程中有必要对采样单元的实地情况进行调查记载,并就样区内所有农户的基本状况、种植业结构及肥料投入等有关土壤养分循环的影响因子进行农户调查.对我国亚热带农业生态系统中土壤养分循环进行了案例研究,探讨了该采样调查方法在土壤养分循环研究中的应用.     

Evaluation of an Aerial Survey to Estimate Abundance of Wintering Ducks in Mississippi

Abstract: Researchers have successfully designed aerial surveys that provided precise estimates of wintering populations of ducks over large physiographic regions, yet few conservation agencies have adopted these probability-based sampling designs for their surveys. We designed and evaluated an aerial survey to estimate abundance of wintering mallards (Anas platyrhynchos), dabbling ducks (tribe Anatini) other than mallards, diving ducks (tribes Aythini, Mergini, and Oxyurini), and total ducks in western Mississippi, USA. We used design-based sampling of fixed width transects to estimate population indices (Ǐ), and we used model-based methods to correct population indices for visibility bias and estimate population abundance (Ň) for 14 surveys during winters 2002–2004. Correcting for bias increased estimates of mallards, other dabbling ducks, and diving ducks by an average of 40–48% among all surveys and contributed 48–61% of the estimated variance of Ň. However, mean-squared errors were consistently less for Ň than Ǐ. Estimates of Ň met our goals for precision (CV ≤ 15%) in 7 of 14 surveys for mallards, 5 surveys for other dabbling ducks, no surveys for diving ducks, and 10 surveys for total ducks. Generally, we estimated more mallards and other dabbling ducks in mid- and late winter (Jan-Feb) than early winter (Nov-Dec) and determined that population indices from the late 1980s were nearly 3 times greater than those from our study. We developed a method to display relative densities of ducks spatially as an additional application of survey data. Our study advanced methods of estimating abundance of wintering waterfowl, and we recommend this design for continued monitoring of wintering ducks in western Mississippi and similar physiographic regions.     

Comparison of survey methods for wintering grassland birds

ABSTRACT Although investigators have evaluated the efficacy of survey methods for assessing densities of breeding birds, few comparisons have been made of survey methods for wintering birds, especially in grasslands. In winter, social behavior and spatial distributions often differ from those in the breeding season. We evaluated the degree of correspondence between density estimates based on different survey methods. Surveys were conducted during two winters (2001–2002 and 2002–2003) on 16 grassland sites in southwestern Oklahoma. Line‐transect (using a detection function to account for birds present but not detected) and area‐search (where density was based on the total count within a given area) methods were employed. Observations on line transects were also analyzed as strip transects, where density was based on total count within a given strip width and no detection function was used. Savannah Sparrows (Passerculus sandwichensis), LeConte's Sparrows (Ammodramus leconteii), Song Sparrows (Melospiza melodia), Smith's Longspurs (Calcarius pictus), Chestnut‐collared Longspurs (C. ornatus), and Eastern Meadowlarks (Sturnella magna) were sufficiently abundant to allow comparison. Area‐search density estimates tended to be higher than line‐transect estimates for Savannah Sparrows, Song Sparrows, and Eastern Meadowlarks, suggesting that some individuals initially located close to the transect line were not detected on line transects. The area‐search and line‐transect methods gave similar density estimates for Chestnut‐collared and Smith's longspurs. Area‐search estimates of Eastern Meadowlarks were significantly higher in the second year of the study only. For this species, area‐search estimates did not differ from those of strip transects covering an equal area, so the reason for the differing meadowlark estimates is not clear. Higher density estimates using the area‐search method likely resulted from: (1) birds that might escape detection by hiding were more likely detected (flushed) during area searches because of the repeated passes through the area, and (2) birds close to the line in line transects escape detection by hiding, biasing those estimates low. We also evaluated the correspondence of density rankings for the six species as determined by the different survey methods and for the same species across survey sites. Correlations among the six species of the area‐search results with those of line transects and strip transects generally were high, increasing in 2002–2003 when densities of birds were greater. All three methods provided similar density rankings among species. Density rankings within species across sites for the four non‐longspur species generally were concordant for the three methods, suggesting that any of them will adequately reflect among‐site differences, especially when densities vary greatly across sites. Further research is needed to determine the extent to which grassland birds are missed on line transects. We suggest that workers using line transects to study these species give careful consideration and make additional efforts to satisfy the distance‐sampling assumption that all birds on or near the line are detected. If density is measured as a total count in a fixed area, we recommend that observers pass within <10 m of all points in the area.     

基于地面调查与遥感调查协同的城市绿地规模和分布研究——以青岛市为例

城市绿地调查作为园林绿化规划建设管理的基础工作，其数据准确程度直接影响着城市园林绿化的科学发展。提出了基于遥感调查与地面调查协同的城市绿地调查的技术方法，通过该方法获得数据与单独使用遥感调查或地面调查技术获得数据相比提升了城市绿地，尤其是公园绿地和附属绿地调查的时效性和准确性，为城市绿地调查提供了可操作的技术方法。     

Enhancing estimation methods for integrating probability and nonprobability survey samples with machine-learning techniques. An application to a Survey on the impact of the COVID-19 pandemic in Spain

Web surveys have replaced Face-to-Face and computer assisted telephone interviewing (CATI) as the main mode of data collection in most countries. This trend was reinforced as a consequence of COVID-19 pandemic-related restrictions. However, this mode still faces significant limitations in obtaining probability-based samples of the general population. For this reason, most web surveys rely on nonprobability survey designs. Whereas probability-based designs continue to be the gold standard in survey sampling, nonprobability web surveys may still prove useful in some situations. For instance, when small subpopulations are the group under study and probability sampling is unlikely to meet sample size requirements, complementing a small probability sample with a larger nonprobability one may improve the efficiency of the estimates. Nonprobability samples may also be designed as a mean for compensating for known biases in probability-based web survey samples by purposely targeting respondent profiles that tend to be underrepresented in these surveys. This is the case in the Survey on the impact of the COVID-19 pandemic in Spain (ESPACOV) that motivates this paper. In this paper, we propose a methodology for combining probability and nonprobability web-based survey samples with the help of machine-learning techniques. We then assess the efficiency of the resulting estimates by comparing them with other strategies that have been used before. Our simulation study and the application of the proposed estimation method to the second wave of the ESPACOV Survey allow us to conclude that this is the best option for reducing the biases observed in our data.     

Parameter Estimation in Stratified Cluster Sampling under Randomized Response Models for Sensitive Question Survey

Randomized response is a research method to get accurate answers to sensitive questions in structured sample survey. Simple random sampling is widely used in surveys of sensitive questions but hard to apply on large targeted populations. On the other side, more sophisticated sampling regimes and corresponding formulas are seldom employed to sensitive question surveys. In this work, we developed a series of formulas for parameter estimation in cluster sampling and stratified cluster sampling under two kinds of randomized response models by using classic sampling theories and total probability formulas. The performances of the sampling methods and formulas in the survey of premarital sex and cheating on exams at Soochow University were also provided. The reliability of the survey methods and formulas for sensitive question survey was found to be high.     

Searching for a Needle in a Haystack: Evaluating Survey Methods for Non-indigenous Plant Species

The control and management of non-indigenous plant species (NIS) can be conceptually divided into three phases: inventory/survey, monitoring and management. Here we focus on phase one, determining which species are present and where they are located within the environment. Sampling for NIS is inherently time-consuming and thus costly. Many management areas are large and therefore can only be surveyed (partial observation of the total area by sampling) and not inventoried (total observation of area). Survey data should reflect the spatial distribution of the target species populations over the landscape. Such data can then be used in combination with environmental data, to create probability maps of target species occurrence for the entire area of interest. We used a GIS model to evaluate seven different survey methods for consistency and reliability of intersecting NIS species’ patches and producing samples which reflect the spatial distribution of the population, and which can be performed in a cost and time-efficient manner. The GIS model was developed to create NIS populations which were then sampled using the different survey methods, and the results recorded. To improve the applicability of the model, four patch sizes and levels of occurrence were used, along with random and weighted distribution patterns in relation to patch proximity to roads and trails. Grid and random points, and targeted (stratified continuous) transects (starting on a road or trail (rights of way (RoW)) and finishing 2 km from any RoW) methods provided the most consistent samples of the population. Logistically, point methods required an unrealistic distance and time commitment in comparison with transect methods. The importance of collecting information on the size of NIS patches was demonstrated as more small patches were intersected than larger ones when the area infested was held constant. Thus, if frequency of patches is used to explain the results of a survey then comparisons between species and methods are difficult to interpret thus leading to erroneous conclusions. However, use of percentage of area infested estimates provides for easier comparison between species and sample methods. The targeted transect method provided the most reliable, efficient and consistent sample with the expected spatial distribution.     

Using sample aerial surveys to estimate the abundance of the endangered Grevy’s zebra in northern Kenya

The effective management of endangered mammals requires reliable estimates of population size. This is challenging for species such as Grevy’s zebra (Equus grevyi) that are distributed over large areas at low densities. Less than 2500 Grevy’s zebra remain in the wild, scattered across 85,000 km² of savannah in northern Kenya and Ethiopia. An efficient, accurate and repeatable survey method is required to guide conservation planning for the species. Currently, total aerial counts are used to census endangered species within Kenya, but are costly in terms of resources. In this study, we evaluated the suitability of sample survey methods for Grevy’s zebra. We estimated population size using sample aerial counts for a known population of Grevy’s zebra in Lewa Wildlife Conservancy (LWC), providing the opportunity to test the accuracy of sample methods, while comparing resource costs with total count methods. We sampled one‐third of LWC using parallel 500‐ m strip transects at 1500‐ m intervals. The population estimate was comparable to the known population size and was less than half as expensive as the equivalent total count survey. Our results suggest sample aerial surveys provide an accurate and cost‐effective means of monitoring Grevy’s zebra and other endangered species in open habitats.     

ESTIMATES OF SPERM WHALE ABUNDANCE IN THE NORTHEASTERN TEMPERATE PACIFIC FROM A COMBINED ACOUSTIC AND VISUAL SURVEY

We estimate the abundance of sperm whales in a 7.8 million km² study area in the eastern temperate North Pacific using data from a ship-based acoustic and visual line-transect survey in spring 1997. Sperm whales were detected acoustically using a hydrophone array towed at 15 km/h and 100 m depth. The hydrophone array was towed for 14,500 km, and locations were estimated acoustically for 45 distinct sperm whale groups. Whales producing slow clicks (>2-s period) were detected at greater distance (up to 37 km), and the estimation of effective strip widths was stratified based on initial click period. Visual survey effort (using 25° binoculars and naked eyes) covered 8,100 km in Beaufort sea states 0–5 and resulted in only eight sightings. The effective strip width for visual detections was estimated from previous surveys conducted using the same methods and similar vessels in the eastern Pacific. Estimated sperm whale abundance in the study area was not significantly different between acoustic (32,100, CV = 0.36) and visual (26,300, CV = 0.81) detection methods. Acoustic techniques substantially increased the number of sperm whales detected on this line-transect survey by increasing the range of detection and allowing nighttime surveys; however, visual observations were necessary for estimating group size.     

An evaluation of the gradsect biological survey method

Biological surveys are necessary to gather species distribution data for the identification of priority conservation areas. The rationale of the gradsect method is that sampling (transects) oriented along the steepest environmental gradient should detect the maximum number of species in an area. The efficiency of the gradsect survey method was evaluated by comparing it to random, systematic and habitat-specific survey methods, during faunal field surveys (target groups: birds and dung beetles). Three gradsects were positioned within the study area to follow the major physiographical characteristics, incorporate all environmental strata (land facets) and yet be as logistically convenient as possible. The efficiency of survey methods was expressed as the number of species recorded per sampling unit effort and illustrated using bootstrap estimations to plot species accumulation curves. The gradsect method proved to be as efficient as the habitat-specific survey method and consiste ntly more efficient than the systematic and random surveys for both taxa sampled. The present study therefore illustrates that the gradsect survey method provides a cost-effective and swift representative sample of regional fauna. Moreover, the results indicate that land-form sequences, specifically land facets, are useful surrogates when sampling environmental diversity where distinct environmental gradients such as altitude and rainfall are absent.