长尾雉的地理分布及其系统关系的初步分析

全世界共有长尾雉５种,其中白颈长尾雉分布于浙江、安徽、福建、江西、湖北、湖南、广东、广西和贵州等９省;黑颈长尾雉分布于广西和云南,国外还分布于泰国、缅甸和印度等地;白冠长尾雉分布于河北、安徽、河南、湖北、湖南、四川、贵州、云南、陕西和甘肃等１０省;黑长尾雉分布于台湾省;铜长尾雉分布于日本．长尾雉的起源中心可能在武陵山脉,并有可能先分化出白颈长尾雉祖种和白冠长尾雉祖种;黑长尾雉、黑颈长尾雉和白颈长尾雉可能由白颈长尾雉祖种分衍产生;铜长尾雉和白冠长尾雉可能由白冠长尾雉祖种分衍产生．     

利用红外相机研究白冠长尾雉日活动节律与人为干扰的关系

白冠长尾雉(Syrmaticus reevesii)为我国特有珍稀濒危鸟类, 其面临的人为干扰压力日趋严重。为更好地了解白冠长尾雉对不同人为干扰强度的响应, 我们于2018年3月至2019年4月, 在其东部分布区的河南连康山国家级自然保护区(连康山)、湖北中华山鸟类省级自然保护区(中华山)和湖北平靖关村及三潭风景名胜区(平靖关), 利用红外相机技术研究了其日活动节律, 并借助重叠系数测算了其与人为干扰在时间上的重叠程度以及与人为干扰之间的关系。结果表明, 连康山的人为干扰强度最高, 而中华山和平靖关的人为干扰强度接近且均低于连康山。雄性白冠长尾雉繁殖期和非繁殖期的日活动节律在三地之间的差异均不显著; 雌性白冠长尾雉繁殖期日活动节律在平靖关与连康山之间存在显著差异, 而非繁殖期日活动节律在中华山与连康山之间、平靖关与连康山之间均存在显著差异。各地白冠长尾雉日活动高峰和人为干扰出现的高峰也存在差异, 呈现出较为明显的错峰活动现象, 其中在人为干扰最强的连康山, 白冠长尾雉的活动与人为干扰的重叠程度最低。这些结果表明白冠长尾雉的日活动节律可能受人为干扰的影响, 且在行为方面表现出一定的可塑性, 它们可以通过调整日活动节律来适应人为干扰。     

白冠长尾雉的生态

白冠长尾雉(Syrmaticus reevesii)是我国的特产珍贵禽鸟之一。我们于1974年4月—1978年4月,在贵州各地对白冠长尾雉的生态,进行了初步的观察,现报道如下。 (一)栖息地 白冠长尾雉是一种林栖鸟类,生活多在海拔400—1,300米的山区。喜在靠近农田附近较为茂密的林中。多栖于由枫     

山西历山自然保护区的雉类

１９９０－１９９４年在山西历山国家级自然保护区对雉科鸟类进行了调查研究，已知本区现有本科鸟类七属、七种。其中雉鸡，勺鸡种群数量高，地理分布广；血雉，白冠长尾雉以往文献有记载，但本次调查尚未发现。除斑翅山鹑为冬候鸟外，其余均为留鸟。近年来雉鸡资源遭严重破坏，种群数量日益减少，应制止破坏雉鸡资源的行为。     

四月在董寨——白冠长尾雉保护区植物记略

董寨自然保护区位于大别山北坡豫鄂交界,与鸡公山比邻;保护区之所以为保护区,是因为董寨植被繁茂,是野生动物栖息的理想所在,其中尤以鸟类为甚,而在董寨的受保护鸟类中,最为知名的非国家二级保护动物——白冠长尾雉莫数。四月的董寨早已春暖花开,放眼望去,山林一片幽绿之色,我们来到位于河南省信阳市罗山县的白云保护站,走马观花,在白冠长尾雉栖息的山林中,     

基于物种分布的森林生态系统类型自然保护区功能区划评价——以河南连康山国家级自然保护区为例

森林生态系统类型自然保护区是我国最主要的自然保护区类型,该类型自然保护区通常具有复杂多样的保护对象,因此对其进行功能区划需全面考虑各种保护对象的需求。评价森林生态系统类型的自然保护区功能区划有利于提高自然保护区的保护有效性。以属于森林生态系统类型自然保护区的河南连康山国家级自然保护区功能区划为研究对象,于2016年12月至2018年12月在该自然保护区内进行样线和红外相机调查,获取白冠长尾雉及与白冠长尾雉存在种间相互作用物种的分布点数据,结合收集的环境数据,采用MaxEnt模型对白冠长尾雉（Syrmaticus reevesii）和与白冠长尾雉存在种间相互作用物种的分布进行预测,进而分析物种与该自然保护区功能区划的空间关系,及自然保护区内野生动物分布与人为干扰强度的空间关系,评估连康山国家级自然保护区现有功能区划对白冠长尾雉和与白冠长尾雉存在种间相互作用物种的保护有效性。结果表明,保护区内高保护价值区域面积为33.84 km²,核心区、缓冲区和实验区内高保护价值区域面积分别占保护区总面积的18.96%、3.84%和9.19%,自然保护区内高保护价值区域面积比例偏低。保护区现有功能区划并不能充分满足保护白冠长尾雉栖息地的需要,且核心区、缓冲区和实验区面临不同程度的人为干扰的影响,这对保护区内重点保护对象的生存产生潜在威胁。因此,结合保护区内保护价值与人为干扰分布现状,针对白冠长尾雉及相关物种的受胁情况提出两种不同的保护区功能区划优化方案,在不降低连康山国家级自然保护区面积的前提下,提高核心保护区白冠长尾雉及相关物种适宜栖息地面积的比例,同时降低保护区内人为干扰强度。本研究可为该保护区保护白冠长尾雉提供决策依据,并为其他以野生动物为保护目标的保护区功能区划优化提供指导方法。     

人为干扰对白冠长尾雉的活动区面积和栖息地利用的影响

人类活动会改变地区原始的生态环境，对当地动物种群的空间利用产生影响。因此，了解人为干扰条件下濒危物种对空间的利用情况有助于更好地进行保护。活动区和栖息地利用是对动物空间需求最好的度量，掌握这些信息对有效保护鸟类具有重要意义。本研究于2020和2021年对湖北省广水市平靖关村周边的白冠长尾雉(Syrmaticus reevesii)进行追踪，获得了47组白冠长尾雉的活动区面积和栖息地利用信息。将实际栖息地利用率的置信区间与理论利用率相比得到白冠长尾雉对栖息地的偏好，并采用广义线性混合模型对栖息地利用率和活动区面积的影响因素进行逐步剔除分析。结果发现，该地区白冠长尾雉主要利用针阔混交林、落叶阔叶林和灌木林，但按照干扰强度划分后，低干扰区的白冠长尾雉只倾向于利用针阔混交林。雄性个体对落叶阔叶林的利用率与居民点的距离呈负相关关系，低干扰区雌性个体对落叶阔叶林的利用率与居民点距离呈反比，而对针阔混交林利用率与居民点距离呈正相关，雌性个体在高干扰区对针阔混交林的利用率随居民点和农田距离的增大而增大；活动区面积方面，雌性的面积显著大于雄性，并且在高干扰区活动区面积与居民点距离呈负相关。以上研究结果提供了有关地栖性森林鸟类在人类主导的环境中的活动区及栖息地利用的响应，为地栖性森林鸟类的保护工作提供了一定的科学依据。     

白冠长尾雉(Syrmaticus reevesii)在贵州的分布与数量

白冠长尾雉(Syrmaticus reevesii)是我国的珍禽,分布于河北北部和西部、山西、陕西南部、湖北、湖南西北、贵州北部、河南西部、安徽西部及四川东部(郑作新,1978);还发现于甘肃南部的康县(刘乃发,1982)。1974—1982年,在贵州鸟类区系调查时,对于白冠长尾雉的分布、生态及数量曾作过初步研究,复于1983—1985年间,对它的生态生物学进行专门研究。本文仅就它在贵州省的分布和数量予以报道。     

河南董寨白冠长尾雉繁殖期栖息地选择

2001年至2003年春季,采用样线调查和媒鸟招引,在河南董寨国家级自然保护区对我国特有珍稀雉类白冠长尾雉（Syrmaticus reevesii）的栖息地选择进行了调查,结合RS和GIS分析了在景观水平上对栖息地的选择性,并借助逐步逻辑斯谛回归分析了影响繁殖期白冠长尾雉栖息地的关键尺度和主要因素。结果表明,在白云保护站,占区雄性白冠长尾雉在不同栖息地类型中的出现频率不同,出现最多的是混交林,其次是杉木林,随后是松林、灌丛、阔叶林;在董寨自然保护区内,在115 m尺度和250 m尺度上,针叶林的面积比例均是影响其栖息地选择的关键因子,而到农田的距离是距离因素中最重要的因素。根据回归分析和AIC_C及ΔAIC_C值,115 m尺度上栖息地变量对白冠长尾雉繁殖期的栖息地选择影响最大。综合分析表明,影响白冠长尾雉繁殖期栖息地选择的主要因子为115 m尺度上针叶林的面积比例和到农田的距离。建议在制定白冠长尾雉栖息地保护策略时,应加强现有适宜栖息地的管理,改善栖息地布局,并从景观尺度上开展针叶林对白冠长尾雉种群影响方面的研究工作。     

董寨最具特色的鸟类——白冠长尾雉

爱鸟之人都希望到董寨看鸟,一是因为那里的鸟多,二是因为那里有白冠长尾雉。白冠长尾雉在分类上隶属于鸡形目雉科长尾雉属,是我国特产的一种珍稀雉类。它是我国的一种名鸟,古代的《尔雅》、《本草纲目》对其均有记载。白冠长尾雉的雌雄鸟具有不同的羽色。雄鸟不仅尾羽修长（最长的可以达到2米）,而且全身金黄色并杂以黑色条纹的羽毛看上去华丽夺目,它的头顶部呈白色,故而得名白冠长尾雉。     

Home range and habitat use of male Reeves’s pheasant (Syrmaticus reevesii) during winter in Dongzhai National Nature Reserve, Henan Province, China

Home range and habitat use of male Reeves’s pheasant (Syrmaticus reevesii) were studied during winter of 2001～2002 and 2002～2003 in the Dongzhai National Nature Reserve, Henan Province. Results from five individuals of Reeves’s pheasant with over 30 relocations, indicated that the average size of home range was 10.03 ± 1.17 hm² by Minimum Convex Polygon method, 8.60 ± 0.35 hm² by 90% Harmonic Mean Transformation method, and 9.50 ± 1.90 hm² by 95% Fixed Kernel method. It was observed that the winter range is smaller than that in the breeding season. The mean core area of the home range was found to be 1.88 ± 0.37 hm². Although the habitat composition of the core area varied greatly for individuals, a large part of the habitats used were composed of confier and broadleaf mixed forests, masson pine forests, fir forests, and shrubs. Habitat use within the study area was non-random, while habitats within home ranges were randomly used. Habitat use was dictated by tree diameter at breast height, shrub height and coverage at 2.0 m. The proximity between forests and shrubs were also found to be important in providing refuge for the birds during winter. Recommendations for conservation management include protecting the existing habitats in Dongzhai National Nature Reserve, increasing suitable habitat for Reeves’s Pheasant through artificial plantations (e.g. firs), and restoring some parts of the large shrub area into forests.     

桂西南喀斯特山地雉类的生态分布和空间生态位分析

桂西南喀斯特地区位于中国广西的西南部,属于全球生物多样性热点地区。通过自2003年以来,对该地区雉类进行的调查,共记录到7种雉类,分别是中华鹧鸪(Francolinus pintadeanus)、褐胸山鹧鸪(Arborophila brunneopectus)、棕胸竹鸡(Bambusicola fytchii)、灰胸竹鸡(Bambusicola thoracica)、原鸡(Gallus gallus)、白鹇(Lophura nycthemera)和环颈雉(Phasianus colchicus)。对该地区雉类的生态分布状况及栖息地的植被类型和坡位等空间生态位进行分析和比较的结果表明,原鸡的综合生态位最宽,灰胸竹鸡第二,最窄为中华鹧鸪。综合生态位重叠值最大的是中华鹧鸪--环颈雉和灰胸竹鸡--原鸡。分布范围狭窄、种群数量相对较少及生态适应性较低的褐胸山鹧鸪应该是该地区最易受到威胁的种类。     

Phylogeography of the Common Pheasant Phasianus colchicus

The Common Pheasant Phasianus colchicus is widely distributed in temperate to subtropical regions of the Palaearctic realm. Populations of Common Pheasant have been classified into five subspecies groups based on morphological variations in male plumage. Previous phylogeographical studies have focused on limited sets of subspecies groups in the eastern Palaearctic and knowledge on subspecies in the western Palaearctic region is still poor. In this study, we undertake the first comprehensive analysis of subspecies from all five defined subspecies groups across the entire Palaearctic region. Two mitochondrial (CYTB and CR) and two nuclear (HMG and SPI) loci were used to investigate genetic relationships of these subspecies groups and to infer their dispersal routes. Our results revealed that the subspecies elegans, with its range in northwestern Yunnan, China, was in the basal position among 17 studied subspecies, supporting a previous hypothesis that the Common Pheasant most probably originated in forests in southeastern China. Subspecies in the western Palaearctic region nested within the most subspecies‐rich torquatus group (‘Grey‐rumped Pheasants’), indicating that the torquatus group is not a clade but instead forms a gradation with other subspecies and subspecies groups. Our dating analysis suggested that the initial divergence among populations of Common Pheasant originated around 3.4 Mya with subsequent dispersal into the Western Palaearctic region during the Late Pliocene–Lower Pleistocene approximately 2.5–1.8 Mya. We propose two possible east‐to‐west colonization routes for the Common Pheasant and suggest conservation implications for some regional subspecies. Overall, this study demonstrates the lack of concordance between morphology‐based subspecies delimitation and their genetic relationships. This is likely to be a consequence of initial isolation due to historical vicariance followed by population admixture due to recent range expansion of Common Pheasant in the western Palaearctic region.     

Information‐theoretic model selection affects home‐range estimation and habitat preference inference: a case study of male Reeves’s Pheasants Syrmaticus reevesii

Reeves’s Pheasant Syrmaticus reevesii is a vulnerable forest bird inhabiting broadleaved habitats dominated by oaks Quercus spp. in central China. Identifying home‐ranges and habitat associations is important for understanding the biology of this species and developing effective management and conservation plans. We used information‐theoretic criteria to evaluate the relative performance of four parametric (exponential power, one‐mode bivariate normal, two‐mode bivariate normal and two‐mode bivariate circle) and two non‐parametric models (adaptive and fixed kernel) for estimating home‐ranges and habitat associations of Reeves’s Pheasants. For parametric models, Akaike’s information criterion (AIC_c) and the likelihood cross‐validation criterion (CVC) were relatively consistent in ranking the bivariate exponential power model the least acceptable, whereas the two‐mode bivariate models performed better. The CVC suggested that kernel models, particularly the adaptive kernel, performed best among all six models evaluated. The average core area and 95% contour area based on the model with greatest support were 6.1 and 54.9 ha, respectively, and were larger than those estimated from other models. The discrepancy in estimates between models with highest and the lowest support decreased as the contour size increased; however, home‐range shapes differed between models. Minimum convex polygons that removed 5% of extreme data points (MCP95) were roughly half the size of home‐ranges based on kernel models. Estimates of home‐range and model evaluation were not affected by sample size (> 50 observations for each bird). Inference about habitat preference based on composition analysis and home‐range overlap varied between models. That with strongest support suggested that Reeves’s Pheasants selected mature fir and mixed forest, avoided farmland, and had mean among‐individual home‐range overlaps of 20%. We recommend non‐parametric methods, particularly the adaptive kernel method, for estimating home‐ranges and core areas for species with complex multi‐polar habitat preferences in heterogeneous environments with large habitat patches. However, we caution against the traditional convenience of using a single model to estimate home‐ranges and recommend exploration of multiple models for describing and understanding the ecological processes underlying space use and habitat associations.     

The use of infrared‐triggered cameras for surveying phasianids in Sichuan Province,China

We report on the use of infrared‐triggered cameras as an effective tool to survey phasianid populations in Wanglang and Wolong Nature Reserves, China. Surveys at 183 camera‐trapping sites recorded 30 bird species, including nine phasianids (one grouse and eight pheasant species). Blood Pheasant Ithaginis cruentus and Temminck’s Tragopan Tragopan temminckii were the phasianids most often detected at both reserves and were found within the mid‐elevation range (2400–3600 m asl). The occupancy rate and detection probability of both species were examined using an occupancy model relative to eight sampling covariates and three detection covariates. The model estimates of occupancy for Blood Pheasant (0.30) and Temminck’s Tragopan (0.14) are close to the naïve estimates based on camera detections (0.27 and 0.13, respectively). The estimated detection probability during a 5‐day period was 0.36 for Blood Pheasant and 0.30 for Temminck’s Tragopan. The daily activity patterns for these two species were assessed from the time/date stamps on the photographs and sex ratios calculated for Blood Pheasant (152M : 72F) and Temminck’s Tragopan (48M : 21F). Infrared cameras are valuable for surveying these reclusive species and our protocol is applicable to research or monitoring of phasianids.     

企鹅珍珠贝不同地理群体遗传多样性的fAFLP 分析

为阐明企鹅珍珠贝(Pteria penguin)不同地理种群的遗传多样性机制, 采用荧光标记扩增片段长度多态性(fAFLP)技术分析了企鹅珍珠贝广西涠洲岛、广东流沙湾和海南黎安3 个不同地理群体的遗传多样性。选取7 对引物组合对90 个个体(每个群体30 个)进行fAFLP 扩增, 结果发现每个个体均能扩增出清晰的、可重复的扩增条带, 每对引物的扩增位点数在100—163 之间, 共得到895 个扩增位点, 多态位点数为865 个; 涠洲岛、流沙湾和黎安群体的多态位点比例分别为70.73%、63.13%、66.82%。Nei 遗传多样性指数为0.1634、0.1558、0.1783, Shannon 遗传多样性指数为0.2635、0.2474、0.2932。3 个群体间遗传相似度在0.9722—0.9824之间, 遗传距离在0.0177—0.0282 之间。根据遗传距离绘制UPGMA 聚类图, 但Mantel 检验结果显示企鹅珍珠贝三群体间的遗传距离与地理距离之间无显著相关。Shannon 遗传多样性指数和AMOVA 分析, 结果均显示企鹅珍珠贝的遗传变异主要来源于群体内个体间, 7.91%的遗传变异来自群体间, 92.09%的遗传变异来自群体内。分析群体的显性基因型频率分布和基因流Nm 发现3 个群体有基本相同的遗传结构, 有明显的基因交流。研究结果表明北海涠洲岛群体、湛江流沙湾群体和海南黎安群体的企鹅珍珠贝种质有较高的多态位点比例, 但未发生显著地理分化。这一结果为我国企鹅珍珠贝的良种选育以及种质资源保护措施的制定提供了参考依据。       

山西庞泉沟自然保护区褐马鸡种群数量特征的研究

本文作者于1982—1988年在山西庞泉沟国家级自然保护区对褐马鸡(Crossoptilon mantchuri-cum)的种群数量进行了调查。结果种群密度为0.077(只/公顷),A、B、C垂直带间的数量分别为0.091、0.093、0.048,各占种群数量的39.22％、40.09％和20.69％,D带经调查,尚未见有分布。在繁殖前的5月为种群数量最低基数(0.030只);繁殖后的7月数量最高(0.099只)。     

基于自动录音技术研究三种雉类 鸣叫特征和节律

自动录音机是一种低成本、高效、可以在较长时间和较大空间范围内对物种的活动进行有效监测的设备。2019年4至6月,在北京小龙门地区（40°00′ N,115°26′ E）褐马鸡（Crossoptilon mantchuricum）、勺鸡（Pucrasia macrolopha）和环颈雉（Phasianus colchicus）的栖息地内布设了songmeter自动录音机,对三种雉类的鸣声进行为期2个月的连续收集。利用Kaleidoscope软件（Wildlife Acoustics公司,美国）,对不同雉类鸣声进行了人工辅助的机器学习和自动识别,从录制的22 536 h录音数据中提取了褐马鸡、勺鸡和环颈雉的鸣声。优化鸣声提取的时频参数后,勺鸡鸣声提取的正确率为73.32%,探测率为52.91%;环颈雉鸣声提取的正确率为89.32%,探测率为67.36%;褐马鸡鸣声提取的正确率较低,仅为8.69%,探测率为58.54%。结合三种雉类的繁殖资料,揭示了三种雉类的鸣声节律：褐马鸡和环颈雉有早晚两个鸣叫高峰期,但高峰时段不尽相同,勺鸡只存在鸣叫早高峰;褐马鸡、勺鸡和环颈雉在交配期、孵卵前期具有一个鸣叫高峰。     

笼养黑颈长尾雉和白颈长尾雉代谢产热特征及体温调节(英文)

采用封闭式流体压力呼吸仪,在5～35℃的环境温度范围内测定了黑颈长尾雉(Syrmaticushumiae)和白颈长尾雉(Syrmaticusellioti)的代谢率(MR)、热传导(C)和体温(Tb)等指标,探讨了其代谢产热特征。结果显示:黑颈长尾雉和白颈长尾雉的热中性区(TNZ)分别为24.5～31.6℃和23.0～29.2℃。在5～35℃的温度范围内,黑颈长尾雉和白颈长尾雉能保持稳定的体温,分别为(40.47±0.64)和(40.36±0.10)℃;在热中性区内,黑颈长尾雉和白颈长尾雉的平均基础代谢率(BMR)分别为(1.36±0.84)和(2.03±0.12)mLO2/(g.h),分别是体重预期值的77%和86%。在下临界温度以下,黑颈长尾雉和白颈长尾雉的最小热传导分别是(0.12±0.01)和(0.17±0.01)mLO2/(g.h.℃),分别是体重预期值的119%和124%。这两种鸟的生理生态学特征是:黑颈长尾雉和白颈长尾雉都具有较低的代谢率,较高的体温和热传导,能较好地适应南方湿热的气候特征。