The spatial–temporal pattern changes of the red crowned crane (Grus japonensis) population in Zhalong NNR and the related driving forces

Understanding spatio-temporal distribution patterns of a species is essential to successful species and habitat conservation. The fluctuations of the red crowned crane population were studied after collecting the data about breeding red-crown cranes from Zhalong National Natural Reserve (Zhalong NNR) since 1981; and their spatial distribution patterns were also quantified in variant time periods with the method nearest neighbor analysis (NNA); the main factors leading to the dynamics of the bird population were analyzed. The results showed the red-crown crane population had fluctuated dramatically from 1981 to 2005. The number dropped rapidly to the minimum of the bird population to endanger the existence of the population by the year of 2005. And the spatial distribution pattern changed from uniform distribution to aggregated distribution during 1996–2005. These changes reflected that the distributions of habitats had undergone a process of fragmentation, and the area of the suitable habitats suffered such a continuous loss that there were insufficient habitats to sustain the bird population any more. And consequently, the decline of the bird population occurred. The wildfire and the anthropogenic activities were the driving forces which accounted for the degradation of the habitats and hereafter the fluctuations of the red-crown population.     

The spatial–temporal pattern changes of the red crowned crane (Grus japonensis) population in Zhalong NNR and the related driving forces

Understanding spatio-temporal distribution patterns of a species is essential to successful species and habitat conservation. The fluctuations of the red crowned crane population were studied after collecting the data about breeding red-crown cranes from Zhalong National Natural Reserve (Zhalong NNR) since 1981; and their spatial distribution patterns were also quantified in variant time periods with the method nearest neighbor analysis (NNA); the main factors leading to the dynamics of the bird population were analyzed. The results showed the red-crown crane population had fluctuated dramatically from 1981 to 2005. The number dropped rapidly to the minimum of the bird population to endanger the existence of the population by the year of 2005. And the spatial distribution pattern changed from uniform distribution to aggregated distribution during 1996–2005. These changes reflected that the distributions of habitats had undergone a process of fragmentation, and the area of the suitable habitats suffered such a continuous loss that there were insufficient habitats to sustain the bird population any more. And consequently, the decline of the bird population occurred. The wildfire and the anthropogenic activities were the driving forces which accounted for the degradation of the habitats and hereafter the fluctuations of the red-crown population.     

Evaluating the Importance of Environmental Variables on Spatial Distribution of Caspian cobra Naja oxiana(Eichwald, 1831) in Iran

Over recent years, the population of Caspian cobra Naja oxiana has declined in its distribution range in Iran due to habitat destruction and overhunting. Consequently, their small and isolated populations in fragmented landscapes are facing genetic and demographic threats. Evaluating the spatial distribution pattern of Naja oxiana, identifying core habitat patches and improving landscape connectivity among the patches have a significant role in the long-term survival of the species. This study predicts the spatial distribution map of the Caspian cobra considering the factors affecting the predictive power of the distribution models, including sampling bias in presence points, correct selection of background locations, and input model parameters. The sampling bias in presence points was removed using spatial filtering. Several models were run using 19 environmental variables that eventually led to the selection of the effective habitat variables and best MaxEnt distribution model. We also used an ensemble model(EM) of habitat suitability methods to predict the potential habitats of the species. Topographical roughness, shrublands, average annual precipitation, and sparse rangeland with a density of ≤ 20% had the most effect on the spatial distribution of Caspian cobra. The evaluation of models confirmed that the EM has more predictive performance than MaxEnt in predicting the distribution of Naja oxiana.     

Neither Biased Sex Ratio nor Spatial Segregation of the Sexes in the Subtropical Dioecious Tree Eurycorymbus cavaleriei （Sapindaceae）

Knowledge of sex ratio and spatial distribution of males and females of dioecious species is both of evolutionary interest and of crucial importance for biological conservation. Eurycorymbus cavaleriei, the only species in the genus Eurycorymbus （Sapindaceae）, is a dioecious tree endemic to subtropical montane forest in South China. Sex ratios were investigated in 15 natural populations for the two defined ages （young and old）. Spatial distribution of males and females was further studied in six large populations occurring in different habitats （fragmented and continuous）. The study revealed a slight trend of male- biased sex ratio in both ages of E. cavaleriei, but sex ratio of most populations （13 out of 15） did not display statistically significant deviation from equality. All of the four significantly male-biased populations in the young class shifted to equality or even female-biased, The Ripley＇s K analysis of the distribution of males with respect to females suggested that individuals of the opposite sexes were more randomly distributed rather than spatially structured. These results suggest that the male-biased sex ratio in E. cavaleriei may result from the precocity of males and habitat heterogeneity. The sex ratio and the sex spatial distribution pattern are unlikely to constitute a serious threat to the survival of the species.     

Patterns of ramet population of Iris japonica Thunb. and their effects on herb diversity in different microsites on Jinyun Mountain, China

Spatial patterns of ramet population of Iris japonica Thunb. and their effect on species diversity in the herb layer of 3 microsites (open area of forest edge (OAFE), bamboo forest (BF) and evergreen broad-leaved forest (EBF)) on Jinyun Mountain were studied using spatial pattern, niche and diversity analyses in a combination of population and community methods. The results were as follows: (1) judged by V/m and Morisita index (Iδ), ramet population of I. japonica in 3 microsites all clumped from scale 0.5 m × 0.5 m to 2 m × 2 m; (2) the pattern scale and pattern intensity both gradually decreased on all scales, and the density of ramet population of I. japonica decreased with the increase in canopy density and the decrease in relative photon flux density (RPFD) and R/FR from OAFE to EBF. In OAFE and BF, widespread I. japonica had significantly negative influence on the dominance of original dominant species and on species diversity in the herb layer (p < 0.05), while those influences in EBF were extremely weak. The mechanisms that pattern characteristics of ramet population of I. japonica influence herb diversity in 3 microsites were different. In OAFE, strong regeneration niche (above-ground spatial and below-ground root) and trophic niche (nutrient) competition had significantly negative influence on the species diversity of rare herbs and dwarf herbs. In BF, strong regeneration niche (below-ground root) and trophic niche (above-ground for light and below-ground for nutrient) competition had negative effect on the occurrence of rare species and on the survival of other herb species. In EBF, weak niche competition had little effect on the survival of herb species. Intensity of regeneration niche and trophic niche competition between I. japonica and other herb species is the determinant to the mechanism that ramet population of I. japonica influences herb diversity.     

Spatial heterogeneity and population risk analysis of cotton bollworm, Helicoverpa armigera, in China

In this study, semivariance was used to quantitatively measure the spatial heterogeneity for the egg population of cotton bollworm during a growing season. The typical characteristic parameters of theoretical semivariance models against lag distances were applied to measure components of spatial heterogeneity： trend, range, spatial dependence, and the strength of spatial dependence. Then, kriging interpolation was used to evaluate the population risk of cotton bollworm exceeding economic thresholds. From early June through early September, the population densities were sampled 10 times in the study field. Results showed that the spatial patterns were related to population density. For its low-density population, the spatially heterogeneous trends were usually of spherical shapes; but for highdensity ones, the trends shifted to Gaussian shapes. The spatial dependence appeared at varied distances ranging from 52 meters to 936 meters, and the spatial dependence was in the range of 0.39-288.60, which changed with population densities. While having high heterogeneity, the strength of spatial dependence became much stronger. Results of population risk analysis showed that there was a high risk during its early stages, especially in mid-June. In August, population risk was so low that it did not need to be controlled.     

Correlations between the ages of Alnus host species and the genetic diversity of associated endosymbiotic Frankia strains from nodules

Nodule samples were collected from four alder species: Alnus nepalensis, A. si-birica, A. tinctoria and A. mandshurica growing in different environments on Gaoligong Mountains, Yunnan Province of Southwest China and on Changbai Mountains, Jilin Province of Northeast China. PCR-RFLP analysis of the IGS between nifD and nifK genes was directly applied to uncultured Frankia strains in the nodules. A total of 21 restriction patterns were obtained. The Frankia population in the nodules of A. nepalensis had the highest genetic diversity among all four Frankia populations; by contrast, the population in the nodules of A. mandshurica had the lowest degree of divergence; the ones in the nodules of A. sibirica and A. tinctoria were intermediate. A dendrogram, which was constructed based on the genetic distance between the restriction patterns, indicated that Frankia strains from A. sibirica and A. tinctoria had a close genetic relationship. Frankia strains from A. nepalensis might be the ancestor of Frankia strain     

Ecological application of wavelet analysis in the scaling of spatial distribution patterns of Ceratoides ewersmanniana

Ecological experiments are usually conducted on small scales, but the ecological and environmental issues are usually on large scales. Hence, there is a clear need of scaling. Namely, when we deal with patterns and processes on larger scales, a special connection needs to be established on the small scales that we are familiar with. Here we presented a wavelet analysis method that could build relationships between spatial distribution patterns on different scales. With this method, we also studied how spatial heterogeneity and distribution patterns changed with the scale. We investigated the distribution and the habitat of C. ewersmanniana in two plots (200 m × 200 m; the distance between these two plots is 15 km) at Mosuowan desert. The results demonstrated that spatial heterogeneity and distribution patterns were incorporated into larger scales when the wavelet scale varied from one (5 m) to four (20 m). However, if the wavelet scale was above five (25 m), the spatial distribution patterns varied placidly, the oscillation frequency of landforms stabilized at 110 m, and the dynamic quantity period of C. ewersmanniana stabilized at 115–125 m. We also identified signal mutation points with wavelet analysis and verified the heterogeneity degree of local space with position variance. We found that position variance decomposed the distribution patterns on large scales into small sampling plots, and the position with the largest variance also had the strongest heterogeneity. In a word, the wavelet analysis method could scale-up spatial distribution patterns and habitat heterogeneity. With this method and other methods derived from this one, such as wavelet scale, wavelet variance, position variance and extremely direct-viewing graphs, wavelet analysis could be widely applied in solving the scaling problem in ecological and environmental studies.     

Seed Dynamics in Relation to Gaps in a Tropical Montane Rainforest of Hainan Island, South China： （I） Seed Rain

Seed dynamics is an important part of stand dynamics in forest ecosystems. In this paper, 26 gaps were randomly selected to study the influence of gaps on the spatial and temporal patterns of seed rains in a tropical montane rainforest of Hainan Island, South China. Three zones for each gap, including outside gap zone （Non-gap）, transitional gap zone （EG-CG）, and central gap zone （CG）, were designed, and fourseed traps （each lm x lm in size） were placed in each zone. Seed rains were collected by these traps every 10 days from June 2001 to May 2002. Seed rain varied greatly with season and generally exhibited a pattern of unimodal change during the study period： seed abundance and species richness were both greater in the wet season than in the dry season. Gaps significantly influenced the temporal patterns of both species richness and density of seed rains. Gaps had no significant influences on the spatial distribution patterns of seed rain species richness, but significantly affected the spatial distribution pattern of seed rain densities. Among the three different zones of gaps, the outside gap zone generally received more seeds inputs than the two other gap zones.     

扎龙湿地生态系统服务价值评价

从避免重复计算的角度出发,将湿地生态系统服务分为最终服务和中间服务两部分,以最终服务的价值作为湿地生态系统服务的总价值。以扎龙湿地为例,其最终服务包括物质生产、土壤保持、水质净化、气候调节、固碳、调蓄洪水、大气调节、休闲旅游、科研教育和授粉服务,中间服务包括净初级生产力、营养循环、涵养水源、地下水补给和生物多样性维持服务,采用市场价值法、替代成本法和旅行费用法等生态经济学方法对扎龙湿地的生态系统服务进行了评价。结果表明,2011年扎龙湿地生态系统服务总价值为679.4亿元,中间服务价值为471.5亿元,各项最终服务的价值大小为气候调节调蓄洪水大气调节固碳休闲旅游授粉服务物质生产水质净化科研教育土壤保持。扎龙湿地不仅是重要的蓄洪区和泥碳储存地,在区域气候调节方面也起着巨大的作用。针对扎龙湿地的管理,应该保护和恢复湿地面积,同时注意适当的增加旅游。     

扎龙芦苇湿地生长季的甲烷排放通量

为研究高寒地区天然淡水芦苇湿地的甲烷排放特征,采用静态箱-气相色谱法,测定了扎龙不同水位芦苇湿地生长季的甲烷排放通量.结果表明:观测期内,扎龙芦苇湿地甲烷排放通量平均为7.67 mg·m^-2·h^-1（-21.18～46.15 mg·m^-2·h^-1）,其中深水区(平均水深100 cm)和浅水区(平均水深25 cm)的平均甲烷排放通量分别为5.81和9.52 mg·m^-2·h^-1,排放峰值分别出现在8月和7月,最低值均出现在10月.深水区夏季(6-7月)的甲烷排放通量显著低于浅水区,而春(5月)、秋(8-10月)季节显著高于浅水区.生长季甲烷排放通量的变化为夏季>秋季>春季;昼夜排放量为12:00和14:00最高,0:00最低.温度和水位是高寒地区淡水芦苇湿地甲烷排放通量变化的主要影响因子.     

扎龙湿地昆虫群落结构及动态

湿地是介于水体与陆地之间的特殊的生态系统,其中昆虫扮演着重要的角色。通过选取扎龙村、烟筒屯、土木台和育苇场为样地以诱集夜间活动的昆虫为主,对扎龙湿地昆虫群落结构进行了探讨。结果表明:扎龙湿地夜间活动的昆虫分属14目54科139种,以鳞翅目、鞘翅目和双翅目为优势类群。各区域昆虫群落种-多度关系均表现为对数正态分布。物种丰富度为扎龙村＞烟筒屯＞育苇场＞土木台,而群落多样性和均匀度均为烟筒屯＞扎龙村＞土木台＞育苇场,Shannon-Wiener 多样性指数(H') 与均匀度(J')和物种丰富度(S)时间动态关系表现为:烟筒屯Shannon-Wiener 多样性指数(H')与均匀度(J')和物种丰富度(S)均一致;扎龙村和育苇场Shannon-Wiener 多样性指数(H')与均匀度(J')一致,而与物种丰富度(S)弱相关;土木台 Shannon-Wiener 多样性指数(H')与均匀度(J')和物种丰富度(S)均表现为弱相关。研究得出扎龙湿地总体环境质量较好,但局部地区(如土木台)有退化的趋势,并分析造成上述结果的原因。     

扎龙自然保护区不同空间尺度景观格局时空变化及其生态风险

景观格局变化下的区域生态风险研究可以为保护区域景观生态系统健康,实现区域资源的合理和可持续利用提供重要科学依据。以扎龙自然保护区为研究区,利用遥感手段提取景观类型信息,定量分析不同空间尺度下研究区景观格局时空变化特征和演变规律。根据研究区景观格局变化特点构建景观生态风险指数,对研究区不同时期空间尺度变化过程中景观生态风险时空变化特征进行分析。研究表明:1995—2010年研究区不同空间尺度下景观总体格局和各景观类型格局变化显著,呈现不同变化特征;景观生态风险随空间粒度的增大而减小。对比分析两期数据,研究区景观生态风险加剧,其空间分布均呈环形扩散特征。根据本研究区区域面积大小和景观格局复杂程度,确定了景观格局和景观生态风险研究的适宜尺度域。     

扎龙保护区春季丹顶鹤觅食的农田生境利用分析

为了更深入地了解候鸟丹顶鹤春季利用的农田生境情况,以期为后续的该时期鹤类监测及觅食农田而产生的补偿评估奠定基础并制定相应的管理策略,2002—2015年的5月采用定点观察法、二维坐标法、样方法、GPS定位和因子分析等方法,对扎龙保护区丹顶鹤春季利用的农田生境特征进行了调查。分析结果表明:(1)春季,丹顶鹤觅食偏好选择的农作物为玉米(100%),偏好选择2—5片叶(94.32%)、回避1片叶和超过6片叶(100%)的玉米苗;(2)丹顶鹤觅食利用的农田生境通过有效食物因子和干扰因子进行判定;(3)有效食物因子包括作物高度、作物密度、作物面积、距明水面距离、距芦苇沼泽距离等;其中,选择的作物密度约为8—10株/m~2、作物高度为6—7cm,作物面积4—50hm~2大小不等、距明水面和芦苇沼泽距离相似约为0.4km左右;(4)干扰因子包括季节性弱干扰因子如道路等和强干扰因子如居民区等,针对弱干扰因子丹顶鹤采取不排斥的忽视方式,约保持在0.20km以上;针对强干扰因子丹顶鹤采取远离的方式进行回避,保持在1.20km以上。基于上述分析,建议扎龙保护区在春季巡护时应对人为活动区和农田给予更多的关注。     

扎龙湿地藻类优势种生态位及其种间联结性动态分析

为了解扎龙湿地藻类群落结构的季节特征和演替规律,对扎龙湿地藻类群落进行了分析,主要涉及藻类优势度、生态位、MFG功能群划分、生态位重叠值及联结系数分析。结果表明：(1)在检出的8门311种藻类中,夏季种类丰富度最高,全年优势种为狭形纤维藻和啮蚀隐藻。(2)优势种种类和密度季节性差异较大,春季以金藻-绿藻种类为主,夏季以绿藻-隐藻种类为主,秋季以隐藻-绿藻种类为主。(3)生态位宽度值与MFG功能群划分结合分析表明,优势种可分为3个大类别,不同种类对资源利用情况的差异较大,各季节广生态位种能较好的反映扎龙湿地水体环境的季节变化趋势。(4)生态位重叠值在不同季节上有较大差异,O_ik>0.6的占比分别为42.86%(春)、28.57%(夏)和25.00%(秋),表明春季优势种种间资源的竞争最为突出,种间竞争强于夏、秋两季。(5)种间联结性检验结果显示,扎龙湿地藻类优势种间总体联结上呈正关联关系,但是种间联结较为松散,种与种之间相对独立。研究表明,扎龙湿地藻类群落结构生态位测度均存在明显的季节波动,较好反映出水环境季节变化特征,可用来指示湿地水体环境的变化。     

扎龙湿地白枕鹤孵化期觅食生境选择

2002—2008年4—5月,采用定点观察、GPS定位、样方调查和因子分析等方法,研究了扎龙湿地白枕鹤孵化期对觅食生境的选择.结果表明：在孵化期,研究区白枕鹤的觅食生境类型主要为芦苇沼泽(74.36%),觅食生境的选择以标识因素和能量因素为主,其次是可觅性因素、安全距离因素和隐蔽因素;扎龙湿地白枕鹤孵化期的觅食生境类型多样化,以湿地(芦苇沼泽)为主,兼含陆地(农田);白枕鹤孵化期的觅食生境包括生境标识、食物、水和隐蔽物四大要素,其对觅食生境的选择分2个层次（大生境层次和小生境层次）3个过程（觅食生境类型选择、觅食区选择、觅食微生境选择）.     

黑龙江扎龙自然保护区白枕鹤巢址选择特征

为了探讨白枕鹤Grusvipio的巢址选择特征,2007～2009年的4～5月,在黑龙江省扎龙自然保护区采用定点观察法、样方调查法、因子调查法和因子分析及显著性检验等,对白枕鹤的营巢生境类型和营巢生境特征进行了调查。结果表明,白枕鹤对营巢生境类型的要求比较单一,仅选择芦苇沼泽;巢址生境特征具有明显的偏好,即(1)距干扰区的距离多在1.5km以上(86.36%),(2)巢周的水深多小于16cm(95.45%),(3)巢周明水面面积多小于200m2(90.90%),(4)巢距火烧地的距离以1.0～2.5km居多(63.64%),(5)剩余苇丛面积多小于200m2(86.37%)、距剩余苇丛距离多大于30m(81.82%)、剩余苇丛密度多小于500株/m2(77.27%)、剩余苇丛高度以大于1.5m的居多(72.73%)。进一步分析表明,白枕鹤对营巢生境特征的要求具有普遍性和特殊性,表现出一定的适应能力,火烧地、剩余苇丛、干扰区和水是其营巢的主要环境特征。