珍稀濒危植物珙桐过氧化物酶活性和丙二醛含量

采用比色法测定了不同年龄级、部位和叶位珙桐叶的过氧化物酶(POD)活性和丙二醛（MDA）含量,以探讨珙桐的生理生态适应性。结果表明：不同年龄级同一生长时期珙桐叶的POD活性和MDA含量不同,同年龄级同层的POD活性随叶位增大先升后降,MDA含量随叶位增大逐渐升高;同叶位不同层及同层不同叶位的珙桐叶的POD活性和MDA含量不同。珙桐叶POD活性和MDA含量对生长期敏感,同年龄级同叶位的珙桐叶随叶片的生长、衰老,POD活性和MDA含量逐渐升高,即珙桐叶POD活性和MDA含量受生物和非生物因子影响显著,且不同年龄级、叶位、层次存在差异。     

栖息地破碎化与鸟类生存

栖息地破碎化给野生动物带来的不良后果是全球生态学家和保护生物学家共同关心的问题.自从提出栖息地破碎化是导致生物多样性丧失的关键因素之一的论点后,近20年来,栖息地破碎化研究一直是生态学和保护生物学最活跃的前沿研究领域之一.栖息地破碎化是一动态过程,可在多尺度上发生并蕴涵着复杂的空间模式变化.栖息地破碎化对鸟类的生态学效应主要体现在面积效应、隔离效应和边缘效应等.这些效应影响着鸟类的分布、基因交流、种群动态、扩散行为、种间关系和生活史特征等,最终影响着鸟类的生存.介绍和总结了栖息地破碎化过程、研究的理论依据及栖息地破碎化对鸟类生存产生的诸多影响.     

三峡库区（重庆段）土壤侵蚀敏感性评价及其空间分异特征

三峡库区(重庆段)具有重要的生态地理位置.土壤侵蚀是这一地区最为严重的生态环境问题.以通用水土流失方程为基础,运用GIS技术,分别分析了土壤可蚀性、降水、地形、植被覆盖因子对研究区土壤侵蚀敏感性的影响程度,并生成单要素敏感性评价图.在此基础上,基于ArcGIS的空间叠加分析,完成单要素的叠加运算,实现研究区土壤侵蚀敏感性的综合评价.探讨了三峡库区(重庆段)这一特殊生态地理区域土壤侵蚀敏感性的高低分布规律及其在不同主导因子作用下的土壤侵蚀的空间分异特征.结果表明:研究区土壤侵蚀敏感性以高度敏感、中度敏感和极敏感为主,轻度敏感和不敏感比例相对较小.空间分布具有水平地域特征,东北部最为敏感、西部最不敏感.研究区土壤侵蚀现状与土壤侵蚀敏感性分布总体上是一致的,表明降雨、地形起伏、土壤可蚀性以及自然植被状况等自然因素是土壤侵蚀发生、发展的潜在条件,而人类活动是土壤侵蚀发生、发展或减弱的主导因素.植被覆盖受人类活动影响最大.因此,转变不合理的土地利用方式,加强植被的保育和植被生态系统的重建是防治土壤侵蚀的关键环节.     

干旱区绿洲土地利用/覆被及景观格局变化特征——以新疆精河县为例

从宏观上运用3S技术,利用1972年MSS、1990年Landsat TM、2001年Landsat ETM+和2005年CBERS 4个时期遥感影像数据,将GIS和景观生态学的数量分析方法相结合,运用ArcGIS以及Fragstats,分析了干旱区绿洲精河县1972～2005年间的土地利用/覆被和景观格局的变化.结果表明:(1)1972～2005年的33a中,精河县LUCC的总体变化趋势是绿洲面积有小幅度扩张,其中人工绿洲面积扩张尤为显著,天然绿洲面积减少.(2)研究区水域面积的变化受艾比湖湖面面积的变化影响较大,变化不显著,但总体上呈缓慢增长的趋势.(3)盐渍地面积的变化经历了先扩张后减小的一个过程.1990年达到最大值,但到2005年面积又有很大程度减少.沙地面积小幅度减小,其他地类的面积始终呈增加趋势.(4)景观在各个研究时段也发生显著变化.总的来说,整个研究区景观的密度持续增大,最大斑块指数先减小后增大,面积加权形状指数减小,形状趋于规则;斑块间的最邻近距离减小.表明1972年时景观中的优势斑块类型的连接性较2005年好,逐渐向具有多种要素的密集格局演变,景观更加破碎.同时不同斑块间的分离度增大,也说明景观破碎化程度加深.从香农多样性指数和香农均度指数的变化可以看出,景观的多样性增加,且均度增强.景观多样性及破碎化程度增加,也反映了土地利用越来越丰富.总之,要实现区域土地资源的可持续发展和景观生态功能的良性发挥,必须注重土地利用格局优化,维护景观生态过程与格局的连续性.     

哈尔滨东部城乡土地梯度带的划分及景观结构

以哈尔滨市及东部郊区为对象,重点研究城乡土地梯度带的划分以及造成这种景观分异的内在机制,特别是对镶嵌在城市到乡村之间土地类型的数量变化,研究土地景观结构的特点.研究区范围东西35km,南北16km,在GIS平台上使用TM与SPOT卫星图像划分出东西2.5km,南北16km大小的14条等面积的连续梯度带,根据等面积梯度带的建筑密度和道路密度将研究区域划分为市区、近郊区、远郊区3个梯度区.应用计算机目视判读方法对研究区内进行了土地类型的识别及区划,利用GIS空间分析,计算了各种梯度带的内的不同土地类型的长度、面积.通过这些计算与分析研究了哈尔滨市及东部城乡之间不同梯度带的绿地景观空间结构特点,以绿地建设为核心,辅以城市景观结构及空间格局的特点,分析讨论不同城乡梯度带景观分异的成因.研究表明,区域道路密度和建筑物密度可以在一定程度上反应出城市化进程,据此将哈尔滨及东部城乡划分为市区、近郊区和远郊区;不同梯度区域有其各自的人文景观结构特点和绿地景观结构特点,讨论了造成这种梯度特征的内在机制,并对研究区域未来的城乡绿地及景观建设和可持续发展提出了建议.     

中国松材线虫病空间分布格局

应用地统计学和克里格插值方法,分析了松材线虫病在中国的空间分布结构和空间相关性.研究表明,松材线虫病在中国呈聚集分布.在全国和江苏、安徽、广东、浙江5个不同空间尺度下,半变异函数均为球形,空间依赖性距离分别可达10 1888°、3.4464°、2.1581°、3.08°和2.4376°.松材线虫病在中国有着2个明显的聚集分布区域,一个位于(30.5～32.5°N,117.7～120.5°E),以南京为中心,包括江苏、安徽大部和浙江西北部,另一个位于(22.5～24°N,113～114.5°E ),在广东境内.松材线虫病在中国早期空间分布自然扩散模型为R = 5.4743e0.4139t(R2 = 0.9204).     

荒漠人工固沙植被区土壤水分的时空变异性

表层土壤水分具有高度的时间和空间变异性.研究的目的:(1)揭示沙坡头人工固沙植被区浅层土壤水分的时空变异性特征;(2)确定驱动土壤水分变异的主要环境因子.在人工固沙植被区内一个4500m2的网格样地上每隔10m设置取样点,在连续7个月的时间内 (2005年4～10月),每隔15d用时域反射仪测量各样点表层以下15cm和30cm深度的土壤容积含水量.结果表明,该区网格尺度上浅层土壤水分的分布具有明显的空间变异性,其变异性随着土壤水分含量的降低而减小;相对海拔是驱动土壤水分空间变异的主要环境因子,其作用在降雨后尤为显著,且其对土壤下层的影响比上层更明显;植被和土壤水分含量的相关性时间序列与相对海拔一致--降雨使其相关性增加;土壤质地(土壤粒径分布)和土壤水分含量的相关性时间序列特征与植被和相对海拔相反,且其对土壤上层的影响比下层更明显.因此,在沙坡头荒漠人工固沙植被区,降雨后的短暂湿润期,地形和植被是驱动浅层土壤水分变异的主要影响因子,而随着降雨之后土壤逐渐变干,土壤质地的影响变得更加明显.     

Seedling regeneration,environment and management in a semi‐deciduous African tropical rain forest

Questions: How is seedling regeneration of woody species of semi‐deciduous rain forests affected by (a) historical management for combinations of logging, arboricide treatment or no treatment, (b) forest community type and (c) environmental gradients of topography, light and soil nutrients? Location: Budongo Forest Reserve, Uganda. Methods: Seedling regeneration patterns of trees and shrubs in relation to environmental factors and historical management types were studied using 32 0.5‐ha plots laid out in transects along a topographic gradient. We compared seedling species diversity, composition and distribution patterns along topographic gradients and within types of historical management regimes and forest communities to test whether environmental factors contributed to differences in species composition of seedlings. Results: A total of 85 624 woody seedlings representing 237 species and 46 families were recorded in this rain forest. Cynometra alexandri C.H. Wright and Lasiodiscus mildbraedii Engl. had high seedling densities and were widely distributed throughout the plots. The most species‐rich families were Euphorbiaceae, Fabaceae, Rubiaceae, Meliaceae, Moraceae and Rutaceae. Only total seedling density was significantly different between sites with different historical management, with densities highest in logged, intermediate in logged/arboricided and lowest in the nature reserve. Forest communities differed significantly in terms of seedling diversity and density. Seedling composition differed significantly between transects and forest communities, but not between topographic positions or historical management types. Both Chao‐Jaccard and Chao‐Sørensen abundance‐based similarity estimators were relatively high in the plot, forest community and in terms of historical management levels, corroborating the lack of significant differences in species richness within these groups. The measured environmental variables explained 59.4% of variance in seedling species distributions, with the three most important being soil organic matter, total soil titanium and leaf area index (LAI). Total seedling density was positively correlated with LAI. Differences in diversity of >2.0 cm dbh plants (juveniles and adults) also explained variations in seedling species diversity. Conclusions: The seedling bank is the major route for regeneration in this semi‐deciduous tropical rain forest, with the wide distribution of many species suggesting that these species regenerate continuously. Seedling diversity, density and distribution are largely a function of adult diversity, historical management type and environmental gradients in factors such as soil nutrient content and LAI. The species richness of seedlings was higher in soils both rich in titanium and with low exchangeable cations, as well as in logged areas that were more open and had a low LAI.     

Past century changes in Araucaria angustifolia (Bertol.) Kuntze water use efficiency and growth in forest and grassland ecosystems of southern Brazil: implications for forest expansion

Araucaria angustifolia (Bertol.) Kuntze is an indigenous conifer tree restricted to the southern region of South America that plays a key role in the dynamics of regional ecosystems where forest expansion over grasslands has been observed. Here, we evaluate the changes in intrinsic water use efficiency (iWUE) and basal area increment (BAI) of this species in response to atmospheric CO₂, temperature and precipitation over the last century. Our investigation is based on tree-rings taken from trees located in forest and grassland sites in southern Brazil. Differences in carbon isotopic composition ( δ ¹³C), ¹³CO₂ discrimination (Δ¹³C) and intracellular carbon concentration ( C _i ) are also reported. Our results indicate an age effect on Δ¹³C in forest trees during the first decades of growth. This age effect is not linked to an initial BAI suppression, suggesting the previous existence of nonforested vegetation in the forest sites. After maturity all trees show similar temporal trends in carbon isotope-derived variables and increasing iWUE, however, absolute values are significantly different between forest and grassland sites. The iWUE is higher in forest trees, indicating greater water competition or nutritional availability, relative to grassland, or both. BAI is also higher in forest trees, but it is not linked with iWUE or atmospheric CO₂. Nevertheless, in both forest and grassland sites A. angustifolia has had growth limitations corresponding to low precipitation and high temperatures observed in the 1940s.     

Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach

Fire is a common disturbance in the North American boreal forest that influences ecosystem structure and function. The temporal and spatial dynamics of fire are likely to be altered as climate continues to change. In this study, we ask the question: how will area burned in boreal North America by wildfire respond to future changes in climate? To evaluate this question, we developed temporally and spatially explicit relationships between air temperature and fuel moisture codes derived from the Canadian Fire Weather Index System to estimate annual area burned at 2.5° (latitude × longitude) resolution using a Multivariate Adaptive Regression Spline (MARS) approach across Alaska and Canada. Burned area was substantially more predictable in the western portion of boreal North America than in eastern Canada. Burned area was also not very predictable in areas of substantial topographic relief and in areas along the transition between boreal forest and tundra. At the scale of Alaska and western Canada, the empirical fire models explain on the order of 82% of the variation in annual area burned for the period 1960–2002. July temperature was the most frequently occurring predictor across all models, but the fuel moisture codes for the months June through August (as a group) entered the models as the most important predictors of annual area burned. To predict changes in the temporal and spatial dynamics of fire under future climate, the empirical fire models used output from the Canadian Climate Center CGCM2 global climate model to predict annual area burned through the year 2100 across Alaska and western Canada. Relative to 1991–2000, the results suggest that average area burned per decade will double by 2041–2050 and will increase on the order of 3.5–5.5 times by the last decade of the 21st century. To improve the ability to better predict wildfire across Alaska and Canada, future research should focus on incorporating additional effects of long‐term and successional vegetation changes on area burned to account more fully for interactions among fire, climate, and vegetation dynamics.