中东部地区森林资源现状与问题分析

采用20世纪80-90年代的文献资料及调研数据,分析了我国中东部地区森林生态环境的现状.结果表明,我国中东部地区森林资源丰富,森林覆盖率明显提高,但存在分布不均,人均占有量低,结构不尽合理,生态功能低下等问题.为此,中东部地区应在提高森林面积的同时,继续加大天然林保护力度,不断提高森林质量;在管理和经营方面,要保护和利用结合,分类经营、分区管理.      

Use of Multispecies Occupancy Models to Evaluate the Response of Bird Communities to Forest Degradation Associated with Logging

Forest degradation is arguably the greatest threat to biodiversity, ecosystem services, and rural livelihoods. Therefore, increasing understanding of how organisms respond to degradation is essential for management and conservation planning. We were motivated by the need for rapid and practical analytical tools to assess the influence of management and degradation on biodiversity and system state in areas subject to rapid environmental change. We compared bird community composition and size in managed (ejido, i.e., communally owned lands) and unmanaged (national park) forests in the Sierra Tarahumara region, Mexico, using multispecies occupancy models and data from a 2‐year breeding bird survey. Unmanaged sites had on average higher species occupancy and richness than managed sites. Most species were present in low numbers as indicated by lower values of detection and occupancy associated with logging‐induced degradation. Less than 10% of species had occupancy probabilities >0.5, and degradation had no positive effects on occupancy. The estimated metacommunity size of 125 exceeded previous estimates for the region, and sites with mature trees and uneven‐aged forest stand characteristics contained the highest species richness. Higher estimation uncertainty and decreases in richness and occupancy for all species, including habitat generalists, were associated with degraded young, even‐aged stands. Our findings show that multispecies occupancy methods provide tractable measures of biodiversity and system state and valuable decision support for landholders and managers. These techniques can be used to rapidly address gaps in biodiversity information, threats to biodiversity, and vulnerabilities of species of interest on a landscape level, even in degraded or fast‐changing environments. Moreover, such tools may be particularly relevant in the assessment of species richness and distribution in a wide array of habitats. Uso de Modelos de Ocupación para Múltiples Especies para Evaluar la Respuesta de las Comunidades de Aves a la Degradación de Bosques Asociada con la Tala     

A meta‐analysis of functional group responses to forest recovery outside of the tropics

Both active and passive forest restoration schemes are used in degraded landscapes across the world to enhance biodiversity and ecosystem service provision. Restoration is increasingly also being implemented in biodiversity offset schemes as compensation for loss of natural habitat to anthropogenic development. This has raised concerns about the value of replacing old‐growth forest with plantations, motivating research on biodiversity recovery as forest stands age. Functional diversity is now advocated as a key metric for restoration success, yet it has received little analytical attention to date. We conducted a meta‐analysis of 90 studies that measured differences in species richness for functional groups of fungi, lichens, and beetles between old‐growth control and planted or secondary treatment forests in temperate, boreal, and Mediterranean regions. We identified functional‐group–specific relationships in the response of species richness to stand age after forest disturbance. Ectomycorrhizal fungi averaged 90 years for recovery to old‐growth values (between 45 years and unrecoverable at 95% prediction limits), and epiphytic lichens took 180 years to reach 90% of old‐growth values (between 140 years and never for recovery to old‐growth values at 95% prediction limits). Non‐saproxylic beetle richness, in contrast, decreased as stand age of broadleaved forests increased. The slow recovery by some functional groups essential to ecosystem functioning makes old‐growth forest an effectively irreplaceable biodiversity resource that should be exempt from biodiversity offsetting initiatives.     

Spatial patterns of carbon,biodiversity, deforestation threat,and REDD+ projects in Indonesia

There are concerns that Reduced Emissions from Deforestation and forest Degradation (REDD+) may fail to deliver potential biodiversity cobenefits if it is focused on high carbon areas. We explored the spatial overlaps between carbon stocks, biodiversity, projected deforestation threats, and the location of REDD+ projects in Indonesia, a tropical country at the forefront of REDD+ development. For biodiversity, we assembled data on the distribution of terrestrial vertebrates (ranges of amphibians, mammals, birds, reptiles) and plants (species distribution models for 8 families). We then investigated congruence between different measures of biodiversity richness and carbon stocks at the national and subnational scales. Finally, we mapped active REDD+ projects and investigated the carbon density and potential biodiversity richness and modeled deforestation pressures within these forests relative to protected areas and unprotected forests. There was little internal overlap among the different hotspots (richest 10% of cells) of species richness. There was also no consistent spatial congruence between carbon stocks and the biodiversity measures: a weak negative correlation at the national scale masked highly variable and nonlinear relationships island by island. Current REDD+ projects were preferentially located in areas with higher total species richness and threatened species richness but lower carbon densities than protected areas and unprotected forests. Although a quarter of the total area of these REDD+ projects is under relatively high deforestation pressure, the majority of the REDD+ area is not. In Indonesia at least, first‐generation REDD+ projects are located where they are likely to deliver biodiversity benefits. However, if REDD+ is to deliver additional gains for climate and biodiversity, projects will need to focus on forests with the highest threat to deforestation, which will have cost implications for future REDD+ implementation.     

Accumulation of metallic elements by Amanita muscaria from rural lowland and industrial upland regions

ABSTRACT

This study was carried out on the accumulation and occurrence of Ag, Al, Ba, Ca, Cd, Co, Cu, Fe, Hg, K, Mg, Mn, Na, Rb, Sr and Zn in the mushroom Amanita muscaria and forest topsoil from two lowland sites in the Tuchola Pinewoods in the north-central region and an upland site in the ?wietokrzyskie Mountains in the south-central region of Poland. Topsoil from the upland location showed Ag, Al, Ba, Ca, Cd, Co, Cu, Fe, Hg, Na and Zn at significantly higher concentration levels (pseudo-total fraction and often also the labile or extractable fraction) than at both lowland locations, where topsoil was richer in Mg, and similar in Rb. Amanita muscaria from the upland region differed from individuals collected in the lowland sites by higher concentration levels of Cd, Cu, Hg and Mn in caps. This could be related to higher concentration levels of the metallic elements in topsoil in the upland region. On other side, A. muscaria from the upland site was poorer in Co and Fe in caps, and in Ca, Co, Fe and Sr in stipes. In spite of the differences in content of the geogenic metallic elements in topsoil between the lowland and upland locations, A. muscaria from both regions was able to regulate uptake and accumulation of Ag, Al, Ba, Ca, K, Mg, Na, Rb and Zn, which were at similar concentration levels in caps but not necessarily in stipes.     

Predicting Extinction Risk of Brazilian Atlantic Forest Angiosperms

Understanding how plant life history affects species vulnerability to anthropogenic disturbances and environmental change is a major ecological challenge. We examined how vegetation type, growth form, and geographic range size relate to extinction risk throughout the Brazilian Atlantic Forest domain. We used a database containing species‐level information of 6,929 angiosperms within 112 families and a molecular‐based working phylogeny. We used decision trees, standard regression, and phylogenetic regression to explore the relationships between species attributes and extinction risk. We found a significant phylogenetic signal in extinction risk. Vegetation type, growth form, and geographic range size were related to species extinction risk, but the effect of growth form was not evident after phylogeny was controlled for. Species restricted to either rocky outcrops or scrub vegetation on sandy coastal plains exhibited the highest extinction risk among vegetation types, a finding that supports the hypothesis that species adapted to resource‐limited environments are more vulnerable to extinction. Among growth forms, epiphytes were associated with the highest extinction risk in non‐phylogenetic regression models, followed by trees, whereas shrubs and climbers were associated with lower extinction risk. However, the higher extinction risk of epiphytes was not significant after correcting for phylogenetic relatedness. Our findings provide new indicators of extinction risk and insights into the mechanisms governing plant vulnerability to extinction in a highly diverse flora where human disturbances are both frequent and widespread. Predicción del Riesgo de Extinción de Angiospermas del Bosque Atlántico Brasileño     

基于时间序列MODIS数据的贵州省森林物候地域分异

森林物候是气候与环境变化的重要指示器,对于陆地植被生态环境监测具有重要的意义。以2011～2013年的MODIS NDVI(归一化植被指数)为时间序列数据,采用Savizky-Golay(S-G)滤波平滑和动态阀值法,提取出贵州省2012年森林物候的生长起始日期(SOS)、生长结束日期(EOS)、生长季长度(LOS)和生长季振幅(AOS)4个参数,分别将提取的森林物候参数与经度、纬度和海拔做相关性分析。研究结果显示:(1)贵州省森林物候参数与纬度相关性整体较弱,因此贵州省森林物候纬度地带性地域分异的不显著;(2)贵州省森林物候生长起始期、生长季长度与经度呈极显著相关,而森林物候生长结束期与经度呈低度相关,整体上贵州省森林物候参数海陆(经度)地带性地域分异显著;(3)贵州省森林物候生长起始期、生长结束期与海拔呈显著相关,而森林物候生长季长度与海拔呈极显著相关,因此贵州省森林物候参数垂直(海拔)地带性地域分异的十分显著。     

三峡库区乔木林生物量和碳储量的估算

以三峡库区为研究地点,建立库区优势树种立木生物量模型,并测定乔木含碳系数,结合库区第7次和第8次森林资源连续清查数据,估算了整个三峡库区乔木林的生物量和碳储量。研究结果表明:(1)整个库区乔木林生物量和碳储量第7次调查为12 583×104t和6 471×104t,单位面积生物量75.70t/hm2,碳密度38.93t/hm2,第8次调查为14 253×104t和7 396×104t,单位面积生物量77.46t/hm2,碳密度40.20t/hm2。可见,这5a中,三峡库区生物量和碳储量都有所增加。(2)对于不同森林植被类型来说,松类的生物量和碳储量都显著高于其他类型,分别占三峡库区生物量和碳储量的40%和50%。(3)三峡库区森林植被生物量和碳储量随龄级增大先增大后减少,在中龄林时达到最大,比较两次调查的生物量和碳储量,森林植被主要以幼林龄和中龄林占优。(4)两次调查显示三峡库区森林植被生物量和碳储量主要分布在天然林中,对于碳汇起到主要作用,同时,人工林所占的比例有所提高,其碳汇能力也逐步提高。     

森林生态系统对大气氮沉降降低的响应

大气氮沉降是全球变化的重要影响因素之一,而过量氮沉降导致森林出现氮饱和,引起土壤酸化、硝酸根淋溶、氧化亚氮排放增加、植物物种多样性和植被生产力下降.在欧洲、北美和我国大气氮沉降降低的背景下,总结森林生态系统对氮输入降低的响应,不仅能够完善氮沉降对森林生态系统影响的知识体系,也能评估各国已开展的减排行动的成效,为我国制定进一步的减排政策提供科学依据.回顾了欧洲和北美的温带森林以及我国亚热带森林的土壤、地表水、氮循环和植被对大气含氮污染气体和氮沉降降低的响应.土壤溶液中硝酸根浓度对氮沉降的减少响应迅速,但具体响应规律未出现统一趋势.土壤酸化和氮循环过程从高氮沉降中的恢复过程出现滞后现象.森林氮矿化和固持、土壤碳储量和净初级生产力可能需要几十年的时间对氮沉降的减少作出响应.相对而言,虽然有一两年的延迟,土壤无机氮库和氮淋溶量会随着氮沉降的下降而下降.地表水氮浓度与森林生态系统氮状态密切相关.当氮沉降降低时,在历史高氮沉降地区,森林生态系统的氮淋溶下降,因此地表水氮浓度的响应较明显.而在氮缺乏的森林中,普遍较低的地表水氮浓度受到氮沉降变化的影响不显著.地表水酸化的恢复受到土壤硫解吸-矿化和硝化...     

气候变化背景下人类活动对承德接坝区植被净初级生产力的影响

承德接坝区位于农牧过渡区,对气候变化和人类活动极为敏感.以植被净初级生产力(NPP)作为评价指标,基于Thornthwaite Memorial模型计算潜在NPP和MODIS NPP遥感影像获取实际NPP数据,利用潜在NPP与实际NPP间的差值衡量人类活动作用下NPP的大小,运用Slope趋势和变异系数法分析实际NPP、潜在NPP和人类活动作用下NPP的变化趋势及稳定性分布,并采用相关系数法分析实际NPP与年降水量和年均气温间的相关性,最终量化气候变化和人类活动对该区域植被变化的影响.结果表明,潜在NPP自西北向东南递增,其变化趋势和稳定性均为自西向东递增.实际NPP与年降水量和年均气温呈正相关区域面积占比分别是99.87%和91.66%.该区域99.85%的植被得到改善且变化稳定,主要是由气候因素和人类活动共同主导(99.71%),而植被退化完全是由人为因素所导致(0.15%).