生物多样性保护优先区对重庆苔藓植物多样性保护的重要性

生物多样性保护优先区的生物多样性十分丰富, 对于生物多样性保护具有重要意义。本文基于野外调查数据和文献资料, 整合大巴山和武陵山两个中国生物多样性保护优先区重庆境内的苔藓植物名录, 通过分析物种丰富度、中国特有种和受威胁物种, 比较了这两个地区的苔藓植物组成特点和相似性。结果显示, 两个保护优先区重庆境内共有苔藓植物77科221属722种, 其物种数分别占重庆市和中国苔藓植物总种数的76.0%和23.9%。两个区域分布有中国特有苔藓植物56种, 占中国苔藓植物总种数的1.9%; 分布有极危苔藓植物1种、濒危4种和易危3种。科、属、种的Jaccard相似性系数分别为0.7、0.6和0.3, 表明两个区域物种组成差异较大。大巴山和武陵山两个中国生物多样性保护优先区都具有较高的苔藓植物物种多样性, 其种类组成具有一定代表性, 对重庆市和中国苔藓植物多样性保护具有重要价值。     

祁连山不同景观类型中苔藓植物物种多样性研究

通过对祁连山不同景观类型中的苔藓植物进行样方调查与物种组成统计,采用物种相似性系数、多样性指数对苔藓植物物种多样性进行了分析。结果表明,30个10 m×10 m的样地内共计苔藓植物19科34属48种,其中优势科(≥3种)有6科,含19属31种,分别占本地区苔藓植物总属数和总种数的55.88%和64.58%。在5种景观类型中,针叶林带和高山灌丛带分布的苔藓植物物种相似性最高(相似性系数为0.5357);河岸带和高山草甸带分布的苔藓植物物种相似性最低(为0),表现出祁连山地区苔藓植物分布的丰富性和复杂性;高山灌丛带分布的苔藓植物物种多样性指数最高,但针叶林带苔藓植物最为丰富,是祁连山苔藓物种多样性保护的关键区域。     

高强度开发地区鸟类自然保护地保护空缺识别——以天津市为例

高强度开发地区因长期受到人类活动干扰,自然生境退化严重,生物多样性受到严重威胁,区域内自然保护地保护效率亟待提升。科学评价高强度开发地区自然保护地保护效率、识别生物多样性保护热点与空缺地区,对城镇化建设可持续发展具有重要意义。本研究以鸟类作为生物多样性指示物种,运用MaxEnt与InVEST模型分别计算天津市鸟类多样性及生境质量热点地区,并与现有自然保护地边界进行比较,精确识别保护空缺区域。结果表明：参与本研究MaxEnt模型建模的鸟类共19目54科228种;滨海地区各类自然与人工湿地为天津市鸟类最适宜生境,占天津市鸟类多样性热点地区的66.8%,且水库、鱼塘等人工湿地因食物来源充足,鸟类生境适宜度较高,表明适度的人工建设有利于提升鸟类多样性;天津市自然保护地对鸟类多样性热点地区覆盖率仅为37.7%,存在较为严重的保护空缺,空缺区域主要包括大神堂及临港地区湿地、河流交汇处及入海口湿地,是未来需进行重点保护的关键区域。采用两种模型协同分析的方法,能提高保护空缺区域识别精度,对高强度开发地区提高生物多样性保护效率具有一定普适性。     

浙江西天目山30年来苔藓物种多样性变化

苔藓物种多样性变化对苔藓植物保护和森林生态系统健康起着重要的预警作用.基于1977-1980年和2010-2011年对西天目山国家自然保护区苔藓植物的两次详细调查,本文比较了该地区1977-2011年间苔藓植物物种多样性的变化.结果表明:(1)在过去的30年间,该地区苔藓植物的科、属、种数均呈下降趋势,苔类植物的属、种数减少尤为显著;(2)青藓科、曲尾藓科、灰藓科和丛藓科一直为该地区的优势科;(3)科的稳定性均高于属、种;(4)缓冲区的总物种数变化最大,新增物种数最多;核心区(进山门-老殿)苔藓植物种类始终最为丰富,两个时期的物种相似性最高,且苔类占新增物种数百分比最高;核心区(老殿-仙人顶)苔藓物种数最少,相似性最低;(5)核心区的物种多样性要高于缓冲区,是该地区保护苔藓植物多样性的关键区域.     

基于生物多样性和生态系统服务的青藏高原保护优先区和保护空缺识别

协同生物多样性保护和生态系统服务功能维持对制定系统性保护规划具有重要意义。研究以青藏高原为研究区,应用Maxent模型模拟了重点植物的空间分布,结合世界保护联盟(IUCN)重点动物空间分布数据和生态系统服务空间分布,利用Zonation模型依次识别了基于单一因素的保护优先区以及集成生物多样性和生态系统服务的保护优先区,评估了青藏高原现有自然保护地对保护优先区、重要物种及生态系统服务的保护状况和保护空缺。结果表明:(1)青藏高原保护优先区保护价值呈现由东南向西北递减趋势,优先区主要分布在青藏高原东南缘喜马拉雅山地、雅鲁藏布江中游河谷及横断山区等区域,生物多样性保护优先区和生态系统服务保护优先区分布略有差异,存在43.2%的空间重叠;(2)在重要物种保护上,自然保护地对两栖动物的保护率最高,平均保护了38.2%,哺乳动物次之(24%),爬行动物的保护率较低,仅为10.2%。对生态系统服务功能覆盖率分别是44.1%(防风固沙)、27.1%(水源涵养)、22.3%(土壤保持)、17.1%(碳固定)和16.6%(洪水调蓄);(3)自然保护地对研究识别的保护优先区存在保护空缺,仅覆盖了26.8%的集成保护优先区,Ⅰ级、Ⅱ级和Ⅲ级优先区保护空缺面积占青藏高原面积的7.2%、6.9%和7.7%。研究结果可为青藏高原以国家公园为主体的自然保护地体系优化提供科学依据与理论支撑。     

重庆大巴山国家级自然保护区苔藓植物多样性

大巴山国家级自然保护区是我国35个生物多样性优先保护区域之一, 但苔藓植物的相关研究仍是空白。本文在详细的野外调查基础上, 记录该保护区苔藓植物57科141属390种, 其中苔类21科31属82种, 藓类36科110属308种, 新增重庆市苔藓植物新记录80种。物种多样性最丰富的科(种数≥ 10种)分别是青藓科、丛藓科、灰藓科、真藓科、提灯藓科和曲尾藓科, 共占总种数的41.03%。物种多样性最丰富的属(种数≥ 10种)分别是青藓属(Brachythecium)、真藓属(Bryum)、绢藓属(Entodon)、光萼苔属(Porella)和耳叶苔属(Frullania), 共占总种数的15.64%。在海拔1,000-2,480 m之间, 苔藓植物的物种多样性呈现随海拔升高先增加后减少的趋势, 其中, 在海拔1,200-1,600 m段物种最为丰富, 建议将这一地带进行优先保护。     

北京百花山自然保护区不同植被地面生苔藓植物物种多样性

采用相似性系数和物种多样性指数对北京百花山自然保护区8种植被内地面生苔藓植物的物种多样性进行了研究,得知8种植被中地面生苔藓植物有13科31属65种（含种以下的单位）,优势科6科,优势种12种。不同植被中苔藓植物的物种组成、优势科和优势种不同,丛藓科和真藓科植物在草甸和灌丛内占绝对优势,而森林植被内的绢藓科为绝对优势科;油松林和落叶阔叶混交林的物种相似性最高为51.63,草甸和荆条灌丛与大部分植被的物种相似为0。地面生苔藓植物的分布与其生长的基质相关性最大,另外水分条件、小生境、草本层盖度和凋落物盖度等也影响地面生苔藓植物的分布。白桦林和落叶阔叶混交林应成为生物多样性保护的重点植被类型。     

佛坪国家自然保护区地面生苔藓植物物种多样性

通过对秦岭南坡佛坪国家自然保护区地面生苔藓植物的调查,采用相似性系数、重要值、多样性指数对其进行物种多样性的研究。结果表明:29个样地内地面生苔藓植物共33科69属189种,包括苔类植物7科8属15种和藓类植物26科61属174种,其中青藓科是最优势的科。落叶阔叶栎(Quercus)林下地面生苔藓植物的物种多样性最高,其次是落叶阔叶桦(Betula)林带、竹林、针叶林和沟谷岩石,杜鹃(Rhododendron)灌丛带的最低。落叶阔叶栎林带和落叶阔叶桦林带的种相似性最高,杜鹃灌丛与其它植被带的种相似性都很低。研究表明秦岭南坡的佛坪国家自然保护区内,低山地区的落叶阔叶栎林带是该地区苔藓植物多样性的分布中心,是物种多样性保护的关键地带;亚高山地区杜鹃灌丛带的苔藓植物物种多样性虽然不高,但种类明显不同于别的地带,所以也应是苔藓植物多样性保护值得注意的地带。     

新疆博格达山地面生苔藓植物物种多样性研究

采用相似性系数和物种多样性指数对新疆博格达山地面生苔藓植物的物种多样性进行了研究．结果表明,博格达山地区苔藓植物区系具有丰富性和复杂性的特点,共有地面生苔藓植物32科73属186种(含变种、变型);山地荒漠带和山地草原带苔藓植物物种相似性最高,为0．6809,山地森林带和高山垫状植被带相似性最低,仅为0．1342;山地森林带苔藓植物在整个博格达山地面生苔藓植物群落中占据优势地位;山地森林带苔藓植物物种多样性最为丰富,为该山地苔藓植物多样性的分布中心,是苔藓植物多样性保护的关键地区．     

中国生物多样性就地保护成效与展望

生物多样性就地保护是指通过开展自然保护地体系的建立与管理, 结合自然保护地以外其他有效的基于区域的保护措施(other effective area-based conservation measures, OECMs), 从而实现物种种群及其栖息地的保护与恢复以及保障和提升生态系统服务的目标。就地保护是实现2020年全球生物多样性保护目标最为重要的措施之一。本文从自然保护地数量与面积、代表性、有效性, 以及其他生物多样性就地保护措施等方面, 整理和综述了国内外近年来的相关报道。总体来看, 我国基本建立了具有中国特色的生物多样性就地保护与管理体系, 实施了各项生物多样性保护恢复措施, 取得了一系列重大进展。自然保护地的面积和数量均呈现上升趋势, 已覆盖陆域国土面积的18%, 对一些重要生态系统及重点保护物种的保护取得了一定成效。正在建设的10处国家公园体制试点提升了部分重点物种的保护连通性。自然保护区总体管理状况相对较好, 保护了90%以上的哺乳动物和97%的兰科植物。此外, 其他有效的基于区域的保护措施亦为生物多样性就地保护贡献了民间力量。在此基础上, 本文对照《中国生物多样性保护战略与行动计划(2011-2030年)》中对“加强生物多样性就地保护”的各项要求, 分析总结了当前我国生物多样性就地保护仍然存在的问题与不足, 具体表现在以下几个方面: 自然保护地整体保护能力仍有待提升; 生物多样性保护优先区域仍然存在保护空缺; 自然保护区管理质量有待提升; 缺乏公共协商机制; 自然保护地以外的其他就地保护工作仍在探索阶段等。在此基础上, 对将来我国生物多样性就地保护提出了进一步建议与展望: (1)制定更为具体和量化的生物多样性就地保护目标; (2)加大力度减少物种受威胁程度, 特别是受关注较少的物种; (3)以保障和提升生态系统服务为目标, 提升生态系统保护修复的系统性与整体性; (4)加强自然保护地以外的生物多样性就地保护; (5)完善长期监测体系, 为生物多样性就地保护成效评估提供数据支撑。本文可为“2020年后全球生物多样性框架”特别是就地保护目标的制定与实施提供参考。     

Vascular plant and bryophytes species representation in the protected areas network on the national scale

The complexity of nature conservation raises questions about biodiversity protection at the level of species as well as their spatial distribution between differently designated nature conservation areas. We have concentrated on comparison of the existing protected areas and recently established conservation initiative areas—Important Plant Areas. We have estimated how well these areas support the protection of two plant groups—bryophytes and vascular plants. We sought answers to the following questions: (a) are there any trends in the distribution of protected bryophyte and vascular plant species in the protected areas network, and (b) does the Important Plant Areas network promote better protection of bryophyte species compared with the existing protected areas network. Our results demonstrated that bryophytes need special care in nature conservation decisions to reach the reasonable conservation target. Important Plant Areas that were targeted to vascular plants have less importance in preserving bryophyte diversity than already existing conservation areas system. Conservation programs like IBA, IPA etc. have their specific tool and outcome to add conservation values to the existing protected areas system.     

Putting bryophyte communities in the map: A case study on prioritizing monitoring of human pressure in riverscapes

Freshwater ecosystems support biological communities with high species richness and conservation interest. However, these ecosystems are highly altered by human intervention and threatened worldwide, making them a priority in conservation planning and biodiversity monitoring. Bryophytes, including several conservation-interest taxa, are recognized indicators of ecological status in freshwaters. We aimed to develop a framework for designing monitoring networks to detect trends in aquatic and semi-aquatic bryophyte communities, prioritizing high-conservation interest communities in different contexts of human pressure (specifically, resulting from the intersection of two criteria: (i) protection status and (ii) presence of a potential impact area).The framework consists of three steps: (1) Spatial modelling of biodiversity; (2) Spatial conservation prioritization; and (3) Model-assisted monitoring network design. Community-level modelling was used to model the distribution of the main bryophyte assemblages in the study area. A conservation prioritization software was utilized to identify areas with high conservation value. The monitoring network was designed using stratified random sampling and unequal-probability sampling techniques to target high conservation value sites distributed across different contexts of human pressure.We have identified four distinct community types, each characterized both by a small group of common and dominant species, and by small group of rarer, conservation-interest species. This typification of four species assemblages occurring in the study area, also highlighted those with potentially higher conservation-interest. The most valuable areas for the conservation of aquatic and semi-aquatic bryophyte communities coincide with specific environmental zones: mountainous areas in Lusitania, large watercourses in the Mediterranean North and some locations in the Mediterranean Mountains. Finally, we obtained a potential monitoring network consisting of 64 monitoring points, unequally distributed across different contexts of human pressure, privileging locations with higher conservation value.The framework presented here illustrates the potential of combining biodiversity modelling, spatial conservation prioritization and monitoring design in the development of monitoring networks. Namely, this framework allowed us to counter data deficiencies, to identify high priority areas to monitor and to design a monitoring network considering different scenarios of human pressure at a regional scale.This framework can also be valuable for conservation efforts as an approach to monitoring conservation-interest biodiversity features in anthropogenically modified riverscapes, which present different degrees of human pressure and the cumulative effects of these different impact elements. Moreover, this approach allows for the comprehensive monitoring of biodiversity values important for management at the national and regional levels. In addition, this framework is one of the first efforts in the development of monitoring networks that target aquatic and semi-aquatic bryophyte communities, a long-neglected plant group of high ecological and conservation importance in freshwater ecosystems.     

Determinants of stream bryophyte community structure: bringing ecology into conservation

相似文献   

Climate change affects Galliformes taxonomic,phylogenetic and functional diversity indexes,shifting conservation priority areas in China

Aim

Comprehensive biodiversity protection necessitates the consideration of multiple indexes of diversity, and how the distribution patterns of priority areas may shift under climate change. Galliformes is a globally endangered avian order vulnerable to climate change that provide an important indicator for wildlife conservation effectiveness. Here, we identified priority areas for conserving Galliformes taxonomic, phylogenetic, and functional diversity in China and their spatial dynamics subject to climate change, and examined how well existing protected areas align with current and future priority areas.

Location

China.

Methods

We applied species distribution modelling and Zonation algorithms to identify conservation priority area dynamics for 47 galliform species across three biodiversity indexes subject to three future climate change scenarios to 2050s and 2070s. We overlaid these identified priority areas onto existing national nature reserves and national parks to assess and project their effectiveness.

Results

Current priority areas proved spatially incongruent between indexes, with an optimal area overlap comprising just 10.3% of China's land area, lying largely outside of existing protected areas. Furthermore, over 80% of modelled optimal priority areas currently lacked formal conservation status. Future priority areas will shift substantially under climate change, to an extent dependent on greenhouse gas emission scenarios. Nevertheless, we identified five large regions where optimal Galliformes diversity indexes should remain stable under all scenarios, thus providing potential climatic refugia, if protected from human encroachment.

Main Conclusions

The current deficits we identified for Galliformes protection in China resonate with a broader need for hierarchical conservation strategic planning across regions and ecosystems to ensure long-term biodiversity protection, accommodating for climate change.     

基于随机森林模型的国家重点保护陆生脊椎动物物种优先保护区的识别

准确可靠地识别国家重点保护陆生脊椎动物物种的优先保护区,是生物多样性保护的热点问题之一。采用随机森林(random forests)模型,基于12个环境变量,对中国263种国家重点保护陆生脊椎动物建模,并预测各个物种在背景点的适生概率,迭加计算得到国家重点保护陆生脊椎动物物种的生境适宜性指数。此外,基于对生境适宜性指数的空间自相关分析,识别和确定国家重点保护陆生脊椎动物物种优先保护区,并对优先保护区目前的被保护情况进行分析。结果表明,国家重点保护陆生脊椎动物物种的优先保护区的面积为103.16万km~2,约占我国国土面积的10.90%。优先保护区主要分布在我国的西部地区,包括西南地区的秦岭-大巴山山区、云南省与印度及缅甸的交界地区、武陵山山区、喜马拉雅山-横断山脉山区、阿尔泰山脉山区、天山山脉山区、昆仑山山脉山区;东北的大、小兴安岭、东北-华南沿海地区及长江中下游地区有少量分布。优先保护区中被保护的面积为50.40万km~2,占优先保护区总面积的48.86%,保护率偏低,未被充分保护。利用系统聚类分析,将未被保护的优先保护区划分成3种优先保护顺序,以期为相关部门的决策提供科学依据,更好地保护生物多样性。     

基于ZONATION的岷山山系多物种保护规划

空间布局不尽合理是我国的自然保护区发展面临的问题之一,优化现有的自然保护区体系是在资源有限的情况下实现自然保护区的保护效益最大化的最佳途径。以岷山地区为主要研究区域,以25种珍稀濒危物种为主要研究对象,通过MAXENT与ZONATION模型模拟,鉴别出岷山地区珍稀濒危物种保护优先区,并提出了自然保护区空间选址的优化方案。研究结果表明,(1)在物种出现点记录较少的情况下,MAXENT模型依然能够比较准确地预测出物种的分布状况;(2)目前建立的保护区对25个物种的平均保护比例为51.8%;(3)通过ZONATION鉴定的优先区总面积为19958.7 km~2,岷山地区现有的29个自然保护区只保护了目标优先区的47.1%,九寨沟中部与南部,平武北部,平武与北川的交界处,北川西北部等地都存在保护空缺。建议在保护空缺的6个地方新建或扩建自然保护区,并在规划时考虑这些区域内部的优先次序。新提出的保护体系能将物种栖息地的保护比例提高至77.9%。研究结果对于岷山及全国其他生物多样性保护关键地区保护体系的规划都具有重要的借鉴意义。     

不同人类干扰背景下横断山南段保护优先区规划研究

建立自然保护区是保护和维持生物多样性最有效、最基本的措施。在有限的资金和人力条件下,如何参考不同人类干扰在保护优先区建设中的影响并选择合适的保护规划方案,在更大程度上的保护本区域的生物多样性,一直以来都是保护生物学家争论的焦点。以横断山南段区为例,重点关注保护区建设过程中不同的人类干扰程度,以人类干扰的高低为切入点,基于多准则决策分析的原理和方法,以横断山南植被生态系统和人类干扰强度因子为基础,对比分析横断山南的生态系统保护价值分布、人类干扰格局和保护成效,结果显示：一是区域内森林生态系统（针阔混交林、常绿阔叶林、落叶阔叶林、落叶混交林、常绿针叶林）、湿地生态系统（湖泊、河流、草本湿地）、高山生态系统（冰川和永久积雪、高寒草甸、高寒草原）价值高且分值在21分以上;二是从人类干扰高低分析入手,基于维持和提升区域生物多样性的角度出发,提出了不同的保护优先区域和保护策略。三是识别出横断山南段区的保护优先区主要包括峨边县、马边县、石棉县、越西县、保山市、腾冲市、维西县、德钦县、察隅县等区域。     

Synergies and trade‐offs between renewable energy expansion and biodiversity conservation – a cross‐national multifactor analysis

Increased deployment of renewable energy can contribute towards mitigating climate change and improving air quality, wealth and development. However, renewable energy technologies are not free of environmental impacts; thus, it is important to identify opportunities and potential threats from the expansion of renewable energy deployment. Currently, there is no cross‐national comprehensive analysis linking renewable energy potential simultaneously to socio‐economic and political factors and biodiversity priority locations. Here, we quantify the relationship between the fraction of land‐based renewable energy (including solar photovoltaic, wind and bioenergy) potential available outside the top biodiversity areas (i.e. outside the highest ranked 30% priority areas for biodiversity conservation) within each country, with selected socio‐economic and geopolitical factors as well as biodiversity assets. We do so for two scenarios that identify priority areas for biodiversity conservation alternatively in a globally coordinated manner vs. separately for individual countries. We show that very different opportunities and challenges emerge if the priority areas for biodiversity protection are identified globally or designated nationally. In the former scenario, potential for solar, wind and bioenergy outside the top biodiversity areas is highest in developing countries, in sparsely populated countries and in countries of low biodiversity potential but with high air pollution mortality. Conversely, when priority areas for biodiversity protection are designated nationally, renewable energy potential outside the top biodiversity areas is highest in countries with good governance but also in countries with high biodiversity potential and population density. Overall, these results identify both clear opportunities but also risks that should be considered carefully when making decisions about renewable energy policies.