基于土地利用的喀斯特地区生态系统服务功能价值评估——以贵州省为例

为探讨喀斯特地区生态系统服务功能价值特征,对贵州省生态系统服务功能价值进行评估,结果表明生态系统服务功能价值在2005、2010、2020年分别为1 610.43亿、2 357.86亿、4 328.89亿元.贵州省各类生态系统服务功能单价顺序为湿地>水体>森林>草地>农田>荒漠,其中湿地生态系统是荒漠生态系统服务功能价值的149.31倍.2005～2020年贵州省生态服务功能价值结构和土地利用结构以森林生态系统占绝对优势,各类型生态系统服务功能价值顺序为森林>农田>草地>水体>荒漠>湿地,各类型生态系统面积大小顺序为森林>农田>荒漠>草地>水体>湿地.2005、2010、2020年贵州省单位面积生态系统服务功能价值分别为9 142、13 385、24 573元/hm2.根据至2020年的土地利用规划,贵州省生态系统服务功能将持续增加.     

江苏泗洪洪泽湖湿地自然保护区生态服务功能价值评估

在野外实际调查基础上,运用市场价值、影子工程、旅行费用等方法对江苏泗洪洪泽湖湿地自然保护区生态服务功能进行价值评估.结果显示,该保护区生态服务功能年均总价值约为13.97亿元,占泗洪县2005年国民生产总值的20.82%.重要物种栖息地、水分调节以及大气调节生态服务功能价值分别占总价值的27.49%、25.27%、19.33%,是该保护区的主要核心服务功能.泗洪湿地单位面积生态服务功能价值为28 299元·hm-2·a-1,分别为全球和中国湿地平均单位价值的4.09倍、4.85倍.在发展当地经济过程中,必须从该保护区湿地生态系统的基本特征出发,科学合理地保护、开发湿地资源.     

基于遥感与GIS的黄河三角洲绿色空间生态服务价值评估

基于黄河三角洲1987、1997和2007年的TM遥感影像解译数据和野外调查结果,得到研究区三个年度的土地利用空间分布图。然后从土地利用的角度重新审视绿色空间的概念和内涵,建立基于土地利用类型的绿色空间生态评估体系,分析黄河三角洲地区的绿色空间生态服务价值及其变化情况。研究结果表明,1987—2007年间黄河三角洲地区绿色空间土地利用变化显著,其中,水体面积增加明显,农田、林地面积略有增加,湿地和草地面积显著减少,未利用地面积略有减少。土地利用面积的变化直接影响到其生态服务价值的变化,研究期间湿地生态服务价值减少了77.72亿元,草地减少9.00亿元,未利用地减少0.16亿元;水体的生态服务价值增加54.54亿元,农田和林地共增加3.41亿元。研究区绿色空间生态服务价值呈逐年减少的趋势,20年间研究区生态服务价值减少了28.94亿元。通过对绿色空间单项生态服务价值功能重要性进行评价,研究表明黄河三角洲地区单项生态服务价值以湿地、农田和水体占主要地位,这与各单项生态系统的面积及其单位生态服务价值量有关。     

生态湿地技术在非点源污染控制中的工程应用

内江包谷湾梯级湿地工程旨在示范利用生态湿地技术控制农村非点源污染.建设了三块梯级表流湿地,总占地面积4100 m2.旱季及水量较少时通过泵站循环补水,雨季停用泵站,收集周边径流雨水,泵站总循环补水量900 m3/d,湿地停留时间1 d.主要污染物设计去除率如下:NH3-N为20％～40％,COD为30％～50％,BOD...     

苏南丘陵区典型森林生态系统服务价值估算

针对苏南丘陵区杉木、马尾松、毛竹、栎林等4种典型森林生态系统,实测了其主要的生态系统服务功能,运用多种生态经济学方法估算了4种林分的生态服务价值。生态服务价值包括直接使用价值和间接使用价值,间接使用价值包括气体调节、涵养水源、保土固肥、防止水库淤积、营养物质循环、净化环境价值等。研究区杉木、马尾松、栎林、毛竹4种林分的生态系统服务价值中,间接经济价值分别是其直接经济服务价值的1.82、2.12、3.16、4.04倍,单位面积的森林生态系统服务价值分别为192397.30、113262.69、88350.51、103289.69元·hm-2·a-1。在区域研究中,根据地方实测的数据进行估算,能提高计量森林生态服务功能价值的精度。     

基于突变级数法的吉林省生态补偿标准核算

为客观准确地确定各类土地的生态补偿标准,结合已有研究成果,采用突变级数法对生态系统的服务功能价值进行分析与评价,在此基础上提出基于突变理论的各类土地生态系统服务功能价值转换因子、均衡因子和生态补偿标准动态核算模型.应用该模型计算吉林省生态补偿标准,得出2012年吉林省耕地、林地、草地、湿地、水域和未利用地的生态补偿标准分别为1.534 9、2.018 5、1.682 1、2.094 9、1.826 8和0.823 6万元·hm-2,该生态补偿标准符合吉林省经济和社会发展的客观实际情况.基于生态系统服务功能理论和突变理论的生态补偿标准动态核算模型便于应用,具有较高可靠性和普遍适用性.     

南四湖湿地景观格局变化的生态系统服务价值响应

利用1987-2010年5期卫星遥感影像监测南四湖湿地景观格局变化,并且采用市场比较法、影子工程法、工业制氧成本法、碳税法和价值替代法等多种评估方法对南四湖湿地景观格局变化的生态系统服务功能价值响应进行深入探讨.结果表明,南四湖湿地中大量芦苇、荷田等自然湿地景观转化为养殖水域、水稻田等人工湿地,景观格局趋于破碎化;湖泊湿地景观格局变化对于湿地的供给功能、调节功能、文化功能和支持功能均有影响,其中对供给功能和调节功能影响最大.以2010年不变价计算,南四湖湿地景观格局变化导致2010年湿地生态系统服务功能价值比1987年减少3.06亿元,其中大气成分调节功能价值损失11.7亿元,净化功能价值损失3.77亿元,涵养水源功能损失0.65亿元,物质生产功能价值增加13.06亿元,其他功能价值对湿地景观格局变化的响应不明显.     

海南省滨海自然湿地生态系统服务功能价值评估

以海南主岛的滨海自然湿地为研究对象,采用最新的海南省第二次(2009─2013年)湿地资源调查以及海南省统计年鉴(2013年)和相关调查统计资料,构建生态系统服务功能价值评估体系,结合国内外通用的湿地评价方法,对海南省滨海自然湿地生态系统服务功能价值进行了较全面的评估。结果表明,海南省滨海自然湿地生态系统生态服务功能总价值为5 848 665.00万元,其中水文调节价值2 846 803.55万元,固碳价值2 351 567.77万元,动物产品价值1 469 500.00万元,防风消浪价值1 175 287.62万元,生物多样性维持价值985 544.48万元,分别占总价值的31.72%、26.20%、16.37%、13.10%和10.98%,是主要的生态服务功能。文章对海南省滨海自然湿地生态系统所进行的定量评估,不仅可提高人类对滨海自然湿地生态系统的正确认识,还可为湿地资源的合理开发利用以及当地政府湿地保护相关政策的制定提供科学依据。     

森林生态系统生态资产核算的模式与方法

全球变化背景下.植被对CO2的减排作用得到了广泛关注.森林生态系统具有诸多功能,不同功能的货币化基准难以统一,是进行总体生态资产价值定量核算的制约要素.在资源、环境与生态经济原理指导下,分析相关方法评估生态系统生态资产的可行性,选择量化评估参数,并通过多种模式与方法进行估算乌鲁木齐城市2004年森林生态系统的生态资产.森林生态系统涵养水源类、生物多样性维持类、净化空气类、保护土壤类以及大气调节类生态资产分别为0.224 8×108元、10.608 8x108元、0.630 8×108元、0.2592×108元及12.9653×108元,乌鲁木齐市森林生态总资产为24.6889×108元.各类生态资产具有一定的时空差异性.城市森林生态系统生态资产估算模式及方法的研究具有重要的理论价值与现实意义.     

滨海湿地类自然保护区的成本效益研究——以江苏盐城湿地珍禽国家级自然保护区为例

以江苏盐城湿地珍禽国家级自然保护区为例,分析了滨海湿地生态系统所提供的生态系统服务及保护该系统所产生的成本。采用市场价值法、影子工程法和专家评估法估算了保护区内滨海湿地生态系统服务价值。2010年盐城保护区内滨海湿地生态系统产生的保护成本为8.18×109元,其中管理成本为1.95×107元,机会成本为8.16×109元;保护区产生的效益为1.83×1010元。结果表明,盐城保护区获得的效益远大于其付出的成本,盐城保护区的存在具有经济学上的收益优势。因此,在盐城滨海湿地建立自然保护区具有巨大的生态效益,这种优势更多地体现为长期的综合效益,且难以用货币形式直接兑现。对待自然保护区建设与管理应形成整体、长期的理念,不能因短期利益和局部利益而牺牲自然保护区,真正做到对保护区的永久保护和持续利用。     

Rapid,recurring, structured survey versus bioblitz for generating biodiversity data and analysis with a multispecies abundance model

A bioblitz inexpensively and quickly generates biodiversity data, but bioblitzes are often conducted with haphazard, unreplicated sampling. Results tend to be taxonomically, geographically, or temporally biased, lack metadata, and consist of lists of observed taxa that do not enable further analyses or correction for imperfect detection. A rapid, recurring, structured survey (RRSS) uses a structured sampling design and temporal and spatial replication to survey randomly selected sites on a conservation property. We participated in a loosely structured bioblitz and a subsequent RRSS at Big Canoe Creek Nature Preserve in Springville (St. Clair County), Alabama (USA) to compare observed richness derived from the 2 survey approaches. The RRSS data structure enabled us to fit models that accounted for imperfect detection to estimate abundances, occupancy probabilities, and habitat associations. The loosely structured bioblitz data could not be used in such models. We present a new integrated multispecies abundance model that we applied to avian RRSS data. Our model extension enables estimation for the community, employs data augmentation to estimate the number of undetected species, and incorporates covariates. The RRSS generated a more comprehensive and less biased list of observed taxonomic richness than the loosely structured bioblitz (e.g., 73 vs. 45 bird species and 104 vs. 63 insect families from the RRSS vs. loosely structured bioblitz, respectively). Models fit to the RRSS data identified seasonal patterns in avian community composition and allowed for estimation of habitat–occupancy relationships for insect taxa. The RRSS protocol has potential for broad transferability as a standardized, quick, and inexpensive way to inventory biodiversity and estimate ecological parameters while providing an outreach opportunity.     

Compliance with and ecosystem function of biodiversity offsets in North American and European freshwaters

Land-use change via human development is a major driver of biodiversity loss. To reduce these impacts, billions of dollars are spent on biodiversity offsets. However, studies evaluating offset project effectiveness that examine components such as the overall compliance and function of projects remain rare. We reviewed 577 offsetting projects in freshwater ecosystems that included the metrics project size, type of aquatic system (e.g., wetland and creek), offsetting measure (e.g., enhancement, restoration, and creation), and an assessment of the projects’ compliance and functional success. Project information was obtained from scientific and government databases and gray literature. Despite considerable investment in offsetting projects, crucial problems persisted. Although compliance and function were related to each other, a high level of compliance did not guarantee a high degree of function. However, large projects relative to area had better function than small projects. Function improved when projects targeted productivity or specific ecosystem features and when multiple complementary management targets were in place. Restorative measures were more likely to achieve targets than creating entirely new ecosystems. Altogether the relationships we found highlight specific ecological processes that may help improve offsetting outcomes.     

A palaeo-hydrogeological model for arsenic contamination in southern and south-east Asia

An argument is presented in which areas of natural arsenic contamination of modern groundwaters throughout Asia have a common origin. Arsenic originally accumulated in oceanic ferro-manganoan sediments of the eastern Palaeo-Tethys. This was further concentrated through oceanic crustal extinction in what later became the south-east Chinese accreted mineralised terrain. Proto-Himalayan uplift of this area created the palaeo-drainage systems of the Ganges – Brahmaputra, Irrawaddy, Mekong, and Red Rivers, with consequent headwater erosion of arsenic-rich sediments. Their downstream deposition as immature and easily redistributed Neogene sandstones, silts, and iron-rich clays has created secondary and tertiary reservoirs of adsorbed and authigenic arsenic, from which the current arsenic-rich groundwaters have evolved. Considering river basins within the above palaeo-hydrogeological framework provides a basis for assessing the risk of arsenic in groundwater basins of south and south-eastern Asia.     

Cost‐effective conservation of an endangered frog under uncertainty

How should managers choose among conservation options when resources are scarce and there is uncertainty regarding the effectiveness of actions? Well‐developed tools exist for prioritizing areas for one‐time and binary actions (e.g., protect vs. not protect), but methods for prioritizing incremental or ongoing actions (such as habitat creation and maintenance) remain uncommon. We devised an approach that combines metapopulation viability and cost‐effectiveness analyses to select among alternative conservation actions while accounting for uncertainty. In our study, cost‐effectiveness is the ratio between the benefit of an action and its economic cost, where benefit is the change in metapopulation viability. We applied the approach to the case of the endangered growling grass frog (Litoria raniformis), which is threatened by urban development. We extended a Bayesian model to predict metapopulation viability under 9 urbanization and management scenarios and incorporated the full probability distribution of possible outcomes for each scenario into the cost‐effectiveness analysis. This allowed us to discern between cost‐effective alternatives that were robust to uncertainty and those with a relatively high risk of failure. We found a relatively high risk of extinction following urbanization if the only action was reservation of core habitat; habitat creation actions performed better than enhancement actions; and cost‐effectiveness ranking changed depending on the consideration of uncertainty. Our results suggest that creation and maintenance of wetlands dedicated to L. raniformis is the only cost‐effective action likely to result in a sufficiently low risk of extinction. To our knowledge we are the first study to use Bayesian metapopulation viability analysis to explicitly incorporate parametric and demographic uncertainty into a cost‐effective evaluation of conservation actions. The approach offers guidance to decision makers aiming to achieve cost‐effective conservation under uncertainty.     

Threats to intact tropical peatlands and opportunities for their conservation

Large, intact areas of tropical peatland are highly threatened at a global scale by the expansion of commercial agriculture and other forms of economic development. Conserving peatlands on a landscape scale, with their hydrology intact, is of international conservation importance to preserve their distinctive biodiversity and ecosystem services and maintain their resilience to future environmental change. We explored threats to and opportunities for conserving remaining intact tropical peatlands; thus, we excluded peatlands of Indonesia and Malaysia, where extensive deforestation, drainage, and conversion to plantations means conservation in this region can protect only small fragments of the original ecosystem. We focused on a case study, the Pastaza‐Marañón Foreland Basin (PMFB) in Peru, which is among the largest known intact tropical peatland landscapes in the world and is representative of peatland vulnerability. Maintenance of the hydrological conditions critical for carbon storage and ecosystem function of peatlands is, in the PMFB, primarily threatened by expansion of commercial agriculture linked to new transport infrastructure that is facilitating access to remote areas. There remain opportunities in the PMFB and elsewhere to develop alternative, more sustainable land‐use practices. Although some of the peatlands in the PMFB fall within existing legally protected areas, this protection does not include the most carbon‐dense (domed pole forest) areas. New carbon‐based conservation instruments (e.g., REDD+, Green Climate Fund), developing markets for sustainable peatland products, transferring land title to local communities, and expanding protected areas offer pathways to increased protection for intact tropical peatlands in Amazonia and elsewhere, such as those in New Guinea and Central Africa which remain, for the moment, broadly beyond the frontier of commercial development.     

Parasitic wasps orient to green leaf volatiles

Summary Undamaged plants emit low levels of green leaf volatiles (GLVs), while caterpillar-damaged and artificially damaged plants emit relatively higher levels of certain GLVs. Female braconid parasitoids,Microplitis croceipes, oriented to both damaged plants and to individual GLVs in no-choice tests in a wind tunnel, but seldom oriented to undamaged plants. Female ichneumonid parasitoids,Netelia heroica, also oriented to individual GLVs in a wind tunnel. Males of both wasp species failed to orient to the GLVs. These data show that leaf-feeding caterpillars can cause the release of GLVs, and that parasitic wasps can respond to these odors by flying upwind (chemoanemotactic response), which brings the wasps to their caterpillar hosts. This supports the hypothesis that plants communicate with members of the third trophic level,i.e., plants under herbivore attack emit chemical signals that guide natural enemies of herbivores to sites of plant damage. In this interaction, the GLVs serve as tritrophic plant-to-parasitoid synomones. That parasitoids from two different wasp families oriented to GLVs suggests that the response may be widespread among the Hymenoptera.Mention of a commercial or proprietary product does not constitute an endorsement by the U.S. Department of Agriculture     

Human Influence and Classical Biogeographic Predictors of Rare Species Occurrence

Biogeographic theory predicts that rare species occur more often in larger, less‐isolated habitat patches and suggests that patch size and connectivity are positive predictors of patch quality for conservation. However, in areas substantially modified by humans, rare species may be relegated to the most isolated patches. We used data from plant surveys of 81 meadow patches in the Georgia Basin of Canada and the United States to show that presence of threatened and endangered plants was positively predicted for patches that were isolated on small islands surrounded by ocean and for patches that were isolated by surrounding forest. Neither patch size nor connectivity were positive predictors of rare species occurrence. Thus, in our study area, human influence, presumably due to disturbance or introduction of competitive non‐native species, appears to have overwhelmed classical predictors of rare species distribution, such that greater patch isolation appeared to favor presence of rare species. We suggest conservation planners consider the potential advantages of protecting geographically isolated patches in human‐modified landscapes because such patches may represent the only habitats in which rare species are likely to persist. Influencia Humana y Predictores Biogeográficos Clásicos de la Ocurrencia de Especies Raras     

Seasonal dynamics of macro-algae in the South Lake of Tunis

The macro-algae communities observed in the south lake of Tunis are characterized by the predominance of nitrophilous algae which are in the order of biomass importance:Ulva, Cladophora andEnteromorpha. We have noted seasonal changes of alga distribution. The wind appears to be one of the most important factors influencing this distribution. The total biomass reaches a maximum in the spring. Rapid decomposition of the biomass leads to a severe ecological imbalance, resulting in crises of anoxia and fish death. A restoration project has already started. It aims at removal of contaminated muds and the introduction of a new circulation system. The main objectives of this work were to collect information on the distribution and biomass of the phytobenthic communities as a first step in the constitution of a database for further comparison.     

Patterns and biases of climate change threats in the IUCN Red List

International Union for Conservation of Nature (IUCN) Red List assessments rely on published data and expert inputs, and biases can be introduced where underlying definitions and concepts are ambiguous. Consideration of climate change threat is no exception, and recently numerous approaches to assessing the threat of climate change to species have been developed. We explored IUCN Red List assessments of amphibians and birds to determine whether species listed as threatened by climate change display distinct patterns in terms of habitat occupied and additional nonclimatic threats faced. We compared IUCN Red List data with a published data set of species’ biological and ecological traits believed to infer high vulnerability to climate change and determined whether distributions of climate change‐threatened species on the IUCN Red List concur with those of climate change‐threatened species identified with the trait‐based approach and whether species possessing these traits are more likely to have climate change listed as a threat on the IUCN Red List. Species in some ecosystems (e.g., grassland, shrubland) and subject to particular threats (e.g., invasive species) were more likely to have climate change as a listed threat. Geographical patterns of climate change‐threatened amphibians and birds on the IUCN Red List were incongruent with patterns of global species richness and patterns identified using trait‐based approaches. Certain traits were linked to increases or decreases in the likelihood of a species being threatened by climate change. Broad temperature tolerance of a species was consistently related to an increased likelihood of climate change threat, indicating counterintuitive relationships in IUCN assessments. To improve the robustness of species assessments of the vulnerability or extinction risk associated with climate change, we suggest IUCN adopt a more cohesive approach whereby specific traits highlighted by our results are considered in Red List assessments. To achieve this and to strengthen the climate change‐vulnerability assessments approach, it is necessary to identify and implement logical avenues for further research into traits that make species vulnerable to climate change (including population‐level threats).