Spatial cost–benefit analysis of blue restoration and factors driving net benefits globally

Marine coastal ecosystems, commonly referred to as blue ecosystems, provide valuable services to society but are under increasing threat worldwide due to a variety of drivers, including eutrophication, development, land-use change, land reclamation, and climate change. Ecological restoration is sometimes necessary to facilitate recovery in coastal ecosystems. Blue restoration (i.e., in marine coastal systems) is a developing field, and projects to date have been small scale and expensive, leading to the perception that restoration may not be economically viable. We conducted a global cost–benefit analysis to determine the net benefits of restoring coral reef, mangrove, saltmarsh, and seagrass ecosystems, where the benefit is defined as the monetary value of ecosystem services. We estimated costs from published restoration case studies and used an adjusted-value-transfer method to assign benefit values to these case studies. Benefit values were estimated as the monetary value provided by ecosystem services of the restored habitats. Benefits outweighed costs (i.e., there were positive net benefits) for restoration of all blue ecosystems. Mean benefit:cost ratios for ecosystem restoration were eight to 10 times higher than prior studies of coral reef and seagrass restoration, most likely due to the more recent lower cost estimates we used. Among ecosystems, saltmarsh had the greatest net benefits followed by mangrove; coral reef and seagrass ecosystems had lower net benefits. In general, restoration in nations with middle incomes had higher (eight times higher in coral reefs and 40 times higher in mangroves) net benefits than those with high incomes. Within an ecosystem type, net benefit varied with restoration technique (coral reef and saltmarsh), ecosystem service produced (mangrove and saltmarsh), and project duration (seagrass). These results challenge the perceptions of the low economic viability of blue restoration and should encourage further targeted investment in this field.     

Shared governance arrangements and social connectivity: advancing large-scale coastal and marine conservation initiatives in the Dominican Republic

Increasingly, large-scale conservation initiatives (e.g. through protected area networks and transboundary connectivity initiatives) are growing in prevalence as their diverse sustainability benefits are further understood. Conventional, centralized approaches to conservation, often featuring unconnected discrete ‘patches’, are no longer sufficient for achieving effective, long-term protection. The purpose of this study was to gain a better understanding of how to achieve effective large-scale conservation initiatives by addressing the following objectives: (1) To assess the degree to which local actors are involved in coastal and marine conservation practices, with a focus on large-scale conservation initiatives (LCIs); and, (2) To identify barriers and opportunities for achieving effective large-scale conservation. This paper presents findings from research in the Dominican Republic where social-ecological components of coastal and marine systems are considered from multiple perspectives to advance management and increase effectiveness of LCIs. Data were acquired through semi-structured interviews with 35 coastal and marine actors (e.g. fishers, ministers, non-governmental organizations, practitioners, academics) working at local to international scales. Interview data were analysed through thematic coding using QSR-Nvivo 12 software. Respondents expressed that non-governmental actors (e.g. private organizations, coastal communities) should have an increased role in developing, implementing and managing coastal and marine LCIs. Additionally, respondents commented on strategies to enhance social connectivity (i.e. sharing experiences, programs and expertise) within coastal and marine practices to enhance effectiveness and facilitate learning. Findings contribute to the understanding of complex coastal and marine social-ecological systems of the Dominican Republic and provide further support for involving multiple actors in governance processes.     

基于DNDC模型评估水位变化对滨海湿地净生态系统CO2交换的影响

水位是影响滨海湿地生态系统蓝碳功能的重要因素。气候变化引起的海平面上升以及极端气候事件的频发,可能加快水位的变化,从而改变生态系统碳交换的过程。然而,滨海湿地碳汇功能响应水位变化的机制尚不清楚。为了评估水位对滨海湿地净生态系统CO₂交换(NEE)特征的影响,以及验证DNDC(denitrification-decomposition)模型对模拟预测滨海湿地生态系统碳交换的适用性,该研究设计了野外水位控制试验(自然水位,地下20 cm水位、地表10 cm水位),并利用DNDC模型模拟和预测水位变化对滨海湿地NEE的影响。结果表明:(1)不同水位处理之间NEE差异显著,地表10 cm水位处理促进CO₂吸收,地下20 cm水位则抑制CO₂吸收;(2)经过校准和验证的DNDC模型可以准确模拟水位变化对黄河三角洲湿地NEE的影响,NEE模拟值的日动态与田间观测结果显著相关(R²>0.6);(3)通过改变气候、土壤和田间管理等输入参数对DNDC模型进行灵敏度检验,生态系统碳交换过程对日均温、降雨和水位改变的响应最为显著,其中,水位对NEE的影响主要作用于土壤呼吸(Rs)。未来气候情境下,不同水位变化下的生态系统碳交换过程随年份增长呈现不同的规律,因此未来的模拟研究应关注DNDC中水文模块和植被演替过程的完善。该研究可为预测水文变化情境下滨海湿地碳汇功能的未来发展以及政策制定提供参考。     

河北省不同盐渍化土壤类型的微生物多样性与种群结构

为了探索盐渍化土壤中微生物多样性及群落构成，有效筛选盐渍土壤中耐盐微生物菌群.采用高通量测序技术对采集的河北省滨海盐渍土（原生盐渍化）、设施盐渍土（次生盐渍化）和高产粮田（健康土壤）3个生境的耕层土壤样本细菌和真菌多样性、群落结构、网络关系及其影响因子进行测定.结果表明，与大田土壤相比，设施土壤中OM、AP、AK、TS和EC显著升高，滨海盐渍土壤的TS和EC显著升高，其他养分指标则显著降低.细菌α多样性依次为：设施盐渍土>高产粮田>滨海盐渍土，真菌α多样性则为高产粮田显著高于设施盐渍土和滨海盐渍土.在门和属水平上分析盐渍化土壤的菌群结构，细菌群落中绿弯菌门（Chloroflexi）及其菌属和真菌群落中子囊菌门（Ascomycota）及其中有益菌Trichocladium和病原菌Fusarium为盐渍化土壤中的优势微生物类群.土壤EC和TS两个盐分因子是对细菌和真菌菌群分布贡献最大的因子，与绿弯菌门中unclassified_A4b和unclassified_Chloroflexi以及变形菌门中unclassified_α-Proteobacteria等细菌菌属和子囊菌门中Trichocladium、unclassified_Chaetomiaceae、Crassicarpon、Cephaliophora和Sodiomyces等真菌菌属呈显著正相关.研究结果为盐渍化土壤修复所需的微生物资源筛选提供了理论依据.     

福建沿海地区大气悬浮颗粒物及颗粒态汞的时空分布研究

2010年4月-2011年3月,对福建省厦门至泉州沿海地区大气中悬浮颗粒物（PM10）和颗粒态汞（TPM）进行为期一年的观测,结果表明其大气中PM10和TPM的浓度范围分别为6.4～426.5μg／m3和18.2～3879.4 pg／m3,PM10和TPM平均浓度分别为122.5μg／m3和947.9pg／m3。不同采样点PM10和TPM浓度的季节变化趋势稍有不同,但大致都呈冬高夏低的趋势。PM10和TPM浓度的季节变化趋势主要与气温、逆温层、降雨量等气象条件有关。同时研究分析了TPM的昼夜变化趋势,结果表明TPM浓度在春冬季主要表现为夜间浓度高于日间浓度,夏秋季则为日间浓度高于夜间浓度。     

天津地区相对海平面变化最新进展及发展趋势分析

相对海平面上升是一个缓慢、渐进过程,但长期的积累可以使得上升幅度相当可观,从而加剧风暴潮、海岸侵蚀、海水入侵和咸潮等灾害致灾程度。基于验潮位监测和卫星观测结果显示,全球海平面在20世纪中期平均上升1.5~2.0 mm/a,而近30年中国沿海海平面上升速率为2.6~2.7 mm/a,高于全球平均值。渤海湾天津地区由于地面沉降显著,而导致相对海平面大幅度上升。滨海地区地面沉降速率在未来50至100年内可能会稳定在1.0~2.0 cm/a范围,结合目前海平面上升速率2.7 mm/a,总的相对海平面上升速率处于12.7~22.7 mm/a范围。由此估计,到2050年,天津地区相对海平面将比2012年高出48.3~86.3 cm,而到2100年,将比2012年高出111.8~199.8 cm。     

氟磺隆水解动力学研究

采用试验室内模拟试验的方法,研究不同pH的缓冲溶液和不同自然水体对氟磺隆水解的影响。实验结果表明,不同pH缓冲溶液和不同自然水体对氟磺隆水解速率均有不同程度的影响。在碱性条件下氟磺隆的水解速率最快,半衰期为0.2 d,酸性条件下次之,半衰期为6.0 d,在中性条件下水解较慢,半衰期为15.7 d,而在不同自然水体中氟磺隆的降解速率为:伊通河水稻田水青湖水蒸馏水。     

长江近口段沿岸刀鲚生物量的时间格局

为了解长江刀鲚Coilia nasus资源的变动状况,探讨沿岸水域对刀鲚资源的保育作用,于2002~2013年间用定制张网对长江靖江段沿岸鱼类作了每月2~3个样本的采集。分析结果显示,12a采集的369份样品中,刀鲚的出现频率达94.6%,分别占总渔获数量和重量的5.18%和5.46%。刀鲚平均CPUEN和CPUEW有16.7±19.9尾和106.6±109.5g,是沿岸鱼类群聚的优势种或次优势种。但其年资源量并不稳定,最高的2010年是最低2002年的5.4陪。平均体长123.6±37.0mm,平均体重仅7.5±8.2g。0+龄组占78.9%,1+龄组占20.7%,2+龄仅出现在4、5月份,且仅占当月个体数的3.0%,幼体是沿岸刀鲚群体的主要组成成分。从0+龄个体的月度体长分布看,当年孵化的幼鱼大多栖息在河岸水域,沿岸生境在维持刀鲚幼鱼资源上具有重要作用。分析显示,4月1日至6月30日的长江禁渔期虽可保护约42.6%的幼鱼个体,但从保护效果看,还因适当延长沿岸水域的禁渔时间。维护沿岸水域的生境完整性,也是保护长江刀鲚幼鱼资源的重要措施。     

江苏海岸带滩涂围垦区土地利用类型变化研究——以江苏省如东县为例

滩涂围垦与开发是海岸带地区特有的土地利用模式,揭示新中国成立以来滩涂已开发围垦区土地利用类型结构能够为该地区未来土地利用与规划提供一个标尺。论文以江苏省如东县为例,从土地利用类型结构与土地利用类型综合指数两部分探讨新中国成立以来不同围垦年限滩涂围垦区土地利用类型结构变化特征,揭示土地利用变化过程,对该地区土地可持续利用具有重要意义。结果表明：新中国成立以来,如东县不同年限围垦区土地利用类型变化存在阶段性特征。从围垦时间序列来看,农用地占比在30 a 围垦区最高,其变化呈现“S”型特征;建设用地呈现间歇性增长,周期为20 a,其中村庄用地在围垦10 a 逐步出现;未利用地一直下降,在40 a 围垦区保持稳定,主要类型为河流用地。滩涂围垦区土地利用强度在30 a 围垦区达到最高,呈现“S”型变化特征。土地利用多样性指数在30 a 围垦区达到最高值,呈现倒“U”型特征。滩涂围垦区土地利用类型演变存在三个阶段。江苏省沿海滩涂淤长为滩涂围垦奠定了自然基础条件,围垦初期,受到盐分的限制,只有耐盐植物和改良作物能够在滩涂土壤上生存,随着土壤不断脱盐,滩涂围垦区土地利用类型逐步多样化,在未来滩涂资源开发利用过程中,需要重点开展滨海盐土的开发复垦工作,严格审批新增建设用地,积极保护自然生态环境,实现沿海滩涂地区可持续发展。     

基于面向对象的海岸带土地利用信息提取研究

针对海岸带复杂多样的土地利用信息,选取山东省乳山市海岸带为研究区域,运用 Landsat TM遥感影像数据,基于面向对象分类方法,利用不同地物的光谱、形状、纹理和空间关系等特征,通过多尺度分割、隶属度函数法和标准最邻近分类法提取研究区土地利用信息,并对分类结果进行精度评估。结果表明：①隶属度函数法和标准最邻近分类法结合,提取出乳山市海岸带12 种土地利用类型信息,很好地区分了盐田和养殖水面、林地和园地,可提取出主要的道路和河流等细长线状地物;②将提取结果与最大似然法对比,面向对象分类方法提取精度达到82.50%,Kappa系数为0.809 1,分别比最大似然法提高了11.44%和0.105 5,很好地避免“同物异谱”和“异物同谱”对分类精度造成的影响,有效地避免了“椒盐”现象。面向对象分类方法提取中分辨率遥感影像精度较高,为海岸带土地利用信息的快速、准确提取提供了有效的技术手段。