The Grain of Spatially Referenced Economic Cost and Biodiversity Benefit Data and the Effectiveness of a Cost Targeting Strategy

Facing tight resource constraints, conservation organizations must allocate funds available for habitat protection as effectively as possible. Often, they combine spatially referenced economic and biodiversity data to prioritize land for protection. We tested how sensitive these prioritizations could be to differences in the spatial grain of these data by demonstrating how the conclusion of a classic debate in conservation planning between cost and benefit targeting was altered based on the available information. As a case study, we determined parcel‐level acquisition costs and biodiversity benefits of land transactions recently undertaken by a nonprofit conservation organization that seeks to protect forests in the eastern United States. Then, we used hypothetical conservation plans to simulate the types of ex ante priorities that an organization could use to prioritize areas for protection. We found the apparent effectiveness of cost and benefit targeting depended on the spatial grain of the data used when prioritizing parcels based on local species richness. However, when accounting for complementarity, benefit targeting consistently was more efficient than a cost targeting strategy regardless of the spatial grain of the data involved. More pertinently for other studies, we found that combining data collected over different spatial grains inflated the apparent effectiveness of a cost targeting strategy and led to overestimation of the efficiency gain offered by adopting a more integrative return‐on‐investment approach.     

Investment and the Policy Process in Conservation Monitoring

Despite decades of discussion and implementation, conservation monitoring remains a challenge. Many current solutions in the literature focus on improving the science or making more structured decisions. These insights are important but incomplete in accounting for the politics and economics of the conservation decisions informed by monitoring. Our novel depiction of the monitoring enterprise unifies insights from multiple disciplines (conservation, operations research, economics, and policy) and highlights many underappreciated factors that affect the expected benefits of monitoring. For example, there must be a strong link between the specific needs of decision makers and information gathering. Furthermore, the involvement of stakeholders other than scientists and research managers means that new information may not be interpreted and acted upon as expected. While answering calls for sharply delineated objectives will clearly add focus to monitoring efforts, for practical reasons, high‐level goals may purposefully be left vague, to facilitate other necessary steps in the policy process. We use the expanded depiction of the monitoring process to highlight problems of cooperation and conflict. We critique calls to invest in monitoring for the greater good by arguing that incentives are typically lacking. Although the benefits of learning accrued within a project (e.g., improving management) provide incentives for investing in some monitoring, it is unrealistic, in general, to expect managers to add potentially costly measures to generate shared benefits. In the traditional linear model of the role of science in policy decisions, monitoring reduces uncertainty and decision makers are rational, unbiased consumers of the science. However, conservation actions increasingly involve social conflict. Drawing insights from political science, we argue that in high‐conflict situations, it is necessary to address the conflict prior to monitoring. Las Inversiones y el Proceso de Políticas en el Monitoreo de la Conservación Sanchirico et al.     

基于地学信息图谱的合肥市城市扩展时空特征及驱动力分析

利用多时相遥感影像,借助ArcGIS平台,采用空间形态分析、等扇分析、等距分析及分形分析等方法,以城市扩展强度、紧凑度、分形维数、重心坐标、扩展弹性系数等为指标,基于地学信息图谱分析了1987~2011年合肥市城市扩展时空特征及其驱动力。结果表明：合肥市在经历了轴向放射状扩展、双核组团扩展及轴间填充后,城市形态由不规则团块状向星楔形、连体双星形转变;24 a间,城市用地面积增长了22415 km2,城市规模扩大了455倍;2000年以前基本保持中、低速扩展,进入21世纪后,开始高速扩展;城市空间主要沿交通线向西南、东南、东、东北等方向非均衡延展,城市扩展最强烈的区域约在距城区中心8 km处,城市重心不断向南偏西方向转移;扩展过程中,城市紧凑度呈“W”型波动,分形维数呈“M”型波动,扩展弹性系数呈“∧”型波动,城市形态最终向着稳定、合理化方向发展;自然环境、经济发展、人口增长、交通建设、政府行为等是合肥市城市扩展的主要驱动力量     

近5年我国部分城市群生活垃圾特性

城市生活垃圾处理处置日益成为世界范围内一个普遍关注的问题,生活垃圾特性是终端处理方式选择的重要依据.从全国超30个城市共采集400余个生活垃圾样品,分析了垃圾的物理组成、污染物含量和热值等基础物化特性.并以深圳为例分析了采样时间和垃圾分类措施等对生活垃圾物化特性的影响.通过偏最小二乘法建立了垃圾组成与热值间的关联模型,并对模型进行了校验.结果表明,湿基中厨余类仍是垃圾中占比最高的组分,大多数样品的占比在40%～60%之间;可燃组成中橡塑类和纸类占比较高,分别在20%～30%和10%～20%之间;无机物占比通常不超过5%;垃圾含水率在50%～60%之间. 2019年实施垃圾分类后生活垃圾中厨余类占比明显降低,橡塑类占比增加,其他组分变化不大,垃圾热值得到一定的提升.生活垃圾中S、 Cl和N这3种污染元素的含量均在1%以下,其平均值规律为：N>Cl>S;垃圾样品中的Hg、 As、 Cr、 Cd和Pb含量随组分及采样时间没有明显的变化规律,垃圾中Pb、 Cr含量受到环境背景值的影响.模型分析发现橡塑类和垃圾水分是生活垃圾热值的主要影响变量,85.96%的样品实测值与预测值之间的偏...     

深圳市湿地保护与利用模式研究

深圳市湿地类型有近海及海岸湿地、河流湿地、湖泊湿地和人工湿地共4大类,总面积12 188.57 hm2,占深圳市国土面积的6.12%。本研究提出深圳市湿地保护和利用模式。湿地保护模式分重点保护湿地和一般保护湿地两个层次,重点加强湿地自然保护区的保护与管理。湿地利用模式划分为防护型湿地、资源利用型湿地、水质净化型湿地和湿地公园。水质净化人工湿地作为一种新型高效生态水质净化技术,可应用于污水处理厂尾水深度处理、河水水质净化、面源污染控制与水源保护等领域。湿地公园是对城市湿地面积缩减的弥补和平衡,具有综合生态服务功能,对城市湿地保护和可持续发展具有重要意义。     

杞麓湖南岸农业生产分析及最佳农业生产模式选择

通过调查,对杞麓湖南岸的农业结构、化肥使用量和农业生产经济进行分析,针对杞麓湖南岸区蔬菜种植属于典型的"高投入、高产出",但产投比相对较低的农业生产模式,提出杞麓湖南岸农业生产模式优化方案,为杞麓湖面源污染的治理提供依据。     

浅谈通讯基站电磁辐射环境影响理论预测模式

介绍了通讯基站电磁辐射环境影响评价的重要胜,在介绍电磁辐射环境标准限值的基础上,针对现有环境影响理论预测与实际监测值存在误差的情况,分析了通讯基站电磁辐射的影响因素和误差存在的原因,并对采取的理论预测模型提出优化建议,使预测结果更接近于实际值,为通讯基站电磁辐射环境影响预测及评价提供更加科学、合理的依据。     

海上风机可靠性评估

依据国内外相关可靠性设计标准以及IEC 61400系列风力发电机组开发标准,结合XE-5 MW海上风机设计开发,建立了整套的海上风力发电机组可靠性设计评估流程,制定了适用于海上风力发电机组工程研发的可靠性建模、可靠性分配、可靠性预计、FMECA和FTA的分析方法,并以上述可靠性设计评估流程和方法对XE-5 MW海上风机开展了可靠性定性和定量评估。     

典型湖泊有机聚集体时空特征及驱动因子

有机聚集体(OA)是水体中物质循环和能量流通的重要枢纽,但在不同营养水平湖泊中的比较研究仍相当匮乏.于2019～2021年间,采集了不同季节贫营养抚仙湖、中营养天目湖、中度富营养太湖和重度富营养星云湖表层水样,利用扫描电镜、表面荧光显微镜和流式细胞仪等研究了4个典型湖泊中OA及其附着细菌的时空变化特征.结果表明：(1)抚仙湖、天目湖、太湖和星云湖中,OA丰度的年均值分别为1.4×10⁴、 7.0×10⁴、 27.7×10⁴和16.0×10⁴ind·mL^-1; OA附着细菌丰度的年均值分别为0.3×10⁶、 1.9×10⁶、 4.9×10⁶和6.2×10⁶ cells·mL^-1;附着细菌占总细菌的比值分别为30%、 31%、 50%和38%.(2)夏季OA丰度显著高于秋冬季;但夏季附着细菌占总细菌的比值为26%,显著低于其它3个季节.(3)湖泊营养状态是影响OA及其附着细...