高寒草甸不同土地利用格局土壤CO2的释放量

分析高寒草甸不同土地利用格局下土壤CO₂的释放量大小表明,在植物生长季的5～9月,土壤CO₂释放量大小排序为:金露梅灌丛草甸(1871.40g/m²)＞矮嵩草草甸(1769.63g/m²)＞退化金露梅灌丛草甸(1495.60g/m²)＞退化矮嵩草草甸(1191.26g/m²);而在植物非生长季的10月到翌年4月,其土壤CO₂释放量大小与植物生长季略有差异,表现出矮嵩草草甸(661.46g/m²)＞金露梅灌丛草甸(550.90g/m²)＞退化矮嵩草草甸(502.50g/m²)＞退化金露梅灌丛草甸(384.50g/m²)的特点;全年内表现为矮嵩草草甸(2431.09g/m²)＞金露梅灌丛草甸(2422.30g/m²)＞退化金露梅灌丛草甸(1880.10g/m²)＞退化矮嵩草草甸(1694.06g/m²).高寒草甸地区不同土地利用格局土壤CO₂释放数量的差异及季节变化,不仅与各利用格局的土壤生物活性及土壤物理化学性状有关,而且与气象条件(特别是温度)及其土壤冬季冻结期长短关系极为密切.     

水库中重金属迁移的神经网络模拟

重金属在水环境中的迁移转化是一个多因素影响的复杂过程,快速而准确地模拟水体中重金属的迁移一直是水环境研究领域的焦点。神经网络模型计算迅速、能以较高精度拟合任意非线性函数,在水文水质模拟中已有很多成功的应用,但对重金属的模拟还很少见到。文章以大伙房水库为例,用神经网络模型模拟了重金属镉、铜、汞和锌在水库中的浓度迁移过程。建模时依据水环境中重金属迁移转化机理并借鉴数学建模中边值问题的解决思想,确定了模型的输入和输出因子;对实际监测中重金属浓度低于检测方法的最低检出限的情况,将其浓度以0计算。模型对水库中镉和铜的浓度的模拟值与实测值的最大相对误差分别为17.5%和17.9%,对汞和锌的浓度的模拟值与实测值的确定系数分别为0.741和0.762,而对镉和铜的确定系数更是达到了0.96以上。对各重金属的模拟结果表明用神经网络模拟水环境中的重金属迁移是可行的,能快速得到比较准确的结果。文章建立的模拟大伙房水库重金属浓度迁移的神经网络模型对该水库水环境管理有一定的参考价值。     

水资源价值损失模糊估算模型的改进与应用

文章对传统模糊数学方法运用于水资源价值评价中一些不合理的地方进行改进,赋予水资源价格上限新的定义,从而得到一组不同于传统的价格向量。并将其应用于福州市山仔水库水资源价值损失评价中。结果表明:改进后的结果稍大于传统方法,避免出现价值太低甚至负值的现象。     

用稳健统计法处理方法标准验证实验中方法检出限数据

方法检出限是分析方法基本性能参数之一。根据《环境监测分析方法标准制修订技术导则》(HJ 168—2010)的要求,此参数需要6家以上实验室基于特定样品测试数据的标准偏差得到。目前,标准文本大多采用各家实验室方法检出限中最大值。研究提出用稳健统计法处理方法验证数据,无需识别和删去离群值,可将离群值的影响降到最小。基于4组公开发表数据和2组实测数据,比较了不同方法计算结果。结果表明:参与统计的3组数据29个检测项目中,常规方法确认的方法检出限被判为离群值占27.6%。取最大值存在数值偏高的风险。提出了用曼德尔k检验法识别1组方法检出限数据中的离群值,该方法同样可以用于实验室数据与标准文本中方法检出限符合性判断。     

分光光度法测定水中硝基苯类化合物检出限的优化

对测定水中硝基苯类化合物的锌还原-盐酸萘乙二胺分光光度法进行优化,简化了操作步骤,并将参加显色反应的水样体积由4.0 mL增加至8.0 mL,比色皿厚度由10 mm增加至20 mm,方法推荐检出限由0.20 mg/L降至0.05 mg/L,实验室检出限为0.042 mg/L,改进后的方法对标准样品的测定结果符合要求。     

土壤重金属分析方法间检测结果一致性判断方法——数据对t值检验法的改进与完善

不同分析方法测定结果间的比较,或者说如何判断两种分析方法测定结果的一致性,是检测实验室经常遇到的实际问题。其应用场景包括方法标准验证实验、新方法与经典方法间的比对,特别是在缺少标准样品、测试数据不满足t值检验的条件下,选用合适的判据尤其重要。以采用单波长激发型能量色散X射线荧光光谱法、电感耦合等离子体质谱法、波长色散X射线荧光光谱法测定土壤和水系沉积物样品中Cd、As、Pb、Cu、Zn、Ni、Cr、Co、V、Mn、Mo、Sb等重金属含量所得数据为例,探讨了《环境监测分析方法标准制订技术导则》(HJ 168—2020)附录B中规定的"数据对t值检验法"的不足及改进办法,即用数据对相对偏差和再现性限合格率作为判据,判断分析方法测定结果的一致性。对一组验证样品分别用两种分析方法进行了测定,在数据对t值检验的基础上,取各元素测定结果的相对偏差与相关限值进行比较,或者取两者的差值与基准分析方法标准规定的再现性限进行比较,利用合格率大小协助判断了两分析方法测定结果的一致性。研究结果表明,此方法符合日常质控技术规范中关于精密度的规定,实用性强,是一条将数理统计原理与专业知识相结合的合理技术路线。     

The need for formal reflexivity in conservation science

Conservation issues are often complicated by sociopolitical controversies that reflect competing philosophies and values regarding natural systems, animals, and people. Effective conservation outcomes require managers to engage myriad influences (social, cultural, political, and economic, as well as ecological). The contribution of conservation scientists who generate the information on which solutions rely is constrained if they are unable to acknowledge how personal values and disciplinary paradigms influence their research and conclusions. Conservation challenges involving controversial species provide an opportunity to reflect on the paradigms and value systems that underpin the discipline and practice of conservation science. Recent analyses highlight the ongoing reliance on normative values in conservation. We frame our discussion around controversies over feral horses (Equus ferus caballus) in the Canadian West and New Zealand and suggest that a lack of transparency and reflexivity regarding normative values continues to prevent conservation practitioners from finding resilient conservation solutions. We suggest that growing scrutiny and backlash to many normative conservation objectives necessitates formal reflexivity methods in conservation biology research, similar to those required of researchers in social science disciplines. Moreover, given that much conservation research and action continues to prioritize Western normative values regarding nature and conservation, we suggest that adopting reflexive methods more broadly is an important step toward more socially just research and practice. Formalizing such methods and requiring reflexivity in research will not only encourage reflection on how personal and disciplinary value systems influence conservation work but could more effectively engage people with diverse perspectives and values in conservation and encourage more novel and resilient conservation outcomes, particularly when dealing with controversial species.     

Lessons from other disciplines for setting management thresholds for biodiversity conservation

Successful, state-dependent management, in which the goal of management is to maintain a system in a desired state, involves defining the boundaries between different states. Once these boundaries have been defined, managers require a strategic action plan with thresholds that initiate management interventions to either maintain or return the system to a desired state. This approach to management is widely used across diverse industries from agriculture, to medicine, to information technology, but it has only been adopted in conservation management relatively recently. Conservation practitioners have expressed a willingness to integrate this structured approach in their management systems, but they have also voiced concerns, including lack of a robust process for doing so. Given the widespread use of state-dependent management in other fields, we conducted an extensive review of the literature on threshold-based management to gain insight into how and where it is applied and identify potential lessons for conservation management. We identified 22 industries using 75 different methods for setting management thresholds in 843 studies. Methods spanned six broad approaches, including expert driven, statistical, predictive, optimization, experimental, and artificial intelligence methods. The objectives of each of these studies influenced the approaches used, including the methods for setting thresholds and selecting actions, and the number of thresholds set. The role of value judgments in setting thresholds was clear; studies across all industries frequently involved experts in setting thresholds, often accompanied by computational tools to simulate the consequences of proposed thresholds under different conditions. Of the 30 conservation studies examined, two-thirds used expert-driven methods, consistent with prior evidence that experience-based information often drives conservation management decisions. The methods we identified from other disciplines could help conservation decision makers set thresholds for management interventions in different contexts, linking monitoring to management actions and ensuring that conservation interventions are timely and effective.