Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity

Passive acoustic monitoring could be a powerful way to assess biodiversity across large spatial and temporal scales. However, extracting meaningful information from recordings can be prohibitively time consuming. Acoustic indices (i.e., a mathematical summary of acoustic energy) offer a relatively rapid method for processing acoustic data and are increasingly used to characterize biological communities. We examined the relationship between acoustic indices and the diversity and abundance of biological sounds in recordings. We reviewed the acoustic‐index literature and found that over 60 indices have been applied to a range of objectives with varying success. We used 36 of the most indicative indices to develop a predictive model of the diversity of animal sounds in recordings. Acoustic data were collected at 43 sites in temperate terrestrial and tropical marine habitats across the continental United States. For terrestrial recordings, random‐forest models with a suite of acoustic indices as covariates predicted Shannon diversity, richness, and total number of biological sounds with high accuracy (R² ≥ 0.94, mean squared error [MSE] ≤170.2). Among the indices assessed, roughness, acoustic activity, and acoustic richness contributed most to the predictive ability of models. Performance of index models was negatively affected by insect, weather, and anthropogenic sounds. For marine recordings, random‐forest models poorly predicted Shannon diversity, richness, and total number of biological sounds (R² ≤ 0.40, MSE ≥ 195). Our results suggest that using a combination of relevant acoustic indices in a flexible model can accurately predict the diversity of biological sounds in temperate terrestrial acoustic recordings. Thus, acoustic approaches could be an important contribution to biodiversity monitoring in some habitats.     

Perceived barriers to and drivers of community participation in protected‐area governance

Protected areas (PAs) are a frequently used conservation strategy, yet their socioeconomic impacts on local communities remain contentious. A shift toward increased participation by local communities in PA governance seeks to deliver benefits for human well‐being and biodiversity. Although participation is considered critical to the success of PAs, few researchers have investigated individuals’ decisions to participate and what this means for how local people experience the costs and benefits of conservation. We explored who participates in PA governance associations and why; the perceived benefits and costs to participation; and how costs and benefits are distributed within and between communities. Methods included 3 focus groups, 37 interviews, and 217 questionnaire surveys conducted in 3 communities and other stakeholders (e.g., employees of a nongovernmental organization and government officials) in PA governance in Madagascar. Our study design was grounded in the theory of planned behavior (TPB), the most commonly applied behavior model in social psychology. Participation in PA governance was limited by miscommunication and lack of knowledge about who could get involved and how. Respondents perceived limited benefits and high costs and uneven distribution of these within and between communities. Men, poorer households, and people in remote villages reported the highest costs. Our findings illustrate challenges related to comanagement of PAs: understanding the heterogeneous nature of communities; ensuring all households are represented in governance participation; understanding differences in the meaning of forest protection; and targeting interventions to reach households most in need to avoid elite capture.     

Effects of age and sex ratios on offspring recruitment rates in translocated black rhinoceros

Success of animal translocations depends on improving postrelease demographic rates toward establishment and subsequent growth of released populations. Short‐term metrics for evaluating translocation success and its drivers, like postrelease survival and fecundity, are unlikely to represent longer‐term outcomes. We used information theory to investigate 25 years of data on black rhinoceros (Diceros bicornis) translocations. We used the offspring recruitment rate (ORR) of translocated females—a metric integrating survival, fecundity, and offspring recruitment at sexual maturity—to detect determinants of success. Our unambiguously best model (AICω = 0.986) predicted that ORR increases with female age at release as a function of lower postrelease adult rhinoceros sex ratio (males:females). Delay of first postrelease reproduction and failure of some females to recruit any calves to sexual maturity most influenced the pattern of ORRs, and the leading causes of recruitment failure were postrelease female death (23% of all females) and failure to calve (24% of surviving females). We recommend translocating older females (≥6 years old) because they do not exhibit the reproductive delay and low ORRs of juveniles (<4 years old) or the higher rates of recruitment failure of juveniles and young adults (4–5.9 years old). Where translocation of juveniles is necessary, they should be released into female‐biased populations, where they have higher ORRs. Our study offers the unique advantage of a long‐term analysis across a large number of replicate populations—a science‐by‐management experiment as a proxy for a manipulative experiment, and a rare opportunity, particularly for a large, critically endangered taxon such as the black rhinoceros. Our findings differ from previous recommendations, reinforce the importance of long‐term data sets and comprehensive metrics of translocation success, and suggest attention be shifted from ecological to social constraints on population growth and species recovery, particularly when translocating species with polygynous breeding systems.     

阳离子型微乳液一亚硫酸钠光度法测定α-TNT

以阳离子型微乳液ＣＰＣ／正戊醇／正已烷／水为介质，进行了α－ＴＮＴ－Ｎａ２ＳＯ３分光光度法的研究（ε＝３．０６５×１０４Ｌ·ｍｏｌ－１·ｃｍ－１）与以ＣＰＣ为介质（ε＝２．６４４×１０４Ｌ·ｍｏｌ－１·ｃｍ－１）比较，测定灵敏度明显提高，α－ＴＮＴ在０．０５～２０μｇ／ｍＬ范围内符合比耳定律．相对标准偏差０．１９７％．该法成功地应用于污染土壤中及合成水样中α－ＴＮＴ的测定．     

含铬固体废渣中Cr~(3+) 的氧化

研究了ｐＨ、温度对铬渣中Ｃｒ３＋的氧化速率的影响．结果表明，在碱性条件下，空气中的氧气具有相当强的氧化性，足以将Ｃｒ３＋氧化为Ｃｒ６＋，且随ｐＨ、温度的升高而加快．     

Cr6+的隆线溞趋光指数与LC50急性毒性的比较

采用隆线 (D .carinata)为试验生物 ,研究Cr6 对隆线趋光指数的影响 ,并与LC50 急性毒性结果进行了比较 .结果表明 ,水的趋光指数 (Ip)与铬浓度存在着显著的相关关系 (y =0 391- 0 5 14x ,R2 =0 81) ,3h的Ip 监测下限为 0 0 5 6mg·L-1,分别是LC50 ( 2 4h)及LC50 ( 48h)的 2 3 6 0 %和 39 0 0 % ,仅相当于LC50 ( 96h) .因此 ,利用水趋光指数 ,可能为评价水体的健康状况提供一种快速、灵敏的方法     

凝胶化改性尼龙-6渔网的防生物附着性能研究

采用对渔网尼龙-6纤维进行接枝丙烯酸的方法,制备防止海洋污损生物附着的表面凝胶化改性渔网材料.以小球藻、杜氏藻、金藻为实验海藻,研究了三种海藻在改性材料表面的生物附着性能.结果表明,三种海藻在聚丙烯酸凝胶改性尼龙-6纤维表面的附着量明显少于普通尼龙-6纤维.改性纤维的接枝率越高,海藻的附着量越小,接枝率16.1%以上时纤维具有优良抗生物附着性能.     

二苯碳酰二肼分光光度法测定水中六价铬样品预处理方法的改进

本文对二苯碳酰二肼分光光度法测定地表水及工业废水中六价铬的样品预处理方法提出了改进措施。改进方法准、快、简、省,符合环境监测分析要求。用该方法对样品进行预处理后分析,其结果与文献[1]一致。     

外源亚精胺缓解荇菜(Nymphoides peltatum)Cr6+毒害的生理研究

研究了不同浓度的Cr^6 胁迫下，荇菜叶中叶绿素含量、可溶性蛋白含量、O2^-产生速率、保护酶——超氧化物歧化酶(SOD)、过氧化物酶(POD)、过氧化氢酶(CAT)活性的动态变化及外施亚精胺后对上述各指标的影响．结果表明：(1)单一Cr^6 处理下，叶绿素和可溶性蛋白含量在Cr^6 浓度为1mg／L时达到最大值，而后迅速下降；外施亚精胺(Spd)可显著提高二者的含量，延缓它们的下降速度．(2)单一Cr^6 处理下，SOD、POD、CAT活性分别在2、4、2mg／L Cr^6 处理下达到最大值．而后下降；外施亚精胺可提高这三种保护酶的活性，使其上升或稳定时期变长，从而降低O2^-等活性氧的产生速率．由此可见外源亚精胺可缓解Cr^6 对荇菜的胁迫效应．     

土壤中麦草灵残留的固相萃取—高效液相色谱测定

土壤中麦草灵用酸性乙醇提取，采用固相萃取技术用Ｓｅｐ－Ｐａｋ Ｃ１８柱净化浓缩，以反相离子抑制高效液相色谱分离测定，方法简便、快速、在土壤中的检出下限为０．０４ｍｇ·ｋｇ＾－１回收率范围在８３．８－８５．８％之间。