Using long-term data for a reintroduced population to empirically estimate future consequences of inbreeding

Inbreeding depression is an important long-term threat to reintroduced populations. However, the strength of inbreeding depression is difficult to estimate in wild populations because pedigree data are inevitably incomplete and because good data are needed on survival and reproduction. Predicting future population consequences is especially difficult because this also requires projecting future inbreeding levels and their impacts on long-term population dynamics, which are subject to many uncertainties. We illustrate how such projections can be derived through Bayesian state-space modeling methods based on a 26-year data set for North Island Robins (Petroica longipes) reintroduced to Tiritiri Matangi Island in 1992. We used pedigree data to model increases in the average inbreeding level (F ) over time based on kinship of possible breeding pairs and to estimate empirically N_e/N (effective/census population size). We used multiple imputation to model the unknown components of inbreeding coefficients, which allowed us to estimate effects of inbreeding on survival for all 1458 birds in the data set while modeling density dependence and environmental stochasticity. This modeling indicated that inbreeding reduced juvenile survival (1.83 lethal equivalents [SE 0.81]) and may have reduced subsequent adult survival (0.44 lethal equivalents [0.81]) but had no apparent effect on numbers of fledglings produced. Average inbreeding level increased to 0.10 (SE 0.001) as the population grew from 33 (0.3) to 160 (6) individuals over the 25 years, giving a ratio of 0.56 (0.01). Based on a model that also incorporated habitat regeneration, the population was projected to reach a maximum of 331–1144 birds (median 726) in 2130, then to begin a slow decline. Without inbreeding, the population would be expected stabilize at 887–1465 birds (median 1131). Such analysis, therefore, makes it possible to empirically derive the information needed for rational decisions about inbreeding management while accounting for multiple sources of uncertainty.     

Systematic Temporal Patterns in the Relationship Between Housing Development and Forest Bird Biodiversity

As people encroach increasingly on natural areas, one question is how this affects avian biodiversity. The answer to this is partly scale‐dependent. At broad scales, human populations and biodiversity concentrate in the same areas and are positively associated, but at local scales people and biodiversity are negatively associated with biodiversity. We investigated whether there is also a systematic temporal trend in the relationship between bird biodiversity and housing development. We used linear regression to examine associations between forest bird species richness and housing growth in the conterminous United States over 30 years. Our data sources were the North American Breeding Bird Survey and the 2000 decennial U.S. Census. In the 9 largest forested ecoregions, housing density increased continually over time. Across the conterminous United States, the association between bird species richness and housing density was positive for virtually all guilds except ground nesting birds. We found a systematic trajectory of declining bird species richness as housing increased through time. In more recently developed ecoregions, where housing density was still low, the association with bird species richness was neutral or positive. In ecoregions that were developed earlier and where housing density was highest, the association of housing density with bird species richness for most guilds was negative and grew stronger with advancing decades. We propose that in general the relationship between human settlement and biodiversity over time unfolds as a 2‐phase process. The first phase is apparently innocuous; associations are positive due to coincidence of low‐density housing with high biodiversity. The second phase is highly detrimental to biodiversity, and increases in housing density are associated with biodiversity losses. The long‐term effect on biodiversity depends on the final housing density. This general pattern can help unify our understanding of the relationship of human encroachment and biodiversity response. Patrones Sistemáticos Temporales en la Relación entre Desarrollos Urbanos y la Biodiversidad de Aves de Bosque     

Priorities for Improving the Scientific Foundation of Conservation Policy in North America

Abstract:  The Society for Conservation Biology (SCB) can enhance conservation of biodiversity in North America by increasing its engagement in public policy. Toward this end, the North America Section of SCB is establishing partnerships with other professional organizations in order to speak more powerfully to decision makers and taking other actions—such as increasing interaction with chapters—geared to engage members more substantively in science-policy issues. Additionally, the section is developing a North American Biodiversity Blueprint, which spans the continental United States and Canada and is informed by natural and social science. This blueprint is intended to clarify the policy challenges for protecting continental biodiversity, to foster bilateral collaboration to resolve common problems, and to suggest rational alternative policies and practices that are more likely than current practices to sustain North America's natural heritage. Conservation scientists and practitioners can play a key role by drawing policy makers' attention to ultimate, as well as proximate, causes of biodiversity decline and to the ecological and economic consequences of not addressing these threats.     

华北平原玉米-小麦轮作农田N2O交换通量的研究

以华北地区冬小麦-夏玉米轮作农田为研究对象,运用静态箱法对正常施肥及正常施肥结合秸秆还田农田N2O交换通量进行了连续1 a对比研究.正常施肥及正常施肥结合秸秆还田样地N2O全年的累积排放量分别为7.61 kg.hm-2和12.6kg.hm-2,其中秸秆还田引起N2O排放明显增加主要发生在玉米生长季节.两种处理样地在玉米季N2O的排放量占全年累积排放的57%～86%,表明华北玉米-小麦轮作体系中N2O排放主要集中在玉米季.各次施肥后10 d内N2O的累积排放量约占全年总排放量的71%～88%,显然现有化肥极大促进了华北农田N2O排放.     

北运河下游典型河网区水体中氮磷分布与富营养化评价

选择北运河下游典型河网区(闸坝多、水流慢和湖库化)为研究对象,通过为期1 a的水质监控,阐述了河网区氮、磷的时空变化特征,并利用对数型幂函数普适指数公式对其水体营养状态进行了评价.结果表明,河网区水体中TN平均质量浓度为12.50 mg.L-1(NH4+-N占67.41%),TP为1.45 mg.L-1(SRP占80.81%).河网区水体中氮、磷的时空分布特征明显,TN和NO 3--N质量浓度随季节变化特征趋于一致,NH 4+-N稍有不同;TP和SRP质量浓度随季节变化特征基本一致.从河网区进水带至出水带,水体中氮、磷质量浓度均呈逐渐下降趋势,其中TN、NH4+-N和NO3--N平均质量浓度分别从19.30、13.22和2.19mg.L-1降至7.98、4.45和1.50 mg.L-1;TP和SRP分别从1.95和1.59 mg.L-1降至1.11和0.91 mg.L-1.富营养化评价综合指数表明,河网区水体在时空尺度上均处于"极富"营养状态.     

华北地区1951-2009年气温、降水变化特征

基于华北五省(市)64个基本气象站的1961-2009年逐年逐月气温、降水资料, 利用泰森权重计算了华北地区面平均降水及面平均气温,并建立了7个长序列气象站的气温、降水与面平均值的回归方程,展延了研究区1951-1960年面平均降水和气温资料。对展延后的1951-2009年序列数据,应用Mann-Kendall检验、Mann-Whitney检验、9 a滑动平均等方法进行趋势分析,分析结果显示: 该区59 a间年气温上升了1.5 ℃,年气温序列存在显著上升趋势,年气温序列在1993年前后有一个突变点,年气温距平以1989年为低温期与高温期的分界线,年气温平均每10 a增长2.2%;年降水序列无显著趋势,亦无显著跳跃趋势,年降水距平大致以1976年为多雨期与少雨期的分界线,年降水平均每10 a增长-1.3%。研究成果为深入分析华北地区气候变化规律、未来气候变化影响,以及水资源对气候变化的响应提供了基础。     

江苏省300MW以上燃煤电厂汞排放现状分析

基于2012年江苏省10家典型燃煤电厂相关数据,分析了影响烟气中汞(Hg)排放浓度的因素。其中电厂负荷、烟气净化设施、燃烧炉类型等会直接影响烟气中Hg的排放浓度,而原煤中Hg的含量与烟气中Hg的浓度没有直接的关系。通过模型对江苏省现有300 MW以上燃煤电厂Hg排放量进行了估算,2012年Hg排放总量约为7.307 t。通过反距权重插值进行分析,发现在区域分布上江苏省整体呈现出南部高于北部的趋势。     

农村沼气在北方农业源减排中的应用浅析

农村沼气作为一种特殊的清洁能源,在沈阳市农村节能减排、应对气候变化和发展低碳经济、促进新农村建设方面发挥了巨大的作用。本文通过对沼气工程在北方地区应用的阐述,力图推动北方农村沼气在农业源减排工作中的应用。     

江苏如东互花米草盐沼湿地重金属分布及其污染评价

为了解互花米草(Spartina alterniflora)对盐沼湿地环境的影响,于2010年7月在江苏如东潮间带,依据互花米草的有无及其长势设置站点,对表层沉积物的8种重金属含量、粒度组成、总有机碳进行分析,采用地累积指数法(Igeo)和Hkanson潜在生态风险指数法进行污染评价.结果表明,如东滩涂表层沉积物中Pb、Cd、As、Hg、Cr、Cu、Ni、Zn的平均含量低于海洋沉积物标准I类,其中Cd、Hg、Ni、Zn的含量高于中国大陆沉积物-浅海粉砂背景值.整体上,8种元素在米草覆盖区平均含量均高于邻近光滩.地累积指数显示该盐沼带重金属为无污染状态,而Hkanson潜在生态风险评价显示为低污染和中度污染的临界状态,风险指数为低;两方法均显示该区域污染以Cd和Hg最重.由海向陆随米草长势渐好(垂直岸线断面),As、Cu及Hg元素的含量、地累积指数、潜在生态风险系数呈渐增趋势;拓殖1年左右的米草斑块区内(平行岸线断面),8种元素在植被覆盖区的含量、污染程度及潜在生态风险均高于邻近无植被覆盖区.此外,斑块分布区中,Cd、Cu含量显著低于垂直断面的茂盛分布区.互花米草是大部分重金属污染物在沉积物中富集的重要驱动力之一,且互花米草群落可阻滞污染物直接扩散入海,因而降低生态危害.互花米草对重金属分布的影响与米草的拓植年限、金属元素存在形态和来源有关.     

降雨和土地利用对地表径流的影响-以北京北护城河周边区域为例

以北京北护城河周边区域为例,探讨了降雨和土地利用对地表径流的影响。选取了2011-2012 年4-11 月的15 场降雨,分别代表小雨、中雨、大雨、暴雨、大暴雨和特大暴雨这6 个雨量级。利用校准的雨洪管理模型（Storm Water Management Model, SWMM）分别模拟每次降雨事件下研究区7 个控制断面的地表径流深度。结果表明,地表径流深度随降雨量的增加显著线性增加。当降雨量在不同量级之间变化时,地表径流深度的变化幅度不尽相同。在不同的降雨事件中,降雨量和地表径流深度随时间的动态变化趋势可能有很大的差异,但地表径流深度在某一时刻的值的高低均决定于之前1~2 h 的降雨量,而地表径流深度的总体上升或下降趋势均决定于前期累积的降雨量。地表径流深度随渗透面积比例的增加显著下降,且变化曲线存在临界阈值（为15%~20%）。在暴雨、大暴雨和特大暴雨时,渗透面积比例对地表径流的影响更大。研究结果可为控制汛期城市地表径流量和洪峰流量、减少城市内涝提供土地利用和管理方面的理论依据和决策建议。