Schroeter Stephen C, Dixon John D, Kastendiek Jon, Smith Richard O, Bence James R
Ecol Appl. 1993 May;3(2):331-350. doi: 10.2307/1941836.
Detecting the environmental impacts of human activities on natural communities is a central problem in applied ecology. It is a difficult problem because one must separate human perturbations from the considerable natural temporal variability displayed by most populations. In addition, most human perturbations are generally unique and thus unreplicated. This raises the problem of deciding whether observed local effects are due to human intervention or to the natural differences in temporal patterns that often occur among different sites. These problems can be successfully addressed with the Before-After/Control-Impact (BACI) sampling design, in which Impact and Control sites are sampled contemporaneously and repeatedly in periods Before and After the human perturbation of interest. In the present case, we use this design to examine the ecological effects of the cooling water discharge from a coastal nuclear power plant in southern California. The results suggest some general lessons about the process of impact assessments that are applicable in many ecological contexts. In systems where plants and animals are long-lived and recruit sporadically, the rates of change in density are often so low that sampling more than a few times per year will introduce serial correlations in the data. As a result, for studies of few years duration, few samples will be taken. A small sample size means that the tests of the assumptions underlying the statistical analyses, e.g., independence and additivity, will have low power. This injects uncertainty into the conclusions. Small sample size also means that the power to detect any but very large effects will be low. In our study, sampling periods of 2- yr both Before and After the impact were not long enough to detect a halving or doubling of populations at the impact site. We concluded that there were significant environmental impacts because: (1) the effect size was generally very large (°-75%); (2) there was a consistent pattern among species; (3) there were two Impact sites, and effects were larger at the site nearest the discharge; (4) the observed effects accorded with physical changes that could be linked with the source of impact; and (5) a number of alternative mechanisms, unrelated to the source of impact, were examined and rejected. Relative to control populations, there were statistically significant reductions in density of snails, sea urchins, and sea stars, all of which occurred primarily on rocky substrates. All of the reductions were larger at the Impact station about 0.4 km from the discharge than at a second Impact station 1.4 km away. The most plausible mechanisms for the declines seem to be linked to the turbidity plume created by the power plant and the resultant increase in suspended inorganic and organic materials (+46% at the Impact site nearest the discharge). Any associated flux of fine particles on rocks would have deleterious effects on many of the hard benthos. Populations of two filter-feeding species, a gorgonian coral and a sponge, showed relative increases in density. Although the increase in populations of filter feeders could be related to the ingestion, killing, and discharge of tons of plankton by the cooling system, an alternative natural mechanism was also considered reasonable. Monitoring studies or relatively long-lived organisms will often have low power to detect ecologically significant changes in density. The present study of kelpforest organisms extended over nearly 6 yr, yet the resulting statistical tests generally had power of <30% to detect a doubling or halving in density at a significance level of .05. In such a community it would be a mistake to conclude that there were no significant ecological effects based on conventional hypothesis tests. Unless there is a willingness to accept the fact that changes in natural populations on the order of 50% will often go undetected, the standards and types of evidence used to demonstrate environmental impacts must be changed.
检测人类活动对自然群落的环境影响是应用生态学中的一个核心问题。这是一个难题,因为必须将人类干扰与大多数种群所表现出的显著自然时间变异性区分开来。此外,大多数人类干扰通常是独特的,因此无法重复。这就产生了一个问题,即如何确定观察到的局部影响是由于人类干预还是由于不同地点之间经常出现的时间模式的自然差异。这些问题可以通过前后对照/控制影响(BACI)抽样设计成功解决,在该设计中,在感兴趣的人类干扰之前和之后的时间段内,同时对影响站点和对照站点进行重复抽样。在本案例中,我们使用这种设计来研究加利福尼亚州南部一座沿海核电站冷却水排放的生态影响。结果表明了一些关于影响评估过程的一般性经验教训,这些经验教训适用于许多生态环境。在动植物寿命长且零星补充的系统中,密度变化率往往很低,以至于每年抽样超过几次会在数据中引入序列相关性。因此,对于持续数年的研究,抽样次数会很少。小样本量意味着对统计分析所依据的假设(如独立性和可加性)进行检验的功效较低。这会给结论带来不确定性。小样本量还意味着检测除非常大的影响之外的任何影响的能力都会很低。在我们的研究中,影响前后各2年的抽样期不足以检测到影响站点种群数量减半或翻倍的情况。我们得出结论,存在显著的环境影响,原因如下:(1)效应大小通常非常大(50%-75%);(2)物种之间存在一致的模式;(3)有两个影响站点,且离排放源最近的站点影响更大;(4)观察到的影响与可与影响源相关联的物理变化相符;(5)研究并排除了一些与影响源无关的替代机制。相对于对照种群,蜗牛、海胆和海星的密度在统计上有显著降低,所有这些主要发生在岩石基质上。离排放口约0.4公里处的影响站点的所有减少幅度都比1.4公里外的第二个影响站点更大。数量下降最合理的机制似乎与发电厂产生的浊流羽状物以及悬浮无机和有机物质的相应增加有关(离排放源最近的影响站点增加了46%)。岩石上任何相关的细颗粒通量都会对许多硬底栖生物产生有害影响。两种滤食性物种,一种柳珊瑚和一种海绵,其种群密度相对增加。虽然滤食性生物种群数量的增加可能与冷却系统摄入、杀死和排放数吨浮游生物有关,但一种替代的自然机制也被认为是合理的。对寿命相对较长的生物进行监测研究往往检测密度生态显著变化的能力较低。本海带森林生物研究持续了近6年,但最终的统计检验通常在显著性水平为0.05时检测密度翻倍或减半的功效不到30%。在这样的群落中,基于传统假设检验得出没有显著生态影响的结论将是错误的。除非愿意接受自然种群数量50%左右的变化往往未被检测到这一事实,否则用于证明环境影响的证据标准和类型必须改变。