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41.
Jacob W. Bentley Natalia Serpetti Clive J. Fox Johanna J. Heymans David G. Reid 《Fisheries Oceanography》2020,29(5):415-435
Irish Sea fisheries have undergone considerable change in recent years following the decline of commercially important finfish stocks and their slow response to management's recovery plans. In 2015, the fishing industry called for a holistic exploration into the impact of environmental change and food web effects to identify the drivers underpinning stock dynamics. In this study, we identify correlations between large‐scale climatic indicators, temperature, primary and secondary productivity, and fish recruitment in the Irish Sea and incorporate them into an Ecopath with Ecosim food web model co‐created by scientists and fishers. Negative correlations were found between the North Atlantic Oscillation winter index (NAOw) and large zooplankton abundance and between the Atlantic Multidecadal Oscillation (AMO) and the recruitment of cod (Gadus morhua) and whiting (Merlangius merlangus). Using correlation analyses to direct the addition of environmental drivers to the Irish Sea ecosystem model improved the models fit against observed biomass and catch data and revealed the indirect impacts of environmental change as mitigated through trophic interactions. Model simulations suggest that historic environmental change suppressed the overall production of commercial finfish, limiting opportunities for the fishing industry, whilst also dampening the rate of stock recovery despite marked reductions in fishing effort. These results suggest that failure to account for ecosystem information may lead to misconceived expectations and flawed fisheries management; therefore, there is a need to operationalize ecosystem information through management procedures to support fisheries advice. 相似文献
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基于Ecopath模型的巢湖生态系统结构与功能初步分析 总被引:3,自引:1,他引:3
为分析和掌握巢湖生态系统结构与功能的特征参数,结合2007—2010年巢湖渔业资源调查数据,应用Ecopath with Ecosim 6.1软件构建了巢湖生态系统的食物网模型。模型由16个功能组组成,包括初级生产者、主要鱼类、无脊椎动物和有机碎屑等。结果显示,巢湖生态系统食物网主要由4个整合营养级构成,系统规模总流量、总生产量和总消耗量都较大,分别为41 003.08、17 937.42和4 486.67 t/(km2·a);能量流动主要发生在Ⅱ、Ⅲ营养级间;参照Odum的生态系统成熟程度判定指标发现,巢湖生态系统高的生产量和呼吸比值(TPP/TR)和净初级生产量(NPP),以及较低的系统连接指数(CI)、系统杂食指数(SOI)、Finn's循环指数(FCI)和Finn's平均路径长度(FMPL)都表明:巢湖生态系统结构与功能的特征参数远没有达到成熟生态系统的标准,且劣于富营养化的太湖生态系统。从生态系统结构分析发现,导致巢湖生态系统退化的关键原因是浮游植物生物量、生产量过高,被生态系统利用的效率极低,从而导致生物多样性下降、食物网趋于简单、能量流动不畅。 相似文献
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Paul C. Stoy Mathew Williams Mathias Disney Ana Prieto-Blanco Brian Huntley Robert Baxter Philip Lewis 《Landscape Ecology》2009,24(7):971-986
Transferring ecological information across scale often involves spatial aggregation, which alters information content and
may bias estimates if the scaling process is nonlinear. Here, a potential solution, the preservation of the information content
of fine-scale measurements, is highlighted using modeled net ecosystem exchange (NEE) of an Arctic tundra landscape as an
example. The variance of aggregated normalized difference vegetation index (NDVI), measured from an airborne platform, decreased
linearly with log(scale), resulting in a linear relationship between log(scale) and the scale-wise modeled NEE estimate. Preserving
three units of information, the mean, variance and skewness of fine-scale NDVI observations, resulted in upscaled NEE estimates
that deviated less than 4% from the fine-scale estimate. Preserving only the mean and variance resulted in nearly 23% NEE
bias, and preserving only the mean resulted in larger error and a change in sign from CO2 sink to source. Compressing NDVI maps by 70–75% using wavelet thresholding with the Haar and Coiflet basis functions resulted
in 13% NEE bias across the study domain. Applying unique scale-dependent transfer functions between NDVI and leaf area index
(LAI) decreased, but did not remove, bias in modeled flux in a smaller expanse using handheld NDVI observations. Quantifying
the parameters of statistical distributions to preserve ecological information reduces bias when upscaling and makes possible
spatial data assimilation to further reduce errors in estimates of ecological processes across scale. 相似文献
45.
A drastic population change in Japanese sardine (Sardinops melanostictus) has been noted as being related to winter sea surface temperature (SST) in the Kuroshio Extension region. The former studies suggest two possible explanations. One is that temperature itself affects sardine. The other is that SST represents the environmental change of the Kuroshio Extension region and other causes directly affecting sardine. In this study, we found that sardine mortality from post‐larva to age 1 negatively correlated with the winter mixed layer depth (MLD) in the Kuroshio Extension region from 1979 to 1993. During the period of a deep winter mixed layer (during the early 1980s), sardine mortality was low, whereas mortality was high when the winter mixed layer was shallow (during the late 1980s to early 1990s). By using a lower trophic‐level ecosystem model forced by the observed time series of MLD, SST, light intensity and nutrient data, we found that the estimated spring zooplankton density drastically varies from year to year and has a significant negative correlation with sardine mortality. The inter‐annual variation of spring zooplankton density is caused by the winter MLD variation. During the deep winter mixed layer years, a phytoplankton bloom occurs in spring, whereas during the shallow winter mixed layer years, the bloom occurs in winter. The results of our study suggest that the decline in the Japanese sardine population during the late 1980s to early 1990s was due to an insufficient spring food supply in the Kuroshio Extension region where sardine larvae and juvenile are transported. 相似文献
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抗草甘膦转基因大豆(RRS)在黑土生态系统种植的安全性研究 总被引:6,自引:0,他引:6
为明确抗草甘膦转基因大豆(RRS)在黑土生态系统种植的安全性,经过连续3年田间和盆栽试验,分析了抗草甘膦转基因漂移(漂流)可能性.及抗草甘膦转基因大豆(RRS)在黑土区对根际牛态系统微牛物数量,氮代谢和两种土壤酶活性的影响结果表明:在自然条件理花粉漂移几乎足不可能的,但如人为加大虫媒传播(大于10头·m-2),抗草甘瞵基因的漂移概率接近0.05%,漂移距离为0.7 m RRS除对根际真菌数影响不显著外,对根际土壤细菌、放线菌、氨化和硝化细菌均表现降低趋势在大豆不同生育期,RRS除对根际上壤真菌数影响不显著外,对根际士壤细菌,放线菌,氨化和硝化细菌均表现降低趋势;RRS根际士壤细菌多样性指数与均匀度指数均低于亲本RRS-S;氨化强度与RRS-S相比差异不显著,RRS根际土壤硝化强度显著低于亲本RRS-S;RRS降低了过氧化氢酶和脲酶活性. 相似文献