Net primary production, growth, and standing crop of Macrocystis pyrifera in Southern California

Marine macroalgae are believed to be among the most productive autotrophs in the world. However, relatively little information exists about spatial and temporal variation in net primary production (NPP) by these organisms. The data presented here are being collected to investigate patterns and causes of variation in NPP by the giant kelp, Macrocystis pyrifera, which is believed to be one of the fastest growing autotrophs on earth. The standing crop and loss rates of M. pyrifera have been measured monthly in permanent plots at three sites in the Santa Barbara Channel, USA. Collection of these data began in June 2002 and is ongoing. Seasonal estimates of NPP and growth rate are made by combining the field data with a model of kelp dynamics. The purpose of this Data Paper is to make available a time series of M. pyrifera NPP, growth, and standing crop that is appropriate for examining seasonal and interannual patterns across multiple sites. Data on plant density in each plot and censuses of fronds on tagged plants at each site are also made available here. NPP, mass-specific growth rate, and standing crop are presented in four different metrics (wet mass, dry mass, carbon mass, and nitrogen mass) to facilitate comparisons with previous studies of M. pyrifera and with NPP measured in other ecosystems. Analyses of these data reveal seasonal cycles in growth and standing crop as well as substantial differences in M. pyrifera NPP among sites and years.     

Estimation of algal growth parameters from vertical primary production profiles

Phytoplankton maximum growth rate and the saturation light intensity, I_s, can be estimated from vertical profiles of primary production by non-linear least-squares estimation. Solution through the normal equations leads to formulae which are relatively simple and easy to implement. The computation of confidence contours is demonstrated, and the results are contrasted to the confidence limits on the parameters individually. These can be quite misleading due to model non-linearity and correlation between parameter estimation.The procedure has been applied to primary production data from Lake Balaton, a shallow lake in Hungary. The growth rate-temperature relation is analysed by separating the parameters into two groups characteristic for “warm” and “cold” water phytoplankton, respectively. A bell-shaped curve is found for “cold” water communities, with an optimum at about 7–9°C, whereas the “warm” water phytoplankton exhibits a strong exponential dependency in the temperature range of interest (up to 25°C). I_s also appears to be related to temperature except for the “cold” water group, where I_s is essentially constant. However, a roughly linear relation with considerably less scatter is obtained when I_s is plotted directly versus day-averaged solar radiation. This apparent fast adaptation is attributed to the extremely short turnover time in Lake Balaton. Maximum growth rates of 10–20 d^?1 have been found for temperatures between 20 and 25°C. These results and a critical appraisal of available literature suggest that the common notion of maximum growth rates being in the order of 1–3 d^?1 needs revision, at least for lakes with relatively high summer temperatures.     

中国农田主要温室气体排放特征与控制技术

全球气候变化已成为不争的事实,已经引起了各国科学家和政府的高度重视。人类活动向大气中排放的二氧化碳（CO2）、甲烷（CH4）和氧化亚氮（N2O）等温室气体浓度的增加是导致气候变化的重要原因之一。农田土壤是这三种温室气体的重要来源。文章概述了农田土壤CO2、CH4和N2O三种主要温室气体的排放机制,系统总结了国内对这三种温室气体排放通量的观测研究,提出了相应的减排技术对策,并对目前的研究问题和未来的发展方向作了深入的探讨,以期为控制农田土壤温室气体排放、发展低碳农业提供参考依据。     

Net primary productivity of some aquatic macrophytes in sewage-sullage mixture

Sewage-sullage mixture from Raipur city is spread over a vast area surrounding the city. This mixture has a pH always above neutrality with high turbidity. Transparency was nil with the absence of phenolphthalein alkalinity and dissolved oxygen. Hardness was high with low nitrogen and phosphorus concentration. Human consumable. acquatic macrophytes are cultivated in such waste water. Net primary productivity of three macrophytes: Ipomoea aquatica, Marsilea quadrifolia and Nelumbo nucifera were evaluated while being cultivated in such sewage-sullage mixture. Productivity was determined either with periodic biomass removal (I. aquatica and M. quadrifolia) or through removing the biomass only once at the time of growing season (N. nucifera). Growing season productivity of up to 27.48. 19.81 and 9.49 g m(-2) and day(-1) and extrapolated productivity of up to 100.30, 72.31 and 34.64 mt. ha(-1) yr(-1) was recorded for I. aquatica. M. quadrifolia and N. nucifera respectively. Thus, these macrophytes are yielding a high amount of human consumable biomass from an area which neither be a useless wetland.     

Patterns of houses and habitat loss from 1937 to 1999 in northern Wisconsin, USA.

Rural America is witnessing widespread housing development, which is to the detriment of the environment. It has been suggested to cluster houses so that their disturbance zones overlap and thus cause less habitat loss than is the case for dispersed development. Clustering houses makes intuitive sense, but few empirical studies have quantified the spatial pattern of houses in real landscapes, assessed changes in their patterns over time, and quantified the resulting habitat loss. We addressed three basic questions: (1) What are the spatial patterns of houses and how do they change over time; (2) How much habitat is lost due to houses, and how is this affected by spatial pattern of houses; and (3) What type of habitat is most affected by housing development. We mapped 27 419 houses from aerial photos for five time periods in 17 townships in northern Wisconsin and calculated the terrestrial land area remaining after buffering each house using 100- and 500-m disturbance zones. The number of houses increased by 353% between 1937 and 1999. Ripley's K test showed that houses were significantly clustered at all time periods and at all scales. Due to the clustering, the rate at which habitat was lost (176% and 55% for 100- and 500-m buffers, respectively) was substantially lower than housing growth rates, and most land area was undisturbed (95% and 61% for 100-m and 500-m buffers, respectively). Houses were strongly clustered within 100 m of lakes. Habitat loss was lowest in wetlands but reached up to 60% in deciduous forests. Our results are encouraging in that clustered development is common in northern Wisconsin, and habitat loss is thus limited. However, the concentration of development along lakeshores causes concern, because these may be critical habitats for many species. Conservation goals can only be met if policies promote clustered development and simultaneously steer development away from sensitive ecosystems.     

Phytoplankton composition in relation to primary production in Chesapeake Bay

The dominant phytoplankton taxa during seasonal periods of peak primary productivity were identified during a 4 yr study (July 1989 to June 1993) in Chesapeake Bay. Maximum phytoplankton abundance occurred from late winter to early spring, and was dominated by a few species of centric diatoms. This development was followed by more diversified assemblages of diatoms and phytoflagellates that produced additional concentration peaks in summer and fall; all these maxima were accompanied by concurrent productivity peaks. High summer productivity resulted when the phytoplankton concentrations of diatoms and phytoflagellates were augmented by an increased abundance of autotrophic picoplankton. There was variability in both the seasonal and annual growth maxima of these algal populations and in total productivity. Higher cell concentrations and productivity were associated with higher nutrient levels on the western side of the bay, at sites adjacent to major tributaries. Periods of highest productivity were in spring and summer, ranging from 176 to 346 g Cm^-2yr^-1 over the 4 yr period, with a mean annual productivity of 255 g Cm^-2yr^-1. The bay stations rates ranged from 82 to 538 g Cm^-2yr^-1.     

Modeling approach to regime shifts of primary production in shallow coastal ecosystems

Pristine coastal shallow systems are usually dominated by extensive meadows of seagrass species, which are assumed to take advantage of nutrient supply from sediment. An increasing nutrient input is thought to favour phytoplankton, epiphytic microalgae, as well as opportunistic ephemeral macroalgae that coexist with seagrasses. The primary cause of shifts and succession in the macrophyte community is the increase of nutrient load to water; however, temperature plays also an important role. A competition model between rooted seagrass (Zostera marina), macroalgae (Ulva sp.), and phytoplankton has been developed to analyse the succession of primary producer communities in these systems. Successions of dominance states, with different resilience characteristics, are found when modifying the input of nutrients and the seasonal temperature and light intensity forcing.     

1950年至2016年美国西北太平洋煤炭相关污染物的大气沉降

与煤有关的元素是有毒的和持久性的污染物,自从工业革命以来,主要是由点源排放在全球传播。华盛顿州生态部从华盛顿州东北部的深湖采集了一个沉积柱,以评估美国太平洋西北部最近的大气沉积变化。沉积柱被分为深度层段和210Pb测年。对每个截面的样品进行消化并使用ICP-MS进行金属和类金属的分析。数据显示最近砷、钡、硒和汞的浓度的增加。与1993年美国地质调查局怀俄明州弗雷蒙特冰川上部的冰芯数据、亚洲煤炭消耗数据和天气模式进行比较,表明向深湖沉积物输入的污染物是亚太地区燃煤活动的结果。最显著的是,自进行冰芯分析的1993年以来,深湖的汞沉积量从1996年的20 ppb增加到2014年的9470 ppb（增加了400倍）。     

Global potential net primary production predicted from vegetation class, precipitation, and temperature

Net primary production (NPP), the difference between CO2 fixed by photosynthesis and CO2 lost to autotrophic respiration, is one of the most important components of the carbon cycle. Our goal was to develop a simple regression model to estimate global NPP using climate and land cover data. Approximately 5600 global data points with observed mean annual NPP, land cover class, precipitation, and temperature were compiled. Precipitation was better correlated with NPP than temperature, and it explained much more of the variability in mean annual NPP for grass- or shrub-dominated systems (r2 = 0.68) than for tree-dominated systems (r2 = 0.39). For a given precipitation level, tree-dominated systems had significantly higher NPP (approximately 100-150 g C m(-2) yr(-1)) than non-tree-dominated systems. Consequently, previous empirical models developed to predict NPP based on precipitation and temperature (e.g., the Miami model) tended to overestimate NPP for non-tree-dominated systems. Our new model developed at the National Center for Ecological Analysis and Synthesis (the NCEAS model) predicts NPP for tree-dominated systems based on precipitation and temperature; but for non-tree-dominated systems NPP is solely a function of precipitation because including a temperature function increased model error for these systems. Lower NPP in non-tree-dominated systems is likely related to decreased water and nutrient use efficiency and higher nutrient loss rates from more frequent fire disturbances. Late 20th century aboveground and total NPP for global potential native vegetation using the NCEAS model are estimated to be approximately 28 Pg and approximately 46 Pg C/yr, respectively. The NCEAS model estimated an approximately 13% increase in global total NPP for potential vegetation from 1901 to 2000 based on changing precipitation and temperature patterns.     

海洋初级生产力的卫星遥感估算模型

海洋初级生产力估算在渔业资源管理、碳循环和全球变化研究中具有重要意义,准确的海洋初级生产力估算模型可直接为渔业生产和海洋管理提供决策支持,卫星遥感技术能够及时提供地表大尺度、动态的生态环境参数,因而在海洋初级生产力估算方面得到了广泛的应用.首先介绍了遥感估算海洋初级生产力的原理,对不同遥感模犁包括经验模型和基于生物机理的BPM模型、LPCM模型和VGPM模型等生理过程模型进行了比较分析.以渤黄海海域为研究区,利用MODIS/AQIJA卫星数据产品中的海表温度SST、离水辐射率Lw、海水漫射衰减系数.Kd490和海洋光合有效辐射PAR,计算出水柱的最大碳固定速率、真光层深度、遥感叶绿素浓度.选择全遥感数据驱动的生理过程模型VGPM,对渤黄海的初级生产力进行了估算和分析.结果表明:通过MODIS卫星数据基于VGPM模型估算的渤黄海海域的海洋初级生产力很好地揭示了海洋初级生产力在不同海区的分布和变化.整个渤黄海海区初级生产力的总体分布为从近海向外逐渐降低,其中渤海要较高一些,和前人调查比较一致.     

Sensitivity of benthic community respiration and primary production to changes in temperature and light

In-situ measurements of benthic community respiration and primary production on an intertidal sandflat in Nova Scotia, Canada were used to test the hypothesis that community responses to light and temperature were similar within and between seasons. Multiple regression indicated that mean incubation temperature explained 57% of the variance in total sediment oxygen demand (TOD). The logarithmic relationship between TOD and temperature (Q₁₀=6.5) was not significantly different between fall and spring, suggesting no acclimation within season. Chemical oxygen demand measured in formalin-poisoned cores averaged 30% of TOD. Microalgal gross primary production (GROSS) was measured as oxygen production in light cores. Mean incubation temperature and sediment chlorophylla explained 56% of the variance. The linear relationship between GROSS and temperature had Q₁₀=2.0. When production was normalized to chlorophylla [GROSS(SP)], seasonal production-temperature curves were significantly different. The spring curve had Q₁₀=3.3; in the fall, production and temperature were not related. GROSS(SP)-light curves derived from Plexiglas shade experiments in the field were linear and not significantly different between fall and spring. Temperature alone was a better predictor of GROSS(SP) than light, even when P/I curves were adjusted for temperature. One can therefore model community respiration and photosynthesis at this site using daily averages in temperature, which are then summed over longer time scales to estimate monthly or seasonal rates.     

The distribution of primary production relative to a cyclonic gyre in Baie des Chaleurs

Primary production within the Baie des Chaleurs, Canada, is dominated by a cyclonic gyre system. The pattern of production fits the theoretical expectation of increased productivity associated with colder, nutrient-rich water being brought closer to the surface within the gyre. Upper reaches of the bay, west of the gyre, follow a normal esturine form of circulation with lower rates of production. East of the gyre, in the Gulf of St. Lawrence, primary production is less.Travaux sur les Pêcheries du Québec, no. 30, Direction des Pêcheries, Ministère de l'Industrie et du Commerce du Québec.     

Vegetation structure constrains primary production response to water availability in the Patagonian steppe

Grassland aboveground net primary production (ANPP) increases linearly with precipitation in space and time, but temporal models relating time series of ANPP and annual precipitation for single sites show lower slopes and regression coefficients than are shown by spatial models. The analysis of several ANPP time series showed lags in the ecosystem response to increased water availability, which may explain the difference between spatial and temporal models. The lags may result from constraints that ecosystems experience after drought. Our objective was to explore the structural constraints of the ANPP response to rainfall variability in a semiarid ecosystem, the Patagonian steppe, in southern Argentina. We designed a 3-yr rainfall manipulation experiment where we decreased water input with rainout shelters during two consecutive years, which included three levels of rainfall interception (30%, 55%, and 80%) and a control. In the third year, we irrigated one-half of the plots of each rainfall-interception treatment. We evaluated the immediate effects of drought on current-year ANPP and the effects of previous-year drought on vegetation recovery after water supplementation. ANPP (g x m(-2) x yr(-1)) was linearly related to annual precipitation input (APPT; mm/yr) along the experimental precipitation gradient (ANPP = 0.13 x APPT + 58.3; r2 = 0.34, P < 0.01), and this relationship was mostly accounted for by changes in the ANPP of grasses. Plant density (D; no. individuals/mm2) was related to the precipitation received during the drought period (D = 0.11 x APPT + 18; r2 = 0.39, P < 0.05). The recovery of plants after irrigation was lower for those plots that had experienced experimental drought the previous years relative to controls, and the lags were proportional to the intensity of drought. Therefore, our results suggest that the density of plants may constrain the recovery of vegetation after drought, and these constraints may determine lags that limit the capacity of the ecosystem to take advantage of wet years after dry years.     

Identification and assessment of environmental burdens of Chinese copper production from a life cycle perspective

The environmental burdens of Chinese copper production have been identified and quantified in the context of typical technologies, materials supplies and environmental emissions by a life cycle approach. Primary and secondary copper production using copper ores and scraps, respectively, were analyzed in detail. The flash and bath smelting approaches and the recycling of copper scraps were selected as representative copper production processes. A quantitative analysis was also conducted to assess the influence of material transport distance in copper production. Life cycle assessment （LCA） results showed that resources depletion and human health contribute significantly to environmental burdens in Chinese copper production. In addition, the secondary copper production has dramatically lower environmental burdens than the primary production. There is no obvious distinction in overall environmental burdens in primary copper production by flash or bath smelting approach. However, resources depletion is lower and the damage to human health is higher for flash smelting approach. Ecosystem quality damage is slight for both approaches. Environ- mental burdens from the mining stage contribute most in all life cycle stages in primary copper production. In secondary copper production, the electrolytic refining stage dominates. Based on the life cycle assessment results, some suggestions for improving environmental performance were proposed to meet the sustainable development of Chinese copper industry.     

Predicting tree diversity across the United States as a function of modeled gross primary production.

At the regional and continental scale, ecologists have theorized that spatial variation in biodiversity can be interpreted as a response to differences in climate. To test this theory we assumed that ecological constraints associated with current climatic conditions (2000-2004) might best be correlated with tree richness if expressed through satellite-derived measures of gross primary production (GPP), rather than the more commonly used, but less consistently derived, net primary production. To evaluate current patterns in tree diversity across the contiguous United States we acquired information on tree composition from the USDA Forest Service's Forest Inventory and Analysis program that represented more than 17,4000 survey plots. We selected 2693 cells of 1000 km2 within which a sufficient number of plots were available to estimate tree richness per hectare. Our estimates of forest productivity varied from simple vegetation indices indicative of the fraction of light intercepted by canopies at 16-d intervals, a product from the MODIS (Moderate Resolution Imaging Spectro-radiometer), to 8- and 10-d GPP products derived with minimal climatic data (MODIS) and SPOT-Vegetation (Systeme Pour l'Observation de la Terre), to 3-PGS (Physiological Principles Predicting Growth with Satellites), which requires both climate and soil data. Across the contiguous United States, modeled predictions of gross productivity accounted for between 51% and 77% of the recorded spatial variation in tree diversity, which ranged from 2 to 67 species per hectare. When the analyses were concentrated within nine broadly defined ecoregions, predictive relations largely disappeared. Only 3-PGS predictions fit a theorized unimodal function by being able to distinguish highly productive forests in the Pacific Northwest that support lower than expected tree diversity. Other models predicted a continuous steep rise in tree diversity with increasing productivity, and did so with generally better or nearly equal precision with fewer data requirements.     

太湖水体光学特征及其对水中初级生产力的影响

对太湖梅梁湾水体实测结果表明 :在水体表面 ,UV -C的强度较小 ,只有 10 -5μE·m-2 ·s-1数量级 ;UV -B的强度随着波长的增加而呈现递增的趋势 ;UV -A的强度较强 ,达 10 -2 μE·m-2 ·s-1数量级 ,并且在水体中衰减较快 ,衰减系数 (Kd)可以达到 12 .5m-1。可见光在水体中Kd 可达 8.2m-1。在水下 0 .5m处 ,紫外线不足表面光强的 1% ,可见光是表面光强的 2 0 %左右。初级生产力在表面相对较小 ,在水下 0 .2m处最大 ,且随水深的增加而减少 ;在水体中直接测定发现 ,0 .2m处溶解氧值较高。初级生产力的这种分布是水体中紫外光与可见光共同作用的结果。     

清洁生产:从生态工业到循环经济、循环社会

本文简要地介绍了清洁生产、生态工业、生态工业园、循环经济、循环社会等有关的基本概念和发展历程.从实质看,这是资源节约和环境保护战略的有机延伸,目的是实现资源效率最大化和废物排放最小化.从应用范围看,清洁生产在企业内部,循环经济在企业之间,循环社会则是全社会的.循环经济的出现是废弃物管理战略转变的需要,之所以在德国和日本得到很好的发展,与这两个国家的工业化基础有很大关系,一方面有可以回收利用的物质,同时也有良好的法律基础和公众要求.我国有着发展循环经济的优良传统,尽管出发点和运行方式与西方国家不同;人口多、人均资源不足的国情,要求我们将循环经济的发展放在重要位置.发展我国的循环经济,需要政府、企业和社会公众的共同努力,有完善的法律体系和政策导向,结合中国的工业化和城市化选择发展重点,通过试点示范,推进循环经济的发展.     

Correlation of primary production as measured aboard ship in Southern California Coastal waters and as estimated from satellite chlorophyll images

Chlorophyll images suitable for the regional analysis of the Southern California Bight were obtained by satellite (Nimbus-7 Coastal Zone Color Scanner) on 27 February, 6 March and 11 March 1979. An algorithm to convert satellite chlorophyll data to primary production has been developed. In addition, primary production was measured along with other biological and physical factors from ships cruising in the Southern California Bight during late February and early March 1979. There was fair agreement between shipboard measurements and satellite estimations; for example, primary production (mg carbon m^-2 d^-1) averaged 554 mg from shipboard measurement and 403 mg from satellite estimation when averaged for the entire Bight for the course of the study. The high standard error associated with the variance in productivity index used in our algorithm prevented more accurate conversion of chlorophyll concentrations into primary productivity. However, the synoptic data provided by concurrent ship and satellite measurements can be used to quantify, and perhaps reduce, sampling errors associated with ship sampling alone and to provide estimates of the accuracy of primary productivity on a regional basis.     

Sources of primary production supporting food webs in an arid coastal embayment

Penaeid shrimp can be useful ecological indicators of linkages between shallow tropical coastal habitats, acting as integrators of carbon and nitrogen sources due to their generalist feeding habits and their mobility between habitats and with tidal cycles. In the current study, the contribution of mangrove, seagrass and microbial mat to the nutrition of two penaeid shrimp species, Penaeus semisulcatus and Metapeneus ensis, in a shallow arid embayment in the Arabian Gulf was assessed through a combination of analysis of stomach contents and dual carbon and nitrogen stable isotope signatures. Shrimp tissue stable isotope signatures identified seagrass as a major source of carbon and nitrogen for both species, contributing 21–38?% (1–99?‰). Microbial mat was also detected as a significant nutritional source for early-stage Metapenaeus affinis postlarvae (1–27?%). However, mangroves were not identified as a significant source, with the range of results including the possibility of a zero contribution. Moreover, the greatest possible contribution of mangroves as source of carbon was less than for the other primary producers. This may be due the high salinity and wide temperature range limiting mangrove productivity as well as the low export of dissolved and particulate organic material out of the mangroves due to low rainfall.