The productivity of pine plantations in relation to previous land use

Summary Differences in the productivity of establishedP. radiata plantations on pasture and forest soils were found to be reproducible withP. radiata seedlings in a glasshouse environment. The growth of seedlings on pasture soil exceeded that of seedlings on native forest soil (the ‘primary pasture effect’). After a history of pine on both native and pasture soils a residual effect of pasture on seedling growth was evident (the ‘secondary pasture effect’). However, the effect of a history of pine plantation (the ‘pine effect’) was to decrease the productivity of both native and pasture soil as assessed by seedling growth. These effects were not related to changes due to land management in mycorrhizal infection or in soil structure. The analysis of seedling growth leads to the conclusion that soil fertility, particularly the availability of nitrogen and phosphorus, has changed.     

Effect of light intensity on sulfate uptake and primary productivity by natural freshwater microplankton communities and axenic algal cultures

Analyses of four years of in situ sulfate uptake by microplankton communities in two,trophically different lakes showed that about 12% of the experiments had dark uptake equal to or higher than uptake at ambient light. Three axenic algal cultures subjected to different light intensities showed that sulfate uptake patterns, relative to primary productivity, vary with species and although sulfate uptake tends to decrease at lower light levels, at or very near darkness, in physiologically active (young) cultures sulfate uptake frequently increases dramatically. The field data, when summarized according to the light received, shows the same trends seen in the axenic cultures. It is concluded that sulfate uptake is only loosely associated with inorganic carbon uptake (primary productivity) and that under some circumstances a low level of light may increase the sulfate uptake rate.     

Factors controlling phytoplankton primary productivity in Byram Lake,Mt. Kisco,N.Y., summer 1977

Phytoplankton productivity was measured in Byram Lake Reservoir during summer 1977. Depth integrated productivity (0–5 gC m^{– 2} d^–1) increased with station depth, which together with visibility measurements indicated that light did not limit deep station productivity (C1 and S2). Macrophytes at station C5 (shallow) reduced the euphotic zone to 0 in June.On a unit depth basis, C5 was the most productive station. Apparently changes in macrophyte growth, regulated by light and temperature, controlled phytoplankton production. At C1, productivity was related to levels of different nutrients at different depths, the thermocline influencing nutrient availability at mid-depth. At S2, NH₃-N controlled mid-depth productivity. Surface and mid-depth productivity appeared influenced by factors not measured in this study.     

Limnological characteristics of several lakes on the Lake Wales Ridge,South-Central Florida

Three lakes near the southern terminus of the Lake Wales Ridge of south-central Florida were studied. The lakes, all connected by either natural drainage or canals, vary significantly in terms of shoreline development. All three lakes are soft water systems with low concentrations of dissolved nutrients; however, rates of primary productivity and chlorophyll a appear to be correlated with the degree of shoreline development. Nutrient enrichment bioassay experiments in the laboratory showed that, in general, water from all the lakes responded to additions of nitrogen and phosphorus in combination. Samples from only one lake responded to enrichment with phosphorus alone, and no samples to additions of nitrogen alone.Two of the lakes can be classified as oligotrophic while the third is most probably eutrophic.     

Subfossil chironomids as evidence of eutrophication in Ekoln Bay,Central Sweden

The role played by heterotrophic microplankton in the synthesis and flux of organic matter was studied in the Punta San Juan Coastal upwelling region off Peru in April and May 1977. The data from a drogue study show that the main component of the planktonic community in the freshly upwelled water is the microheterotroph component. The biomass of bacteria (49 mg C/ m³) in the newly upwelled water exceeded by two orders of magnitude the biomass of phytoplankton. Total respiration of the microheterotrophs (3.35 g C/ m²/ day) exceeded by three-fold the primary production, indicating that the heterotrophic respiration was dependent on the content of organic matter preexisting in the upwelling waters. In the upwelling at Punta San Juan the biomass of protozoa was 1 g/ m³ (wet weight) at the depth of the maximum concentration; this concentration is the highest ever observed in sea water. During transects on a section normal to the coastline an abundant population of dinoflagellates (5 to 40 × 10³ /1) of the genera Gymnodinium and Prorocentrum were found in anoxic waters at 50 to 100 m. Strong red tide water coloration was observed as a result of a bloom of the autotrophic ciliate Mesodinium rubrum; the biomass of the ciliate at the surface in calm weather reached 50 to 70 g/ m³ (wet weight) and the cell density was 2 to 4 × 10⁶/l.     

Does directed technological change get greener: Empirical evidence from Shanghai's industrial green development transformation

The degree of technological change biased to the environmental factor is crucial to industrial sustainable development. Using the stochastic frontier analysis method based on the translog production function and the panel data of 32 industrial sub-sectors in Shanghai over 1994–2011, this paper combines the evolution dynamic of the frontier technological structure with the evolution dynamic of technological change direction to estimate the output elasticities of production factors and the growth rate of green total factor productivity. Also, we investigate and compare the degrees of technological change biased to four production factors, i.e., capital, labor, energy, and carbon emissions. The results show that the industrial green total factor productivity in Shanghai presents an overall upward trend and mainly depends on the technical efficiency change. The improvements of labor productivity, R&D intensity, and energy efficiency can effectively enhance the green technical efficiency, while capital deepening has a mitigation effect on the green technical efficiency. The technological change of Shanghai's industrial production biases to energy use and capital saving, causing a high energy demand of industrial development. Under the dual impacts of economic development and energy-saving and emission-reduction policies, the degree of technological change biased to the environmental factor (carbon emissions) displays strong and weak alternations, indicating that the green bias of industrial technological change in Shanghai is not stable and that the green transformation of industrial development model needs to be further advanced.     

Modeling grassland aboveground biomass using a pure vegetation index

Remote sensing can be the most effective means of scaling up grassland aboveground biomass (AGB) from the sample scale to the regional scale. Among the remote-sensing approaches, statistical models based on the vegetation index (VI) are frequently used to retrieve grassland AGB because of their simplicity and reliability. However, these types of models have never been comprehensively optimized to overcome VI insensitivity and soil effects. Because grassland AGB is related to grassland type, in our research the integrated orderly classification system for grassland (IOCSG) was used to differentiate grassland types. The study area, located in Inner Mongolia, China, included desert steppe, typical steppe and meadow steppe. A pure VI (PVI) was extracted from the normal VI using spectral mixture analysis (SMA). Using a proportional relationship, PVI models were then constructed based on grassland type. The results demonstrated that the PVI models can have clear advantages over the more commonly used VI models. They simplify the parameterization of VI models and thus enhance models constructed for different regions with different remote sensing data sources. Notably, detailed differentiation of grassland types can improve the accuracy of AGB estimates. The methodology proposed in this study is particularly beneficial for AGB estimates at a national scale, especially for countries such as China with many grassland types.     

A twofold role for global energy gradients in marine biodiversity trends

Explanations for major biodiversity patterns have not achieved a consensus, even for the latitudinal diversity gradient (LDG), but most relate to patterns of solar energy influx into Earth systems, and its effects on temperature (as biochemical activity rates are temperature sensitive) and photosynthesis (which drives nearly all of the productivity that fuels ecosystems). Marine systems break some of the confounding correlations among temperature, latitude and biodiversity that typify the terrestrial systems that have dominated theoretical discussions and large‐scale analyses. High marine diversities occur not only in warm shallow seas where productivity may be either low or high, depending on regional features, but also in very cold deep‐sea regions, indicating that diversity is promoted by stability in temperature and in trophic resources (nutrients and food items), and more specifically by their interaction, rather than by high mean values of either variable. The common association of high diversity with stable but low to moderate annual productivity suggests that ecological specialization underlies the similarly high diversities in the shallow tropics and deep sea. Recent work on shallow‐marine bivalves is consistent with this view of decreasing specialization in less stable habitats. Lower diversities in shallow seas are associated with either high thermal seasonality (chiefly in temperate latitudes) or highly seasonal trophic supplies (at any latitude), which exclude species that are adapted to narrow ranges of those variables.