Heterogeneity of Soils and Vegetation in an Eastern Amazonian Rain Forest: Implications for Scaling Up Biomass and Production

Transferring fine-scale ecological knowledge into an understanding of earth system processes presents a considerable challenge to ecologists. Our objective here was to identify and quantify heterogeneity of, and relationships among, vegetation and soil properties in terra firme rain forest ecosystems in eastern Amazonia and assess implications for generating regional predictions of carbon (C) exchange. Some of these properties showed considerable variation among sites; soil textures varied from 11% to 92% clay. But we did not find any significant correlations between soil characteristics (percentage clay, nitrogen [N], C, organic matter) and vegetation characteristics (leaf area index [LAI], foliar N concentration, basal area, biomass, stem density). We found some evidence for increased drought stress on the sandier sites: There was a significant correlation between soil texture and wood δ¹³C (but not with foliar δ¹³C); volumetric soil moisture was lower at sandier sites; and some canopy foliage had large, negative dawn water potentials (ψ_ld), indicating limited water availability in the rooting zone. However, at every site at least one foliage sample indicated full or nearly full rehydration, suggesting significant interspecific variability in drought vulnerability. There were significant differences in foliar δ¹⁵N among sites, but not in foliar % N, suggesting differences in N cycling but not in plant access to N. We used an ecophysiological model to examine the sensitivity of gross primary production (GPP) to observed inter- and intrasite variation in key driving variables—LAI, foliar N, and ψ_ld. The greatest sensitivity was to foliar N; standard errors on foliar N data translated into uncertainty in GPP predictions up to ±10% on sunny days and ±5% on cloudy days. Local variability in LAI had a minor influence on uncertainty, especially on sunny days. The largest observed reductions in ψ_ld reduced GPP by 4%–6%. If uncertainty in foliar N estimates is propagated into the model, then GPP estimates are not significantly different among sites. Our results suggest that water restrictions in the sandier sites are not enough to reduce production significantly and that texture is not the key control on plant access to N. Received 28 June 2001; accepted 13 March 2002.     

Immediate and carry-over effects of late-spring frost and growing season drought on forest gross primary productivity capacity in the Northern Hemisphere

Forests are increasingly exposed to extreme global warming-induced climatic events. However, the immediate and carry-over effects of extreme events on forests are still poorly understood. Gross primary productivity (GPP) capacity is regarded as a good proxy of the ecosystem's functional stability, reflecting its physiological response to its surroundings. Using eddy covariance data from 34 forest sites in the Northern Hemisphere, we analyzed the immediate and carry-over effects of late-spring frost (LSF) and growing season drought on needle-leaf and broadleaf forests. Path analysis was applied to reveal the plausible reasons behind the varied responses of forests to extreme events. The results show that LSF had clear immediate effects on the GPP capacity of both needle-leaf and broadleaf forests. However, GPP capacity in needle-leaf forests was more sensitive to drought than in broadleaf forests. There was no interaction between LSF and drought in either needle-leaf or broadleaf forests. Drought effects were still visible when LSF and drought coexisted in needle-leaf forests. Path analysis further showed that the response of GPP capacity to drought differed between needle-leaf and broadleaf forests, mainly due to the difference in the sensitivity of canopy conductance. Moreover, LSF had a more severe and long-lasting carry-over effect on forests than drought. These results enrich our understanding of the mechanisms of forest response to extreme events across forest types.     

Partial purification and properties of prenyltransferase from Pisum sativum

Prenyltransferase (EC 2.5.1.1; assayed as farnesyl pyrophosphate synthetase)was purified 106-fold from an homogenate of 3-day-old seedlings of Pisum sativum. Some of the properties of the purified enzyme were determined and these differed in several significant respects from those reported for preparations from other sources, e.g. the apparent MW was 96000 ± 4000 and the preparation could be dissociated into two subunits of MW 45000 ± 3000. The total activity of the extractable enzyme went through a sharp maximum (in the range 1 to 28 days) 3 days after germination. Farnesyl pyrophosphate was formed in cell-free extracts of peas from either isopentenyl pyrophosphate alone, or this together with geranyl pyrophosphate (optimum yields 1.2 and 10% respectively). Use of [1-¹⁴C]- and [4-¹⁴C]-isopentenyl pyrophosphates as the sole substrates and degradation of the products showed that the crude extracts contained a pool of the biogenetic equivalent of 3,3-dimethylallyl pyrophosphate. No analogous pool of geranyl pyrophosphate could be detected.     

Role of carbohydrate in human chorionic gonadotropin: Deglycosylation uncouples hormone-receptor complex and adenylate cyclase system

Previous work has shown that deglycosylation of human chorionic gonadotropin (hCG) does not affect its receptor binding characteristics, but its ability to stimulate intracellular cyclic AMP accumulation and steroidogenesis in ovarian cells is abolished. To identify the site at which carbohydrate of hCG is involved in the mechanism of action of the hormone, we have studied adenylate cyclase activity in ovarian membrane preparations in response to deglycosylated and native hCG. The deglycosylated hCG does not stimulate adenylate cyclase of ovarian membrane preparation and also it acts as an inhibitor of hCG action. Data are presented to show that both hCG- and catecholamine receptors are coupled to the same adenylate cyclase complex. Since adenylate cyclase activity in the presence of deglycosylated hCG remains still responsive maximally to catecholamines, it indicates that the adenylate cyclase complex is functional and is unaffected by the interaction of deglycosylated hCG to its receptor. This is further supported by the fact that the deglycosylated hCG does not impair the maximal stimulation of adenylate cyclase by guanine nucleotides. Thus, the site of action of the carbohydrate of hCG is prior to the coupling of the hormone-receptor complex and the adenylate cyclase system.     

Dryness limits vegetation pace to cope with temperature change in warm regions

Climate change leads to increasing temperature and more extreme hot and drought events. Ecosystem capability to cope with climate warming depends on vegetation's adjusting pace with temperature change. How environmental stresses impair such a vegetation pace has not been carefully investigated. Here we show that dryness substantially dampens vegetation pace in warm regions to adjust the optimal temperature of gross primary production (GPP) ($T_{\mathrm{opt}}^{\mathrm{<font\; color="red">GPP</font>}}$) in response to change in temperature over space and time. $T_{\mathrm{opt}}^{\mathrm{<font\; color="red">GPP</font>}}$ spatially converges to an increase of 1.01°C (95% CI: 0.97, 1.05) per 1°C increase in the yearly maximum temperature (T_max) across humid or cold sites worldwide (37^oS–79^oN) but only 0.59°C (95% CI: 0.46, 0.74) per 1°C increase in T_max across dry and warm sites. $T_{\mathrm{opt}}^{\mathrm{<font\; color="red">GPP</font>}}$ temporally changes by 0.81°C (95% CI: 0.75, 0.87) per 1°C interannual variation in T_max at humid or cold sites and 0.42°C (95% CI: 0.17, 0.66) at dry and warm sites. Regardless of the water limitation, the maximum GPP (GPP_max) similarly increases by 0.23 g C m⁻² day⁻¹ per 1°C increase in $T_{\mathrm{opt}}^{\mathrm{<font\; color="red">GPP</font>}}$ in either humid or dry areas. Our results indicate that the future climate warming likely stimulates vegetation productivity more substantially in humid than water-limited regions.     

Gross primary productivity and transpiration flux of the Australian vegetation from 1788 to 1988 AD: effects of CO2 and land use change

We present a novel approach to estimating the transpiration flux and gross primary productivity (GPP) from Normalized Difference Vegetation Index, leaf functional types, and readily available climate data. We use this approach to explore the impact of variations in the concentration of carbon dioxide in the atmosphere ([CO₂]) and consequent predicted changes in vegetation cover, on the transpiration flux and GPP. There was a near 1 : 1 relationship between GPP estimated with this transpiration flux approach and that estimated using a radiation‐use efficiency (RUE) approach. Model estimates are presented for the Australian continent under three vegetation–[CO₂] scenarios: the present vegetation and hypothetical ‘natural’ vegetation cover with atmospheric CO₂ concentration ([CO₂]) of 350 μmol mol^?1 (pveg₃₅₀ and nveg₃₅₀), and for the ‘natural’ vegetation with [CO₂] 280 μmol mol^?1 (nveg₂₈₀). Estimated continental GPP is 6.5, 6.3 and 4.3 Gt C yr^?1 for pveg₃₅₀, nveg₃₅₀ and nveg₂₈₀, respectively_. The corresponding transpiration fluxes are 232, 224 and 190 mm H₂O yr^?1. The contribution of the raingreen and evergreen components of the canopy to these fluxes are also estimated.     

Synthesis of 3-polyprenyltoluquinols and 4-carboxy-2-polyprenylphenols by cell-free preparations of Euglena gracilis

Cell-free homogenates of Euglena gracilis are able to carry out the light- and Mg²⁺-independent syntheses of approximately equal amounts of a nonaprenyltoluquinol, an octaprenyltoluquinol and two uncharacterized compounds referred to as chromanols from homogentisate and a Micrococcus luteus extract that has been preincubated with isopentenylpyrophosphate (MLE-IPP). In addition they also synthesized substantial amounts (20%) of previously unencountered CHCl₃-soluble products from homogentisate and MLE-IPP, and the 2-deca-, 2-nona- (principal product) and 2-octa-prenyl forms of 4-carboxy-2-polyprenylphenol from p-hydroxybenzoate and MLE-IPP. The polyprenyltoluquinols were shown to be 3-polyprenyl-toluquinols, compounds postulated as intermediates on the pathway from homogentisate to plastoquinone, by determination of the ratio of ¹⁴C: ³H incorporated into them from 2,5-dihydroxyphenylacetic-[U-¹⁴C,4,6-³H₂] acid. Intracellular distribution studies using green, dark-grown and streptomycin-bleached cells, established that the 3-polyprenyltoluquinols are synthesized in the chloroplasts and the etioplasts, and that 4-carboxy-2-polyprenylphenols are synthesized in the mitochondria and a particle sedimenting at 1000–15000 g.     

Diagnostic assessment of European gross primary production

We present an approach to estimate gross primary production (GPP) using a remotely sensed biophysical vegetation product (fraction of absorbed photosynthetically active radiation, FAPAR) from the European Commission Joint Research Centre (JRC) in conjunction with GPP estimates from eddy covariance measurement towers in Europe. By analysing the relationship between the cumulative growing season FAPAR and annual GPP by vegetation type, we find that the former can be used to accurately predict the latter. The root mean square error of prediction is of the order of 250 gC m⁻² yr⁻¹. The cumulative growing season FAPAR integrates over a number of effects relevant for GPP such as the length of the growing season, the vegetation's response to environmental conditions and the amount of light harvested that is available for photosynthesis. We corroborate the proposed GPP estimate (noted FAPAR-based productivity assessment+land cover, FPA+LC) on the continental scale with results from the MOD17+radiation-use efficiency model, an artificial neural network up-scaling approach (ANN) and the Lund–Potsdam–Jena managed Land biosphere model (LPJmL). The closest agreement of the mean spatial GPP pattern among the four models is between FPA+LC and ANN (R²= 0.74). At least some of the discrepancy between FPA-LC and the other models result from biases of meteorological forcing fields for MOD17+, ANN and LPJmL. Our analysis further implies that meteorological information is to a large degree redundant for GPP estimation when using the JRC-FAPAR. A major advantage of the FPA+LC approach presented in this paper lies in its simplicity and that it requires no additional meteorological input driver data that commonly introduce substantial uncertainty. We find that results from different data-oriented models may be robust enough to evaluate process-oriented models regarding the mean spatial pattern of GPP, while there is too little consensus among the diagnostic models for such purpose regarding inter-annual variability.