ライフサイエンスコーパス: GPP

1 GPP and culture have excellent overall agreement; howeve

2 GPP binds to an allylic site (S1) and aligns well with k

3 GPP had no influence on fruit-NPP.

4 GPP of June to July solely explained c.

5 GPP-positive/culture-negative specimen extracts tested p

6 Overall, we estimate a GPP increase of 37 +/- 9 per cent for high-latitude ecos

7 and that global change drivers have allowed GPP uptake to keep pace with anthropogenic emissions.

8 roduct in North America during 2000-2014 and GPP data from 24 AmeriFlux sites.

9 tering (the most data-driven hypothesis) and GPP suggested that greater effort is needed understand V

10 mancy was transient at warmer locations, and GPP was responsive to both winter and summer precipitati

11 (1) to develop predictive models of NPP and GPP calibrated to source data (1982 to 2004); (2) to app

12 sisting of shipboard measurements of NPP and GPP from 1982 to 2004 for Chesapeake Bay in the mid-Atla

13 However Reco and GPP remained high in areas with large Eriophorum vaginat

14 SIF and GPP are well correlated (R (2) = 0.62-0.92) with an inva

15 emporal correspondence between OCO-2 SIF and GPP globally.

16 modeling of the relationship between SIF and GPP over broad scales.

17 Both SIF and GPP track each other in a consistent, dynamic fashion in

18 fication of the relationship between SIF and GPP.

19 rieved from a canopy spectrometer system and GPP at a winter-dormant conifer forest, which has little

20 y (precipitation)-induced ET variability and GPP-ET coupling strength.

21 cale, the model predicted the average annual GPP of 7.38 Pg C/year from forest ecosystems during 1985

22 n phenology, plays a dominant role in annual GPP variability, indicating more attention should be pai

23 Overall, mean annual GPP was greatest at the warmest site due to persistent v

24 ilability were the best predictors of annual GPP differences across sites.

25 of plant phenology and physiology on annual GPP variation is not clear.

26 ervations and increases the predicted annual GPP by 30% in relation to JULES.

27 growing season (GSstart and GSend) to annual GPP variability, using a regional GPP product in North A

28 olving dysregulated IL-36 signaling, such as GPP.

29 Our COS-based GPP estimates show that it is essential to incorporate t

30 er or equally well captured by our LRF-based GPP when compared with six state-of-the-art Earth observ

31 six state-of-the-art Earth observation-based GPP products.

32 Here, we report VPM-based GPP (GPPvpm) estimates for the world's ten most populous

33 ptotic light response function (LRF) between GPP and incoming photosynthetically active radiation (PA

34 ing plant diversity increased plant biomass, GPP and R(e) , but NEE remained unchanged.

35 ed eddy covariance flux towers, we find both GPP and ER to be larger at the landscape compared to the

36 other standard partitioning methods for both GPP (R(2) > .94) and RECO (R(2) > .8).

37 ceptors CCR6 and CXCR2 are increased in both GPP and IL-36alpha-treated skin, which led us to test an

38 iated with extracutaneous morbidity, in both GPP and PV.

39 ipants: 12 (19%) by culture only, 9 (14%) by GPP only, and 43 (67%) by both techniques.

40 d areas during summer months was balanced by GPP.

41 NEP was jointly determined by GPP and Re for both inland and coastal wetlands.

42 e positive for Salmonella tested positive by GPP.

43 The recombinant Li3CARS converted GPP into 3-carene as the major product, with K m and k c

44 Finally, posterior estimates of cumulative GPP under control and eCO2 treatments were tested as a b

45 -predicted increase in springtime cumulative GPP was 0.035 Pg/decade [15.5 gCm(-2) (6.8%)/decade] for

46 the relative contributions of maximum daily GPP (GPPmax) and the start and end of growing season (GS

47 d a weakened carbon sink from both decreased GPP and increased RE.

48 valuated 6 years (2007-2012) of flux-derived GPP data from the Prairie Heating and CO2 Enrichment (PH

49 e also found that canopy SIF and SIF-derived GPP (GPPSIF ) were strongly correlated to leaf-level bio

50 Uncertainties in the derived GPP and physiological within-canopy gradients and their

51 types play a substantial role in determining GPP and its response to climate.

52 from linear precursors geranyl diphosphate (GPP) and lavandulyl diphosphate (LPP), respectively.

53 eversible conversion of geranyl diphosphate (GPP) to geraniol.

54 talyzes the reaction of geranyl diphosphate (GPP) with the cis-farnesyl group in phosphoglycolipid 5

55 ate (DMAPP) and then to geranyl diphosphate (GPP).

56 ne donor specificities (geranyl diphosphate [GPP] versus dimethylallyl diphosphate [DMAPP]) with a si

57 ptomic changes in 3 pustular skin disorders, GPP, PPP, and AGEP, converged on neutrophil chemotaxis a

58 summer precipitation such that two distinct GPP maxima were separated by a period of foresummer drou

59 he narrow uncertainties of these data-driven GPP estimates suggest that they could be useful semi-ind

60 Temporal water-driven GPP and TER variations compensate locally, dampening wat

61 and subtype contributions to global dryland GPP variability.

62 ductive ecosystems, this increase in dryland GPP may not increase global GPP.

63 Here we show that by 2100 total dryland GPP will increase by 12 +/- 3% relative to the 2000-2014

64 have functioned as fertilization to enhance GPP (1.4 Pg C per annum in the 2001 decade).

65 is difficult however, to accurately estimate GPP in urban areas, mostly due to the complexity of impe

66 We developed a model to estimate GPP from the tower-based measurement of SIF and leaf-lev

67 MAESTRA-estimated GPP did not statistically differ from GPP estimated usin

68 d respiration measurements, and we estimated GPP in two ways: using (1) the canopy process model MAES

69 m-level physiological approach of estimating GPP using an asymptotic light response function (LRF) be

70 s reduced magnitude of growing season FCH4 , GPP and NEE, thus reducing or reversing their C sink fun

71 systemic biologicals, might be effective for GPP treatment early in disease progression.

72 roduce 3-carene was over ten fold higher for GPP (k cat /K m = 0.56 microM(-1)s(-1)) than NPP (k cat

73 ined using quantitative PCR, were higher for GPP-negative/culture-positive samples than for GPP-posit

74 Here, we focus on a key quantity for GPP, the ratio of leaf internal to external CO2 (chi).

75 P-negative/culture-positive samples than for GPP-positive/culture-positive samples (for rectal swabs,

76 imated GPP did not statistically differ from GPP estimated using approach 2, but was 28% greater than

77 Further, GPP per unit dryland area will decrease as degradation o

78 le understanding past and anticipated future GPP changes is necessary to support carbon management, t

79 does not directly constrain models of future GPP growth, it does provide a global-scale benchmark for

80 s of DMAPP, and couples IPP to DMAPP to give GPP.

81 Global GPP varied from 108.1 to 128.2 PgC yr(-1) , 65% of the r

82 rease in dryland GPP may not increase global GPP.

83 of a recent model intercomparison of global GPP.

84 (r = 0.85-0.91) with three proxies of global GPP.

85 max distributions and their impact on global GPP in the Sheffield Dynamic Global Vegetation Model (SD

86 All hypotheses produced global GPP that was highly correlated (r = 0.85-0.91) with thre

87 ng soil carbon, adequately reproduced global GPP distributions.

88 biogeochemical processes can suppress global GPP growth.

89 GPP, and reveals a stagnation in the global GPP after the year 2000.

90 n of historical drylands outpaces the higher GPP of expanded drylands.

91 This higher GPP IAV in semi-arid regions is co-limited by supply (pr

92 Moreover, in regions with higher GPP variability, GPP fluctuations are mostly controlled

93 However, current ESMs disagree on how GPP responds to environmental variations (1,2) , suggest

94 expansion and vegetation collectively impact GPP variations in these megacities.

95 reduced C gain and growth but did not impact GPP partitioning.

96 e and diffuse radiation will greatly improve GPP estimates of global cropping systems.

97 urrence was lowest in PPP (15.8% vs 54.4% in GPP and 46.2% in ACH, P < .0005 for both), whereas the m

98 rn ecotypes displayed home-site advantage in GPP that was associated with differences in leaf area in

99 nt, the factors driving long-term changes in GPP are largely unknown.

100 Here we show that 1901 to 2010 changes in GPP have been dominated by anthropogenic activity.

101 the green-up period and a sharper decline in GPP(max) during the dry-down period, with less prominent

102 (Jaru RJA) exhibited dry-season declines in GPP and Re consistent with most DGVMs simulations.

103 simulated consistent dry-season declines in GPP in the equatorial Amazon (Manaus K34, Santarem K67,

104 triking pattern was a consistent decrease in GPP/SIF from cold-and-wet climates to hot-and-dry climat

105 of these effects with biggest differences in GPP in the boreal zone (up to ~15%).

106 hereas the mean age of onset was earliest in GPP (31.0 vs 43.7 years in PPP and 51.8 years in ACH, P

107 OX decreases JULES root-mean-square error in GPP by up to 45% in evergreen tropical forests, and can

108 zation also resulted in a faster increase in GPP(max) during the green-up period and a sharper declin

109 sed soil respiration) and a 10% reduction in GPP contributed equally to the difference in NEP between

110 We propose that the reduction in GPP/SIF with decreasing moisture availability may be rel

111 caused considerable site-level reductions in GPP and NEE (of up to 44%), with greatest impacts occurr

112 ern ecotypes exhibited a greater response in GPP when transplanted.

113 suggest that T cells play a crucial role in GPP pathogenesis based on the documented role that IL-12

114 patients was greater in PPP (77.0%) than in GPP (62.5%; P = 5.8 x 10(-5)).

115 ficant predictors of temporal variability in GPP among most treatments.

116 iver of the local interannual variability in GPP and TER.

117 The variation in GPP propagated through to a 27% coefficient of variation

118 Spatial variation in GPP/SIF was strongly modulated by climate variables.

119 hich SIF tracks spatiotemporal variations in GPP remains unresolved.

120 ained 71%, 54%, and 57% of the variations in GPP, Re , and NEP, respectively.

121 Removing foliar fungi increased GPP and NEE, with the greatest effects at low plant dive

122 sink, and plant COS uptake is used to infer GPP through the leaf relative uptake (LRU) ratio of COS

123 covery would have increased the January-June GPP sum by 29 gCm(-2) [8.4 gCm(-2) (3.7%)/decade].

124 imate and the carbon cycle that assume large GPP growth during the twentieth century (31% +/- 5% grow

125 n (DOC) concentrations; and that the maximum GPP, and the critical DOC concentration at which the hum

126 At the end of the 21st century, modeled GPP mainly increases in spring and fall due to reduced t

127 onstrating the potential of SIF for modeling GPP.

128 Modelled GPP is thereafter constrained with meteorological and hy

129 the multiple co-acting factors that modulate GPP and RECO flux dynamics.

130 The results suggest that a mu : GPP value of c. 0.13 is a homeostatic steady state for e

131 These trends constrain the ratio mu : GPP (= (CUEa x CUEh )/(1 - CUEe )) with respect to MAT b

132 ting winter (positive) and summer (negative) GPP responses to warming, leaf area index and moisture a

133 However, the NEP/Re and NEP/GPP ratios exhibited little variability for inland wetla

134 Net and gross primary production (NPP, GPP) are essential properties of these ecosystems, chara

135 The variability in field-observed GPP, net primary productivity and solar-induced fluoresc

136 The model fits the observed GPP well (R(2) = 0.79), which was confirmed by other mod

137 7, and Caxiuana CAX); a contrast to observed GPP increases.

138 is negligible relative to the total observed GPP trend of 0.41 mumol C m(-2) s(-1) yr(-1) .

139 The seasonal amplitude of GPP(max) was higher for NT and NPT than CT, which was at

140 reover they suggest that ecotypic control of GPP may limit the response of ecosystem productivity to

141 sis for the reformulation of the controls of GPP in next-generation ESMs.

142 The temperature dependence of GPP is directly linked to photosynthetic physiology, but

143 ains the long-term temperature dependence of GPP, and highlights the importance of considering physio

144 one of its kind where nano-encapsulation of GPP into W/O emulsion was done to stabilize the active c

145 tain an Emergent Constraint (EC) estimate of GPP enhancement in the northern high latitudes at two-ti

146 sent a global, measurement-based estimate of GPP growth during the twentieth century that is based on

147 The estimation of GPP from this model agreed well with flux tower observat

148 nmental variables for accurate estimation of GPP on ecosystem, regional, and global scales.

149 le and the magnitude of CO2 fertilization of GPP is almost linear across the entire ensemble of model

150 ) as proxies for the timing and magnitude of GPP in evergreen forests at an unprecedented spatiotempo

151 agreed well with flux tower observations of GPP (R(2 ) = 0.68; P < 0.0001), demonstrating the potent

152 ficant as it reduced model overestimation of GPP and LE by ~11%-25% compared to 1%-11% from O(3) stre

153 new pathways involved in the pathogenesis of GPP, we performed whole-exome sequencing in 31 individua

154 insights into the spatiotemporal patterns of GPP change.

155 ESMs require accurate representation of GPP.

156 d NEE due to a stronger positive response of GPP compared to ER, indicating that clipping could poten

157 otosynthetic physiology, but the response of GPP to warming over longer timescales could also be shap

158 models fail to reproduce the seasonality of GPP.

159 mplitude, were extracted from time series of GPP(max) and used to represent the seasonality of vegeta

160 response function, improving simulations of GPP, and reveals a stagnation in the global GPP after th

161 otosynthesis model for diagnostic studies of GPP and the terrestrial carbon cycle in urban areas.

162 This change in the springtime sum of GPP related to the timing of spring snowmelt is quantifi

163 phenotype assessment, additional testing of GPP-negative/culture-positive isolate suspensions with t

164 mercial confirmatory nucleic acid testing of GPP-positive/culture-negative extracts.

165 The results showed an increasing trend of GPP in North America (1.0 Pg C/decade).

166 g-term trend and inter-annual variability of GPP are dominated by GPPmax both at the ecosystem and re

167 n explain 98% of inter-annual variability of GPP over mid- and high latitudes in North America.

168 First, anthropogenic controls on GPP change have increased from 57% (1901 decade) to 94%

169 f N fertilization induced by N deposition on GPP(max) may be counteracted by an earlier and faster dr

170 s taxa dampens the effects of temperature on GPP across a catchment of geothermally heated streams.

171 PD, (b) direct effects of air temperature on GPP dynamics, (c) hysteresis in the diel cycle of gross

172 Other GPP products either showed no trends or continuous incre

173 uminex xTAG gastrointestinal pathogen panel (GPP) and culture results are highly concordant.

174 agreement; however, for specific pathogens, GPP is less sensitive than culture and, notably, identif

175 ity of fabricating grapefruit-peel-phenolic (GPP) nano-emulsion in mustard oil using ultrasonication.

176 d the gross carbon uptake by photosynthesis (GPP).

177 Most positive GPP trends were seen in areas with croplands whereas neg

178 rement period resulted in moderate predicted GPP trends of 0.02-0.04 mumol C m(-2) s(-1) yr(-1) , whi

179 ospheric drought is important for predicting GPP under current and future climate; we highlight the n

180 otosynthesis (8) , and successfully predicts GPP measured at eddy-covariance flux sites.

181 modified the activity of LiGGPPS (to produce GPP) in bacterial cells co-expressing both proteins.

182 ry partitioning of gross primary production (GPP) and CUE of field-grown trees in a long-term warming

183 stimates of global gross primary production (GPP) are essential for understanding the response of the

184 ponding changes in gross primary production (GPP) by applying in situ carbon flux observations.

185 ive an ensemble of gross primary production (GPP) estimates using the average of three data-driven mo

186 exchange (NEE) and gross primary production (GPP) fluxes from a 9-years water table manipulation expe

187 of the model: that gross primary production (GPP) follows a hump-shaped relationship with increasing

188 ve helped increase gross primary production (GPP) in recent decades.

189 timate and monitor gross primary production (GPP) in terrestrial ecosystems requires a comprehensive

190 e-scale changes in gross primary production (GPP) in these systems is challenging.

191 Gross primary production (GPP) is the largest flux in the carbon cycle, yet its re

192 spiration (ER) and gross primary production (GPP) negatively responded to warming, net ecosystem exch

193 The gross primary production (GPP) of vegetation in urban areas plays an important rol

194 on variability in gross primary production (GPP) remain elusive.

195 Quantifying gross primary production (GPP) remains a major challenge in global carbon cycle re

196 he partitioning of gross primary production (GPP) to aboveground respiration and growth while decreas

197 in the response of gross primary production (GPP) to rainfall change (intrinsic response).

198 spiration (RE) and gross primary production (GPP) to this weakened carbon sink.

199 quantification of gross primary production (GPP), the largest flux of C in the global C cycle.

200 wth in terrestrial gross primary production (GPP)-the amount of carbon dioxide that is 'fixed' into o

201 Gross primary production (GPP)-the uptake of carbon dioxide (CO2) by leaves, and i

202 standing of global gross primary production (GPP).

203 ) as a fraction of gross primary production (GPP).

204 c carbon fixation (Gross Primary Production, GPP), as can be evidenced from atmospheric CO(2) concent

205 that is, maximum gross primary productivity (GPP(max) ).

206 ng from changing gross primary productivity (GPP) and ecosystem respiration (ER), remains unknown.

207 evealed that the gross primary productivity (GPP) and ecosystem respiration (RE) were primarily affec

208 del estimates of gross primary productivity (GPP) and latent heat fluxes (LE) against present-day obs

209 ther conditions, gross primary productivity (GPP) and net primary productivity (NPP) of wood and frui

210 may affect their gross primary productivity (GPP) and response to climate change.

211 ionships between gross primary productivity (GPP) and the remotely sensed photochemical reflectance i

212 O(2) response of gross primary productivity (GPP) and transpiration at the global scale.

213 th the effect on gross primary productivity (GPP) close to 0.

214 conductance and gross primary productivity (GPP) derived from EC data to calculate a measure of iWUE

215 Gross primary productivity (GPP) increased with diffuse fraction and thus was greate

216 mate controls on gross primary productivity (GPP) is crucial for accurate projections of the future l

217 n of terrestrial gross primary productivity (GPP) remains a challenge despite its importance in the g

218 e sensitivity of gross primary productivity (GPP) to soil moisture, which improves the model agreemen

219 Annual gross primary productivity (GPP) varies considerably due to climate-induced changes

220 nal evolution of gross primary productivity (GPP) was characterized by a single broad maximum during

221 iration (Reco ), gross primary productivity (GPP), and net summer CO2 storage (NEE).

222 ential tracer of gross primary productivity (GPP), assuming a unidirectional COS flux into the vegeta

223 Exchange (NEE), Gross Primary Productivity (GPP), ecosystem respiration (R(eco) ) and soil respirati

224 ad higher annual gross primary productivity (GPP), ecosystem respiration (Re ), and net ecosystem pro

225 annual cycle of gross primary productivity (GPP), of photosynthetic capacity (Pc), and of other flux

226 availability on gross primary productivity (GPP), terrestrial ecosystem respiration (TER) and net ec

227 to warming than gross primary productivity (GPP), while the opposite was observed for cold grassland

228 ly driven by low gross primary productivity (GPP), with little shift in either carbon use efficiency

229 O(2) into plants-gross primary productivity (GPP)-is the largest land carbon flux globally.

230 ance terrestrial gross primary productivity (GPP).

231 ns of the forest gross primary productivity (GPP).

232 ) is a valid data-driven approach to provide GPP and RECO estimates and complementary to the existing

233 Generalized pustular psoriasis (GPP) is a severe multi-systemic inflammatory disease cha

234 attention on generalized pustular psoriasis (GPP), a clinical variant associated with pervasive upreg

235 attention on generalized pustular psoriasis (GPP), a potentially life-threatening disorder presenting

236 erbations of generalised pustular psoriasis (GPP), a rare form of psoriasis that can be caused by CAR

237 ke disorder, generalized pustular psoriasis (GPP), is linked to loss-of-function mutations in the gen

238 n disorders: generalized pustular psoriasis (GPP), palmoplantar pustulosis (PPP), and acute generaliz

239 te systemic (generalized pustular psoriasis [GPP]) or chronic localized (palmoplantar pustulosis [PPP

240 proach 2, but was 28% greater than published GPP estimates for the same site and years using eddy cov

241 the fluxes of aboveground respiration (Ra ), GPP and their ratio (Ra /GPP) in large, field-grown Euca

242 Thus, warming significantly increased Ra /GPP by moving plants to higher positions on the shared R

243 respiration (Ra ), GPP and their ratio (Ra /GPP) in large, field-grown Eucalyptus tereticornis trees

244 plants to higher positions on the shared Ra /GPP vs daily temperature relationship, but this effect w

245 d saturated microsites and suppressed Reco , GPP, and NEE.

246 In the initial stages of thaw, Reco , GPP, and NEE increased linearly with thaw across all tre

247 Over 7 years Reco , GPP, and NEE also increased in Control (i.e., ambient pl

248 to annual GPP variability, using a regional GPP product in North America during 2000-2014 and GPP da

249 Model simulated dry-season GPP reductions were driven by an external environmental

250 frastructure (Pc), while observed dry-season GPP resulted from a combination of internal biological (

251 imate we measured and modeled growing season GPP in reciprocally transplanted and experimentally warm

252 reducing magnitude of maximum growing season GPP in subsequent flood years by 15% compared to control

253 We found that the growing season GPP/SIF ratio varied substantially across global land su

254 ies exist due to the challenge in separating GPP and respiration from observations of the carbon diox

255 A linear SIF-GPP relationship is also obtained at eddy-flux sites cov

256 ces in biomass among sites, biomass-specific GPP was independent of temperature in spite of a 20 degr

257 Specimens GPP positive/culture negative for Salmonella originated

258 ions from the 12 participants with specimens GPP negative/culture positive for Salmonella tested posi

259 this sensitivity of the measured springtime GPP to the spring recovery to be in accordance with the

260 litude and 0.52% Span-80 produced the stable GPP nano-emulsion with a droplet size of 29.73 +/- 1.62

261 th the inclusion of drought and O(3) stress, GPP at CPZ, BLO and HYY is projected to increase by 7%,

262 product profiles from different substrates (GPP versus NPP) by Li3CARS indicates that monoterpene me

263 hawed soils exceeded the increases in summer GPP, and thawed tundra was a net annual CO2 source.

264 LRF-based average annual global terrestrial GPP budget was 121.8 +/- 3.5 Pg C, with a detrended inte

265 The trend in global terrestrial GPP during 1982-2015 was 0.27 +/- 0.02 Pg C year(-1) , a

266 molecular origin, can assist in terrestrial GPP monitoring.

267 Furthermore, we show that GPP/SIF can be empirically modeled from climate variable

268 The GPP data were used to calibrate a light response model w

269 erns of gross CO(2) fluxes, such as: (a) the GPP response to VPD, (b) direct effects of air temperatu

270 Here we derived the GPP/SIF ratio from multiple data sources as a diagnostic

271 e data, and satellite images to estimate the GPP of terrestrial ecosystems including urban areas.

272 aises concerns regarding the accuracy of the GPP, especially for Salmonella spp.

273 ulture-positive isolate suspensions with the GPP, and in-house and commercial confirmatory nucleic ac

274 lostridium difficile, were detected with the GPP.

275 tree cover and vegetation carbon compared to GPP, total carbon storage and turnover times.

276 able sequence of primary limiting factors to GPP beginning with air temperature in winter and proceed

277 selectivity gradually switching from FPP to GPP, until replacement of the final alpha-helix, whereup

278 tation, which has been empirically linked to GPP at large spatial scales.

279 e ratio of net ecosystem production (NEP) to GPP, was estimated for each site using published models.

280 ning in conditions phenotypically related to GPP uncovered further disease alleles in one subject wit

281 ks-including a large sink that is related to GPP.

282 MPO mutations contribute significantly to GPP's pathogenesis.

283 alized pustular psoriasis von Zumbusch type (GPP) is the most severe manifestation of psoriasis.

284 fected instantaneous rates of carbon uptake (GPP), ecosystem respiration (R(e) ) and net ecosystem ex

285 ver, in regions with higher GPP variability, GPP fluctuations are mostly controlled by precipitation

286 e a large fraction of carbon assimilated via GPP is quickly returned to the atmosphere via respiratio

287 , including 863 unrelated patients (251 with GPP, 560 with PPP, 28 with ACH, and 24 with multiple dia

288 MPO deficiency, cumulatively associated with GPP (p = 1.85E-08; OR = 6.47).

289 milar, but attenuated, changes compared with GPP.

290 hole-exome sequencing in 31 individuals with GPP and demonstrated effects of mutations in MPO encodin

291 fficient treatment modality interfering with GPP pathomechanisms.

292 erged as common alterations in patients with GPP, PPP, and AGEP, which is consistent with the pustula

293 biopsy specimens obtained from patients with GPP, PPP, or AGEP and healthy control subjects.

294 OS flux into the vegetation that scales with GPP.

295 patients with PPP (0.03) than in those with GPP (0.19) and ACH (0.16; P = 1.9 x 10(-14) and .002, re

296 ces between patients with PPP and those with GPP.

297 The use of the Luminex xTAG GPP for the detection of enteric pathogens in settings,

298 targets between culture and the Luminex xTAG GPP.

299 Stimulation of cumulative 6-year GPP by warming (29%, P = 0.02) and eCO2 (26%, P = 0.07)

300 improved the predicted performance of yearly GPP with a 57%-210% increase in correlation (median) and