Figure 1. Comparisons across evergreen coniferous (green bars), deciduous broadleaf (blue bars) and tropical forests (red bars), regarding (A) NEP in proportion.

Slides:

Advertisements

Similar presentations

TEMPORAL VARIABILITY AND DRIVERS OF NET ECOSYSTEM PRODUCTION OF A TURKEY OAK (QUERCUS CERRIS L.) FOREST IN ITALY UNDER COPPICE MANAGEMENT Luca Belelli.

Advertisements

Robertson, G. P. and S. K. Hamilton Long-term ecological research in agricultural landscapes at the Kellogg Biological Station LTER site: conceptual.

BIOME-BGC estimates fluxes and storage of energy, water, carbon, and nitrogen for the vegetation and soil components of terrestrial ecosystems. Model algorithms.

Introduction: Globally, atmospheric concentrations of CO 2 are rising, and are expected to increase forest productivity and carbon storage. However, forest.

Potential impact of climate change on growth and wood quality in white spruce Christophe ANDALO 1,2, Jean BEAULIEU 1 & Jean BOUSQUET 2 1 Natural Resources.

Effects of Intensive Fertilization on the Growth of Interior Spruce Presentation to: Interior Fertilization Working Group February 5/13 (revised March.

Predicting Current and Future Tree Diversity in the Pacific Northwest I R S S Richard Waring 1 Nicholas Coops 2 1 Oregon State University 2 University.

4.2 Displays of Quantitative Data. Stem and Leaf Plot A stem-and-leaf plot shows data arranged by place value. You can use a stem-and-leaf plot when you.

Figure 1. Diagrammatic presentation of appliance design, occlusal view. From: The extent of root resorption and tooth movement following the application.

Figure 4. The distribution of biology teacher main assignments

and Other Related Measurements

Figure 1: effects of the fire frequency and season treatments on cumulative mean fire intensity (mean intensity of all fires on a plot × number of fires/period.

Fig. 3. Relationship between plot-level mean (PLM) leaf mass per area (LMA, g m–2) and gap light index (GLI, a percentage measure of light availability)

Find the lower and upper quartiles for the data set.

Figure 1 Cumulative chance of pregnancy according to age at initiation of pregnancy seeking. The curves were drawn based on the following assumptions:

Fig. 2 Two-dimensional embedding result obtained using nMDS.

From: Growing and Slowing Down Like China

Figure 3 Rule of law and cost of enforcement EBA

Figure 1: monthly precipitation and air temperature in 2006 and 2007 and their departures from the means of the previous 50 years (1956–2005) at the study.

Figure 1. Annual YOY abundance index (solid line) for Atlantic menhaden from MD, United States with 95% confidence interval (dashed lines). The index is.

Figure 3 An example plot with high error index values for the estimated diameter distributions: ML-estimation (48.5), parameter recovery (70.7), ALS-based.

3-PG The Use of Physiological Principles in Predicting Forest Growth

From: More on the Best Evolutionary Rate for Phylogenetic Analysis

Fig. 1 Overview of model components to identify if hormonal pleiotropy constrains or facilitates phenotypic responses to selection. The environment imposes.

From: Face Recognition is Shaped by the Use of Sign Language

Using tree ring databases to evaluate regional climate drivers of productivity variability in ORCHIDEE-FM model Kun Tan1, Flurin Babst2, Ben Poulter1,

Analysis of Long-Term Hydrologic Records in the

Fig 1 Perfusion index values at different time intervals in patients with successful and failed blocks. A reference line at PI 3.3 is provided. Horizontal.

F igure 1. Current distribution of extant plethodontid salamanders

Figure 1. Representative photographs of control (a, b) and oak powdery mildew (E. alphitoides)-infected (c, d) leaves of Q. robur. The images for both.

FIG. 1. Various models of rate variation across sites and lineages

Figure 1. Distribution of pelagic fish stocks.

6.3 Ecosystems Ecosystems

Tree-ring d13C and d18O responses to climate change and forest

Figure 1. Variance partition for the different phases of bud and cambial phenology in black spruce provenances. From: Synchronisms between bud and cambium.

Figure 1. Example of phase shift angles among three different terns where one of them has been taken as a reference. From: Assessment of ELF magnetic fields.

Figure 1. Spatial distribution of pinyon-juniper and ponderosa pine forests is shown for the southwestern United States. Red dots indicate location of.

FIGURE 1. Estimated instantaneous fault detection rate

Climate Graphs What do they tell us?.

Climate Graphs What do they tell us?.

Characterization and quantification of clonal heterogeneity among hematopoietic stem cells: a model-based approach by Ingo Roeder, Katrin Horn, Hans-Bernd.

Paleoproductivity Paleoproductivity > 1976 Regime-shift Opal (%)

Volume 87, Issue 1, Pages (July 2015)

CA3 Retrieves Coherent Representations from Degraded Input: Direct Evidence for CA3 Pattern Completion and Dentate Gyrus Pattern Separation Joshua P.

Figure 1 Experimental workflow and predictive modelling

Figure 1. Bar plots of age-standardized (world population) death rates per 100 000 persons for the year 2014 (blue, ... Figure 1. Bar plots of age-standardized.

by Wei-Ping Chan, I-Ching Chen, Robert K

Shannon diversity index values for archaeal, bacterial, and fungal communities. Shannon diversity index values for archaeal, bacterial, and fungal communities.

Volume 5, Issue 4, Pages e4 (October 2017)

Figure 1 Relationships between probability of prey discard and each parameter explored. To show the most robust ... Figure 1 Relationships between probability.

How Local Is the Local Field Potential?

Figure 1 The probability of sighting a Cooper’s hawk (Accipiter cooperii) is significantly higher in the morning than ... Figure 1 The probability of sighting.

Volume 26, Issue 5, Pages (March 2016)

Figure 1 Mean ± standard error proportions of (a) courtship and (b) copulation by female-male type pairing. Error bars ... Figure 1 Mean ± standard error.

(A–D) Distribution of age (A), mRSS (B), ...

(a, b) Hypothetical scenario where 2 samples of 2 proportions may explain two different scenarios in the environment. (a, b) Hypothetical scenario where.

Antisense expression associates with larger gene expression variability. Antisense expression associates with larger gene expression variability. (A–D)

by Sara Rivero-Calle, Anand Gnanadesikan, Carlos E

Figure 1. Trends over time for environmental issues identified in the 1992 scientists’ warning to humanity. The years ... Figure 1. Trends over time for.

Between-country and within-country variability in the number of nursing care activities left undone—composite score in 488 European hospitals. Between-country.

Fig. 2 Absolute recovery of species richness and relative recovery of species richness and composition in relation to stand age for Neotropical secondary.

Humans Can Continuously Optimize Energetic Cost during Walking

Fig. 2 Box plots of water use with lateral lengths.

EEG-based classification accuracy for across- and within-expression discrimination of facial identity with temporally cumulative data (50–650 ms after.

Unless provided in the caption above, the following copyright applies to the content of this slide: Published on behalf of the European Society of Cardiology.

by Robbie Weterings, Chanin Umponstira, and Hannah L. Buckley

Figure 2. Performance of penalized likelihood for the estimation of the variance covariance matrix and comparison with ... Figure 2. Performance of penalized.

Relationships between species richness and temperature or latitude

Global effect of tree species diversity on forest productivity.

Figure 1. Forest plot of lung cancer mortality in LDCT trials.

Presentation transcript:

Figure 1. Comparisons across evergreen coniferous (green bars), deciduous broadleaf (blue bars) and tropical forests (red bars), regarding (A) NEP in proportion to GPP, with (B) corresponding absolute GPP (black bars), (C) canopy transpiration (Ec) in proportion to precipitation (P), with (D) corresponding absolute P (black bars), (E) GPP in proportion to ET. Each box plot shows median, lower (25%) and upper (75%) quartile along with minimum and maximum levels of the explored parameter as centre line, box and whiskers, respectively, i.e., box plot in (A) NEP/GPP, in (C) Ec/P, and in (E) GPP/ET. Data in (A, B) from Waring and Running (2009) and in (C–E) from Schlesinger and Bernhardt (2013). From: Woody-plant ecosystems under climate change and air pollution—response consistencies across zonobiomes? Tree Physiol. 2017;37(6):706-732. doi:10.1093/treephys/tpx009 Tree Physiol | © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Figure 2. Seasonal course of the monthly C balance of 95-year-old Pinus cembra (red columns) and 65-year-old Larix decidua (green columns) trees, assessed on Mt Patscherkofel (Klimahaus) Austria, at 1950 m above sea level; positive columns represent C gain, negative ones respiratory C release (adapted from Wieser et al. 2007). From: Woody-plant ecosystems under climate change and air pollution—response consistencies across zonobiomes? Tree Physiol. 2017;37(6):706-732. doi:10.1093/treephys/tpx009 Tree Physiol | © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Figure 3. Net biomass change measured in permanent plots in Amazonia since 1980. The 2005 drought reversed the long-term C sink to source. Shown are means and 95% bootstrapped confidence intervals for interval-related biomass change weighted by sampling intensity: black representing 1980–1989, 1990–1994 and 1995–1999, each interval graphically represented by (i.e., aligned with) its central year; blue accordingly, with the drought interval starting in 2005 (i.e., with 2000–2004 as pre-drought reference; modified from Phillips et al. 2009). From: Woody-plant ecosystems under climate change and air pollution—response consistencies across zonobiomes? Tree Physiol. 2017;37(6):706-732. doi:10.1093/treephys/tpx009 Tree Physiol | © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Figure 4. Brazilian Cerrado (mixed-foliage system): mean responses of five Cerrado tree species (A–D) and at ecosystem level (E, F) to N and N+P (NP) additions relative to controls: (A) foliage area, (B) basal area, (C) daily water use per tree, (D) nutritional resorption, (E) litter decomposition velocity and (F) Shannon's diversity index (H’). (A–C) Sampled after 6 years of fertilization (extracted from Bucci et al. 2006). (D–F) Sampled after 3 (extracted from Kozovits et al. 2007) and 10 years (extracted from Jacobson et al. 2011) of fertilization. From: Woody-plant ecosystems under climate change and air pollution—response consistencies across zonobiomes? Tree Physiol. 2017;37(6):706-732. doi:10.1093/treephys/tpx009 Tree Physiol | © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Figure 5. Annual BAI of Norway spruce (n = 143), European beech (n = 287) and sessile oak (n = 129) in pure and mixed stands of southern Germany from the mid-1950s through 2010 (as means ± SD). From each tree, two cores were taken for individual BAI assessment. Note strong growth reductions in spruce and beech rather than oak during drought years 1976 and 2003 (from Pretzsch et al. 2013a). From: Woody-plant ecosystems under climate change and air pollution—response consistencies across zonobiomes? Tree Physiol. 2017;37(6):706-732. doi:10.1093/treephys/tpx009 Tree Physiol | © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

Figure 6. Schematic growth trends of oak (Q Figure 6. Schematic growth trends of oak (Q. petraea and Quercus robur) from 14 forest sites across Switzerland, Germany and Poland since the beginning of the survey in 1900 (figure unchanged from Pretzsch et al. 2014c, discerned patterns based on detailed quantitative data analysis). Above, temporal trends qualitatively from left to right: acceleration of tree size growth, stand growth rate and standing stock (original units as ‘m<sup>3</sup> yr<sup>−1</sup>’, ‘m<sup>3</sup> ha<sup>−1</sup> yr<sup>−1</sup>’, ‘m<sup>3</sup> ha<sup>−1</sup>’, respectively) over stand age (years). Below, from left to right: accelerated decrease of tree number over age (originally ‘ha<sup>−1</sup>’, years, respectively); upwards shift of the allometric relationship between tree volume growth and tree volume (originally ‘m<sup>3</sup> yr<sup>−1</sup>’, ‘m<sup>3</sup>’, respectively); upwards shift of the self-thinning line and accelerated passing of stands along the tree number-tree size trajectory (independent and dependent variable logarithmically transformed); dark green 1900 until 1960, light green 1960 until present (see Pretzsch et al. 2014c for details). From: Woody-plant ecosystems under climate change and air pollution—response consistencies across zonobiomes? Tree Physiol. 2017;37(6):706-732. doi:10.1093/treephys/tpx009 Tree Physiol | © The Author 2017. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com