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	<title>Publications | ECOSS - The Center for Ecosystem Science and Society</title>
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	<title>Publications | ECOSS - The Center for Ecosystem Science and Society</title>
	<link>https://ecoss-nau.org</link>
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		<title>Biology at the macrosystem scale</title>
		<link>https://ecoss-nau.org/publication/biology-at-the-macrosystem-scale/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Fri, 19 Mar 2021 21:12:41 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6461</guid>

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		<title>How close are we to the temperature tipping point of the terrestrial biosphere?</title>
		<link>https://ecoss-nau.org/publication/how-close-are-we-to-the-temperature-tipping-point-of-the-terrestrial-biosphere/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Fri, 19 Mar 2021 20:25:02 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6459</guid>

					<description><![CDATA[The temperature dependence of global photosynthesis and respiration determine land carbon sink strength. While the land sink currently mitigates ~30% of anthropogenic carbon emissions, it is unclear whether this ecosystem service will persist and, more specifically, what hard temperature limits, if any, regulate carbon uptake. Here, we use the largest continuous carbon flux monitoring network to construct the first observationally derived temperature response curves for global land carbon uptake. We show that the mean temperature of the warmest quarter (3-month period) passed the thermal maximum for photosynthesis during the past decade. At higher temperatures, respiration rates continue to rise in contrast to sharply declining rates of photosynthesis. Under business-as-usual emissions, this divergence elicits a near halving of the land sink strength by as early as 2040.]]></description>
										<content:encoded><![CDATA[<p><span>The temperature dependence of global photosynthesis and respiration determine land carbon sink strength. While the land sink currently mitigates ~30% of anthropogenic carbon emissions, it is unclear whether this ecosystem service will persist and, more specifically, what hard temperature limits, if any, regulate carbon uptake. Here, we use the largest continuous carbon flux monitoring network to construct the first observationally derived temperature response curves for global land carbon uptake. We show that the mean temperature of the warmest quarter (3-month period) passed the thermal maximum for photosynthesis during the past decade. At higher temperatures, respiration rates continue to rise in contrast to sharply declining rates of photosynthesis. Under business-as-usual emissions, this divergence elicits a near halving of the land sink strength by as early as 2040.</span></p>
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		<title>13C analysis of fatty acid fragments by gas chromatography mass spectrometry for metabolic flux analysis</title>
		<link>https://ecoss-nau.org/publication/13c-analysis-of-fatty-acid-fragments-by-gas-chromatography-mass-spectrometry-for-metabolic-flux-analysis/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Tue, 01 Dec 2020 17:16:50 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6378</guid>

					<description><![CDATA[When multiple metabolic pathways lead to the same product, compound-specific isotope analysis may not provide enough information to quantify the activities of the contributing pathways. Instead, identification of where in the molecule the 13C is incorporated is required. Here we show how knowledge of position-specific 13C incorporation in fatty acids (FA) and FA fragments can be used to quantitatively estimate the fluxes through the central C metabolic network. We developed a method to measure 13C enrichment of FA and FA fragments (ethanoate, propionate) using electron impact GC–MS. We tested the accuracy and repeatability of the measurements using natural abundance and position-specific 13C labelled standards and FA extracted from Bacillus licheniformis and Pseudomonas fluorescens grown with labelled and unlabelled glucose. The molecular ions of FA generally reflected theoretical predictions of mass isotopomer distributions for natural abundance values, but that of the associated FA fragments deviated from expected values, likely associated with McLafferty rearrangements of hydrogen. After correction for naturally occurring isotopes, 13C enrichments of FA and FA fragments showed good agreement with expected isotope composition of FA standards (root mean square error &#60; 0.044 at%; δ13C of ∼ 40‰), natural abundance and labelled glucose. The unsaturated FA extracted from P. fluorescens deviated from expected values [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><span>When multiple metabolic pathways lead to the same product, compound-specific isotope analysis may not provide enough information to quantify the activities of the contributing pathways. Instead, identification of where in the molecule the 13C is incorporated is required. Here we show how knowledge of position-specific 13C incorporation in fatty acids (FA) and FA fragments can be used to quantitatively estimate the fluxes through the central C metabolic network. We developed a method to measure 13C enrichment of FA and FA fragments (ethanoate, propionate) using electron impact GC–MS. We tested the accuracy and repeatability of the measurements using natural abundance and position-specific 13C labelled standards and FA extracted from Bacillus licheniformis and Pseudomonas fluorescens grown with labelled and unlabelled glucose. The molecular ions of FA generally reflected theoretical predictions of mass isotopomer distributions for natural abundance values, but that of the associated FA fragments deviated from expected values, likely associated with McLafferty rearrangements of hydrogen. After correction for naturally occurring isotopes, 13C enrichments of FA and FA fragments showed good agreement with expected isotope composition of FA standards (root mean square error &lt; 0.044 at%; δ13C of ∼ 40‰), natural abundance and labelled glucose. The unsaturated FA extracted from P. fluorescens deviated from expected values likely associated with problems of co-elution and ion suppression and were excluded from analysis. The ratio of glucose-1-13C to glucose-3-13C incorporation into FA fragments was high for B. licheniformis, but low for P. fluorescens. Metabolic flux modelling based on the 13C enrichment of ethanoate and propionate fragments showed that B. licheniformis used Embden-Meyerhof-Parnas and pentose phosphate pathway (66% and 30%, respectively), whereas P. fluorescens utilized Entner-Doudoroff and pentose phosphate pathway (72% and 27%, respectively). FA fragment analysis is therefore a promising tool to study central C metabolic network activities of co-occurring groups of microbes in intact and complex environmental communities.</span></p>
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		<title>A dynamic disequilibrium hypothesis for terrestrial carbon cycle</title>
		<link>https://ecoss-nau.org/publication/a-dynamic-disequilibrium-hypothesis-for-terrestrial-carbon-cycle/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Tue, 09 Feb 2021 23:40:49 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6445</guid>

					<description><![CDATA[The dynamic equilibrium of mass and energy movement in ecosystems is an important basis for the Earth system to nurture and maintain biodiversity. Since the Industrial Revolution, human activities have caused the carbon exchange between terrestrial ecosystems and the atmosphere to be at dynamic disequilibrium. This paper examines a dynamic disequilibrium hypothesis for the carbon cycle of terrestrial ecosystems. The hypothesis suggests that the dynamic disequilibrium is caused by interactions of four basic properties of internal processes of the terrestrial carbon cycle with five types of external drivers. Based on these internal properties and external drivers, this paper summarizes the expression phenomena of the dynamic disequilibrium of terrestrial carbon cycle at different time and space scales, and discusses its detection methods from the perspective of observations, experiments and models. The dynamic disequilibrium hypothesis for terrestrial carbon cycle not only helps us understand the complex terrestrial carbon-cycle phenomenon, but also provides a new theoretical framework for predicting the future terrestrial carbon sink dynamics.]]></description>
										<content:encoded><![CDATA[<p><span>The dynamic equilibrium of mass and energy movement in ecosystems is an important basis for the Earth system to nurture and maintain biodiversity. Since the Industrial Revolution, human activities have caused the carbon exchange between terrestrial ecosystems and the atmosphere to be at dynamic disequilibrium. This paper examines a dynamic disequilibrium hypothesis for the carbon cycle of terrestrial ecosystems. The hypothesis suggests that the dynamic disequilibrium is caused by interactions of four basic properties of internal processes of the terrestrial carbon cycle with five types of external drivers. Based on these internal properties and external drivers, this paper summarizes the expression phenomena of the dynamic disequilibrium of terrestrial carbon cycle at different time and space scales, and discusses its detection methods from the perspective of observations, experiments and models. The dynamic disequilibrium hypothesis for terrestrial carbon cycle not only helps us understand the complex terrestrial carbon-cycle phenomenon, but also provides a new theoretical framework for predicting the future terrestrial carbon sink dynamics.</span></p>
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		<title>A new perspective on ecological prediction reveals limits to climate adaptation in a temperate tree species</title>
		<link>https://ecoss-nau.org/publication/a-new-perspective-on-ecological-prediction-reveals-limits-to-climate-adaptation-in-a-temperate-tree-species/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Tue, 04 Aug 2020 22:50:58 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6079</guid>

					<description><![CDATA[Forests absorb a large fraction of anthropogenic CO2 emission, but their ability to continue to act as a sink under climate change depends in part on plant species undergoing rapid adaptation. Yet models of forest response to climate change currently ignore local adaptation as a response mechanism. Thus, considering the evolution of intraspecific trait variation is necessary for reliable, long-term species and climate projections. Here, we combine ecophysiology and predictive climate modeling with analyses of genomic variation to determine whether sugar and starch storage, energy reserves for trees under extreme conditions, have the heritable variation and genetic diversity necessary to evolve in response to climate change within populations of black cottonwood (Populus trichocarpa). Despite current patterns of local adaptation and extensive range-wide heritable variation in storage, we demonstrate that adaptive evolution in response to climate change will be limited by a lack of heritable variation within northern populations and by a need for extreme genetic changes in southern populations. Our method can help design more targeted species management interventions and highlights the power of using genomic tools in ecological prediction to scale from molecular to regional processes to determine the ability of a species to respond to future climates.]]></description>
										<content:encoded><![CDATA[<p><span>Forests absorb a large fraction of anthropogenic CO2 emission, but their ability to continue to act as a sink under climate change depends in part on plant species undergoing rapid adaptation. Yet models of forest response to climate change currently ignore local adaptation as a response mechanism. Thus, considering the evolution of intraspecific trait variation is necessary for reliable, long-term species and climate projections. Here, we combine ecophysiology and predictive climate modeling with analyses of genomic variation to determine whether sugar and starch storage, energy reserves for trees under extreme conditions, have the heritable variation and genetic diversity necessary to evolve in response to climate change within populations of black cottonwood (Populus trichocarpa). Despite current patterns of local adaptation and extensive range-wide heritable variation in storage, we demonstrate that adaptive evolution in response to climate change will be limited by a lack of heritable variation within northern populations and by a need for extreme genetic changes in southern populations. Our method can help design more targeted species management interventions and highlights the power of using genomic tools in ecological prediction to scale from molecular to regional processes to determine the ability of a species to respond to future climates.</span></p>
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		<title>A spatial concordance correlation coefficient with an application to image analysis</title>
		<link>https://ecoss-nau.org/publication/a-spatial-concordance-correlation-coefficient-with-an-application-to-image-analysis/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Mon, 22 Feb 2021 22:28:24 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6452</guid>

					<description><![CDATA[In this work we define a spatial concordance coefficient for second-order stationary processes. This problem has been widely addressed in a non-spatial context, but here we consider a coefficient that for a fixed spatial lag allows one to compare two spatial sequences along a 45°line. The proposed coefficient was explored for the bivariate Matérn and Wendland covariance functions. The asymptotic normality of a sample version of the spatial concordance coefficient for an increasing domain sampling framework was established for the Wendland covariance function. To work with large digital images, we developed a local approach for estimating the concordance that uses local spatial models on non-overlapping windows. Monte Carlo simulations were used to gain additional insights into the asymptotic properties for finite sample sizes. As an illustrative example, we applied this methodology to two similar images of a deciduous forest canopy. The images were recorded with different cameras but similar fields-of-view and within minutes of each other. Our analysis showed that the local approach helped to explain a percentage of the non-spatial concordance and provided additional information about its decay as a function of the spatial lag.]]></description>
										<content:encoded><![CDATA[<p><span>In this work we define a spatial concordance coefficient for second-order stationary processes. This problem has been widely addressed in a non-spatial context, but here we consider a coefficient that for a fixed spatial lag allows one to compare two spatial sequences along a 45°line. The proposed coefficient was explored for the bivariate Matérn and Wendland covariance functions. The asymptotic normality of a sample version of the spatial concordance coefficient for an increasing domain sampling framework was established for the Wendland covariance function. To work with large digital images, we developed a local approach for estimating the concordance that uses local spatial models on non-overlapping windows. Monte Carlo simulations were used to gain additional insights into the asymptotic properties for finite sample sizes. As an illustrative example, we applied this methodology to two similar images of a deciduous forest canopy. The images were recorded with different cameras but similar fields-of-view and within minutes of each other. Our analysis showed that the local approach helped to explain a percentage of the non-spatial concordance and provided additional information about its decay as a function of the spatial lag.</span></p>
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		<title>Addressing Biases in Arctic-Boreal Carbon Cycling in the Community Land Model Version 5</title>
		<link>https://ecoss-nau.org/publication/addressing-biases-in-arctic-boreal-carbon-cycling-in-the-community-land-model-version-5/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Sun, 24 Jan 2021 15:32:22 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6428</guid>

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		<title>Associations between riparian plant morphological guilds and fluvial sediment dynamics along the regulated Colorado River in Grand Canyon</title>
		<link>https://ecoss-nau.org/publication/associations-between-riparian-plant-morphological-guilds-and-fluvial-sediment-dynamics-along-the-regulated-colorado-river-in-grand-canyon/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Tue, 04 Aug 2020 23:39:30 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6080</guid>

					<description><![CDATA[Effects of riparian vegetation on fluvial sediment dynamics depend on morphological traits of the constituent species. Determining the effects of different morphological guilds on sedimentation rates, as influenced by multiple aspects of dam operations, can help identify viable strategies for streamflow and vegetation management to achieve riparian resource goals. Plants of increasing size and branching density or complexity have been found to have greater effects on sedimentation in free-flowing systems; however, this relationship could differ in regulated rivers. We tested the hypothesis that plant guilds of increasing height and branching complexity would be positively associated with sedimentation rates on 23 sandbars deposited in zones of recirculating flow (eddies) along the Colorado River in Grand Canyon. We used an image-based vegetation classification and digital elevation models from annual topographic surveys to track associations between six plant morphological guilds and topographic change over 5?years. Vegetation had significant associations with deposition after accounting for geomorphic setting, but the ordinal guild scale was not positively correlated with deposition magnitude. Instead, low-statured rhizomatous and herbaceous guilds were particularly effective at capturing sediment in the separation zone of sandbars, whereas tall herbs and large shrubs were most effective at capturing sediment in reattachment zones. These nuanced [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><span>Effects of riparian vegetation on fluvial sediment dynamics depend on morphological traits of the constituent species. Determining the effects of different morphological guilds on sedimentation rates, as influenced by multiple aspects of dam operations, can help identify viable strategies for streamflow and vegetation management to achieve riparian resource goals. Plants of increasing size and branching density or complexity have been found to have greater effects on sedimentation in free-flowing systems; however, this relationship could differ in regulated rivers. We tested the hypothesis that plant guilds of increasing height and branching complexity would be positively associated with sedimentation rates on 23 sandbars deposited in zones of recirculating flow (eddies) along the Colorado River in Grand Canyon. We used an image-based vegetation classification and digital elevation models from annual topographic surveys to track associations between six plant morphological guilds and topographic change over 5?years. Vegetation had significant associations with deposition after accounting for geomorphic setting, but the ordinal guild scale was not positively correlated with deposition magnitude. Instead, low-statured rhizomatous and herbaceous guilds were particularly effective at capturing sediment in the separation zone of sandbars, whereas tall herbs and large shrubs were most effective at capturing sediment in reattachment zones. These nuanced interactions between geomorphic position and morphological guild may be a direct consequence of flow regulation through modifications to physical deposition and erosion processes. Flow regulation may also select for a narrow subset of morphological guilds, reducing the diversity of vegetation feedbacks on sedimentation and emphasizing geomorphic drivers.</span></p>
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		<title>Atmosphere-soil Interactions govern ecosystem flux sensitivity to environmental Conditions in semiarid woody ecosystems over varying timescales</title>
		<link>https://ecoss-nau.org/publication/atmosphere-soil-interactions-govern-ecosystem-flux-sensitivity-to-environmental-conditions-in-semiarid-woody-ecosystems-over-varying-timescales/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Tue, 06 Oct 2020 22:20:40 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6235</guid>

					<description><![CDATA[Water and CO2 flux responses (e.g., evapotranspiration [ET] and net ecosystem exchange [NEE]) to environmental conditions can provide insights into how climate change will affect the terrestrial water and carbon budgets, especially in sensitive semiarid ecosystems. Here, we evaluated sensitivity of daily ET and NEE to current and antecedent (past) environment conditions, including atmospheric (vapor pressure deficit [VPD] and air temperature [Tair]) and moisture (precipitation and soil water) drivers. We focused on two common southwestern U.S. (?Southwest?) biomes: pinyon-juniper woodland (Pinus edulis, Juniperus monosperma) and ponderosa pine forest (Pinus ponderosa). Due to differences in aridity, rooting patterns, and plant physiological strategies (stomatal and hydraulic traits), we expected ET and NEE in these ecosystems to respond differently to atmospheric and moisture drivers, with longer response timescales in the drier pinyon-juniper woodland. Net sensitivity to drivers varied temporally in both ecosystems, reflecting the integrated influence of interacting drivers and antecedent precipitation patterns. NEE sensitivity to VPD and soil moisture (and ET sensitivity to deep soil moisture [Sdeep]) was higher in the ponderosa forest. ET and NEE in both ecosystems responded almost instantaneously to Tair, VPD, and shallow soil moisture (Sshall), and increases in any of these drivers weakened the carbon sink and [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><span>Water and CO2 flux responses (e.g., evapotranspiration [ET] and net ecosystem exchange [NEE]) to environmental conditions can provide insights into how climate change will affect the terrestrial water and carbon budgets, especially in sensitive semiarid ecosystems. Here, we evaluated sensitivity of daily ET and NEE to current and antecedent (past) environment conditions, including atmospheric (vapor pressure deficit [VPD] and air temperature [Tair]) and moisture (precipitation and soil water) drivers. We focused on two common southwestern U.S. (?Southwest?) biomes: pinyon-juniper woodland (Pinus edulis, Juniperus monosperma) and ponderosa pine forest (Pinus ponderosa). Due to differences in aridity, rooting patterns, and plant physiological strategies (stomatal and hydraulic traits), we expected ET and NEE in these ecosystems to respond differently to atmospheric and moisture drivers, with longer response timescales in the drier pinyon-juniper woodland. Net sensitivity to drivers varied temporally in both ecosystems, reflecting the integrated influence of interacting drivers and antecedent precipitation patterns. NEE sensitivity to VPD and soil moisture (and ET sensitivity to deep soil moisture [Sdeep]) was higher in the ponderosa forest. ET and NEE in both ecosystems responded almost instantaneously to Tair, VPD, and shallow soil moisture (Sshall), and increases in any of these drivers weakened the carbon sink and enhanced water loss. Conversely, Sdeep and precipitation influenced ET and NEE over longer timescales (days to months, respectively), and higher Sdeep enhanced the carbon sink. As climate changes, these results suggest hotter and drier conditions will weaken the carbon sink and exacerbate water loss from Southwest pinyon-juniper and ponderosa ecosystems.</span></p>
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		<title>Author Correction: Nitrogen and phosphorus constrain the CO2 fertilization of global plant biomass</title>
		<link>https://ecoss-nau.org/publication/author-correction-nitrogen-and-phosphorus-constrain-the-co2-fertilization-of-global-plant-biomass/</link>
		
		<dc:creator><![CDATA[ecos]]></dc:creator>
		<pubDate>Wed, 14 Oct 2020 21:15:03 +0000</pubDate>
				<guid isPermaLink="false">https://ecoss.nau.edu/?post_type=ecoss_publication&#038;p=6245</guid>

					<description><![CDATA[An amendment to this paper has been published and can be accessed via a link at the top of the paper.]]></description>
										<content:encoded><![CDATA[<p><span>An amendment to this paper has been published and can be accessed via a link at the top of the paper.</span></p>
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