Winning and Losing Tree Species of Reassembly in Minnesota’s Mixed and Broadleaf Forests

We examined reassembly of winning and losing tree species, species traits including shade and fire tolerance, and associated disturbance filters and forest ecosystem types due to rapid forest change in the Great Lakes region since 1850. We identified winning and losing species by changes in composition, distribution, and site factors between historical and current surveys in Minnesota’s mixed and broadleaf forests. In the Laurentian Mixed Forest, shade-intolerant aspen replaced shade-intolerant tamarack as the most dominant tree species. Fire-tolerant white pine and jack pine decreased, whereas shade-tolerant ashes, maples, and white cedar increased. In the Eastern Broadleaf Forest, fire-tolerant white oaks and red oaks decreased, while shade-tolerant ashes, American basswood, and maples increased. Tamarack, pines, and oaks have become restricted to sites with either wetter or sandier and drier soils due to increases in aspen and shade-tolerant, fire-sensitive species on mesic sites. The proportion of shade-tolerant species increased in both regions, but selective harvest reduced the applicability of functional groups alone to specify winners and losers. Harvest and existing forestry practices supported aspen dominance in mixed forests, although without aspen forestry and with fire suppression, mixed forests will transition to a greater composition of shade-tolerant species, converging to forests similar to broadleaf forests. A functional group framework provided a perspective of winning and losing species and traits, selective filters, and forest ecosystems that can be generalized to other regions, regardless of species identity.     

Ecological stoichiometry of N:P:Si in China’s grasslands

Aims

Understanding ecological stoichiometry of plant nutrients and its relationship with vegetation succession in terrestrial ecosystems is largely limited to nitrogen (N) and phosphorus (P). Despite it being an important element for most grasses, silicon (Si) is usually ignored. We examined ecological stoichiometry of N:P:Si in grasslands.

Methods

We used leaf N, P and Si concentration, climate variables and phylogenic development, life forms, ecotypes, photosynthetic pathway to determine the relationship of N:P:Si ratio distribution with environmental conditions and the succession of grassland communities.

Results

The distribution of N, P and Si varied greatly among the seven types of China’s grasslands as influenced by environmental conditions (e.g. mean annual temperature – MAT) and plant species groups (e.g. phylogeny). Leaf N showed a significant positive correlation with P across all species, while N and P showed significant negative correlations with Si.

Conclusions

Si was less affected by grassland types than N and P. Environmental conditions such as MAT and MAP had a significant influence on the stoichiometry of N, P and Si in grasslands and that temperature had a greater influence than precipitation. The succession of grassland communities may respond to or be influenced by stoichiometry of N, P and Si.     

Pattern and variation of C:N:P ratios in China’s soils: a synthesis of observational data

Inspired by previous studies that have indicated consistent or even well-constrained (relatively low variability) relations among carbon (C), nitrogen (N) and phosphorus (P) in soils, we have endeavored to explore general soil C:N:P ratios in China on a national scale, as well as the changing patterns of these ratios with soil depth, developmental stages and climate; we also attempted to determine if well-constrained C:N:P stoichiometrical ratios exist in China’s soil. Based on an inventory data set of 2,384 soil profiles, our analysis indicated that the mean C:N, C:P and N:P ratios for the entire soil depth (as deep as 250 cm for some soil profiles) in China were 11.9, 61 and 5.2, respectively, showing a C:N:P ratio of ~60:5:1. C:N ratios showed relatively small variation among different climatic zones, soil orders, soil depth and weathering stages, while C:P and N:P ratios showed a high spatial heterogeneity and large variations in different climatic zones, soil orders, soil depth and weathering stages. No well-constrained C:N:P ratios were found for the entire soil depth in China. However, for the 0–10 cm organic-rich soil, which has the most active organism–environment interaction, we found a well-constrained C:N ratio (14.4, molar ratio) and relatively consistent C:P (136) and N:P (9.3) ratios, with a general C:N:P ratio of 134:9:1. Finally, we suggested that soil C:N, C:P and N:P ratios in organic-rich topsoil could be a good indicator of soil nutrient status during soil development.     

Patterns of above- and belowground biomass allocation in China’s grasslands: Evidence from individual-level observations

Above- and belowground biomass allocation not only influences growth of individual plants, but also influences vegetation structures and functions, and consequently impacts soil carbon input as well as terrestrial ecosystem carbon cycling. However, due to sampling difficulties, a considerable amount of uncertainty remains about the root: shoot ratio (R/S), a key parameter for models of terrestrial ecosystem carbon cycling. We investigated biomass allocation patterns across a broad spatial scale. We collected data on individual plant biomass and systematically sampled along a transect across the temperate grasslands in Inner Mongolia as well as in the alpine grasslands on the Tibetan Plateau. Our results indicated that the median of R/S for herbaceous species was 0.78 in China’s grasslands as a whole. R/S was significantly higher in temperate grasslands than in alpine grasslands (0.84 vs. 0.65). The slope of the allometric relationship between above- and belowground biomass was steeper for temperate grasslands than for alpine. Our results did not support the hypothesis that aboveground biomass scales isometrically with belowground biomass. The R/S in China’s grasslands was not significantly correlated with mean annual temperature (MAT) or mean annual precipitation (MAP). Moreover, comparisons of our results with previous findings indicated a large difference between R/S data from individual plants and communities. This might be mainly caused by the underestimation of R/S at the individual level as a result of an inevitable loss of fine roots and the overestimation of R/S in community-level surveys due to grazing and difficulties in identifying dead roots. Our findings suggest that root biomass in grasslands tended to have been overestimated in previous reports of R/S.     

The Altitudinal Patterns of Leaf C∶N∶P Stoichiometry Are Regulated by Plant Growth Form,Climate and Soil on Changbai Mountain,China

Understanding the geographic patterns and potential drivers of leaf stoichiometry is critical for modelling the nutrient fluxes of ecosystems and to predict the responses of ecosystems to global changes. This study aimed to explore the altitudinal patterns and potential drivers of leaf C∶N∶P stoichiometry. We measured the concentrations of leaf C, N and P in 175 plant species as well as soil nutrient concentrations along an altitudinal transect (500–2300 m) on the northern slope of Changbai Mountain, China to explore the response of leaf C∶N∶P stoichiometry to plant growth form (PGF), climate and soil. Leaf C, N, P and C∶N∶P ratios showed significant altitudinal trends. In general, leaf C and C∶N∶P ratios increased while leaf N and P decreased with elevation. Woody and herbaceous species showed different responses to altitudinal gradients. Trees had the largest variation in leaf C, C∶N and C∶P ratios, while herbs showed the largest variation in leaf N, P and N∶P ratio. PGF, climate and soil jointly regulated leaf stoichiometry, explaining 17.6% to 52.1% of the variation in the six leaf stoichiometric traits. PGF was more important in explaining leaf stoichiometry variation than soil and climate. Our findings will help to elucidate the altitudinal patterns of leaf stoichiometry and to model ecosystem nutrient cycling.     

Focus Issue on Roots: It’s Complicated: Intraroot System Variability of Respiration and Morphological Traits in Four Deciduous Tree Species

Within branched root systems, a distinct heterogeneity of traits exists. Knowledge about the ecophysiology of different root types is critical to understand root system functioning. Classification schemes have to match functional root types as closely as possible to be used for sampling and modeling. Among ecophysiological root traits, respiration is of particular importance, consuming a great amount of carbon allocated. Root architecture differs between the four deciduous tree seedlings. However, two types of terminal root segments (i.e. first and second orders), white colored and brown colored, can be distinguished in all four species but vary in frequency, their morphology differing widely from each other and higher coarse root orders. Root respiration is related to diameter and tissue density. The use of extended root ordering (i.e. order and color) explains the variance of respiration two times as well as root diameter or root order classes alone. White terminal roots respire significantly more than brown ones; both possess respiration rates that are greater than those of higher orders in regard to dry weight and lower in regard to surface area. The correlation of root tissue density to respiration will allow us to use this continuous parameter (or easier to determine dry matter content) to model the respiration within woody root systems without having to determine nitrogen contents. In addition, this study evidenced that extended root orders are better suited than root diameter classes to picture the differences between root functional types. Together with information on root order class frequencies, these data allow us to calculate realistic, species-specific respiration rates of root branches.In response to environmental parameters, whole-root systems exhibit high plasticity at different hierarchical scales, such as physiology, anatomy, morphology, and/or biomass (Deak and Malamy, 2005; Gruber et al., 2011). However, within branched systems of single-root units, a distinct heterogeneity of root traits is also present, especially in but not limited to woody root systems (Rewald et al., 2011). Thus, a key to the understanding of the functioning of root systems is knowledge of the traits of individual root segments, especially those related to water and nutrient uptake as well as carbon invested. Currently, several systems are used to classify roots within a branching root system. It is important that classes, when used as a basis for root sampling, are not arbitrary but matched as closely as possible to functional categories (Pregitzer et al., 1998); thus, classification schemes that are able to represent different types of root segments best have to be identified.The most commonly used classification system in woody plants is based on root diameters (Böhm, 1979), usually distinguishing rather ephemeral fine roots (diameter = 0–2 mm) from woody coarse roots (diameter ≥ 2 mm). Root diameter is one of the most important input parameters for root and rhizosphere modeling (Himmelbauer et al., 2004), likely because of the convenient determination by image analyses programs or during hand sorting. In contrast, two principal ways to number segments are used: centrifugal (i.e. basal to distal) or centripetal (i.e. distal to basal) ordering (Uylings et al., 1975). Today, the centrifugal ordering scheme is most commonly used (Fitter, 1996), especially by researchers describing root system development and root phenology of crop species (Chen et al., 2011; Clark et al., 2013; Leitner et al., 2014), but it has also been applied on tree roots (Pregitzer et al., 1997; Majdi et al., 2001). In contrast, ordering in centripetal systems (Strahler, 1957) is initiated at most distal segments, and order number is increased when two root segments of equal order meet (Pregitzer, 2002). Although the dynamics of centripetal systems are opposite to those of root system development, they group functionally similar terminal (most distal) tree segments, such as root tips, into the same order. In addition to those approaches, several researchers have successfully used individual classification parameters to distinguish root segments according to color (Goldfarb et al., 1990; Bouma et al., 2000) or characteristic branching patterns (e.g. cluster roots; Neumann and Martinoia, 2002). With respect to color, tree roots are predominantly regarded to be white when first produced, turning brown with age (Wells and Eissenstat, 2003).The respiration of CO₂ from fine roots is an important component of the terrestrial carbon cycle. Root respiration (RR) accounts for 25% to 60% of total soil respiration (Pregitzer et al., 1997; Epron et al., 1999; Dannoura et al., 2006a, 2006b) and consumes up to 75% of carbon allocated to roots (Majdi et al., 2007). Predictions on whole-plant carbon budget estimate that total plant respiration is about one-half of gross primary production (Chapin et al., 2012). In temperate forests, belowground net primary production is about 40% of total net primary production. However, large uncertainties remain in quantifying the allocation of carbon to tree root systems in general and the amount of RR of the whole-tree carbon budget in particular. Therefore, factors that describe the metabolic activity of roots and associated microbes are an important component of determining plant carbon budgets and allocation pattern more precisely. Physiologically, fine RR is critical for root maintenance and growth and one important variable determining the uptake efficiency of roots (George et al., 2003) alongside construction costs (Poorter, 1994). Ion transport across membranes may account for 25% to 50% of RR (Lambers et al., 2008). Previous measurements emphasized that fine RR rates can be highly variable (Pregitzer et al., 1998; Makita et al., 2009). This variability is probably partially because of the arbitrary classification of fine roots based on diameter rather than an anatomical or physiological basis (Bouma et al., 2000; Makita et al., 2009). Although positive correlations between fine RR and nitrogen contents have been established, with young roots having greater nitrogen contents, much of the variation in RR rate within a diameter class must be caused by other factors (Pregitzer et al., 1998). In the last decade, evidence increased that root traits often vary according to the position of individual roots segments among the root branching hierarchy (Pagès and Kervella, 1990; Pregitzer et al., 2002; Wang et al., 2006; Guo et al., 2008a, 2008b; Valenzuela-Estrada et al., 2008; Beyer et al., 2013) and that analysis by root order is one powerful approach to understand complex woody root systems under stress (Rewald et al., 2012). Thus, it is surprising that few attempts (Jia et al., 2013) have been made to test if root order-based classification is covering root system heterogeneity in respiration in a meaningful way and morphological parameters on which it may be based.The aim of this study is to describe the relationship between RR of four deciduous European tree species and continuous root morphological traits and root classes. Our hypotheses are that: (1) root architectural and morphological traits of woody tree species can be best described by extended centripetal root order classification and (2) RR is highly reflected by morphological traits. (3) Additionally, if sampling classes are used, extended root order classification has a significantly greater explanatory value than root diameter classes. Furthermore, we evaluate if upscaling of respiration rates per root order class can be used to compare species-specific RR rates—information that is scarce for European tree species.     

Dissecting Variation in Biomass Conversion Factors across China’s Forests: Implications for Biomass and Carbon Accounting

Biomass conversion factors (BCFs, defined as the ratios of tree components (i.e. stem, branch, foliage and root), as well as aboveground and whole biomass of trees to growing stock volume, Mg m⁻³) are considered as important parameters in large-scale forest biomass carbon estimation. To date, knowledge of possible sources of the variation in BCFs is still limited at large scales. Using our compiled forest biomass dataset of China, we presented forest type-specific values of BCFs, and examined the variation in BCFs in relation to forest type, stand development and environmental factors (climate and soil fertility). BCFs exhibited remarkable variation across forest types, and also were significantly related to stand development (especially growing stock volume). BCFs (except Stem BCF) had significant relationships with mean annual temperature (MAT) and mean annual precipitation (MAP) (P<0.001). Climatic data (MAT and MAP) collectively explained 10.0–25.0% of the variation in BCFs (except Stem BCFs). Moreover, stronger climatic effects were found on BCFs for functional components (i.e. branch, foliage and root) than BCFs for combined components (i.e. aboveground section and whole trees). A general trend for BCFs was observed to decrease and then increase from low to high soil fertility. When qualitative soil fertility and climatic data (MAT and MAP) were combined, they explained 14.1–29.7% of the variation in in BCFs (except Stem BCFs), adding only 4.1–4.9% than climatic data used. Therefore, to reduce the uncertainty induced by BCFs in forest carbon estimates, we should apply values of BCFs for a specified forest type, and also consider climatic and edaphic effects, especially climatic effect, in developing predictive models of BCFs (except Stem BCF).     

An Assessment of Contemporary and Historic Nitrogen Availability in Contrasting Coastal Douglas-Fir Forests Through δ15N of Tree Rings

Wood nitrogen isotope composition (δ¹⁵N) provides a potential retrospective evaluation of ecosystem N status but refinement of this index is needed. We calibrated current wood δ¹⁵N of Douglas-fir (Pseudotsuga menziesii), an ectomycorrhizal tree species, against a productivity gradient of contrasting coastal forests of southern Vancouver Island (Canada). We then examined historical δ¹⁵N via increment cores, and tested whether wood δ¹⁵N corresponded with climatic fluctuations. Extractable soil N ranged from 11 to 43 kg N ha^?1 along the productivity gradient, and was characterized by a progressive replacement of N forms (amino acids, NH₄ ⁺ and NO₃ ^?). Current wood δ¹⁵N was significantly less depleted (?5.0 to ?2.6 ‰) with increasing productivity, although linear correlations were stronger with Δδ¹⁵N (the difference between wood and soil δ¹⁵N) to standardize the extent of isotopic fractionation by ectomycorrhizal fungi. An overall decline in wood δ¹⁵N of 0.9 ‰ over the years 1900–2009 was detected, but trends diverged widely among plots, including positive, negative and no trend with time. We did not detect significant correlations in detrended wood δ¹⁵N with mean annual temperature or precipitation. The contemporary patterns in stand productivity, soil N supply and wood δ¹⁵N were moderately strong, but interpreting historical patterns in δ¹⁵N was challenging because of potential variations in N uptake related to stand dynamics. The lack of wood δ¹⁵N correlations with climate may be partly due to methodological limitations, but might also reflect the relative stability in N supply due to the overriding constraints of soil organic matter quantity and quality.     

Differential Responses of N：P Stoichiometry of Leymus chinensis and Carex korshinskyi to N Additions in a Steppe Ecosystem in Nei Mongol

The typical steppe ecosystems in China are now being increasingly degraded due mainly toovergrazing. To determine the limiting nutrients is of significance in order to find out ways of successfullyrestoring the degraded steppe. In addition to field fertilization experiments, N:P stoichiometry is an alternative,but argumentative tool to study nutrient limitation. In this study, we used these two approaches to identifythe most limiting nutrient element at the species level. Furthermore, nutrient addition experimentprovides an effective means to test our hypothesis that N:P stoichiometry will remain constant becauserelatively narrow range of N:P ratio in tissues of the terrestrial plants is an important adaptive mechanismfor plants to survive on earth. For these purposes, we designed a field experiment to examine theresponses of biomass and N:P stoichiometry of the two dominant species -- Leyrnus chinensis (Trin.)Tzvel. and Carex korshinskyiKom. -- to N fertilization at rates of O, 5, 15, 30, 50 and 80 g NH4NO3.m-2.a-~in two adjacent sites, one being excluded animal grazing for 22 years (site A), and another being free ofgrazing for only two years (site B) before the experiment was carried out. No effects of N fertilization weredetected in the first year as reflected by the aboveground biomass and P concentrations of the twospecies. The regression analysis showed that N:P ratios of two species of both sites remained constant inthe second year. N fertilization significantly increased the N concentrations of two species in both years,while only significantly increased the P contents of the two species in the second year. N and P contentsof the two species were significantly correlated in all cases in 2001. Our results suggest that theL. chinensis was in short of N in site B while the growth of C. korshinskyi was limited by P in site A, andthere is a significant synergistic relationship between tissue N and P concentrations in 2001. Our hypothesiswas valid on the species level since N:P ratio of the two species remained constant with increasing Napplication rates after two years of fertilization. We argue that it may be inappropriate to define an ecosystemwhich is limited by certain nutrient elements since the responses of coexisting species present in acommunity to nutrient additions can vary tremendously.     

Famine Foods of Brazil’s Seasonal Dry Forests: Ethnobotanical and Nutritional Aspects

Famine Foods of Brazil’s Seasonal Dry Forests: Ethnobotanical and Nutritional Aspects. Famine foods are used by people in times of food scarcity. Although the northeast of Brazil regularly faces periods of drought that cause a shortage of traditional foods, the use of famine foods is insufficiently recorded. The purpose of this study was to record the knowledge of famine food in two rural Caatinga communities, Carão and Cachoeira, in the states of Pernambuco and Paraiba, respectively, and to determine the chemical composition of the major famine foods utilized. The ethnobotanical aspect was divided into two stages: free lists and semistructured interviews. Based on the interviews, the main famine foods known by communities were selected for nutritional analysis. The study revealed that certain foods are used by communities only in times of shortages. Carão showed a higher species richness than Cachoeira, but the food knowledge was more widespread among the interviewees in Cachoeira. In Carão, the main species mentioned were Dioclea grandiflora and Manihot dichotoma, whereas in Cachoeira, Encholirium spectabile and Pilosocereus gounellei were the major species indicated. The species examined had a high carbohydrate content, especially D. grandiflora, Manihot glaziovii, and M. dichotoma, and could be used for complementary feeding of the population if adverse effects could be minimized. Mandevilla tenuiflora is indicated for future studies of potential agro-industrial applications and the beneficial aspects of its root, which could represent an alternative source of income for the population.     

Spatial Patterns of Prisoner’s Dilemma Game in Metapopulations

Because to defect is the evolutionary stable strategy in the prisoner’s dilemma game (PDG), understanding the mechanism generating and maintaining cooperation in PDG, i.e. the paradox of cooperation, has intrinsic significance for understanding social altruism behaviors. Spatial structure serves as the key to this dilemma. Here, we build the model of spatial PDG under a metapopulation framework: the sub-populations of cooperators and defectors obey the rules in spatial PDG as well as the colonization–extinction process of metapopulations. Using the mean-field approximation and the pair approximation, we obtain the differential equations for the dynamics of occupancy and spatial correlation. Cellular automaton is also built to simulate the spatiotemporal dynamics of the spatial PDG in metapopulations. Join-count statistics are used to measure the spatial correlation as well as the spatial association of the metapopulation. Simulation results show that the distribution is self-organized and that it converges to a static boundary due to the boycotting of cooperators to defectors. Metapopulations can survive even when the colonization rate is lower than the extinction rate due to the compensation of cooperation rewards for extinction debt. With a change of parameters in the model, a metapopulation can consist of pure cooperators, pure defectors, or cooperator–defector coexistence. The necessary condition of cooperation evolution is the local colonization of a metapopulation. The spatial correlation between the cooperators tends to be weaker with the increase in the temptation to defect and the habitat connectivity; yet the spatial correlation between defectors becomes stronger. The relationship between spatial structure and the colonization rate is complicated, especially for cooperators. The metapopulation may undergo a temporary period of prosperity just before the extinction, even while the colonization rate is declining. An erratum to this article can be found at     

Dated Phylogenies of the Sister Genera Macaranga and Mallotus (Euphorbiaceae): Congruence in Historical Biogeographic Patterns?

Molecular phylogenies and estimates of divergence times within the sister genera Macaranga and Mallotus were estimated using Bayesian relaxed clock analyses of two generic data sets, one per genus. Both data sets were based on different molecular markers and largely different samples. Per genus three calibration points were utilised. The basal calibration point (crown node of all taxa used) was taken from literature and used for both taxa. The other three calibrations were based on fossils of which two were used per genus. We compared patterns of dispersal and diversification in Macaranga and Mallotus using ancestral area reconstruction in RASP (S-DIVA option) and contrasted our results with biogeographical and geological records to assess accuracy of inferred age estimates. A check of the fossil calibration point showed that the Japanese fossil, used for dating the divergence of Mallotus, probably had to be attached to a lower node, the stem node of all pioneer species, but even then the divergence time was still younger than the estimated age of the fossil. The African (only used in the Macaranga data set) and New Zealand fossils (used for both genera) seemed reliably placed. Our results are in line with existing geological data and the presence of stepping stones that provided dispersal pathways from Borneo to New Guinea-Australia, from Borneo to mainland Asia and additionally at least once to Africa and Madagascar via land and back to India via Indian Ocean island chains. The two genera show congruence in dispersal patterns, which corroborate divergence time estimates, although the overall mode and tempo of dispersal and diversification differ significantly as shown by distribution patterns of extant species.     

The N’s and O’s of Drosophila glycoprotein glycobiology

The past 25 years have seen significant advances in understanding the diversity and functions of glycoprotein glycans in Drosophila melanogaster. Genetic screens have captured mutations that reveal important biological activities modulated by glycans, including protein folding and trafficking, as well as cell signaling, tissue morphogenesis, fertility, and viability. Many of these glycan functions have parallels in vertebrate development and disease, providing increasing opportunities to dissect pathologic mechanisms using Drosophila genetics. Advances in the sensitivity of structural analytic techniques have allowed the glycan profiles of wild-type and mutant tissues to be assessed, revealing novel glycan structures that may be functionally analogous to vertebrate glycans. This review describes a selected set of recent advances in understanding the functions of N-linked and O-linked (non-glycosaminoglycan) glycoprotein glycans in Drosophila with emphasis on their relatedness to vertebrate organisms.     

School’s Out: Seasonal Variation in the Movement Patterns of School Children

School children are core groups in the transmission of many common infectious diseases, and are likely to play a key role in the spatial dispersal of disease across multiple scales. However, there is currently little detailed information about the spatial movements of this epidemiologically important age group. To address this knowledge gap, we collaborated with eight secondary schools to conduct a survey of movement patterns of school pupils in primary and secondary schools in the United Kingdom. We found evidence of a significant change in behaviour between term time and holidays, with term time weekdays characterised by predominately local movements, and holidays seeing much broader variation in travel patterns. Studies that use mathematical models to examine epidemic transmission and control often use adult commuting data as a proxy for population movements. We show that while these data share some features with the movement patterns reported by school children, there are some crucial differences between the movements of children and adult commuters during both term-time and holidays.     

Phytotaxonomy in the People’s Republic of China

As three of the members of the delegation of the Botanical Society of America, the authors participated in a 28-day tour of the People’s Republic of China in May and June, 1978. Botanical institutes and universities were visited in nine cities. A list of names and addresses of the collaborators and editors of family treatments for theFlora Reipublicae Popularis Sinicae is supplemented with a bibliography of published floras and significant taxonomic literature issued primarily since the end of the Cultural Revolution. A few observations on herbaria and herbarium practices are included.     

Microbial Cycling of C and N in Northern Hardwood Forests Receiving Chronic Atmospheric NO 3 − Deposition

Sugar maple (Acer saccharum Marsh.)-dominated northern hardwood forests in the upper Lakes States region appear to be particularly sensitive to chronic atmospheric NO₃⁻ deposition. Experimental NO₃⁻ deposition (3 g NO₃⁻ N m⁻² y⁻¹) has significantly reduced soil respiration and increased the export of DOC/DON and NO₃⁻ across the region. Here, we evaluate the possibility that diminished microbial activity in mineral soil was responsible for these ecosystem-level responses to NO₃⁻ deposition. To test this alternative, we measured microbial biomass, respiration, and N transformations in the mineral soil of four northern hardwood stands that have received 9 years of experimental NO₃⁻ deposition. Microbial biomass, microbial respiration, and daily rates of gross and net N transformations were not changed by NO₃⁻ deposition. We also observed no effect of NO₃⁻ deposition on annual rates of net N mineralization. However, NO₃⁻ deposition significantly increased (27%) annual net nitrification, a response that resulted from rapid microbial NO₃⁻ assimilation, the subsequent turnover of NH₄⁺, and increased substrate availability for this process. Nonetheless, greater rates of net nitrification were insufficient to produce the 10-fold observed increase in NO₃⁻ export, suggesting that much of the exported NO₃⁻ resulted directly from the NO₃⁻ deposition treatment. Results suggest that declines in soil respiration and increases in DOC/DON export cannot be attributed to NO₃⁻-induced physiological changes in mineral soil microbial activity. Given the lack of response we have observed in mineral soil, our results point to the potential importance of microbial communities in forest floor, including both saprotrophs and mycorrhizae, in mediating ecosystem-level responses to chronic NO₃⁻ deposition in Lake States northern hardwood forests.