Peter M. Vitousek’s research while affiliated with Stanford University and other places

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Publications (360)


Spatio–temporal patterns of global terrestrial N deposition
a Spatial distribution of total N deposition in 2020. b Temporal dynamics of total, NHx, and NOy deposition from 1980 to 2020; the circles are direct observations and their error bars indicate SE (the variation among the monitoring sites); the triangles are estimated from random forest models and their error bars indicate SE (variations across three random forest models). Different colors represent different N deposition components. c Temporal dynamics of ratio of NHx to NOy deposition from 1980 to 2020. d Cumulative N deposition input from 1980 to 2020. Note: The Antarctic is not included. Source data are provided as a Source Data file.
Regional dynamics of atmospheric N deposition from 1980 to 2020
a Dynamics in North America. b Dynamics in Western Europe. c Dynamics in Korea and Japan. d Dynamics in China. e Dynamics in Russia. f Dynamics in Western Asia. g Dynamics in South Asia. h Dynamics in Southeast Asia. i Dynamics in South America. The circles are direct observations and their error bars indicate SE (the variation among the monitoring sites). The triangles are results from the random forest models and their error bars indicate SE (variations across three random forest models). Different colors represent different N deposition components. The trend of N deposition is fitted using linear or binomial functions. R² is the coefficient of determination, ** represents the significance level at P = 0.01, and * represents the significance level at P = 0.05. The bar chart at the bottom of each plot shows the dynamics of the ratio of NHx to NOy deposition in the region. Source data are provided as a Source Data file.
Trends in N deposition in developed and developing countries from 2008 to 2020
a Trend analysis of total N deposition from 2008 to 2020. b Temporal dynamics and ratios of total N deposition in developed and developing countries (Mean ± SE). c Temporal dynamics of NHx and NOy deposition in developed and developing countries (Mean ± SE). The trend of N deposition is fitted using linear or binomial functions. R² is the coefficient of determination, ** and * represents the significance level at P = 0.01 and P = 0.05, respectively, and SE (error bar in figure) indicated the variation across the three random forest models. Source data are provided as a Source Data file.
Relationships between N deposition and gross domestic product per capita on a global scale
Relationships between total N (a, d), NHx (b, e) and NOy (c, f) deposition and gross domestic product per capita (GDPpc). The data used in a–c are observations of N deposition and GDPpc; those in d–f are the logarithmic values of N deposition and of GDPpc. African countries are Niger, Mali, Cameroon and Cote d’Ivoire. Southeast Asian countries are Vietnam, Malaysia, Indonesia and Thailand. East Asian countries are China, South Korea and Japan. Western European countries are EU countries (EU27). North American countries are the United States and Canada. R² is the coefficient of determination, ** represents the significance level at P = 0.01. Source data are provided as a Source Data file.
Changing patterns of global nitrogen deposition driven by socio-economic development
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January 2025

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1 Citation

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Peter Vitousek

Advances in manufacturing and trade have reshaped global nitrogen deposition patterns, yet their dynamics and drivers remain unclear. Here, we compile a comprehensive global nitrogen deposition database spanning 1977–2021, aggregating 52,671 site-years of data from observation networks and published articles. This database show that global nitrogen deposition to land is 92.7 Tg N in 2020. Total nitrogen deposition increases initially, stabilizing after peaking in 2015. Developing countries at low and middle latitudes emerge as new hotspots. The gross domestic product per capita is found to be highly and non-linearly correlated with global nitrogen deposition dynamic evolution, and reduced nitrogen deposition peaks higher and earlier than oxidized nitrogen deposition. Our findings underscore the need for policies that align agricultural and industrial progress to facilitate the peak shift or reduction of nitrogen deposition in developing countries and to strengthen measures to address NH3 emission hotspots in developed countries.

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A Grass litter manganese (Mn) concentrations in initial and 5-month decomposed litter. Litter 1 (L1), litter 2 (L2), and litter 3 (L3) reflect litter collected from sites 1, 2, and 3. Hollow columns symbolize initial (freshly senesced) litter Mn concentrations; gray columns symbolize litter decomposition in site 1; and black columns symbolize decomposition in site 2. No Mn data are shown for 12-month decompositions or for site 3 5-month decompositions due to insufficient decomposed litter from these groups. B Particle density analyses of micro-X-ray absorption spectroscopy (µXAS) images (Figure S4). Columns indicate the relative percentages of Mn oxidation states found on the litter surfaces. White columns symbolize the percentage of Mn²⁺, gray columns Mn³⁺, and black columns Mn⁴⁺. Initial (freshly senesced) grass litter is designated by i. S1, S2, and S3 designate litter decomposed for 12 months in sites 1, 2, and 3. C Percent mass loss of litter over 5-month decomposition experiment; D percent mass loss of litter over 12-month decomposition experiment. L1, L2, and L3 show litter collected from sites 1, 2, and 3; S1, S2, and S3 designate litter decomposed in sites 1, 2, and 3. Letters above columns define statistically significant differences among litter types at p ≤ 0.05, n = 2–5. Error bars indicate standard error of the mean (SEM)
A Variation in percent mass loss of litter at 5 months versus litter Mn concentration, B at 12 months versus litter Mn concentration, C at 5 months versus soil Mn concentration, D at 12 months versus soil Mn concentration, E at 5 months versus mean annual precipitation (MAP), and F at 12 months versus MAP. Dotted lines show linear trendlines for each plot; the equation and coefficient of determination (R²) for each line is shown in the top right corner of each plot
Micro-X-ray absorption spectroscopy (µXAS) analyses of litter types (A–D) and aggregate litter per condition (E, F); source µXAS images are shown in Figure S6. Element concentrations are measured as photon counts per image pixel, or the signal intensity of the target oxidation state of manganese (Mn) in the X-ray images’ regions of interest. A White boxes and circles represent Mn²⁺ percentages, B gray boxes and circles Mn³⁺, and C black boxes and circles Mn⁴⁺. C1, C2, and C3 are the control litter groups, and MnT1, MnT2, and MnT3 are the Mn-treatment litter groups; numbers (1, 2, and 3) indicate the respective litter-collection site. D, F White columns represent Mn²⁺ percentages, gray columns Mn³⁺, and black Mn⁴⁺. E Hollow boxes and circles represent litter in the control condition, and gray boxes and circles show litter under Mn treatment. In A–C and E, the middle line in each box represents the median, the bottom and top lines represent 1st and 3rd quartiles, the x represents the mean, and the whiskers extend to the minimum and maximum values; outliers are shown as circles. In D and F error bars indicate standard error of the mean (SEM). Asterisks define significant differences A–D among litter types or E, F between treatments at p ≤ 0.05; brackets show paired comparisons
Percent mass loss in litter incubated for 10 months. Litter 1 (L1), litter 2 (L2), and litter 3 (L3) reflect litter collected from sites 1, 2, and 3. Hollow columns and black-filled columns represent control and manganese (Mn) treatment litter, collected from sites 1 (the driest), 2, and 3 (the wettest). Hollow boxes and black-filled boxes represent aggregated control and Mn-treatment litter, respectively. Control and Mn-treatment litter are compared by A litter type (collection site) and by B aggregated condition. No significant differences were found A among litter type or B between condition (p ≤ 0.05, n = 3 per litter type, n = 9 per condition). Error bars indicate standard error of the mean (SEM). Boxplots show means (X) and inclusive quartiles
Does manganese influence grass litter decomposition on a Hawaiian rainfall gradient?

December 2024

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17 Reads

Oecologia

Plant litter is a well-defined pool of organic matter (OM) in which the influence of manganese (Mn) on decomposition (both decomposition rate and the mix of compounds ultimately transferred to soil OM) has been clearly demonstrated in temperate forests. However, no similar study exists on grasslands and the effect of foliar Mn versus soil-derived Mn on litter decomposition is poorly known. We used a 5-month and 12-month field, and 10-month laboratory experiments to evaluate litter decomposition on the Kohala rainfall gradient (Island of Hawai‘i) in areas with different foliar and soil Mn abundances, and on which a single plant species (Pennisetum clandestinum) dominates primary production and the litter pool. The chemical imaging analyses of decomposed litter revealed that Mn²⁺ oxidized to Mn³⁺ and Mn⁴⁺ on grass litter during decompositions—hallmarks of Mn-driven litter oxidation. However, these transformations and Mn abundance did not predict greater litter mass loss through decomposition. These observations demonstrate that the importance of Mn to an ecosystem’s C cycle does not rely solely on the metal’s abundance and availability.


Has nitrogen availability decreased over much of the land surface in the past century? A model-based analysis

May 2024

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78 Reads

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6 Citations

Biogeochemistry

A recent publication (Mason et al. in Science 376:261, 2022a) suggested that nitrogen (N) availability has declined as a consequence of multiple ongoing components of anthropogenic global change. This suggestion is controversial, because human alteration of the global N cycle is substantial and has driven much-increased fixation of N globally. We used a simple model that has been validated across a climate gradient in Hawai ‘i to test the possibility of a widespread decline in N availability, the evidence supporting it, and the possible mechanisms underlying it. This analysis showed that a decrease in δ¹⁵N is not sufficient evidence for a decline in N availability, because δ¹⁵N in ecosystems reflects both the isotope ratios in inputs of N to the ecosystem AND fractionation of N isotopes as N cycles, with enrichment of the residual N in the ecosystem caused by greater losses of N by the fractionating pathways that are more important in N-rich sites. However, there is other evidence for declining N availability that is independent of ¹⁵N and that suggests a widespread decline in N availability. We evaluated whether and how components of anthropogenic global change could cause declining N availability. Earlier work had demonstrated that both increases in the variability of precipitation due to climate change and ecosystem-level disturbance could drive uncontrollable losses of N that reduce N availability and could cause persistent N limitation at equilibrium. Here we modelled climate-change-driven increases in temperature and increasing atmospheric concentrations of CO2. We show that increasing atmospheric CO2 concentrations can drive non-equilibrium decreases in N availability and cause the development of N limitation, while the effects of increased temperature appear to be relatively small and short-lived. These environmental changes may cause reductions in N availability over the vast areas of Earth that are not affected by high rates of atmospheric deposition and/or N enrichment associated with urban and agricultural land use.



FIGURE 1. The study site on Kohala, Hawai'i Island. Thin dark lines are elevation contours, white lines are mean annual rainfall isohyets (Giambelluca et al. 2013), and black dots demark the approximate maximal extent of the LKFS (Ladefoged et al. 2011). The dark gray shading shows ~150,000 year-old Hawī lava flows, and lighter shading shows ~400,000 year-old Polol u volcanics (Sherrod et al. 2007).
FIGURE 2. Precipitation collectors and 'uala plots along the transect in October 2018.
FIGURE 3. Yield and microclimate patterns across the transect: (A) 'uala tuber yield per m 2 , (B) mean proportion of illuminance measured relative to an unobstructed sensor over 24 hours, (C) mean 30 cm horizontal wind speed over 3 minutes, (D) percent soil moisture by mass, with error bars representing standard errors from six 10 cm samples taken per point, and (E) precipitation rate. Panel (F) shows a cross-sectional view of the transect's k o rows and 'uala plots.
FIGURE 4. Precipitation patterns around a generalized k o row: (A) interactions between a k o row and wind-blown rain, (B) precipitation rates averaged across all measurement periods, and (C-E) precipitation rates averaged across dry, moderate, and wet periods and plotted separately for different wind strengths. The horizontal axis represents distance relative to the windward edge of a k o row. All vertical scales are the same.
Microclimatic Effects of Kō (Sugarcane, Saccharum officinarum) Row Planting in the Leeward Kohala Field System, Hawai‘i Island

February 2024

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45 Reads

Pacific Science

The Leeward Kohala Field System (LKFS) on Hawai‘i Island once featured over 60 km2 of productive, rain-fed croplands. For several centuries, its occupants cultivated ‘uala (Ipomoea batatas, sweet potato) as a staple crop between kuaiwi (earthen or rock walls) planted with ko (Saccharum officinarum, sugarcane).These raised ko rows could have influenced ‘uala growth through an array of microclimatic processes, including wind abatement, shading, and the redistribution of moisture. While such effects are frequently mentioned in the literature, efforts to directly quantify them and relate them to ‘uala production have been lacking. We measured wind speeds, precipitation rates, solar illuminance, soil moisture, and ‘uala yields along a transect through three ko rows within the LKFS. Ko rows proved effective windbreaks, reducing near-surface wind speeds by up to 90% and for distances of up to 10 m. The rows also concentrated wind-blown moisture at their upwind edges while creating rain shadows 5–6 m in length. ‘Uala yields peaked at 3.8–6.0 kg m–2 near the center of inter-row space, probably because ‘uala were energy-limited during the wet study period and grew slowly when shaded by the ko. A zone of low turbulence leeward of each ko row also appeared to benefit ‘uala growth. Additional measurements are needed to investigate the landscape-level hydrologic effects of ko row planting. Our findings will help guide ongoing efforts to expand agricultural and educational activities in the LKFS.


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Does Manganese Influence Grass Litter Decomposition on a Hawaiian Rainfall Gradient?

October 2023

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47 Reads

Plant litter is a well-defined pool of organic matter in which the influence of Mn on decomposition (both decomposition rate, and the mix of compounds ultimately transferred to soil organic matter) has been clearly demonstrated in temperate forests. However, no similar study exists on grasslands, and the effect of foliar Mn versus soil-derived Mn on litter decomposition is poorly known. We used 5-month and 12-month field and 10-month laboratory experiments to evaluate organic-matter decomposition on the Kohala rainfall gradient in areas with different foliar and soil Mn abundances, and on which a single plant species dominates primary production and the litter pool. Chemical imaging analyses of decomposed litter revealed that Mn2+ oxidized to Mn3+ and Mn4+ on grass litter during decompositions—hallmarks of Mn-driven OM oxidation. However, these transformations and Mn abundance did not predict greater litter mass loss through decomposition. These observations demonstrate that the importance of Mn to an ecosystem’s C cycle does not rely solely on the metal’s abundance and availability.


Carbon (a), nitrogen (b), and phosphorus (c) released from litterfall across the four experimental community treatments (SLOW RED, MOD RED, SLOW COMP, and MOD COMP). Values are back‐transformed means ± 95% CIs. Letters indicate significant difference resulting from ANOVA followed by Tukey's comparisons test. MOD COMP, moderate carbon turnover complementary; MOD RED, moderate carbon turnover redundant; SLOW COMP, slow carbon turnover complementary; SLOW RED, slow carbon turnover redundant.
Carbon (a), nitrogen (b), and phosphorus (c) released from litterfall across the four experimental community treatments (SLOW RED, MOD RED, SLOW COMP, and MOD COMP) and separated between introduced (white bars) and native (gray bars) outplants. Values are means ± SE. Letters indicate significant difference across treatments resulting from a two‐way ANOVA followed by Tukey's comparisons test of least‐square means. MOD COMP, moderate carbon turnover complementary; MOD RED, moderate carbon turnover redundant; SLOW COMP, slow carbon turnover complementary; SLOW RED, slow carbon turnover redundant.
Linear regressions of (1) plant growth (outplant basal area) in response to carbon (a), nitrogen (b), and phosphorus (c) released from litterfall, and (2) invasion metrics (weed species [d]; weeding hours [e]) in response to plant growth (outplant basal area). Three years of data are presented with treatments represented by separate regression lines and adjusted R² values provided. MOD COMP, moderate carbon turnover complementary; MOD RED, moderate carbon turnover redundant; SLOW COMP, slow carbon turnover complementary; SLOW RED, slow carbon turnover redundant.
Functional trait‐based restoration alters nutrient cycling and invasion rates in Hawaiian lowland wet forest

July 2023

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107 Reads

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3 Citations

Many degraded ecosystems have altered nutrient dynamics due to invaders’ possessing a suite of traits that allow them to both outcompete native species and alter the environment. In ecosystems where invasive species have increased nutrient turnover rates, it can be difficult to reduce nutrient availability. This study examined whether a functional trait‐based restoration approach involving the planting of species with conservative nutrient‐use traits could slow rates of nutrient cycling and consequently reduce rates of invasion. We examined a functional trait restoration initiative in a heavily invaded lowland wet forest site in Hilo, Hawaiʻi. Native and introduced species were chosen to create four experimental hybrid forest communities, in comparison to the invaded forest, with a factorial design in which communities varied in rates of carbon turnover (slow or moderate [SLOW, MOD]), and in the relationship of species in trait space (redundant or complementary [RED, COMP]). After the first 5 years, we evaluated community‐level outcomes related to nutrient cycling: carbon (C), nitrogen (N), and phosphorus (P) via litterfall, litter decomposition, and outplant productivity and rates of invasion. We found that (1) regardless of treatment, the experimental communities had low rates of nutrient cycling through litterfall relative to the invaded reference forest, (2) the MOD communities had greater nutrient release via litterfall than the SLOW communities, (3) introduced species had greater nutrient release than native species in the two MOD experimental communities, and (4) within treatments, there was a positive relationship between nutrient levels and outplant basal area, but outplant basal area was negatively associated with rates of invasion. The negative relationships among basal area and weed invasion, particularly for the two COMP treatments, suggest species existing in different parts of trait space may help confer some degree of invasion resistance. The diversification of trait space was facilitated by the use of introduced species, a new concept in Hawaiian forest management. Although challenges remain in endeavors to restore this heavily degraded ecosystem, this study provides evidence that functional trait‐based restoration approaches using carefully crafted hybrid communities can reduce rates of nutrient cycling and invasion in order to reach management goals.


Fig. 3. Impact of overused N fertilizer on oceanic NH x deposition. (A) Spatial distribution of oceanic NH x deposition induced by food production. (B) Contribution (%) of food production to oceanic NH x deposition. (C) Spatial distribution of NH 3 emissions by overused N fertilizer calculated from 16 major crops, as shown in SI Appendix, Fig. S13. (D) Contribution (%) of overused N fertilizer to agricultural NH 3 emissions. (E) Absolute difference in oceanic NH x deposition caused by overused N fertilizer. (F) Changes (%) in oceanic NH x deposition caused by overused N fertilizer.
Modeling global oceanic nitrogen deposition from food systems and its mitigation potential by reducing overuse of fertilizers

April 2023

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712 Reads

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27 Citations

Proceedings of the National Academy of Sciences

Growing population and consumption pose unprecedented demands on food production. However, ammonia emissions mainly from food systems increase oceanic nitrogen deposition contributing to eutrophication. Here, we developed a long-term oceanic nitrogen deposition dataset (1970 to 2018) with updated ammonia emissions from food systems, evaluated the impact of ammonia emissions on oceanic nitrogen deposition patterns, and discussed the potential impact of nitrogen fertilizer overuse. Based on the chemical transport modeling approach, oceanic ammonia-related nitrogen deposition increased by 89% globally between 1970 and 2018, and now, it exceeds oxidized nitrogen deposition by over 20% in coastal regions including China Sea, India Coastal, and Northeastern Atlantic Shelves. Approximately 38% of agricultural nitrogen fertilizer was excessive, which corresponds to 15% of global oceanic ammonia-related nitrogen deposition. Policymakers and water quality managers need to pay increasingly more attention to ammonia associated with food production if the goal of reducing coastal nitrogen pollution is to be achieved for Sustainable Development Goals.



Manganese Oxidation States in Volcanic Soils across Annual Rainfall Gradients

December 2022

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289 Reads

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13 Citations

Environmental Science and Technology

Manganese (Mn) exists as Mn(II), Mn(III), or Mn(IV) in soils, and the Mn oxidation state controls the roles of Mn in numerous environmental processes. However, the variations of Mn oxidation states with climate remain unknown. We determined the Mn oxidation states in highly weathered bulk volcanic soils (primary minerals free) across two rainfall gradients covering mean annual precipitation (MAP) of 0.25-5 m in the Hawaiian Islands. With increasing MAP, the soil redox conditions generally shifted from oxic to suboxic and to anoxic despite fluctuating at each site; concurrently, the proportions of Mn(IV) and Mn(II) decreased and increased, respectively. Mn(III) was low at both low and high MAP, but accumulated substantially, up to 80% of total Mn, in soils with prevalent suboxic conditions at intermediate MAP. Mn(III) was likely hosted in Mn(III,IV) and iron(III) oxides or complexed with organic matter, and its distribution among these hosts varied with soil redox potentials and soil pH. Soil redox conditions and rainfall-driven leaching jointly controlled exchangeable Mn(II) in soils, with its concentration peaking at intermediate MAP. The Mn redox chemistry was at disequilibrium, with the oxidation states correlating with long-term average soil redox potentials better than with soil pH. The soil redox conditions likely fluctuated between oxic and anoxic conditions more frequently at intermediate than at low and high MAP, creating biogeochemical hot spots where Mn, Fe, and other redox-sensitive elements may be actively cycled.


Citations (79)


... Nitrogen (N) deposition in China has declined in recent years [1], yet the country remains an area with high N deposition due to significantly increased reactive N production and emissions in the last century [2]. Moderate atmospheric N deposition has been shown to enhance N utilization in plants, promoting growth and increasing biomass [3]. ...

Reference:

Effect of Short-Term Nitrogen Addition on N and P Stoichiometry of Herbaceous Leaves and Roots in the Understory of Larix principis-rupprechtii Plantation in Northern China
Changing patterns of global nitrogen deposition driven by socio-economic development

... First, the rate of nitrogen deposition over China significantly declined from 2010 to 2020, especially in subtropical regions, reducing exogenous reactive nitrogen inputs into soils [59]. Second, global climate change, such as the increasing atmospheric carbon dioxide concentration, may reduce the soil available N supply to microbes and plants in terrestrial ecosystems [60,61]. Third, subtropical forests with high net primary productivity usually have a great demand for N [62]. ...

Has nitrogen availability decreased over much of the land surface in the past century? A model-based analysis

Biogeochemistry

... The field sites' approximate locations are shown in Fig. S1. In all three sites, a single species of kikuyu grass (Pennisetum clandestinum) dominates primary production and (consequently) the litter pool; soil nutrients are relatively abundant here (Chadwick et al. 2007;Vitousek and Chadwick 2013), Basidiomycota DNA (the fungal group that includes ligninolytic white rot fungi) have been identified (Peay et al. 2017) and Mn peroxidase activity has been detected on this gradient (Paulus and Vitousek 2024). Each site also possesses distinct concentrations of Mn in its soil and in kikuyu grass (Table 1, Fig. S2): of these three sites, the driest site has the greatest soil and lowest grass Mn concentrations, the middle MAP site has moderate soil and the greatest grass Mn concentrations, and the wettest site has the lowest soil and moderate plant Mn concentrations. ...

Manganese and soil organic carbon stability on a Hawaiian grassland rainfall gradient
  • Citing Article
  • March 2024

Soil Biology and Biochemistry

... A formal prohibition on manure discharge into surface waters has been in effect since 2014, so there was very small manure discharge in all the interviewed farms. Ammonia volatilization was the largest pathway of N losses for all farms, which has consistently been recognized as the key air pollutant contributing to the acidification of ecosystems, increased oceanic N deposition contributing to eutrophication (Smith and Schindler, 2009;Xu et al., 2016;Liu et al., 2023). Almost all the interviewed farms stored the manure without cover, and manure treatment was mainly composting or storing in oxidation ponds, resulting in high NH 3 emissions. ...

Modeling global oceanic nitrogen deposition from food systems and its mitigation potential by reducing overuse of fertilizers

Proceedings of the National Academy of Sciences

... Mn(III), mainly generated through comproportionation reaction between Mn(IV) and Mn(II), 10 can locate on surfaces or in the bulk of MnO 2−x and occur as Mn(III) oxyhydroxides and Mn 3 O 4 or a substituent in other minerals. 11 Mn(III) can also be complexed by various ligands to form soluble Mn(III)-ligand complexes that have been found in various natural (seawater, estuarine, soil, and sediments) and engineered (water treatment works) systems, with concentrations up to several hundred μM. 12−18 Being capable of accepting and/or donating electrons, MnO 2−x and dissolved Mn(III) complexes can significantly influence the surrounding redox chemistry and have high reactivity toward various redoxsensitive metals and organic pollutants. ...

Manganese Oxidation States in Volcanic Soils across Annual Rainfall Gradients
  • Citing Article
  • December 2022

Environmental Science and Technology

... Terrestrial water storage is composed of five parts: soil water, surface water, ice and snow water, groundwater, and canopy water. Soil water content directly affects the weathering of soil minerals and the leaching of vegetation nutrients from soil [20] and indirectly affects the change in canopy water storage of vegetation communities [21]. Seasonal ice and snow water have made an important contribution to alleviating regional water shortages and restoring ecosystems [22]. ...

Water balance affects foliar and soil nutrients differently

Oecologia

... This excessive practice results in high nitrate leaching [4] and gaseous N losses from soils, partially in the form of nitrous oxide (N2O), a greenhouse gas [5], and denitrified dinitrogen (N2) [6][7]. These N losses are crucial in determining N availability for plants and microbes [8][9]. Measuring gaseous N losses from soils is challenging due to the high background concentration of atmospheric N2 [10][11]. ...

A “toy model” analysis of causes of nitrogen limitation in terrestrial ecosystems

Biogeochemistry

... Soil microbial activities and agricultural management practices, notably fertilizer use, release various gases from soil into the atmosphere, which adversely affect human health, climate, and ecosystems [12][13][14] . Previous studies on soil nitrogen (N) emissions mainly focused on nitrous oxide (N 2 O), nitric oxide (NO), and ammonia (NH 3 ) emissions [15][16][17] . In recent years, a growing number of studies have demonstrated that soil emissions of HONO contribute 17-80% of atmospheric HONO mixing ratios, with significant impacts on secondary air pollutants such as particulate nitrate and atmospheric O 3 [18][19][20][21][22][23][24] . ...

Exploring global changes in agricultural ammonia emissions and their contribution to nitrogen deposition since 1980

Proceedings of the National Academy of Sciences

... Soil acidification and its altered nutrient efficiency are key drivers of changes in the composition, structure, and diversity of soil microbial communities, leading to a decline in ecological functions in acidic soils [40]. Long-term high inputs of chemical nitrogen fertilizers are not only the main cause of acidification of agricultural soils, but also significantly alter the composition and structure of soil microbial communities, which in turn negatively affects soil microbial functions and soil health [41]. Regulations that focus on enhancing soil microbial function, such as those that improve nitrogen fixation, can reduce the need for nitrogen fertilizer application and thus mitigate soil acidification. ...

Environmental filtering controls soil biodiversity in wet tropical ecosystems

Soil Biology and Biochemistry

... BNF results in N stable isotope values (δ 15 N) that are more similar to the atmosphere (~0‰) relative to N assimilated from soil N pools (Craine et al., 2015). Soil δ 15 N values represent an integration of N inputs and outputs in an ecosystem, and are influenced by processes that lead to isotope fractionation (i.e., nitrification, denitrification, ammonia volatilization), atmospheric deposition, leaching, as well as the pedogenic and environmental factors that shape these processes (Natelhoffer & Fry, 1988;Austin & Vitousek, 1998;Martinelli et al., 1999;Burnett et al., 2022). Variability in soil δ 15 N can complicate the interpretation of leaf δ 15 N values, especially for non-N 2 -fixing plants (Robinson, 2001). ...

Foliar ẟ15N patterns in legumes and non-N fixers across a climate gradient, Hawai'i Island, USA

Oecologia