Climate and vegetation as primary drivers for global mercury storage

Climate and vegetation as primary drivers for global mercury storage in surface soil. 2. 3. Xun Wang†, Wei Yuan†,‡, Che-Jen Lin ⊥,§, Leiming ...
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Environmental Processes

Climate and vegetation as primary drivers for global mercury storage in surface soil Xun Wang, Wei Yuan, Che-Jen Lin, Leiming Zhang, Hui Zhang, and Xinbin Feng Environ. Sci. Technol., Just Accepted Manuscript • DOI: 10.1021/acs.est.9b02386 • Publication Date (Web): 21 Aug 2019 Downloaded from pubs.acs.org on August 24, 2019

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Climate and vegetation as primary drivers for global mercury storage in surface soil Xun Wang†, Wei Yuan†,‡, Che-Jen Lin ⊥,§, Leiming Zhang∥, Hui Zhang†,Xinbin Feng†, #*, †State

Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang, China. ‡University

of Chinese Academy of Sciences, Beijing, China. for Advances in Water and Air Quality, Lamar University, Beaumont, TX, USA §Department of Civil and Environmental Engineering, Lamar University, Beaumont, TX, USA ∥Air Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, ON, Canada #Center for Excellence in Quaternary Science and Global Change, Chinese Academy of Sciences, Xian 710061, China ⊥Center

15 16 17

*To

whom correspondence should be addressed. Email: [email protected]

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Abstract: Soil is the largest Hg reservoir globally. Data of Hg concentration in surface soil are

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fundamental to understanding environmental Hg cycling. However, present knowledge on the

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quantity and global distribution of Hg in soil remains deficient. Using stable Hg isotopic

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analyses and geospatial data, the concentration and global spatial distribution of Hg in surface

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soil of 0-20 cm depth have been developed. It is estimated that 1088±379 Gg of Hg is stored in

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surface soil globally. Thirty-two percent of the surface Hg storage resides in

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tropical/subtropical forest regions, 23% in temperate/boreal forest regions, 28% in grassland

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and steppe and shrubland, 7% in tundra, and 10% in desert and xeric shrubland. Evidence from

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Hg isotopic signatures points to atmospheric Hg0 dry deposition through vegetation uptake as

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the primary source of Hg in surface soil. Given the influence of changing climate on vegetative

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development, global climate change can act as an important forcing factor for shaping spatial

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distribution of Hg in surface soil. This active forcing cycle significantly dilutes the impacts

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caused by Hg release from anthropogenic sources, and needs to be considered in assessing the

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effectiveness of reducing Hg use and emissions as specified in Minamata Convention on

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Mercury.

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1. Introduction

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The ratification of Minamata Convention on Mercury (Hg) in 2017 is widely considered

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a success to protect human health and the environment from the detrimental effects of Hg1.

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However, existing Hg data and scientific knowledge are insufficient to adequately assess the

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policy benefits in reducing human and wildlife Hg exposure 2.To date, the spatial distribution

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of Hg concentration in soils across the globe remains largely uncertain

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reported 235-1150 Gg of Hg storage in surface soil across the globe

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critical for a complete understanding of the Hg cycling. Uncertainties in soil Hg data limit our

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ability to quantify legacy Hg emission from soil to the atmosphere 2, estimating Hg runoff from

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uplands to the aquatic environment 9, and assessing potential risks of human and wildlife Hg

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exposure globally10.

3, 4.

3, 5-8.

Earlier studies

Such a dataset is

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The concentration and distribution of soil Hg are best estimated with representative soil

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samples collected in a global observational network, but such an approach is not feasible

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because of the limitation of access and cost to perform such a global study. Statistic regression

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modeling (e.g., Multiple Linear Regression) using the large geological database provides

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another alternative for reliably constructing global concentration and distribution of Hg in soil.

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Using available data of Hg concentration and distribution in China and US 11-13, coupled with

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global organic carbon, meteorological factors, and anthropogenic Hg emissions datasets, it is

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possible to gain insight on the contributing sources and accumulation pathways of Hg in soil at

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a global scale.

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The sources of Hg in natural surface soils are from atmospheric deposition of elemental

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Hg (Hg0) (i.e., atmospheric Hg0 uptake by vegetation and input to soil with plant detritus) and

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oxidized Hg (Hg2+)9,

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accumulation from contaminated waters is likely an important source in areas that have

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received air emission or water discharge of Hg from human activities

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localized near anthropogenic sources. Since direct or standardized quantification methods for

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measuring Hg dry deposition is not available, Hg dry deposition is often estimated by models,

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or by surrogate measurements such as measuring Hg deposition through litterfall or on artificial

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surfaces

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terrestrial and aquatic ecosystems. Networks of Hg wet deposition measurement have been

15.

14, 15,

and from weathering of Hg from rocks9,

14, 16.

4, 17,

Runoff-related

which is largely

Mercury wet deposition has been the primary focus in quantifying Hg input to

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established globally, such as Global Mercury Observation System (GMOS)

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Atmospheric Deposition Program’s (NADP) Mercury Deposition Network (MDN) sites in

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North America

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deposition to the terrestrial ecosystem. Specifically, atmospheric Hg0 uptake by vegetation is

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responsible for substantial Hg accumulation in forest ecosystems

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observed seasonal variation of atmospheric Hg concentrations23, 24. Climate is the main driver

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for vegetation distribution globally 25-28.The atmospheric Hg0 dry deposition through vegetation

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uptake whose spatial distribution is driven by vegetative development

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changing climate. Therefore, global climate change is an important forcing factor for shaping

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spatial distribution of Hg in surface soil. Time profiles of Hg deposition reconstructed from

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lake sediments and peat bogs have demonstrated that the changes of climate and vegetation

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coverage as well as the related forest fire paleo-history are the main drivers for the natural

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changes in Hg deposition flux and subsequent concentrations in terrestrial ecosystems 31-33.

15.

18

and National

However, recent studies have highlighted the importance of Hg dry

14, 19-22,

as well as for the

29, 30closely

tied to the

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Recent advancement of stable Hg isotope techniques enables delineation of the origins

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and accumulations processes of Hg in surface soil. Mercury undergoes both mass dependent

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fractionation (MDF, reported as δ202Hg) and mass independent fractionation (MIF, reported as

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Δ199Hg, Δ200Hg and Δ201Hg) in the environment 16. The MIF signatures of Hg isotopes are much

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less likely to be altered by post-depositional processes than MDF is in the environment, making

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the MIF signatures of Hg useful tracers to identify different sources 14, 16, 34. Atmospheric Hg2+

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is characterized by positive Δ199Hg, Δ200Hg and Δ201Hg values while Hg0 in the atmosphere

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shows negative values of Δ199Hg and Δ201Hg with negligible Δ200Hg14, 16, 34. Geological Hg pool

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exhibits zero Δ199Hg, Δ200Hg and Δ201Hg14, 16, 34.

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We hypothesize that the active processes driven by climate and vegetative development

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influence soil Hg spatial distribution at continental and global scales. This study focuses on

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atmospheric Hg0 deposition forced by climate and vegetative development, as well as its effect

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on soil Hg spatial distribution at a global scale. Comprehensive data of Hg isotopic signatures

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measured in global terrestrial ecosystems are analyzed, coupled with structural equation

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modeling using geospatial datasets collected in China and the US, to verify the hypothesis.

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Based on the analysis, global spatial distribution of Hg in the top 0-20 cm surface soil (consisted

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of organic soil and upper mineral soil in terrestrial ecosystems) is constructed. The implications

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of the soil Hg storage on global Hg cycling under climate change scenarios are discussed.

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2. Materials and Methods

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2.1. Sites description, sampling and measurements. Hg concentration and isotopic

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composition in vegetation and soil samples were measured at 13 agricultural land sites, 26 forest

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sites, 11 grassland sites, and 2 Tibetan wetland sites across China (Figure S1). The samples,

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collected from 2014 to 2018, include tree foliage, litterfall, grass, and straw, and soil at 0-20

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cm and 100 cm depth. All samples were collected during 2014-2018. The site information is

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provided in Table S1 of the Supported Information (SI). The sampling protocol has been

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described in detail in our earlier studies

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established for sample collection, and each ~500 g of samples for well mixed vegetation, 0-20

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cm surface soils and 100 cm deep soils were collected. Yang, et al. 35 suggested that vegetation

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samples freeze dried or oven-dried at < 65°C were suitable for determination of Hg. Vegetation

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samples were dried in an oven at 60°C for 48 hours until 0.05, by Paired-T test).

14.

Briefly, five 5m×5m subplots at each site were

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The procedure for Hg isotope measurement of vegetation and soil samples has been

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described in our earlier work14(detailed in the SI). Mercury isotopic compositions are measured

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using the Standard-Sample-Standard (SPS) protocol. The Hg-MDF is reported in δ notation

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using the unit of permil (‰) referenced to the neighboring NIST-3133 solution:

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δ202Hg (‰) =1000 × [(202Hg/198Hgsample)/(202Hg/198HgNISTSRM3133) - 1]

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MIF is reported as ΔxxxHg following the convention suggested by Blum and Bergquist 40:

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Δ199Hg (‰) = δ199Hg − 0.2520 × δ202Hg

(2)

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Δ200Hg (‰) = δ200Hg − 0.5024 × δ202Hg

(3)

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Δ201Hg (‰) = δ201Hg − 0.7520 × δ202Hg

(4)

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UM-Almadén secondary standard was analyzed for every 10 samples. The results of UM-

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Almadén are consistent with reported values (δ202Hg=-0.53±0.04‰, Δ199Hg=-0.01±0.04‰,

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Δ201Hg=-0.01±0.05‰, Δ200Hg=0.01±0.03‰,n=13) and BCR-482 (δ202Hg=-1.56±0.06‰,

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Δ199Hg=-0.63±0.02‰, Δ201Hg=-0.63±0.02‰, Δ200Hg=0.03±0.03‰, n=4) and GSS-4 (δ202Hg=-

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1.72±0.08‰,

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Mean±1SD, n=4) 40, 41.

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2.2 Mapping of global surface soil Hg concentration. The data collection and availability are

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described in the SI. Given the diverse spatial and temporal scales of these datasets, all data were

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regridded into 1°×1° grid cell. The volume of dataset for 0-20 cm surface soil Hg concentration

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in China (about 50,000 points) is much larger than the volume of dataset in the US (about 2,000

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points) in this study. To ensure data comparability, the grid cell in the US with less than 3 data

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points of surface soil Hg concentration was not considered. Similarly, the datasets of climate

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and vegetation factors, population distribution, and anthropogenic Hg emission were regridded

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into the same resolution of 1°×1°. Then, structural equation modeling and regression analyses

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were processed by Amos 21 and SPSS 16. ArcGIS 10.4 was utilized to create the global map

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of Hg concentration in surface soil. The global 0-20 cm surface soil Hg storage (HgP) is

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estimated as:

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Δ199Hg

=-0.34±0.03‰,

Δ201Hg

=-0.34±0.03‰,

HgP = HgC × BD × (1-f) × 20

Δ200Hg=-0.00±0.02‰,

(5)

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where HgC is soil Hg concentration, BD is the soil bulk density, and f is the soil coarse

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fragments (>2 mm) volume in 0-20 cm surface soil. Given the climate, vegetation and human

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influences (details in the Section of Results and Discussion), we used the MLR (Multiple Linear

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Regression) to obtain the empirical model to predict the global surface soil Hg concentration

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as following:

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log(HgC1) = -12.893 + 0.551log(P) + 7.651log(T) - 0.085log(NPP) – 1.366log(R) +

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0.029log(Hg2+) + 0.357*log(SOC),

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where HgC1 is the 0-20 cm surface soil Hg concentration (ng g-1, induced by climate, vegetation

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and human influences), P is precipitation (mm), T is air temperature (K), NPP is net primary

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production (g m-2 day-1), R is solar radiation (w m-2), Hg2+ is anthropogenic Hg2+emission (g

R2=0.57, P0.05). The Hg MIF signatures in foliage at rural sites exhibit consistent

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values (Figures S1 and 1) across the globe.

16, 34, 36.

Combining our

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Intriguingly, samples of submerged vegetation and surface sediment from Tibetan

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wetlands exhibit positive Δ199Hg and Δ200Hg values (Figure 1), characteristic of the MIF

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signatures of Hg2+ in precipitation water, and indicating a possibility that atmospheric Hg2+

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deposition is the dominant sources. Estimates from the mixing model using Δ200Hg (detailed in

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SI) yields Hg2+ (through precipitation) and Hg0 (through vegetative uptake) contributes to

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68±21% and 32±19% of vegetation Hg, respectively. The triple endmember mixing model

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using Δ199Hg and Δ200Hg (detailed in SI) suggests 26±19% of surface soil Hg in Tibetan

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wetlands is from atmospheric Hg0 deposition, 40±17% from atmospheric Hg2+ deposition, and

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34±18% inherited from parent soil material. This is different from earlier studies which

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revealed that Hg in streams and runoffs from forest catchment is mainly derived from dry

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deposition of atmospheric Hg0 45, 46. Mercury sources in Tibetan wetlands (mainly supplied by

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precipitation and glacier meltwater47) clearly distinct from those for forest surface soil, showing

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the characteristics of atmospheric Hg2+ deposition.

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Surface soil in agricultural lands are mainly influenced by human activities, and therefore

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has elevated Hg concentrations (>200 ng g-1) with isotopic signatures similar to Hg emission

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from anthropogenic sources (~0 Δ199Hg and Δ201Hg signatures, p= 0.324 by T-test)16, 34, 48.

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Except for Tibetan wetlands, the MIF signatures (Δ199Hg and Δ200Hg, Figure 1) of surface soil

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Hg in forest, peatland, grassland and tundra ecosystems are more characteristic of vegetation

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rather than those found in atmospheric water (positive Δ199Hg and Δ200Hg)14, 16, 34 and geological

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inputs (~0 Δ199Hg and Δ200Hg)16, 49. This suggests wet deposition of atmospheric Hg cannot

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explain the observed isotopic characteristics in soil samples. In addition, precipitation intensity

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is the dominant factor (rather than Hg concentration in precipitation) that leads to Hg wet

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deposition at remote sites globally6, 7. If Hg input from precipitation contributed significantly

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to soil Hg, observed Δ199Hg shift in surface soil samples would exhibit positive correlation to

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precipitation intensity. However, the data in this study show opposite trend, as indicated by the

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negative correlation observed between precipitation and Δ199Hg in rural forest and grassland

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ecosystems (r=-0.55, p < 0.001, n=48 sites, Figure S3). Moreover, the triple endmember mixing

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model shows that 54±21% (mean±1SD) of Hg in the surface soil of global documented

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ecosystems is derived from atmospheric Hg0 deposition, 12±9% from atmospheric Hg2+

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deposition, and 34±18% inherited from parent soil material. This is consistent with earlier

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findings that dry deposition of Hg0 is the primary source of soil Hg14, 19, 21, 22, 36, 37.

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The significantly negative correlation between precipitation and Δ199Hg can be explained

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by vegetative development enhanced by precipitation, which increases biomass production and

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therefore a greater atmospheric Hg0 uptake vegetation that leads to more negative Δ199Hg in

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surface soil after litterfall. Such evidence has been documented in earlier Hg isotope studies

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across North American forests and Eastern Tibetan Plateau forests that higher precipitation and

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warmer temperature enhance plant productivity and subsequently increase Hg accumulation in

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soil through atmospheric Hg0 deposition through plant uptake 8, 9. Since the spatial distribution

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of vegetative development is closely tied to the climatic factors25-28, the changed vegetation

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distribution will also be forced by climate change, thus shaping the soil surface Hg geospatial

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distribution.

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3.2 Influences of climate change and vegetation development on soil Hg. It has been

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suggested that surface soil Hg concentration is correlated with soil organic carbon (SOC), leaf

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area index (LAI), plant net primary production (NPP), and anthropogenic Hg emission14, 50-52.

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We categorized these factors into three groups: climate factors (e.g., precipitation, temperature,

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and solar irradiance), vegetation-related factors (e.g., LAI, NPP, and SOC), and human factors

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(e.g., population and anthropogenic Hg emission). Few studies have reported the interplays

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among surface soil Hg concentration and these factors at a continual or global scale. Cross

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analysis of data collected (n=1541 1°×1° grid cells) in China and the US (Figure S2) shows that

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Hg concentration in surface soil is highly correlated to climate factors, moderately correlated

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to vegetation related factors, and weakly correlated to anthropogenic activities (population and

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anthropogenic Hg emission). This suggests that climate and vegetation play an important role

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in shaping the spatial distribution of Hg in surface soil.

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Factors contributing to the spatial variation of soil Hg as explained by the structural

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equation modeling pathway network are shown in Figure 2. The direct effect by vegetation is

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0.66, compared to the much smaller effect by human activities (0.14). This suggests the direct

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impact from human activities is largely invisible over a large spatial scale. This is plausible,

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since anthropogenic emissions of Hg is primarily from point sources. In addition, the Hg

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isotopic data suggest wet deposition (removing GOM in the atmosphere generally) is less

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important than previously perceived as emissions are prone to long range atmospheric transport.

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The variation of vegetation development is controlled by the climate factor (direct effect up to

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0.93), leading to a confounded effect of climate-vegetation forcing at 0.61. This is much greater

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than the total effect of 0.09 by climate-human activities as indicated by the isotopic evidence

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that relates Hg accumulation in soil to vegetation productivity.

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The high Hg0 concentrations caused by anthropogenic Hg release in industrialized areas

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is greatly diluted during chemical transport processes over the long residence time of Hg0 (0.5-1

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year)

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accumulation in vegetated ecosystems. Since climate is a predominant driver for global

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vegetation distribution, the impact caused by the changing climate and subsequently vegetation

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distribution enriches soil Hg concentration in remote regions, such as Tibetan forests14, 54 and

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arctic tundra37, 55. This is also supported by structural equation modeling results and Hg isotopic

53.

Dry deposition of Hg0 via vegetation uptake is the main source for soil Hg

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signatures at large scale.

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Analytical results from the structural equation modeling also infer that climate has a strong

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impact on anthropogenic activities (direct effect=0.63, Figure 2). The significant effect of

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climate on anthropogenic activities can be explained by population growth in the temperate

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climate zone. For example, regions with >800 mm precipitation in China make up only 43% of

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land area, but have 94% of the population and substantially elevated soil Hg concentration 11,

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56.

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hidden by climate changes. In addition, since human activities and vegetation development can

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impose feedback to climate in Figure 2, the climate-vegetation-human interactions are likely to

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occur under future land-use and climate change scenarios, which need to be considered when

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assessing global Hg cycling.

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3.3 Climate and vegetation influence on global distribution of Hg in surface soil. Using

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multivariate curvilinear regression and geospatial mapping (Section 2.2), global distribution of

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Hg concentration in top 0-20 cm surface soil is constructed using the WWF (World Wildlife

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Fund) 14 terrestrial ecoregion classifications. The Hg concentration in soil varies from 10 ng

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g-1 to 289 ng g-1 with a mean of 47±26 ng g-1 and a median of 45 ng g-1 (Figure 3, Table S3).

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The model-predicted concentrations were verified using documented soil Hg spatial

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concentration dataset in continental surface agricultural and grazing land soils in Europe, and

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at 740 sites values across the globe. Figure 3 shows that the histogram of simulated Hg

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concentration agrees with the observational data of continental surface soil in Europe. The

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scatterplot of model-predicted Hg concentration versus observation yields a slope of 0.71 (R2

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= 0.72, n=740, p