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    UN high seas treaty is a landmark – but science needs to fill the gaps

    Many ocean sharks, including the grey reef shark, are endangered as a result of sharp declines in their numbers.Credit: Alexis Rosenfeld/Getty

    The United Nations high seas treaty has been a long time coming. Secured earlier this month after almost 20 years of effort, it will be the first international law to offer some protection to the nearly two-thirds of the ocean that is beyond national control. These parts of the ocean currently have few, if any, meaningful safeguards against pollution, overfishing and habitat destruction. The treaty is without doubt a major achievement.Agreed under the UN Convention on the Law of the Sea, it represents several wins. Among them is the capacity to create marine protected areas through decisions of a conference of the parties to the treaty. It also recognizes that genetic resources of the high seas must benefit all of humanity. Moreover, companies planning commercial activities and organizations considering other large projects (such as potential climate interventions involving the ocean) will need to carry out environmental impact assessments.
    UN forges historic deal to protect ocean life: what researchers think
    Countries will be permitted to profit from exploiting marine genetic resources, but they must channel a proportion of their profits into a global fund to protect the high seas. Although the details are still to be worked out, high-income countries active in marine genetic research will be asked to contribute proportionately more to the fund.The treaty contains many opportunities for research in ocean science, for building research capacity in low- and middle-income countries, and for improving the evidence available to decision makers. Researchers working with marine genetic resources will need to register their interests with a central clearing house and commit to making data and research outputs open access.Scientists will have an important role in ensuring the treaty’s ultimate success. In part, this will involve gathering or improving the evidence to support the establishment and maintenance of strong marine protected areas and to inform stringent environmental impact assessments. Beyond that, researchers must make every effort to ensure transparency, including declaring the origin and prospective use of any genetic material, and making digital sequence information available through international repositories. This will not only enhance cooperation and capacity-building, but will also help governments to develop their own national regulations and procedures in line with the treaty.There’s also the potential for fresh scientific collaboration — for example, using emerging technologies such as telepresence, whereby scientists can take part in research cruises remotely. Marine scientists travelling to, say, the Pacific Ocean could collect samples under the guidance of colleagues elsewhere in real time. The knowledge gained from such collaborations could lead to the commercialization of new products, benefiting scientists and economies around the world.However, it is important not to overstate the treaty’s potential: notwithstanding its successes, there are deficiencies that the international community, supported by the research community, must now work to remedy.

    Rena Lee, president of the high seas treaty conference, concluded proceedings on 3 March with the words “the ship has reached the shore”.Credit: Kena Betancur/AFP/Getty

    As the planet warms, the Arctic’s permanent ice cover is melting, and China is planning a shipping route through the Central Arctic Ocean. This could become a regular passageway for shipping between Asia and Europe within a decade. In the Pacific, mining companies are exploring the deep sea bed for metals that they say are needed for the batteries that will power the coming green-energy transition. But these activities won’t face scrutiny under the treaty, because the treaty’s provisions don’t overrule regulations laid down by the authorities that oversee existing high seas activities. These include the International Maritime Organization, which is responsible for shipping; the International Seabed Authority, which oversees deep-sea mining; and some 17 regional fisheries management organizations tasked with regulating fisheries in various parts of the ocean, including Antarctica. Military activities and existing fishing and commercial shipping are, in fact, exempt from the treaty.
    Protecting the ocean requires better progress metrics
    This means, for example, that the treaty cannot create protected areas in places already covered by fishing agreements, even if that fishing is unsustainable and depleting stocks. This is a gaping hole. The overexploitation of coastal fisheries has made a frontier of the high seas, as fleets travel farther and fish for longer in search of dwindling resources. One outcome is that stocks of some highly migratory species, such as tuna, have dropped precipitously since the 1950s (M. J. Juan-Jordá et al. Proc. Natl Acad. Sci. USA 108, 20650–20655; 2011). By 2018, the Pacific bluefin tuna, for instance, was at 3.3% of 1952 levels (see go.nature.com/3mpimbh). Oceanic sharks and rays have also declined globally by 71% since 1970 (N. Pacoureau et al. Nature 589, 567–571; 2021). Once the treaty becomes law (after it has been ratified in the national parliaments of at least 60 countries), it can demand that proposed ocean activities — such as climate-intervention experiments — are subject to stringent environmental impact assessments. But it cannot do the same for activities already under way.Nor will the treaty end current offshore environmental violations. Farming waste, in the form of excessive nutrients, routinely ends up in rivers and coastal waters. From there, it makes its way to the open ocean, where it results in the formation of dead zones — vast areas devoid of life. Between 2008 and 2019, the number of these zones nearly doubled, from 400 to 700 (see go.nature.com/3mpigh1). So much plastic is now entering our seas that the oceans are thought to contain around 200 million tonnes. Meanwhile, cruise ships legally discharge more than one billion tonnes of raw sewage into international waters every year.Nonetheless, as humanity’s first serious attempt to challenge the carnage that prevails offshore, the high seas treaty is a triumph for diplomacy, particularly at a time when multilateralism is under sustained pressure. At present, just 1% of international waters are protected. That proportion is now set to grow, and this will help to maintain the health of our oceans and stem biodiversity loss. In securing this deal, the international community has given itself a fighting chance of coming good on earlier promises — most recently reiterated under the UN Convention on Biological Diversity — to protect 30% of the ocean by 2030.Full implementation, although some years away, offers scientists a once-in-a-generation opportunity to use their knowledge to support offshore conservation. In redressing our ‘out of sight, out of mind’ relationship with the oceans, the high seas treaty will allow us — supported by a burgeoning research effort — to rethink how we use our ocean commons in ways that benefit the majority. More

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    When legislation to protect wildlife becomes a problem

    Most legislation to protect wildlife currently focuses on prohibiting deliberate destruction and excessive exploitation of resources. However, that approach fails to address emerging threats such as climate change. Many species will go extinct long before emissions-reduction schemes are realized.
    Competing Interests
    The authors declare no competing interests. More

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    Breaking the bias: how to deliver gender equity in conservation

    In many conservation projects, women are alone on all-male teams.Credit: Getty

    My career in conservation spans more than 20 countries, and workplaces ranging from universities, governments and consultancies to community-based and global non-governmental organizations (NGOs). Currently, I work as the Asia-Pacific director of gender and equity at The Nature Conservancy, one of the largest global conservation NGOs: it has more than 4,000 staff members and is active in more than 80 countries. I am responsible for ensuring that all our endeavours across the Asia-Pacific to address biodiversity loss and the climate crisis are inclusive and equitable.My career has been incredibly diverse: from monitoring saltwater crocodiles (Crocodylus porosus) in northern Australia to working with women on gender-based violence in Papua New Guinea to speaking at international climate meetings. But one theme has remained a constant: gender-based discrimination, which not only holds women back, but holds the world back from addressing the crises of climate change and biodiversity loss.Discrimination is by no means an experience unique to me or just a few women. A review of 230 peer-reviewed articles1, of which I was the lead author, confirmed a sobering truth: women everywhere are excluded from decisions about conservation and natural resources, from small and remote communities in biodiversity hotspots to large conservation organizations themselves. In every country, and in almost every setting and organization, women are routinely disadvantaged in conservation just because they are women.
    Collection: Fieldwork
    Unconscious bias is normal and natural, and all of us have it: it is how our brains make sense of the world. But when unexamined bias or deliberate discrimination influences decision-making, perpetuates stereotypes and keeps women from reaching their potential, they create rippling negative impacts on society and the future of our planet. Whether gender stereotypes are overtly hostile (such as ‘women are too emotional to lead fieldwork’) or seemingly benign (‘women are naturally good at organizing and supporting the team’ or ‘we need a strong, decisive leader’ — that is, a man), they hold women back in their conservation careers.An uneven playing fieldConservation has historically been a male-dominated profession. Just 3–11% of wildlife rangers are women2, and only 11% of the top-publishing authors in conservation and ecology are women3. A strong masculine culture is often associated with the profession, which can intimidate women. Many women in the sector experience sexual harassment and anxiety about their personal safety — particularly when they are the only woman on a project, which is often the case.Furthermore, women usually pay a heavy price for calling out cultures that are not inclusive. From surveying conservation professionals, I found that nearly 20% of women fear reprisal when speaking out against bias4. Their fears are warranted; many are sidelined or branded as ‘difficult’ or ‘frustrating’ if they draw attention to discrimination or poor behaviour, or try to slow down the decision-making process if it is not inclusive.In my career, I have been told that I wouldn’t be considered for an exciting project because it would be too physically demanding, be unsafe for a woman to be alone in a remote setting or require too much time away from my young family. Decisions that are made on your behalf are infuriating — and can come at both a career cost and a financial cost. Conversely, I have been offered opportunities because I have a masculine, gender-neutral name, and the people in charge assumed that I was a man before they had met me. I was then met with surprise and scepticism when I turned up and they realized that ‘Robyn James’ is a woman. I have always held my own in these situations, but the constant pressure to prove I belonged was exhausting and came at a personal cost5,6.My experiences are those of someone who holds deep and unearned privilege: I am a white cis woman with sufficient income to support my family, and I can speak and write English (the primary language of science) well. These factors increase my opportunities to contribute. Many conservationists and scientists who are women do not have those privileges. Some are also discriminated against owing to racism in a world that favours whiteness, and those who live in places where the cost of education and health care is high, wages are low and basic services such as power and Internet are intermittent face further disadvantages.As an ally and sponsor for women in conservation and science, I am determined to leverage my position to change this. I’m focused on breaking down walls and smashing the glass ceiling for women across the sector.Here are a few ways I am using the power I have to make conservation and science more inclusive. Hopefully these ideas will help others to share their solutions or to be better allies to women.Women are needed as leadersWomen who are conservation and environmental-science graduate students or are at early career stages often tell me that they don’t often see women at senior levels7, and that leaders don’t make them feel included. I am part of an informal group of women in senior positions in conservation, representing several organizations, who attend events for undergraduates and early-career professionals. We aim to share our journeys and to be visible to women who are just starting out. We model diverse leadership styles to show alternatives to masculine ‘command and control’ leadership, which these women might have more often experienced.Women routinely undersell themselves and do not apply for promotions, so we actively encourage our younger peers to apply for positions and support them by providing feedback on CVs and sharing interview techniques, for example. I am also part of a formal mentoring and sponsorship programme to support women — especially those in the lower-income countries — to navigate and excel in systems that are not designed with their success in mind. We work through issues to do with self-esteem and confidence: some women have understandably taken biased attitudes on board, and do not realize that they are worthy of progressing in their careers. I work with them to help them to understand how incredible they really are.

    Conservation scientist Robyn James works with women on the Solomon Islands.Credit: Madlyn Ero

    At The Nature Conservancy, we have developed a network of more than 50 women who can share their experiences and challenges in a safe supportive environment. We ensure that we work with women to address practical challenges they encounter. These efforts range from dedicated sessions on how to address gender bias in their teams and workplaces, to working through examples of how to make progress on gender equity in the field of conservation, where speaking up might clash with cultural norms or put women at risk of retaliation.Making work more inclusiveMy research with The Nature Conservancy on gender and conservation science publishing has shown that women are vastly under-represented8: less than 2% of authors were women in lower-income countries. The organization subsequently enlisted an experienced, well-published conservation scientist to work with women across the Asia-Pacific and support them in the publishing process, from developing research ideas to submitting final publications. I ensure my own published research includes authors with diverse perspectives. For example, for the three publications that were part of my PhD research1,4,8, 86% (19) of the authors are women, of which 68% (13) are first-time authors, 47% (9) are women of colour and 5 (26%) are in lower-income countries. This demonstrates that intentional efforts make a difference.Even the wording of job descriptions can exclude women. Language inherently has gendered associations, so including words such as confident, decisive, strong and outspoken in job postings has been found to attract men and deter women from applying. Many of my colleagues have felt intimidated by the tone of conservation job advertisements, which seem to be written for men. At The Nature Conservancy, we check our job descriptions and organizational plans and strategies for gendered language using a gender decoder, a tool that assesses text for masculine-coded language that could unconsciously discourage women from applying or keep women from feeling engaged with a work programme or strategy. (You can see what the decoder finds in this article here).Wherever patriarchy is deeply entrenched, men are often favoured for higher education and technical training — and women miss out. Many conservation roles have standard and mandatory educational and technical qualifications, so women are often automatically excluded from even being able to apply for a role they could otherwise be suited for.Changes in the fieldMy leadership team and I have worked to address some of the systems and processes that might inadvertently disadvantage women. For example, in the Solomon Islands, an archipelago in the south Pacific, marine conservation and research roles that require a scuba licence immediately exclude many women in the country from applying, because almost none have access to scuba training given that men are generally prioritized for training and development opportunities. In most places where The Nature Conservancy works, our employees will only ever need a mask and snorkel. Therefore, a small change in the job description means that many more women can apply. Adjusting our standard mandatory requirements has led to some fantastic women successfully applying and becoming high-performing members of our conservation teams. We now carefully omit any technical requirements that are not essential to a role or that can be easily obtained through on-the-job training.We ensure women are included in the teams that develop and implement workplace health and safety protocols, and have broadened our definition of workplace health and safety to include psychological safety and protection from gender-based violence (including sexual harassment). We worked with experienced professionals in this area to develop organization-wide guidance for our staff and partners. We also develop tailored plans depending on the country we are in to specifically address safety for women. For example, in Papua New Guinea, some women on our teams made it clear that it was unsafe for them to travel home after dark on public transport. In this country, more than two-thirds of women have experienced violence. We commissioned an official work vehicle to take staff home after hours.We ensure women have basic field equipment that is suitable for them. We provide women’s sizes in all protective gear: everything from gloves for fire protection to life jackets. This is organized before a trip or fieldwork takes place.We are also implementing protocols to ensure our conservation teams are diverse and that women are not on their own among all-male research groups. This is not only safer for women, but has repeatedly led to better conservation outcomes: the women notice things that have previously been missed. For example, in Mongolia, women in herding communities are often unable to attend important research meetings about grassland management because there is no access to toilets or because training sessions are held at times when they have caring obligations. The women on the project noticed this, and worked with the herders to ensure the infrastructure was adequate and the schedule was adjusted so that they could participate and share their unique perspectives on improving grassland conservation.Women benefit from more women being in the sector. From early-career to senior positions, representation matters. But this alone is not enough. Historically male-dominated sectors, such as conservation, that now have a relatively equal gender balance in undergraduate courses need to push for cultural change as well. This is the most difficult part of my role: challenging male leaders and systems that are not designed for women to succeed.Although we need to listen and respond to the needs of women, this is never something that should be the burden of women alone to fix. Strong leadership across our sector that prioritizes gender equity and inclusion in conservation, and provides resources to achieve it, is crucial.Women will thrive in conservation science if we keep pushing to move from equality to inclusion. Inclusion means not only that women are present, but that workplaces and programmes are designed and tailored with and for them. We shouldn’t be surprised or blame women when they don’t succeed in conservation and science workplaces and programmes that are still not actively including them. Women make up more than 50% of the population; we need to have a say in the future of our planet! More

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    Climate-driven tradeoffs between landscape connectivity and the maintenance of the coastal carbon sink

    Macreadie, P. I. et al. The future of Blue Carbon science. Nat. Commun. 10, 3998 (2019).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Herbert, E. R., Windham-Myers, L. & Kirwan, M. L. Sea-level rise enhances carbon accumulation in United States tidal wetlands. One Earth 4, 425–433 (2021).Article 
    ADS 

    Google Scholar 
    Rogers, K. et al. Wetland carbon storage controlled by millennial-scale variation in relative sea-level rise. Nature 567, 91–95 (2019).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Murray, N. J. et al. The global distribution and trajectory of tidal flats. Nature 565, 222–225 (2019).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Saintilan, N. et al. Thresholds of mangrove survival under rapid sea level rise. Science 368, 1118–1121 (2020).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Waycott, M. et al. Accelerating loss of seagrasses across the globe threatens coastal ecosystems. Proc. Natl Acad. Sci. USA 106, 12377–12381 (2009).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kirwan, M. L. & Gedan, K. B. Sea-level driven land conversion and the formation of ghost forests. Nat. Clim. Change 9, 450–457 (2019).Article 
    ADS 

    Google Scholar 
    Raabe, E. A. & Stumpf, R. P. Expansion of tidal marsh in response to sea-level rise: Gulf Coast of Florida, USA. Estuaries Coast. 39, 145–157 (2016).Article 

    Google Scholar 
    Ury, E. A., Yang, X., Wright, J. P. & Bernhardt, E. S. Rapid deforestation of a coastal landscape driven by sea-level rise and extreme events. Ecol. Appl. 31, e02339 (2021).Article 
    PubMed 

    Google Scholar 
    Mariotti, G. Revisiting salt marsh resilience to sea level rise: are ponds responsible for permanent land loss? J. Geophys. Res. Earth Surf. 121, 1391–1407 (2016).Article 
    ADS 

    Google Scholar 
    Schepers, L., Brennand, P., Kirwan, M. L., Guntenspergen, G. R. & Temmerman, S. Coastal marsh degradation into ponds induces irreversible elevation loss relative to sea level in a microtidal system. Geophys. Res. Lett. 47, e2020GL089121 (2020).Article 
    ADS 

    Google Scholar 
    Schieder, N. W., Walters, D. C. & Kirwan, M. L. Massive upland to wetland conversion compensated for historical marsh loss in Chesapeake Bay, USA. Estuaries Coasts 41, 940–951 (2018).Article 

    Google Scholar 
    Chmura, G. L., Anisfeld, S. C., Cahoon, D. R. & Lynch, J. C. Global carbon sequestration in tidal, saline wetland soils. Glob. Biogeochem. Cycles 17, 1111 (2003).Fourqurean, J. W. et al. Seagrass ecosystems as a globally significant carbon stock. Nat. Geosci. 5, 505–509 (2012).Article 
    ADS 
    CAS 

    Google Scholar 
    Mcleod, E. et al. A blueprint for blue carbon: toward an improved understanding of the role of vegetated coastal habitats in sequestering CO2. Front. Ecol. Environ. 9, 552–560 (2011).Article 

    Google Scholar 
    Smart, L. S. et al. Aboveground carbon loss associated with the spread of ghost forests as sea levels rise. Environ. Res. Lett. 15, 104028 (2020).Article 
    ADS 
    CAS 

    Google Scholar 
    Smith, A. J. & Kirwan, M. L. Sea level-driven marsh migration results in rapid net loss of carbon. Geophys. Res. Lett. 48, e2021GL092420 (2021).Article 
    ADS 
    CAS 

    Google Scholar 
    Phang, V. X. H., Chou, L. M. & Friess, D. A. Ecosystem carbon stocks across a tropical intertidal habitat mosaic of mangrove forest, seagrass meadow, mudflat and sandbar. Earth Surf. Process. Landf. 40, 1387–1400 (2015).Article 
    ADS 
    CAS 

    Google Scholar 
    Saavedra-Hortua, D. A., Friess, D. A., Zimmer, M. & Gillis, L. G. Sources of particulate organic matter across mangrove forests and adjacent ecosystems in different geomorphic settings. Wetlands 40, 1047–1059 (2020).Article 

    Google Scholar 
    Windham-Myers, L., Crooks, S. & Troxler, T. G. A Blue Carbon Primer: The State of Coastal Wetland Carbon Science, Practice and Policy (CRC Press, 2018).Donatelli, C., Kalra, T. S., Fagherazzi, S., Zhang, X. & Leonardi, N. Dynamics of marsh-derived sediments in lagoon-type estuaries. J. Geophys. Res. Earth Surf. 125, e2020JF005751 (2020).Article 
    ADS 

    Google Scholar 
    Hopkinson, C. S., Morris, J. T., Fagherazzi, S., Wollheim, W. M. & Raymond, P. A. Lateral marsh edge erosion as a source of sediments for vertical marsh accretion. J. Geophys. Res. Biogeosci. 123, 2444–2465 (2018).Article 
    CAS 

    Google Scholar 
    Mitchell, M. G. E., Bennett, E. M. & Gonzalez, A. Linking landscape connectivity and ecosystem service provision: current knowledge and research gaps. Ecosystems 16, 894–908 (2013).Article 

    Google Scholar 
    Pearson, R. M. et al. Disturbance type determines how connectivity shapes ecosystem resilience. Sci. Rep. 11, 1188 (2021).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Grande, T. O., Aguiar, L. M. S. & Machado, R. B. Heating a biodiversity hotspot: connectivity is more important than remaining habitat. Landsc. Ecol. 35, 639–657 (2020).Article 

    Google Scholar 
    Olliver, E. A. & Edmonds, D. A. Hydrological connectivity controls magnitude and distribution of sediment deposition within the Deltaic Islands of Wax Lake Delta, LA, USA. J. Geophys. Res. Earth Surf. 126, e2021JF006136 (2021).Article 
    ADS 

    Google Scholar 
    Ward, N. D. et al. Representing the function and sensitivity of coastal interfaces in Earth system models. Nat. Commun. 11, 2458 (2020).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wohl, E. et al. Connectivity as an emergent property of geomorphic systems. Earth Surf. Process. Landf. 44, 4–26 (2019).Article 
    ADS 

    Google Scholar 
    Kirwan, M. L. & Mudd, S. M. Response of salt-marsh carbon accumulation to climate change. Nature 489, 550–553 (2012).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Rietl, A. J., Megonigal, J. P., Herbert, E. R. & Kirwan, M. L. Vegetation type and decomposition priming mediate brackish marsh carbon accumulation under interacting facets of global change. Geophys. Res. Lett. 48, e2020GL092051 (2021).Article 
    ADS 
    CAS 

    Google Scholar 
    Kirwan, M. L., Walters, D. C., Reay, W. G. & Carr, J. A. Sea level driven marsh expansion in a coupled model of marsh erosion and migration. Geophys. Res. Lett. 43, 4366–4373 (2016).Article 
    ADS 

    Google Scholar 
    Mariotti, G. & Fagherazzi, S. A numerical model for the coupled long-term evolution of salt marshes and tidal flats. J. Geophys. Res. Earth Surf. 115, F01004 (2010).Theuerkauf, E. J., Stephens, J. D., Ridge, J. T., Fodrie, F. J. & Rodriguez, A. B. Carbon export from fringing saltmarsh shoreline erosion overwhelms carbon storage across a critical width threshold. Estuar. Coast. Shelf Sci. 164, 367–378 (2015).Article 
    CAS 

    Google Scholar 
    Murray, A. B. Reducing model complexity for explanation and prediction. Geomorphology 90, 178–191 (2007).Article 
    ADS 

    Google Scholar 
    Murray, A. B. & Paola, C. A cellular model of braided rivers. Nature 371, 54–57 (1994).Article 
    ADS 

    Google Scholar 
    Mariotti, G. & Carr, J. Dual role of salt marsh retreat: long-term loss and short-term resilience. Water Resour. Res. 50, 2963–2974 (2014).Article 
    ADS 

    Google Scholar 
    Mudd, S. M., Howell, S. M. & Morris, J. T. Impact of dynamic feedbacks between sedimentation, sea-level rise, and biomass production on near-surface marsh stratigraphy and carbon accumulation. Estuar. Coast. Shelf Sci. 82, 377–389 (2009).Article 
    ADS 
    CAS 

    Google Scholar 
    Mudd, S. M., Fagherazzi, S., Morris, J. T. & Furbish, D. J. Flow, sedimentation, and biomass production on a vegetated salt marsh in South Carolina: toward a predictive model of marsh morphologic and ecologic evolution. Ecogeomorphology Tidal Marshes 59, 165–188 (2004).Reeves, I. R. B. et al. Impacts of seagrass dynamics on the coupled long-term evolution of barrier-marsh-bay systems. J. Geophys. Res. Biogeosci. 125, e2019JG005416 (2020).Article 
    ADS 

    Google Scholar 
    Spivak, A. C., Sanderman, J., Bowen, J. L., Canuel, E. A. & Hopkinson, C. S. Global-change controls on soil-carbon accumulation and loss in coastal vegetated ecosystems. Nat. Geosci. 12, 685–692 (2019).Article 
    ADS 
    CAS 

    Google Scholar 
    de Broek, M. V. et al. Long-term organic carbon sequestration in tidal marsh sediments is dominated by old-aged allochthonous inputs in a macrotidal estuary. Glob. Change Biol. 24, 2498–2512 (2018).Article 
    ADS 

    Google Scholar 
    Noyce, G. L., Kirwan, M. L., Rich, R. L. & Megonigal, J. P. Asynchronous nitrogen supply and demand produce nonlinear plant allocation responses to warming and elevated CO2. Proc. Natl Acad. Sci. USA 116, 21623–21628 (2019).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Smith, A. J., Noyce, G. L., Megonigal, J. P., Guntenspergen, G. R. & Kirwan, M. L. Temperature optimum for marsh resilience and carbon accumulation revealed in a whole-ecosystem warming experiment. Glob. Change Biol. 28, 3236–3245 (2022).Article 
    CAS 

    Google Scholar 
    Guimond, J. & Tamborski, J. Salt marsh hydrogeology: a review. Water 13, 543 (2021).Article 
    CAS 

    Google Scholar 
    Xin, P. et al. Surface water and groundwater interactions in salt marshes and their impact on plant ecology and coastal biogeochemistry. Rev. Geophys. 60, e2021RG000740 (2022).Article 
    ADS 

    Google Scholar 
    Chen, Y. & Kirwan, M. L. Climate-driven decoupling of wetland and upland biomass trends on the mid-Atlantic coast. Nat. Geosci. 15, 913–918 (2022).Article 
    ADS 
    CAS 

    Google Scholar 
    Rapalee, G., Trumbore, S. E., Davidson, E. A., Harden, J. W. & Veldhuis, H. Soil Carbon stocks and their rates of accumulation and loss in a boreal forest landscape. Glob. Biogeochem. Cycles 12, 687–701 (1998).Article 
    ADS 
    CAS 

    Google Scholar 
    Stewart, C. E., Paustian, K., Conant, R. T., Plante, A. F. & Six, J. Soil carbon saturation: concept, evidence and evaluation. Biogeochemistry 86, 19–31 (2007).Article 
    CAS 

    Google Scholar 
    Zhou, T. et al. Age-dependent forest carbon sink: Estimation via inverse modeling. J. Geophys. Res. Biogeosci. 120, 2473–2492 (2015).Article 
    CAS 

    Google Scholar 
    Morris, J. T., Sundareshwar, P. V., Nietch, C. T., Kjerfve, B. & Cahoon, D. R. Responses of coastal wetlands to rising sea level. Ecology 83, 2869–2877 (2002).Article 

    Google Scholar 
    Kirwan, M. L., Temmerman, S., Skeehan, E. E., Guntenspergen, G. R. & Fagherazzi, S. Overestimation of marsh vulnerability to sea level rise. Nat. Clim. Change 6, 253–260 (2016).Article 
    ADS 

    Google Scholar 
    Brinson, M. M., Christian, R. R. & Blum, L. K. Multiple states in the sea-level induced transition from terrestrial forest to estuary. Estuaries 18, 648–659 (1995).Article 
    CAS 

    Google Scholar 
    Schieder, N. W. & Kirwan, M. L. Sea-level driven acceleration in coastal forest retreat. Geology 47, 1151–1155 (2019).Article 
    ADS 

    Google Scholar 
    Leonardi, N., Ganju, N. K. & Fagherazzi, S. A linear relationship between wave power and erosion determines salt-marsh resilience to violent storms and hurricanes. Proc. Natl Acad. Sci. USA 113, 64–68 (2016).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Feagin, R. A., Martinez, M. L., Mendoza-Gonzalez, G. & Costanza, R. Salt marsh zonal migration and ecosystem service change in response to global sea level rise: a case study from an urban region. Ecol. Soc. 15, 14 (2010).Sapkota, Y. & White, J. R. Marsh edge erosion and associated carbon dynamics in coastal Louisiana: a proxy for future wetland-dominated coastlines world-wide. Estuar. Coast. Shelf Sci. 226, 106289 (2019).Article 
    CAS 

    Google Scholar 
    Smith, K. E. L., Terrano, J. F., Khan, N. S., Smith, C. G. & Pitchford, J. L. Lateral shoreline erosion and shore-proximal sediment deposition on a coastal marsh from seasonal, storm and decadal measurements. Geomorphology 389, 107829 (2021).Article 

    Google Scholar 
    Bouma, T. J. et al. Short-term mudflat dynamics drive long-term cyclic salt marsh dynamics. Limnol. Oceanogr. 61, 2261–2275 (2016).Article 
    ADS 

    Google Scholar 
    Gillis, L. G. et al. Potential for landscape-scale positive interactions among tropical marine ecosystems. Mar. Ecol. Prog. Ser. 503, 289–303 (2014).Article 
    ADS 

    Google Scholar 
    Schuerch, M., Dolch, T., Reise, K. & Vafeidis, A. T. Unravelling interactions between salt marsh evolution and sedimentary processes in the Wadden Sea (southeastern North Sea). Prog. Phys. Geogr. Earth Environ. 38, 691–715 (2014).Article 

    Google Scholar 
    Gonneea, M. E. et al. Salt marsh ecosystem restructuring enhances elevation resilience and carbon storage during accelerating relative sea-level rise. Estuar. Coast. Shelf Sci. 217, 56–68 (2019).Article 
    ADS 
    CAS 

    Google Scholar 
    McTigue, N. et al. Sea level rise explains changing carbon accumulation rates in a salt marsh over the past two millennia. J. Geophys. Res. Biogeosci. 124, 2945–2957 (2019).Article 
    CAS 

    Google Scholar 
    Wang, F., Lu, X., Sanders, C. J. & Tang, J. Tidal wetland resilience to sea level rise increases their carbon sequestration capacity in United States. Nat. Commun. 10, 5434 (2019).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wang, F. et al. Global blue carbon accumulation in tidal wetlands increases with climate change. Natl Sci. Rev. 8, nwaa296 (2021).Article 
    CAS 
    PubMed 

    Google Scholar 
    Ganju, N. K., Defne, Z., Elsey-Quirk, T. & Moriarty, J. M. Role of tidal wetland stability in lateral fluxes of particulate organic matter and carbon. J. Geophys. Res. Biogeosci. 124, 1265–1277 (2019).Article 
    CAS 

    Google Scholar 
    Krauss, K. W. et al. The role of the upper tidal estuary in wetland blue carbon storage and flux. Glob. Biogeochem. Cycles 32, 817–839 (2018).Article 
    ADS 
    CAS 

    Google Scholar 
    Baustian, M. M., Stagg, C. L., Perry, C. L., Moss, L. C. & Carruthers, T. J. B. Long-term carbon sinks in marsh soils of coastal louisiana are at risk to wetland loss. J. Geophys. Res. Biogeosci. 126, e2020JG005832 (2021).Article 
    ADS 

    Google Scholar 
    DeLaune, R. D. & White, J. R. Will coastal wetlands continue to sequester carbon in response to an increase in global sea level?: a case study of the rapidly subsiding Mississippi river deltaic plain. Clim. Change 110, 297–314 (2012).Article 
    ADS 

    Google Scholar 
    Lovelock, C. E. & Duarte, C. M. Dimensions of Blue Carbon and emerging perspectives. Biol. Lett. 15, 20180781 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Lovelock, C. E. & Reef, R. Variable impacts of climate change on Blue Carbon. One Earth 3, 195–211 (2020).Article 
    ADS 

    Google Scholar 
    Bernal, B. & Mitsch, W. J. Comparing carbon sequestration in temperate freshwater wetland communities. Glob. Change Biol. 18, 1636–1647 (2012).Article 
    ADS 

    Google Scholar 
    Mack, S. K., Lane, R. R., Deng, J., Morris, J. T. & Bauer, J. J. Wetland carbon models: applications for wetland carbon commercialization. Ecol. Model. 476, 110228 (2023).Article 
    CAS 

    Google Scholar 
    Young, I. R. & Verhagen, L. A. The growth of fetch limited waves in water of finite depth. Part 1. Total energy and peak frequency. Coast. Eng. 29, 47–78 (1996).Article 

    Google Scholar 
    Mariotti, G. & Fagherazzi, S. Critical width of tidal flats triggers marsh collapse in the absence of sea-level rise. Proc. Natl Acad. Sci. USA 110, 5353–5356 (2013).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Koppel, J., van de, Wal, D., van der, Bakker, J. P. & Herman, P. M. J. Self‐organization and vegetation collapse in salt marsh ecosystems. Am. Nat. 165, E1–E12 (2005).Article 
    PubMed 

    Google Scholar 
    D’Alpaos, A., Lanzoni, S., Marani, M. & Rinaldo, A. Landscape evolution in tidal embayments: modeling the interplay of erosion, sedimentation, and vegetation dynamics. J. Geophys. Res. Earth Surf. 112, F01008 (2007).Kirwan, M. L. et al. Limits on the adaptability of coastal marshes to rising sea level. Geophys. Res. Lett. 37, L23401 (2010).Larsen, L. G. & Harvey, J. W. How vegetation and sediment transport feedbacks drive landscape change in the everglades and wetlands worldwide. Am. Nat. 176, E66–E79 (2010).Article 
    PubMed 

    Google Scholar 
    Smith, J. A. M. The role of Phragmites australis in mediating inland salt marsh migration in a Mid-Atlantic Estuary. PLoS ONE 8, e65091 (2013).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Mariotti, G., Elsey-Quirk, T., Bruno, G. & Valentine, K. Mud-associated organic matter and its direct and indirect role in marsh organic matter accumulation and vertical accretion. Limnol. Oceanogr. 65, 2627–2641 (2020).Article 
    ADS 
    CAS 

    Google Scholar 
    Ladd, C. J. T., Duggan-Edwards, M. F., Bouma, T. J., Pagès, J. F. & Skov, M. W. Sediment supply explains long-term and large-scale patterns in salt marsh lateral expansion and erosion. Geophys. Res. Lett. 46, 11178–11187 (2019).Article 
    ADS 

    Google Scholar 
    Törnqvist, T. E., Jankowski, K. L., Li, Y.-X. & González, J. L. Tipping points of Mississippi Delta marshes due to accelerated sea-level rise. Sci. Adv. 6, eaaz5512 (2020).Article 
    ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Fagherazzi, S. et al. Numerical models of salt marsh evolution: ecological, geomorphic, and climatic factors. Rev. Geophys. 50, RG1002 (2012). More

  • in

    Predicting metabolomic profiles from microbial composition through neural ordinary differential equations

    Donia, M. S. & Fischbach, M. A. Small molecules from the human microbiota. Science 349, 1254766 (2015).Koh, A., De Vadder, F., Kovatcheva-Datchary, P. & Bäckhed, F. From dietary fiber to host physiology: short-chain fatty acids as key bacterial metabolites. Cell 165, 1332–1345 (2016).Article 

    Google Scholar 
    Koppel, N., Rekdal, V. M. & Balskus, E. P. Chemical transformation of xenobiotics by the human gut microbiota. Science 356, eaag2770 (2017).Myhrstad, M. C., Tunsjø, H., Charnock, C. & Telle-Hansen, V. H. Dietary fiber, gut microbiota, and metabolic regulation—current status in human randomized trials. Nutrients 12, 859 (2020).Article 

    Google Scholar 
    Lin, R., Liu, W., Piao, M. & Zhu, H. A review of the relationship between the gut microbiota and amino acid metabolism. Amino Acids 49, 2083–2090 (2017).Article 

    Google Scholar 
    Tyson, G. W. et al. Community structure and metabolism through reconstruction of microbial genomes from the environment. Nature 428, 37–43 (2004).Article 

    Google Scholar 
    Flint, H. J., Scott, K. P., Louis, P. & Duncan, S. H. The role of the gut microbiota in nutrition and health. Nat. Rev. Gastroenterol. Hepatol. 9, 577–589 (2012).Article 

    Google Scholar 
    Lloyd-Price, J. et al. Multi-omics of the gut microbial ecosystem in inflammatory bowel diseases. Nature 569, 655–662 (2019).Article 

    Google Scholar 
    Yang, Q. et al. Metabolomics biotechnology, applications, and future trends: a systematic review. RSC Adv. 9, 37245–37257 (2019).Article 

    Google Scholar 
    Castelli, F. A. et al. Metabolomics for personalized medicine: the input of analytical chemistry from biomarker discovery to point-of-care tests. Anal. Bioanal. Chem. 414, 759–789 (2022).Article 

    Google Scholar 
    Dias-Audibert, F. L. et al. Combining machine learning and metabolomics to identify weight gain biomarkers. Front. Bioeng. Biotechnol. 8, 6 (2020).Article 

    Google Scholar 
    Zheng, C., Zhang, S., Ragg, S., Raftery, D. & Vitek, O. Identification and quantification of metabolites in 1H NMR spectra by Bayesian model selection. Bioinformatics 27, 1637–1644 (2011).Article 

    Google Scholar 
    Information Resources Management Association. Bioinformatics: Concepts, Methodologies, Tools, and Applications (IGI Global, 2013).Johnson, C. H. & Gonzalez, F. J. Challenges and opportunities of metabolomics. J. Cell. Physiol. 227, 2975–2981 (2012).Article 

    Google Scholar 
    Ayling, M., Clark, M. D. & Leggett, R. M. New approaches for metagenome assembly with short reads. Brief. Bioinform. 21, 584–594 (2020).Article 

    Google Scholar 
    Brumfield, K. D., Huq, A., Colwell, R. R., Olds, J. L. & Leddy, M. B. Microbial resolution of whole genome shotgun and 16S amplicon metagenomic sequencing using publicly available neon data. PLoS ONE 15, e0228899 (2020).Article 

    Google Scholar 
    Garza, D. R., van Verk, M. C., Huynen, M. A. & Dutilh, B. E. Towards predicting the environmental metabolome from metagenomics with a mechanistic model. Nat. Microbiol. 3, 456–460 (2018).Article 

    Google Scholar 
    Noecker, C. et al. Metabolic model-based integration of microbiome taxonomic and metabolomic profiles elucidates mechanistic links between ecological and metabolic variation. MSystems 1, e00013–15 (2016).Article 

    Google Scholar 
    Yin, X. et al. A comparative evaluation of tools to predict metabolite profiles from microbiome sequencing data. Front. Microbiol. 11, 3132 (2020).Article 

    Google Scholar 
    Kettle, H., Louis, P., Holtrop, G., Duncan, S. H. & Flint, H. J. Modelling the emergent dynamics and major metabolites of the human colonic microbiota. Environ. Microbiol. 17, 1615–1630 (2015).Article 

    Google Scholar 
    Quinn, R. A. et al. Niche partitioning of a pathogenic microbiome driven by chemical gradients. Sci. Adv. 4, eaau1908 (2018).Article 

    Google Scholar 
    Wang, T., Goyal, A., Dubinkina, V. & Maslov, S. Evidence for a multi-level trophic organization of the human gut microbiome. PLoS Comput. Biol. 15, e1007524 (2019).Article 

    Google Scholar 
    Goyal, A., Wang, T., Dubinkina, V. & Maslov, S. Ecology-guided prediction of cross-feeding interactions in the human gut microbiome. Nat. Commun. 12, 1335 (2021).Mallick, H. et al. Predictive metabolomic profiling of microbial communities using amplicon or metagenomic sequences. Nat. Commun. 10, 3136 (2019).Article 

    Google Scholar 
    Le, V., Quinn, T. P., Tran, T. & Venkatesh, S. Deep in the bowel: highly interpretable neural encoder–decoder networks predict gut metabolites from gut microbiome. BMC Genom. 21, 256 (2020).Reiman, D., Layden, B. T. & Dai, Y. MiMeNet: exploring microbiome–metabolome relationships using neural networks. PLoS Comput. Biol. 17, e1009021 (2021).Article 

    Google Scholar 
    Morton, J. T. et al. Learning representations of microbe–metabolite interactions. Nat. Methods 16, 1306–1314 (2019).Article 

    Google Scholar 
    Chen, R. T., Rubanova, Y., Bettencourt, J. & Duvenaud, D. Neural ordinary differential equations. In Advances in Neural Information Processing Systems 31, 6572–6583 (NeurIPS, 2018).Lu, Y., Zhong, A., Li, Q. & Dong, B. Beyond finite layer neural networks: bridging deep architectures and numerical differential equations. In International Conference on Machine Learning 3276–3285 (PMLR, 2018).Qiu, C., Bendickson, A., Kalyanapu, J. & Yan, J. Accuracy and architecture studies of residual neural network solving ordinary differential equations. Preprint at arXiv https://doi.org/10.48550/arXiv.2101.03583 (2021).Dutta, S., Rivera-Casillas, P. & Farthing, M. W. Neural ordinary differential equations for data-driven reduced order modeling of environmental hydrodynamics. Preprint at https://doi.org/10.48550/arXiv.2104.13962 (2021).Marsland III, R. et al. Available energy fluxes drive a transition in the diversity, stability, and functional structure of microbial communities. PLoS Comput. Biol. 15, e1006793 (2019).Article 

    Google Scholar 
    Franzosa, E. A. et al. Gut microbiome structure and metabolic activity in inflammatory bowel disease. Nat. Microbiol. 4, 293–305 (2019).Article 

    Google Scholar 
    Swenson, T. L., Karaoz, U., Swenson, J. M., Bowen, B. P. & Northen, T. R. Linking soil biology and chemistry in biological soil crust using isolate exometabolomics. Nat. Commun. 9, 19 (2018).Article 

    Google Scholar 
    Litonjua, A. A. et al. Effect of prenatal supplementation with vitamin D on asthma or recurrent wheezing in offspring by age 3 years: the VDAART randomized clinical trial. JAMA 315, 362–370 (2016).Article 

    Google Scholar 
    Litonjua, A. A. et al. Six-year follow-up of a trial of antenatal vitamin D for asthma reduction. N. Engl. J. Med. 382, 525–533 (2020).Article 

    Google Scholar 
    Lee-Sarwar, K. A. et al. Integrative analysis of the intestinal metabolome of childhood asthma. J. Allergy Clin. Immunol. 144, 442–454 (2019).Article 

    Google Scholar 
    Lee-Sarwar, K. et al. Association of the gut microbiome and metabolome with wheeze frequency in childhood asthma. J. Allergy Clin. Immunol. 147, AB53 (2021).Article 

    Google Scholar 
    Harvard Willett Food Frequency Questionnaire (T.H. Chan School of Public Health, Department of Nutrition, Harvard Univ., 2015).Plan and Operation of the Third National Health and Nutrition Examination Survey, 1988–94 (National Centre for Health Statistics, 1994).Nelson, K. M., Reiber, G. & Boyko, E. J. Diet and exercise among adults with type 2 diabetes: findings from the third National Health and Nutrition Examination Survey (NHANES III). Diabetes Care 25, 1722–1728 (2002).Article 

    Google Scholar 
    Marriott, B. P., Olsho, L., Hadden, L. & Connor, P. Intake of added sugars and selected nutrients in the United States, National Health and Nutrition Examination Survey (NHANES) 2003-2006. Crit. Rev. Food Sci. Nutr. 50, 228–258 (2010).Article 

    Google Scholar 
    Moshfegh, A. Food and Nutrient Database for Dietary Studies (US Department of Agriculture, Agricultural Research Service, Food Surveys Research Group, 2022); http://www.ars.usda.gov/nea/bhnrc/fsrgRidlon, J. M., Kang, D.-J. & Hylemon, P. B. Bile salt biotransformations by human intestinal bacteria. J. Lipid Res. 47, 241–259 (2006).Article 

    Google Scholar 
    Bachmann, V. et al. Bile salts modulate the mucin-activated type VI secretion system of pandemic Vibrio cholerae. PLoS Negl. Trop. Dis. 9, e0004031 (2015).Article 

    Google Scholar 
    Ramírez-Pérez, O., Cruz-Ramón, V., Chinchilla-López, P. & Méndez-Sánchez, N. The role of the gut microbiota in bile acid metabolism. Ann. Hepatol. 16, 21–26 (2018).Article 

    Google Scholar 
    Jia, W., Xie, G. & Jia, W. Bile acid-microbiota crosstalk in gastrointestinal inflammation and carcinogenesis. Nat. Rev. Gastroenterol. Hepatol. 15, 111–128 (2018).Article 

    Google Scholar 
    Heinken, A. et al. Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease. Microbiome 7, 75 (2019).Duboc, H. et al. Connecting dysbiosis, bile-acid dysmetabolism and gut inflammation in inflammatory bowel diseases. Gut 62, 531–539 (2013).Article 

    Google Scholar 
    Thomas, J. P., Modos, D., Rushbrook, S. M., Powell, N. & Korcsmaros, T. The emerging role of bile acids in the pathogenesis of inflammatory bowel disease. Front. Immunol. 13, 246 (2022).Kristal, A. R., Peters, U. & Potter, J. D. Is it time to abandon the food frequency questionnaire? Cancer Epidemiol. Biomarkers Prev. 14, 2826–2828 (2005).Article 

    Google Scholar 
    Scalbert, A. et al. The food metabolome: a window over dietary exposure. Am. J. Clin. Nutr. 99, 1286–1308 (2014).Article 

    Google Scholar 
    Bolyen, E. et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 37, 852–857 (2019).Article 

    Google Scholar 
    Callahan, B. J. et al. DADA: high-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).Article 

    Google Scholar 
    Evans, A. M. et al. High resolution mass spectrometry improves data quantity and quality as compared to unit mass resolution mass spectrometry in high-throughput profiling metabolomics. Metabolomics 4, 1 (2014).
    Google Scholar 
    Blum, R. E. et al. Validation of a food frequency questionnaire in Native American and Caucasian children 1 to 5 years of age. Matern. Child Health J. 3, 167–172 (1999).Article 

    Google Scholar 
    Kingma, D. P. & Ba, J. Adam: a method for stochastic optimization. Preprint at https://doi.org/10.48550/arXiv.1412.6980 (2014).Wang, T. wt1005203/mnode: initial release. Zenodo https://doi.org/10.5281/zenodo.7602940 (2023). More

  • in

    Higher productivity in forests with mixed mycorrhizal strategies

    Liang, J. et al. Positive biodiversity-productivity relationship predominant in global forests. Science 354, aaf8957 (2016).Article 
    PubMed 

    Google Scholar 
    Huang, Y. et al. Impacts of species richness on productivity in a large-scale subtropical forest experiment. Science 362, 80–83 (2018).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Luo, S. et al. Community‐wide trait means and variations affect biomass in a biodiversity experiment with tree seedlings. Oikos 129, 799–810 (2020).Article 

    Google Scholar 
    Pérez-Harguindeguy, N. et al. New handbook for standardised measurement of plant functional traits worldwide. Aust. J. Bot. 61, 167–234 (2013).Article 

    Google Scholar 
    Bergmann, J. et al. The fungal collaboration gradient dominates the root economics space in plants. Sci. Adv. 6, 1–10 (2020).Article 

    Google Scholar 
    Freschet, G. T. et al. Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs. N. Phytol. 232, 1123–1158 (2021).Article 

    Google Scholar 
    Zhong, Y. et al. Arbuscular mycorrhizal trees influence the latitudinal beta-diversity gradient of tree communities in forests worldwide. Nat. Commun. 12, 1–12 (2021).Article 
    ADS 

    Google Scholar 
    Carteron, A., Vellend, M. & Laliberté, E. Mycorrhizal dominance reduces local tree species diversity across US forests. Nat. Ecol. Evol. 6, 370–374 (2022).Article 
    PubMed 

    Google Scholar 
    Phillips, R. P., Brzostek, E. & Midgley, M. G. The mycorrhizal‐associated nutrient economy: a new framework for predicting carbon–nutrient couplings in temperate forests. N. Phytol. 199, 41–51 (2013).Article 
    CAS 

    Google Scholar 
    Averill, C., Turner, B. L. & Finzi, A. C. Mycorrhiza-mediated competition between plants and decomposers drives soil carbon storage. Nature 505, 543–545 (2014).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Craig, M. E. et al. Tree mycorrhizal type predicts within‐site variability in the storage and distribution of soil organic matter. Glob. Chang. Biol. 24, 3317–3330 (2018).Article 
    ADS 
    PubMed 

    Google Scholar 
    van der Heijden, M. G. A. et al. Mycorrhizal fungal diversity determines plant biodiversity, ecosystem variability and productivity. Nature 396, 69–72 (1998).Article 
    ADS 

    Google Scholar 
    Klironomos, J. N., McCune, J., Hart, M. & Neville, J. The influence of arbuscular mycorrhizae on the relationship between plant diversity and productivity. Ecol. Lett. 3, 137–141 (2000).Article 

    Google Scholar 
    Wagg, C., Jansa, J., Stadler, M., Schmid, B. & Van Der Heijden, M. G. A. Mycorrhizal fungal identity and diversity relaxes plant-plant competition. Ecology 92, 1303–1313 (2011).Article 
    PubMed 

    Google Scholar 
    Luo, S., Schmid, B., De Deyn, G. B. & Yu, S. Soil microbes promote complementarity effects among co‐existing trees through soil nitrogen partitioning. Funct. Ecol. 32, 1879–1889 (2018).Article 

    Google Scholar 
    Ferlian, O. et al. Mycorrhiza in tree diversity–ecosystem function relationships: conceptual framework and experimental implementation. Ecosphere 9, e02226 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Tedersoo, L. & Bahram, M. Mycorrhizal types differ in ecophysiology and alter plant nutrition and soil processes. Biol. Rev. 94, 1857–1880 (2019).Article 
    PubMed 

    Google Scholar 
    Rineau, F. et al. The ectomycorrhizal fungus Paxillus involutus converts organic matter in plant litter using a trimmed brown-rot mechanism involving Fenton chemistry. Environ. Microbiol. 14, 1477–1487 (2012).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Lindahl, B. D. & Tunlid, A. Ectomycorrhizal fungi – potential organic matter decomposers, yet not saprotrophs. N. Phytol. 205, 1443–1447 (2015).Article 
    CAS 

    Google Scholar 
    Hodge, A. Arbuscular mycorrhizal fungi influence decomposition of, but not plant nutrient capture from, glycine patches in soil. N. Phytol. 151, 725–734 (2001).Article 
    CAS 

    Google Scholar 
    Read, D. J. & Perez-Moreno, J. Mycorrhizas and nutrient cycling in ecosystems – A journey towards relevance? N. Phytol. 157, 475–492 (2003).Article 
    CAS 

    Google Scholar 
    Toju, H., Kishida, O., Katayama, N. & Takagi, K. Networks depicting the fine-scale co-occurrences of fungi in soil horizons. PLoS ONE 11, 1–18 (2016).Article 

    Google Scholar 
    Taylor, D. L. et al. A first comprehensive census of fungi in soil reveals both hyperdiversity and fine-scale niche partitioning. Ecol. Monogr. 84, 3–20 (2014).Article 

    Google Scholar 
    Chen, W. et al. Root morphology and mycorrhizal symbioses together shape nutrient foraging strategies of temperate trees. Proc. Natl Acad. Sci. USA 113, 8741–8746 (2016).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Liu, X. et al. Partitioning of soil phosphorus among arbuscular and ectomycorrhizal trees in tropical and subtropical forests. Ecol. Lett. 21, 713–723 (2018).Article 
    PubMed 

    Google Scholar 
    Averill, C., Bhatnagar, J. M., Dietze, M. C., Pearse, W. D. & Kivlin, S. N. Global imprint of mycorrhizal fungi on whole-plant nutrient economics. Proc. Natl Acad. Sci. USA 116, 23163–23168 (2019).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Dietrich, P. et al. Tree diversity effects on productivity depend on mycorrhizae and life strategies in a temperate forest experiment. Ecology 104, e3896 https://doi.org/10.1002/ecy.3896 (2022).Averill, C., Dietze, M. C. & Bhatnagar, J. M. Continental-scale nitrogen pollution is shifting forest mycorrhizal associations and soil carbon stocks. Glob. Chang. Biol. 24, 4544–4553 (2018).Article 
    ADS 
    PubMed 

    Google Scholar 
    Jo, I., Fei, S., Oswalt, C. M., Domke, G. M. & Phillips, R. P. Shifts in dominant tree mycorrhizal associations in response to anthropogenic impacts. Sci. Adv. 5, eaav6358, (2019).Fei, S. et al. Impacts of climate on the biodiversity-productivity relationship in natural forests. Nat. Commun. 9, 5436 (2018).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Bongers, F. J. et al. Functional diversity effects on productivity increase with age in a forest biodiversity experiment. Nat. Ecol. Evol. 5, 1594–1603 (2021).Article 
    PubMed 

    Google Scholar 
    Schoener, T. W. Resource partitioning in ecological communities. Science 185, 27–39 (1974).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Tilman, D., Lehman, C. L. & Thomson, K. T. Plant diversity and ecosystem productivity: theoretical considerations. Proc. Natl Acad. Sci. USA 94, 1857–1861 (1997).Article 
    ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Schwilk, D. W. & Ackerly, D. D. Limiting similarity and functional diversity along environmental gradients. Ecol. Lett. 8, 272–281 (2005).Article 

    Google Scholar 
    Wagg, C., Jansa, J., Schmid, B. & van der Heijden, M. G. A. Belowground biodiversity effects of plant symbionts support aboveground productivity. Ecol. Lett. 14, 1001–1009 (2011).Article 
    PubMed 

    Google Scholar 
    Agerer, R. Exploration types of ectomycorrhizae: a proposal to classify ectomycorrhizal mycelial systems according to their patterns of differentiation and putative ecological importance. Mycorrhiza 11, 107–114 (2001).Article 

    Google Scholar 
    Cheng, L. et al. Mycorrhizal fungi and roots are complementary in foraging within nutrient patches. Ecology 97, 2815–2823 (2016).Article 
    PubMed 

    Google Scholar 
    Wambsganss, J. et al. Tree species mixing causes a shift in fine-root soil exploitation strategies across European forests. Funct. Ecol. 35, 1886–1902 (2021).Article 
    CAS 

    Google Scholar 
    Gerz, M., Guillermo Bueno, C., Ozinga, W. A., Zobel, M. & Moora, M. Niche differentiation and expansion of plant species are associated with mycorrhizal symbiosis. J. Ecol. 106, 254–264 (2018).Article 
    CAS 

    Google Scholar 
    Niklaus, P. A., Baruffol, M., He, J. S., Ma, K. & Schmid, B. Can niche plasticity promote biodiversity–productivity relationships through increased complementarity? Ecology 98, 1104–1116 (2017).Article 
    PubMed 

    Google Scholar 
    Barry, K. E. et al. The future of complementarity: disentangling causes from consequences. Trends Ecol. Evol. 34, 167–180 (2019).Article 
    PubMed 

    Google Scholar 
    Jacobs, L. M., Sulman, B. N., Brzostek, E. R., Feighery, J. J. & Phillips, R. P. Interactions among decaying leaf litter, root litter and soil organic matter vary with mycorrhizal type. J. Ecol. 106, 502–513 (2018).Article 
    CAS 

    Google Scholar 
    Midgley, M. G., Brzostek, E. & Phillips, R. P. Decay rates of leaf litters from arbuscular mycorrhizal trees are more sensitive to soil effects than litters from ectomycorrhizal trees. J. Ecol. 103, 1454–1463 (2015).Article 

    Google Scholar 
    Kumar, A., Phillips, R. P., Scheibe, A., Klink, S. & Pausch, J. Organic matter priming by invasive plants depends on dominant mycorrhizal association. Soil Biol. Biochem. 140, 107645 (2020).Article 
    CAS 

    Google Scholar 
    Tedersoo, L., Bahram, M. & Zobel, M. How mycorrhizal associations drive plant population and community biology. Science 367, eaba1223 (2020).Article 
    CAS 
    PubMed 

    Google Scholar 
    Kitajima, K. & Poorter, L. Functional basis for resource niche partitioning by tropical trees. Trop. For. community Ecol. 1936, 160–181 (2008).MacArthur, R. H. Patterns of species diverstiy. Biol. Rev. 40, 510–533 (1965).Article 

    Google Scholar 
    Pellissier, V., Barnagaud, J. Y., Kissling, W. D., Şekercioğlu, Ç. & Svenning, J. C. Niche packing and expansion account for species richness–productivity relationships in global bird assemblages. Glob. Ecol. Biogeogr. 27, 604–615 (2018).Article 

    Google Scholar 
    Huang, Y. et al. Effects of enemy exclusion on biodiversity–productivity relationships in a subtropical forest experiment. J. Ecol. 110, 2167–2178. https://doi.org/10.1111/1365-2745.13940 (2022).Tilman, D. Community invasibility, recruitment limitation, and grassland biodiversity. Ecology 78, 81–92 (1997).Article 

    Google Scholar 
    Feng, Y. et al. Multispecies forest plantations outyield monocultures across a broad range of conditions. Science 376, 865–868 (2022).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Harper, J. L. Population biology of plants. (1977).Ewel, J. J. Designing agricultural ecosystems for the humid tropics. Annu. Rev. Ecol. Syst. 17, 245–271 (1986).Article 

    Google Scholar 
    Grossiord, C. Having the right neighbors: how tree species diversity modulates drought impacts on forests. N. Phytol. 228, 42–49 (2020).Article 

    Google Scholar 
    Allen, M. F. Mycorrhizal fungi: highways for water and nutrients in arid soils. Vadose Zo. J. 6, 291–297 (2007).Article 

    Google Scholar 
    Brzostek, E. R. et al. Chronic water stress reduces tree growth and the carbon sink of deciduous hardwood forests. Glob. Chang. Biol. 20, 2531–2539 (2014).Article 
    ADS 
    PubMed 

    Google Scholar 
    Liese, R., Lübbe, T., Albers, N. W. & Meier, I. C. The mycorrhizal type governs root exudation and nitrogen uptake of temperate tree species. Tree Physiol. 38, 83–95 (2018).Article 
    CAS 
    PubMed 

    Google Scholar 
    Steidinger, B. S. et al. Climatic controls of decomposition drive the global biogeography of forest-tree symbioses. Nature 569, 404–408 (2019).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Linton, M. J., Sperry, J. S. & Williams, D. G. Limits to water transport in Juniperus osteosperma and Pinus edulis: Implications for drought tolerance and regulation of transpiration. Funct. Ecol. 12, 906–911 (1998).Article 

    Google Scholar 
    Johnson, D. M. et al. Co-occurring woody species have diverse hydraulic strategies and mortality rates during an extreme drought. Plant. Cell Environ. 41, 576–588 (2018).Article 
    CAS 
    PubMed 

    Google Scholar 
    Lin, G. et al. Mycorrhizal associations of tree species influence soil nitrogen dynamics via effects on soil acid–base chemistry. Glob. Ecol. Biogeogr. 31, 168–182 (2022).Article 

    Google Scholar 
    Read, D. J. Mycorrhizas in ecosystems. Experientia 47, 376–391 (1991).Article 

    Google Scholar 
    Hobbie, S. E. Plant species effects on nutrient cycling: revisiting litter feedbacks. Trends Ecol. Evol. 30, 357–363 (2015).Article 
    PubMed 

    Google Scholar 
    De Schrijver, A. et al. Tree species traits cause divergence in soil acidification during four decades of postagricultural forest development. Glob. Chang. Biol. 18, 1127–1140 (2012).Article 
    ADS 

    Google Scholar 
    Loreau, M. & Hector, A. Partitioning selection and complementarity in biodiversity experiments. Nature 412, 72–76 (2001).Article 
    ADS 
    CAS 
    PubMed 

    Google Scholar 
    Braghiere, R. K. et al. Modeling global carbon costs of plant nitrogen and phosphorus acquisition. J. Adv. Model. Earth Syst. 14, 1–23 (2022).Article 

    Google Scholar 
    Eisenhauer, N. et al. Biotic interactions as mediators of context-dependent biodiversity-ecosystem functioning relationships. Res. Ideas Outcomes 8, e85873 (2022).Article 

    Google Scholar 
    Fisher, J. B. et al. Tree-mycorrhizal associations detected remotely from canopy spectral properties. Glob. Chang. Biol. 22, 2596–2607 (2016).Article 
    ADS 
    PubMed 

    Google Scholar 
    Soudzilovskaia, N. A. et al. Global mycorrhizal plant distribution linked to terrestrial carbon stocks. Nat. Commun. 10, 1–10 (2019).Article 
    CAS 

    Google Scholar 
    Burrill, E. A. et al. The forest inventory and analysis database. USDA . Serv. 2, 1026 (2015).
    Google Scholar 
    Chao, A., Chiu, C.-H. & Jost, L. Unifying species diversity, phylogenetic diversity, functional diversity, and related similarity and differentiation measures through hill numbers. Annu. Rev. Ecol. Evol. Syst. 45, 297–324 (2014).Article 

    Google Scholar 
    Cleland, D. T. et al. Ecological subregions: Sections and subsections for the conterminous United States. Gen. Tech. Rep. WO-76D (2007).Soudzilovskaia, N. A. et al. FungalRoot: global online database of plant mycorrhizal associations. N. Phytol. 227, 955–966 (2020).Article 

    Google Scholar 
    Gallion, J. et al. Indiana DNR State Forest Properties Report of Continuous Forest Inventory (CFI) Summary of years 2015–2019. 1–25 (2020).Dormann, C. F. et al. Methods to account for spatial autocorrelation in the analysis of species distributional data: a review. Ecography 30, 609–628 (2007).Article 

    Google Scholar 
    Craven, D. et al. A cross-scale assessment of productivity–diversity relationships. Glob. Ecol. Biogeogr. 29, 1940–1955 (2020).Article 

    Google Scholar 
    Paquette, A. & Messier, C. The effect of biodiversity on tree productivity: from temperate to boreal forests. Glob. Ecol. Biogeogr. 20, 170–180 (2011).Article 

    Google Scholar 
    R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/ (2020).Dowle, M. & Srinivasan, A. data.table: Extension of ‘data.frame‘. R package version 1.14.2 (2021).Wickham, H. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.Kassambara, A. ggpubr: ‘ggplot2’ Based Publication Ready Plots. R package version 0.4.0 (2020).Dunnington, D. ggspatial: Spatial Data Framework for ggplot2. R package version 1.1.5 (2021).Robert, J. Hijmans. raster: Geographic Data Analysis and Modeling. R package version 3.5-2 (2021).Wickham, H., François, R., Henry, L. & Müller, K. dplyr: A Grammar of Data Manipulation. R package version 1.0.8 (2022).Bates, D., Maechler, M., Bolker, B. & Walker, S. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).Article 

    Google Scholar 
    Lefcheck, J. S. piecewiseSEM: piecewise structural equation modeling in R for ecology, evolution, and systematics. Methods Ecol. Evol. 7, 573–579 (2016).Article 

    Google Scholar 
    Luo, S. et al. High productivity in forests with mixed mycorrhizal strategies. Figshare https://doi.org/10.6084/m9.figshare.22060238. (2023). More

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    Unexpected fishy microbiomes

    Authors and AffiliationsCenter for Evolutionary Hologenomics, Globe Institute, University of Copenhagen, Copenhagen, DenmarkMorten T. Limborg & Jacob A. RasmussenSanger Institute, Wellcome Trust Genome Campus, Hinxton, UKPhysilia Y. S. ChuaAuthorsMorten T. LimborgPhysilia Y. S. ChuaJacob A. RasmussenCorresponding authorsCorrespondence to
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    Impact of Pacific Ocean heatwaves on phytoplankton community composition

    Di Lorenzo, E. & Mantua, N. Multi-year persistence of the 2014/15 North Pacific marine heatwave. Nat. Clim. Change 6, 1042–1047 (2016).Article 

    Google Scholar 
    Bond, N. A., Cronin, M. F., Freeland, H. & Mantua, N. Causes and impacts of the 2014 warm anomaly in the NE Pacific. Geophys. Res. Lett. 42, 3414–3420 (2015).Article 

    Google Scholar 
    Blunden, J. & Arndt, D. S. State of the Climate in 2015. Bull. Am. Meteorol. Soc. 97, s1–s275 (2016).Article 

    Google Scholar 
    Santoso, A., Mcphaden, M. J. & Cai, W. The Defining Characteristics of ENSO Extremes and the Strong 2015/2016 El Niño. Rev. Geophys. 55, 1079–1129 (2017).Article 

    Google Scholar 
    Amaya, D. J., Miller, A. J., Xie, S.-P. & Kosaka, Y. Physical drivers of the summer 2019 North Pacific marine heatwave. Nat. Commun. 11. https://doi.org/10.1038/s41467-020-15820-w (2020).Frölicher, T. L., Fischer, E. M. & Gruber, N. Marine heatwaves under global warming. Nature 560, 360–364 (2018).Laufkötter, C., Zscheischler, J. & Frölicher, T. L. High-impact marine heatwaves attributable to human-induced global warming. Science 369, 1621–1625 (2020).Article 
    PubMed 

    Google Scholar 
    Piatt, J. F. et al. Extreme mortality and reproductive failure of common murres resulting from the northeast Pacific marine heatwave of 2014-2016. PLOS ONE 15, 1–32 (2020).Article 

    Google Scholar 
    Savage, K. Alaska and British Columbia large whale unusual mortality event summary report. NOAA Affiliate Protected Resources Division, NOAA Fisheries Juneau, AK. https://repository.library.noaa.gov/view/noaa/17715 (2017).Cavole, L. M. et al. Biological Impacts of the 2013-2015 Warm-Water Anomaly in the Northeast Pacific: Winners, Losers, and the Future. Oceanography 29, 273–285 (2016).Article 

    Google Scholar 
    Barbeaux, S. et al. Chapter 2: assessment of the pacific cod stock in the Gulf of Alaska. North Pacific Fish Manag. Counc. Gulf Alaska Stock Assess. Fish Eval. Rep. 140. https://archive.afsc.noaa.gov/refm/docs/2019/GOApcod.pdf (2019).Arimitsu, M. L. et al. Heatwave-induced synchrony within forage fish portfolio disrupts energy flow to top pelagic predators. Glob. Change Biol. 27, 1859–1878 (2021).Article 
    CAS 

    Google Scholar 
    Leising, A. W. et al. State of the California Current 2014-15: Impacts of the Warm-Water “Blob”. CalCOFI Rep. 56, 31–68 (2015).
    Google Scholar 
    Chandler, P. & Yoo, S. Marine Ecosystems of the North Pacific Ocean 2009-2016: Synthesis Report. PICES Spec. Publ. 7, 1–82 (2021).
    Google Scholar 
    Peterson, W. et al. Ocean Ecosystem Indicators of Salmon Marine Survival in the Northern California Current. NOAA Northwest Fishery Science Center1-94. http://www.nwfsc.noaa.gov/research/divisions/fe/estuarine/oeip/documents/Peterson_etal_2015.pdf (2015).Volk, T. & Hoffert, M. Ocean carbon pumps: analysis of relative strengths and efficiencies in ocean-driven atmospheric CO2 changes. In Sundquist, E. & Broecker, W. (eds.) The carbon cycle and atmospheric CO2 : natural variations Archean to present. Chapman conference papers, 1984, 99–110 (American Geophysical Union; Geophysical Monograph 32, 1985).Whitney, F. A. Anomalous winter winds decrease 2014 transition zone productivity in the NE Pacific. Geophys. Res. Lett. 42, 428–431 (2015).Article 

    Google Scholar 
    McCabe, R. M. et al. An unprecedented coastwide toxic algal bloom linked to anomalous ocean conditions. Geophys. Res. Lett. 43, 10366–10376 (2016).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Du, X., Peterson, W., Fisher, J., Hunter, M. & Peterson, J. Initiation and Development of a Toxic and Persistent Pseudo-nitzschia Bloom off the Oregon Coast in Spring/Summer 2015. PLOS ONE 11, 1–17 (2016).Article 

    Google Scholar 
    Du, X. & Peterson, W. T. Phytoplankton community structure in 2011-2013 compared to the extratropical warming event of 2014-2015. Geophys. Res. Lett. 45, 1534–1540 (2018).Article 

    Google Scholar 
    Peña, M. AandNemcek,NandRobert,M. Phytoplankton responses to the 2014-2016 warming anomaly in the northeast subarctic Pacific Ocean. Limnol. Oceanogr. 64, 515–525 (2019).Article 

    Google Scholar 
    Barth, A., Walter, R. K., Robbins, I. & Pasulka, A. Seasonal and interannual variability of phytoplankton abundance and community composition on the Central Coast of California. Mar. Ecol. Prog. Ser. 637, 29–43 (2020).Article 
    CAS 

    Google Scholar 
    Batten, S. D., Ostle, C., Hélaouët, P. & Walne, A. W. Responses of Gulf of Alaska plankton communities to a marine heat wave. Deep Sea Res. Part II: Topical Stud. Oceanogr. 195, 105002 (2022).Article 

    Google Scholar 
    Johnstone, J. A. & Mantua, N. J. Atmospheric controls on northeast Pacific temperature variability and change, 1900–2012. Proc. Natl Acad. Sci. 111, 14360–14365 (2014).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gregg, W. W. & Rousseaux, C. S. Global ocean primary production trends in the modern ocean color satellite record (1998–2015). Environ. Res. Lett. 14, 124011 (2019).Article 
    CAS 

    Google Scholar 
    Hamme, R. C. et al. Volcanic ash fuels anomalous plankton bloom in subarctic northeast Pacific. Geophys. Res. Lett. 37. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2010GL044629. https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2010GL044629 (2010).Rousseaux, C. S. & Gregg, W. W. Climate variability and phytoplankton composition in the Pacific Ocean. J. Geophys. Res. Oceans 117. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2012JC008083. https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2012JC008083 (2012).Lewing, J. Silicification. In Lewin, R. (ed.) Physiology and biochemistry of algae, 445 – 455 (Academic Press, New York, 1962).Pančić, M., Torres, R. R., Almeda, R. & Kiørboe, T. Silicified cell walls as a defensive trait in diatoms. Proc. R. Soc. B: Biol. Sci. 286, 20190184 (2019).Article 

    Google Scholar 
    Kröger, N. & Poulsen, N. Diatoms—from cell wall biogenesis to nanotechnology. Annu. Rev. Genet. 42, 83–107 (2008).Article 
    PubMed 

    Google Scholar 
    Miklasz, K. A. & Denny, M. W. Diatom sinkings speeds: Improved predictions and insight from a modified stokes’ law. Limnol. Oceanogr. 55, 2513–2525 (2010).Article 

    Google Scholar 
    Nishioka, J. et al. Subpolar marginal seas fuel the North Pacific through the intermediate water at the termination of the global ocean circulation. Proc. Natl Acad. Sci. 117, 12665–12673 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Nishioka, J. et al. A review: iron and nutrient supply in the subarctic Pacific and its impact on phytoplankton production. J. Oceanogr. 77, 561–587 (2021).Article 
    CAS 

    Google Scholar 
    Dave, A. C. & Lozier, M. S. The impact of advection on stratification and chlorophyll variability in the equatorial Pacific. Geophys. Res. Lett. 42, 4523–4531 (2015).Article 

    Google Scholar 
    JA, B. Atmospheric teleconnections from the equatorial Pacific. Monthly Weather Rev. 97, 163–172 (1969).Article 

    Google Scholar 
    Martin, J. H. & Fitzwater, S. E. Iron deficiency limits phytoplankton growth in the north-east Pacific subarctic. Nature 331, 341 – 343 (1988).Article 

    Google Scholar 
    Ryther, J. H. Photosynthesis and fish production in the sea. Science 166, 72–76 (1969).Article 
    CAS 
    PubMed 

    Google Scholar 
    Smetacek, V. Diatoms and the ocean carbon cycle. Protist 150, 25–32 (1999).Article 
    CAS 
    PubMed 

    Google Scholar 
    Chavez, F. P., Buck, K. R. & Barber, R. T. Phytoplankton taxa in relation to primary production in the equatorial Pacific. Deep Sea Res. Part A Oceanogr. Res. Pap. 37, 1733–1752 (1990).Article 

    Google Scholar 
    Uitz, J., Claustre, H., Gentili, B. & Stramski, D. Phytoplankton class-specific primary production in the world’s oceans: Seasonal and interannual variability from satellite observations. Glob. Biogeochem. Cycles 24. https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2009GB003680 (2010).Strutton, P. G. & Chavez, F. P. Primary productivity in the equatorial Pacific during the 1997-1998 El Niño. J. Geophys. Res. Oceans 105, 26089–26101 (2000).Article 

    Google Scholar 
    Ondrusek, M. E., Bidigare, R. R., Sweet, S. T., Defreitas, D. A. & Brooks, J. M. Distribution of phytoplankton pigments in the north pacific ocean in relation to physical and optical variability. Deep Sea Res. Part A. Oceanogr. Res. Pap. 38, 243–266 (1991).Article 
    CAS 

    Google Scholar 
    Behrenfeld, M. J., Bale, A. J., Kolber, Z. S., Aiken, J. & Falkowski, P. G. Confirmation of iron limitation of phytoplankton in the equatorial Pacific Ocean. Nature 383, 508–511 (1996).Article 
    CAS 

    Google Scholar 
    Barber, R. T. & Chavez, F. P. Regulation of primary productivity rate in the equatorial Pacific. Limnol. Oceanogr. 36, 1803–1815 (1991).Article 

    Google Scholar 
    Coale, K. H., Fitzwater, S. E., Gordon, R. M., Johnson, K. S. & Barber, R. T. Control of community growth and export production by upwelled iron in the equatorial Pacific Ocean. Nature 379, 621–624 (1996).Article 
    CAS 

    Google Scholar 
    Dugdale, R. C. & Wilkerson, F. P. Silicate regulation of new production in the equatorial Pacific upwelling. Nature 391, 270–273 (1998).Article 
    CAS 

    Google Scholar 
    Le Grix, N., Zscheischler, J., Laufkötter, C., Rousseaux, C. S. & Frölicher, T. L. Compound high-temperature and low-chlorophyll extremes in the ocean over the satellite period. Biogeosciences 18, 2119–2137 (2021).Article 

    Google Scholar 
    Behrenfeld, M. J. & Boss, E. S. Resurrecting the ecological underpinnings of ocean plankton blooms. Annu. Rev. Mar. Sci. 6, 167–194 (2014).Article 

    Google Scholar 
    Gregg, W. W. & Casey, N. W. Modeling coccolithophores in the global oceans. Deep Sea Res. Part II: Topical Stud. Oceanogr. 54, 447–477 (2007). The Role of Marine Organic Carbon and Calcite Fluxes in Driving Global Climate Change, Past and Future.Article 

    Google Scholar 
    Wang, B. et al. Historical change of El Niño properties sheds light on future changes of extreme El Niño. Proc. Natl Acad. Sci. 116, 22512–22517 (2019).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Cai, W. et al. Increasing frequency of extreme El Niño events due to greenhouse warming. Nat. Clim. Change 4, 111–116 (2014).Article 

    Google Scholar 
    Jackson, T., Bouman, H. A., Sathyendranath, S. & Devred, E. Regional-scale changes in diatom distribution in the Humboldt upwelling system as revealed by remote sensing: implications for fisheries. ICES J. Mar. Sci. 68, 729–736 (2011).Article 

    Google Scholar 
    Suryan, R. M. et al. Ecosystem response persists after a prolonged marine heatwave. Sci. Rep. 11, 6235–6252 (2021).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Glantz, M. H. Currents of change: impacts of El Ninño and La Ninña on climate and society. (Cambridge University Press, Cambridge, United Kingdom, 2001).
    Google Scholar 
    Arteaga, L. A., Boss, E., Behrenfeld, M. J., Westberry, T. K. & Sarmiento, J. L. Seasonal modulation of phytoplankton biomass in the Southern Ocean. Nat. Commun. 11, 5364 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Behrenfeld, M. J., Doney, S. C., Lima, I., Boss, E. S. & Siegel, D. A. Annual cycles of ecological disturbance and recovery underlying the subarctic Atlantic spring plankton bloom. Glob. Biogeochem. Cycles 27, 526–540 (2013).Article 
    CAS 

    Google Scholar 
    Gelaro, R. et al. The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). J. Clim. 30, 5419–5454 (2017).Article 

    Google Scholar 
    Schopf, P. S. & Loughe, A. A Reduced-Gravity Isopycnal Ocean Model: Hindcasts of El Niño. Monthly Weather Rev. 123, 2839–2863 (1995).Article 

    Google Scholar 
    Rienecker, M. M. et al. MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications. J. Clim. 24, 3624–3648 (2011).Article 

    Google Scholar 
    Gregg, W. W. & Casey, N. W. Skill assessment of a spectral ocean-atmosphere radiative model. J. Mar. Syst. 76, 49–63 (2009). Skill assessment for coupled biological/physical models of marine systems.Article 

    Google Scholar 
    Eppley, R. W. Temperature and phytoplankton growth in the sea. Fish. Bull. 70, 1063–1085 (1972).
    Google Scholar 
    Csanady, G. T. Mass transfer to and from small particles in the sea. Limnol. Oceanogr. 31, 237–248 (1986).Article 
    CAS 

    Google Scholar 
    McGillicuddy, D. J., McCarthy, J. J. & Robinson, A. R. Coupled physical and biological modeling of the spring bloom in the North Atlantic (I): Model formulation and one dimensional bloom processes. Deep-Sea Res. 42, 1313–1357 (1995).Article 
    CAS 

    Google Scholar 
    Greene, C. A. et al. The climate data toolbox for matlab. Geochem. Geophys. Geosyst. 20, 3774–3781 (2019).Article 

    Google Scholar 
    Morel, A. et al. Examining the consistency of products derived from various ocean color sensors in open ocean (case 1) waters in the perspective of a multi-sensor approach. Remote Sens. Environ. 111, 69 – 88 (2007).Article 

    Google Scholar 
    Gregg, W. W. Assimilation of seawifs ocean chlorophyll data into a three-dimensional global ocean model. J. Mar. Syst. 69, 205–225 (2008). Physical-Biological Interactions in the Upper Ocean.Article 

    Google Scholar 
    Conkright, M. E. et al. World Ocean Atlas 2001. Volume 4, Nutrients. In NOAA atlas NESDIS ; 52, vol. 4, 392 (US Government Printing Office, Washington, DC, 2002). https://repository.library.noaa.gov/view/noaa/1102.Fung, I. Y. et al. Iron supply and demand in the upper ocean. Glob. Biogeochemical Cycles 14, 281–295 (2000).Article 
    CAS 

    Google Scholar 
    Gregg, W. W., Ginoux, P., Schopf, P. S. & Casey, N. W. Phytoplankton and iron: validation of a global three-dimensional ocean biogeochemical model. Deep Sea Res. Part II: Topical Stud. Oceanogr. 50, 3143–3169 (2003). The US JGOFS Synthesis and Modeling Project: Phase II.Article 
    CAS 

    Google Scholar 
    Rousseaux, C. S. & Gregg, W. W. Recent decadal trends in global phytoplankton composition. Glob. Biogeochem. Cycles 29, 1674–1688 (2015).Article 
    CAS 

    Google Scholar  More