Ecology

Misra, V. K. & Draper, D. E. On the role of magnesium ions in RNA stability. Biopolymers 48, 113–135 (1998).CAS 
PubMed 
Article 

Google Scholar 
Apell, H.-J., Hitzler, T. & Schreiber, G. Modulation of the Na, K-ATPase by magnesium ions. Biochemistry 56, 1005–1016 (2017).CAS 
PubMed 
Article 

Google Scholar 
Iseri, L. T. & French, J. H. Magnesium: Nature’s physiologic calcium blocker. Am. Heart J. 108, 188–193 (1984).CAS 
PubMed 
Article 

Google Scholar 
Rubin, H. Central role for magnesium in coordinate control of metabolism and growth in animal cells. Proc. Natl. Acad. Sci. USA 72, 3551–3555 (1975).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
de Baaij, J. H. F., Hoenderop, J. G. J. & Bindels, R. J. M. Magnesium in man: Implications for health and disease. Physiol. Rev. 95, 1–46 (2015).PubMed 
Article 
CAS 

Google Scholar 
Association, A. D. Diagnosis and classification of diabetes mellitus. Diabetes Care 37, S81–S90 (2014).Article 

Google Scholar 
Chatterjee, S., Khunti, K. & Davies, M. J. Type 2 diabetes. Lancet 389, 2239–2251 (2017).CAS 
PubMed 
Article 

Google Scholar 
Gommers, L. M. M., Hoenderop, J. G. J., Bindels, R. J. M. & de Baaij, J. H. F. Hypomagnesemia in type 2 diabetes: A vicious circle?. Diabetes 65, 3–13 (2016).CAS 
PubMed 
Article 

Google Scholar 
Pham, P.-C.T., Pham, P.-M.T., Pham, S. V., Miller, J. M. & Pham, P.-T.T. Hypomagnesemia in patients with type 2 diabetes. Clin. J. Am. Soc. Nephrol. 2, 366–373 (2007).CAS 
PubMed 
Article 

Google Scholar 
Mather, H. M. et al. Hypomagnesaemia in diabetes. Clin. Chim. Acta 95, 235–242 (1979).CAS 
PubMed 
Article 

Google Scholar 
Hubbard, S. R. Crystal structure of the activated insulin receptor tyrosine kinase in complex with peptide substrate and ATP analog. EMBO J. 16, 5572–5581 (1997).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Kurstjens, S. et al. Determinants of hypomagnesemia in patients with type 2 diabetes mellitus. Eur. J. Endocrinol. 176, 11–19 (2017).CAS 
PubMed 
Article 

Google Scholar 
Viering, D. H. H. M., de Baaij, J. H. F., Walsh, S. B., Kleta, R. & Bockenhauer, D. Genetic causes of hypomagnesemia, a clinical overview. Pediatr. Nephrol. 32, 1123–1135 (2017).PubMed 
Article 

Google Scholar 
Peacock, J. M. et al. Serum magnesium and risk of sudden cardiac death in the Atherosclerosis Risk in Communities (ARIC) Study. Am. Heart J. 160, 464–470 (2010).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Veronese, N. et al. Effect of magnesium supplementation on glucose metabolism in people with or at risk of diabetes: A systematic review and meta-analysis of double-blind randomized controlled trials. Eur. J. Clin. Nutr. 70, 1354–1359 (2016).CAS 
PubMed 
Article 

Google Scholar 
Rodríguez-Morán, M., Simental-Mendía, L. E., Gamboa-Gómez, C. I. & Guerrero-Romero, F. Oral magnesium supplementation and metabolic syndrome: A randomized double-blind placebo-controlled clinical trial. Adv. Chronic Kidney Dis. 25, 261–266 (2018).PubMed 
Article 

Google Scholar 
Grigoryan, R. et al. Multi-collector ICP-mass spectrometry reveals changes in the serum Mg isotopic composition in diabetes type I patients. J. Anal. At. Spectrom. 34, 1514–1521 (2019).CAS 
Article 

Google Scholar 
Bigeleisen, J. & Mayer, M. G. Calculation of equilibrium constants for isotopic exchange reactions. J. Chem. Phys. 15, 261–267 (1947).ADS 
CAS 
Article 

Google Scholar 
Bigeleisen, J. The relative reaction velocities of isotopic molecules. J. Chem. Phys. 17, 675–678 (1949).ADS 
CAS 
Article 

Google Scholar 
McKeegan, K. D. et al. Isotopic compositions of cometary matter returned by stardust. Science 314, 1724–1728 (2006).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Jouzel, J. et al. Vostok ice core: A continuous isotope temperature record over the last climatic cycle (160,000 years). Nature 329, 403–408 (1987).ADS 
CAS 
Article 

Google Scholar 
Albarède, F., Télouk, P. & Balter, V. Medical applications of isotope metallomics. Rev. Mineral. Geochem. 82, 851–885 (2017).Article 
CAS 

Google Scholar 
Balter, V. et al. Natural variations of copper and sulfur stable isotopes in blood of hepatocellular carcinoma patients. PNAS 112, 982–985 (2015).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Télouk, P. et al. Copper isotope effect in serum of cancer patients. A pilot study. Metallomics 7, 299–308 (2015).PubMed 
Article 
CAS 

Google Scholar 
Lobo, L. et al. Elemental and isotopic analysis of oral squamous cell carcinoma tissues using sector-field and multi-collector ICP-mass spectrometry. Talanta 165, 92–97 (2017).CAS 
PubMed 
Article 

Google Scholar 
Costas-Rodríguez, M. et al. Body distribution of stable copper isotopes during the progression of cholestatic liver disease induced by common bile duct ligation in mice. Metallomics 11, 1093–1103 (2019).PubMed 
Article 
CAS 

Google Scholar 
Lamboux, A. et al. The blood copper isotopic composition is a prognostic indicator of the hepatic injury in Wilson disease. Metallomics 12, 1781–1790 (2020).CAS 
PubMed 
Article 

Google Scholar 
Moynier, F., Creech, J., Dallas, J. & Le Borgne, M. Serum and brain natural copper stable isotopes in a mouse model of Alzheimer’s disease. Sci. Rep. 9, 11894 (2019).ADS 
PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Sauzéat, L. et al. Isotopic evidence for disrupted copper metabolism in amyotrophic lateral sclerosis. iScience 6, 264–271 (2018).ADS 
PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Krayenbuehl, P.-A., Walczyk, T., Schoenberg, R., von Blanckenburg, F. & Schulthess, G. Hereditary hemochromatosis is reflected in the iron isotope composition of blood. Blood 105, 3812–3816 (2005).CAS 
PubMed 
Article 

Google Scholar 
Anoshkina, Y. et al. Iron isotopic composition of blood serum in anemia of chronic kidney disease. Metallomics 9, 517–524 (2017).CAS 
PubMed 
Article 

Google Scholar 
Morgan, J. L. L. et al. Rapidly assessing changes in bone mineral balance using natural stable calcium isotopes. Proc. Natl. Acad. Sci. USA 109, 9989–9994 (2012).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Eisenhauer, A. et al. Calcium isotope ratios in blood and urine: A new biomarker for the diagnosis of osteoporosis. Bone Rep. 10, 100200 (2019).CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Isaji, Y. et al. Magnesium isotope fractionation during synthesis of chlorophyll a and bacteriochlorophyll a of benthic phototrophs in hypersaline environments. ACS Earth Space Chem. 3, 1073–1079 (2019).ADS 
CAS 
Article 

Google Scholar 
Pokharel, R. et al. Magnesium stable isotope fractionation on a cellular level explored by cyanobacteria and black fungi with implications for higher plants. Environ. Sci. Technol. 52, 12216–12224 (2018).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Bolou-Bi, E. B., Poszwa, A., Leyval, C. & Vigier, N. Experimental determination of magnesium isotope fractionation during higher plant growth. Geochim. Cosmochim. Acta 74, 2523–2537 (2010).ADS 
CAS 
Article 

Google Scholar 
Wang, Y. et al. Magnesium isotope fractionation reflects plant response to magnesium deficiency in magnesium uptake and allocation: A greenhouse study with wheat. Plant Soil 455, 93–105 (2020).CAS 
Article 

Google Scholar 
Martin, J. E., Vance, D. & Balter, V. Natural variation of magnesium isotopes in mammal bones and teeth from two South African trophic chains. Geochim. Cosmochim. Acta 130, 12–20 (2014).ADS 
CAS 
Article 

Google Scholar 
Martin, J. E., Vance, D. & Balter, V. Magnesium stable isotope ecology using mammal tooth enamel. PNAS 112, 430–435 (2015).ADS 
CAS 
PubMed 
Article 

Google Scholar 
DeFronzo, R. A., Tobin, J. D. & Andres, R. Glucose clamp technique: A method for quantifying insulin secretion and resistance. Am. J. Physiol.-Endocrinol. Metab. 237, E214 (1979).CAS 
Article 

Google Scholar 
Kim, J. K. Hyperinsulinemic-euglycemic clamp to assess insulin sensitivity in vivo. In Type 2 Diabetes: Methods and Protocols, Methods in Molecular Biology (ed. Stocker, C.) 221–238 (Humana Press, 2009).Chapter 

Google Scholar 
DeFronzo, R. A., Hendler, R. & Simonson, D. Insulin resistance is a prominent feature of insulin-dependent diabetes. Diabetes 31, 795–801 (1982).CAS 
PubMed 
Article 

Google Scholar 
Balter, V. et al. Contrasting Cu, Fe, and Zn isotopic patterns in organs and body fluids of mice and sheep, with emphasis on cellular fractionation. Metallomics 5, 1470–1482 (2013).CAS 
PubMed 
Article 

Google Scholar 
Zhang, B., Podolskiy, D. I., Mariotti, M., Seravalli, J. & Gladyshev, V. N. Systematic age-, organ-, and diet-associated ionome remodeling and the development of ionomic aging clocks. Aging Cell 19, e13119 (2020).CAS 
PubMed 
PubMed Central 

Google Scholar 
Morel, J.-D. et al. The mouse metallomic landscape of aging and metabolism. Nat. Commun. 13, 607 (2022).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Grigoryan, R., Costas-Rodríguez, M., Vandenbroucke, R. E. & Vanhaecke, F. High-precision isotopic analysis of Mg and Ca in biological samples using multi-collector ICP-mass spectrometry after their sequential chromatographic isolation—Application to the characterization of the body distribution of Mg and Ca isotopes in mice. Anal. Chim. Acta 1130, 137–145 (2020).CAS 
PubMed 
Article 

Google Scholar 
Goff, S. L., Albalat, E., Dosseto, A., Godin, J.-P. & Balter, V. Determination of magnesium isotopic ratios of biological reference materials via multi-collector inductively coupled plasma mass spectrometry. Rapid Commun. Mass Spectrom. 35, e9074 (2021).PubMed 

Google Scholar 
DeRocher, K. A. et al. Chemical gradients in human enamel crystallites. Nature 583, 66–71 (2020).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Johansen, T., Hansen, H. S., Richelsen, B. & Malmlöf, K. The obese Göttingen minipig as a model of the metabolic syndrome: dietary effects on obesity, insulin sensitivity, and growth hormone profile. Comp. Med. 51, 150–155 (2001).CAS 
PubMed 

Google Scholar 
Coelho, P. G. et al. Effect of obesity or metabolic syndrome and diabetes on osseointegration of dental implants in a miniature swine model: A pilot study. J. Oral Maxillofac. Surg. 76, 1677–1687 (2018).PubMed 
PubMed Central 
Article 

Google Scholar 
Saltiel, A. R. & Kahn, C. R. Insulin signalling and the regulation of glucose and lipid metabolism. Nature 414, 799–806 (2001).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Elin, R. J. Assessment of magnesium status. Clin. Chem. 33, 1965–1970 (1987).CAS 
PubMed 
Article 

Google Scholar 
Koopmans, S. J., van der Meulen, J., Dekker, R., Corbijn, H. & Mroz, Z. Diurnal variation in insulin-stimulated systemic glucose and amino acid utilization in pigs fed with identical meals at 12-hour intervals. Horm. Metab. Res. 38, 607–613 (2006).CAS 
PubMed 
Article 

Google Scholar 
Koopmans, S. J., Maassen, J. A., Radder, J. K. & Frölich, M. In vivo insulin responsiveness for glucose uptake and production at eu- and hyperglycemic levels in normal and diabetic rats. Biochimica et Biophysica Acta (BBA) General Subjects 1115, 230–238 (1992).CAS 
Article 

Google Scholar 
Koopmans, S. J. et al. Association of insulin resistance with hyperglycemia in streptozotocin-diabetic pigs: Effects of metformin at isoenergetic feeding in a type 2–like diabetic pig model. Metabolism 55, 960–971 (2006).CAS 
PubMed 
Article 

Google Scholar  More

Mack, R. M. et al. Biotic invasions: Causes, epidemiology, global consequences, and control. Ecol. Appl. 10(3), 689–710. https://doi.org/10.1890/1051-0761(2000)010[0689:BICEGC]2.0.CO;2 (2000).Article 

Google Scholar 
Pyšek, P. et al. A global assessment of invasive plant impacts on resident species, communitiesand ecosystems: The interaction of impact measures, invading species’ traits and environment. Glob. Change Biol. 18, 1725–1737. https://doi.org/10.1111/j.1365-2486.2011.02636.x (2012).ADS 
Article 

Google Scholar 
Wittenberg, R. & Cock, M. J. W. Invasive Alien Species: A Toolkit of Best Prevention and Management Practices (CAB International, 2001).Book 

Google Scholar 
DAISIE. Delivering Alien Invasive Species Inventories for Europe. http://www.europe-aliens.org/speciesFactsheet.do?speciesId=23539# (2018).Hejda, M., Pyšek, P. & Jarošík, V. Impact of invasive plants on the species richness, diversity and composition of invaded communities. J. Ecol. 97, 393–403. https://doi.org/10.1111/j.1365-2745.2009.01480.x (2009).Article 

Google Scholar 
Chmura, D. et al. The influence of invasive Fallopia taxa on resident plant species in two river valleys (southern Poland). Acta Soc. Bot. Pol. 84(1), 23–33. https://doi.org/10.5586/asbp.2015.008 (2015).Article 

Google Scholar 
Stefanowicz, A. M., Stanek, M., Nobis, M. & Zubek, S. Few effects of invasive plants Reynoutria japonica, Rudbeckia laciniata and Solidago gigantea on soil physical and chemical properties. Sci. Total Environ. 574, 938–946. https://doi.org/10.1016/j.scitotenv.2016.09.120 (2017).ADS 
CAS 
Article 
PubMed 

Google Scholar 
Stefanowicz, A. M., Stanek, M., Nobis, M. & Zubek, S. Species-specific effects of plant invasions on activity, biomass and composition of soil microbial communities. Biol. Fertil. Soils 52, 841–852. https://doi.org/10.1007/s00374-016-1122-8 (2016).CAS 
Article 

Google Scholar 
Zubek, S. et al. Invasive plants affect arbuscular mycorrhizal fungi abundance and species richness as well as the performance of native plants grown in invaded soils. Biol. Fertil. Soils 52, 879–893. https://doi.org/10.1007/s00374-016-1127-3 (2016).Article 

Google Scholar 
Krinke, L. et al. Seed bank of an invasive alien, Heracleum mantegazzianum, and its seasonal dynamics. Seed Sci. Res. 15, 239–248. https://doi.org/10.1079/SSR2005214 (2005).Article 

Google Scholar 
Gioria, M. & Osbourne, B. Similarities in the impact of three large invasive plant species on soil seed bank communities. Biol. Invasions 12, 1671–1683. https://doi.org/10.1007/s10530-009-9580-7 (2010).Article 

Google Scholar 
Kundel, D., van Kleunen, M. & Dawson, W. Invasion by Solidago species has limited impacts on soil seed bank communities. Basic Appl. Ecol. 15, 573–580. https://doi.org/10.1016/j.baae.2014.08.009 (2014).Article 

Google Scholar 
Dong, H., Liu, T., Liu, Z. & Song, Z. Fate of the soil seed bank of giant ragweed and its significance in preventing and controlling its invasion in grasslands. Ecol. Evol. https://doi.org/10.1002/ece3.6238 (2020).Article 
PubMed 
PubMed Central 

Google Scholar 
Harper, J. L. Population Biology of Plants (Academic Press, 1977).
Google Scholar 
Gioria, M. & Pyšek, P. The legacy of plant invasions: Changes in the soil seed bank of invaded plant communities. Bioscience 66(1), 40–53. https://doi.org/10.1093/biosci/biv165 (2015).Article 

Google Scholar 
Gioria, M. & Osborne, B. Resource competition in plant invasions: Emerging patterns and research needs. Front. Plant Sci. 5, 501. https://doi.org/10.3389/fpls.2014.00501 (2014).Article 
PubMed 
PubMed Central 

Google Scholar 
Holmes, P. M. & Cowling, R. M. Diversity, composition and guild structure relationships between soil-stored seed banks and mature vegetation in alien plant-invaded South African fynbos shrublands. Plant Ecol. 133, 107–122. https://doi.org/10.1023/A:1009734026612 (1997).Article 

Google Scholar 
Gioria, M., Pyšek, P. & Moravcová, L. Soil seed banks in plant invasions: Promoting species invasiveness and long-term impact on plant community dynamics. Preslia 84, 327–350 (2012).
Google Scholar 
Tokarska-Guzik, B. et al. Rośliny Obcego Pochodzenia w Polsce ze Szczególnym Uwzględnieniem Gatunków Inwazyjnych (Generalna Dyrekcja Ochrony Środowiska, 2012).
Google Scholar 
Thompson, K., Bakker, J. P. & Bekker, R. M. The Soil Seed Banks of North West Europe: Methodology, Density and Longevity (Cambridge University Press, 1997).
Google Scholar 
Gioria, M., Le Roux, J. J., Hirsch, H., Moravcová, L. & Pyšek, P. Characteristics of the soil seed bank of invasive and non-invasive plants in their native and alien distribution range. Biol. Invasions 21, 2313–2332 (2019).Article 

Google Scholar 
Pyšek, P. et al. Naturalization of central European plants in North America: Species traits, habitats, propagule pressure, residence time. Ecology 96(3), 762–774. https://doi.org/10.1890/14-1005.1 (2015).Article 
PubMed 

Google Scholar 
Hager, H. A., Rupert, R., Quinn, L. D. & Newman, J. A. Escaped Miscanthus sacchariflorus reduces the richness and diversity of vegetation and the soil seed bank. Biol. Invasions 17, 1833–1847. https://doi.org/10.1007/s10530-014-0839-2 (2015).Article 

Google Scholar 
Robertson, S. G. & Hickman, K. Aboveground plant community and seed bank composition along an invasion gradient. Plant Ecol. 213(9), 1461–1475. https://doi.org/10.1007/s11258-012-0104-7 (2012).Article 

Google Scholar 
Fumanal, B., Gaudot, I. & Bretagnolle, F. Seed-bank dynamics in the invasive plant, Ambrosia artemisiifolia L.. Seed Sci. Res. 18(2), 101–114 (2008).Article 

Google Scholar 
Funk, J. L. et al. Keys to enhancing the value of invasion ecology research for management. Biol. Invasions 22, 2431–2445. https://doi.org/10.1007/s10530-020-02267-9 (2020).Article 

Google Scholar 
Jalas, J. Problems concerning Rudbeckia laciniata (Asteraceae) in Europe Fragmenta Floristica et Geobotanica. Supplementum 2(1), 289–297 (1993).
Google Scholar 
Tokarska-Guzik, B. The Establishment and Spread of Alien Plant Species (Kenophytes) in the Flora of Poland (Prace Naukowe Uniwersytetu Śląskiego w Katowicach, 2005).
Google Scholar 
EPPO. Rudbeckia laciniata (Asteraceae). EPPO Reporting Service—Invsive Plants. European and Mediterranean Plant Protection Organization. https://www.eppo.int/INVASIVE_PLANTS/ias_lists.htm (2009).Zelnik, I. The presence of invasive alien plant species in different habitats: Case study from Slovenia. Acta Biol. Sloven. 55(2), 25–38 (2012).
Google Scholar 
Vojniković, S. Tall cone flower (Rudbeckia laciniata L.)—new invasive species in the flora of Bosnia and Herzegovina. Herbologia 15(1), 39–47. https://doi.org/10.5644/Herb.15.1.05 (2015).Article 

Google Scholar 
Auld, B., Morita, H., Nishida, T., Ito, M. & Michael, P. Shared exotica: Plant invasions of Japan and south eastern Australia. Cunninghamia 8, 147–152 (2003).
Google Scholar 
Akasaka, M., Osawa, T. & Ikegami, M. The role of roads and urban area in occurrence of an ornamental invasive weed: A case of Rudbeckia laciniata L.. Urban Ecosyst. 18, 1021–1030 (2015).Article 

Google Scholar 
GBIF. Global Biodiversity Information Facility. Checklist dataset. https://www.gbif.org/species/3114229 (2021).Francírková, T. Contribution of the invasive ecology of Rudbeckia laciniata in the Czech Republic. In Plant Invasions: Species Ecology and Ecosystem Management (eds Brundu, G. et al.) 89–98 (Backhuys Publishers, 2001).
Google Scholar 
Moravcová, L., Pyšek, P., Jarošík, V., Havlíčková, V. & Zákravský, P. Reproductive characteristics of neophytes in the Czech Republic: Traits of invasive and non-invasive species. Preslia 82, 365–390. https://doi.org/10.1371/journal.pone.0123634 (2010).CAS 
Article 

Google Scholar 
Kościńska-Pająk, M., Musiał, K. & Janiszewska, K. Embryological processes in ovules of Rudbeckia laciniata L. (Asteraceae) from Poland. Mod. Phytomorphol. 5, 19–23 (2014).
Google Scholar 
Urbatsch, L. E. & Cox, P. B. Rudbeckia laciniata in Flora of North America Editorial Committee. http://floranorthamerica.org/Rudbeckia_laciniata (2021).Jankowska-Błaszczuk, M. Zróżnicowanie banków nasion w naturalnych i antropogenicznie przekształconych zbiorowiskach leśnych. Monograph. Bot. 88, 25 (2000).
Google Scholar 
Osawa, T. & Akasaka, M. Management of the invasive perennial herb Rudbeckia laciniata L. (Compositae) using rhizome removal. Jpn. J. Conserv. Ecol. 14(1), 37–43. https://doi.org/10.18960/hozen.14.1_37 (2009).Article 

Google Scholar 
Gleason, H. A. & Cronquist, A. Manual of Vascular Plants of Northeastern United States and Adjacent Canada (The New York Botanical Garden, 1991).Book 

Google Scholar 
Gioria, M. & Osborne, B. The impact of Gunnera tinctoria (Molina) Mirbel invasions on soil seed bank communities. J. Plant Ecol. 2(3), 153–167. https://doi.org/10.1093/jpe/rtp013 (2009).Article 

Google Scholar 
Kleyer, et al. The LEDA Traitbase: A database of life-history traits of Northwest European flora. J. Ecol. 96, 1266–1274. https://doi.org/10.1111/j.1365-2745.2008.01430.x (2008).Article 

Google Scholar 
Ruprecht, E., Fenesi, A. & Nijs, I. Are plasticity in functional traits and constancy in performance traits linked with invasiveness? An experimental test comparing invasive and naturalized plant species. Biol. Invasions 16, 1359–1372. https://doi.org/10.1007/s10530-013-0574-0 (2014).Article 

Google Scholar 
Wróbel, M. Origin and spatial distribution of roadside vegetation within the forest and agricultural areas in Szczecin Lowland (West Poland). Pol. J. Ecol. 54(1), 137–143 (2001).
Google Scholar 
Dajdok, Z. & Pawlaczyk, P. Inwazyjne Gatunki Roślin Mokradłowych Polski (Wydawnictwo Klubu Przyrodnikow, 2009).
Google Scholar 
de Waal, L. C., Child, L. E., Wade, M. & Brock, J. H. Ecology and Management of Invasive Riverside Plants (Wiley, 1994).
Google Scholar 
Pyśek, P. & Prach, K. Plant invasions and the role of riparian habitats: A comparison of four species alien to central Europe. J. Biogeogr. 20, 413–420 (1993).Article 

Google Scholar 
Kucharczyk, M. & Krawczyk, R. Kenophytes as river corridor plants in the vistula and the san river valleys. Teka Komisji Ochrony Kształtowania Środowiska Przyrodniczego 1, 110–115 (2004).
Google Scholar 
Walck, J. L. et al. Defining transient and persistent seed banks in species with pronounced seasonal dormancy and germination patterns. Seed Sci. Res. 15(3), 189–196. https://doi.org/10.1079/SSR2005209 (2005).ADS 
Article 

Google Scholar 
Gioria, M. & Pyšek, P. Early bird catches the worm: Germination as a critical step in plant invasion. Biol. Invasions 19, 1055–1080. https://doi.org/10.1007/s10530-016-1349-1 (2017).Article 

Google Scholar 
Gioria, M., Pyšek, P. & Osborne, B. Timing is everything: Does early and late germination favor invasions by herbaceous alien plants?. J. Plant Ecol. 11(1), 4–16. https://doi.org/10.1093/jpe/rtw105 (2018).Article 

Google Scholar 
Perglová, I. et al. Differences in germination and seedling establishment of alien and native Impatiens species. Preslia 81, 357–375 (2009).
Google Scholar 
Haines, D. F., Larson, D. L. & Larson, J. L. Leafy spurge (Euphorbia esula) affects vegetation more than seed banks in mixed-grass prairies of the Northern Great Plains. Invas. Plant Sci. Manage. 6, 416–432. https://doi.org/10.1614/IPSM-D-12-00076.1 (2013).Article 

Google Scholar 
Gioria, M., Jarosík, V. & Pyšek, P. Impact of invasions by alien plants on soil seed bank communities: Emerging patterns. Perspect. Plant Ecol. Evol. Syst. 16, 132–142. https://doi.org/10.1016/j.ppees.2014.03.003 (2014).Article 

Google Scholar 
Gioria, M. & Osbourne, B. Assessing the impact of plant invasions on soli seed bank communities: Use of univariate and multivariate statistical approaches. J. Veg. Sci. 20, 547–556. https://doi.org/10.1111/j.1654-1103.2009.01054.x (2009).Article 

Google Scholar 
Tokarska-Guzik, B., Bzdega, K., Knapik, D. & Jenczała, G. Changes in plant species richeness in some riparian plant communities as a result of their colonisation by taxa of Reynoutria (Fallopia). Biodivers. Res. Conserv. 1–2, 122–130 (2006).
Google Scholar 
Dölle, M. & Wolfgang, S. The relationship between soil seed bank, above-ground vegetation and disturbance intensity on old-field successional permanent plots. Appl. Veg. Sci. 12, 415–428 (2009).Article 

Google Scholar 
Thompson, K. & Grime, J. P. Seasonal variation in the seed banks of herbaceous species in ten contrasting habitats. J. Ecol. 67, 893–921. https://doi.org/10.2307/2259220 (1979).Article 

Google Scholar 
Czarnecka, J. Microspatial structure of the seed bank of xerothermic grassland—intracommunity differentiation. Acta Soc. Bot. Pol. 73(2), 155–164. https://doi.org/10.5586/asbp.2004.022 (2004).Article 

Google Scholar 
Kalamees, R., Püssa, K., Zobel, K. & Zobel, M. Restoration potential of the persistent soil seed bank in successional calcareous (alvar) grasslands in Estonia. Appl. Veg. Sci. 15, 208–218 (2012).Article 

Google Scholar 
Skowronek, S. et al. Regeneration potential of floodplain forests under the influence of nonnative tree species: Soil seed bank analysis in Northern Italy. Restor. Ecol. 22(1), 22–30. https://doi.org/10.1111/rec.12027 (2014).Article 

Google Scholar  More

Korup, O. Landslides in the Fluvial System. Treatise on Geomorphology Vol. 9 (Elsevier Ltd., 2013).
Google Scholar 
Kuo, C. W. & Brierley, G. The influence of landscape connectivity and landslide dynamics upon channel adjustments and sediment flux in the Liwu Basin, Taiwan. Earth Surf. Process. Landf. 39, 2038–2055 (2014).ADS 
Article 

Google Scholar 
Tunnicliffe, J. F., Leenman, A. & Reeve, M. The influence of large, chronic landslides on the fluvial system AGU Fall Meeting Abstracts, EP33A-3620 (2014).
Fox, G. A., Purvis, R. A. & Penn, C. J. Streambanks: A net source of sediment and phosphorus to streams and rivers. J. Environ. Manag. 181, 602–614 (2016).CAS 
Article 

Google Scholar 
Biswas, S. P. Restoration of riverine health. Handb. Ecol. Ecosyst. Eng. https://doi.org/10.1002/9781119678595.ch14 (2021).Article 

Google Scholar 
Lutgen, A. et al. Nutrients and heavy metals in legacy sediments: Concentrations, comparisons with upland soils, and implications for water quality. J. Am. Water Resour. Assoc. 56, 669–691 (2020).ADS 
CAS 
Article 

Google Scholar 
Emenike, P. C. et al. An integrated assessment of land-use change impact, seasonal variation of pollution indices and human health risk of selected toxic elements in sediments of River Atuwara, Nigeria. Environ. Pollut. 265, 114795 (2020).CAS 
PubMed 
Article 

Google Scholar 
Fox, G. A. & Wilson, G. V. The role of subsurface flow in hillslope and stream bank erosion: A review. Soil Sci. Soc. Am. J. 74, 717–733 (2010).ADS 
CAS 
Article 

Google Scholar 
Duró, G., Crosato, A., Kleinhans, M. G., Roelvink, D. & Uijttewaal, W. S. J. Bank erosion processes in regulated navigable rivers. J. Geophys. Res. Earth Surf. 125, 1–26 (2020).Article 

Google Scholar 
Keesstra, S. D. et al. Evolution of the morphology of the river Dragonja (SW Slovenia) due to land-use changes. Geomorphology 69, 191–207 (2005).ADS 
Article 

Google Scholar 
Pizzuto, J. & O’Neal, M. Increased mid-twentieth century riverbank erosion rates related to the demise of mill dams, South River, Virginia. Geology 37, 19–22 (2009).ADS 
Article 

Google Scholar 
Abam, T. K. S. Factors affecting distribution of instability of river banks in the Niger delta. Eng. Geol. 35, 123–133 (1993).Article 

Google Scholar 
Jordan, C. et al. Sand mining in the Mekong Delta revisited—current scales of local sediment deficits. Sci. Rep. 9, 1–14 (2019).Article 
CAS 

Google Scholar 
Hackney, C. R. et al. River bank instability from unsustainable sand mining in the lower Mekong River. Nat. Sustain. 3, 217–225 (2020).Article 

Google Scholar 
Yang, S. L., Milliman, J. D., Li, P. & Xu, K. 50,000 dams later: Erosion of the Yangtze River and its delta. Glob. Planet. Change 75, 14–20 (2011).ADS 
Article 

Google Scholar 
Royall, D. Land-use impacts on the hydrogeomorphology of small watersheds. Ref. Modul. Earth Syst. Environ. Sci. https://doi.org/10.1016/B978-0-12-818234-5.00010-9 (2021).Article 

Google Scholar 
Johnson, P. & Royall, D. Evaluating the effects of urbanization age on the morphology of low-order urban streams in the U.S. southern Piedmont. Phys. Geogr. 40, 1–27 (2019).Article 

Google Scholar 
Zaimes, G., Tamparopoulos, A. E., Tufekcioglu, M. & Schultz, R. C. Understanding stream bank erosion and deposition in Iowa, USA: A seven year study along streams in different regions with different riparian land-uses. J. Environ. Manag. 287, 112352 (2021).Article 

Google Scholar 
Zaimes, G. N. & Schultz, R. C. Riparian land-use impacts on bank erosion and deposition of an incised stream in north-central Iowa, USA. CATENA 125, 61–73 (2015).Article 

Google Scholar 
Simon, A., Curini, A., Darby, S. E. & Langendoen, E. J. Bank and near-bank processes in an incised channel. Geomorphology 35, 193–217 (2000).ADS 
Article 

Google Scholar 
Rinaldi, M. & Casagli, N. Stability of streambanks formed in partially saturated soils and effects of negative pore water pressures: The Sieve River (Italy). Geomorphology 26, 253–277 (1999).ADS 
Article 

Google Scholar 
Wynn, T. & Mostaghimi, S. The effects of vegetation and soil type on streambank erosion, Southwestern Virginia, USA. J. Am. Water Resour. Assoc. 42, 69–82 (2006).ADS 
Article 

Google Scholar 
Hecker, G. A., Meehan, M. A. & Norland, J. E. Plant community influences on intermittent stream stability in the great plains. Rangel. Ecol. Manag. 72, 112–119 (2019).Article 

Google Scholar 
Konsoer, K. M. et al. Spatial variability in bank resistance to erosion on a large meandering, mixed bedrock-alluvial river. Geomorphology 252, 80–97 (2016).ADS 
Article 

Google Scholar 
Abernethy, B. & Rutherfurd, I. D. Does the weight of riparian trees destabilize riverbanks?. River Res. Appl. 16, 565–576 (2000).
Google Scholar 
Collison, A. J. C. The distribution and strength of riparian tree roots in relation to riverbank reinforcement. Hydrol. Process. 15, 63–79 (2001).Article 

Google Scholar 
Simon, A. & Collison, A. J. C. Quantifying the mechanical and hydrologic effects of riparian vegetation on streambank stability. Earth Surf. Process. Landf. 27, 527–546 (2002).ADS 
Article 

Google Scholar 
Krzeminska, D., Kerkhof, T., Skaalsveen, K. & Stolte, J. Effect of riparian vegetation on stream bank stability in small agricultural catchments. CATENA 172, 87–96 (2019).Article 

Google Scholar 
Yu, G. A. et al. Effects of riparian plant roots on the unconsolidated bank stability of meandering channels in the Tarim River, China. Geomorphology 351, 106958 (2020).Article 

Google Scholar 
Halder, A. & Mowla Chowdhury, R. Evaluation of the river Padma morphological transition in the central Bangladesh using GIS and remote sensing techniques. Int. J. River Basin Manag. 1–15 (2021).
Bernier, J. F., Chassiot, L. & Lajeunesse, P. Assessing bank erosion hazards along large rivers in the Anthropocene: A geospatial framework from the St. Lawrence fluvial system. Geomat. Nat. Hazards Risk 12, 1584–1615 (2021).Article 

Google Scholar 
Lawler, D. M., Grove, J. R., Couperthwaite, J. S. & Leeks, G. J. L. Downstream change in river bank erosion rates in the Swale-Ouse system, northern England. Hydrol. Process. 13, 977–992 (1999).ADS 
Article 

Google Scholar 
Gholami, V., Sahour, H. & Hadian Amri, M. A. Soil erosion modeling using erosion pins and artificial neural networks. CATENA 196, 104902 (2021).Article 

Google Scholar 
Simon, A., Pollen-Bankhead, N. & Thomas, R. E. Development and application of a deterministic bank stability and toe erosion model for stream restoration. Geophys. Monogr. Ser. 194, 453–474 (2011).ADS 

Google Scholar 
Klavon, K. et al. Evaluating a process-based model for use in streambank stabilization: Insights on the Bank Stability and Toe Erosion Model (BSTEM). Earth Surf. Process. Landf. 42, 191–213 (2017).ADS 
Article 

Google Scholar 
Partheniades, E. Erosion and deposition of cohesive soils. J. Hydraul. Div. 91, 105–139 (1965).Article 

Google Scholar 
Fredlund, D. G., Morgenstern, N. R. & Widger, R. A. Shear strength of unsaturated soils. Can. Geotech. J. 15, 313–321 (1978).Article 

Google Scholar 
Myers, D. T., Rediske, R. R. & McNair, J. N. Measuring streambank erosion: A comparison of erosion pins, total station, and terrestrial laser scanner. Water (Switzerland) 11, 1846 (2019).
Google Scholar 
Casagli, N., Rinaldi, M., Gargini, A. & Curini, A. Pore water pressure and streambank stability: Results from a monitoring site on the Sieve River, Italy. Earth Surf. Process. Landf. 24, 1095–1114 (1999).ADS 
Article 

Google Scholar 
Tufekcioglu, M. et al. Stream bank erosion as a source of sediment and phosphorus in grazed pastures of the Rathbun Lake Watershed in southern Iowa, United States. J. Soil Water Conserv. 67, 545–555 (2012).Article 

Google Scholar 
Palmer, J. A., Schilling, K. E., Isenhart, T. M., Schultz, R. C. & Tomer, M. D. Streambank erosion rates and loads within a single watershed: Bridging the gap between temporal and spatial scales. Geomorphology 209, 66–78 (2014).ADS 
Article 

Google Scholar 
Pollen, N. & Simon, A. Estimating the mechanical effects of riparian vegetation on stream bank stability using a fiber bundle model. Water Resour. Res. 41, 1–11 (2005).Article 

Google Scholar 
Pollen-Bankhead, N. & Simon, A. Sensitivity of post-hurricane beach. Earth Surf. Process. Landf. 34, 471–480 (2009).ADS 
Article 

Google Scholar 
Wasige, J. E. et al. A land use and land cover classification system for use with remote sensor data. Prof. Pap. 100, 753–764 (1976).
Google Scholar 
Al-Doski, J., Mansor, S. B., Ng, H., San, P. & Khuzaimah, Z. Land cover mapping using remote sensing data. Am. J. Geogr. Inf. Syst. 2020, 33–45 (2020).
Google Scholar 
Okeke, C. A. U., Ede, A. N. & Kogure, T. Monitoring of riverbank stability and seepage undercutting mechanisms on the Iju (Atuwara) River, Southwest Nigeria. IOP Conf. Ser. Mater. Sci. Eng. 640, 012105 (2019).Article 

Google Scholar 
Abam, T. K. S. Aspects of alluvial river bank recession: Some examples from the Niger delta. Environ. Geol. 31, 211–220 (1997).Article 

Google Scholar 
Okeke, C. A. U., Azuh, D., Ogbuagu, F. U. & Kogure, T. Assessment of land use impact and seepage erosion contributions to seasonal variations in riverbank stability: The Iju River, SW Nigeria. Groundw. Sustain. Dev. 11, 100448 (2020).Article 

Google Scholar 
Voltz, T. et al. Riparian hydraulic gradient and stream-groundwater exchange dynamics in steep headwater valleys. J. Geophys. Res. Earth Surf. 118, 953–969 (2013).ADS 
Article 

Google Scholar 
Thomas, J., Kumar, S. & Sudheer, K. P. Channel stability assessment in the lower reaches of the Krishna River (India) using multi-temporal satellite data during 1973–2015. Remote Sens. Appl. Soc. Environ. 17, 100274 (2020).
Google Scholar 
Ran, Y. et al. A higher river sinuosity increased riparian soil structural stability on the downstream of a dammed river. Sci. Total Environ. 802, 149886 (2022).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Midgley, T. L., Fox, G. A. & Heeren, D. M. Evaluation of the bank stability and toe erosion model (BSTEM) for predicting lateral retreat on composite streambanks. Geomorphology 145–146, 107–114 (2012).ADS 
Article 

Google Scholar 
Daly, E. R., Miller, R. B. & Fox, G. A. Modeling streambank erosion and failure along protected and unprotected composite streambanks. Adv. Water Resour. 81, 114–127 (2015).ADS 
Article 

Google Scholar 
Saleem, A. et al. Spatial and temporal variations of erosion and accretion: A case of a large tropical river. Earth Syst. Environ. 4, 167–181 (2020).ADS 
Article 

Google Scholar 
Biswas, R. N., Islam, M. N., Islam, M. N. & Shawon, S. S. Modeling on approximation of fluvial landform change impact on morphodynamics at Madhumati River Basin in Bangladesh. Model. Earth Syst. Environ. 7, 71–93 (2021).Article 

Google Scholar 
Li, J., Tooth, S., Zhang, K. & Zhao, Y. Visualisation of flooding along an unvegetated, ephemeral river using Google Earth Engine: Implications for assessment of channel-floodplain dynamics in a time of rapid environmental change. J. Environ. Manag. 278, 111559 (2021).Article 

Google Scholar 
Graziano, M. P., Deguire, A. K. & Surasinghe, T. D. Riparian buffers as a critical landscape feature : Insights for riverscape conservation and policy renovations. Diversity 14, 172 (2022).Article 

Google Scholar 
Rauch, H. P., von der Thannen, M., Raymond, P., Mira, E. & Evette, A. Ecological challenges* for the use of soil and water bioengineering techniques in river and coastal engineering projects. Ecol. Eng. 176, 106539 (2022).Article 

Google Scholar 
East, A. E. et al. Channel-planform evolution in four rivers of Olympic National Park, Washington, USA: The roles of physical drivers and trophic cascades. Earth Surf. Process. Landf. 42, 1011–1032 (2017).ADS 
Article 

Google Scholar 
Kumar, P. et al. Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations. Sci. Total Environ. 784, 147058 (2021).ADS 
CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Laubel, A., Kronvang, B., Hald, A. B. & Jensen, C. Hydromorphological and biological factors influencing sediment and phosphorus loss via bank erosion in small lowland rural streams in Denmark. Hydrol. Process. 17, 3443–3463 (2003).ADS 
Article 

Google Scholar 
Veihe, A., Jensen, N. H., Schiøtz, I. G. & Nielsen, S. L. Magnitude and processes of bank erosion at a small stream in Denmark. Hydrol. Process. 25, 1597–1613 (2011).ADS 
Article 

Google Scholar 
Kronvang, B., Andersen, H. E., Larsen, S. E. & Audet, J. Importance of bank erosion for sediment input, storage and export at the catchment scale. J. Soils Sediments 13, 230–241 (2013).Article 

Google Scholar 
Rajakumari, S., Meenambikai, M., Divya, V., Sarunjith, K. J. & Ramesh, R. Morphological changes in alluvial and coastal plains of Kandaleru river, Andhra Pradesh using RS and GIS, Egypt. J. Remote Sens. Space Sci. 24, 1071–1081 (2021).
Google Scholar 
Zegeye, A. D., Langendoen, E. J., Steenhuis, T. S., Mekuria, W. & Tilahun, S. A. Bank stability and toe erosion model as a decision tool for gully bank stabilization in sub humid Ethiopian highlands. Ecohydrol. Hydrobiol. 20, 301–311 (2020).Article 

Google Scholar 
Shields, F. D. J., Morin, N. & Cooper, C. M. Design of large woody debris structures for channel rehabilitation. In Seventh Federal Interagency Sedimentation Conference, Vol. 8 (2001).C A U, Okeke A N, Ede (2019) Mechanisms of riverbank failure and channel instability on the Nkisi River Southeast Nigeria. IOP Conference Series: Materials Science and Engineering 640(1), 012104. https://doi.org/10.1088/1757-899X/640/1/012104Article 

Google Scholar  More

Chen T, Nomura K, Wang X, Sohrabi R, Xu J, Yao L, et al. A plant genetic network for preventing dysbiosis in the phyllosphere. Nature.2020;580:653–7.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Chaparro JM, Badri DV, Vivanco JM. Rhizosphere microbiome assemblage is affected by plant development. ISME J. 2014;8:790–803.CAS 
PubMed 
Article 

Google Scholar 
Manching HC, Carlson K, Kosowsky S, Smitherman CT, Stapleton AE. Maize phyllosphere microbial community niche development across stages of host leaf growth. F1000Research. 2017;6:1698.PubMed 
Article 

Google Scholar 
Wagner MR, Lundberg DS, Del Rio TG, Tringe SG, Dangl JL, Mitchell-Olds T. Host genotype and age shape the leaf and root microbiomes of a wild perennial plant. Nat Commun. 2016;7:12151.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Agler MT, Ruhe J, Kroll S, Morhenn C, Kim ST, Weigel D, et al. Microbial hub taxa link host and abiotic factors to plant microbiome variation. PLoS Biol. 2016;14:e1002352.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Durán P, Thiergart T, Garrido-Oter R, Agler M, Kemen E, Schulze-Lefert P, et al. Microbial interkingdom interactions in roots promote Arabidopsis survival. Cell. 2018;175:973–83. e14PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Carrión VJ, Perez-Jaramillo J, Cordovez V, Tracanna V, de Hollander M, Ruiz-Buck D, et al. Pathogen-induced activation of disease-suppressive functions in the endophytic root microbiome. Science. 2019;366:606–12.PubMed 
Article 
CAS 

Google Scholar 
Karasov TL, Almario J, Friedemann C, Ding W, Giolai M, Heavens D, et al. Arabidopsis thaliana and Pseudomonas pathogens exhibit stable associations over evolutionary timescales. Cell Host Microbe. 2018;24:168–79.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Coleman-Derr D, Desgarennes D, Fonseca-Garcia C, Gross S, Clingenpeel S, Woyke T, et al. Plant compartment and biogeography affect microbiome composition in cultivated and native Agave species. N. Phytol. 2016;209:798–811.CAS 
Article 

Google Scholar 
Xiong C, Zhu YG, Wang JT, Singh B, Han LL, Shen JP, et al. Host selection shapes crop microbiome assembly and network complexity. N. Phytol. 2021;229:1091–104.CAS 
Article 

Google Scholar 
Lemonnier P, Gaillard C, Veillet F, Verbeke J, Lemoine R, Coutos-Thévenot P, et al. Expression of Arabidopsis sugar transport protein STP13 differentially affects glucose transport activity and basal resistance to Botrytis cinerea. Plant Mol Biol. 2014;85:473–84.CAS 
PubMed 
Article 

Google Scholar 
Nobori T, Cao Y, Entila F, Dahms E, Tsuda Y, Garrido-Oter R, et al. Dissecting the co-transcriptome landscape of plants and microbiota members. bioRxiv; 2022. p. 2021.04.25.440543.Yamada K, Saijo Y, Nakagami H, Takano Y. Regulation of sugar transporter activity for antibacterial defense in Arabidopsis. Science. 2016;354:1427–30.CAS 
PubMed 
Article 

Google Scholar 
Baker RF, Leach KA, Braun DM. SWEET as sugar: new sucrose effluxers in plants. Mol Plant. 2012;5:766–8.PubMed 
Article 

Google Scholar 
Tegeder M, Hammes UZ. The way out and in: phloem loading and unloading of amino acids. Curr Opin Plant Biol. 2018;43:16–21.CAS 
PubMed 
Article 

Google Scholar 
O’Leary BM, Neale HC, Geilfus CM, Jackson RW, Arnold DL, Preston GM. Early changes in apoplast composition associated with defence and disease in interactions between Phaseolus vulgaris and the halo blight pathogen Pseudomonas syringae Pv. phaseolicola. Plant Cell Environ. 2016;39:2172–84.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Rico A, Preston GM. Pseudomonas syringae pv. tomato DC3000 uses constitutive and apoplast-induced nutrient assimilation pathways to catabolize nutrients that are abundant in the tomato apoplast. Mol Plant-Microbe Interact. MPMI. 2008;21:269–82.CAS 
PubMed 
Article 

Google Scholar 
Yu X, Lund SP, Scott RA, Greenwald JW, Records AH, Nettleton D, et al. Transcriptional responses of Pseudomonas syringae to growth in epiphytic versus apoplastic leaf sites. Proc Natl Acad Sci USA. 2013;110:E425.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Lohaus G, Winter H, Riens B, Heldt HW. Further studies of the phloem loading process in leaves of barley and spinach. The comparison of metabolite concentrations in the apoplastic compartment with those in the cytosolic compartment and in the sieve tubes. Bot Acta. 1995;108:270–5.CAS 
Article 

Google Scholar 
Chen LQ, Hou BH, Lalonde S, Takanaga H, Hartung ML, Qu XQ, et al. Sugar transporters for intercellular exchange and nutrition of pathogens. Nature. 2010;468:527–32.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Xin XF, Nomura K, Aung K, Velásquez AC, Yao J, Boutrot F, et al. Bacteria establish an aqueous living space in plants crucial for virulence. Nature. 2016;539:524–9.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Paulsen IT, Press CM, Ravel J, Kobayashi DY, Myers GSA, Mavrodi DV, et al. Complete genome sequence of the plant commensal Pseudomonas fluorescens Pf-5. Nat Biotechnol. 2005;23:873–8.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
D’Souza G, Shitut S, Preussger D, Yousif G, Waschina S, Kost C. Ecology and evolution of metabolic cross-feeding interactions in bacteria. Nat Prod Rep. 2018;35:455–88.PubMed 
Article 

Google Scholar 
Hoek TA, Axelrod K, Biancalani T, Yurtsev EA, Liu J, Gore J. Resource availability modulates the cooperative and competitive nature of a microbial cross-feeding mutualism. PLOS Biol. 2016;14:e1002540.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Zimmermann J, Obeng N, Yang W, Pees B, Petersen C, Waschina S, et al. The functional repertoire contained within the native microbiota of the model nematode Caenorhabditis elegans. ISME J. 2020;14:26–38.CAS 
PubMed 
Article 

Google Scholar 
Machado D, Maistrenko OM, Andrejev S, Kim Y, Bork P, Patil KR, et al. Polarization of microbial communities between competitive and cooperative metabolism. Nat Ecol Evol. 2021;5:195–203.PubMed 
PubMed Central 
Article 

Google Scholar 
Hassani MA, Durán P, Hacquard S. Microbial interactions within the plant holobiont. Microbiome. 2018;6:1–17.Article 

Google Scholar 
Gerlich SC, Walker BJ, Krueger S, Kopriva S. Sulfate metabolism in C4 Flaveria species is controlled by the root and connected to serine biosynthesis. Plant Physiol. 2018;178:565–82.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Gowik U, Bräutigam A, Weber KL, Weber APM, Westhoff P. Evolution of C4 photosynthesis in the genus Flaveria: How many and which genes does it take to make C4? Plant Cell. 2011;23:2087–105.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
McKown AD, Dengler NG. Vein patterning and evolution in C4 plants. Botany. 2010;88:775–86.CAS 
Article 

Google Scholar 
Gentzel I, Giese L, Zhao W, Alonso AP, Mackey D. A simple method for measuring apoplast hydration and collecting apoplast contents. Plant Physiol. 2019;179:1265–72.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Mayer T, Mari A, Almario J, Murillo-Roos M, Syed M, Abdullah H, et al. Obtaining deeper insights into microbiome diversity using a simple method to block host and nontargets in amplicon sequencing. Mol Ecol Resour. 2021;21:1952–65.PubMed 
Article 

Google Scholar 
R Core Team. R: A language and environment for statistical computing [Internet]. Vienna, Austria: R Foundation for Statistical Computing; 2020. Available from: https://www.R-project.org/.Callahan B, McMurdie PJ, Rosen M, Han A, Johnson A, Holmes S. DADA2: High-resolution sample inference from Illumina amplicon data. Nat Methods. 2016;13:581–3.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
McMurdie PJ, Holmes S. phyloseq: An R package for reproducible interactive analysis and graphics of microbiome census data. PLOS ONE. 2013;8:61217.Article 
CAS 

Google Scholar 
Oksanen J, Blanchet GF, Friendly M, Kindt R, Legendre P, McGlinn D, et al. vegan: Community Ecology Package [Internet]. 2020. Available from: https://CRAN.R-project.org/package=vegan.Arkin AP, Cottingham RW, Henry CS, Harris NL, Stevens RL, Maslov S, et al. KBase: The United States Department of Energy Systems Biology Knowledgebase. Nat Biotechnol. 2018;36:566–9.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Schlechter RO, Jun H, Bernach M, Oso S, Boyd E, Muñoz-Lintz DA, et al. Chromatic bacteria – A broad host-range plasmid and chromosomal insertion toolbox for fluorescent protein expression in bacteria. Front Microbiol. 2018;9:3052.PubMed 
PubMed Central 
Article 

Google Scholar 
Lohaus G, Pennewiss K, Sattelmacher B, Hussmann M, Hermann Muehling K. Is the infiltration-centrifugation technique appropriate for the isolation of apoplastic fluid? A critical evaluation with different plant species. Physiol Plant. 2001;111:457–65.CAS 
PubMed 
Article 

Google Scholar 
Trivedi P, Leach JE, Tringe SG, Sa T, Singh BK. Plant–microbiome interactions: from community assembly to plant health. Nat Rev Microbiol. 2020;18:607–21.CAS 
PubMed 
Article 

Google Scholar 
Goldford JE, Lu N, Bajić D, Estrela S, Tikhonov M, Sanchez-Gorostiaga A, et al. Emergent simplicity in microbial community assembly. Science. 2018;361:469–74.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Dal Bello M, Lee H, Goyal A, Gore J. Resource-diversity relationships in bacterial communities reflect the network structure of microbial metabolism. Nat Ecol Evol. 2021;5:1424–34.PubMed 
Article 

Google Scholar 
Sattelmacher B. The apoplast and its significance for plant mineral nutrition. N. Phytol. 2001;149:167–92.CAS 
Article 

Google Scholar 
Regalado J, Lundberg DS, Deusch O, Kersten S, Karasov T, Poersch K, et al. Combining whole-genome shotgun sequencing and rRNA gene amplicon analyses to improve detection of microbe–microbe interaction networks in plant leaves. ISME J. 2020;14:2116–30.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Morella NM, Weng FCH, Joubert PM, Metcalf CJE, Lindow S, Koskella B. Successive passaging of a plant-associated microbiome reveals robust habitat and host genotype-dependent selection. Proc Natl Acad Sci USA. 2020;117:1148–59.CAS 
PubMed 
Article 

Google Scholar 
Remus-Emsermann MNP, Lücker S, Müller DB, Potthoff E, Daims H, Vorholt JA. Spatial distribution analyses of natural phyllosphere-colonizing bacteria on Arabidopsis thaliana revealed by fluorescence in situ hybridization. Environ Microbiol. 2014;16:2329–40.CAS 
PubMed 
Article 

Google Scholar 
Coyte KZ, Schluter J, Foster KR. The ecology of the microbiome: Networks, competition, and stability. Science. 2015;350:663–6.CAS 
PubMed 
Article 

Google Scholar 
Herren CM. Disruption of cross-feeding interactions by invading taxa can cause invasional meltdown in microbial communities. Proc R Soc B Biol Sci. 2020;287:20192945.Article 

Google Scholar 
Rahme LG, Mindrinos MN, Panopoulos NJ. Plant and environmental sensory signals control the expression of hrp genes in Pseudomonas syringae pv. phaseolicola. J Bacteriol. 1992;174:3499–507.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Morella NM, Zhang X, Koskella B. Tomato seed-associated bacteria confer protection of seedlings against foliar disease caused by Pseudomonas syringae. Phytobiomes J. 2019;3:177–90.Article 

Google Scholar 
Cha JY, Han S, Hong HJ, Cho H, Kim D, Kwon Y, et al. Microbial and biochemical basis of a Fusarium wilt-suppressive soil. ISME J. 2016;10:119–29.CAS 
PubMed 
Article 

Google Scholar 
Lundberg DS, Jové R de P, Ayutthaya PPN, Karasov TL, Shalev O, Poersch K, et al. Contrasting patterns of microbial dominance in the Arabidopsis thaliana phyllosphere. bioRxiv. 2021;2021.04.06.438366.Ikawa Y, Tsuge S. The quantitative regulation of the hrp regulator HrpX is involved in sugar-source-dependent hrp gene expression in Xanthomonas oryzae pv. oryzae. FEMS Microbiol Lett. 2016;363:fnw071.Wei ZM, Sneath BJ, Beer SV. Expression of Erwinia amylovora hrp genes in response to environmental stimuli. J Bacteriol. 1992;174:1875–82.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Jain C, Rodriguez-R LM, Phillippy AM, Konstantinidis KT, Aluru S. High throughput ANI analysis of 90K prokaryotic genomes reveals clear species boundaries. Nat Commun. 2018;9:5114.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Akashi H, Gojobori T. Metabolic efficiency and amino acid composition in the proteomes of Escherichia coli and Bacillus subtilis. Proc Natl Acad Sci USA. 2002;99:3695–700.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Oña L, Kost C. Cooperation increases robustness to ecological disturbance in microbial cross-feeding networks. Ecol Lett. 2022;25:1410–20.Cadot S, Guan H, Bigalke M, Walser JC, Jander G, Erb M, et al. Specific and conserved patterns of microbiota-structuring by maize benzoxazinoids in the field. Microbiome. 2021;9:103.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar 
Voges MJEEE, Bai Y, Schulze-Lefert P, Sattely ES. Plant-derived coumarins shape the composition of an Arabidopsis synthetic root microbiome. Proc Natl Acad Sci USA. 2019;116:12558–65.PubMed 
PubMed Central 
Article 
CAS 

Google Scholar 
Aulakh MS, Wassmann R, Bueno C, Kreuzwieser J, Rennenberg H. Characterization of root exudates at different growth stages of ten rice (Oryza sativa L.) cultivars. Plant Biol. 2001;3:139–48.CAS 
Article 

Google Scholar 
Dietz S, Herz K, Gorzolka K, Jandt U, Bruelheide H, Scheel D. Root exudate composition of grass and forb species in natural grasslands. Sci Rep. 2020;10:10691.CAS 
PubMed 
PubMed Central 
Article 

Google Scholar  More

Siderius, C., Biemans, H., Kashaigili, J. & Conway, D. Water conservation can reduce future water-energy-food-environment trade-offs in a medium-sized African river basin. Agric. Water Manag. 266, 107548 (2022).
Google Scholar 
Zhao, G., Liang, R., Li, K., Wang, Y. & Pu, X. Study on the coupling model of urbanization and water environment with basin as a unit: A study on the Hanjiang Basin in China. Ecol. Ind. 131, 108130 (2021).
Google Scholar 
Zhu, Q. et al. Relationship between ecological quality and ecosystem services in a red soil hilly watershed in southern China. Ecol. Ind. 121, 107119 (2021).
Google Scholar 
Fu, A. et al. The effects of ecological rehabilitation projects on the resilience of an extremely drought-prone desert riparian forest ecosystem in the Tarim River Basin, Xinjiang, China. Sci. Rep. 11, 18485 (2021).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Dai, D. et al. Comprehensive assessment of the water environment carrying capacity based on the spatial system dynamics model, a case study of Yongding River Basin in North China. J. Clean. Prod. 344, 131137 (2022).
Google Scholar 
Basu, H., Dandele, P. S. & Srivastava, S. K. Sedimentary facies of the Mesoproterozoic Srisailam Formation, Cuddapah basin, India: Implications for depositional environment and basin evolution. Mar. Pet. Geol. 133, 105242 (2021).
Google Scholar 
Capella, W. et al. Sandy contourite drift in the late Miocene Rifian Corridor (Morocco): Reconstruction of depositional environments in a foreland-basin seaway. Sed. Geol. 355, 31–57 (2017).
Google Scholar 
Ilevbare, M. & Omodolor, H. E. Ancient deposition environment, mechanism of deposition and textural attributes of Ajali Formation, western flank of the Anambra Basin, Nigeria. Case Stud. Chem. Environ. Eng. 2, 100022 (2020).
Google Scholar 
Qiao, J. B., Zhu, Y. J., Jia, X. X. & Shao, M. A. Multifractal characteristics of particle size distributions (50–200 m) in soils in the vadose zone on the Loess Plateau, China. Soil Tillage Res. 205, 104786 (2021).
Google Scholar 
Bach, E. M., Baer, S. G., Meyer, C. K. & Six, J. Soil texture affects soil microbial and structural recovery during grassland restoration. Soil Biol. Biochem. 42, 2182–2191 (2010).CAS 

Google Scholar 
Rodríguez-Lado, L. & Lado, M. Relation between soil forming factors and scaling properties of particle size distributions derived from multifractal analysis in topsoils from Galicia (NW Spain). Geoderma 287, 147–156 (2017).ADS 

Google Scholar 
Mozaffari, H., Moosavi, A. A. & Dematte, J. A. M. Estimating particle-size distribution from limited soil texture data: Introducing two new methods. Biosys. Eng. 216, 198–217 (2022).
Google Scholar 
Sudarsan, B., Ji, W., Adamchuk, V. & Biswas, A. Characterizing soil particle sizes using wavelet analysis of microscope images. Comput. Electron. Agric. 148, 217–225 (2018).
Google Scholar 
Pollacco, J. A. P., Fernández-Gálvez, J. & Carrick, S. Improved prediction of water retention curves for fine texture soils using an intergranular mixing particle size distribution model. J. Hydrol. 584, 124597 (2020).
Google Scholar 
Richer-de-Forges, A. C. et al. Hand-feel soil texture and particle-size distribution in central France. Relationships and implications. CATENA 213, 106155 (2022).CAS 

Google Scholar 
Du, W. et al. Insights into vertical differences of particle number size distributions in winter in Beijing, China. Sci. Total Environ. 802, 149695 (2022).ADS 
CAS 
PubMed 

Google Scholar 
Darder, M. L., Paz-González, A., García-Tomillo, A., Lado, M. & Wilson, M. G. Comparing multifractal characteristics of soil particle size distributions calculated by Mie and Fraunhofer models from laser diffraction measurements. Appl. Math. Model. 94, 36–48 (2021).
Google Scholar 
Ke, Z. M. et al. Multifractal parameters of soil particle size as key indicators of the soil moisture distribution. J. Hydrol. 595, 125988 (2021).
Google Scholar 
Qi, F. et al. Soil particle size distribution characteristics of different land-use types in the Funiu mountainous region. Soil Tillage Res. 184, 45–51 (2018).
Google Scholar 
Tyler, S. W. & Wheatcraft, S. W. Fractal scaling of soil particle-size distribution: Analysis and imitations. Soil Sci. Soc. Am. J. 56, 362–369 (1992).ADS 

Google Scholar 
Zhang, Y. et al. Effects of fractal dimension and water content on the shear strength of red soil in the hilly granitic region of southern China. Geomorphology 351, 106956 (2020).
Google Scholar 
Ahmadi, A., Neyshabouri, M.-R., Rouhipour, H. & Asadi, H. Fractal dimension of soil aggregates as an index of soil erodibility. J. Hydrol. 400, 305–311 (2011).ADS 

Google Scholar 
Gao, Z., Niu, F., Lin, Z. & Luo, J. Fractal and multifractal analysis of soil particle-size distribution and correlation with soil hydrological properties in active layer of Qinghai-Tibet Plateau, China. CATENA 203, 105373 (2021).
Google Scholar 
Xu, G. et al. New method for the reconstruction of sedimentary systems including lithofacies, environments, and flow paths: A case study of the Xisha Trough Basin, South China Sea. Mar. Pet. Geol. 133, 105268 (2021).
Google Scholar 
Li, Z., Yu, X., Dong, S., Chen, Q. & Zhang, C. Microtextural features on quartz grains from eolian sands in a subaqueous sedimentary environment: A case study in the hinterland of the Badain Jaran Desert, Northwest China. Aeolian Res. 43, 100573 (2020).
Google Scholar 
Chen, T. et al. Modeling the effects of topography and slope gradient of an artificially formed slope on runoff, sediment yield, water and soil loss of sandy soil. CATENA 212, 106060 (2022).
Google Scholar 
George, C. F., Macdonald, D. I. M. & Spagnolo, M. Deltaic sedimentary environments in the Niger Delta, Nigeria. J. Afr. Earth Sci. 160, 103592 (2019).
Google Scholar 
Tian, Y. et al. Petrology, lithofacies, and sedimentary environment of Upper Cretaceous Abu Roash “G” in the AESW Block, Abu Gharadig Basin, Western Desert, Egypt. J. Afr. Earth Sci. 145, 178–189 (2018).ADS 

Google Scholar 
Cheng, Z., Jalon-Rójas, I., Wang, X. H. & Liu, Y. Impacts of land reclamation on sediment transport and sedimentary environment in a macro-tidal estuary. Estuar. Coast. Shelf Sci. 242, 106861 (2020).
Google Scholar 
Wei, X., Li, X. G. & Wei, N. Fractal features of soil particle size distribution in layered sediments behind two check dams: Implications for the Loess Plateau, China. Geomorphology 266, 133–145 (2016).ADS 

Google Scholar 
Wang, S. et al. Grain size characteristics of surface sediment and its response to the dynamic sedimentary environment in Qiantang Estuary, China. Int. J. Sediment Res. 37, 457–467 (2022).
Google Scholar 
Wided, S., Jalila, S. & Kamel, R. Grain size analysis and characterization of sedimentary environment along the Bizerte Coast, N-E of Tunisia. J. Afr. Earth Sc. 184, 104353 (2021).
Google Scholar 
Cai, X., Yang, Y. E., Ringler, C., Zhao, J. & You, L. Agricultural water productivity assessment for the Yellow River Basin. Agric. Water Manag. 98, 1297 (2011).
Google Scholar 
Fu, J., Zang, C. & Zhang, J. Economic and resource and environmental carrying capacity trade-off analysis in the Haihe river basin in China. J. Clean. Prod. 270, 122271 (2020).
Google Scholar 
Zhang, K. et al. Confronting challenges of managing degraded lake ecosystems in the anthropocene, exemplified from the Yangtze River Basin in China. Anthropocene 24, 30–39 (2018).
Google Scholar 
Huybrechts, N., Zhang, Y. F. & Verbanck, M. A. A new closure methodology for 1D fully coupled models of mobile-bed alluvial hydraulics: Application to silt transport in the Lower Yellow River. Int. J. Sedim. Res. 26(1), 36–49 (2011).
Google Scholar 
Cheng, D. Z. Strengthen the financial foundation of ecological protection and development of the Yellow River Basin. People Tribune 27, 76–78 (2021).
Google Scholar 
Yang, W. N., Zhou, L. & Sun, D. Q. Ecological vulnerability assessment of the Yellow River basin based on partition: Integration concept. Remote Sens. Nat. Resourc. 33(03), 211–218 (2021).
Google Scholar 
Sun, H. et al. Exposure of population to droughts in the Haihe river basin under global warming of 1.5 and 2.0 °C Scenarios. Q. Int. 453, 74–84 (2017).ADS 

Google Scholar 
Mandelbrott, B. B. The Fractal Geometry of Nature (W.H. Freeman and Company, 1983).
Google Scholar 
Samiei-Fard, R., Heidari, A., Konyushkova, M. & Mahmoodi, S. Application of particle size distribution throughout the soil profile as a criterion for recognition of newly developed geoforms in the Southeastern Caspian coast. CATANA 203, 105362 (2021).CAS 

Google Scholar 
Guo, J. Y. et al. Grain size characteristics and source analysis of aeolian sediment feed into river in Ulanbuh Desert along bank of Yellow River. J. China Inst. Water Resour. Hydropower Res. 19(01), 15–24 (2021).
Google Scholar 
Ge, T. T., Xue, Y. J., Jiang, X. Y., Zou, L. & Wang, X. C. Sources and radiocarbon ages of organic carbon in different grain size fractions of Yellow River-transported particles and coastal sediments. Chem. Geol. 534, 119452 (2020).ADS 

Google Scholar 
Hou, C. Y., Yi, Y. J., Song, J. & Zhou, Y. Effect of water-sediment regulation operation on sediment grain size and nutrient content in the lower Yellow River. J. Clean. Prod. 279, 123533 (2021).CAS 

Google Scholar 
Ni, S. M., Feng, S. Y., Zhang, D. Q., Wang, J. G. & Cai, C. F. Sediment transport capacity in erodible beds with reconstituted soils of different textures. CATANA 183, 104197 (2019).
Google Scholar 
Li, J. L. et al. Multifractal features of the particle-size distribution of suspended sediment in the Three Gorges Reservoir, China. Int. J. Sedim. Res. 36(4), 489–500 (2021).
Google Scholar 
Wang, W. F., Liu, R. T., Guo, Z. X., Feng, Y. H. & Jiang, J. Y. Physical and chemical properties and fractal dimension distribution of soil under shrubs in the southern area of Tengger Desert. J. Desert Res. 41(01), 209–218 (2021).
Google Scholar 
Wang, K., Pei, Z. Y., Wang, W. M., Hao, S. R. & Pang, G. H. Influence of the flat cycle on the fractal characteristics of soil pore structure in Salix psammophila. Sci. Technol. Eng. 21(07), 2647–2654 (2021).
Google Scholar 
Gao, G. L. et al. Fractal approach to estimating changes in soil properties following the establishment of Caragana korshinskii shelterbelts in Ningxia, NW China. Ecol. Indic. 43, 236–243 (2014).CAS 

Google Scholar 
Liu, X., Zhang, G. C., Heathman, G. C., Wang, Y. Q. & Huang, C. H. Fractal features of soil particle-size distribution as affected by plant communities in the forested region of Mountain Yimeng, China. Geoderma 154(1), 123–130 (2009).ADS 

Google Scholar 
Xu, G. C., Li, Z. B. & Li, P. Fractal features of soil particle-size distribution and total soil nitrogen distribution in a typical watershed in the source area of the middle Dan River, China. CATENA 101, 17–23 (2013).CAS 

Google Scholar 
Zhao, S. Q., Chi, D. Q., Jia, F. C., Deng, Y. P. & Sun, C. T. Fractal characteristics of saline soil particles in different regions. Jiangsu Agric. Sci. 49(06), 203–207 (2021).
Google Scholar  More

High diet overlap is assumed to cause competition between the three dominant pelagic planktivorous mesopredators in the Baltic Sea, sprat, herring, and stickleback11,24,25. Despite this assumption, stickleback populations have increased dramatically over the past decades, which raises the question of whether and how resources are partitioned26. While previous studies of fish diet overlap have mainly relied on microscopic identification of gut content, we implemented a DNA metabarcoding approach targeting two different gene regions, the 18S rRNA gene (18S) and the mitochondrial cytochrome c oxidase I gene (COI) to reveal the taxonomic diversity of prey, and a qPCR step to quantify rotifers that are at times abundant in the Baltic Sea. Our study highlights consistency between methods, with DNA metabarcoding resolving the plankton-fish link at the highest taxonomic resolution. Our results suggest a unique niche of stickleback that may enable high population growth in the open water, despite high competition between mesopredators, although this finding needs to be confirmed at larger scale. More than half of the DNA found in herring and sprat stomach contents was assigned to Pseudocalanus, supporting previous observations of high diet overlap between the two clupeids11,12. On the other hand, the diet of stickleback differed substantially from the two clupeids, with rotifers appearing as main prey DNA in spring. The high rotifer biomass in the environment and lack of competition from other predators indicate that this novel niche utilization may support the drastic increase of pelagic stickleback in the Baltic Sea.We find that copepods dominated the gut content of the two clupeids sprat and herring. Pseudocalanus and Temora occupied most of the sequence reads of the clupeid metabarcoding, two species that are often reported as preferred prey in previous studies11,12. Despite high contributions of these two copepods, Pseudocalanus was more than four times as abundant as Temora in clupeid gut contents. A strong preference for this copepod with marine origin can further confirm the increased competition between the clupeids, as Pseudocalanus has decreased due to decreased salinity12 and shares a similar vertical distribution as clupeid during daytime27. Our study using metabarcoding further reveals a large relative quantity (11%) of the ctenophore Mertensia in the gut samples of both clupeids. Similar, Clarke et al.28 reported an important contribution of gelatinous zooplankton to upper trophic levels in the Southern Ocean. Despite high abundances of ctenophores in the Baltic Sea and their assumed importance in marine food webs19, they are not reported as food for planktivorous fish. A possible explanation is the difficulty observing them microscopically, as their digestion rate is faster than crustaceans29, and no hard parts remain in the digestive system. Further, COI detected the presence of cladocerans, which was confirmed by the microscopic survey, but underrepresented with 18S that strongly amplify copepods20. Interestingly, more than twice annelid COI reads, including the benthic macroinvertebrates Bylgides and Marenzellaria, were associated to stickleback (15%) and herring (8%) than to sprat (4%), highlighting their ability to migrate vertically. These interactions suggest that together stickleback and herring contribute to benthic-pelagic coupling when oxygen is not restricting vertical migration in the southern Baltic Sea30.Sprat and herring share a similar feeding niche, which may explain previously observed declines in body mass and stomach fullness, and supports the theory of competition between the two species31. In contrast, stickleback revealed little diet overlap with the other mesopredators. The low relative abundances of Pseudocalanus (1–8%) in metabarcoding analyses indicates that the density-dependent competition may not limit the population growth of stickleback. The copepods that were shared in the diet of stickleback, sprat, and herring were Temora, Acartia, and Centropages have increased over the last decades, as opposed to Pseudocalanus32. Our results show that stickleback are able to feed on a broader spectrum of prey and highlight that stickleback utilizes the rotifer Synchaeta baltica as prey, which is an important component of the plankton community composition in the Baltic Sea18,20. Due to the difference of prey size, we can expect an overrepresentation of copepod to rotifer sequences compared with microscopic count data. High predation rate on S. baltica is supported by both the qPCR assay as well as microscopic counts, although only the eggshells were visible but not the soft-bodied rotifer. Despite the considerably lower carbon content per S. baltica (ca. 6 µg C ind−1) compared to copepods (ca. 20 µg C ind−1)33, the high number of rotifers likely act as a major food source for stickleback. These results propose that stickleback, due to their opportunistic feeding behaviour34 and smaller size35, have a distinct feeding niche from sprat and herring in the open water, as they feed on a smaller size class of zooplankton compared to the clupeids. Thus, we cannot assume the same process of competition between clupeids and stickleback.Rotifers can at times be very abundant in the Baltic Sea, reaching densities up to 25,000 ind m−3, but their natural predators are poorly studied. An increasing trend in biomass of the two main rotifer genera (Synchaeta and Keratella) was observed since the 1990s36. In a recent study, we showed that rotifers might occupy a unique feeding niche, as direct grazers of dinoflagellate spring bloom, as well as in the recycling of organic matter in summer20. The low level of predation on rotifers by clupeid adults ( More

Ecosystem services are the contributions of nature to human well-being — for example, the provision of raw materials, carbon sequestration and recreation. Although relatively new, the study of these essential services has developed rapidly and is now included in many global policies and assessments. However, mapping and modelling these services is restricted by the availability of data that can account for the multidimensional traits of ecosystem services and model coupled social–ecological systems. Traditional datasets, including surveys, interviews, and focus groups, are often not viable on the scale necessary for many ecosystem service assessments. More

We surveyed three islands of Lake Chany: Uzkoredkii (54° 58′ 15′′ N, 77°27′04′′ E), Reden’kii (54° 56′ 05′′ N, 77° 22′ 27′′ 52 E), Korablik (54° 59′ 31′′ N, 77° 40′ 38′′ E). The studied intertidal habitats are rarely reached by humans.Gull nests were counted in colonies by regular surveys over eight years (1993, 1994, 1996–1998, 2001–2003) on the islands of Lake Chany. Colonies were visited daily or sometimes every other day. To minimize the disturbance caused by the investigation, the time spent working, within view of the gulls was restricted to a maximum of forty minutes per study plots. We noted nest content at every visit for the presence of eggs or chicks. In total, there were 1 164 nests under observation. Nests contained 1 (n = 140), 2 (n = 518), 3 (n = 504) or 4 (n = 2) eggs. Modal clutch size of the great black-headed gull is two or three eggs, varying seasonally. The length and width of the eggs were measured using Vernier calipers (division accuracy 0,1 mm) and numbered with a waterproof marker. Egg volumes were estimated using Hoyt’s equation: Volume = 0.51 * Length * Width * Width/100013. We determined the volume of 2117 great black-headed gull eggs.As the laying of eggs has already started by the first visit to the colony, the date of the beginning of egg laying was calculated by subtracting the average length of the incubation period of great black-headed gulls (27 days) from the hatching date of first chick in the nest (n = 559 nests). If the hatching date was not known, the clutch initiation date was determined by subtracting the number of days of incubation from the date that the nest was first discovered (n = 469 nests). The stage of incubation was estimated from the change in position of an incubated egg placed in water14,15. The technique’s accuracy varied throughout incubation and mean prediction error fall between 0–4 days. On average, egg flotation estimated an embryo’s developmental age to within 1.9 ± 1.6 days (mean ± 1 SD)16. Only 47 nests were found during egg laying. Great black-headed gulls usually laid eggs at intervals of two days. Incubation started as soon as the first egg was laid, so eggs hatched asynchronously, one or two days apart.Whenever possible, we determined the within-clutch laying sequence of eggs (1st, 2nd, 3rd, and 4th). A complete laying sequence was established by observation in 47 cases. In about 48% of clutches the position in laying sequence was established on the basis of the sequence of hatching. In other cases, if we could distinguish within-clutch distinct flotation levels of eggs, we numbered eggs according to the stage of incubation. Sometimes this technique for distinguishing egg laying order were used in other seabirds17,18.We recorded the pipping date (i.e. appearance of star-like bursts) and the actual hatching date of the individual eggs. Wet chicks were registered as hatchlings of that day; dry chicks were registered as 1 day old. Chicks older than two days left the nest and moved to a location nearby. Newly hatched gull chicks were captured by hand at nests, ringed, and measured. We determined wing, tarsus, and head length using a ruler with zero-stop and vernier calipers and body weight measured using Pesola spring balances for 747 chicks of great black-headed gulls, and 457 of them hatched from eggs that were measured. More