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The global distribution and environmental drivers of aboveground versus belowground plant biomass

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  • 1.

    Erb, K. H. et al. Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature 553, 73–76 (2018).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 2.

    Luyssaert, S. et al. Old-growth forests as global carbon sinks. Nature 455, 213–215 (2008).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 3.

    Drake, J. B. et al. Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of relationships. Glob. Ecol. Biogeogr. 12, 147–159 (2003).

    Article 

    Google Scholar 

  • 4.

    Lefsky, M. A. et al. Lidar remote sensing of above-ground biomass in three biomes. Glob. Ecol. Biogeogr. 11, 393–399 (2002).

    Article 

    Google Scholar 

  • 5.

    Duncanson, L. et al. The importance of consistent global forest aboveground biomass product validation. Surv. Geophys. 40, 979–999 (2019).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 6.

    Spawn, S. A., Sullivan, C. C., Lark, T. J. & Gibbs, H. K. Harmonized global maps of above and belowground biomass carbon density in the year 2010. Sci. Data 7, 112 (2020).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 7.

    Ottaviani, G. et al. The neglected belowground dimension of plant dominance. Trends Ecol. Evol. 35, 763–766 (2020).

    PubMed 
    Article 

    Google Scholar 

  • 8.

    Jackson, L. E., Burger, M. & Cavagnaro, T. R. Roots, nitrogen transformations, and ecosystem services. Annu. Rev. Plant Biol. 59, 341–363 (2008).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 9.

    Gill, R. A. & Jackson, R. B. Global patterns of root turnover for terrestrial ecosystems. New Phytol. 147, 13–31 (2000).

    Article 

    Google Scholar 

  • 10.

    Robinson, D. Implications of a large global root biomass for carbon sink estimates and for soil carbon dynamics. Proc. R. Soc. Lond. B 274, 2753–2759 (2007).

    CAS 

    Google Scholar 

  • 11.

    Bardgett, R. D., Mommer, L. & De Vries, F. T. Going underground: root traits as drivers of ecosystem processes. Trends Ecol. Evol. 29, 692–699 (2014).

    PubMed 
    Article 

    Google Scholar 

  • 12.

    Ribeiro, S. C. et al. Above- and belowground biomass in a Brazilian Cerrado. For. Ecol. Manage. 262, 491–499 (2011).

    Article 

    Google Scholar 

  • 13.

    Mokany, K., Raison, R. J. & Prokushkin, A. S. Critical analysis of root:shoot ratios in terrestrial biomes. Glob. Chang. Biol. 12, 84–96 (2006).

    Article 

    Google Scholar 

  • 14.

    Saatchi, S. S. et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proc. Natl Acad. Sci. USA 108, 9899–9904 (2011).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 15.

    Ruesch, A. S. & Gibbs, H. H. K. New IPCC Tier-1 Global Biomass Carbon Map for the Year 2000 (Carbon Dioxide Information Analysis Center, Oak Ridge National Laboratory, 2008).

  • 16.

    Chen, J. L. & Reynolds, J. F. A coordination model of whole-plant carbon allocation in relation to water stress. Ann. Bot. 80, 45–55 (1997).

    CAS 
    Article 

    Google Scholar 

  • 17.

    Franklin, O. et al. Modeling carbon allocation in trees: a search for principles. Tree Physiol. 32, 648–666 (2012).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 18.

    Bloom, A. J., Chapin, F. S. & Mooney, H. A. Resource limitation in plants—an economic analogy. Annu. Rev. Ecol. Syst. 16, 363–392 (1985).

    Article 

    Google Scholar 

  • 19.

    Poorter, H. et al. Biomass allocation to leaves, stems and roots: meta-analyses of interspecific variation and environmental control. New Phytol. 193, 30–50 (2012).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 20.

    Reich, P. in Plant Roots: The Hidden Half (eds. Waisel, Y. et al.) 205–220 (Marcel Dekker, 2006).

  • 21.

    Ledo, A. et al. Tree size and climatic water deficit control root to shoot ratio in individual trees globally. New Phytol. 217, 8–11 (2018).

    PubMed 
    Article 

    Google Scholar 

  • 22.

    Qi, Y., Wei, W., Chen, C. & Chen, L. Plant root-shoot biomass allocation over diverse biomes: a global synthesis. Glob. Ecol. Conserv. 18, e00606 (2019).

    Article 

    Google Scholar 

  • 23.

    Reich, P. B. et al. Temperature drives global patterns in forest biomass distribution in leaves, stems, and roots. Proc. Natl Acad. Sci. USA 111, 13721–13726 (2014).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 24.

    De Frenne, P. et al. Latitudinal gradients as natural laboratories to infer species’ responses to temperature. J. Ecol. 101, 784–795 (2013).

    Article 

    Google Scholar 

  • 25.

    Luo, Y. Terrestrial carbon-cycle feedback to climate warming. Annu. Rev. Ecol. Evol. Syst. 38, 683–712 (2007).

    Article 

    Google Scholar 

  • 26.

    Jackson, R. B. et al. A global analysis of root distributions for terrestrial biomes. Oecologia 108, 389–411 (1996).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 27.

    Malhi, Y., Doughty, C. & Galbraith, D. The allocation of ecosystem net primary productivity in tropical forests. Philos. Trans. R. Soc. Lond. B 366, 3225–3245 (2011).

    CAS 
    Article 

    Google Scholar 

  • 28.

    Roberts, D. R. et al. Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure. Ecography 40, 913–929 (2017).

    Article 

    Google Scholar 

  • 29.

    Cairns, M. A., Brown, S., Helmer, E. H. & Baumgardner, G. A. Root biomass allocation in the world’s upland forests. Oecologia 111, 1–11 (1997).

    PubMed 
    Article 

    Google Scholar 

  • 30.

    McCarthy, M. C. & Enquist, B. J. Consistency between an allometric approach and optimal partitioning theory in global patterns of plant biomass allocation. Funct. Ecol. 21, 713–720 (2007).

    Article 

    Google Scholar 

  • 31.

    Barton, C. V. M. & Montagu, K. D. Effect of spacing and water availability on root:shoot ratio in Eucalyptus camaldulensis. For. Ecol. Manage. 221, 52–62 (2006).

    Article 

    Google Scholar 

  • 32.

    Enquist, B. J. & Niklas, K. J. Global allocation rules for patterns of biomass partitioning in seed plants. Science 295, 1517–1520 (2002).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 33.

    Goward, S. N., Tucker, C. J. & Dye, D. G. North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer. Vegetatio 64, 3–14 (1985).

    Article 

    Google Scholar 

  • 34.

    Manzoni, S., Jackson, R. B., Trofymow, J. A. & Porporato, A. The global stoichiometry of litter nitrogen mineralization. Science 321, 684–686 (2008).

    CAS 
    PubMed 
    Article 
    PubMed Central 

    Google Scholar 

  • 35.

    Kaiser, C., Franklin, O., Dieckmann, U. & Richter, A. Microbial community dynamics alleviate stoichiometric constraints during litter decay. Ecol. Lett. 17, 680–690 (2014).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 36.

    Jiao, F., Shi, X. R., Han, F. P. & Yuan, Z. Y. Increasing aridity, temperature and soil pH induce soil C-N-P imbalance in grasslands. Sci. Rep. 6, 19601 (2016).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 37.

    Sitch, S. et al. Recent trends and drivers of regional sources and sinks of carbon dioxide. Biogeosciences 12, 653–679 (2015).

    Article 

    Google Scholar 

  • 38.

    De Deyn, G. B., Cornelissen, J. H. C. & Bardgett, R. D. Plant functional traits and soil carbon sequestration in contrasting biomes. Ecol. Lett. 11, 516–531 (2008).

    PubMed 
    Article 
    PubMed Central 

    Google Scholar 

  • 39.

    Tjoelker, M. G., Craine, J. M., Wedin, D., Reich, P. B. & Tilman, D. Linking leaf and root trait syndromes among 39 grassland and savannah species. New Phytol. 167, 493–508 (2005).

    CAS 
    PubMed 
    Article 
    PubMed Central 

    Google Scholar 

  • 40.

    Personeni, E. & Loiseau, P. How does the nature of living and dead roots affect the residence time of carbon in the root litter continuum? Plant Soil 267, 129–141 (2004).

    CAS 
    Article 

    Google Scholar 

  • 41.

    Tuanmu, M. N. & Jetz, W. A global 1-km consensus land-cover product for biodiversity and ecosystem modelling. Glob. Ecol. Biogeogr. 23, 1031–1045 (2014).

    Article 

    Google Scholar 

  • 42.

    Pan, Y., Birdsey, R. A., Phillips, O. L. & Jackson, R. B. The structure, distribution, and biomass of the world’s forests. Annu. Rev. Ecol. Evol. Syst. 44, 593–622 (2013).

    Article 

    Google Scholar 

  • 43.

    Jackson, R. B., Mooney, H. A. & Schulze, E. D. A global budget for fine root biomass, surface area, and nutrient contents. Proc. Natl Acad. Sci. USA 94, 7362–7366 (1997).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 44.

    Genet, H., Bréda, N. & Dufrêne, E. Age-related variation in carbon allocation at tree and stand scales in beech (Fagus sylvatica L.) and sessile oak (Quercus petraea (Matt.) Liebl.) using a chronosequence approach. Tree Physiol. 30, 177–192 (2009).

    PubMed 
    Article 

    Google Scholar 

  • 45.

    De Castro, E. A. & Kauffman, J. B. Ecosystem structure in the Brazilian Cerrado: a vegetation gradient of aboveground biomass, root mass and consumption by fire. J. Trop. Ecol. 14, 263–283 (1998).

    Article 

    Google Scholar 

  • 46.

    Ding, B. & Sun, J. Study on biomass of Korean pine plantation in east mountain areas of northeast China. Bull. Bot. Res. 9, 149–157 (1989).

    Google Scholar 

  • 47.

    Ding, B., Liu, S. & Cai, T. Studies on biological productivity of artificial forests of Dahurian larches. Chin. J. Plant Ecol. 14, 226–236 (1990).

    Google Scholar 

  • 48.

    Ding, B. & Sun, J. Accumulation and distribution of productivity and nutrient element in natural Manchurian ash. J. Northeast For. Univ. 4, 1–9 (1989).

    Google Scholar 

  • 49.

    Dossa, E. L., Fernandes, E. C. M., Reid, W. S. & Ezui, K. Above- and belowground biomass, nutrient and carbon stocks contrasting an open-grown and a shaded coffee plantation. Agrofor. Syst. 72, 103–115 (2008).

    Article 

    Google Scholar 

  • 50.

    Epron, D. et al. Do changes in carbon allocation account for the growth response to potassium and sodium applications in tropical Eucalyptus plantations? Tree Physiol. 32, 667–679 (2012).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 51.

    Fonseca, W., Rey Benayas, J. M. & Alice, F. E. Carbon accumulation in the biomass and soil of different aged secondary forests in the humid tropics of Costa Rica. For. Ecol. Manage. 262, 1400–1408 (2011).

    Article 

    Google Scholar 

  • 52.

    Goodman, R. C. et al. Amazon palm biomass and allometry. For. Ecol. Manage. 310, 994–1004 (2013).

    Article 

    Google Scholar 

  • 53.

    Greenland, D. J. & Kowal, J. M. L. Nutrient content of the moist tropical forest of Ghana. Plant Soil 12, 154–173 (1960).

    CAS 
    Article 

    Google Scholar 

  • 54.

    He, Y. et al. Carbon storage capacity of monoculture and mixed-species plantations in subtropical China. For. Ecol. Manage. 295, 193–198 (2013).

    Article 

    Google Scholar 

  • 55.

    Aiba, M. & Nakashizuka, T. Variation in juvenile survival and related physiological traits among dipterocarp species co‐existing in a Bornean forest. J. Veg. Sci. 18, 379–388 (2007).

    Article 

    Google Scholar 

  • 56.

    Jha, K. K. Carbon storage and sequestration rate assessment and allometric model development in young teak plantations of tropical moist deciduous forest, India. J. For. Res. 26, 589–604 (2015).

    CAS 
    Article 

    Google Scholar 

  • 57.

    Kalita, R. M., Das, A. K. & Nath, A. J. Allometric equations for estimating above- and belowground biomass in Tea (Camellia sinensis (L.) O. Kuntze) agroforestry system of Barak Valley, Assam, northeast India. Biomass Bioenergy 83, 42–49 (2015).

    Article 

    Google Scholar 

  • 58.

    Kenzo, T. et al. Development of allometric relationships for accurate estimation of above- and below-ground biomass in tropical secondary forests in Sarawak, Malaysia. J. Trop. Ecol. 25, 371–386 (2009).

    Article 

    Google Scholar 

  • 59.

    Kenzo, T. et al. Allometric equations for accurate estimation of above-ground biomass in logged-over tropical rainforests in Sarawak, Malaysia. J. For. Res. 14, 365–372 (2009).

    CAS 
    Article 

    Google Scholar 

  • 60.

    Kraenzel, M., Castillo, A., Moore, T. & Potvin, C. Carbon storage of harvest-age teak (Tectona grandis) plantations, Panama. For. Ecol. Manage. 173, 213–225 (2003).

    Article 

    Google Scholar 

  • 61.

    Kuyah, S., Dietz, J., Muthuri, C., van Noordwijk, M. & Neufeldt, H. Allometry and partitioning of above- and below-ground biomass in farmed eucalyptus species dominant in Western Kenyan agricultural landscapes. Biomass Bioenergy 55, 276–284 (2013).

    Article 

    Google Scholar 

  • 62.

    Liu, S., Cai, Y. & Cai, T. in Long-term Research on Forest Ecosystems (ed. Zhou, X.) 419–427 (Northeast Forestry Univ. Press, 1991).

  • 63.

    Luo, T. et al. Root biomass along subtropical to alpine gradients: global implication from Tibetan transect studies. For. Ecol. Manage. 206, 349–363 (2005).

    Article 

    Google Scholar 

  • 64.

    Markesteijn, L. & Poorter, L. Seedling root morphology and biomass allocation of 62 tropical tree species in relation to drought- and shade-tolerance. J. Ecol. 97, 311–325 (2009).

    Article 

    Google Scholar 

  • 65.

    McNicol, I. M. et al. Development of allometric models for above and belowground biomass in swidden cultivation fallows of northern Laos. For. Ecol. Manage. 357, 104–116 (2015).

    Article 

    Google Scholar 

  • 66.

    Aiba, M. & Nakashizuka, T. Sapling structure and regeneration strategy in 18 Shorea species co-occurring in a tropical rainforest. Ann. Bot. 96, 313–321 (2005).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 67.

    Menaut, J. C. & Cesar, J. Structure and primary productivity of Lamto savannas, Ivory Coast. Ecology 60, 1197–1210 (1979).

    Article 

    Google Scholar 

  • 68.

    Morais, V. A. et al. Estoques de carbono e biomassa de um fragmento de cerradão em Minas Gerais, Brasil. Cerne 19, 237–245 (2013).

    Article 

    Google Scholar 

  • 69.

    Mugasha, W. A. et al. Allometric models for prediction of above- and belowground biomass of trees in the miombo woodlands of Tanzania. For. Ecol. Manage. 310, 87–101 (2013).

    Article 

    Google Scholar 

  • 70.

    Návar, J. Plasticity of biomass component allocation patterns in semiarid Tamaulipan thornscrub and dry temperate pine species of northeastern Mexico. Polibotánica 31, 121–141 (2011).

    Google Scholar 

  • 71.

    Njana, M. A., Eid, T., Zahabu, E. & Malimbwi, R. Procedures for quantification of belowground biomass of three mangrove tree species. Wetl. Ecol. Manage. 23, 749–764 (2015).

    Article 

    Google Scholar 

  • 72.

    Nogueira Junior, L. R., Engel, V. L., Parrotta, J. A., de Melo, A. C. G. & Ré, D. S. Equações alométricas para estimativa da biomassa arbórea em plantios mistos com espécies nativas na restauração da Mata Atlântica. Biota Neotrop. 14, 1–9 (2014).

    Article 

    Google Scholar 

  • 73.

    Peichl, M. & Arain, M. A. Above- and belowground ecosystem biomass and carbon pools in an age-sequence of temperate pine plantation forests. Agric. For. Meteorol. 140, e20130084 (2006).

    Article 

    Google Scholar 

  • 74.

    Battles, J. J. et al. Vegetation composition, structure, and biomass of two unpolluted watersheds in the Cordillera de Piuchué, Chiloé Island, Chile. Plant Ecol. 158, 5–19 (2002).

    Article 

    Google Scholar 

  • 75.

    Ryan, C. M., Williams, M. & Grace, J. Above- and belowground carbon stocks in a miombo woodland landscape of Mozambique. Biotropica 43, 423–432 (2011).

    Article 

    Google Scholar 

  • 76.

    Saint-André, L. et al. Age-related equations for above- and below-ground biomass of a Eucalyptus hybrid in Congo. For. Ecol. Manage. 205, 199–214 (2005).

    Article 

    Google Scholar 

  • 77.

    Aryal, D. R., De Jong, B. H. J., Ochoa-Gaona, S., Esparza-Olguin, L. & Mendoza-Vega, J. Carbon stocks and changes in tropical secondary forests of southern Mexico. Agric. Ecosyst. Environ. 195, 220–230 (2014).

    Article 

    Google Scholar 

  • 78.

    Schepaschenko, D. et al. A dataset of forest biomass structure for Eurasia. Sci. Data 4, 170070 (2017).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 79.

    Schroth, G., D’Angelo, S. A., Teixeira, W. G., Haag, D. & Lieberei, R. Conversion of secondary forest into agroforestry and monoculture plantations in Amazonia: consequences for biomass, litter and soil carbon stocks after 7 years. For. Ecol. Manage. 163, 131–150 (2002).

    Article 

    Google Scholar 

  • 80.

    Schulze, E. D. et al. Rooting depth, water availability, and vegetation cover along an aridity gradient in Patagonia. Oecologia 108, 503–511 (1996).

    Article 

    Google Scholar 

  • 81.

    Stolbovoi, V. & McCallum, I. Land resources of Russia [CD] (International Institute for Applied Systems Analysis and the Russian Academy of Science, 2002); http://www.iiasa.ac.at/Research/FOR/russia_cd/guide.htm

  • 82.

    Wang, L. et al. Biomass allocation patterns across China’s terrestrial biomes. PLoS ONE 9, e93566 (2014).

    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 

  • 83.

    Wauters, J. B., Coudert, S., Grallien, E., Jonard, M. & Ponette, Q. Carbon stock in rubber tree plantations in Western Ghana and Mato Grosso (Brazil). For. Ecol. Manage. 255, 2347–2361 (2008).

    Article 

    Google Scholar 

  • 84.

    Williams-Linera, G. Biomass and nutrient content in two successional stages of tropical wet forest in Uxpanapa, Mexico. Biotropica 15, 275–284 (1983).

    Article 

    Google Scholar 

  • 85.

    Xu, Y. et al. Improving allometry models to estimate the above- and belowground biomass of subtropical forest, China. Ecosphere 6, 289 (2015).

    Article 

    Google Scholar 

  • 86.

    Youkhana, A. H. & Idol, T. W. Allometric models for predicting above- and belowground biomass of Leucaena-KX2 in a shaded coffee agroecosystem in Hawaii. Agrofor. Syst. 83, 331–345 (2011).

    Article 

    Google Scholar 

  • 87.

    Zhang, H. et al. Biogeographical patterns of biomass allocation in leaves, stems, and roots in China’s forests. Sci. Rep. 5, 15997 (2015).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 88.

    Castellanos, J., Maass, M. & Kummerow, J. Root biomass of a dry deciduous tropical forest in Mexico. Plant Soil 131, 225–228 (1991).

    Article 

    Google Scholar 

  • 89.

    Zheng, Z., Feng, Z., Cao, M., Li, Z. & Zhang, J. Forest structure and biomass of a tropical seasonal rain forest in Xishuangbanna, southwest China. Biotropica 38, 318–327 (2006).

    Article 

    Google Scholar 

  • 90.

    Návar, J. Root stock biomass and productivity assessments of reforested pine stands in northern Mexico. For. Ecol. Manage. 338, 139–147 (2015).

    Article 

    Google Scholar 

  • 91.

    Wang, X., Fang, J. & Zhu, B. Forest biomass and root–shoot allocation in northeast China. For. Ecol. Manage. 255, 4007–4020 (2008).

    Article 

    Google Scholar 

  • 92.

    Chen, D. K., Zhou, X. F., Zhao, H. X., Wang, Y. H. & Jing, Y. Y. Study on the structure, function and succession of the four types in natural secondary forest. J. Northeast For. Univ. 2, 1–20 (1982).

    Google Scholar 

  • 93.

    Chidumayo, E. N. Estimating tree biomass and changes in root biomass following clear-cutting of Brachystegia-Julbernardia (miombo) woodland in central Zambia. Environ. Conserv. 41, 54–63 (2014).

    Article 

    Google Scholar 

  • 94.

    Coll, L., Potvin, C., Messier, C. & Delagrange, S. Root architecture and allocation patterns of eight native tropical species with different successional status used in open-grown mixed plantations in Panama. Trees 22, 585–596 (2008).

    Article 

    Google Scholar 

  • 95.

    Das, D. K. & Chaturvedi, O. P. Structure and function of Populus deltoides agroforestry systems in eastern India: 1. dry matter dynamics. Agrofor. Syst. 65, 215–221 (2005).

    Article 

    Google Scholar 

  • 96.

    Ni, J. Estimating net primary productivity of grasslands from field biomass measurements in temperate northern China. Plant Ecol. 174, 217–234 (2011).

    Article 

    Google Scholar 

  • 97.

    Olson, R. et al. NPP Multi-Biome: Summary Data from Intensive Studies at 125 Sites, 1936–2006 (ORNL DAAC, accessed 19 June 2019); https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1352

  • 98.

    Perez, C. A. & Frangi, J. L. Grassland biomass dynamics along an altitudinal gradient in the pampa. J. Range Manage. 53, 518–528 (2007).

    Article 

    Google Scholar 

  • 99.

    Perez-Quezada, J. F. F., Delpiano, C. A. A., Snyder, K. A. A., Johnson, D. A. A. & Franck, N. Carbon pools in an arid shrubland in Chile under natural and afforested conditions. J. Arid Environ. 75, 29–37 (2011).

    Article 

    Google Scholar 

  • 100.

    Pornon, A., Boutin, M. & Lamaze, T. Contribution of plant species to the high N retention capacity of a subalpine meadow undergoing elevated N deposition and warming. Environ. Pollut. 245, 235–242 (2019).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 101.

    Ramakrishnan, P. S. & Ram, S. C. Vegetation, biomass and productivity of seral grasslands of Cherrapunji in north-east India. Vegetatio 74, 47–53 (1988).

    Article 

    Google Scholar 

  • 102.

    Shaver, G. R., Laundre, J. A., Giblin, A. E. & Nadelhoffer, K. J. Changes in live plant biomass, primary production, and species composition along a riverside toposequence in Arctic Alaska, USA. Arct. Alp. Res. 28, 363–379 (2006).

    Article 

    Google Scholar 

  • 103.

    Smith, J. M. B. & Klinger, L. F. Aboveground:belowground phytomass ratios in Venezuelan paramo vegetation and their significance. Arct. Alp. Res. 17, 189–198 (2006).

    Article 

    Google Scholar 

  • 104.

    Sun, J. et al. Effects of grazing regimes on plant traits and soil nutrients in an alpine steppe, northern Tibetan Plateau. PLoS ONE 9, e108821 (2014).

    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 

  • 105.

    Wang, P. et al. Belowground plant biomass allocation in tundra ecosystems and its relationship with temperature. Environ. Res. Lett. 11, 055003 (2016).

    Article 
    CAS 

    Google Scholar 

  • 106.

    Yang, Y., Fang, J., Ji, C. & Han, W. Above- and belowground biomass allocation in Tibetan grasslands. J. Veg. Sci. 20, 177–184 (2009).

    Article 

    Google Scholar 

  • 107.

    Yang, Y., Fang, J., Ma, W., Guo, D. & Mohammat, A. Large-scale pattern of biomass partitioning across China’s grasslands. Glob. Ecol. Biogeogr. 19, 268–277 (2010).

    Article 

    Google Scholar 

  • 108.

    Geng, H. L., Wang, Y. H., Wang, F. Y. & Jia, B. R. The dynamics of root-shoot ratio and its environmental effective factors of recovering Leymus chinensis steppe vegetation in Inner Mongolia, China. Acta Ecol. Sin. 28, 4629–4634 (2008).

    Article 

    Google Scholar 

  • 109.

    Hui, D. & Jackson, R. B. Geographical and interannual variability in biomass partitioning in grassland ecosystems: a synthesis of field data. New Phytol. 169, 85–93 (2006).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 110.

    Jouquet, P., Tavernier, V., Abbadie, L. & Lepage, M. Nests of subterranean fungus-growing termites (Isoptera, Macrotermitinae) as nutrient patches for grasses in savannah ecosystems. Afr. J. Ecol. 43, 191–196 (2005).

    Article 

    Google Scholar 

  • 111.

    Leonid, U. et al. Impact of climate and grazing on biomass components of eastern Russia typical steppe. J. Integr. Agric. 13, 1183–1192 (2014).

    Article 

    Google Scholar 

  • 112.

    Lucash, M. S., Farnsworth, B. & Winner, W. E. Response of sagebrush steppe species to elevated CO2 and soil temperature. West. N. Am. Nat. 65, 80–86 (2005).

    Google Scholar 

  • 113.

    Luo, W. et al. Patterns of plant biomass allocation in temperate grasslands across a 2500-km transect in northern China. PLoS ONE 8, e71749 (2013).

    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 114.

    Barbour, M. G. Desert dogma reexamined: root/shoot productivity and plant spacing. Am. Midl. Nat. 89, 41–57 (1973).

    Article 

    Google Scholar 

  • 115.

    Becker, P., Sharbini, N. & Yahya, R. Root architecture and root:shoot allocation of shrubs and saplings in two lowland tropical forests: implications for life-form composition. Biotropica 31, 93–101 (1999).

    Google Scholar 

  • 116.

    Becker, P. & Castillo, A. Root architecture of shrubs and saplings in the understory of a tropical moist forest in lowland Panama. Biotropica 22, 242–249 (1990).

    Article 

    Google Scholar 

  • 117.

    Beier, C. et al. Carbon and nitrogen balances for six shrublands across Europe. Glob. Biogeochem. Cycles 23, GB4008 (2009).

    Article 
    CAS 

    Google Scholar 

  • 118.

    Bhatt, Y. D., Rawat, Y. S. & Singh, S. P. Changes in ecosystem functioning after replacement of forest by Lantana shrubland in Kumaun Himalaya. J. Veg. Sci. 5, 67–70 (1994).

    Article 

    Google Scholar 

  • 119.

    Caldwell, M. M., White, R. S., Moore, R. T. & Camp, L. B. Carbon balance, productivity, and water use of cold-winter desert shrub communities dominated by C3 and C4 species. Oecologia 29, 275–300 (1977).

    PubMed 
    Article 

    Google Scholar 

  • 120.

    De Viñas, I. C. R. et al. Biomass of root and shoot systems of Quercus coccifera shrublands in eastern Spain. Ann. For. Sci. 57, 803–810 (2000).

    Article 

    Google Scholar 

  • 121.

    Caravaca, F., Figueroa, D., Alguacil, M. M. & Roldán, A. Application of composted urban residue enhanced the performance of afforested shrub species in a degraded semiarid land. Bioresour. Technol. 90, 65–70 (2003).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 122.

    Caravaca, F., Figueroa, D., Azcón-Aguilar, C., Barea, J. M. & Roldán, A. Medium-term effects of mycorrhizal inoculation and composted municipal waste addition on the establishment of two Mediterranean shrub species under semiarid field conditions. Agric. Ecosyst. Environ. 97, 95–105 (2003).

    Article 

    Google Scholar 

  • 123.

    Carrasco, L., Azcón, R., Kohler, J., Roldán, A. & Caravaca, F. Comparative effects of native filamentous and arbuscular mycorrhizal fungi in the establishment of an autochthonous, leguminous shrub growing in a metal-contaminated soil. Sci. Total Environ. 409, 1205–1209 (2011).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 124.

    Carrillo-Garcia, Á., Bashan, Y. & Bethlenfalvay, G. J. Resource-island soils and the survival of the giant cactus, cardon, of Baja California Sur. Plant Soil 218, 207–214 (2000).

    CAS 
    Article 

    Google Scholar 

  • 125.

    Carrión-Prieto, P. et al. Mediterranean shrublands as carbon sinks for climate change mitigation: new root-to-shoot ratios. Carbon Manage. 8, 67–77 (2017).

    Article 
    CAS 

    Google Scholar 

  • 126.

    Deng, L., Han, Q. S., Zhang, C., Tang, Z. S. & Shangguan, Z. P. Above-ground and below-ground ecosystem biomass accumulation and carbon sequestration with Caragana korshinskii Kom plantation development. Land Degrad. Dev. 28, 906–917 (2017).

    Article 

    Google Scholar 

  • 127.

    Perkins, S. R. & Owens, M. K. Growth and biomass allocation of shrub and grass seedlings in response to predicted changes in precipitation seasonality. Plant Ecol. 168, 107–120 (2003).

    Article 

    Google Scholar 

  • 128.

    Gargaglione, V., Peri, P. L. & Rubio, G. Allometric relations for biomass partitioning of Nothofagus antarctica trees of different crown classes over a site quality gradient. For. Ecol. Manage. 259, 1118–1126 (2010).

    Article 

    Google Scholar 

  • 129.

    Hao, H. M. et al. Effects of shrub patch size succession on plant diversity and soil water content in the water-wind erosion crisscross region on the Loess Plateau. Catena 144, 177–183 (2016).

    Article 

    Google Scholar 

  • 130.

    Herwitz, S. R. & Olsvig-Whittaker, L. Preferential upslope growth of Zygophyllum dumosum Boiss. (Zygophyllaceae) roots into bedrock fissures in the northern Negev desert. J. Biogeogr. 16, 457–460 (1989).

    Article 

    Google Scholar 

  • 131.

    Hoffmann, A. & Kummerow, J. Root studies in the Chilean matorral. Oecologia 32, 57–69 (1978).

    PubMed 
    Article 

    Google Scholar 

  • 132.

    Holl, K. D. Effects of above- and below-ground competition of shrubs and grass on Calophyllum brasiliense (Camb.) seedling growth in abandoned tropical pasture. For. Ecol. Manage. 109, 187–195 (1998).

    Article 

    Google Scholar 

  • 133.

    Hollister, R. D. & Flaherty, K. J. Above- and below-ground plant biomass response to experimental warming in northern Alaska. Appl. Veg. Sci. 13, 378–387 (2010).

    Google Scholar 

  • 134.

    Kizito, F. et al. Seasonal soil water variation and root patterns between two semi-arid shrubs co-existing with pearl millet in Senegal, West Africa. J. Arid Environ. 67, 436–455 (2006).

    Article 

    Google Scholar 

  • 135.

    Kummerow, J., Krause, D. & Jow, W. Root systems of chaparral shrubs. Oecologia 29, 163–177 (1977).

    PubMed 
    Article 

    Google Scholar 

  • 136.

    León, M. F., Squeo, F. A., Gutiérrez, J. R. & Holmgren, M. Rapid root extension during water pulses enhances establishment of shrub seedlings in the Atacama Desert. J. Veg. Sci. 22, 120–129 (2011).

    Article 

    Google Scholar 

  • 137.

    Li, C. P. & Xiao, C. W. Above- and belowground biomass of Artemisia ordosica communities in three contrasting habitats of the Mu Us Desert, northern China. J. Arid Environ. 70, 195–207 (2007).

    Article 

    Google Scholar 

  • 138.

    Liang, Y. M., Hazlett, D. L. & Lauenroth, W. K. Biomass dynamics and water use efficiencies of five plant communities in the shortgrass steppe. Oecologia 80, 148–153 (1989).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 139.

    Zan, Q., Wang, Y., Liao, B. & Zheng, D. Biomass and net productivity of Sonneratia apetala, S. caseolaris mangrove man-made forest. Wuhan Bot. Res. 19, 391–396 (2001).

    Google Scholar 

  • 140.

    Liao, B., Zheng, D. & Zheng, S. Studies on the biomass of Sonneratia caseolaris stand. For. Res. 3, 47–54 (1990).

    Google Scholar 

  • 141.

    Lufafa, A. et al. Allometric relationships and peak-season community biomass stocks of native shrubs in Senegal’s Peanut Basin. J. Arid Environ. 73, 260–266 (2009).

    Article 

    Google Scholar 

  • 142.

    Lusk, C. H. Leaf area and growth of juvenile temperate evergreens in low light: species of contrasting shade tolerance change rank during ontogeny. Funct. Ecol. 18, 820–828 (2004).

    Article 

    Google Scholar 

  • 143.

    Marsh, A. S., Arnone, J. A., Bormann, B. T. & Gordon, J. C. The role of Equisetum in nutrient cycling in an Alaskan shrub wetland. J. Ecol. 88, 999–1011 (2000).

    Article 

    Google Scholar 

  • 144.

    Martínez, F. et al. Belowground structure and production in a Mediterranean sand dune shrub community. Plant Soil 201, 209–216 (1998).

    Article 

    Google Scholar 

  • 145.

    Marziliano, P. A. et al. Estimating belowground biomass and root/shoot ratio of Phillyrea latifolia L. in the Mediterranean forest landscapes. Ann. For. Sci. 72, 585–593 (2015).

    Article 

    Google Scholar 

  • 146.

    Mauchamp, A., Montaña, C., Lepart, J., Rambal, S. & Montana, C. Ecotone dependent recruitment of a desert shrub, Flourensia cernua, in vegetation stripes. Oikos 68, 107–116 (1993).

    Article 

    Google Scholar 

  • 147.

    Mendoza-Ponce, A. & Galicia, L. Aboveground and belowground biomass and carbon pools in highland temperate forest landscape in central Mexico. Forestry 83, 497–506 (2010).

    Article 

    Google Scholar 

  • 148.

    Miller, P. C. & Ng, E. Root:shoot biomass ratios in shrubs in southern California and central Chile. Madrono 24, 215–223 (1977).

    Google Scholar 

  • 149.

    Mooney, H. A. & Rundel, P. W. Nutrient relations of the evergreen shrub, Adenostoma fasciculatum, in the California chaparral. Bot. Gaz. 140, 109–113 (1979).

    CAS 
    Article 

    Google Scholar 

  • 150.

    Moro, M. J., Pugnaire, F. I., Haase, P. & Puigdefábregas, J. Effect of the canopy of Retama sphaerocarpa on its understorey in a semiarid environment. Funct. Ecol. 11, 425–431 (1997).

    Article 

    Google Scholar 

  • 151.

    Negreiros, D., Fernandes, G. W., Silveira, F. A. O. & Chalub, C. Seedling growth and biomass allocation of endemic and threatened shrubs of rupestrian fields. Acta Oecol. 35, 301–310 (2009).

    Article 

    Google Scholar 

  • 152.

    Nie, X., Yang, Y., Yang, L. & Zhou, G. Above- and belowground biomass allocation in shrub biomes across the northeast Tibetan Plateau. PLoS ONE 11, e0154251 (2016).

    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 

  • 153.

    Nobel, P. S., Quero, E. & Linares, H. Root versus shoot biomass: responses to water, nitrogen, and phosphorus applications for Agave lechuguilla. Bot. Gaz. 150, 411–416 (1989).

    Article 

    Google Scholar 

  • 154.

    Pacaldo, R. S., Volk, T. A. & Briggs, R. D. Greenhouse gas potentials of shrub willow biomass crops based on below- and aboveground biomass inventory along a 19-year chronosequence. Bioenergy Res. 6, 252–262 (2013).

    CAS 
    Article 

    Google Scholar 

  • 155.

    Padilla, F. M., Miranda, J. D., Jorquera, M. J. & Pugnaire, F. I. Variability in amount and frequency of water supply affects roots but not growth of arid shrubs. Plant Ecol. 204, 261–270 (2009).

    Article 

    Google Scholar 

  • 156.

    Portsmuth, A., Niinemets, Ü., Truus, L. & Pensa, M. Biomass allocation and growth rates in Pinus sylvestris are interactively modified by nitrogen and phosphorus availabilities and by tree size and age. Can. J. For. Res. 35, 2346–2359 (2005).

    CAS 
    Article 

    Google Scholar 

  • 157.

    Roth, G. A., Whitford, W. G. & Steinberger, Y. Jackrabbit (Lepus californicus) herbivory changes dominance in desertified Chihuahuan Desert ecosystems. J. Arid Environ. 70, 418–426 (2007).

    Article 

    Google Scholar 

  • 158.

    Ruiz-Peinado, R., Moreno, G., Juarez, E., Montero, G. & Roig, S. The contribution of two common shrub species to aboveground and belowground carbon stock in Iberian dehesas. J. Arid Environ. 91, 22–30 (2013).

    Article 

    Google Scholar 

  • 159.

    Rundel, P. W. Biomass, productivity, and nutrient allocation in subalpine shrublands and meadows of the Emerald Lake Basin, Sequoia National Park, California. Arct. Antarct. Alp. Res. 47, 115–123 (2015).

    Article 

    Google Scholar 

  • 160.

    Millikin, C. S. & Bledsoe, C. S. Biomass and distribution of fine and coarse roots from blue oak (Quercus douglasii) trees in the northern Sierra Nevada foothills of California. Plant Soil 214, 27–38 (1999).

    CAS 
    Article 

    Google Scholar 

  • 161.

    Saura-Mas, S. & Lloret, F. Adult root structure of Mediterranean shrubs: relationship with post-fire regenerative syndrome. Plant Biol. 16, 147–154 (2014).

    CAS 
    PubMed 
    Article 
    PubMed Central 

    Google Scholar 

  • 162.

    Schenk, H. J. & Mahall, B. E. Positive and negative plant interactions contribute to a north-south-patterned association between two desert shrub species. Oecologia 132, 402–410 (2002).

    PubMed 
    Article 

    Google Scholar 

  • 163.

    Silva, J. S., Rego, F. C. & Martins-Loução, M. A. Belowground traits of Mediterranean woody plants in a Portuguese shrubland. Ecol. Mediterr. 28, 5–13 (2002).

    Article 

    Google Scholar 

  • 164.

    Simões, M. P., Madeira, M. & Gazarini, L. Biomass and nutrient dynamics in Mediterranean seasonal dimorphic shrubs: strategies to face environmental constraints. Plant Biosyst. 146, 500–510 (2012).

    Google Scholar 

  • 165.

    Tao, Y., Zhang, Y. M. & Downing, A. Similarity and difference in vegetation structure of three desert shrub communities under the same temperate climate but with different microhabitats. Bot. Stud. 54, 59 (2013).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 166.

    Toscano, S., Scuderi, D., Giuffrida, F. & Romano, D. Responses of Mediterranean ornamental shrubs to drought stress and recovery. Sci. Hortic. 178, 145–153 (2014).

    Article 

    Google Scholar 

  • 167.

    Trubat, R., Cortina, J. & Vilagrosa, A. Nutrient deprivation improves field performance of woody seedlings in a degraded semi-arid shrubland. Ecol. Eng. 37, 1164–1173 (2011).

    Article 

    Google Scholar 

  • 168.

    Van Wijk, M. T., Williams, M., Gough, L., Hobbie, S. E. & Shaver, G. R. Luxury consumption of soil nutrients: a possible competitive strategy in above-ground and below-ground biomass allocation and root morphology for slow-growing arctic vegetation? J. Ecol. 91, 664–676 (2003).

    Article 

    Google Scholar 

  • 169.

    Walker, L. R., Clarkson, B. D., Silvester, W. B. & Clarkson, B. R. Colonization dynamics and facilitative impacts of a nitrogen-fixing shrub in primary succession. J. Veg. Sci. 14, 277–290 (2003).

    Article 

    Google Scholar 

  • 170.

    Wang, B. & Yang, X. S. Comparison of biomass and species diversity of four typical zonal vegetations. J. Fujian Coll. For. 29, 345–350 (2009).

    Google Scholar 

  • 171.

    Wang, M. & Li, H. Quantitative study on the soil water dynamics of various forest plantations in the Loess Plateau region in northwestern Shanxi. Acta Ecol. Sin. 2, 178–184 (1995).

    Google Scholar 

  • 172.

    Wang, P. et al. Seasonal changes and vertical distribution of root standing biomass of graminoids and shrubs at a Siberian tundra site. Plant Soil 407, 55–65 (2016).

    CAS 
    Article 

    Google Scholar 

  • 173.

    Whittaker, R. H. & Woodwell, G. M. Dimension and production relations of trees and shrubs in the Brookhaven Forest, New York. J. Ecol. 56, 1–25 (1968).

    Article 

    Google Scholar 

  • 174.

    Xu, H., Li, Y., Xu, G. & Zou, T. Ecophysiological response and morphological adjustment of two Central Asian desert shrubs towards variation in summer precipitation. Plant Cell Environ. 30, 399–409 (2007).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 175.

    Yan, Z. Biomass and its allocation in a 28-year-old Castanopsis kawakamii plantation. J. Fujian Coll. For. 2, 114–118 (1996).

    Google Scholar 

  • 176.

    Gong, Y. et al. Carbon storage and vertical distribution in three shrubland communities in Gurbantünggüt Desert, Uygur Autonomous Region of Xinjiang, northwest China. Chin. Geogr. Sci. 22, 541–549 (2012).

    Article 

    Google Scholar 

  • 177.

    Yu, Y., Shi, D., Qiuyi, J., He, L. & Cheng, G. On the biomass of secondary Schima superba forest in Hangzhou. J. Zhejiang For. Coll. 2, 157–161 (1993).

    Google Scholar 

  • 178.

    Kato, T. et al. Carbon dioxide exchange between the atmosphere and an alpine meadow ecosystem on the Qinghai-Tibetan Plateau, China. Agric. Meteorol. 124, 121–134 (2004).

    Article 

    Google Scholar 

  • 179.

    Li, Z., Zhu, Q. & Li, J. A comparison of photosynthetic carbon sequestration of four shrubs in Ningxia. Pratacultural Sci. 29, 352–357 (2012).

    CAS 

    Google Scholar 

  • 180.

    Zhu, X., Shi, Q. & Li, Y. A preliminary study on the Qinghai’s treasure house of the forest biomass and shrubs. Sci. Technol. Qinghai Agric. For. 1, 15–20 (1993).

    Google Scholar 

  • 181.

    Liao, B. & Zheng, D. Study on the forest biomass and productivity of olive wood. For. Res. 4, 22–29 (1991).

    Google Scholar 

  • 182.

    Liu, B., Liu, Z., Lü, X., Maestre, F. T. & Wang, L. Sand burial compensates for the negative effects of erosion on the dune-building shrub Artemisia wudanica. Plant Soil 374, 263–273 (2014).

    CAS 
    Article 

    Google Scholar 

  • 183.

    Alguacil, M. M., Hernández, J. A., Caravaca, F., Portillo, B. & Roldán, A. Antioxidant enzyme activities in shoots from three mycorrhizal shrub species afforested in a degraded semi-arid soil. Physiol. Plant. 118, 562–570 (2003).

    CAS 
    Article 

    Google Scholar 

  • 184.

    Axe, M. S., Grange, I. D. & Conway, J. S. Carbon storage in hedge biomass—a case study of actively managed hedges in England. Agric. Ecosyst. Environ. 250, 81–88 (2017).

    Article 

    Google Scholar 

  • 185.

    van den Hoogen, J. et al. Soil nematode abundance and functional group composition at a global scale. Nature 572, 194–198 (2019).

    PubMed 
    Article 
    CAS 

    Google Scholar 

  • 186.

    Erin, L. et al. h2o: R Interface for the ‘H2O’ Scalable Machine Learning Platform. R package v.3.32.0.2 (2020); https://github.com/h2oai/h2o-3

  • 187.

    Sagi, O. & Rokach, L. Ensemble learning: a survey. WIREs Data Min. Knowl. Discov. 8, e1249 (2018).

    Google Scholar 

  • 188.

    R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2019).

  • 189.

    Gorelick, N. et al. Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens. Environ. 202, 18–27 (2017).

    Article 

    Google Scholar 

  • 190.

    Heiberger, R. M. HH: Statistical Analysis and Data Display: Heiberger and Holland (2020).

  • 191.

    Hothorn, T. & Zeileis, A. partykit: A modular toolkit for recursive partytioning in R. J. Mach. Learn. Res. 16, 3905–3909 (2015).

    Google Scholar 

  • 192.

    Borkovec, M. & Madin, N. ggparty: ‘ggplot’ visualizations for the ‘partykit’ package (2019).

  • 193.

    Dormann, C. F. Effects of incorporating spatial autocorrelation into the analysis of species distribution data. Glob. Ecol. Biogeogr. 16, 129–138 (2007).

    Article 

    Google Scholar 

  • 194.

    Hutchinson, M., Xu, T., Houlder, D., Nix, H. & McMahon, J. ANUCLIM 6.0 User’s Guide (Australian National Univ., 2009).

  • 195.

    Fick, S. E. & Hijmans, R. J. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).

    Article 

    Google Scholar 

  • 196.

    Global Aridity and PET database (CGIAR-CSI, accessed 15 May 2018); http://www.cgiarcsi.community/data/global-aridity-and-pet-database

  • 197.

    CIESIN Gridded Population of the World, version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals (NASA SEDAC, 2018); https://doi.org/10.7927/H4HX19NJ

  • 198.

    Venter, O. et al. Global terrestrial human footprint maps for 1993 and 2009. Sci. Data 3, 160067 (2016).

    PubMed 
    PubMed Central 
    Article 

    Google Scholar 

  • 199.

    SoilGrids (ISRIC, accessed 15 May 2018); https://www.soilgrids.org

  • 200.

    Entekhabi, D. et al. The soil moisture active passive (SMAP) mission. Proc. IEEE 98, 704–716 (2010).

    Article 

    Google Scholar 

  • 201.

    Fan, Y., Li, H. & Miguez-Macho, G. Global patterns of groundwater table depth. Science 339, 940–943 (2013).

    CAS 
    PubMed 
    Article 

    Google Scholar 

  • 202.

    Batjes, N. H. Harmonized soil property values for broad-scale modelling (WISE30sec) with estimates of global soil carbon stocks. Geoderma 269, 61–68 (2016).

    CAS 
    Article 

    Google Scholar 

  • 203.

    Schaaf, C. & Wang, Z. MCD43A1 MODIS/Terra+Aqua BRDF/Albedo Model Parameters Daily L3 Global – 500m V006 (NASA LP DAAC, 2015); https://doi.org/10.5067/MODIS/MCD43A1C.006

  • 204.

    Didan, K. MOD13Q1 MODIS/Terra Vegetation Indices 16-Day L3 Global 250m SIN Grid V006 (NASA LP DAAC, 2015).

  • 205.

    Crowther, T. W. et al. Mapping tree density at a global scale. Nature 525, 201–205 (2015).

    CAS 
    PubMed 
    Article 

    Google Scholar 


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