Drivers of woody dominance across global drylands

  1. Biancari, Lucio 3536
  2. Aguiar, Martín R. 3536
  3. Eldridge, David J. 84
  4. Oñatibia, Gastón R. 3536
  5. Le Bagousse-Pinguet, Yoann 68
  6. Saiz, Hugo 7273
  7. Gross, Nicolas 47
  8. Austin, Amy T. 3536
  9. Ochoa, Victoria 1644
  10. Gozalo, Beatriz 16
  11. Asensio, Sergio 16
  12. Guirado, Emilio 16
  13. Valencia, Enrique 8
  14. Berdugo, Miguel 8
  15. Plaza, César 44
  16. Martínez-Valderrama, Jaime 16
  17. Mendoza, Betty J. 83
  18. García-Gómez, Miguel 14
  19. Abedi, Mehdi 18
  20. Ahumada, Rodrigo J. 42
  21. Alcántara, Julio M. 21
  22. Amghar, Fateh 85
  23. Anadón, José D. 17
  24. Aramayo, Valeria 1
  25. Arredondo, Tulio 24
  26. Bader, Maaike Y. 50
  27. Bahalkeh, Khadijeh 18
  28. Salem, Farah Ben 57
  29. Blaum, Niels 4
  30. Boldgiv, Bazartseren 30
  31. Bowker, Matthew 5859
  32. Branquinho, Cristina 46
  33. Bu, Chongfeng 2829
  34. Byambatsogt, Batbold 54
  35. Calvo, Dianela A. 67
  36. Castillo Monroy, Andrea P. 26
  37. Castro, Helena 45
  38. Castro-Quezada, Patricio 31
  39. Chibani, Roukaya 74
  40. Conceição, Abel A. 6
  41. Currier, Courtney M. 7
  42. Donoso, David A. 26
  43. Dougill, Andrew 69
  44. Ejtehadi, Hamid 53
  45. Espinosa, Carlos I. 52
  46. Fajardo, Alex 81
  47. Farzam, Mohammad 82
  48. Ferrante, Daniela 1112
  49. Fraser, Lauchlan H. 3
  50. Gaitán, Juan J. 61
  51. Gherardi, Laureano A. 55
  52. Gusmán-Montalván, Elizabeth 52
  53. Hernández-Hernández, Rosa M. 25
  54. Hölzel, Norbert 66
  55. Huber-Sannwald, Elisabeth 24
  56. Hughes, Frederic M. 64849
  57. Jadán, Oswaldo 31
  58. Jeltsch, Florian 45
  59. Jentsch, Anke 9
  60. Ju, Mengchen 29
  61. Kaseke, Kudzai F. 63
  62. Kindermann, Liana 76
  63. Köbel, Melanie 46
  64. le Roux, Peter C. 34
  65. Liancourt, Pierre 134041
  66. Linstädter, Anja 7677
  67. Liu, Jushan 2
  68. Louw, Michelle A. 34
  69. Maggs-Kölling, Gillian 27
  70. Issa, Oumarou Malam 62
  71. Marais, Eugene 27
  72. Margerie, Pierre 70
  73. Messeder, João Vitor S. 22
  74. Mora, Juan P. 51
  75. Moreno, Gerardo 19
  76. Munson, Seth M. 32
  77. Oliva, Gabriel 1112
  78. Pueyo, Yolanda 17
  79. Quiroga, R. Emiliano 4243
  80. Reed, Sasha C. 56
  81. Rey, Pedro J. 15
  82. Rodríguez, Alexandra 37
  83. Rodríguez, Laura B. 67
  84. Rolo, Víctor 19
  85. Ruppert, Jan C. 13
  86. Sala, Osvaldo 3839
  87. Salah, Ayman 78
  88. Stavi, Ilan 23
  89. Stephens, Colton R. A. 3
  90. Swemmer, Anthony M. 33
  91. Teixido, Alberto L. 8
  92. Thomas, Andrew D. 87
  93. Throop, Heather L. 7980
  94. Tielbörger, Katja 13
  95. Travers, Samantha K. 6465
  96. van den Brink, Liesbeth 1360
  97. Wagner, Viktoria 75
  98. Wamiti, Wanyoike 86
  99. Wang, Deli 2
  100. Wang, Lixin 71
  101. Wolff, Peter 9
  102. Yahdjian, Laura 3536
  103. Zaady, Eli 10
  104. Maestre, Fernando T. 20
  105. Montrer des auteurs +
  1. 1 Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experimental Agropecuaria Bariloche, Bariloche, Río Negro, Argentina.
  2. 2 Key Laboratory of Vegetation Ecology of the Ministry of Education, Jilin Songnen Grassland Ecosystem National Observation and Research Station, Northeast Normal University, Changchun 130024, China.
  3. 3 Thompson Rivers University, Department of Biological Sciences, Kamloops, BC V2C 0C8, Canada.
  4. 4 University of Potsdam, Plant Ecology and Conservation Biology, Potsdam, Germany.
  5. 5 Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany.
  6. 6 Departamento de Ciências Biológicas da Universidade Estadual de Feira de Santana, Bahia, Brasil.
  7. 7 Department of Plant Sciences, University of Cambridge, Cambridge CB2 3EA, UK.
  8. 8 Departamento de Biodiversidad, Ecología y Evolución, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, José Antonio Novais 12, Madrid 28040, Spain.
  9. 9 Disturbance Ecology and Vegetation Dynamics, Bayreuth Center of Ecology and Environmental Research, University of Bayreuth, Bayreuth, Germany.
  10. 10 Department of Natural Resources, Agricultural Research Organization, Institute of Plant Sciences, Gilat Research Center, Mobile Post Negev 2, 8531100 Gilat, Israel.
  11. 11 Instituto Nacional de Tecnología Agropecuaria EEA Santa Cruz, Río Gallegos, Santa Cruz, Argentina.
  12. 12 Universidad Nacional de la Patagonia Austral, Río Gallegos, Santa Cruz, Argentina.
  13. 13 Plant Ecology Group, University of Tübingen, Tübingen, Germany.
  14. 14 Departamento de Ingeniería y Morfología del Terreno, Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Madrid, Spain.
  15. 15 Departamento de Biología Animal, Biología Vegetal y Ecología, Universidad de Jaén, Jaén E-23071, Spain.
  16. 16 Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef”, Universidad de Alicante, Carretera de San Vicente del Raspeig s/n, Alicante, Spain.
  17. 17 Pyrenean Institute of Ecology (IPE, CSIC), Montañana Avenue 1005, Zaragoza 50059, Spain.
  18. 18 Department of Range Management, Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Mazandaran Province, I. R., Iran.
  19. 19 INDEHESA, Forestry School, University of Extremadura, Plasencia 10600, Spain.
  20. 20 Environmental Sciences and Engineering, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Kingdom of Saudi Arabia.
  21. 21 Instituto Interuniversitario de Investigación del Sistema Tierra en Andalucía, Universidad de Jaén, Jaén E-23071, Spain.
  22. 22 Biology Department and Ecology Program, The Pennsylvania State University, University Park, PA 16802, USA.
  23. 23 Dead Sea and Arava Science Center, Yotvata 88820, Israel.
  24. 24 Instituto Potosino de Investigación Científica y Tecnológica, A.C., San Luis Potosí, México.
  25. 25 Universidad Nacional Experimental Simón Rodríguez (UNESR), Instituto de Estudios Científicos y Tecnológicos (IDECYT), Centro de Estudios de Agroecología Tropical (CEDAT), Miranda, Venezuela.
  26. 26 Grupo de Investigación en Biodiversidad, Medio Ambiente y Salud-BIOMAS, Universidad de Las Américas, Quito, Ecuador.
  27. 27 Gobabeb-Namib Research Institute, Walvis Bay, Namibia.
  28. 28 Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China.
  29. 29 Institute of Soil and Water Conservation, Chinese Academy of Sciences, and Ministry of Water Resources, Yangling 712100, Shaanxi, China.
  30. 30 Department of Biology, National University of Mongolia, Ulaanbaatar 14201, Mongolia.
  31. 31 Universidad de Cuenca, Facultad de Ciencias Agropecuarias, Carrera de Agronomía, Cuenca, Ecuador.
  32. 32 U.S. Geological Survey, Southwest Biological Science Center, Flagstaff, AZ 86001, USA.
  33. 33 South African Environmental Observation Network (SAEON), Phalaborwa, Kruger National Park, South Africa.
  34. 34 Department of Plant and Soil Sciences, University of Pretoria, Pretoria, South Africa.
  35. 35 IFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina.
  36. 36 Cátedra de Ecología, Departamento de Recursos Naturales y Ambiente, Facultad de Agronomía, UBA, Buenos Aires, Argentina.
  37. 37 Misión Biológica de Galicia, Consejo Superior de Investigaciones Científicas, 36143 Pontevedra, Spain.
  38. 38 School of Sustainability, Arizona State University, Tempe, AZ 85287, USA.
  39. 39 Global Drylands Center, Arizona State University, Tempe, AZ 85287, USA.
  40. 40 Institute of Botany, Czech Academy of Sciences, Pruhonice, Czech Republic.
  41. 41 Institute Botany Department, State Museum of Natural History Stuttgart, Stuttgart, Germany.
  42. 42 Instituto Nacional de Tecnología Agropecuaria, Estación Experimental Agropecuaria Catamarca, Catamarca, Argentina.
  43. 43 Cátedra de Manejo de Pastizales Naturales, Facultad de Ciencias Agrarias, Universidad Nacional de Catamarca, Catamarca, Argentina.
  44. 44 Instituto de Ciencias Agrarias, Consejo Superior de Investigaciones Científicas, Madrid, Spain.
  45. 45 University of Coimbra, Centre for Functional Ecology, Department of Life Sciences, Coimbra, Portugal.
  46. 46 Centre for Ecology, Evolution and Environmental Changes (cE3c) and Global Change and Sustainability Institute (CHANGE), Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
  47. 47 Université Clermont Auvergne, INRAE, VetAgro Sup, Unité Mixte de Recherche Ecosystème Prairial, Clermont-Ferrand, France.
  48. 48 Programa de Pós-graduação em Zoologia e Conselho de Curadores das Coleções Científicas, Universidade Estadual de Santa Cruz, Rodovia Jorge Amado, 45662-900 Ilhéus, Bahia, Brasil.
  49. 49 Programa de Pós-graduação em Bioinformática, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 31270-901 Pampulha, Belo Horizonte MG, Brasil.
  50. 50 Ecological Plant Geography, Faculty of Geography, University of Marburg, Marburg, Germany.
  51. 51 Doctoral Program in Sciences mention in Plant Biology and Biotechnology, Institute of Biological Sciences, Campus Talca, Universidad de Talca, Talca, Chile.
  52. 52 Laboratorio de Ecología Tropical y Servicios Ecosistémicos, Universidad Técnica Particular de Loja, Loja, Ecuador.
  53. 53 Department of Biology, Faculty of Science, Ferdowsi University of Mashhad, Mashhad, Iran.
  54. 54 Professional Biological Society of Mongolia, Ulaanbaatar 14201, Mongolia.
  55. 55 Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA 94720, USA.
  56. 56 US Geological Survey, Southwest Biological Science Center, Moab, UT 84532, USA.
  57. 57 Laboratory of Pastoral Ecosystems and Promotion of Spontaneous plants and Associated Microorganisms (LR16IRA03), Institut des Régions Arides (IRA), Médenine, Tunisia.
  58. 58 School of Forestry, Northern Arizona University, Flagstaff, AZ 86011, USA.
  59. 59 Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ 86011, USA.
  60. 60 ECOBIOSIS, Departement of Botany, University of Concepcion, Concepcion, Chile.
  61. 61 Universidad Nacional de Luján-CONICET, Luján, Buenos Aires, Argentina.
  62. 62 Institut d’Écologie et des Sciences de l'Environnement de Paris (iEES-Paris), Sorbonne Université, IRD, CNRS, INRAE, Université Paris Est Creteil, Université de Paris, Centre IRD de France Nord, Bondy, France.
  63. 63 Earth Research Institute, University of California Santa Barbara, Santa Barbara, CA 93106, USA.
  64. 64 Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
  65. 65 New South Wales Department of Climate Change, Energy, the Environment and Water, Locked Bag 2906, Lisarow, NSW 2250, Australia.
  66. 66 Institute of Landscape Ecology, University of Münster, Münster, Germany.
  67. 67 Universidad Nacional de Río Negro, Centro de Estudios Ambientales desde la Norpatagonia, Sede Atlántica, Río Negro, Argentina.
  68. 68 Aix Marseille Univ, CNRS, Avignon Université, IRD, IMBE, Aix-en-Provence, France.
  69. 69 Faculty of Sciences, University of York, UK.
  70. 70 Normandie Univ, UNIROUEN, INRAE, ECODIV, 76000 Rouen, France.
  71. 71 Department of Earth and Environmental Sciences, Indiana University Indianapolis, Indianapolis, IN 46202, USA.
  72. 72 Departamento de Ciencias Agrarias y Medio Natural, Escuela Politécnica Superior, Instituto Universitario de Investigación en Ciencias Ambientales de Aragón (IUCA), Universidad de Zaragoza, Huesca, Spain.
  73. 73 Institute of Plant Sciences, University of Bern, Bern, Switzerland.
  74. 74 Laboratory of Eremology and Combating Desertification, IRA, Institut des Régions Arides Medenine, Tunisia.
  75. 75 Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
  76. 76 University of Potsdam, Biodiversity Research/Systematic Botany, Potsdam, Germany.
  77. 77 University of Bonn, Institute of Crop Science and Resource Conservation, Bonn, Germany.
  78. 78 Al-Quds University, Abu Dis, Palestine.
  79. 79 School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.
  80. 80 School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA.
  81. 81 Instituto de Investigación Interdisciplinaria (I3), Vicerrectoría Académica, Universidad de Talca, Talca, Chile.
  82. 82 Department of Range and Watershed Management, Ferdowsi University of Mashhad, Mashhad, Iran.
  83. 83 Departamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Móstoles, Spain.
  84. 84 Department of Planning and Environment, c/o Centre for Ecosystem Science, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia.
  85. 85 Laboratoire Biodiversité, Biotechnologie, Environnement et Développement Durable (Biodev), Université M’hamed Bougara de Boumerdès, Avenue de l’indépendance, 35000 Boumerdès, Algeria.
  86. 86 Zoology Department, National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya.
  87. 87 Department of Geography and Earth Sciences, Aberystwyth University, Wales, UK.
Revue:
Science Advances

ISSN: 2375-2548

Année de publication: 2024

Volumen: 10

Número: 41

Type: Article

DOI: 10.1126/SCIADV.ADN6007 GOOGLE SCHOLAR lock_openAccès ouvert editor

D'autres publications dans: Science Advances

Résumé

Increases in the abundance of woody species have been reported to affect the provisioning of ecosystem services in drylands worldwide. However, it is virtually unknown how multiple biotic and abiotic drivers, such as climate, grazing, and fire, interact to determine woody dominance across global drylands. We conducted a standardized field survey in 304 plots across 25 countries to assess how climatic features, soil properties, grazing, and fire affect woody dominance in dryland rangelands. Precipitation, temperature, and grazing were key determinants of tree and shrub dominance. The effects of grazing were determined not solely by grazing pressure but also by the dominant livestock species. Interactions between soil, climate, and grazing and differences in responses to these factors between trees and shrubs were key to understanding changes in woody dominance. Our findings suggest that projected changes in climate and grazing pressure may increase woody dominance in drylands, altering their structure and functioning.

Information sur le financement

L.B. is sponsored by a postdoctoral fellowship of Agencia I+D+i (PICT 2019-2645) and a grant for a short-term research stay by the Universidad de Buenos Aires (UBACYT 20020170100687BA). F.T.M. acknowledges support from the King Abdullah University of Science and Technology (KAUST), the KAUST Climate and Livability Initiative, and the University of Alicante (UADIF22-74 and VIGROB22-350). M.R.A. is supported by grants from Agencia I+D+i (PICT-2020-SERIEA-I-A-03336) and CONICET (PIP 2019-11220200103016CO). D.J.E. is supported by the Hermon Slade Foundation (HSF21040). H.S. is supported by a María Zambrano fellowship funded by the Ministry of Universities and European Union-Next Generation plan. C.P. is supported by grant PID2020-116578RB-I00 (VULCOCLIM) funded by MCIN/AEI/10.13039/501100011033. B.Bo. and B.By. are supported by the Taylor Family-Asia Foundation Endowed Chair in Ecology and Conservation Biology. F.J. is supported by German Federal Ministry of Education and Research (BMBF) in the framework of the SPACES projects OPTIMASS (FKZ: 01LL1302A) and ORYCS (FKZ: 01LL1804A). A.J. is supported by Bavarian Research Alliance, grant BayIntAn-UBT-2017-61. A.L. and L.K. are supported by German Research Foundation (DFG) through the collaborative research center “Future Rural Africa” (funding codes TRR 228/1 and TRR 228/2). L.K. acknowledges travel funds from the Hans Merensky Foundation. M.K. acknowledges Fundação para a Ciência e Tecnologia (grant no. SFRH/BD/130274/ 2017, project UIDB/00329/2020 (DOI 10.54499/UIDB/00329/2020) and project Renewal PTDC/ASP-SIL/7743/2020 (DOI 10.54499/PTDC/ASP-SIL/7743/2020), and the Global Change and Sustainability Institute. J.V.S.M. is supported by Fulbright Program. L.v.d.B. and M.Y.B. were funded by German Research Foundation (DFG) Priority Program SPP-1803 “EarthShape: Earth Surface Shaping by Biota” (TI 338/14-1 and BA 3843/6-1). A.R. acknowledges support from the FCT (SFRH/BDP/108913/2015), as well as from the MCTES, FSE, UE, and the CFE (UIDB/04004/2021) research unit financed by FCT/MCTES through national funds (PIDDAC). C.B. acknowledges the funding of (i) Fundação para a Ciência e Tecnologia through the project UIDB/00329/2020 (DOI 10.54499/UIDB/00329/2020), (ii) Plano de Recuperação e Resiliência: AdaptForGrazing PRR-C05-i03-I-000035, and (iii) Global Change and Sustainability Institute (CHANGE). L.Y. is supported by grants from Agencia I+D+i (PICT-2019-02324) and CONICET (PIP 2022-11220210100681CO). H.L.T. was supported by NSF 1620476. C. Bu acknowledges the funding of National Natural Science Foundation of China (grant no. 41971131). M.Bo. acknowledges funding provided by the School of Forestry, Northern Arizona University. M.F. acknowledges a grant provided by Ferdowsi University of Mashhad, Iran. L.W. acknowledges support from the US National Science Foundation (EAR 1554894).

Financeurs

Références bibliographiques

  • 10.1126/science.abq4062
  • 10.1038/s41558-022-01499-y
  • 10.1046/j.1365-2486.2003.00594.x
  • 10.1038/s41467-018-04616-8
  • 10.1111/j.1461-0248.2011.01630.x
  • 10.1111/gcb.13409
  • 10.1111/jvs.13177
  • 10.1126/science.247.4946.1043
  • 10.1111/geb.12215
  • 10.1007/s10021-013-9683-y
  • 10.1038/nclimate2837
  • 10.1038/nclimate3275
  • 10.1038/nature04070
  • 10.1146/annurev.ecolsys.28.1.517
  • 10.1111/j.1461-0248.2004.00596.x
  • 10.1023/A:1026590806682
  • 10.1111/nph.18648
  • 10.1007/s00442-012-2538-y
  • 10.1890/11-1193.1
  • 10.1002/ecy.2824
  • 10.1111/nph.19598
  • 10.1002/ecy.2734
  • 10.1098/rstb.2015.0437
  • S. R. Archer E. M. Andersen K. I. Predick S. Schwinning R. J. Steidl S. R. Woods “Woody plant encroachment: Causes and consequences” in Rangeland Systems: Processes Management and Challenges D. D. Briske Ed. (Springer International Publishing 2017) pp. 25–84; https://doi.org/10.1007/978-3-319-46709-2_2.
  • 10.1007/s00442-017-3807-6
  • 10.1073/pnas.1013100108
  • 10.1126/science.1210465
  • 10.1038/nclimate1904
  • 10.1126/science.1247355
  • 10.1088/1748-9326/aa9ead
  • 10.1007/s00442-014-2958-y
  • 10.1038/s41559-017-0081
  • 10.1111/j.1469-8137.2004.01252.x
  • 10.1111/j.1466-8238.2007.00360.x
  • 10.1098/rstb.2015.0309
  • 10.1111/1365-2745.13685
  • 10.1007/s00442-007-0689-z
  • 10.1111/j.1365-2486.2006.01288.x
  • 10.1016/j.foreco.2021.119255
  • 10.1111/1365-2745.12367
  • 10.1071/WF14092
  • 10.1016/j.rama.2023.05.001
  • 10.1038/s41598-017-17348-4
  • 10.1038/nature06111
  • 10.1890/140163
  • 10.1016/j.jaridenv.2020.104197
  • 10.1086/284839
  • 10.1111/1365-2664.13471
  • 10.1086/283426
  • 10.1111/ele.12523
  • 10.1002/ecy.3793
  • 10.1016/j.jhydrol.2011.11.056
  • 10.1111/1365-2745.12273
  • 10.1111/1365-2745.12735
  • 10.5194/bg-21-131-2024
  • R. H. Peters A Critique for Ecology (Cambridge Univ. Press 1991).
  • 10.1073/pnas.1921724117
  • 10.2307/2937150
  • 10.1073/pnas.1503283112
  • 10.1111/avsc.12250
  • 10.1073/pnas.1607493113
  • 10.1016/j.vas.2020.100154
  • 10.2307/3801981
  • 10.1111/1365-2664.13704
  • 10.1146/annurev.es.04.110173.000325
  • 10.2307/1943158
  • 10.1111/1365-2745.13403
  • 10.1111/1365-2664.12805
  • 10.1016/S0169-5347(01)02283-2
  • 10.1111/nph.17395
  • 10.1111/1365-2435.12601
  • 10.5194/we-22-75-2022
  • 10.1016/j.biocon.2008.03.016
  • 10.1186/s13717-017-0083-7
  • 10.1111/1365-2435.12196
  • 10.3389/fenvs.2020.00004
  • 10.1016/j.rse.2018.06.044
  • 10.1002/joc.5086
  • 10.1016/j.rse.2017.06.031
  • 10.1016/j.tree.2008.10.008
  • K. P. Burnham D. R. Anderson Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach (Springer ed. 2 2002).
  • 10.1890/02-3114
  • 10.1111/j.2041-210X.2009.00001.x
  • J. Pinheiro D. Bates R Core Team nlme: Linear and Nonlinear Mixed Effects Models R package version 3.1-162 (2023); https://cran.r-project.org/package=nlme.
  • K. Bartoń MuMIn: Multi-Model Inference (2023); https://cran.r-project.org/package=MuMIn.
  • 10.1111/j.2041-210X.2010.00012.x
  • 10.7717/peerj.11414
  • R. S. Bivand E. Pebesma V. Gómez-Rubio Applied Spatial Data Analysis with R (Springer 2013).
  • 10.1111/gean.12319
  • R Core Team R: A language and environment for statistical computing R Foundation for Statistical Computing (2023); www.r-project.org/.
  • 10.2307/2269602
  • O. E. Sala W. K. Lauenroth R. A. Golluscio “Plant functional types in temperate semi-arid regions” in Plant Functional Types: Their Relevance to Ecosystem Properties and Global Change T. M. Smith H. H. Shugart F. I. Woodward Eds. (Cambridge Univ. Press 1997) pp. 217–233.
  • 10.1007/s10980-015-0252-y
  • 10.1111/j.1365-2664.2004.00864.x