Abstract
Wild edible fruits are important genetic and economic plant resources. They represent a significant livelihood resource for the population and are valuable in coping with climate change and food poverty. This work aimed to model the potential distribution of ten species of wild edible fruits from the state of Veracruz. These species were modelled with present and future climate scenarios. To obtain the projections, we used the MaxLike R library and bioclimatic variables from the WorldClim database under climate change scenarios with two radiative forcing trajectories (RCP4.5 and 8.5), and forecasts from three general circulation models (CCSM4, GISS.E2-R and MPI-ESM-LR) for the horizons 2050 and 2070. Then, we explore the spatial coincidence of the potential distribution of the fruits with geographic areas of Veracruz with high levels of marginalization, aiming to support the design of adaptative strategies to climate change. Pithecellobium dulce is the only species that will likely increase its current potential distribution in the future. The rest of the studied species Celtis caudata, Cordia dodecandra, Crataegus mexicana, Hymenaea courbaril, Manilkara sapota, Prunus serotina and Psidium guajava are projected to reduce their distribution area by more than 40%. The species Pouteria sapota and Pimenta dioica, of great economic value, could reduce their geographic area up to 82% and 85%, respectively. Municipalities with low to very low marginalization have the possibility of picking between four and six species on average, with potential of establishing in their surroundings. The analysed species are multipurpose, contribute to food security and are an alternative in adapting to climate change because they are candidates to be included in conservation initiatives while confronting the problem of marginalization.
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References
Aguilar Rincón VH, Torres TC (2019) Caracterización morfológica del chicozapote (Manilkara zapota) del centro de Veracruz y Morelos, México: base para su mejoramiento. Prod Agropecuaria y Desarrollo Sostenible 7:13–28. https://doi.org/10.5377/payds.v7i0.8411
Allender C (2011) The second report on the state of the world’s plant genetic resources for food and agriculture. Rome: Food and Agriculture Organization of the United Nations (2010). Exp Agric 47:574–574
Anderson RP, Lew D, Peterson AT (2003) Evaluating predictive models of species distributions: criteria for selecting optimal models. Ecol Model 162:211–232. https://doi.org/10.1016/S0304-3800(02)00349-6
Araújo MB, Pearson RG, Thuiller W, Erhard M (2005) Validation of species–climate impact models under climate change. Glob Chang Biol 11(9):1504–1513. https://doi.org/10.1111/j.1365-2486.2005.01000.x
Arévalo-Marín E, Casas A, Landrum L, Shock MP, Alvarado-Sizzo H et al (2021) The taming of Psidium guajava: natural and cultural history of a Neotropical fruit. Front Plant Sci 12:714763. https://doi.org/10.3389/fpls.2021.714763
Asprilla-Perea J, Díaz-Puente JM (2019) Importance of wild foods to household food security in tropical forest areas. Food Sec 11:15–22. https://doi.org/10.1007/s12571-018-0846-8
Awad EEA, Mariod AA (2019) Economic of wild fruits and it is contribution to rural people. In: Mariod A (eds) Wild fruits: composition, nutritional value and products. Springer, Cham, pp 4—57. https://doi.org/10.1007/978-3-030-31885-7_5
Baiea MHM, El-Gioushy SM, ElBadawy HEM (2018) Efficacy of kaolin and screen duo spraying on fruit sunburn, yield and fruit quality of Keitt mango fruits. J Plant Product Mansoura Univ. 9(12):1013–1020. https://doi.org/10.21608/JPP.2018.36619
Balama C, Augustino S, Eriksen S, Makonda BS (2016) Forest adjacent households’ voices on their perceptions and adaptation strategies to climate change in Kilombero District Tanzania. SpringerPlus 5:792. https://doi.org/10.1186/s40064-016-2484-y
Barve N, Barve V, Jiménez-Valverde A, Lira-Noriega A, Maher SP et al (2011) The crucial role of the accessible area in ecological niche modeling and species distribution modeling. Ecol Model 222:1810–1819. https://doi.org/10.1016/j.ecolmodel.2011.02.011
Barve N (2008) Tool for partial‐ROC. Version 1.0. Biodiversity Institute, Lawrence
Benítez-Badillo G, Lascurain-Rangel M, Álvarez-Palacios JL, Gómez-Díaz JA, Avendaño-Reyes S et al (2018) Influence of land-use changes (1993 and 2013) in the distribution of wild edible fruits from Veracruz (Mexico). Trop Conser Sci 11:1–11. https://doi.org/10.1177/1940082918758662
Bivand R, Keitt T, Rowlingson B (2019) Rgdal: bindings for the ‘geospatial’ data abstraction library https://rdrr.io/cran/rgdal/
Borys WM, Leszczyñska-Borys H (2001) El potencial genético frutícola de la República Mexicana. Fundación Salvador Sánchez Colín CICTAMEX, S. C. Coatepec Harinas, Estado de México, México. 99 p. https://bibliotecadigital.ciren.cl/server/api/core/bitstreams/518230de-4255-41c5-9bc4-60476eb818c8/content
Cabrera-Santos D, Ordoñez-Salanueva CA, Sampayo-Maldonado S, Campos JE, Orozco-Segovia A, et al. (2022) Quantifying cardinal temperatures of chia (Salvia hispanica L.) using non-linear regression models. Plants 11(9):1142. https://doi.org/10.3390/plants11091142
Cámara-Romero JL, Jiménez-Osornio JJ, Estrada-Medina H, Hernández García F (2021) Distribución potencial de Cordia dodecandra A.DC. y su variación relacionada al cambio de uso del suelo en la Península de Yucatán, México. Tropical and Subtropical Agroecosystems 24, 14. https://doi.org/10.56369/tsaes.3571
Chakravarty S, Bhutia KD, Suresh CP, Shukla G, Pala NA (2016) A review on diversity, conservation and nutrition of wild edible fruits. J Appl Nat Sci 8(4):2346–2353. https://doi.org/10.31018/jans.v8i4.1135
Chávez Cury G, Abela Gisbert MDC, Bravo JA, Peñarrieta JM, Rendón Porcel WJ (2011) Estudio del fruto comestible de la especie vegetal Hymenaea courbaril L. Revista Boliviana de Química 28(2):73-78 https://www.redalyc.org/articulo.oa?id=426339676004
CIAT (2020) Agrobiodiversidad: una pieza fundamental para un futuro resiliente y más saludable. CIAT Comunicaciones. https://www.agronet.gov.co/Noticias/Paginas/Agrobiodiversidad-una-pieza-fundamental-para-un-futuro-resiliente-y-m%C3%A1s-saludable.aspx
CONABIO (Comisión Nacional para el Conocimiento y Uso de la Biodiversidad) (1997). ‘Provincias biogeográficas de México’. Escala 1:4 000 000. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, México, D. F.
CONAPO (Consejo Nacional de Población). 2020. Índice de marginación por localidad. CONAPO. https://www.gob.mx/conapo/articulos/indice-de-marginacion-por-entidad-federativa-y-municipio-2020-271404?idiom=es
Cordeiro Milagres VA, Mendonça Machado EL (2016) Potential distribution modeling of useful Brazilian trees with economic importance. J Agric Sci Technol B 6:400–410. https://doi.org/10.17265/2161-6264/2016.06.005
Corlett RT, Westcott DA (2013) Will plant movements keep up with climate change? Trends Ecol Evol 28(8):482–488. https://doi.org/10.1016/j.tree.2013.04.003
Dempewolf H, Eastwood RJ, Guarino L, Khoury CK, Müller JV et al (2014) Adapting agriculture to climate change: a global initiative to collect, conserve, and use crop wild relatives. Agroecol and Sustain Food Syst 38:369–377. https://doi.org/10.1080/21683565.2013.870629
Estrada F, Mendoza-Ponce A, Calderón-Bustamante O, Botzen W (2022) Impacts and economic costs of climate change on Mexican agriculture. Reg Environ Change 22:126. https://doi.org/10.1007/s10113-022-01986-0
Estrada-Contreras I, Equihua M, Laborde J, Martínez Meyer E, Sánchez-Velásquez LR (2016) Current and future distribution of the tropical tree Cedrela odorata L in Mexico under climate change scenarios using MaxLike. PLoS ONE 11(10):e0164178. https://doi.org/10.1371/journal.pone.0164178
FAO (2019) The state of the world’s biodiversity for food and agriculture. Bélanger J, Pilling D (eds). FAO Commission on Genetic Resources for Food and Agriculture Assessments. Rome. 572. https://doi.org/10.4060/CA3129EN
FAO, IFAD, UNICEF, WFP, WHO. 2020. The state of food security and nutrition in the world 2020. Transforming food systems for affordable healthy diets. FAO, Rome 2020.https://www.fao.org/3/ca9692en/ca9692en.pdf
Feeley KJ, Silman MR, Bush MB, Farfan W, Cabrera KG, et al. (2011) Upslope migration of Andean trees. J Biogeograph 38(4):783–791. https://doi.org/10.1111/j.1365-2699.2010.02444.x
Feeley KJ, Bravo-Avila C, Fadrique B, Perez TM, Zuleta D (2020) Climate-driven changes in the composition of New World plant communities. Nat Clim Chang 10:965–970. https://doi.org/10.1038/s41558-020-0873-2
Ferreira MC, Martins FB, Florêncio GWL, Pasin LAAP (2019) Cardinal temperatures and modeling of vegetative development in guava. Rev Bras Eng Agríc. ambient. 23(11):819–825. https://doi.org/10.1590/1807-1929/agriambi.v23n11p819-825
Ferrer MM, Montañez-Escalante PI, Ruenes-Morales MDR, Estrada-Medina H, Jiménez-Osornio J (2020) Growing out of the tropical forests: domestication syndrome of native Mesoamerican trees in Mayan homegardens. Genet Resour Crop Evol 67:587–604. https://doi.org/10.1007/s10722-019-00833-2
Fischer G, Melgarejo LM (2021) Ecophysiological aspects of guava (Psidium guajava L.). A review. Rev Colomb Cienc Hortic 15(2):e12355. https://doi.org/10.17584/rcch.2021v15i2.12355
Fujimori S, Hasegawa T, Krey V, Riahi K, Bertram C et al (2019) A multi-model assessment of food security implications of climate change mitigation. Nat Sustain 2(5):386–396. https://doi.org/10.1038/s41893-019-0286-2
Gaia JA, De Souza BI, De Lucena RFP, Souza RS, Gaia CLB (2020) Modeling and potential distribution of tree species relevant to the sociocultural and ecological dynamics of the Sete Cidades National Park Piauí Brazil. Soc Nat 32:832–846. https://doi.org/10.14393/SN-v32-2020-51103
García Brunton J, Pérez Tornero O, Cos Terrer JE, Ruiz García L, Sánchez López E (2018) Influencia del cambio climático en la mejora genética de plantas. © Comunidad Autónoma de la Región de Murcia Consejería de Agua, Agricultura, Ganadería y Pesca Dirección General de Agricultura, Ganadería, Pesca y Acuicultura Servicio de Formación y Transferencia Tecnológica. ISBN: 978-84-948233-8-1 D.L.: MU 855-2018
García Flores JC, Gutiérrez Cedillo JG, Balderas Plata MA, Araújo Santana MR (2016) Bénéfices socioculturels et environnementaux des vergers familiaux des hauts plateaux du Mexique. Bois Forets Des Tropiques 329:29–42. https://doi.org/10.19182/bft2016.329.a31310
García-Fernández A (2011) Cambio climático en plantas de alta montaña: una perspectiva genética. Ecosistemas 20(2):129–132
Gasparini K, dos Moreira R, Peres LEP, Zsögön A (2021) De novo domestication of wild species to create crops with increased resilience and nutritional value. Curr Opin Plant Biol 60:102006. https://doi.org/10.1016/j.pbi.2021.102006
Ghanbari S, Weiss G, Liu J, Eastin I, Fathizadeh O et al (2022) Potentials and opportunities of wild edible forest fruits for rural household’s economy in Arasbaran. Iran. Forests 13(3):453. https://doi.org/10.3390/f13030453
Girardin CAJ, Jenkins S, Seddon N, Allen M, Lewis SL et al (2021) Nature-based solutions can help cool the planet - if we act now. Nature 593:191–194. https://doi.org/10.1038/d41586-021-01241-2
Gómez Díaz JD, Monterroso Rivas AI, Tinoco Rueda JA, Toledo Medrano ML, Conde Álvarez C, Gay García C (2011) Assessing current and potential patterns of 16 forest species driven by climate change scenarios in México. Atmósfera 24(1), 31-52. LicenseCC BY-NC 3.0 http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0187-62362011000100004&lng=es&tlng=en.
Gómez-Pompa A (1977) Ecología de la Vegetación del Estado de Veracruz. Compañía Editorial Continental México. 91 p. ISBN 9682600103, 9789682600104 https://books.google.com.mx/books?id=2mJgAAAAMAAJ
Grosjean, P., Lecoutre, E., Faria, J. C., & Rufino, M. (2005). “SciViews-R: a GUI API and a suite of applications for R. Version 0.8-9”
Guisan A, Thuiller W (2005) Predicting species distribution: offering more than simple habitat models. Ecol Lett 8:993–1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x
Guo Y, Zhao Z, Zhu F, Li X (2022) Climate change may cause distribution area loss for tree species in southern China. For Ecol and Manag 511:120134. https://doi.org/10.1016/j.foreco.2022.120134
Guzmán FA, Segura-Ledesma SD, Almaguer-Vargas G (2020) El capulín (Prunus serotina Ehrh): árbol multipropósito con potencial forestal en México. Madera y bosques 26(1):e2611866. https://doi.org/10.21829/myb.2020.2611866
Hamadina EI, Hamadina MK, Solomon TB (2018) Food security in the face of climate change: potential roles of underutilised plant species around some rural homesteads in the Niger Delta. Nat Resour 9:55–72. https://doi.org/10.4236/nr.2018.93005
Hao W, Arora R, Yadav AK, Joshee N (2009) Freezing tolerance and cold acclimation in guava (Psidium guajava L). HortScience 44(5):1258–1266. https://doi.org/10.21273/HORTSCI.44.5.1258
Hideg E, Jansen MA, Strid A (2013) UV-B exposure, ROS, and stress: inseparable companions or loosely linked associates? Trends Plant Sci. 18:107–15. https://doi.org/10.1016/j.tplants.2012.09.003
Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol. 25:1965–1978. https://doi.org/10.1002/joc.1276
Hijmans RJ (2023) raster: geographic data analysis and modeling. R package https://cran.r-project.org/web/packages/terra/index.html
HLPE (2017) La nutrición y los sistemas alimentarios. Un informe del Grupo de alto nivel de expertos en seguridad alimentaria y nutrición del Comité de Seguridad Alimentaria Mundial. CSA, Roma. https://www.fao.org/3/I7846ES/i7846es.pdf
INEGI (2013) Continuo de Elevaciones Mexicano (CEM). Instituto Nacional de Estadística y Geografía. Aguascalientes, México. Descargado en: https://www.inegi.org.mx/app/geo2/elevacionesmex/
INEGI (2014) Carta de Uso del Suelo y Vegetación Serie VI escala 1:250 000. INEGI. México. http://geoportal.conabio.gob.mx/metadatos/doc/html/usv250s6gw.html
INEGI (2020) Censo de Población y Vivienda 2020. Instituto Nacional de Estadística y Geografía. Aguascalientes, México. https://www.inegi.org.mx/programas/ccpv/2020/default.html#Publicaciones
Islam MS, Wong AT (2017) Climate change and food in/security: a critical nexus. Environments 4(2):38. https://doi.org/10.3390/environments4020038
Islam R, Islam MM, Islam MN, Islam MN et al (2020) (2020) Climate change adaptation strategies: a prospect toward crop modelling and food security management. Model Earth Syst Environ. 6:769–777. https://doi.org/10.1007/s40808-019-00708-6
Iverson L, Prasad A, Matthews S (2008) Modeling potential climate change impacts on the trees of the northeastern United States. Mitig Adapt Strateg Glob Change 13:517–540. https://doi.org/10.1007/s11027-007-9129-y
Jarvis A, Lane A, Hijmans RJ (2008) The effect of climate change on crop wild relatives. Agric Ecosyst Environ 126:13–23. https://doi.org/10.1016/j.agee.2008.01.013
Kennedy G, Kanter R, Chotiboriboon S, Covic N, Delormier T, et al. (2021) Traditional and indigenous fruits and vegetables for food system transformation. Curr Devel Nutr 5(8):nzab092. https://doi.org/10.1093/cdn/nzab092
Lascurain M, Avendaño S, del Amo S, Niembro A (2010) Guía de frutos silvestres comestibles en Veracruz. Fondo Sectorial para la Investigación, el Desarrollo y la Innovación Tecnológica Forestal, Conafor-Conacyt, México. http://www1.inecol.edu.mx/inecol/documentos/frutos_silvestres_comestibles.pdf
Lobo JM, Jiménez-Valverde A, Real R (2007) AUC: a misleading measure of the performance of predictive distribution models. Glob Ecol Biogeogr 17:145–151. https://doi.org/10.1111/j.1466-8238.2007.00358.x
Locosselli GM, Krottenthaler S, Pitsch P et al (2019) Impact of temperature on the growth of a Neotropical tree species (Hymenaea courbaril, Fabaceae) at its southern distribution limit. Int J Biometeorol 63:1683–1692. https://doi.org/10.1007/s00484-019-01786-y
Lugo AE, Abelleira Martínez OJ, Medina E, Aymard G, Heartsill Scalley T (2020) Chapter two. Novelty in the tropical forests of the 21st century. Adv Ecol Res 62:53–116. https://doi.org/10.1016/bs.aecr.2020.01.008
Machuca P, Pulido-Salas MT, Trabanino F (2020) Past and present of allspice (Pimenta dioica) in Mexico and Guatemala. From traditional management to current large-scale markets. Revue d’ethnoécologie, (18). https://doi.org/10.4000/ethnoecologie.6261
Maciel-Mata CA, Manríquez-Morán N, Octavio-Aguilar P, Sánchez-Rojas G (2015) El área de distribución de las especies: Revisión del concepto. Acta Univ. 25:3–19. https://doi.org/10.15174/au.2015.690
MacKenzie WH, Mahony CR (2021) An ecological approach to climate change-informed tree species selection for reforestation. For Ecol Manag 481:118705. https://doi.org/10.1016/j.foreco.2020.118705
Mariod AA (2019). Prospects for utilization of wild fruits. In: Mariod, A. (eds) Wild fruits: composition, nutritional value and products. Springer, Cham. https://doi.org/10.1007/978-3-030-31885-7_4
Martínez Pérez D, Hernández García MA, Martínez González EG (2013) La pimienta gorda en México (Pimenta dioica L. Merril): avances y retos en la gestión de la innovación Colección Trópico Húmedo. Universidad Autónoma Chapingo, Estado de México
Martinez-Lüscher J, Torres N, Hilbert G, Richard T, Sánchez-Diaz M, et al. (2014) Ultraviolet-B radiation modifies the quantitative and qualitative profile of flavonoids and amino acids in grape berries. Phytochem. 102:106–114. https://doi.org/10.1016/j.phytochem.2014.03.014
Mbow C, Van Noordwijk M, Luedeling E, Neufeldt H, Minang PA et al (2014) Agroforestry solutions to address food security and climate change challenges in Africa. Curr Opin Environ Sustain 6:61–67. https://doi.org/10.1016/j.cosust.2013.10.014
McCarthy JJ (Ed.) (2001) Climate change 2001: impacts, adaptation, and vulnerability: contribution of Working Group II to the third assessment report of the Intergovernmental Panel on Climate Change (Vol. 2). Cambridge University Press.
McKenney DW, Pedlar JH, Lawrence KM, Campbell KL, Hutchinson MF (2007) Potential impacts of climate change on the distribution of North American trees. BioScience 57(11):939–948. https://doi.org/10.1641/B571106
Meinhold K, Darr D (2020) Using a multi-stakeholder approach to increase value for traditional agroforestry systems: the case of baobab (Adansonia digitata L.) in Kilifi kenya. Agrofor Syst 95(7):1343–1358. https://doi.org/10.1007/s10457-020-00562-x
Monroy R, Colín H (2004) El guamúchil Pithecellobium dulce (Roxb) Benth, un ejemplo de uso múltiple. Madera y Bosques 10(1):35–53. https://doi.org/10.21829/myb.2004.1011278
Moombe KB, Ham C, Clarke J, Franzel S, Ackerman P (2014) Consumer preferences for Uapaca kirkiana fruits in Zambia. Forests, Trees Livelihoods. 23(4):248–260. https://doi.org/10.1080/14728028.2014.929981
Morrone JJ (2019). Regionalización biogeográfica y evolución biótica de México: encrucijada de la biodiversidad del Nuevo Mundo. Revista mexicana de biodiversidad, 90. https://doi.org/10.22201/ib.20078706e.2019.90.2980
Murugesan S, Lakshmanan DK, Arumugam V, Alexander RA (2019) Nutritional and therapeutic benefits of medicinal plant Pithecellobium dulce (Fabaceae): a review. J Appl Pharm Sci 9(07):130–139. https://doi.org/10.7324/JAPS.2019.90718
Niembro Rocas A, Vázquez Torres M, Sánchez Sánchez O (2010) Árboles de Veracruz. 100 especies para la reforestación estratégica. Secretaría de Educación-Gobierno del Estado de Veracruz. https://www.sev.gob.mx/servicios/publicaciones/colec_veracruzsigloXXI/ArbolesVeracruz100especies.pdf
Núñez-Colín CA, Escobedo-López D, Hernández-Martínez MA, Ortega-Rodríguez C (2012) Modelos de las zonas adecuadas de adaptación del tejocote (Crataegus mexicana DC.) por efecto del cambio climático. Agron Mesoam 23(2):241–246
Núñez-Colín CA, Alia-Tejacal I, Villarreal-Fuentes JM, Escobedo-López D, Rodríguez-Núñez JR et al (2017) Distribution, eco-climatic characterization and potential cultivation zones of mamey sapote in Mexico. Rev Chapingo Ser Hortic 23(2):75–88. https://doi.org/10.5154/r.rchsh.2016.05.014
Núñez-Colín CA, Nieto-Ángel R, Barrientos-Priego AF, Segura S, Sahagún-Castellanos J, González-Andrés F (2008) Distribución y caracterización eco-climática del género Crataegus L. (Rosaceae, Subfam. Maloideae) en México. Revista Chapingo. Serie horticultura, 14(2):177-184.
Oliveira W, Cruz-Neto O, Silva JLS, Rito KF, Leal IR et al (2022) Chronic anthropogenic disturbances and aridity negatively affect specialized reproductive traits and strategies of edible fruit plant assemblages in a Caatinga dry forest. For Ecol Manag 514:120214. https://doi.org/10.1016/j.foreco.2022.120214
Pachauri RK, Allen MR, Barros VR, Broome J, Cramer W, Christ R, van Ypserle JP (2014) Climate change 2014: synthesis report. Contribution of Working Groups I, II and III to the fifth assessment report of the Intergovernmental Panel on Climate Change p 151. Ipcc.
Palomo I, Locatelli B, Otero L, Colloff M, Crouzat E et al (2021) Assessing nature-based solutions for transformative change. One Earth 4(5):730–741. https://doi.org/10.1016/j.oneear.2021.04.013
Pearson RG, Raxworthy C, Nakamura M, Peterson AT (2007) Predicting species’ distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. J Biogeogr 34:102–117. https://doi.org/10.1111/j.1365-2699.2006.01594.x
Pebesma E, Bivand RS (2005) S classes and methods for spatial data: the sp package. R News 5(2):9–13
Pessotto MV, Roberts TL, Bertucci M, Santos C, Ross J, et al. (2023) Determining cardinal temperatures for eight cover crop species. Agrosyst Geosci Environ 6(3):e20393. https://doi.org/10.1002/agg2.20393
Peterson AT, Papes M, Soberón J (2008) Rethinking receiver operating characteristic analysis applications in ecological niche modeling. Ecol Model 213:63–72. https://doi.org/10.1016/j.ecolmodel.2007.11.008
Pliscoff P, Fuentes-Castillo T (2011) Modelación de la distribución de especies y ecosistemas en el tiempo y en el espacio: una revisión de las nuevas herramientas y enfoques disponibles. Revista de Geografía Norte Grande 48:61–79. https://doi.org/10.4067/S0718-34022011000100005
Portner HO, Roberts DC, Adams H, Adler C, Aldunce P, Ali E, Begum RA, Betts R, Kerr RB, Biesbroek R, et al. (2022) Climate change 2022. Impacts, adaptation and vulnerability. In WGII Sixth Assessment Report (IPCC)
Quintero Ramirez JM, Omaña Silvestre JM, Sangerman-Jarquín DM (2019) Modelo de optimización para la distribución de guayaba de México hacia Estados Unidos de América. Rev Mex Cienc Agric 10(8):1709–1720. https://doi.org/10.29312/remexca.v10i8.2151
R Core Team (2016). R: a language and environment for statistical computing. R Foundation for Statistical Computing. Vienna: Available online at: http://www.R-project.org
Royle JA, Chandler RB, Yackulic C, Nichols JD (2012) Likelihood analysis of species occurrence probability from presence-only data for modelling species distributions. Methods Ecol Evol 3:545–554. https://doi.org/10.1111/j.2041-210X.2011.00182.x
Rzedowski J (2006) Vegetación de México. 1ra. Edición digital, Comisión Nacional para el Conocimiento y Uso de la Biodiversidad. México. https://www.biodiversidad.gob.mx/publicaciones/librosDig/pdf/VegetacionMxPort.pdf
Sáenz-Romero C, Lindig-Cisneros RA, Joyce DG, Beaulieu J, St Clair JB, et al. (2016) Migración asistida de las poblaciones forestales para la adaptación de árboles ante el cambio climático. Revista Chapingo Serie Ciencias Forestales y Del Ambiente 22(3):303–323. https://doi.org/10.5154/r.rchscfa.2014.10.052
Salama SM (2019) The impact of wild fruits to a better life worldwide. In: Mariod A (ed) Wild fruits: composition, nutritional value and products. Springer, Cham. Pp 91-105. https://doi.org/10.1007/978-3-030-31885-7_8
Sangerman-Jarquín D, Larqué Saavedra B, Navarro Bravo A, Schwentesius de Rindermann R, Damián Huato M et al (2018) Producción de guayaba [Psidium guajava (L.) Burm.] en el Estado de México, México. Rev Mex de Cienc Agríc 4(7):1081-93. DOI: https://doi.org/10.29312/remexca.v4i7.1147
Santos GN dos, Silva AC da, Higuchi P (2020). Impact of climate change on the geographical distribution of a cloud forest indicator tree species. Rev Árvore, 44. https://doi.org/10.1590/1806-908820200000032
Sardeshpande M, Shackleton C (2019) Wild edible fruits: a systematic review of an under-researched multifunctional NTFP (non-timber forest product). Forests 10(6):467. https://doi.org/10.3390/f10060467
Segura S, Guzmán-Díaz F, López-Upton J, Mathuriau C, LópezMedina J (2018) Distribution of Prunus serotina Ehrh. in North America and its invasion in Europe. J Geosci Environment Prot 6(9):111–124. https://doi.org/10.4236/gep.2018.69009
Segura Ledesma S, Zavala Robles D, Equihua Cervantes C, Andrés Agustín J, Yepez Torres E (2009) Los recursos genéticos de frutales en Michoacán. Revista Chapingo Serie Horticultura 15(3):297-305. https://www.redalyc.org/articulo.oa?id=60912186011
Shackleton, S. (2014). Impacts of climate change on food availability: non-timber forest products. In: Freedman, B. (eds) Global environmental change. Handbook of global environmental pollution, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5784-4_117
Sheppard Ch (2013) Potential spread of recently naturalised plants in New Zealand under climate change. Clim Chang 17:919–931. https://doi.org/10.1007/s10584-012-0605-3
Shoo LP, Hoffmann AA, Garnett S, Pressey RL, Williams YM et al (2013) Making decisions to conserve species under climate change. Clim Chang 119:239–246. https://doi.org/10.1007/s10584-013-0699
SIAP (2022) SAGARPA, México. http://www.gob.mx/siap/
Simei M, Campos B, Jiménez-Osornio J, Barrientos MR (2016). Fenología y producción de frutos de plantaciones de siricote (Cordia dodecandra A DC.) bajo tres tipos de manejo en Xmatkuil, Yucatán, México. Polibotánica 41:115-131. https://doi.org/10.18387/polibotanica.41.8
Sørensen R, Zinko U, Seibert J (2006) On the calculation of the topographic wetness index: evaluation of different methods based on field observations. Hydrol Earth Syst Sci 10:101–112. https://doi.org/10.5194/hess-10-101-2006
Sthapit B, Lamers H, Ramanatha Rao AB (2016) Tropical fruit tree biodiversity: good practices for in situ and on-farm conservation. First Edition. Publisher: Earthscan from Routledge, Taylor & Francis Group. ISBN: 978-1-138-78128-3 https://core.ac.uk/reader/132684760
Taghvaei M, Sadeghi H, Khaef N (2015) Cardinal temperatures for germination of the medicinal and desert plant, Calotropis procera. Planta daninha 33 (4) https://doi.org/10.1590/S0100-83582015000400005
Telwala Y, Brook BW, Manish K, Pandit MK (2013) Climate-induced elevational range shifts and increase in plant species richness in a Himalayan biodiversity epicentre. PLoS ONE 8(2):e57103. https://doi.org/10.1371/journal.pone.0057103
Thang TH, Thu AM, Chen J (2020) Tree species of tropical and temperate lineages in a tropical Asian montane forest show different range dynamics in response to climate change. Global Ecol Conserv 22:e00973. https://doi.org/10.1016/j.gecco.2020.e00973
Tomar JMS, Ahmed A, Bhat JA, Kaushal R, Shukla G, kumar R (2021). Potential and opportunities of agroforestry practices in combating land degradation. Chapter 5. In: Shukla G, Chakravarty S, Panwar P, Bhat JA, Agroforestry-small landholder’s tool for climate change resiliency and mitigation. IntechOpen. https://doi.org/10.5772/intechopen.97843
Uphoff N (2013) An agroecological route to agricultural development. Chapter 21. In: Serageldin I, Yahia M, El-Faham M, El-Wakil M (eds) New Life Sciences: linking science to society. BioVisionAlexandria 2012, Bibliotheca Alexandrina, Egypt. pp 255-272. ISBN 978-977-452-226-8
Uprety Y, Poudel RC, Shrestha KK, Rajbhandary S, Tiwari NN, et al. (2012) Diversity of use and local knowledge of wild edible plant resources in Nepal. J Ethnobiol Ethnomed 8(1):16. https://doi.org/10.1186/1746-4269-8-16
Velázquez Paulín K, Alvarado Sánchez B, Reyes Munguía A (2015) Historia del mamey Pouteria sapota. Rev Iberoam Cienc 3(2):55–63
Vermeulen SJ, Campbell BM, Ingram JSI (2012) Climate change and food systems. Ann Rev Env Res 37:195–222. https://doi.org/10.1146/annurev-environ-020411-130608
Villegas-Monter, A. (2018). ZAPOTE MAMEY [Pouteria sapota (Jacq.) Moore & Stearn], DIVERSIDAD Y USOS. Agro Productividad, 9(4). Recuperado a partir de https://www.revista-agroproductividad.org/index.php/agroproductividad/article/view/746
Vinceti B, Termote C, Ickowitz A, Powell B, Kehlenbeck K et al (2013) The contribution of forests to sustainable diets. Sustainability 5(11):4797–4824. https://doi.org/10.3390/su5114797
Wezel A, Herren BG, Kerr RB, Barrios E, Gonçalves ALR (2020) Agroecological principles and elements and their implications for transitioning to sustainable food systems A review. Agron. Sustain. Dev. 40:1–13. https://doi.org/10.1007/s13593-020-00646-z
Wiebe K, Robinson S, Cattaneo A (2019) Climate change, agriculture and food security: impacts and the potential for adaptation and mitigation. Chapter 4. In: Clayton Campanhola, Shivaji Pandey (eds) Sustainable Food and Agriculture Academic Press, pp 55-74 https://doi.org/10.1016/B978-0-12-812134-4.00004-2
Zizumbo-Villareal D, GarciaMarin PC, May F, Mijangos Cortés JO (2010) Recursos fito-genéticos para la alimentación y la agricultura. In: Durán-García R, Méndez-González M (eds) Biodiversidad y Desarrollo Humano en Yucatán. Publisher CICY, PPD-FMAM, CONABIO, SEDUMA, pp 334–339
Zu K, Wang Z, Zhu X, Lenoir J, Shrestha N et al (2021) Upward shift and elevational range contractions of subtropical mountain plants in response to climate change. Sci Total Environ. 783:146896. https://doi.org/10.1016/j.scitotenv.2021.146896
Zuñiga I (2022) Mexico’s environmental crisis, a step backwards? Voices of Mexico 112:32-35 http://www.revistascisan.unam.mx/Voices/pdfs/11209.pdf
Acknowledgements
We are very grateful to Dr. Sergio Avendaño for his suggestions that were very pertinent in the selection of the species studied. We thank the Editors, particularly Dr. George Zittis, for his review that improved the document.
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This work was supported in its final stage by FORDECYT Project No. 296842 (CONACYT).
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Benítez, G., Estrada-Contreras, I., Lascurain-Rangel, M. et al. Potential distribution of wild edible fruit trees under climate change scenarios: promoting food security in a Neotropical region. Reg Environ Change 24, 75 (2024). https://doi.org/10.1007/s10113-024-02231-6
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DOI: https://doi.org/10.1007/s10113-024-02231-6