Alma Mendoza-Ponce

Prof. Alma Mendoza-Ponce

Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de México, Coyoacán 04510, Cd.Mx., Mexico
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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018 in Global Environmental Change
Verified
Journal Article
Closed access
AMAlma Mendoza-Ponce
Alma Mendoza-Ponce
RCRogelio Corona-Núñez
Rogelio Corona-Núñez
Florian KraxnerFlorian Kraxner
Florian Kraxner
SLSylvain Leduc
Sylvain Leduc
PPPiera Patrizio
Piera Patrizio

25 October 2010 in Forestry: An International Journal of Forest Research
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Journal Article
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AMAlma Mendoza-Ponce
Alma Mendoza-Ponce
LGLeopoldo Galicia
Leopoldo Galicia
Temperate forests play a significant role in the global carbon cycle. However, deforestation, land use changes and differences in successional and species composition cause a spatial heterogeneity in the potential carbon storage in the landscape. The aims of this study were (1) to quantify aboveground and belowground biomass and respective carbon storage and (2) to project the future carbon storage in temperate forests landscape in Cofre de Perote, Veracruz, Mexico. Aboveground and belowground biomass was estimated in seven forests with different species composition and conservation status and management, in three grasslands and in two shrublands at a range of altitudes. Total biomass in forests ranged from 91.07 to 383.78 Mg ha−1, in grassland from 9.83 to 24.93 Mg ha−1 and in successional (shrublands) from 6.33 to 7.69 Mg ha−1. This suggests that deforestation and changes of land use could reduce aboveground biomass by 90 per cent. Mature forests had the largest aboveground and belowground biomass and the lowest density (number of trees per hectare) but a lower potential for accumulation of C in the future; in contrast, young forests and reforested areas had higher growth and carbon storage potential. Our results suggest that avoiding deforestation and improving forest management could play a major role in global climate change mitigation.

20 August 2018 in AMBIO
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Journal Article
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AMAlma Mendoza-Ponce
Alma Mendoza-Ponce
RCRogelio O. Corona-Núñez
Rogelio O. Corona-Núñez
LGLeopoldo Galicia
Leopoldo Galicia
Florian KraxnerFlorian Kraxner
Florian Kraxner
This study identifies the hotspots of land use cover change (LUCC) under two socioeconomic and climate change scenarios [business as usual (BAU) and a pessimistic scenario] at the national level for Mexico for three-time periods. Modelling suggests that by 2050 grassland and tropical evergreen forest will be the most endangered ecosystems, having lost 20–33% (BAU) or 43–46% (pessimistic scenario) of their extent in comparison to 1993. Agricultural expansion would be the major driver of LUCC, increasing from 24.4% of the country in 1993 to 30% (BAU) or 34% (pessimistic) in 2050. The most influential variables were distance from roads and human settlements, slope, aridity, and evapotranspiration. The hotspots of LUCC were influenced by environmental constraints and socioeconomic activities more than by climate change. These findings could be used to build proposals to reduce deforestation, including multiple feedbacks among urbanization, industrialization and food consumption.

1 December 2018 in Joule
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Journal Article
Closed access
PPPiera Patrizio
Piera Patrizio
SLSylvain Leduc
Sylvain Leduc
Florian KraxnerFlorian Kraxner
Florian Kraxner
SFSabine Fuss
Sabine Fuss
GKGeorg Kindermann
Georg Kindermann
MOMichael Obersteiner
Michael Obersteiner

1 December 2020 in Anthropocene
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Journal Article
Closed access
AMAlma Mendoza-Ponce
Alma Mendoza-Ponce
RCRogelio O. Corona-Núñez
Rogelio O. Corona-Núñez
FKFlorian Kraxner
Florian Kraxner
FEFrancisco Estrada
Francisco Estrada

13 September 2022 in Global Change Biology
Verified
Journal Article
Open access
CUCarolina Ureta
Carolina Ureta
MRMercedes Ramírez‐Barrón
Mercedes Ramírez‐Barrón
ESEdgar Andrés Sánchez‐García
Edgar Andrés Sánchez‐García
ACAngela P. Cuervo-Robayo
Angela P. Cuervo-Robayo
MMMariana Munguía‐Carrara
Mariana Munguía‐Carrara
VSVíctor Sánchez-Cordero
Víctor Sánchez-Cordero
There is a need to revise the framework used to project species risks under climate change (CC) and land‐use/cover change (LUCC) scenarios. We built a CC risk index using the latest Intergovernmental Panel on Climate Change framework, where risk is a function of vulnerability (sensitivity and adaptive capacity), exposure, and hazard. We incorporated future LUCC scenarios as part of the exposure component. We combined a trait‐based approach based on biological characteristics of species with a correlative approach based on ecological niche modeling, assigning risk scores to species, taxonomic (orders), and functional (trophic, body size, and locomotion) groups of terrestrial mammals occurring in Mexico. We identified 15 species projected to lose their climatic suitability. Of the 11 taxonomic orders, Eulipotyphla, Didelphimorphia, Artiodactyla, and Lagomorpha had the highest risk scores. Of the 19 trophic groups, piscivores, insectivores under canopy, frugivores–granivores, herbivores browser, and myrmecophagous had the highest risk scores. Of the five body‐sized groups, large‐sized species (>15 kg) had highest risk scores. Of the seven locomotion groups, arboreal and semi‐aquatics had highest risk scores. CC and LUCC scenarios reduced suitable areas of species potential distributions by 37.5% (with CC), and 51% (with CC and LUCC) under a limited full‐dispersal assumption. Reductions in suitable areas of species potential distributions increased to 50.2% (with CC), and 52.4% (with CC and LUCC) under a non‐dispersal assumption. Species‐rich areas (>75% species) projected 36% (with CC) and 57% (with CC and LUCC) reductions in suitability for 2070. Shifts in climatic suitability projections of species‐rich areas increased in number of species in northeast and southeast Mexico and decreased in northwest and southern Mexico, suggesting important species turnover. High‐risk projections under future CC and LUCC scenarios for species, taxonomic, and functional group diversities, and species‐rich areas of terrestrial mammals highlight trends in different impacts on biodiversity and ecosystem function.