SciELO - Scientific Electronic Library Online

 
vol.10 número2Efecto de la asociación teca-crotalaria en la fertilidad de un Gleysol Éutrico y la comunidad de arvensesEfecto de DHA y extractos de plantas sobre la productividad de cerdas infectadas con PRRS índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay artículos similaresSimilares en SciELO

Compartir


Ecosistemas y recursos agropecuarios

versión On-line ISSN 2007-901Xversión impresa ISSN 2007-9028

Ecosistemas y recur. agropecuarios vol.10 no.2 Villahermosa may./ago. 2023  Epub 22-Sep-2023

https://doi.org/10.19136/era.a10n2.3209 

Scientific articles

Foliar nutrient contents of tropical tree species under different management and climate conditions

Contenido foliar de nutrientes de especies arbóreas tropicales bajo diferentes condiciones climáticas y de manejo

Héctor Estrada-Medina1  * 
http://orcid.org/0000-0002-1081-5655

Miriam M. Ferrer1 
http://orcid.org/0000-0003-2990-9798

Patricia Montañez-Escalante1 
http://orcid.org/0000-0002-7038-6231

Grelty Pech Puch1 
http://orcid.org/0000-0003-4666-7612

Oscar O. Álvarez-Rivera1 
http://orcid.org/0000-0002-0622-8538

1Universidad Autónoma de Yucatán, Campus de Ciencias Biológicas y Agropecuarias, departamento de Manejo y Conservación de Recursos Naturales Tropicales. Carretera Mérida-Xmatkuil, Km. 15.5 S/N. CP. 97315. Mérida, Yucatán, México.


Abstract:

Plant species, regional conditions and management practices have effects on plant nutrient uptake; however, its study is complex as their effects occur all at the same time. This study compares the foliar nutrient contents of Brosimum alicastrum (evergreen), Cordia dodecandra (deciduous), and Spondias purpurea (deciduous) tree individuals growing in homegardens and forest at two climate regions. 20 individuals per species and their associated soils were sampled. Soil pH, electrical conductivity, sand, silt, and clay percentages, as well as edaphic and foliar C, N, P, K, Na, and Ca contents were analyzed. Nutrient levels in soils associated with each species were significantly different (λ Wilks = 0.61, F12,372 = 8.70; p < 0.0001). Forest soils had higher contents of C and N; homegarden soils had higher pH, and more silt and phosphorus. The foliar nutrient contents of the three species were significantly different (λ Wilks = 0.11, F12,458 = 77.71; P < 0.0001). B. alicastrum had greater contents of Na and K; C. dodecandra had more Ca, and S. purpurea had higher levels of N and P. Foliar P content was three times higher in homegarden trees than in forest individuals. Our results suggest that management primarily determines foliar P content; C and N levels depend on species and region; and both, the species and management determine K, Na, and Ca contents.

Key words: Brosimum alicastrum Sw.; Cordia dodecandra DC.; Spondias purpurea L.; Evergreen and deciduous trees; Homegardens; Tropical forests

Resumen:

Las especies vegetales, condiciones regionales y prácticas de manejo tienen efectos sobre la absorción de nutrientes, pero su estudio es complejo ya que todos estos efectos ocurren al mismo tiempo. El objetivo del presente estudio fue comparar el contenido foliar de nutrientes en árboles de Brosimum alicastrum (perenne), Cordia dodecandra (caducifolio) y Spondias purpurea (caducifolio) creciendo en huertos familiares y selvas en dos regiones. Se muestrearon 20 individuos por especie y sus suelos asociados. Se analizó el pH del suelo, la conductividad eléctrica, los porcentajes de arena, limo y arcilla, así como los contenidos edáficos y foliares de C, N, P, K, Na y Ca. Los niveles de nutrientes en los suelos asociados a cada especie fueron significativamente diferentes (λ Wilks = 0.61, F12,372 = 8.70; p <0.0001). Los suelos de selva tuvieron mayores contenidos de C y N, mientras que los suelos de los huertos familiares tuvieron un pH más alto y más limo y fósforo. El contenido de nutrientes foliares de las tres especies fue significativamente diferente (λ Wilks = 0.11, F12,458 = 77.71; P < 0,0001). B. alicastrum tuvo mayores contenidos de Na y K; C. dodecandra tuvo más Ca, y S. purpurea tuvo más N y P. El P fue tres veces mayor en los árboles de huertos que en los individuos de selva. El manejo determina el contenido de P; el C y N dependen de la especie y la región; y la especie y el manejo determinan los contenidos de K, Na y Ca foliares.

Palabras clave: Brosimum alicastrum Sw.; Cordia dodecandra DC.; Spondias purpurea L.; Árboles perennes y caducifolios; Huertos familiares; Bosques tropicales

Introduction

There is still an incomplete understanding of how plant species control their own nutrition, as well as how management practices modify plant nutrition across the tropics (Wieder et al. 2015, Jakovac et al. 2021). Foliar nutrient contents are a widely used tool for understanding plant nutrition; however, comparative studies among are complex because of the heterogeneity of plant communities, soils, climate (Chakkour et al. 2023) and management practices. Foliar nutrient contents in plants vary according to nutrient availability in soil, plant functional traits (growth, habits, phenology, etcetera), and climate conditions (Bai et al. 2019).

In homegardens, the owners select the species and implement management practices to achieve plant establishment and/or increase their productivity; on the other hand, in the forest sites the management is barely null, being limited mainly to extractive practices (Toledo et al. 2008, DiGiano et al. 2013). Some management practices affect foliar nutrient content, the number of leaves, and decay rates (García-Palacios et al. 2013). By promoting conditions for crop growth, carbon and nutrients cycles are affected to a greater extent (Schmidt et al. 2019). Harvesting results in a negative nutrients balance if extractions are not compensated (Vitousek et al. 2009, Briat et al. 2020). Management practices, such as the elimination of litter (by removal or burning) have also a negative effect on the physical, chemical, and biological properties of soil (Miao et al. 2019, Mayer et al. 2020, Ahlawat et al. 2023); thus, altering nutrient availability and plant uptake. Regional environmental gradients, driven by multiple factors, including precipitation which contributes to soil moisture also affects nutrient dynamics and plant nutrient uptake (Tian et al. 2018). Soil moisture is an important factor for nutrients dynamics in soils because it promotes the decomposition of organic matter and nutrient mineralization (Sierra et al. 2015, Kuchenbuch et al. 1986).

Tree phenological adaptations have also been showed to be related to plant nutrient uptake. Deciduous species generally have higher growth rates, larger specific foliar area, and greater photosynthesis rates, suggesting increased nutritional requirements and nutrient accumulation compared to evergreen species (Huang et al. 2018). However, other authors have proposed that evergreen species deliver more nutrients to soil because the foliage is continuously falling (Aerts and Chapin 1999, Givnish 2002). The aim of this study was to investigate the foliar nutrient contents of three tropical tree species growing under two management systems (forests and homegardens) at two climate regions of the state of Yucatan (Northeast and Southwest). One of the species is evergreen, Brosimum alicastrum, while the other two are deciduous, Cordia dodecandra and Spondias purpurea. The assessment included: i) physicochemical conditions of the soil in which the species grow, ii) variations in foliar contents (C, N, P, K, Na, and Ca) for the three species, and iii) analyses of the soil properties and the foliar nutrient contents per region, management system and species.

Materials and methods

Study sites

The study was conducted at two municipalities of the state of Yucatan: Tizimin (Northeast region) with a predominant Aw1 (X’) climate (tropical sub-humid with summer rains and medium humidity) and an annual precipitation of 1 500 mm (INEGI 2010a) and Tzucacab (Southwest region), with predominant Aw0 climate (sub-humid with summer rains and low humidity), with an annual precipitation of 1 200 mm (INEGI 2010b) (Figure 1). Both regions are undulated karstic plains associated to limestone from the Neogene (Tizimin) and Paleogene (Tzucacab) (INEGI 2010a, 2010b). Leptosols (41.29%) dominate in Tizimin, associated to Luvisols (27.47%) and Phaeozems (20.82%) (INEGI 2010a). Luvisols (64.11%) are dominant in the Tzucacab, associated to Vertisols (20.18%) and Phaeozems (12.69%) (INEGI 2010b). The type of natural vegetation in both regions is medium height semi-deciduous secondary forest.

Figure 1 Management systems distribution at study sites. Forests (dots) and Homegardens (triangles) in two climate regions of Yucatan: Northeast (yellow border) in the municipality of Tizimin and Southwest (green border) in the municipality of Tzucacab. Sites where Brosimum alicastrum (green dots), Cordia dodecandra (yellow dots) and Spondias pupurea (red dots) grow in forests had different locations. Due to the availability of the tree individuals in homegardens, in Tzucacab all homegardens were in a single village whereas in Tizimin homegardens were more dispersed. 

Sampling design

In both study regions, we selected 20 adult individuals of each species with a diameter at breast height greater than 15 cm from the forest and 20 individuals from homegardens, resulting in a total of 120 individuals per region (N = 240). For the forest, we selected a wild population of each species. However, due to variability in the total number of individuals of each species in the homegardens, we selected a different number of individuals from each species in each homegarden. Specifically, in the Northeast region, we selected 9 homegardens with B. alicastrum individuals, 5 with C. dodecandra individuals, and 9 with S. purpurea individuals. In the Southwest region, we selected 7 homegardens with B. alicastrum individuals, 5 with C. dodecandra individuals, and 9 with S. purpurea individuals. We randomly selected five soil sub-samples from below each treetop at a depth of 0-30 cm or until the R horizon was reached. These sub-samples were combined into one sub-sample for each tree of each species, resulting in a total of 20 sub-samples per species. To determine foliar nutrient content, we randomly collected 20 healthy mature leaves from the middle part of the canopy of each of the 240 tree individuals. We ensured that the leaves were free of foliar damage caused by pests or diseases.

Sample processing and laboratory analyses

The laboratory analyzes were carried out in the Soils, Plants and Water Analysis Laboratory of the Autonomous University of Yucatan. Soil samples were air-dried, and sieved at 2mm, leaves samples were oven dry at 105 °C to constant weight and ground in a mechanical mill. The analyzes that were carried out were: particle size analyses (Bouyoucos’s densimeter method) (Gee and Bauder 1986), pH (water ratio 1:2, potentiometric) (Thomas 1996), electric conductivity (ratio 1:5, potentiometric) (Rhoades 1996), total organic C content (Walkey-Black method) (Nelson and Sommers 1987), Total N content (Kjeldahl’s method) (Bremner 1996), and K, Na, and Ca contents (flamometry) (Helmke y Sparks 1996, Suarez 1996). Leaves were dried (at 60 °C until constant weight) to analyze total organic C (Walkey-Black method) (Nelson and Sommers 1987), total N (Kjeldahl’s method) (Bremner 1996), and K, Na, and Ca contents (flamometry) (Helmke y Sparks 1996, Suarez 1996).

Statistical analysis

For the heuristic exploration of possible data pooling, a principal component analysis (PCA) was conducted. To homogenize the difference in the magnitude of the measurements of the different variables (Manly and Navarro 2016), data transformation through standardization [(Xi - X-)/σ] was previously performed, where Xi is the observed data,X- is the data average for the variable, and σ is the standard deviation for each variable. The heuristic analysis used the graphs of the PCA (Supplementary file 1) to detect possible pooling for the analyses of physicochemical properties and nutrients contents of soil and foliar nutrients contents of each species. Additionally, two MANOVA tests (Supplementary file 2) were conducted to test the between effects for the three different species and the within effect of the variables among the three species for the 1) physicochemical properties and nutrient contents of the soil and 2) nutrient contents of the leaves. The model included as well the between effects of region [species], type system [region, species], and the within effects of the variables for those effects.

Subsequently, soil physicochemical properties and nutrient contents and foliar nutrients content were analyzed for the combination between region (Northeast and Southwest) and type of system (forest and homegarden) for each of the species. A discriminant analysis was performed (Supplementary file 3) (Manly and Navarro 2016) to see whether the variations among the three species were associated with variation in soil physicochemical properties, soil nutrients content or with a pattern in foliar nutrients contents. Discriminant analyses were performed for each of the species to assess the variations in soil physicochemical properties, soil and foliar nutrient contents between management systems at the two regions for each species. In addition, a hierarchical analysis of variance was carried out separately for each species to study the variance of soil physicochemical properties, soil nutrient contents, and foliar nutrient contents (Manly and Navarro 2016). Region and type of system nested within the region were considered fixed effects factors, while soil physicochemical properties and soil and leaves nutrient contents were response variables. Analyses were conducted with the original variables after verifying that the assumptions of homoscedasticity and normal distribution of residuals were met. Tukey’s test was conducted to assess the differences between the average of each variable and the combinations of region and system for unbalanced samples. All the analyses were performed with JMP v. 12.01 (SAS Institute, NC, USA).

Results

Variation among species

The MANOVA results highlight differences within the physicochemical properties and nutrient contents of the soil among the three species (λ Wilks = 0.411, F20,346 = 9.68; P < 0.0001) and between effects for the species (F2,182 = 19.18; P < 0.0001). Similarly, significant differences within the nutrient contents of the leaves among the three species (λ Wilks = 0.061, F10,442 = 134.63; P < 0.0001) and between effects for the species (F2,182 = 19.18; P < 0.0001) were found.

The distribution of the studied species is associated with the percentage of silt and clays, pH, and electrical conductivity (λ Wilks = 0.75, F8,468 = 9.23; P < 0.0001) (Table 1). B. alicastrum individuals tended to be in soil with higher pH and electrical conductivity, while C. dodecandra and S. purpurea tended to be in soils with higher content of silt (Figure 2a). The nutrient contents of soils associated with each species were significantly different. (λ Wilks = 0.61, F12,372 = 8.70; P < 0.0001). Soils associated with B. alicastrum had greater contents of C, P, Ca, K, and N. C. dodecandra and S. purpurea individuals were found in soils with lower contents of P, C, and K. (Figure 2b, Table 1). Foliar nutrient contents of the three species were significantly different (λ Wilks = 0.11, F12,458 = 77.71; P < 0.0001). B. alicastrum had greater foliar contents of Na and K; C. dodecandra had more Ca and C, and S. purpurea had higher levels of N and P (Figure 2c, Table 2). Foliar N content was lower in the deciduous species C. dodecandra (1.89%, SD = 0.2), and similar between the evergreen tree B. alicastrum (2.37%, SD = 0.3) and the deciduous species S. purpurea (2.77%, SD = 0.3). Foliar Na content was more than double in B. alicastrum (0.69 cmol kg-1, SD = 0.3) than in C. dodecandra (0.32 cmol kg-1, SD = 0.1), and 5 times higher than in S. purpurea (0.12 cmol kg-1, SD = 0.2). Foliar K content was almost two times higher in B. alicastrum (4.6 cmol kg-1, SD = 1.3) compared to the levels of C. dodecandra (2.7 cmol kg-1 SD = 0.3) and S. purpurea (2.43 cmol kg-1, SD = 0.2). Foliar Ca content was double in C. dodecandra compared to B. alicastrum (2.43 cmol kg-1, SD = 0.5) and almost 4 times higher compared to S. purpurea (1.22 cmol kg-1, SD = 0.4) (Table 2).

Table 1 Physicochemical properties and nutritional contents of soils associated with three tree species (Brosimum alicastrum, Cordia dodecandra, and Spondias purpurea) growing in homegardens and forests of two regions (Northeast and Southwest ) of Yucatan, Mexico. 

R S pH EC Clay Silt Sand C N P K Na Ca
μS cm-1 % mg kg-1 cmol kg-1
Brosimum alicastrum
NE H 6.81b 0.35ab 29.60b 17.20a 53.20a 8.84b 0.58c 160.61a 0.47a 0.11ab 1.92a
(0.06) (0.04) (3.08) (1.59) (3.77) (1.41) (0.08) (15.56) (0.02) (0.02) (0.10)
F 7.18a 0.29ab 45.40a 13.89ab 40.71a 19.08a 0.91b 9.64b 0.23c 0.03b 1.49b
(0.06) (0.04) (3.08) (1.59) (3.77) (1.41) (0.08) (15.56) (0.02) (0.02) (0.10)
SW H 7.33a 0.25b 35.50ab 11.60ab 52.90a 9.29b 0.72bc 138.93a 0.31b 0.15a 1.61ab
(0.06) (0.04) (3.08) (1.59) (3.77) (1.41) (0.08) (15.56) (0.02) (0.02) (0.10)
F 7.19a 0.43a 39.22ab 10.00b 50.78a 12.70b 1.26a 20.31b 0.25bc 0.03b 1.54b
(0.06) (0.04) (3.08) (1.59) (3.77) (1.41) (0.08) (15.56) (0.02) (0.02) (0.10)
Cordia dodecandra
NE H 6.67b 0.17b 19.10c 19.80ab 61.10a 10.55a 0.84a 32.76b 0.30a 0.04b 2.13a
(0.06) (0.02) (2.13) (1.31) (2.31) (0.91) (0.06) (9.87) (0.02) (0.01) (0.11)
F 7.20a 0.27a 31.42b 15.10b 53.48a 8.40ab 0.63ab 1.89b 0.08b 0.02b 1.15b
(0.06) (0.02) (2.13) (1.31) (2.31) (0.91) (0.06) (10.76) (0.02) (0.01) (0.11)
SW H 7.39a 0.24ab 51.62a 24.20a 24.18c 6.45b 0.60b 80.02a 0.26a 0.03b 1.56b
(0.06) (0.02) (2.13) (1.31) (2.31) (0.91) (0.06) (9.87) (0.02) (0.01) (0.11)
F 6.46b 0.21ab 57.00a 9.90c 33.10b 9.42ab 0.77ab 8.48b 0.25a 0.17a 1.28b
(0.06) (0.02) (2.13) (1.31) (2.31) (0.91) (0.06) (19.25) (0.02) (0.01) (0.11)
Spondias purpurea
NE H 7.12a 0.15c 36.50b 19.50a 44.00b 6.86b 0.59b 7.62b 0.09b 0.01b 0.85b
(0.08) (0.02) (2.38) (1.41) (2.57) (1.04) (0.10) (13.61) (0.01) (0.01) (0.15)
F 6.77b 0.34a 27.30c 17.06a 55.64a 14.39a 1.37a 1.39b 0.21 a 0.03b 2.08a
(0.08) (0.02) (2.38) (1.41) (2.57) (1.04) (0.10) (19.77) (0.01) (0.01) (0.15)
SW H 7.11a 0.23bc 47.72a 21.60a 30.68c 5.81b 0.47b 69.84a 0.19a 0.11a 0.90b
(0.08) (0.02) (2.38) (1.41) (2.57) (1.04) (0.10) (13.26) (0.01) (0.01) (0.15)
F 7.10a 0.29ab 23.52c 19.50a 56.98a 13.74a 1.22a 10.73ab 0.21 a 0.12a 1.35b
(0.08) (0.02) (2.38) (1.41) (2.57) (1.04) (0.10) (22.42) (0.01) (0.01) (0.15)

Note: EC= Electrical Conductivity; R = Region (NE = Northeast, SW = Southwest ; S = System (H = Homegarden, F = Forest). Data averages: figures in parenthesis indicate standard deviation (n = 20). Different superscripts in each column indicate significant differences between systems for each variable by species.

Figure 2 Canonical discriminant groups of the three study species. Note: Brosimum alicastrum (green), Cordia dodecandra, (brown) and Spondias purpurea (yellow), for two canonical axis considering: a) physicochemical conditions of soil: pH, electrical conductivity (uS cm-1), clay (%), silt (%) and sand (%); b) soil nutrient contents: C (%), N (%), (mg kg-1), K (cmol kg-1), Na (cmol kg-1), and Ca (cmol kg-1); and c) leave nutrient contents: C (%), N (%), (mg kg-1), K (cmol kg-1), Na (cmol kg-1), and Ca (cmol kg-1

Table 2 Nutrients content in leaves of three multi-purpose species (Brosimum alicastrum, Cordia dodecandra, and Spondias purpurea) growing in homegardens and forests at two regions (Northeast and Southwest ) of Yucatan, Mexico. 

R S C N P K Na Ca
(%) (mg kg-1) (cmol kg-1)
Brosimum alicastrum
NE H 41.99a 2.61a 331.81a 3.67b 0.42b 0.43c
(1.05) (0.06) (43.76) (2.39) (0.57) (0.22)
F 40.29a 1.92b 89.85b 3.32b 0.45b 0.44c
(1.05) (0.06) (43.76) (2.39) (0.57) (0.22)
SW H 38.49a 2.50a 444.34a 5.85a 1.09a 3.68b
(1.05) (0.06) (43.76) (2.39) (0.57) (0.22)
F 33.34b 2.46a 153.79b 5.57a 1.27a 5.16a
(1.05) (0.06) (43.76) (2.39) (0.57) (0.22)
Cordia dodecandra
NE H 35.34c 2.17a 211.74a 2.64a 0.24b 3.31b
(0.84) (0.07) (18.13) (2.70) (0.41) (0.24)
F 33.45c 1.94ab 122.70b 2.41a 0.18b 4.01b
(0.84) (0.07) (18.13) (2.70) (0.41) (0.24)
SW H 52.25b 1.70b 227.53a 2.75a 0.72a 5.06a
(0.84) (0.07) (18.13) (2.70) (0.41) (0.24)
F 57.49a 1.73b 134.25b 3.08a 0.63a 4.22ab
(0.84) (0.07) (18.13) (2.70) (0.41) (0.24)
Spondias purpurea
NE H 40.73b 3.23a 809.01a 2.64a 0.07c 0.78b
(0.78) (0.06) (28.54) (1.36) (0.02) (0.13)
F 40.71b 2.54b 319.48c 2.12b 0.17b 1.08b
(0.78) (0.06) (28.54) (1.36) (0.02) (0.13)
SW H 44.17a 2.70b 494.50b 2.98a 0.38a 1.19b
(0.78) (0.06) (28.54) (1.36) (0.02) (0.13)
F 41.51ab 2.60b 215.78c 1.97b 0.36a 1.81 a
(0.78) (0.06) (28.54) (1.36) (0.02) (0.13)

Note: R = Region (NE = Northeast, SW = Southwest, S = System (H = Homegarden, F = Forest). Data averages: figures in parenthesis indicate standard deviation (n = 20). Different superscripts indicate significant differences between systems and regions for each variable by species.

Variation associated with systems management

Contents of sand, silt, and clay are essential variables at the level of species, region, and system. Both, soil physicochemical properties and nutrient contents helped are clearly distinct between homegardens from forests. The variation in soil properties suggests that the homegarden species develop in soils with higher pH and less electrical conductivity than those of the forest (Table 1, Figure 3). Homegardens variation in soil texture also exhibits different patterns per region in the case of B. alicastrum and C. dodecandra. S. purpurea grows in homegardens with more clay and less sand (Figure 3). The variance in physicochemical properties was significant between management systems at both regions, except for the percentages of silt in soils associated with C. dodecandra and sand in those associated with B. alicastrum. Averages and standard deviations of soil physicochemical properties are shown in Table 1. Soils pH in homegardens ranged from 6.67 - 7.39, and electrical conductivity oscillated between 0.17 - 0.35 µS cm-1. Soil pH in the forest oscillated between 6.46 - 7.20 and electrical conductivity from 0.21 to 0.43 µS cm-1. B. alicastrum and C. dodecandra pH averages were significantly higher in forest soils than in homegardens at the Northeast region; in contrast, S. purpurea and C. dodecandra soil pH averages were significantly higher in homegardens at the Northeast region and Southwest region, respectively. Electrical conductivity averages were 1.5 and 2 times lower in homegardens soils than in the forests for the species B. alicastrum at the Southwest and C. dodecandra and S. purpurea at the Northeast. B. alicastrum and C. dodecandra homegardens soils had twice less clay at the Northeast; soil of C. dodecandra at the Southwest region had 2.4 times more silt and 1.4 less sand. S. purpurea soils in both regions had 1.3 - 2 times more clay and 1.2 - 1.8 times more sand. Foliar C, Na, K, and Ca contents were higher at the Southwest region, whereas P and N contents were higher in leaves from the Northeast region; foliar P content was three times higher in trees from homegardens than in forest individuals (Table 2). At each region, it was possible to discriminate between individuals from homegardens or forests based on the variation of nutrient contents in soils and leaves for each of the species (Figure 4a). Soils at homegardens associated to B. alicastrum had higher contents of P, K, and Ca, while forest soils at the Northeast region had higher levels of C; forest soils in Southwest region had greater contents of N and Na (Figure 4a). Foliar Na and Ca contents were higher in the Northeast forests; at the Southwest, C levels were higher in both homegardens and forests. P, N, and Ca contents were more elevated in Southwest homegardens (Figure 4b). Northeast homegardens where C. dodecandra grows have higher contents of Ca, K, and N, while Southwest homegardens have higher levels of P and Na (Figure 4c). Foliar P, K, and Na content were higher in Southwest homegardens; in the Northeast, homegardens and forest leaves had higher levels of N; Southwest forest leaves were more abundant in C (Figure 4d). Homegarden soils of the Northeast region where S. purpurea grows had higher contents of P in both regions; P and K levels were higher in Southwest forests compared to Northeast forest. In contrast, C, N, and Ca levels were higher at the Northeast (Figure 4e). Foliar K and Na contents were greater in Southwest homegardens, and C in Southwest forest. Northeast homegardens had higher levels of N and P (Figure 4f). Soil nutrient contents exhibited differences between systems at both regions, except for P values in the case of S. purpurea. Foliar nutrient contents also differed, except for B. alicastrum K and N, Na, and K in C. dodecandra and S. purpurea (Table 2). C and N contents in homegardens soils were approximately two times lower than in the forests. However, only C averages were significantly different for B. alicastrum at the Northeast, and for S. purpurea in both regions. N averages also had significant variations in B. alicastrum and S. purpurea at both regions. At the Southwest, foliar C content was slightly greater in homegarden Brosimum alicastrum and C. dodecandra species than in forests. The same was true for N in C. dodecandra at the Northeast. Soil P content in was 5 to 18 times larger in homegardens, with significant differences in both regions for B. alicastrum and C. dodecandra at the Southwest. The three species P foliar contents were between 1.7 and 3.7 greater in homegardens at both regions. Soil K and Ca contents at the Northeast region were between 1.2 and three times more abundant in homegardens than in the forest’s soils where B. alicastrum and C. dodecandra grow, and approximately two times lower in S. purpurea soils at both regions. Foliar K content was 1.2 - 1.5 times higher in S. purpurea, and Ca was 1.5 times lower in Southwest B. alicastrum trees, and S. purpurea leaves. At the Southwest region, B. alicastrum Na content in homegarden soils was three times higher, while C. dodecandra levels were three times lower. However, foliar Na content in both species was similar in homegardens and forests at both regions. It was 2.4 times lower at homegardens than in forest leaves at the Southwest region.

Figure 3 Canonical discriminant groups of study species. Note: a) Brosimum alicastrum, b) Cordia dodecandra and c) Spondias purpurea for two management systems: forest (light colors) and homegardens (dark colors) in two regions: Northeast (triangles) and southweast (dots). Canonical axis considering the physicochemical conditions of soil: pH, electrical conductivity, clay (%), silt (%) and sand (%). 

Figure 4 Canonical discriminant groups of study species Note: Brosimum alicastrum (green), Cordia dodecandra (brown), and Spondias purpurea (yellow) for two management systems: forest (light colors) and homegardens (dark colors) in two regions: Northeast (triangles) and Southwest (circles). Canonical axis considering: nutrient contents in soil (a, c, e): C (%), N (%), (mg kg-1), K (cmol kg-1), Na (cmol kg-1), and Ca (cmol kg-1); and nutrient contents in leaves variables (b, d, f): C (%), N (%), (mg kg-1), K (cmol kg-1), Na (cmol kg-1), and Ca (cmol kg-1). 

Discussion

Nutrients additions to soil and plants uptake and reabsorption are highly dependent of several factors such as climate, species type and, management, the latter especially important in agroecosystems. Understanding the response of species to the different environmental factors poses a challenge because there always are multiple assemblages of coupled gradients (Muscarella et al. 2006), and not all can be studied or controlled at the same time. Climate (particularly soil humidity and precipitation) is one of the main factors leading ecosystems nutrients cycling (Engelhardt 2021, Grau-Andrés et al. 2021, Singh et al. 2021). This study compared soil and foliar nutrients contents associated with three tropical tree species growing in two climate regions, the Southwest region with an Aw0 climate and the Northeast region with a Aw1 with an average annual rainfall 15% higher. The forest soils in which the three studied species (B. alicastrum, C. dodecandra and S. purpurea) were established had different properties; niche differences can be associated not only to the heterogeneity of the habitats, but also to the specific traits of the species that foster its distribution, such as its radicular system, trunk, and foliage traits, etcetera (Mori et al. 2019).

Comparison of foliar nutrient contents (C, N, P, K, Ca, and Na) between both humidity regions of the three studied species showed differences for all nutrients except P (all species) and K (C. dodecandra and S. purpurea). Campo (2016) studied a humidity gradient in sites of wild vegetation at Yucatan, finding low contents of N, NO3, and P in soils of the Northeast region, this study found that these relationships can be modified by the species and/or management, since only P contents were lower in Northeast forest soils in the three species. At the species level, foliar habit influences nutrients cycling dynamics in ecosystems (Reich 1995), whereas in perennial species leaf abscission occurs gradually along the year, in deciduous species occurs seasonally, determining their resistance/tolerance to the hydric stress, as well as nutrient reabsorption (Brodribb et al. 2021, Xu et al. 2021). However, drought can promote early leaf abscission in both evergreen and deciduous species, increasing litter phosphorus losses only in evergreens (Dallstream and Piper 2021). Regarding to soil properties, we find that B. alicastrum is found in soils with higher electrical conductivity and higher levels of clay. C. dodecandra and S. purpurea are associated with soils with lower pH and electrical conductivity and higher content of silt. Evergreen species, which demand great amounts of water, are less efficient in using water compared to deciduous species (Tomlinson et al. 2013). Hence, the association of B. alicastrum with soils with higher content of clay and better water retention is expected. C. dodecandra is associated with soils undergoing recurrent floods during the rainy season, while S. purpurea is associated with rolling hills where water drains easily. Thus, C. dodecandra seems to tolerate stress caused by water excess as it is a species relying on water of the upper 30 cm of soil (Querejeta et al. 2007), while S. purpurea endures stress caused by water deficit. It is generally accepted that evergreen species are more abundant than deciduous species in nutrientpoor soils (Goldberg 1982); on the contrary, our study found that B. alicastrum, an evergreen species, grew in soils with greater nutritional contents than the two deciduous species, suggesting there may be other physical factors determining its presence in such soils. These trees from forest soils are found in the best-preserved area of the ecosystems where nutrient cycles are better preserved. Absorption of C, N, P, K, Ca, and Na depended on the nutritional contents of the soils, suggesting that the three species have enough phenotypic plasticity to allow allocating nutrients to leaves depending on the different edaphic conditions. For instance, soils associated with S. purpurea were found to have on average, the lowest nutrient contents; however, its leaves had the highest concentration of the three species, suggesting that S. purpurea has a high nutrient extraction capacity and that it may cause low levels of nutrients in soils. Although we expected that deciduous species in the forest would have greater foliar concentrations of N and P than the evergreen species (Chabot and Hicks 1982), we found that S. purpurea had the highest values of N and P; however, B. alicastrum had higher values of foliar P than C. dodecandra. The latter is found in sites in which periodical flooding takes place each year, a factor that promotes an increase in P mobilization from the soil (Tsheboeng et al. 2014, Vivekananthan et al. 2023). B. alicastrum had the highest K and Na foliar contents and C. dodecandra, the highest Ca content, evidence of the different nutritional needs of each species. Nonetheless, the final balance is that the evergreen species B. alicastrum squanders nutrients, while the deciduous species C. dodecandra and S. purpurea transfer them because deciduous species release all their nutrients when their leaves fall off and decay (except for those that are reabsorbed), a process that is much slower in the evergreen species. Besides biotic and abiotic factors, management is a fundamental factor influencing nutrient soil availability in agroecosystems (Tuğrul 2019, Hartmann and Six 2023, Saliu et al. 2023). For instance, when new species are introduced in a homegarden, the edaphic conditions and water availability are often different from those from their place of origin due not only to the natural conditions of the new place but also to the management practices. People uses protective management practices (Vogl-Lukasser et al. 2010) to achieve the establishment and better performance of their species of interest. Nevertheless, only species with high phenotypic plasticity are suited to be cultivated under different conditions than those of their wild environments. Our results indicate that the three species have overlapped edaphic niches, with a small mismatch in the physicochemical properties of B. alicastrum individuals compared to the other two species, suggesting niche plasticity (Maia et al. 2020). Homegarden trees were distributed in soils with less variation compared to those in the forest, regardless of the species; in addition, most physicochemical properties and soil nutrients exhibited greater differences between management systems (homegardens vs forests) than between regions. The lower variation in soil properties among homegardens must be with their proximity because in the wild tree populations trees are often far from each other. Finally, phosphorous content was always greater in soils and tree leaves of homegardens (except by soils associated to S. purpurea in Northeast region); Estrada-Medina et al. (2018) found that the differences between homegarden and forest soils are likely caused by P enrichment in homegardens due to management practices, as well as contamination from detergents. Thus, it seems that tree species are taking advantage of this surplus of P in soils.

Conclusions

The study found that foliar nutrient contents varied according to the studied species, soil conditions, and management systems at each region. Our results suggest that foliar P content is determined primarily by management, whereas C and N depend mainly on the region and the species; K, Na, and Ca contents in leaves have more to do with the species and management. Management of species also affects nutrients availability because species have a differential response to soil conditions in homegardens and forests. In the forest, soils associated with each species have different properties, which influences foliar nutrient contents, while homegardens soils have more similarities. In homegardens, management facilitates the coexistence of species coming from different edaphic conditions. Nevertheless, further studies are necessary to determine the adaptation capacities of each species.

Acknowledgements

We thank to the Subsecretaría de Gestión para la Protección Ambiental of the Secretaría de Medio Ambiente y Recursos Naturales (SEMARNAT) for granting permission to collect the biological samples (OFFICIAL LETTER: SGPA/DGGFS/712/1429/16). We are grateful to the inhabitants of Tizimin and Tzucacab municipalities for providing the facilities to conduct this study in their homegardens and forests. This work was supported by the Consejo Nacional de Ciencia y Tecnología (CONACyT), Ciencia Básica Grant [CB2014-0236428]. We are grateful to CONACyT for the undergraduate thesis scholarship awarded to Grelty Pech Puch (scholarship number: 23854).

Literature cited

Aerts R, Chapin III FS (1999) The mineral nutrition of wild plants revisited: a re-evaluation of processes and patterns. Advances in ecological research 30: 1-67. [ Links ]

Ahlawat V, Dadarwal RS, Chaudhary PYK (2023) Effects of long-term nutrient management practices on physicochemical properties of soils: A review. The Pharma Innovation Journal 12: 491-496. [ Links ]

Bai K, Lv S, Ning S, Zeng D, Guo Y, Wang B (2019) Leaf nutrient concentrations associated with phylogeny, leaf habit and soil chemistry in tropical karst seasonal rainforest tree species. Plant and Soil 2019: 434-305. [ Links ]

Bremner JM (1996) Nitrogen-total. In: Sparks DL (ed) Methods of soil analysis: Part 3. Chemical methods, agronomy monograph. American Society of Agronomy-Soil Science Society of America. Madison, WI, USA. pp: 1085-1121. [ Links ]

Briat JF, Gojon, A, Plassard C, Rouached H, Lemaire G (2020) Reappraisal of the central role of soil nutrient availability in nutrient management in light of recent advances in plant nutrition at crop and molecular levels. European Journal of Agronomy 116: 126069. DOI: 10.1016/j.eja.2020.126069. [ Links ]

Brodribb TJ, Dupuy JM, González-M R, Hulshof CM, Medvigy D, Allerton TA, Pizano C, Salgado-Negret B, Schuartz N, Van-Bloem S, Waring B, Powers JS (2021) Beyond leaf habit: Generalities in plant function across 97 tropical dry forest tree species. The New phytologist 232: 148-161. [ Links ]

Campo J (2016) Shift from ecosystem P to N limitation at precipitation gradient in tropical dry forests at Yucatan, Mexico. Environmental Research Letters 11(9): 095006. DOI: 10.1088/1748-9326/11/9/095006. [ Links ]

Chabot BF, Hicks DJ (1982) The ecology of leaf life spans. Annual Review of Ecology and Systematics 13: 229-259. [ Links ]

Chakkour S, Bergmeier E, Meyer S, Kassout J, Kadiri M, Ater M (2023) Plant diversity in traditional agroecosystems of North Morocco. Vegetation Classification and Survey 4: 31-45. [ Links ]

Dallstream C, Piper FI (2021) Drought promotes early leaf abscission regardless of leaf habit but increases litter phosphorus losses only in evergreens. Australian Journal of Botany 69: 121-130. [ Links ]

DiGiano M, Ellis E, Keys E (2013) Changing landscapes for forest commons: Linking land tenure with forest cover change following Mexico’s 1992 agrarian counter-reforms. Human Ecology 41: 707-723. [ Links ]

Engelhardt IC, Niklaus PA, Bizouard F, Breuil MC, Rouard N, Deau F, Philippot L, Barnard RL (2021) Precipitation patterns and N availability alter plant-soil microbial C and N dynamics. Plant and Soil 466: 151-163. [ Links ]

Estrada-Medina H, Patricia Montañez-Escalante, Trejo-Salazar LE, Barrientos-Medina RC, López-Díaz M, Álvarez- Rivera OO (2018) Effects of greywater discharges on shallow soil properties. International Journal of Agriculture and Environmental Research 4: 44-57. [ Links ]

García-Palacios P, Maestre FT, Milla R (2013) Community-aggregated plant traits interact with soil nutrient heterogeneity to determine ecosystem functioning. Plant and soil 364: 119-129. [ Links ]

Gee GW, Bauder JW (1986) Particle-size analysis. In: Klute A (ed) Methods of soil analysis: Part physical and mineralogical methods. Agronomy Monograph. American Society of Agronomy-Soil Science Society of America. Madison, WI, USA. pp: 363-375. [ Links ]

Givnish TJ (2002) Adaptive significance of evergreen vs deciduous leaves: solving the triple paradox. Silva Fennica 36: 703-743. [ Links ]

Goldberg D (1982) The distribution of evergreen and deciduous trees relative to soil type: An example from the Sierra Madre, Mexico, and a general model. Ecology 63: 942-951. [ Links ]

Grau-Andrés R, Wardle DA, Nilsson MC, Kardol P (2021) Precipitation regime controls bryosphere carbon cycling similarly across contrasting ecosystems. Oikos 130: 512-524. [ Links ]

Hartmann M, Six J (2023) Soil structure and microbiome functions in agroecosystems. Nature Reviews Earth & Environment 4: 4-18. [ Links ]

Helmke PA, Sparks DL (1987) Lithium, sodium, potassium, rubidium, cesium. In: Sparks DL (ed) Methods of soil analysis: Part 3. Chemical methods. Agronomy Monograph. American Society of Agronomy-Soil Science Society of America. Madison, WI, USA. pp: 551-574. [ Links ]

Huang Y, Zhang X, Zang R, Fu S, Ai X, Yao L, Ding Y, Huang J, Lu X (2008) Functional recovery of a subtropical evergreen-deciduous broadleaved mixed forest following clear cutting in central China. Scientific reports 8(1): 1-8. DOI: 10.1038/s41598-018-34896-5 [ Links ]

INEGI (2010a) Compendio de información geográfica municipal 2010, Tizimín, Yucatán. Instituto Nacional de Estadística, Geografía e Informática. https://www.inegi.org.mx/contenidos/app/mexicocifras/datos_geograficos/31/31096.pdf . Fecha de consulta: 12 de mayo de 2023. [ Links ]

INEGI (2010b) Compendio de información geográfica municipal 2010, Tzucacab, Yucatán. Instituto Nacional de Estadística, Geografía e Informática. https://www.inegi.org.mx/contenidos/app/mexicocifras/datos_geograficos/31/31098.pdf . Fecha de consulta: 12 de mayo de 2023. [ Links ]

Jakovac CC, Junqueira AB, Crouzeilles R, Peña-Claros M, Mesquita RC, Bongers F (2021) The role of land-use history in driving successional pathways and its implications for the restoration of tropical forests. Biological Reviews 96: 1114-1134. [ Links ]

Kuchenbuch R, Claassen N, Jungk A (1986) Potassium availability in relation to soil moisture. Plant and soil 95: 233-243. [ Links ]

Maia VA, de Aguiar-Campos N, de Souza CR, Fagundes NCA, Santos ABM, País AJR, Morel JD, Farrapo CL, dos Santos RM (2020) Temporal shifts on tree species niches: how do they affect species dynamics and community diversity? Plant Ecology 221: 25-39. [ Links ]

Manly BF, Navarro AJ (2016) Multivariate statistical methods: a primer. Chapman and Hall/CRC. Boca Raton, FL, USA. 269p. [ Links ]

Mayer M, Prescott CE, Abaker WE, Augusto L, Cécillon L, Ferreira GW, James J, Jandl R, Katzensteiner K, Laclau JP, Laganière J, Nouvellon Y, Paré D, Stanturf JA, Vanguelova EI, Vesterdal L (2020) Tamm Review: Influence of forest management activities on soil organic carbon stocks: A knowledge synthesis. Forest Ecology and Management 466: 118127. DOI: 10.1016/j.foreco.2020.118127. [ Links ]

Miao R, Ma J, Liu Y, Liu Y, Yang Z, Guo M (2019) Variability of aboveground litter inputs alters soil carbon and nitrogen in a coniferous-broadleaf mixed forest of Central China. Forests 10(2): 188. DOI: 10.3390/f10020188. [ Links ]

Mori GB, Schietti J, Poorter L, Piedade MTF (2019) Trait divergence and habitat specialization in tropical floodplain forests trees. PLoS one 14(2): e0212232. DOI: 10.1371/journal.pone.0212232 [ Links ]

Muscarella R, Uriarte M, Erickson DL, Swenson NG, Kress WJ, Zimmerman JK (2016) Variation of tropical forest assembly processes across regional environmental gradients. Perspectives in plant ecology, evolution and systematics 23: 52-62. [ Links ]

Nelson DW, Sommers LE (1987) Organic matter. In: Sparks DL (ed) Methods of soil analysis: Part 3. Chemical methods. Agronomy Monograph. American Society of Agronomy-Soil Science Society of America. Madison, WI, USA. pp: 961-1010. [ Links ]

Querejeta JI, Estrada-Medina H, Allen MF, Jiménez-Osornio JJ (2007) Water source partitioning among Mexican native trees growing on shallow karst soils in a seasonally dry tropical climate. Oecologia 152: 26-36. [ Links ]

Reich PB (1995) Phenology of tropical forests: patterns, causes, and consequences. Canadian Journal of Botany 73: 164-174. [ Links ]

Rhoades JD (1996) Salinity: Electrical Conductivity and Total Dissolved Solids. In: Sparks DL (ed) Methods of soil analysis: Part 3. Chemical Methods. Agronomy Monograph. American Society of Agronomy-Soil Science Society of America. Madison, WI, USA. pp: 417-436. [ Links ]

Saliu F, Luqman M, Alkhaz’leh HS (2023) A Review on the impact of sustainable agriculture practices on crop yields and soil health. International Journal of Research and Advances in Agricultural Science 2 (3): 1-13. [ Links ]

Schmidt JE, Kent AD, Brisson VL, Gaudin A (2019) Agricultural management and plant selection interactively affect rhizosphere microbial community structure and nitrogen cycling. Microbiome 7(1): 1-18. DOI: 10.1186/s40168-019-0756-9. [ Links ]

Sierra CA, Trumbore SE, Davidson EA, Vicca S, Janssens I (2015) Sensitivity of decomposition rates of soil organic matter with respect to simultaneous changes in temperature and moisture. Journal of Advances in Modeling Earth Systems 7: 335-356. [ Links ]

Singh S, Mayes MA, Shekoofa A, Kivlin SN, Bansal S, Jagadamma S (2021) Soil organic carbon cycling in response to simulated soil moisture variation under field conditions. Scientific Reports 11(1): 1-13. DOI: 10.1038/s41598-021-90359-4. [ Links ]

Suarez DL (1996) Beryllium. Magnesium, calcium, strontium and barium. In: Sparks DL (ed) Methods of soil analysis: Part 3. Chemical methods. Agronomy Monograph. American Society of Agronomy-Soil Science Society of America. Madison, WI, USA. pp: 551-574. [ Links ]

Thomas GW (1996) Soil pH and soil acidity. In: Sparks DL (ed) Methods of soil analysis: Part 3. Chemical methods. Agronomy Monograph. American Society of Agronomy-Soil Science Society of America. Madison, WI, USA. pp: 475-490. [ Links ]

Tian L, Zhao L, Wu X, Fang H, Zhao Y, Hu G, Yue G, Sheng Y, Wu J, Chen J, Wang Z, Li W, Zou D, Ping C, Shang W, Zhao Y, Zhang G (2018) Soil moisture and texture primarily control the soil nutrient stoichiometry across the Tibetan grassland. Science of the Total Environment 622: 192-202. [ Links ]

Toledo VM, Barrera-Bassols N, García-Frapolli E, Alarcón-Chaires P (2008) Uso múltiple y biodiversidad entre los mayas yucatecos (México). Interciencia 33: 345-352. [ Links ]

Tomlinson KW, Poorter L, Sterck FJ, Borghetti F, Ward D, de Bie S, van Langevelde F (2013) Leaf adaptations of evergreen and deciduous trees of semi-arid and humid savannas on three continents. Journal of Ecology 101: 430-440. [ Links ]

Tsheboeng G, Bonyongo M, Murray-Hudson M (2014) Flood variation and soil nutrient content in floodplain vegetation communities in the Okavango Delta. South African Journal of Science 110: 1-5. DOI: 10.1590/sajs.2014/20130168. [ Links ]

Tuğrul KM (2019) Soil management in sustainable agriculture. In: Hasanuzzaman M, Teixeira MCM, Fujita M, Rodrigues TA (eds). Sustainable Crop Production. IntechOpen. London, United Kingdom. 338p. [ Links ]

Vitousek PM, Naylor R, Crews T, David MB, Drinkwater LE, Holland E, Johnes PJ, Katzenberger J, Martinelli LA, Matson PA, Nziguheba G, Ojima D, Palm CA, Robertson GP, Sanchez PA, Townsend AR, Nziguheba G (2009) Nutrient imbalances in agricultural development. Science 324: 1519-1520. [ Links ]

Vivekananthan K, Matthew QM, Janina MP, Genevieve AA, David AL, Merrin LM (2023) Phosphorus dynamics in agricultural surface runoff at the edge of the field and in ditches during overbank flooding conditions in the Red River Valley, Canadian Water Resources Journal / Revue Canadienne des Ressources Hydriques. DOI: 10.1080/07011784.2023.2194867 [ Links ]

Vogl-Lukasser B, Vogl CR, Gütler M, Heckler S (2010) Plant species with spontaneous reproduction in homegardens in Eastern Tyrol (Austria): Perception and management by women farmers. Ethnobotany Research and Applications 8: 1-15. [ Links ]

Wieder W, Cleveland C, Smith W, Todd-Brown K (2015) Future productivity and carbon storage limited by terrestrial nutrient availability. Nature Geoscience 8: 441-444. [ Links ]

Xu M, Zhu Y, Zhang S, Feng Y, Zhang W, Han X (2021) Global scaling the leaf nitrogen and phosphorus resorption of woody species: Revisiting some commonly held views. Science of The Total Environment 788: 147807. DOI: 10.1016/j.scitotenv.2021.147807. [ Links ]

Received: November 29, 2021; Accepted: May 17, 2023

*Corresponding author: hector.estrada@correo.uady.mx

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License