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      Influence of vegetation type and season on rodent assemblage in a Mexican temperate forest mosaic Translated title: Influencia del tipo de vegetación y la temporada sobre el ensamblaje de roedores en un mosaico de bosque templado mexicano

      research-article
      ,
      Therya
      Asociación Mexicana de Mastozoología A. C.
      abundance, dominance, Mus musculus, rainfall, species richness

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          Abstract

          Abstract: Knowing the factors that influence abundance, distribution and species richness is key to establishing local conservation strategies. We evaluated the influence of vegetation type (pine forest, oak-alder-forest and grassland) and season (dry, wet), on the rodent assemblage (richness and abundance in space and time) in a mosaic of temperate forest in Mexico. The completeness of the inventory was evaluated by nonparametric estimators ACE and Jackknife. We used a GLM to evaluate the effect of vegetation type, season and interaction (vegetation type*season) on the richness and abundance of rodents. The effects of factors and their interaction on the abundance of each species were evaluated with two- way ANOVA with rank transformations. To analyze changes in the rodent assembly structure, we used rank-curves abundances and ANCOVA to assess differences in species relative abundance (dominance). We found that rodents were more abundant in the pine forest and during the dry season, but the interaction between oak-alder forest and the dry season also favored abundance. At the species level, Peromyscus melanotis was abundant in the pine forest and Reithrodontomys fulvescens in the oak-alder-forest. Between seasons, only the abundance of P. maniculatus and P. melanotis was higher in the dry season than the wet season. The results show that in a temperate forest mosaics with trees are of crucial importance for rodent conservation during the dry season. However connectivity among temperate plant communities (pine forest, oak-alder forest and grassland) must be a strategy to consider in the study of rodents assemblage and their dynamics in temperate forests.

          Translated abstract

          Resumen: Conocer los factores que influyen en la abundancia, distribución y riqueza de especies es clave para el establecimiento de estrategias locales de conservación. Evaluamos la influencia del tipo de vegetación (pinar, encinal-ilital, pastizal) y la temporada (seca, lluviosa), sobre el ensamblaje de roedores (riqueza y abundancia en espacio y tiempo) en un mosaico de bosque templado en México. Usamos los estimadores no paramétricos ACE and Jackknife para evaluar la completitud del inventario de especies. Utilizamos un modelo lineal generalizado para evaluar el efecto del tipo de vegetación, la temporada y la interacción (tipo de vegetación*temporada) sobre la riqueza y abundancia de roedores. El efecto de los factores y su interacción sobre la abundancia de cada especie se evaluó con un ANOVA de dos vías con transformaciones a rangos. Para analizar cambios en la estructura del ensamblaje de roedores utilizamos curvas de rango-abundancia y usamos un ANCOVA para probar diferencias en la abundancia relativa de especies (dominancia). Encontramos que los roedores fueron más abundantes en el bosque de pino y durante la temporada seca, pero la interacción entre el encinal- ilital y la temporada seca también favorecieron la abundancia. A nivel de especie, Peromyscus melanotis fue abundante en el bosque de pino y Reithrodontomys fulvescens en el encinal-ilital. La abundancia de P. maniculatus y P. melanotis fue mayor en la temporada seca que en la de lluvias. Los resultados muestran que en un bosque templado los mosaicos con árboles son de vital importancia para la conservación de roedores durante la temporada seca. No obstante, la conectividad entre comunidades vegetales templadas (bosque de pino, encinal-ilital y zacatal) debe ser una estrategia a considerar en el estudio del ensamblaje de roedores y su dinámica en bosques templados.

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          Biostatistical Analysis

          Zar's Biostatistical Analysis, Fifth Edition , is the ideal book for readers seeking practical coverage of statistical analysis methods used by researchers to collect, summarize, analyze and draw conclusions from biological research. The latest edition of this best-selling textbook is both comprehensive and easy to read. It is suitable as an introduction for beginners and as a comprehensive reference book for biological researchers and other advanced users. Introduction; Populations and Samples; Measures of Central Tendency; Measures of Dispersion and Variability; Probabilities; The Normal Distribution; One-Sample Hypotheses; Two-Sample Hypotheses; Paired-Sample Hypotheses; Multisample Hypotheses: The Analysis of Variance; Multiple Comparisons; Two-Factor Analysis of Variance; Data Transformations; Multiway Factorial Analysis of Variance; Nested (Hierarchical) Analysis of Variance; Multivariate Analysis of Variance; Simple Linear Regression; Comparing Simple Linear Regression Equations; Simple Linear Correlation; Multiple Regression and Correlation; Polynomial Regression; Testing for Goodness of Fit; Contingency Tables; More on Dichotomous Variables; Testing for Randomness; Circular Distributions: Descriptive Statistics; Circular Distributions: Hypothesis Testing For all readers interested in biostatistics.
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            Ecology and the ratchet of events: climate variability, niche dimensions, and species distributions.

            Climate change in the coming centuries will be characterized by interannual, decadal, and multidecadal fluctuations superimposed on anthropogenic trends. Predicting ecological and biogeographic responses to these changes constitutes an immense challenge for ecologists. Perspectives from climatic and ecological history indicate that responses will be laden with contingencies, resulting from episodic climatic events interacting with demographic and colonization events. This effect is compounded by the dependency of environmental sensitivity upon life-stage for many species. Climate variables often used in empirical niche models may become decoupled from the proximal variables that directly influence individuals and populations. Greater predictive capacity, and more-fundamental ecological and biogeographic understanding, will come from integration of correlational niche modeling with mechanistic niche modeling, dynamic ecological modeling, targeted experiments, and systematic observations of past and present patterns and dynamics.
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              MASTING IN ANIMAL-DISPERSED PINES FACILITATES SEED DISPERSAL

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                Author and article information

                Journal
                therya
                Therya
                Therya
                Asociación Mexicana de Mastozoología A. C. (La Paz, Baja California Sur, Mexico )
                2007-3364
                September 2016
                : 7
                : 3
                : 357-369
                Affiliations
                [01] orgnameUniversidad Veracruzana orgdiv1Instituto de Investigaciones Forestales Mexico peredofr@ 123456gmail.com
                [02] orgnameUniversidad Nacional Autónoma de México orgdiv1Instituto de Investigaciones en Ecosistemas y Sustentabilidad Mexico vazquezdg@ 123456gmail.com
                Article
                S2007-33642016000300357 S2007-3364(16)00700300357
                10.12933/therya-16-390
                98b3294b-8e2e-4d13-adcc-5eeb5044f499

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 28 March 2016
                : 02 August 2016
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 65, Pages: 13
                Product

                SciELO Mexico

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                species richness,rainfall,Mus musculus,dominance,abundance
                species richness, rainfall, Mus musculus, dominance, abundance

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