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1.
Proc Natl Acad Sci U S A ; 121(6): e2305944121, 2024 Feb 06.
Artículo en Inglés | MEDLINE | ID: mdl-38252845

RESUMEN

Protected areas are of paramount relevance to conserving wildlife and ecosystem contributions to people. Yet, their conservation success is increasingly threatened by human activities including habitat loss, climate change, pollution, and species overexploitation. Thus, understanding the underlying and proximate drivers of anthropogenic threats is urgently needed to improve protected areas' effectiveness, especially in the biodiversity-rich tropics. We addressed this issue by analyzing expert-provided data on long-term biodiversity change (last three decades) over 14 biosphere reserves from the Mesoamerican Biodiversity Hotspot. Using multivariate analyses and structural equation modeling, we tested the influence of major socioeconomic drivers (demographic, economic, and political factors), spatial indicators of human activities (agriculture expansion and road extension), and forest landscape modifications (forest loss and isolation) as drivers of biodiversity change. We uncovered a significant proliferation of disturbance-tolerant guilds and the loss or decline of disturbance-sensitive guilds within reserves causing a "winner and loser" species replacement over time. Guild change was directly related to forest spatial changes promoted by the expansion of agriculture and roads within reserves. High human population density and low nonfarming occupation were identified as the main underlying drivers of biodiversity change. Our findings suggest that to mitigate anthropogenic threats to biodiversity within biosphere reserves, fostering human population well-being via sustainable, nonfarming livelihood opportunities around reserves is imperative.


Asunto(s)
Biodiversidad , Ecosistema , Humanos , Animales , Agricultura , Animales Salvajes , Cambio Climático
2.
Rev. biol. trop ; 71(1)dic. 2023.
Artículo en Español | LILACS-Express | LILACS | ID: biblio-1449509

RESUMEN

Introducción: Los bosques de niebla se caracterizan por su distribución insular en sistemas montañosos tropicales. Florísticamente son complejos y heterogéneos, y con vacíos de información que afectan la comprensión de cómo varía su diversidad y estructura. Objetivo: Analizar los patrones de diversidad, estructura y composición del bosque de niebla en México. Métodos: Contamos y medimos plantas leñosas en 40 parcelas de 0.1 ha de cinco sitios en aproximadamente 200 km a lo largo de la Sierra Madre de Chiapas, México (1 700 - 2 100 m.s.n.m.). Usamos tres métodos estadísticos: análisis de varianza (diversidad verdadera y estructura entre sitios), regresión simple y métodos multivariados (clima y elevación). Resultados: Registramos 4 021 individuos (220 especies, 60 familias). En la diversidad verdadera, solo encontramos diferencias en riqueza de especies, con un ligero incremento hacia la parte central del área. La diversidad fue constante para especies comunes y dominantes. No encontramos diferencias en la densidad de árboles o área basal entre los sitios. Sin embargo, hubo menor densidad y mayor área basal a mayores elevaciones. La diversidad beta y la diferenciación en la composición florística es alta e importante entre las parcelas de un mismo sitio y se incrementa con la distancia entre los sitios. Conclusiones: La diversidad beta y la diferenciación florística contribuyen significativamente en la variación del bosque de niebla. Las variables climáticas y la altitud tienen efectos distintos sobre la diversidad y estructura.


Introduction: Cloud forests are noted for their narrow distribution in tropical mountain systems. Floristically, they are complex and heterogeneous, with gaps in information that hinder the understanding of how their diversity and structure vary. Objective: To analyze patterns of diversity, structure, and composition of the cloud forest in Mexico. Methods: We counted and measured woody plants in forty 0.1 ha plots from five sites in approximately 200 km along the Sierra Madre of Chiapas, Mexico (1 700 - 2 100 m.a.s.l.). We used three statistical methods: analysis of variance (diversity true and structure among sites), simple regression and multivariate statistics (climate and elevation). Results: We recorded 4 021 individuals (220 species, 60 families). In true diversity, we only found differences for species richness, with a slight increase toward the central part of the area. Diversity was constant for common and dominant species. We found no differences in tree density or basal area between sites. However, there was less density and more basal area at higher elevations. Beta diversity and differentiation in floristic composition are high and important between plots of the same site, and they increase with distance between sites. Conclusions: Beta diversity and floristic differentiation significantly contribute to variation in the cloud forest. Climatic variables and altitude have different effects on diversity and structure.

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