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April 18, 2026Journal of Plant Ecology0 citationsOpen Access

Species enrichment in tropical dry forest recovery: successional patterns of seed rain attributes

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GCGerardo Luis Cervantes-JiménezVSValentina Sandoval‐GranilloMRMarco Antonio Romero-Romero

Key Points

  • This research aims to understand how seed rain attributes influence the recovery of tropical dry forests after disturbances.
  • Collected monthly seed rain samples over one year in a successional chronosequence (1–60 years).
  • Analyzed seed rain richness and abundance across autochthonous and allochthonous components.
  • Used generalized additive models and Bayesian approaches to model responses to successional age and season.
  • Conducted detrended correspondence analysis to examine spatial autocorrelation of seed rain composition.
  • Community-level seed rain abundance decreased as succession progressed.
  • Overall seed species richness increased, particularly among autochthonous species.
  • Allochthonous seed rain values peaked in the dry season, showing seasonal variation rather than age-related changes.
  • Dispersal modes transitioned from anemochory (wind-dispersed) to endozoochory (animal-dispersed) in later succession stages.

Abstract

Abstract Propagule availability limits the successional recovery of tropical dry forest (TDF). Despite high resprouting potential in these regrowing forests, the floristic enrichment of communities with reduced seed banks largely depends on seeds of species absent from the site (i.e. allochthonous component). Successional development of vegetation structure and composition potentially shapes seed rain attributes by modifying attractiveness to dispersers or the dispersal of anemochorous seeds. We examined the successional and seasonal variation in seed rain richness and abundance across two contrasting components (autochthonous vs. allochthonous) and for subsets defined by dispersal mode, growth form, woodiness, and successional guild. Monthly seed rain samples were collected over one year in a successional chronosequence (1–60 years). We used a Bayesian approach to model the responses of seed rain richness and abundance to successional age and season (wet vs. dry) by fitting generalized additive models, and a detrended correspondence analysis to assess the spatial autocorrelation of seed rain composition. Community-level seed rain abundance decreased as succession progressed, while community and autochthonous seed species richness increased. The allochthonous component of the seed rain responded to season, rather than age, with higher values in the dry season, as observed for most plant groups in the seed rain subsets. Dispersal modes shifted from anemochory to endozoochory, and from seeds of non-woody to seeds of woody species in later stages. Seed rain composition exhibited strong spatial autocorrelation. The interplay of succession, seasonality, and landscape context shapes seed rain, with important consequences for species enrichment during TDF regeneration.

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Cite This Study

Cervantes-Jiménez et al. (2026) studied this question.

synapsesocial.com/papers/69e3211640886becb654052ehttps://doi.org/10.1093/jpe/rtag070
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The effectiveness of seed rain in recolonising an ecotonal mesic forest following extreme severity fire2026 · 1 citations
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  4. 4Quantifying seed rain patterns in a remnant and a chronosequence of restored tallgrass prairies in north central Missouri2024 · 1 citations
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