Interception of rainfall in successional tropical dry forests in Brazil and Costa Rica

The study analyzed rainfall interception in early, intermediate, and late successional stages of tropical dry forests in Costa Rica and Brazil. In Brazil's Mata Seca State Park, net rainfall remained relatively stable between 79.3% and 85.4% across stages, influenced by high liana density. In Costa Rica's Santa Rosa National Park, net rainfall decreased significantly as succession progressed, from 87.5% in early stages to 63.4% in late stages, correlating negatively with the plant area index.

• In Mata Seca State Park (MSSP), Brazil, net rainfall ranged from 79.3% to 85.4% of gross rainfall across all plots, showing no trend related to forest succession because of the high density of lianas in intermediate and late stage plots.
• In Santa Rosa National Park (SRNP), Costa Rica, net rainfall showed a clear downward trend as forest succession progressed, moving from 87.5% in the early stage to 73.0% in the intermediate stage and 63.4% in the late stage.
• Net rainfall in Santa Rosa National Park (SRNP) was negatively correlated with the plant area index (r = -0.755, p < 0.05).

APA

Inter-American Institute for Global Change Research (2025). Interception of rainfall in successional tropical dry forests in Brazil and Costa Rica. https://iai.int/es/pub_acad/interception-of-rainfall-in-successional-tropical-dry-forests-in-brazil-and-costa-rica/

Chicago

Inter-American Institute for Global Change Research. Interception of rainfall in successional tropical dry forests in Brazil and Costa Rica. 2025. https://iai.int/es/pub_acad/interception-of-rainfall-in-successional-tropical-dry-forests-in-brazil-and-costa-rica/.

Wikipedia

{{cite report |author=Inter-American Institute for Global Change Research |title=Interception of rainfall in successional tropical dry forests in Brazil and Costa Rica |date=12 January 2025 |url=https://iai.int/es/pub_acad/interception-of-rainfall-in-successional-tropical-dry-forests-in-brazil-and-costa-rica/ |access-date=17 August 2026 |via=Climate Insights Directory}}

BibTeX

@techreport{interamericaninstituteforglobalchangeresearch2025interception, author = {{Inter-American Institute for Global Change Research}}, title = {{Interception of rainfall in successional tropical dry forests in Brazil and Costa Rica}}, institution = {Inter-American Institute for Global Change Research}, year = {2025}, month = jan, url = {https://iai.int/es/pub_acad/interception-of-rainfall-in-successional-tropical-dry-forests-in-brazil-and-costa-rica/}, urldate = {2026-08-17}, note = {Indexed by Climate Insights Directory} }