Interception of rainfall in successional tropical dry forests in Brazil and Costa Rica
Summary
A research paper analyzing rainfall interception across different successional stages of tropical dry forests in Brazil and Costa Rica, finding that net rainfall trends vary significantly between the two studied regions.
Key insights
- In Mata Seca State Park (MSSP) in Brazil, net rainfall ranged from 79.3% to 85.4% of gross rainfall across all plots, showing no specific trend related to forest succession. This lack of trend is attributed to the high density of lianas present in the intermediate and late stage plots.
- In Santa Rosa National Park (SRNP) in Costa Rica, net rainfall showed a clear downward trend as forest succession progressed, with values of 87.5% for early stages, 73.0% for intermediate stages, and 63.4% for late stages. In this location, net rainfall correlated negatively with the plant area index (r = &minus0.755, p < 0.05).
Cite the original document
- 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} }
Full text
Collected · Record updated