Resource Library Search

Type any text into the search box. Narrow your search using the dropdown boxes or the filters in the sidebar. If there are no results, try using fewer filters or broder dropdown options. 

Promoting Biodiversity: Advances in Evaluating Native Species for Reforestation

background

This article describes the design of a long-term species screening trial conducted at La Selva Biological Station in Costa Rica.

Research Goals & Methods

Growth and survivability data is presented for 84 species (17 popular exotics used for timber and 67 little-known local species with timber potential) at 3 years of age.

Available with subscription or purchase

Early Species Selection for Tropical Reforestation: A Consideration of Stability

background

This study describes a screening of timber species planted in abandoned pasture sites to understand the effect of different site conditions on tree growth and to determine the species that grew with the highest variation.

Available with subscription or purchase

Early Growth of Native and Exotic Trees Planted on Degraded Tropical Pasture

background

This study describes the potential of two exotic and five native tree species to restore degraded land in Costa Rica.

Research Goals & Methods

Thirty blocks were established over 25 hectares of abandoned cattle pasture and tree height was measured at 3 and 7 years and tree survival was measured after 7 years.

Available with subscription or purchase

Coffee Agroforestry Systems in Central America: I. A Review of Quantitative Information on Physiological and Ecological Processes

Background

Open access copy available

Coffee Agroforestry Systems in Central America: II. Development of a Simple Process-Based Model and Preliminary Results

Background

Available with subscription or purchase

A Review of the Agroforestry Systems of Costa Rica

Background

This literature review provides a historical overview of agroforestry systems in Costa Rica from the 1970s to the present.

Available with subscription or purchase