Multinomial logistic models of land use/land cover in montane Costa Rica an
d landscape pattern analysis showed that relative to agriculture, secondary
forest occurred closer to old-growth forest, further from roads, in forest
reserves, and at higher elevations. Collinearity between explanatory varia
bles yielded simple multivariate models; proportion of surrounding old grow
th predicted secondary forest most accurately. An old-growth matrix [mean p
atch size (MPS) 24.5 ha], located mainly within protected areas, dominated
elevations greater than 2500 m. A matrix of agriculture (MPS 23.5 ha), with
smaller patches (approximately 9 ha) of secondary forest and old growth, d
ominated elevations from 1500 to 2500 m. Combining secondary forest with ol
d growth decreased forest parch number and increased MPS from 7.3 to 37.1 h
a. I concluded that: (a) secondary forest pattern is nonrandom, so ancillar
y data will aid its mapping with satellite imagery. The variables elevation
, agriculture distance, road distance, and population density distinguished
secondary forest from old growth with 74% accuracy; (b) socioeconomic and
biological forces probably interact to create these secondary forest patter
ns; and (c) the strong association between secondary forest and old growth
supports the concept that tropical forest recovery depends on the landscape
structure of remnant forest.