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Landscapes Forest and Global Change - ESA - Escola Superior ...

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J.L. Hernández-Stefanoni et al. 2010. Effects of l<strong>and</strong>scape structure <strong>and</strong> st<strong>and</strong> age on species richness <strong>and</strong> biomass<br />

644<br />

Multiple regression results indicated statistically significant relationships between<br />

species density <strong>and</strong> st<strong>and</strong> age, PD, ED, SHAPE_AM <strong>and</strong> TECI (Table 1). Relationships<br />

involving PD <strong>and</strong> SHAPE_AM were consistently negative, indicating that plant diversity<br />

decreases as the number of patches increases <strong>and</strong> as the shape of a patch type becomes more<br />

irregular. On the other h<strong>and</strong>, biomass was best explained by st<strong>and</strong> age, PROX_AM, ENN_AM<br />

<strong>and</strong> TECI (Table 1). Biomass in all groups consistently responded negatively to ENN_AM <strong>and</strong><br />

TECI <strong>and</strong> positively to PROX_AM, indicating that biomass decreases with distance between<br />

patch types of the same vegetation or as the perimeter of the focal patch type increases its<br />

contrast with other patches types. For all groups of plants, st<strong>and</strong> age was positively associated to<br />

species density <strong>and</strong> biomass, except for juvenile biomass (Table 1).<br />

Table 1: Regression st<strong>and</strong>ardized coefficients for predicting species density <strong>and</strong> biomass from st<strong>and</strong> age<br />

<strong>and</strong> patch type metrics<br />

DEPENDENT PREDICTOR ALL WOODY ADULT JUVENILE<br />

VARIABLE VARIABLE PLANTS PLANTS PLANTS<br />

Biomass (R 2 = 0.68) (R 2 = 0.68) (R 2 = 0.16)<br />

AGE 0.725* 0.734* -0.316*<br />

PD<br />

ED<br />

SHAPE_AM -0.181*<br />

PROX_AM 0.110* 0.110* 0.107***<br />

ENN_AM -0.095** -0.096**<br />

TECI -0.080** -0.081**<br />

Species density (R 2 = 0.26) (R 2 = 0.44) (R 2 = 0.09)<br />

AGE 0.444* 0.634* 0.254*<br />

PD -0.218** -0.128***<br />

ED 0.322* 0.248** 0.190**<br />

SHAPE_AM -0.363* -0.349* -0.260*<br />

PROX_AM<br />

ENN_AM<br />

TECI -0.175**<br />

Variables included in the model with * p

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