Sentence examples for occupation length from inspiring English sources

We compared occupation length of Daphnia populations (number of years a pool has been inhabited) with the pool-specific predicted lengths of droughts and the predicted number of desiccation events.

We used a linear model to compare model predictions with the actual measurements, a non-linear least square fits for relating the predicted time a pool was dry with its volume and generalized linear models for the occupation length analyses.

The occupation length of Daphnia populations showed a significantly negative correlation to the pool's average number of predicted desiccation events per summer (generalized linear model, Z = −6.3, p<0.0001, Fig. 6).

Based on other studies [13], [28], [29], we hypothesized that the occupation length of Daphnia populations would be negatively influenced by the frequency of desiccation events and positively affected by hydroperiod lengths.

Other characteristics included assessors' gender, occupation, length of working relationship with assessees, educational background and year of graduation.

Predisposing characteristics include gender, marital status, educational level, occupation, length of time in the community and health beliefs.

Occupation lengths were shorter in pools with short hydroperiods and frequent desiccation events.

They occurred in pools with very different desiccation patterns, although occupation lengths decreased as desiccation risk rose.

We correlated pool-specific occupation lengths of the three species with pool-specific measures of desiccation risk.

Occupation lengths of all three Daphnia species were positively correlated with maximum hydroperiod length and negatively correlated with the number of desiccation events.

Interestingly, we found no differences between the desiccation risk of rock pools and the occupation lengths of the three different species.