We found that increased harvest, in terms of intensity or duration, magnified the evolutionary response of the harvested stock.
The resultant maps of growing stock volume were subtracted from one another across time periods to produce maps showing the location and intensity of harvests in terms of estimated growing stock volume removal.
We present a simple criteria of optimization for horticultural regimes in SPGF: Qmax = max [M · (EBI 2/(V · E · T) ], where M is the crop harvest in terms of total dry biomass in the plant growth system; EBI is the edible biomass index (harvest index), V is volume occupied by the crop; E is the crop light energy supply during growth; T is the crop growth duration.
We considered the primary economic value of shellfish harvest in terms of existing harvest revenue (landed value) and secondary economic value in terms of processing and distribution value and direct impacts from primary and secondary value in terms of labour income and employment.
To increase the effective population size (Ne), the optimal harvesting strategy in terms of maximizing the total yield, is to harvest relatively less isolated and/or smallest populations because these contribute more to the total effective size with a relatively small reduction in the total yield (Tufto and Hindar 2003).
A parametric study reveals the effect of the stopper distance on the energy harvesting performance in terms of both the bandwidth and open circuit voltage output.
The bandgaps in this group are the highest, implying the lowest light harvesting efficiency in terms of spectral coverage.
For example, Schwenk et al. (2012) demonstrated the use of importance weighting within a multi-criteria analysis (MCA) framework to assess the performance of several forest harvest systems in terms of three different ecosystem services: timber production, greenhouse gas mitigation, and biodiversity.
The harvesting process itself, in terms of drilling the 32 mm bone cylinder and preparing the area of interest for evaluation, proved to be reproducible and guaranteed a highly standardized analysis in 243/248 samples.
Levels of harvest were recorded in terms of number of broom bundles in Karnataka and metric tonnes of leaves harvested in Tamil Nadu.
