Within the emerging domain of entrepreneurial leadership research, gender issues have been largely ignored. This study aims to examine the nexus between entrepreneurial leader identity, entrepreneurial passion, and growth intention. This is done within the stacked context of being a woman entrepreneur, and in rural, regional and remote (RRR) Australia. This unique study draws upon a cross-sectional survey of 99 women entrepreneurs, employing a partial least square structural equation model. The study has found a positive relationship between entrepreneurial leader identity on the one hand and growth intention and passion on the other but could not find any conclusive evidence of a relationship between entrepreneurial passion and venture growth intention. The study opens new research avenues into the novel construct of entrepreneurial leader identity and helps to better understand the dynamics of RRR women entrepreneurship in the Australian context.

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Volume, biomass and carbon of forest ecosystem are generally estimated using lookup tables or allometric equations known as models. These general equation-based models are usually exclusively based on dimensional measurement such as diameter at breast height (DBH) and/or height, which sometimes makes it difficult to judge applicability of equation to given forest condition or types. It is therefore important to estimate carbon stock and develop models to predict biomass or carbon stock with stratification by categorical variables like crown cover, slope, forest types, etc. Stratification of forest by remote sensing approach while designing forest inventory not only improves the reliability of the estimation but also reduces the cost of measurement. Taking crown coverage (<25%, 25-50%,

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