The latent structure of landscape perception: A mean and covariance structure modeling approach

Mean and covariance structure (MACS) modeling is used to explore a central question in contemporary environmental psychology: “How should human environments be conceptualized?”. Specifically, an expanded version of the preference model of landscape perception proposed by S. and R. Kaplan is presented. The proposed model not only constitutes a respecification and deepening of the Kaplans’ model but also presents an integrative perspective that simultaneously considers the interrelations among cognitive, motivational, affective, evaluative, and behavioral tendencies in landscape perception. In a series of four studies, we develop and validate multi-item measures of various constructs, test the measure invariances, and the structural model. The findings reveal the crucial role of various constructs that originally were hypothesized by the Kaplans but never included in the model tests. In addition, positive and negative feelings induced by the landscape emerge as antecedents to landscape perception. The implications of these findings are discussed.     

Thermo-mechanical Characterization of New Natural Cellulose Fiber from Zmioculus Zamiifolia

Journal of Polymers and the Environment - The environmental impact on pollution has attracted the use of natural cellulose fibers as a replacement for synthetic materials due its ecofriendly nature...     

Occupational health hazards and wide spectrum of genetic damage by the organic solvent fumes at the workplace: A critical appraisal

Environmental Science and Pollution Research - Long-term exposure to organic solvents is known to affect human health posing serious occupational hazards. Organic solvents are genotoxic, and they...     

Assessing site suitability potential for soil and water conservation structures by using modified micro-watershed prioritization method: geomorphometric and geomatic approach

Environment, Development and Sustainability - Efficiency of soil water conservation (SWC) structure depends on its precise locations as well as its success in reducing surface runoff, soil erosion...