Sentence examples for biotic landscape from inspiring English sources

During centuries indigenous communities have established a strong relationship with their natural environments, and have developed knowledge systems and classificatory frameworks for both biotic and non biotic landscape components.

Common elements were a focus on methodology development rather than answering questions of specific clients, limited attention for model evaluation and impact analysis, and an imbalanced attention for economic and abiotic environmental indicators at the expense of biotic, landscape and social indicators.

The LH index has been applied in the scope of the following concepts: (1) scenic beauty analysis, where LH describes the characteristic of perceived landscape; and (2) the ecological aspect, where LH refers to the mutual relationship between various abiotic and biotic landscape components.

We need to understand the selective (biotic and a biotic) landscapes in which species evolved and continue to evolve.

Although wider corridors were likely to encompass a greater variety of biotic assemblages, landscape and site scale environmental characteristics appeared to be of greater ecological significance.

Furthermore, the multiple and holistic criteria of the BCVI, and the accessible information for both biotic and landscape features can be adapted to prioritise caves in a wider scale in the tropics, and in other regions with diverse cave ecosystems.

Urbanization fundamentally alters the abiotic and biotic components of landscapes, presenting wildlife with serious challenges to which they must respond in order to avoid excess mortality from urban dangers.

Understanding the consequences of past environmental changes on the abiotic and biotic components of the landscape and deciphering their impacts on the demographic trajectories of species is a major issue in evolutionary biogeography.

Organic agriculture showed the best results in all indicator categories: biotic and abiotic impacts, landscape and animal welfare.

One solution is to use SDMs in concert with surrogate variables that reflect spatial turnover or gradients in the distribution of biotic interactions in the landscape.

GDM is a matrix regression technique that predicts biotic dissimilarity across the landscape based on the matrix correlation between biotic dissimilarity and environmental dissimilarity plus geographic distance between sites where the species has been sampled.