The phrase 'climate dependency' is correct and usable in written English.
You could use it to describe how a species may be dependent on certain climates for survival. For example, "Many species of arctic animals are heavily reliant on cold climates for their survival, making them highly climate dependent."
We related canopy attributes to environmental predictors to test for climate dependencies of tropical canopies and additional impacts of anthropogenic pressure on climate – canopy structure relationships.
We use these measurements to test for climate dependencies within and across continents, and to test for the potential of anthropogenic disturbance and forest protection to modulate those dependences.
We use measures of passive (landscape topography) and active (forests within protected areas) protection, in combination with measures of human population pressure to test whether anthropogenic disturbance has already modulated climate dependencies of tropical forest canopies.
We use high resolution climate data (Fick and Hijmans 2017) to identify the climate-dependencies of canopy structure variables within and across continents, paying particular attention to annual and seasonal long-term averages in water availability.
In a semi-arid to arid climate context, dependency on groundwater resources may lead to overexploitation and deterioration of water quality.
The indicators selected to capture the vulnerability of the island to climate change are dependency ratio; occurrence of natural hazards (floods) and coping methods; income of the household; and livelihood diversification.
Given the challenges related to climate change and dependency from fossil fuels, modification of the energy systems infrastructure to increase the share of renewable energy is a priority in urban energy planning.
A low level of awareness about climate change/drought increases dependency on government policy and thus influences community perception about the effectiveness of policy implementation at the local level.
Cities in the West and Northeast enjoy the lowest average costs, while metro areas in the Rust Belt down through the South can expect to pay the most.The analysis largely reflects three factors: electrical power source, climate, and auto-dependency.
We analysed climate and disturbance dependencies of tropical forest canopies distinguishing between protected and unprotected plots (Protection).
