Sentence examples for climate change variables from inspiring English sources

Mineral stresses are likely to have important, complex, and poorly understood interactions with global climate change variables.

Prominent climate change variables that may impact macro-nutrient use efficiency (NUE) include elevated CO2 (eCO2) and altered temperature and moisture regimes.

This chapter reviews current knowledge regarding the influence of these climate change variables on: (1) soil biology, physics, and chemistry and how climate change-driven modifications in soil influences macronutrient availability and mobility in the root zone and (2) plant root and shoot form and function and root shoot interrelationships.

The researchers tweaked four climate change variables: increasing temperatures, changes in global vegetation, the dimming of the sun due to hazier skies, and higher concentrations of carbon dioxide in the atmosphere.

However, neither recent climate change variables (TMAX, PDSI) nor atmospheric CO2 had affected aspen height growth at the scale of the entire province.

Nonetheless, very few studies have considered the interactive effects of climate change variables on MPB communities [ 11].

To effectively mitigate climate change, variable renewable electricity (VRE) is expected to substitute a great share of current fossil-fired electricity generation.

For the database, observations were selected that (1) demonstrate a statistically significant trend in change in either direction in systems related to temperature or other climate change variable as described by the authors; and (2) contain data for at least 20 years between 1970 and 2004 (although study periods may extend earlier or later).

The observations that were selected include data that demonstrate a statistically significant trend in change in either direction in systems related to temperature or other climate change variable, and the is for at least 20 years between 1970 and 2004, although study periods may extend earlier or later.

The proposed modeling approach is applied to states (Arizona, California, Colorado, Nevada, New Mexico, and Utah) in the southwestern U.S., where conditional forecasts of climate-change variables are evaluated against recent (2012) observations, evaluated at a future time period (2030), and evaluated as future trends (2009 2059).

Zahran, Brody, Grover, and Vedlitz (2006, p. 779) used two climate change "knowledge" variables.