Low-diversity ecosystems cover large portions of the Earth’s land surface, yet studies of climate change on ecosystem functioning typically focus on temperate ecosystems, where diversity is high and the effects of individual species on ecosystem functioning are difficult to determine. We show that a climate-induced decline of an invertebrate species in a low-diversity ecosystem could contribute...

Earth’s storm tracks are instrumental for transporting heat, momentum, and moisture and thus strongly influence the surface climate. Climate models, supported by a growing body of observational data, have demonstrated that storm tracks shift poleward as the climate warms. But the dynamical mechanisms responsible for this shift remain unclear. To isolate what portion of the storm track shift may...

in addition to attention to natural light as a renewable, costless and environment-friendly source of energy in the late 20th century, numerous studies have been conducted into the effect of natural light on human being’s soul and body and all such studies reiterate the undeniable role of natural lighting on people’s behavior, attitudes, and efficiency. however, in spite of the awareness of the...

Metabolic rate, a physiological trait closely related to fitness traits, is expected to evolve in response to two main environmental variables: (1) climate, low metabolic rates being found in dry and hot regions when comparing populations originating from different climates in a common garden experiment and (2) resource limitations, low metabolic rates being selected when resources are limited....

Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy-wide model of Bangladesh, we estimate and decompose damages from historical climate variability and future anthropogenic climate change. Our stochastic simulation approach avoids biases caused by non-linear damage functions and fixed occurrences of extreme events in historical data...

The objective of this research was to determine the best model and compare performances in terms of producing landuse maps from six supervised classification algorithms. As a result, different algorithms such as the minimum distance ofmean (MDM), Mahalanobis distance (MD), maximum likelihood (ML), artificial neural network (ANN), spectral anglemapper (SAM), and support vector machine (SVM) were...

    Climate, as the average temperature or precipitation over a long period of time, is constantly fluctuating and changing. There is a complex relationship between climate change and human biological and cultural reactions (Weeks and Petrie, 2018). Increased dry conditions in the subtropics is one of the consequences of climate change that has been predicted by various models. While using th...

This study performs a systematic analysis of the recent and future changes dry spells (DS) in Croatia. DS are defined as consecutive sequences days with daily precipitation less than 5 mm precipitation-per-day threshold (DS5). Daily data come from dense national rain gauge network (covering seven regions) span period 1961–2015. The spatial temporal observed mean (MDS5) maximum (MxDS5) seasonal ...