TY - JOUR
T1 - Response to Delhey et al
AU - Tian, Li
AU - Benton, Michael J
N1 - Copyright © 2020 Elsevier Inc. All rights reserved.
PY - 2020/12/7
Y1 - 2020/12/7
N2 - Predicting how organisms will respond to future climate change is a challenging task for biologists. In general, there are three ways to make such biotic predictions. First, by manipulating climatic conditions, such as temperature, humidity, etc. in laboratory experiments, it is possible to observe how adaptation or extinction occurs. Second, historical data can be synthesised using a meta-analysis to test for any relationship between biotic changes and climatic warming since the industrial revolution. Lastly, theoretical trends in biotic change can be associated with observed spatial variation (where, for example, climatic gradients result in spatial variations equivalent to climate changes).
AB - Predicting how organisms will respond to future climate change is a challenging task for biologists. In general, there are three ways to make such biotic predictions. First, by manipulating climatic conditions, such as temperature, humidity, etc. in laboratory experiments, it is possible to observe how adaptation or extinction occurs. Second, historical data can be synthesised using a meta-analysis to test for any relationship between biotic changes and climatic warming since the industrial revolution. Lastly, theoretical trends in biotic change can be associated with observed spatial variation (where, for example, climatic gradients result in spatial variations equivalent to climate changes).
U2 - 10.1016/j.cub.2020.10.073
DO - 10.1016/j.cub.2020.10.073
M3 - Article (Academic Journal)
C2 - 33290702
VL - 30
SP - R1408
JO - Current Biology
JF - Current Biology
SN - 0960-9822
IS - 23
ER -