Ecological and methodological drivers of species’ distribution and phenology responses to climate change
0106 biological sciences
Aquatic Organisms
RANGE SHIFTS
range edge
Biodiversity & Conservation
05 Environmental Sciences
Population Dynamics
2306 Global and Planetary Change
SEASON
Publication bias
global warming
01 natural sciences
Population ecology
ECOSYSTEMS
FoR 06 (Biological Sciences)
MARINE LIFE
Ecology
Global warming
range shift
Biological sciences
marine ecosystem
OCEAN-WARMING HOTSPOT
2304 Environmental Chemistry
Range edge
Biodiversity Conservation
Seasons
FoR 05 (Environmental Sciences)
Life Sciences & Biomedicine
IMPACTS
570
2300 Environmental Science
Time series
Climate Change
Environmental Sciences & Ecology
COD
333
tropics
Range shift
SYSTEMS
Marine ecosystem
14. Life underwater
fishing
580
publication bias
Science & Technology
Tropics
VELOCITY
06 Biological Sciences
Models, Theoretical
15. Life on land
Environmental sciences
meta-analysis
Meta-analysis
13. Climate action
Fishing
Season
time series
2303 Ecology
season
Environmental Sciences
DOI:
10.1111/gcb.13184
Publication Date:
2015-12-10T15:26:50Z
AUTHORS (11)
ABSTRACT
AbstractClimate change is shifting species’ distribution and phenology. Ecological traits, such as mobility or reproductive mode, explain variation in observed rates of shift for some taxa. However, estimates of relationships between traits and climate responses could be influenced by how responses are measured. We compiled a global data set of 651 published marine species’ responses to climate change, from 47 papers on distribution shifts and 32 papers on phenology change. We assessed the relative importance of two classes of predictors of the rate of change, ecological traits of the responding taxa and methodological approaches for quantifying biological responses. Methodological differences explained 22% of the variation in range shifts, more than the 7.8% of the variation explained by ecological traits. For phenology change, methodological approaches accounted for 4% of the variation in measurements, whereas 8% of the variation was explained by ecological traits. Our ability to predict responses from traits was hindered by poor representation of species from the tropics, where temperature isotherms are moving most rapidly. Thus, the mean rate of distribution change may be underestimated by this and other global syntheses. Our analyses indicate that methodological approaches should be explicitly considered when designing, analysing and comparing results among studies. To improve climate impact studies, we recommend that (1) reanalyses of existing time series state how the existing data sets may limit the inferences about possible climate responses; (2) qualitative comparisons of species’ responses across different studies be limited to studies with similar methodological approaches; (3) meta‐analyses of climate responses include methodological attributes as covariates; and (4) that new time series be designed to include the detection of early warnings of change or ecologically relevant change. Greater consideration of methodological attributes will improve the accuracy of analyses that seek to quantify the role of climate change in species’ distribution and phenology changes.
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