Main
Climate change alters every biome and affects nearly every species1-4, especially migratory species5-9. Species with shorter migration distances are
better able to predict the onset of spring at their breeding sites than
species with longer migration distances do 10.
Therefore, short-distance migrants appear to respond to changes in
temperature, mid-distance migrants respond particularly to holistic
climate drift, while long-distance migrants respond to climate change
with a long time lag or even tend to not change over time11. The spring migration of long-distance migrants
relies on endogenous rhythms that respond to climate change with a long
time lag or is not affected by climate change 12, and
then the populations and the food for provisioning nestling peaks are
mismatched 13-17. In contrast, along with the onset of
spring advancement, as part of the environmental stress is released, the
breeding success of short-distance migrants could be enhanced8. Therefore, short-distance migrant populations have
increased in response to climate change, while long-distance migrant
populations have declined 18. However, would
short-distance migrants always benefit from climate change?
Climate change not only involves increases in global average temperature
and shifts in average precipitation but also leads to increases in the
frequency and intensity of extreme weather and climate variability19-21. Individuals adjust their phenology along with
environmental variables (such as photoperiod, temperature, rainfall and
development of vegetation) due to their ectothermic physiology or use
environmental variables that are predictive of the ‘optimal time window’16,22. Species differ in the relative importance of
the different variables that affect their phenology and in the ways they
respond to them 16. As climate change has not led to
uniform climate drift (such as temperature increase), even two species
that rely on the same environmental variables have different phenology
drifts 23,24. Moreover, the phenology of different
annual cycle stages within the same species differs in response to the
same climate change 5. Then, would the mismatch
between different phenologies within the same species driven by a
disordered climate be a path to threaten species?
Here, we proposed that a short-distance migratory species could be
threatened by a disordered climate according to a
phenology mismatch within the same
species. To test this hypothesis, we focused on a short-distance
anadromous fish (Gymnocypris przewalskii ) to research whether and
how a disordered climate impacts the breeding of this species. We
monitored two phenology indicators, spring migration (arrival dates) and
gonadal development (Ⅳ+), and two population dynamics indicators,
migrating population size and larval flux. Following the framework of
environmental drivers of variation and flexibility in fish migration7,25, we monitored two environmental indicators: air
temperature (indirectly indicating river water temperature) and river
discharge. Furthermore, we analyzed the variation in spring migration,
gonadal development, migrating population size, larval flux, air
temperature and river discharge to verify our hypothesis. Moreover, we
discussed the potential risk of the short-distance migrant fitness
consequences due to disordered climate.
In 2020, we noted that the migration time of G. przewalskii was
delayed by nearly 10 days (Table 1) and that the migrating population ofG. przewalskii declined by 30–70% in the three main inflowing
rivers: the Buha River (nearly 30%), Quanji River (nearly 60%) and
Shaliu River (nearly 70%). Subsequently, the larval flux of G.
przewalskii that migrated into Qinghai Lake declined by nearly 80%
(Table 1).
Considering that the starting time of G. przewalskii migration
into the inflowing rivers was mainly in May and June (Table 1), we
compared the discharge records of the three main inflowing rivers (Buha
River, Quanji River, Shaliu River) in April, May and June from 2018 to
2020. The results showed that there was no obvious discharge signal
difference between 2020 and 2018 or 2019 that could match the delay ofG. przewalskii migration in 2020 (Figure 1). In other words, we
inferred that river discharge was not the factor that disturbed G.
przewalskii migration in 2020.
Considering that the starting time of G. przewalskii migration
into the inflowing rivers was mainly in May and June (Table 1) and that
there was a time lag between river water temperature and air
temperature, we compared the air temperature records from Gangcha in
March, April and May from 2011 to 2020. The results showed that the
daily maximum temperatures in April were obviously lower in 2020 than in
other years, and there was no obvious difference in March and May
between 2020 and other years (Figure 2). In other words, there was a
delay of warming in April 2020. Considering the time lag between river
water temperature and air temperature, the delay of warming in April
2020 caused the delay of the river water temperature signal inducingG. przewalskii migration and then caused the delay of G.
przewalskii migration in 2020.
We analyzed records on the gonadal development stage of each G.
przewalskii individual captured in Qinghai Lake near the estuary from
2018 to 2020. The ratio of gonadal development (IV+) of the G.
przewalskii population in each survey was calculated. The results
showed that 19.35% of G. przewalskii individuals captured in
Qinghai Lake near the Buha River estuary in the survey on 5 June 2020
were identified as postspawning. Compared with 2018 and 2019, there was
no obvious delay in the gonadal development of G. przewalskii ,
and the percentage of individuals with gonadal development (IV+) was no
obvious decline (Figure 3). Compared with the migration time delay,
there was a phenology mismatch between the migration rhythm and gonadal
development rhythm.
Phenology, the seasonal timing of life-cycle events, exists during which
environmental conditions are most advantageous, i.e., an ‘optimal time
window’ 16. Many species shift their phenology in
response to global climate change but often do not shift at the same
rate 26. In particular, for migratory species,
short-distance migrants are more sensitive to climate change than
long-distance migrants 11. Therefore, under climate
change, short-distance migrants have a higher fitness than long-distance
migrants, and then populations increase 18. However,
climate change involves both the long-term change in temperature and
precipitation as well as short-term disturbances in weather and climate19-21, which could lead to a mismatch between
different phenologies within the same species 5. We
proposed that short-distance migrants may be impacted by phenology
mismatches within species that are driven by disordered climates and do
not always benefit from climate change. In the present work, we showed
that driven by the abnormally low (daily maximum) air temperature in
April, the migration time of G. przewalskii (a short-distance
anadromous fish) was delayed by nearly 10 days, which led to the
phenology mismatch between migration and spawning; then, the migrating
population declined by 30–70%, and the larval flux declined by nearly
80%. This case indicates that a disordered climate could cause a
phenology mismatch within a short-distance migrant and then threaten the
species.
It is clear that in response to climate change, different species shift
their phenology at different rates, which causes mismatches between the
phenology of interacting species and then leads to a series of
evolutionary and population consequences 16,24,27. In
response to climate change, the phenology of different annual cycle
stages within the same species also shift at different rates5. Different phenologies respond to climate change
with different sensitivities. Sensitive phenology always drifts with
short-term environmental indicators, such as temperature. Stabilized
phenology always drifts with long-term climate indicators, such as the
effective accumulated temperature. If the two phenologies of a species
shift at different rates along with different environmental indicators,
there would be a phenology mismatch. In the present work, the gonadal
development rhythm of G. przewalskii responded to climate change
with low sensitivity, and the migration rhythm of G. przewalskiiresponded to climate change with high sensitivity. From 1979 to 2016, in
Qinghai Lake, the freeze start date and freeze completion date were
pushed back by 6.16 days and 2.27 days, respectively, while the ablation
start date and ablation completion date advanced by 11.24 days and 14.09
days, respectively 28. The average annual air
temperature on the plateau increased by 0.319 °C/10 y during 1987-2016,
whereas the value was 0.415 °C/10 y from 2005-2016 29.
We infer that the gonadal development rhythm of G. przewalskiihas advanced gradually in past decades, although there may be a time
lag. Based on the survey results on the gonadal development of G.
przewalskii in 2018, 2019 and 2020 (Figure 3) and considering the
historical records from the 1970s to 1990s that G. przewalskiimigrates to inflowing rivers to spawn from April to July30, we identify that the breeding time window opens in
April. In contrast, driven by the abnormally low (daily maximum) air
temperature (indirectly indicating river water temperature) in April
2020, the migration rhythm of G. przewalskii was delayed by
nearly 10 days. The mismatch between the migration window and the
breeding time window caused part of the G. przewalskii breeding
group to spawn outside the traditional spawning habitats in 2020. Then,
the breeding population that migrated into the traditional spawning
habitats and the larval flux that migrated from the spawning habitats
into Qinghai Lake seriously declined.
With climate change leading to an increasingly disordered climate19-21, short-distance migratory species need more
attention and conservation actions. As a disordered climate could
severely impact sensitive phenology and stabilized phenology responds to
climate change with a time lag, the mismatch between sensitive phenology
and stabilized phenology within the same short-distance migrants would
impact their breeding success, although phenotypic plasticity could
provide the potential for organisms to respond rapidly and effectively
to environmental change 7,31. In our survey conducted
on 5 June 2020, 19.35% of G. przewalskii individuals captured in
Qinghai Lake near the Buha River estuary were identified as postspawning
when the G. przewalskii breeding group had not migrated into the
traditional spawning habitats. In other words, some fish spawned in the
estuary or adjacent bay. Perhaps spawning in these other areas is a
possible way for G. przewalskii to adapt to climate change.
However, whether the breeding is successful and whether there are enough
healthy larvae and juveniles in the new nonriver spawning sites need to
be investigated because this determines the population dynamics ofG. przewalskii . Disturbed by extreme events and then spawning at
a substitute site, the attempt almost failed in the story of Chinese
sturgeon 32. Therefore, we need more attention and
conservation actions for G. przewalskii and other short-distance
migrants and hope there could be positive outcomes.
Perhaps different taxa (such as mammals, birds and fish) of migrants
have different responses to climate change. We believe that the
processes by which climate change impacts migrants are general. In the
present work, we identified that a disordered climate could sensitively
disturb the migration of short-distance migrants, while gonadal
development and breeding rhythms were stabilized. The phenology mismatch
led to the decline of breeding populations in traditional spawning
locations and the decline of newborn offspring. For fish, spawning
adults and embryos are the most critical life stages and are very
sensitive to temperature 33. Therefore, the abnormal
cold April delayed the migration of G. przewalskii in 2020 and
then caused a series of serious consequences. Other taxa (such as
mammals and birds) also have critical bottlenecks in their life cycle. A
corresponding disordered climate (or environmental) variability could
also lead to a series of serious consequences. Migrants may adapt to
gradual climatic shifts through phenotypic plasticity and even
evolutionary adaptability 9,31. However, abnormal and
abrupt climate change would be dangerous.
In summary, using a case study on a short-distance anadromous fish, we
verified that a disordered climate could disturb the sensitive phenology
of short-distance migrants but did not impact their stabilized
phenology, which causes phenology mismatch within the same species and
then threatens the species. Whether migrants could adapt to this
abnormal and abrupt climate change is unknown. Following increasingly
extreme weather and climate variability, we need more attention and
conservation actions for short-distance migrants.