The effect of climate change on migratory birds.
Climate patterns throughout the world are changing rapidly, as evidenced by increases in average global temperature and in the annual variability of weather conditions. The impacts of these changes on animal populations are not well understood. However, they can be assessed through long-term demographic studies that take advantage of temporal and spatial variability in weather across environmental gradients.
In this project, we have extended our long-term studies of birds in New England forests in ways that allow us to identify and assess how weather, and ultimately, climate, in combination with biotic factors, affects the spatial distribution, abundance, and demography of bird species that breed in temperate forests.
In 2002, we began to examine these processes (
Figure 1) through demographic studies of one focal species, the Black-throated Blue Warbler (Dendroica caerulescens), and extensively by quantifying annual shifts in the spatial distribution and abundance of this focal and other bird species at a landscape scale—that of the 3160 hectare (1 hectare = 100 meters by 100 meters) Hubbard Brook Experimental Forest in the White Mountains, New Hampshire.
The 600 meter altitudinal gradient at this site provides the breadth of environmental conditions needed to compare the effects of within- and between-year differences in local weather conditions and biotic factors (e.g., food supply, nest predator abundances) on bird population dynamics and reproductive performance.
Weather can influence bird populations directly or indirectly (Figure 1).
Extreme direct effects of weather include large-scale mortality of adults as a result of catastrophic conditions and of eggs and young due to exposure, starvation or structural failure of nests.
For migratory songbirds, mortality of adults due to the direct effects of weather is rare during the breeding season, and instead occurs mostly during migration or as a result of poor wintering conditions. Even so, such non-breeding season mortality can influence the size and age-structure of the breeding population in subsequent summers.
Weather can affect bird demography indirectly in a number of ways. For example, it can influence:
These indirect effects of weather all potentially influence bird breeding success and seasonal fecundity, which in turn influences subsequent recruitment and potentially population size. Yet, the relative importance of weather/climate and biotic variables in determining seasonal fecundity has rarely been examined.
One way to determine the importance of weather and other factors is to examine avian demography along an environmental gradient where weather conditions vary in a predictable way. It is well known that bird species vary in their distributions and abundances over environmental gradients reflecting their responses to climate and associated vegetational changes along those gradients.
Altitudinal gradients in particular are useful, because many aspects of avian environments that potentially influence breeding productivity vary with altitude, including temperature, precipitation, windiness, seasonality, vegetation composition, and physiognomy, as well as arthropod species composition, richness, and abundance. Yet, few studies of birds have examined the demographic consequences of such variation.
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In this on-going investigation, we are testing hypotheses concerning the effects of abiotic conditions (e.g., weather) and biotic factors (e.g., population density, food, predators) on bird populations distributed across the 600 m environmental (altitudinal) gradient within the Hubbard Brook Experimental Forest.
The research in progress will help to elucidate ecological mechanisms generating changes in bird distribution, abundance, and seasonal fecundity across an environmental gradient, and thus will contribute to an understanding of how weather in combination with biotic factors influences forest birds. Such information is key to assessing the potential local effects of climate change on bird populations, and ultimately to predicting how these populations and the biological communities of which they are a part will respond in the future to climate-caused environmental change.