Dr. Kevin S. McKelvey
Dr. Michael K. Schwartz
Dr. Leonard F. Ruggiero
USDA Forest Service, Rocky Mountain Research Station
800 East Beckwith, Missoula MT 59801
August 20, 2002
Summary
Connectivity is often
very important for maintaining wildlife populations. Without connectivity,
small, isolated populations are driven toward local extinction by many factors;
for example reproduction may be lower and mortality higher due to the negative
effects of inbreeding. Furthermore, the entire population is much more prone
to chance events such as fires or droughts. In isolation, small populations
will not persist. Connectivity between populations allows several small
populations to function as a group. Together they behave more like a single
large population, and many of the deleterious small population effects are
mitigated. Dispersers from one population can settle in other populations
augmenting the numbers, bringing new genes, and potentially colonizing habitat
islands where the species has been extirpated. Thus, both the total numbers
and the range of an organism are increased through connectivity. In fragmented
landscapes some level of connectivity is often essential for the persistence
of many species.
Increasing connectivity,
however, is not a conservation panacea. The same passageways that allow
a target species to recolonize a habitat island may also allow exotic pests
to invade, or may act as a conduit for parasites and diseases. Increased
connectivity must therefore be carefully planned, both to make sure that
the needs of the target organisms are met, and to minimize potential negative
consequences.
The importance of connectivity
Connectivity has been
touted by many as critical to the conservation of wildlife populations.
Here we present some of the arguments behind the promotion of connectivity
between sub-populations, while also noting circumstances when it may hinder
conservation efforts. The importance of connectivity is directly related
to the size of sub-populations on isolated habitat islands. When the sub-populations
are very small everything is working against their abilities to persist
without help from other islands. This help comes in the form of organisms
that travel from one island to the next. In population biology, these travelers
are called dispersers. The interaction between habitat islands has the effect
of reversing many of the negative effects associated with a small, isolated
population.
Reversing loss through
dispersal
In many species, the
young disperse widely. On a small habitat island, most of the dispersing
young are forced to leave the island. Whether they die or simply wander
off and find habitat elsewhere, these young are lost, as far as the island
is concerned. For the population on the island to be stable, other young
need to arrive from other islands to make up for those that are locally
lost. As long as this occurs, a group of islands can form a stable metapopulation,
but any single island population in isolation will diminish in size and
the organisms will become locally extinct. So one role of connectivity is,
through population augmentation, to allow a population to persist in an
area where lacking connectivity, it would not.
Reversing chance extinctions
Even with good connectivity,
there are many factors that can cause the local extinction of a sub-population.
One is simple chance. For instance, consider a small mammal that lives 1
year and each female produces 2 young each year. If there are a lot of these
organisms, the population will be stable. If there are, say, 3 breeders,
there is a 3% chance that the young of the year will be all male or all
female (assuming equal likelihood of a male or female). If this happens,
the population will go extinct. However, the effects of chance don’t
need to cause extinction in a single year. If only 1 female were born, then
only 2 young would be born the next year, and the probability of 2 males
or 2 females (and therefore extinction) is 50% for the following year. This
process is called demographic stochasticity and mostly affects very small
populations.
There are, however,
other problems that affect the whole population, and these are probably
more likely to lead to extinction. One, termed environmental stochasticity,
refers to the fact that some years are “good”, in that survival
and/or reproduction is high, and some are “bad”. Populations
should go up in numbers during good years, but on small islands, most of
the organisms produced in good years will be excess, and will be lost to
dispersal. However, there is nothing to prevent the population from declining
during bad years. Both good years and bad years tend to come in clumps.
Clumps are produced by pure random chance (if you flip a coin it won’t
come up HTHTHT, but rather will come up with runs of heads and tails), or
are the consequences of weather. We are currently (2002) in a drought cycle.
If drought causes a “bad” year, then next year is likely to
be bad. A series of bad years in a row can either drive a small population
extinct, or can reduce it to very low numbers where demographic stochasticity
finishes the job of driving the population to extinction.
Lastly, there is catastrophe,
a sudden extreme event causes local extinction. Large fires can be catastrophic
for many species. Clearly, the smaller the habitat island, the more likely
it is that a catastrophe will envelop the entire island, and cause local
population extinction.
Because of all of these
factors, the expectation is that small populations will naturally become
locally extinct from time to time. If this happens, and there is no colonization
from other islands, the number of occupied islands will gradually decrease,
and eventually the entire metapopulation will go extinct. Levins (1969,
1970) found that the critical factors in the maintenance of a metapopulation
were rates of local extinction and colonization. Importantly, he found that
for most of the islands to be occupied, rates of colonization needed to
vastly exceed rates extinction. For the most of the habitat islands in a
metapopulation to occupied, there needs to be a lot of colonization, and
therefore metapopulations only work if there is a lot of connectivity.
Reversing the effects
of inbreeding
There are genetic consequences
associated with small, isolated populations as well. These negative effects
arise from the inability of individuals in a population to avoid breeding
with relatives. Whereas in a large population individuals can readily avoid
inbreeding, in a small population this is inevitable. The offspring of inbred
individuals often have lower levels of genetic variability than offspring
of non-inbred pairs. This difference in genetic variation has been correlated
with fitness in a variety of animals and plants. For example, it has been
shown that lower levels of genetic diversity leads to declines in larvae
survival, egg hatching rate, and adult longevity of a fritillary butterflies
in Finland (Saccheri et al. 1998). Another example is the positive association
between genetic variation and germination and survival rates in Clarkia
pulchella, a Rocky Mountain plant (Newman and Pilson 1997).
As if it were not bad
enough, small, isolated populations also have a second genetic problem called
genetic drift. Genetic drift is similar to demographic stochasticity defined
above. By definition drift is the random changes in the frequencies of gene
types within a population. For example, imagine a wolf population where
a single gene determined coat color and there is no benefit to having one
coat color over another. If the gene is in one “state” the animal
is black, and if the gene is in another state the animal is gray. If there
are 1000 wolves in the population and half are black and half are gray,
we would predict that next generation we would see nearly 500 black and
500 gray wolves. We would not be surprised to see 530 black and 470 gray,
nor would we be surprised to see 490 black and 510 gray. However, it would
be a near impossibility to randomly have 1000 black and 0 gray wolves in
the next generation, or vice-versa. This same principal holds for a population
of 10 wolves; only this time despite expecting 5 black and 5 gray wolves
we may also expect by chance that all 10 individuals could be black or gray.
Drift, however, does not have to occur in one generation. It can ratchet
forward such that one year there are 5 gray, 5 black; the next there are
7 gray, 3 black; the next there are 9 gray, 1 black, the next there are
8 gray, 2 black, and the next there are 10 gray and 0 black. At this point
where there are zero wolves with black fur, the black fur gene is now extinct
in the population, and the population has lost genetic variability. Losses
in genetic variability reduce the ability of a species to adapt to changing
environments, and therefore increase the risk of extinction.
Both inbreeding and
genetic drift are countered by movement between populations, and therefore
by the presence of connectivity. In fact, it has been suggested that once
connectivity is restored it takes relatively little exchange between populations
to maintain genetic diversity. One rule of thumb has been the “one
migrant per generation” rule, which states that one genetic migrant
moving and breeding in another population each generation will prevent the
loss of rare genetic material. This rule-of-thumb has recently been empirically
validated through inbreeding experiments with Rocky Mountain mustard plants
(Brassica campestris). Plant populations that received a migrant had higher
fitness than those that didn’t receive a migrant, but also importantly
plant populations that received more migrants didn’t have higher fitness
than those that received only one migrant (Newman and Tallmon 2001).
The role of habitat
quality in metapopulation stability
Connectivity and habitat
quality are both important to produce stable metapopulations. In a metapopulation
increasing the habitat quality in the habitat islands, will generally lead
to larger and more robust populations, and more immigrants and colonizers
to help stablize the system. Increasing connectivity will allow these colonizers
to reach other islands more reliably and thereby keep most of the islands
occupied. Similarly, a metapopulation can be destabilized by either declines
in habitat quality or connectivity. Activities that simultaneously decrease
habitat quality and connectivity are particularly destructive.
Potential negative consequences
of increased connectivity
Are there any circumstances
where connectivity is undesirable? In fact there are. First, connectivity
can allow disease or parasite transmission into a population that may have
been disease-free. Second, connectivity, while facilitating movement of
a target organism, may also allow exotic or other competitors to enter a
habitat as well. Third, some species may have adapted to isolation, and
could suffer negative effects from the introduction of distantly related
genetic material (a phenomenon called outbreeding depression). For these
reasons, attempts to increase landscape connectivity should be carefully
considered and well planned. However, for most species, connectivity is
desirable and has aided in the maintenance of healthy wildlife populations.
Conclusions
So, for what species
does landscape level connectivity really matter? It matters most for organisms
with extremely large home ranges relative to the habitat patch sizes, and
relatively low birth rates. Wolverine are a good example. They appear to
be present in most of the mountain islands in western Montana and northern
Idaho, however, with non-overlapping female home ranges of about 300 km2,
only about 30 wolverine can fit into every 1,000,000 ha of habitat. This
means that, in most cases individual management areas have few animals,
and are therefore critically dependent on dispersal, which in turn is critically
dependent on connectivity. However, scientifically understanding how much
connectivity is necessary, and what imposes a barrier to connectivity are
difficult questions, especially for rare, elusive animals. Our current research
unit focuses on employing new methods such as DNA and satellite technology
to answer these connectivity questions.
Literature Cited
Levins R. 1969. The
effects of random variation of different types on population growth. Proc.
National Acad. Sci. 62:1061 1065
Levins R. 1970. Extinction.
Lectures on Mathematics in the Life Sciences 2:75 107
Newman, D., and D. Pilson.
1997. Increased probability of extinction due to decreased genetic effective
population size, experimental populations of Clarkia pulchella. Evolution
51:354-362.
Newman, D., and D. A.
Tallmon. 2001. Experimental evidence for beneficial fitness effects of gene
flow in recently isolated populations. Conservation Biology 15:1054-1063.
Saccheri, I., M. Kuussaari,
M. Kankare, P. Vikman, W. Fortelius, and I. Hanski. 1998. Inbreeding and
extinction in a butterfly metapopulation. Nature 392:491-494.