How climate and human activity shape a mountain ecosystem
A detailed biological assessment of Africa’s highest
mountain explores how climate modulates the effects of human land use
on plants, animals, microorganisms and a diverse array of ecosystem
functions.
Mountains support roughly one-third of all land-dwelling species and supply water for nearly half of all people1. The ecology of mountain environments is strongly influenced by climate2–4.
For example, because temperatures drop as altitude increases, organisms
that have greater cold tolerance are favoured at higher elevations.
Accordingly, there is a rapid change in the species present as one moves
up a mountain from the warm lowlands to the cold highlands. And because
few organisms can withstand the most-extreme conditions, the total
number of species tends to be low on mountaintops.
Climate change is now rearranging the pieces of this puzzle5,6, and ecologists are struggling to predict the picture that will emerge7,8.
One major source of uncertainty is the extent to which the effects of
human land use (activities such as farming and logging) might interact
with climatic factors to shape the distribution of species and the
operation of biogeochemical processes. Writing in Nature, Peters et al.9
report their analysis of an astonishingly comprehensive ecological data
set from Mount Kilimanjaro (Fig. 1), which shows that temperature and
rainfall modulate the effects of human land use on biodiversity and
ecosystems.
Figure 1 | A field of maize (corn) in the shadow of Mount Kilimanjaro, Tanzania. Peters et al.9
report a study of sites at different elevations on Mount Kilimanjaro in
which they investigated how climate regulates the effects of human land
use (such as maize farming) on ecosystems. Credit: Cheryl-Samantha Owen/NPL
A previous study10
from the same research group revealed that the number of plant and
animal species declines at an almost linear rate as elevation increases
on Mount Kilimanjaro, suggesting that temperature is the main
determinant of species richness. Peters et al. have expanded the
scope and scale of that earlier assessment. Their new study reports data
gathered over 6 years by 50 researchers at 60 sites ranging from 866 to
4,550 metres above sea level. These sites represented both natural
habitats, such as lowland savannahs and alpine heaths, and habitats that
had been heavily affected by human activity, including cropland and
logged forests. The authors noted the number of species of plants,
animals and soil-dwelling bacteria at each study site. They also
recorded data for 30 different ecosystem functions, which are processes
related to the transfer of energy and matter through the system (for
example, the rates at which plants grow, organic matter decomposes and
greenhouse gases are emitted).
To convert human impacts into a common currency for use in statistical analyses, Peters et al.
devised a quantitative metric of land-use intensity, which integrated
information about several types of human disturbance. To assess climate,
they monitored the average annual temperature and rainfall at each
site. Researchers studying large-scale ecological phenomena are often
forced to gather previously published data from disparate sources and
stitch this information together for analysis, which can introduce
biases and artefacts. By instead measuring a wide range of attributes in
many places using standardized methods, Peters and colleagues were able
to paint one of the most detailed ecological portraits achieved thus
far for any mountain.
Peters et al. report that the
combined effects of climate and human land use manifested in a
consistent way for both plants and animals. Species richness hardly
differed between natural and human-altered habitats at high elevations,
but species richness was reduced in the low-elevation habitats that had
been transformed by human activity. These trends were best described by
statistical models that included interactions between climate and
land-use intensity — in other words, the effects of land use were
dependent on climate, and the interplay of both these factors was
necessary to explain the patterns observed in the data.
The
trends in ecosystem functions in relation to climate and human activity
are harder to decipher. All but five of the functions studied were
affected by land-use intensity, and in most cases the effects of land
use depended on climate. But these interactions exhibited all manner of
forms, defying attempts to identify a general pattern. A clearer picture
emerged when Peters and colleagues amalgamated all 30 of the ecosystem
functions into a composite statistical index: overall, ecosystem
functioning was more heavily affected at sites with greater land-use
intensities, and these effects were stronger at low and high elevations
than at intermediate elevations.
Ecologists yearn for simple
rules to describe how ecosystems respond to environmental gradients and
to perturbations arising from human activity. Yet analysing such complex
systems, with their multitude of interwoven parts, requires a level of
statistical abstraction that makes it difficult to discover the
fundamental mechanisms underlying the patterns in the data. Peters and
colleagues have unveiled a rich tapestry of ecological patterns on Mount
Kilimanjaro, but explaining why those patterns are shaped by climate
and land use in the ways that they are stands as a non-trivial challenge
for future investigation.
As with any large-scale comparative
analysis, one must also consider potential alternative explanations for
the results. For example, on Mount Kilimanjaro, areas higher than 1,800
metres above sea level are part of a national park, and this designation
places constraints on human land use. Indeed, Peters and colleagues
found that land-use intensity was greatest at low elevations (and
therefore positively correlated with temperature) across the mountain,
which is typical for mountains worldwide11.
These correlations make it difficult to fully disentangle the roles of
climate and land use. Is it possible that human impacts were greatest at
low elevations simply because human activity was much higher outside
the national park?
To address this question, the authors carried
out more analyses on different subsets of their data, which reinforced
their original conclusions. Nevertheless, further work will be needed to
establish the degree to which variation in human impacts at different
elevations is governed by biophysical mechanisms, as opposed to
reflecting trends in human behaviour that stem from both climatic and
legal restrictions on land use.
As mountain environments heat up
in a warming world, what can be done to safeguard their great biological
wealth? Neither climate change nor human pressure on mountains will
stop any time soon, but areas can be protected from intensive land use,
and that can make a difference. Peters and colleagues’ results indicate
that such protection would need to span a range of elevations, from the
low-lying sites that are currently most vulnerable to human impacts to
the highland areas that will provide future homes for refugee species
moving upslope. Nearly 40% of all mountain ranges lack any strictly
protected nature reserves, and vanishingly few have conservation areas
that span the entirety of their elevation12. There is an urgent need to expand the world’s protected areas to achieve better coverage of elevation gradients13.
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