Fundación BBVA. Marie Curie Actions. (PCIG14-GA-2013-631653). PI: Ignasi Bartomeus. 2014-2018.
Summary:
As of the year 2000, 40% of Earth’s ice-free land area is
being directly used by humans, and an additional 37% is surrounded by
human-modified areas. Land-use change, along with other human-induced
global change drivers, is accelerating the rates of extinction of most
taxa. Researchers are beginning to experimentally investigate how these
changes in biodiversity affect ecosystem services, such as water
purification, climate regulation, and food production, but do not yet
understand the effects of species loss in real ecosystems. Pollination
is a critical ecosystem service and relies upon multiple species of
pollinators. This project aims to understand the threats to the
pollinator species that provide this critical ecosystem function and
assess the consequences of their decline in real ecosystems. Research
about the functional consequences of biodiversity is dominated by
small-scale experimental studies. These experiments have manipulated
diversity by assembling random subsets of species drawn from a common
pool of taxa. This approach is useful for understanding the theoretical
consequences of diversity loss but is unrealistic in the sense that it
assumes species can go extinct in any sequence over time. Extinction,
however, is generally a nonrandom process with risk determined by life-
history traits such as rarity, body size, and sensitivity to
environmental stressors. The importance of biodiversity loss on the
production and stability of ecosystem services will depend, then, on
which bee species are lost, and which species are well- adapted to
anthropogenic habitats. I investigated this relationship by developing a
framework that goes beyond aggregate biodiversity measures and takes
into account trait functional diversity, species-specific responses, and
community structure. So far, using replicated data on three crops along
Northeast USA I found that pollinator species traits do not predict
either response to agricultural intensification or functional
contribution, but that a few dominant species are responsible for most
of the ecosystem services delivered. Hence, studying this species may be
the most efficient way to make sound predictions. I expanded these ideas
in a global synthesis including more than 40 different crops around the
globe to show that these dominant species depend on the crop studied,
and hence a diversity of pollinators is needed for securing food
production. Moreover, I already collected two years of data for
measuring pollination stability in natural systems in southern Spain and
I plan to collect two more years in order to answer longer term
stability questions. This data will allow me to validate some of the
trends observed in larger-scale analysis and infer more direct
mechanisms on how pollinators respond to global change drivers and its
implications for the ecosystem functioning.