POLLINATORS POLLINATION AND FOOD PRODUCTION
individual_chapters_pollination_20170305
individual_chapters_pollination_20170305
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THE ASSESSMENT REPORT ON <strong>POLLINATORS</strong>, <strong>POLLINATION</strong> <strong>AND</strong> <strong>FOOD</strong> <strong>PRODUCTION</strong><br />
management (i.e., national; Satake et al., 2008). Finally, the<br />
chosen scale for valuation is different from the characteristic<br />
scale of the processes that affect pollination effectiveness<br />
and product prices (a methodological problem; MEA, 2005).<br />
Scale mismatches can affect the accuracy of valuation<br />
estimates and, more crucially, the distribution of benefits<br />
from management actions.<br />
factors that need to be taken into account when considering<br />
the different temporal scales.<br />
3.2.2 Temporal factors affecting<br />
pollination valuation<br />
230<br />
4. ECONOMIC VALUATION OF POLLINATOR GAINS<br />
<strong>AND</strong> LOSSES<br />
Thus, it is crucial to delimit clear scale categories for<br />
pollination valuation. Many approaches were proposed for<br />
ecological processes and ecosystem services in general<br />
(Turner, 1988; MEA, 2005; Vermaat et al., 2005; Hein et al.,<br />
2006; Feld et al., 2009; Díaz et al., 2011; Serna-Chavez<br />
et al., 2014), but no standard categorization of scales has<br />
been proposed for pollination valuation so far. It makes<br />
sense to work with scale categories that represent the<br />
extension (spatial scale) and duration (temporal scale) of<br />
processes for which the necessary data for valuation can be<br />
collected or compiled. Variables such as crop yield and price<br />
are frequently aggregated in government censuses by farm,<br />
county, politically defined sub-state or sub-national regions,<br />
provinces/states and countries, and conducted monthly<br />
or annually. The proposed scale categories for the present<br />
assessment are defined in Table 4.5.<br />
3.2 Pollinator valuation across the<br />
temporal scale<br />
3.2.1 Rationale<br />
The temporal scale has important strategic implications that<br />
can vary between stakeholders. For example, farmers are<br />
often more interested in longer term average yields (over<br />
several years) than short-term (1 year) maximization of yield,<br />
thus considering longer time scales is essential when linking<br />
valuation to decision-making. Another example is related<br />
to the farmer decision-making in crop choice: farmers can<br />
easily switch between different annual species; however, due<br />
to the time lag between planting and productivity, switching<br />
from annual to perennial species or between perennial<br />
crops involves a major long-term commitment. Farmers’<br />
ability to switch between crops depends also on the level<br />
of investments needed by the managing choices (e.g.,<br />
irrigation costs limit the ability to switch to another crop).<br />
Thus, the temporal scale is important to consider because<br />
the meaning of the economic valuation is fundamentally<br />
scale-dependent as well as the political implications of<br />
management decisions. In indigenous beekeeping, while the<br />
majority of beekeepers take a short-term view to exploiting<br />
their seemingly abundant resources, some innovative groups<br />
and networks of local entrepreneurs have secure long-term<br />
products, processes and market sustainability laying the<br />
foundations for sustainable livelihoods and conservation<br />
(Ingram et al., 2011). In the next sub-section, we present the<br />
3.2.2.1 Price dynamics<br />
Many economic valuation studies estimate pollinators’<br />
contribution to crop production (see Section 7). In several<br />
methods used for evaluating pollination benefits, two main<br />
variables are used: the crop price (Section 2.2 and 2.4.) and<br />
the price of beehives (Section 2.1.2 and 2.3.).<br />
The variability of the crop price across time is driven by<br />
variation in both demand and supply of the crop. However,<br />
these two components of the agricultural market are prone<br />
to change at different intervals, some crops will change<br />
every few years while others will change several times a<br />
year, due to many factors (Drummond and Goodwin, 2014).<br />
Factors influencing demands include the price of substitute<br />
goods of pollinated crops, price of complementary<br />
goods, the consumers’ income, the consumer’s tastes<br />
and preferences for different crop (dependent or not<br />
on pollinators), the expectations of a pollinator decline<br />
and the demography of consumer population. Factors<br />
influencing the supply include the price of inputs, the<br />
price at a preceding period, the substitutes and their<br />
characteristics (e.g., their prices), the technology, the taxes<br />
and subsidies, the expectation about future events and<br />
the number of businesses. The complexity arising from the<br />
interaction of all these factors highlights the difficulties of<br />
predicting future crop market prices, affecting longer-term<br />
valuation estimates.<br />
The price of hiring beehives for pollination is similarly<br />
determined through equilibrium between supply of<br />
beehive from beekeepers and the demand from farmers.<br />
Professional beekeeper 2 will also aim to maximize their<br />
benefits. However, this benefit depends on the two main<br />
goods or services that this activity contributes to produce:<br />
pollination service and honey. Thus, Rucker et al. (2012)<br />
and Muth et al. (2003) demonstrated the competition<br />
between pollination service and honey market; when the<br />
price of honey was high, beekeepers preferred to produce<br />
more honey and abandoned the pollination service. The<br />
consequences for the crops market are measurable,<br />
because the decrease of the supply of pollination<br />
service has a negative impact on the yield of crops and,<br />
consequently, the price of crops will increase. Therefore, the<br />
evolution of the beehive price is also highly dependent on<br />
other markets, making predictions similarly difficult.<br />
2. Hobby beekeepers are not considered in detail here because of the<br />
limited available literature on the subject.