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opportunity approach. As for the merits and (implicit) assumptions behind the two
types of access metrics, the reader is referred to Ekkel and de Vries (2017).
8.2.6 Actual Versus Perceived Biodiversity
Information on the level of biodiversity, in terms of species diversity, is not always
readily available. Sometimes data are gathered on perceived biodiversity, as for
example in terms of how survey respondents rate the species richness of a specific
site, or the number of species present in their residential environment. It is not clear
to what extent perceived biodiversity coincides with actual biodiversity, not even if
the latter is defined in terms of species richness (see e.g. Fuller et al. 2007 and
Dallimer et al. 2012 for contradictory findings).5 Perceived biodiversity is likely to
depend strongly on the visibility of the different species, and on the extent to which
they are perceived as being different. For example, biodiversity in the aquatic
domain may go largely unnoticed (with the exception of aquaria). The same may be
the case for the variety in the insect world, and even more so for that of micro-
organisms. On the other hand, the biodiversity as perceived may be more likely to
influence mental health than the objectively defined actual biodiversity (Dallimer
et al. 2012). To the extent that the two do not coincide, different things are
measured.
Furthermore, there is the methodological issue of a potential single-source bias
when both biodiversity and mental health information are provided by the same
source. Actually, when people rate the level of biodiversity of the same area, and
subsequently how this is associated with their mental health is analysed, it is solely
the co-variation of individual differences in perception and those in mental health
that is studied, and not that of the actual level of biodiversity, which in that case is
the same for everyone. A potential solution for the single-source problem is not
using perceptions at the individual level, but aggregating the ratings regarding the
same object to an average score for that object. A more sophisticated method of
aggregating individual level data to characterise an environment is the ecometric
approach introduced by Raudenbush and Sampson (1999). In this approach, the
number of informants sampled, as well as the intersubjective agreement among
informants, is statistically taken into account. This ecometric approach does not
seem to have been applied for perceived biodiversity specifically thus far (but see de
Jong et al. 2011).
5 Fuller et al. (2007) provide an example of a study in which objectively assessed and perceived
species richness for three categories of species/taxonomic groups are compared. It may be pointed
out that they selected rather easy to perceive species: plants, birds and butterflies. Moreover, they
aggregated individual perceptions per site. This may have helped them to arrive at the conclusion
that greenspace users can more or less accurately perceive species richness. Even so, Dallimer
et al. (2012), using the same approach, did not observe a positive association between perceived
and actual species richness for any of the three taxonomic groups. See Marselle et
al. Chap. 9, this
volume.
8 Biodiversity in the Context of
‘Biodiversity – Mental Health’ Research
Biodiversity and Health in the Face of Climate Change
- Titel
- Biodiversity and Health in the Face of Climate Change
- Autoren
- Melissa Marselle
- Jutta Stadler
- Horst Korn
- Katherine Irvine
- Aletta Bonn
- Verlag
- Springer Open
- Datum
- 2019
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-030-02318-8
- Abmessungen
- 15.5 x 24.0 cm
- Seiten
- 508
- Schlagwörter
- Environment, Environmental health, Applied ecology, Climate change, Biodiversity, Public health, Regional planning, Urban planning
- Kategorien
- Naturwissenschaften Umwelt und Klima