The main results have been published in Ecological Indicators.
Follow the link to the article here
Background
to the detection problem
The
identification of spawning sites is a significant issue for management. It is
usually attempted by direct observations of adult fish during spawning events,
or searches of riparian vegetation for eggs. However, both of these approaches
have conceptual and practical weaknesses.
As an indicator of spawning habitat,
observations of adult fish suffer from poor precision unless spawning was
actually observed. Adult īnanga spend several
days shoaling in pre-spawning aggregations and devote considerable energy to
searching riparian vegetation prior to selecting a spawning site (Benzie, 1968). There may be a large
general location in which the same aggregation could be observed prior to
spawning that is relatively imprecise compared to the habitat actually used. In
comparison direct searches for eggs provide indisputable evidence that spawning
has occurred. However, egg mortality between the date of spawning and the field
survey may reduce the effectiveness of this approach. Recent research has found
that spawning may occur irrespective of whether the habitat is favourable for
egg survival (Hickford & Schiel, 2011).
How artificial habitats can help
Our appraoch of using artificial habitats as a detection tool takes advantage of previous research showing that the artificial habitats support very high egg survival rates (Hickford & Schiel, 2013). This reduces the effect of egg mortality on discoverability of spawning sites that is particularly likely at degraded sites. This may result in undetected spawning sites and/or under-estimation of the areas they originally occupied.
In a practical sense it also means that timing is less critical for field survey logistics. For example, it can assist a small team in surveying a large study area whilst also addressing the confounding factor of egg mortality which can result in uneven detection probability over time across the study area. In other words, areas surveyed first have a greater chance that eggs would be discovered compared to those surveyed after several days have elapsed. Using the Christchurch post-earthquake studies as an example, this effect can be considerable. These studies required 8-9 days of survey effort by a team of 3 researchers to cover the study site area (Orchard & Hickford, 2016).
Following this method, artificial habitats are used in conjunction with census-style surveys of riparian vegetation with the objective of detecting and quantifying all of the spawning sites in the study area (Orchard & Hickford, 2018)
In a practical sense it also means that timing is less critical for field survey logistics. For example, it can assist a small team in surveying a large study area whilst also addressing the confounding factor of egg mortality which can result in uneven detection probability over time across the study area. In other words, areas surveyed first have a greater chance that eggs would be discovered compared to those surveyed after several days have elapsed. Using the Christchurch post-earthquake studies as an example, this effect can be considerable. These studies required 8-9 days of survey effort by a team of 3 researchers to cover the study site area (Orchard & Hickford, 2016).
Following this method, artificial habitats are used in conjunction with census-style surveys of riparian vegetation with the objective of detecting and quantifying all of the spawning sites in the study area (Orchard & Hickford, 2018)
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References
Benzie, V. (1968). Some ecological aspects of the spawning
behaviour and early development of the common whitebait Galaxias maculatus attenuatus (Jenyns). Proceedings of the New Zealand Ecological Society, 15, 31-39.
Hickford,
M. J. H., & Schiel, D. R. (2011). Population sinks resulting from degraded
habitats of an obligate life-history pathway. Oecologia, 166(1), 131-140.
Hickford,
M. J. H., & Schiel, D. R. (2013). Artificial spawning habitats improve egg
production of a declining diadromous fish, Galaxias
maculatus (Jenyns, 1842). Restoration
Ecology, 21(6), 686-694.
Orchard,
S., & Hickford, M. (2016). Spatial
effects of the Canterbury earthquakes on īnanga spawning habitat and
implications for waterways management. Report prepared for IPENZ Rivers
Group and Ngāi Tahu Research Centre. Waterways Centre for Freshwater Management
and Marine Ecology Research Group. Christchurch: University of Canterbury.
37pp.
Orchard,
S., & Hickford, M. J. H. (2018). Census survey approach to quantifying
īnanga spawning habitat for conservation and management. New Zealand Journal of Marine and Freshwater Research, 52(2), 284-294.