Back

Critique of the scientific basis for currently proposed protection options for Hectors and Maui dolphins

Slooten, E.; Dawson, S. M.

2020-05-17 ecology
10.1101/2020.05.15.098889 bioRxiv
Show abstract

New Zealands Ministry for Primary Industries (MPI) developed a risk analysis for Hectors and Maui dolphins, in order to inform protection options being considered by the Ministers of Fisheries and Conservation. Unfortunately, MPIs risk analysis combines several estimates that are biased, and the biases consistently act together to underestimate the level of bycatch and overestimate the species ability to sustain impacts. In essence, the approach uses abundance estimates that are likely biased high, multiplies them by a reproductive rate that has been arbitrarily raised, multiplied by an assumed figure for calf survival, to reach a number of dolphins that would be added each year if the population were to remain stable. From this number, they subtract their estimates of bycatch, which are almost certainly biased low. The remaining number of dolphins is apportioned a cause of death according to autopsy data from 55 Hectors and Maui dolphins found dead on beaches. This is then compared to estimates of what level of takes would be sustainable, calculated using a formula that is not well understood and less conservative than the international standard (PBR, developed by the US National Marine Fisheries Service). This is a poor basis for rational management of an endangered, endemic marine mammal. A key problem with the MPI approach is that its definition of "risk" does not relate to the risk of population decline or extinction, and is inconsistent with the modern understanding of the behaviour of meta-populations. The approach defines risk as the likelihood of capture, which is apportioned to different areas according to fishing effort and the habitat models outputs for dolphin distribution. The protection options are therefore targeted where high densities of dolphins and high fishing effort coincide. Large populations are allocated the highest level of protection, while small populations remain poorly protected. This approach is likely to increase the risk of local extinctions, contractions of dolphin distribution, population fragmentation, loss of genetic variability and result in increased risk to the species as a whole. Many of these points were made by an International Expert Panel in 2018. MPI have failed to provide a list of recommendations from the Expert Panel Report with their responses (if any) to those recommendations. This standard step in scientific practice, following peer review (e.g. response to reviewers comments) has not been followed.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Canadian Journal of Fisheries and Aquatic Sciences
18 papers in training set
Top 0.1%
21.4%
2
Aquatic Conservation: Marine and Freshwater Ecosystems
12 papers in training set
Top 0.1%
10.7%
3
PLOS ONE
5266 papers in training set
Top 25%
6.6%
4
ICES Journal of Marine Science
11 papers in training set
Top 0.1%
6.1%
5
Biological Conservation
46 papers in training set
Top 0.2%
5.3%
50% of probability mass above
6
Conservation Letters
14 papers in training set
Top 0.1%
4.7%
7
Frontiers in Marine Science
62 papers in training set
Top 0.3%
4.2%
8
FACETS
14 papers in training set
Top 0.1%
3.9%
9
Frontiers in Ecology and Evolution
69 papers in training set
Top 0.6%
2.7%
10
PeerJ
308 papers in training set
Top 3%
2.7%
11
Ecology and Evolution
267 papers in training set
Top 3%
2.6%
12
Peer Community Journal
281 papers in training set
Top 2%
2.4%
13
Ecosphere
57 papers in training set
Top 0.5%
2.4%
14
Conservation Science and Practice
15 papers in training set
Top 0.2%
2.3%
15
Royal Society Open Science
214 papers in training set
Top 3%
1.9%
16
Conservation Biology
17 papers in training set
Top 0.2%
1.7%
17
Marine Ecology Progress Series
21 papers in training set
Top 0.3%
1.7%
18
Ecological Informatics
33 papers in training set
Top 0.5%
1.5%
19
Journal of Applied Ecology
39 papers in training set
Top 0.8%
1.5%
20
Global Ecology and Conservation
25 papers in training set
Top 0.7%
1.1%
21
Population Ecology
10 papers in training set
Top 0.2%
1.0%
22
Biological Invasions
14 papers in training set
Top 0.5%
0.9%
23
Ecological Applications
34 papers in training set
Top 0.9%
0.8%
24
Global Change Biology
78 papers in training set
Top 2%
0.8%
25
Animal Conservation
13 papers in training set
Top 0.4%
0.6%