scholarly journals Modelling habitat persistence and impacts of management on the habitats of an endangered butterfly

2017 ◽  
Vol 10 (3) ◽  
pp. 200-210 ◽  
Author(s):  
Henna Fabritius ◽  
Marissa McBride
Keyword(s):  
Habitat Persistence

Changing windows of opportunity: past and future climate-driven shifts in temporal persistence of kingfish (Seriola lalandi) oceanographic habitat within south-eastern Australian bioregions

2019 ◽  
Vol 70 (1) ◽  
pp. 33 ◽  
Author(s):  
Curtis Champion ◽  
Alistair J. Hobday ◽  
Xuebin Zhang ◽  
Gretta T. Pecl ◽  
Sean R. Tracey
Keyword(s):  
Climate Change ◽  
Climate Adaptation ◽  
Relevant Information ◽  
Future Climate ◽  
Future Climate Change ◽  
South Eastern ◽  
Eastern Australia ◽  
Habitat Persistence ◽  
Temporal Persistence ◽  
Seriola Lalandi

Climate-driven shifts in species distributions are occurring rapidly within marine systems and are predicted to continue under climate change. To effectively adapt, marine resource users require information relevant to their activities at decision-making timescales. We model oceanographic habitat suitability for kingfish (Seriola lalandi) from south-eastern Australia using multiple environmental variables at monthly time steps over the period 1996–2040. Habitat predictions were used to quantify the temporal persistence (months per year) of suitable oceanographic habitat within six coastal bioregions. A decline in temporal habitat persistence is predicted for the northernmost (equatorward) bioregion, whereas increases are predicted for the three southernmost (poleward) bioregions. We suggest that temporal habitat persistence is an important metric for climate change adaptation because it provides fishery-relevant information. Our methods demonstrate how novel metrics relevant to climate adaptation can be derived from predictions of species’ environmental habitats, and are appropriate for the management of fisheries resources and protection of high conservation value species under future climate change.

scholarly journals Assessing the Repeatability of Automated Seafloor Classification Algorithms, with Application in Marine Protected Area Monitoring

2020 ◽  
Vol 12 (10) ◽  
pp. 1572 ◽  
Author(s):  
America Zelada Leon ◽  
Veerle A.I. Huvenne ◽  
Noëlie M.A. Benoist ◽  
Matthew Ferguson ◽  
Brian J. Bett ◽  
...  
Keyword(s):  
Marine Protected Areas ◽  
Marine Protected Area ◽  
Marine Conservation ◽  
Benthic Habitat ◽  
Classification Algorithms ◽  
Seabed Classification ◽  
Seafloor Classification ◽  
Habitat Persistence ◽  
Essential Input ◽  
Area Monitoring

The number and areal extent of marine protected areas worldwide is rapidly increasing as a result of numerous national targets that aim to see up to 30% of their waters protected by 2030. Automated seabed classification algorithms are arising as faster and objective methods to generate benthic habitat maps to monitor these areas. However, no study has yet systematically compared their repeatability. Here we aim to address that problem by comparing the repeatability of maps derived from acoustic datasets collected on consecutive days using three automated seafloor classification algorithms: (1) Random Forest (RF), (2) K–Nearest Neighbour (KNN) and (3) K means (KMEANS). The most robust and repeatable approach is then used to evaluate the change in seafloor habitats between 2012 and 2015 within the Greater Haig Fras Marine Conservation Zone, Celtic Sea, UK. Our results demonstrate that only RF and KNN provide statistically repeatable maps, with 60.3% and 47.2% agreement between consecutive days. Additionally, this study suggests that in low-relief areas, bathymetric derivatives are non-essential input parameters, while backscatter textural features, in particular Grey Level Co-occurrence Matrices, are substantially more effective in the detection of different habitats. Habitat persistence in the test area between 2012 and 2015 was 48.8%, with swapping of habitats driving the changes in 38.2% of the area. Overall, this study highlights the importance of investigating the repeatability of automated seafloor classification methods before they can be fully used in the monitoring of benthic habitats.

scholarly journals Habitat Persistence Underlies Intraspecific Variation in the Dispersal Strategies of Planthoppers

1996 ◽  
Vol 66 (4) ◽  
pp. 389-408 ◽  
Author(s):  
Robert F. Denno ◽  
George K. Roderick ◽  
Merrill A. Peterson ◽  
Andrea F. Huberty ◽  
Hartmut G. Dobel ◽  
...  
Keyword(s):  
Intraspecific Variation ◽  
Habitat Persistence

Density-Related Migration in Planthoppers (Homoptera: Delphacidae): The Role of Habitat Persistence

1991 ◽  
Vol 138 (6) ◽  
pp. 1513-1541 ◽  
Author(s):  
Robert F. Denno ◽  
George K. Roderick ◽  
Karen L. Olmstead ◽  
Hartmut G. Dobel
Keyword(s):  
Habitat Persistence

scholarly journals Habitat stability affects dispersal and the ability to track climate change

2012 ◽  
Vol 8 (4) ◽  
pp. 639-643 ◽  
Author(s):  
Christian Hof ◽  
Martin Brändle ◽  
D. Matthias Dehling ◽  
Mariana Munguía ◽  
Roland Brandl ◽  
...  
Keyword(s):  
Temporal Stability ◽  
Climatic Changes ◽  
Dispersal Ability ◽  
Evolution Of Dispersal ◽  
Species Ranges ◽  
Freshwater Habitats ◽  
Habitat Persistence ◽  
Bioclimatic Envelope Models ◽  
Dispersal Abilities ◽  
Bioclimatic Envelope

Habitat persistence should influence dispersal ability, selecting for stronger dispersal in habitats of lower temporal stability. As standing (lentic) freshwater habitats are on average less persistent over time than running (lotic) habitats, lentic species should show higher dispersal abilities than lotic species. Assuming that climate is an important determinant of species distributions, we hypothesize that lentic species should have distributions that are closer to equilibrium with current climate, and should more rapidly track climatic changes. We tested these hypotheses using datasets from 1988 and 2006 containing all European dragon- and damselfly species. Bioclimatic envelope models showed that lentic species were closer to climatic equilibrium than lotic species. Furthermore, the models over-predicted lotic species ranges more strongly than lentic species ranges, indicating that lentic species track climatic changes more rapidly than lotic species. These results are consistent with the proposed hypothesis that habitat persistence affects the evolution of dispersal.

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