
Antarctic krill habitat suitability modeling based on timing parameters and long-term change analysis: A case study in the Cosmonauts Sea and D’Urville Sea
TAN Yiyang, BAI Yan, LI Teng, ZHENG Xinyu, ZHANG Yinxue, ZHANG Yifan
Journal of Marine Sciences ›› 2024, Vol. 42 ›› Issue (4) : 43-57.
Antarctic krill habitat suitability modeling based on timing parameters and long-term change analysis: A case study in the Cosmonauts Sea and D’Urville Sea
Antarctic krill (Euphausia superba) is a key species sustaining the biodiversity of the Southern Ocean and is a protected and restricted fishing target. In the context of significant impacts of climate change on the ecological environment of the Southern Ocean, it is urgent to understand the spatio-temporal distribution, change trends, and habitat suitability of Antarctic krill. In this study, based on Antarctic krill presence records and time series satellite and reanalysis data, a Maxent model for habitat suitability in the Cosmonauts Sea and the D’Urville Sea were constructed using timing parameters of phytoplankton phenology and sea-ice dynamics, along with related environmental parameters. It was found that timing parameters were more suitable for assessing habitat suitability for Antarctic krill compared to conventional environmental parameters. Using the Maxent model, the data over 20 years on the occurrence time and frequency of Antarctic krill in these two study areas were retrieved, and the mechanisms through the interannual trends of multiple environmental parameters were analyzed. Environmental parameters at the time of krill occurrence showed that the overall chlorophyll a mass concentration in the Cosmonauts Sea was lower than that in the D’Urville Sea, with a shorter ice-free period, lower temperatures, and later krill presence dates primarily composed of larval and young individuals along the coast. From 1997 to 2019, the presence time of krill in the coastal Cosmonauts Sea gradually advanced, and the number of presence days increased, mainly due to earlier onset of algal blooms, while increased chlorophyll a mass concentration provided more abundant overwintering food for krill larvae. In the D’Urville Sea, influenced by warming water, shortened ice-free period, and reduced chlorophyll a mass concentration, mature krill may migrate to a more suitable environment, leading to a decline in annual presence frequency. Based on the constructed habitat suitability model, this study showed the long-term distribution of Antarctic krill occurrence in the Cosmonauts Sea and the D’Urville Sea for the first time, which can help to understand the impact of climate change on the ecological environment in the Southern Ocean, and the planning of conservation areas and fishery management in the Southern Ocean.
Antarctic krill (Euphausia superba) / habitat suitability / sea ice concentration / satellite remote sensing / timing parameters / maximum entropy model (Maxent) / Cosmonauts Sea / D’Urville Sea
[1] |
|
[2] |
|
[3] |
Antarctic krill (Euphausia superba) are swarming, oceanic crustaceans, up to two inches long, and best known as prey for whales and penguins - but they have another important role. With their large size, high biomass and daily vertical migrations they transport and transform essential nutrients, stimulate primary productivity and influence the carbon sink. Antarctic krill are also fished by the Southern Ocean's largest fishery. Yet how krill fishing impacts nutrient fertilisation and the carbon sink in the Southern Ocean is poorly understood. Our synthesis shows fishery management should consider the influential biogeochemical role of both adult and larval Antarctic krill.
|
[4] |
|
[5] |
|
[6] |
|
[7] |
|
[8] |
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
朱国平. 基于广义可加模型研究时间和环境因子对南极半岛北部南极磷虾渔场的影响[J]. 水产学报, 2012, 36(12):1863-1871.
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
GBIF occurrence download[DS/OL]. (2022-2-09) [2023-2-09]. https://doi.org/10.15468/dl.28z24e
|
[27] |
CCAMLR. Precautionary catch limitation on Euphausia superba in Statistical Division 58.4.2[Z/OL]. [2023-2-09]. https://cm.ccamlr.org/en/measure-51-03-2008
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
[38] |
|
[39] |
|
[40] |
|
[41] |
|
[42] |
|
[43] |
|
[44] |
|
[45] |
Oxygen loss in the ocean, termed deoxygenation, is a major consequence of climate change and is exacerbated by other aspects of global change. An average global loss of 2% or more has been recorded in the open ocean over the past 50-100 years, but with greater oxygen declines in intermediate waters (100-600 m) of the North Pacific, the East Pacific, tropical waters, and the Southern Ocean. Although ocean warming contributions to oxygen declines through a reduction in oxygen solubility and stratification effects on ventilation are reasonably well understood, it has been a major challenge to identify drivers and modifying factors that explain different regional patterns, especially in the tropical oceans. Changes in respiration, circulation (including upwelling), nutrient inputs, and possibly methane release contribute to oxygen loss, often indirectly through stimulation of biological production and biological consumption. Microbes mediate many feedbacks in oxygen minimum zones that can either exacerbate or ameliorate deoxygenation via interacting nitrogen, sulfur, and carbon cycles. The paleo-record reflects drivers of and feedbacks to deoxygenation that have played out through the Phanerozoic on centennial, millennial, and hundred-million-year timescales. Natural oxygen variability has made it difficult to detect the emergence of a climate-forced signal of oxygen loss, but new modeling efforts now project emergence to occur in many areas in 15-25 years. Continued global deoxygenation is projected for the next 100 or more years under most emissions scenarios, but with regional heterogeneity. Notably, even small changes in oxygenation can have significant biological effects. New efforts to systematically observe oxygen changes throughout the open ocean are needed to help address gaps in understanding of ocean deoxygenation patterns and drivers.
|
[46] |
|
[47] |
|
[48] |
|
[49] |
|
[50] |
|
[51] |
|
/
〈 |
|
〉 |