TY - JOUR
T1 - Decreasing fractal dimensions as a strategy for oceanic wildlife conservation
T2 - Application to species with large migration patterns
AU - Flores, J. C.
N1 - Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2018/9/24
Y1 - 2018/9/24
N2 - Wildlife dispersion patterns are responses of populations confronting variable environmental conditions. Additionally, industry depredation in oceans develops spatial patterns to optimize wildlife capture. Soft scaling conditions between protected and exploited marine zones define operative fractional dimensions for industry and wildlife. When reduction of the fractional dimension of industry ship trajectories is suitably established, the chances for wildlife to survive are increased. Accordingly, a protection strategy is proposed focusing on trajectory patterns rather than uniform areas. As a specific case, narwhals (Monodon monoceros) in the Arctic are considered. This approach best suits species with large-scale migratory patterns. Parameters are evaluated using current oceanic data.
AB - Wildlife dispersion patterns are responses of populations confronting variable environmental conditions. Additionally, industry depredation in oceans develops spatial patterns to optimize wildlife capture. Soft scaling conditions between protected and exploited marine zones define operative fractional dimensions for industry and wildlife. When reduction of the fractional dimension of industry ship trajectories is suitably established, the chances for wildlife to survive are increased. Accordingly, a protection strategy is proposed focusing on trajectory patterns rather than uniform areas. As a specific case, narwhals (Monodon monoceros) in the Arctic are considered. This approach best suits species with large-scale migratory patterns. Parameters are evaluated using current oceanic data.
KW - Factory-ship trajectories
KW - Fractional dimension
KW - Nonlinear systems
KW - Power-law scaling
KW - Wildlife protection
UR - https://www.scopus.com/pages/publications/85048318508
U2 - 10.1016/j.ecolmodel.2018.06.001
DO - 10.1016/j.ecolmodel.2018.06.001
M3 - Article
AN - SCOPUS:85048318508
SN - 0304-3800
VL - 384
SP - 30
EP - 33
JO - Ecological Modelling
JF - Ecological Modelling
ER -