@article{fdi:010070386,
  title = {{T}he analysis of convergence in ecological indicators : an application to the {M}editerranean fisheries},
  author = {{P}ennino, {M}. {G}. and {B}ellido, {J}. {M}. and {C}onesa, {D}. and {C}oll, {M}arta and {T}ortosa-{A}usina, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{E}cological indicators are increasingly used to examine the evolution of natural ecosystems and the impacts of human activities. {A}ssessing their trends to develop comparative analyses is essential. {W}e introduce the analysis of convergence, a novel approach to evaluate the dynamic and trends of ecological indicators and predict their behavior in the long-term. {S}pecifically, we use a non-parametric estimation of {G}aussian kernel density functions and transition probability matrix integrated in the {R} software. {W}e validate the performance of our methodology through a practical application to three different ecological indicators to study whether {M}editerranean countries converge towards similar fisheries practices. {W}e focus on how distributions evolve over time for the {M}arine {T}rophic {I}ndex, the {F}ishing in {B}alance {I}ndex and the {E}xpansion {F}actor during 1950-2010. {R}esults show that {M}editerranean countries persist in their fishery behaviors throughout the time series, although a tendency towards similar negative effects on the ecosystem is apparent in the long-term. {T}his methodology can be easily reproduced with different indicators and/or ecosystems in order to analyze ecosystem dynamics.},
  keywords = {{C}onvergence analysis ; {N}on-parametric density estimation ; {T}ransition probability matrix ; {E}cological indicators ; {E}cosystem approach to fisheries management ; {M}editerranean sea ; {MEDITERRANEE}},
  booktitle = {},
  journal = {{E}cological {I}ndicators},
  volume = {78},
  numero = {},
  pages = {449--457},
  ISSN = {1470-160{X}},
  year = {2017},
  DOI = {10.1016/j.ecolind.2017.03.041},
  URL = {https://www.documentation.ird.fr/hor/fdi:010070386},
}