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e-journal

Fundamental population–productivity relationships can be modified through density-dependent feedbacks of life-history evolution

Anna Kuparinen [et al.] - Nama Orang;

The evolution of life histories over contemporary time scales will almost certainly affect population demography. One important pathway for such eco-evolutionary interactions is the density-dependent regulation of population dynamics. Here, we investigate how fisheries-induced evolution (FIE) might alter densitydependent population–productivity relationships. To this end, we simulate the eco-evolutionary dynamics of an Atlantic cod (Gadus morhua) population under fishing, followed by a period of recovery in the absence of fishing. FIE is associated with increases in juvenile production, the ratio of juveniles to mature population biomass, and the ratio of the mature population biomass relative to the total population biomass. In contrast, net reproductive rate (R0) and per capita population growth rate (r) decline concomitantly with evolution. Our findings suggest that FIE can substantially modify the fundamental population–productivity relationships that underlie density-dependent population regulation and that form the primary population-dynamical basis for fisheries stock-assessment projections. From a conservation and fisheries-rebuilding perspective, we find that FIE reduces R0 and r, the two fundamental correlates of population recovery ability and inversely extinction probability.

Keywords Atlantic cod, fisheries-induced evolution,overfishing, per capita population growth rate, recovery, recruitment.


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Informasi Detail
Judul Seri
Evolutionary Applications
No. Panggil
-
Penerbit
: The Authors., 2014
Deskripsi Fisik
Evolutionary Applications 7 (2014) 1218–1225
Bahasa
English
ISBN/ISSN
doi:10.1111/eva.1221
Klasifikasi
-
Tipe Isi
-
Tipe Media
-
Tipe Pembawa
-
Edisi
-
Subjek
Agriculture
Info Detail Spesifik
-
Pernyataan Tanggungjawab
Wati/Agus
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  • FULL TEXT:Fundamental population–productivity relationships can be modified through density-dependent feedbacks of life-history evolution
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