Detail
Article
Online article
FT
Medvik - BMC
  • Something wrong with this record ?

Thermal habitat index of many northwest Atlantic temperate species stays neutral under warming projected for 2030 but changes radically by 2060

NL. Shackell, D. Ricard, C. Stortini,

. 2014 ; 9 (3) : e90662.

Language English Country United States

Document type Journal Article, Research Support, Non-U.S. Gov't

Global scale forecasts of range shifts in response to global warming have provided vital insight into predicted species redistribution. We build on that insight by examining whether local warming will affect habitat on spatiotemporal scales relevant to regional agencies. We used generalized additive models to quantify the realized habitat of 46 temperate/boreal marine species using 41+ years of survey data from 35°N-48°N in the Northwest Atlantic. We then estimated change in a "realized thermal habitat index" under short-term (2030) and long-term (2060) warming scenarios. Under the 2030 scenario, ∼10% of species will lose realized thermal habitat at the national scale (USA and Canada) but planktivores are expected to lose significantly in both countries which may result in indirect changes in their predators' distribution. In contrast, by 2060 in Canada, the realized habitat of 76% of species will change (55% will lose, 21% will gain) while in the USA, the realized habitat of 85% of species will change (65% will lose, 20% will gain). If all else were held constant, the ecosystem is projected to change radically based on thermal habitat alone. The magnitude of the 2060 warming projection (∼1.5-3°C) was observed in 2012 affirming that research is needed on effects of extreme "weather" in addition to increasing mean temperature. Our approach can be used to aggregate at smaller spatial scales where temperate/boreal species are hypothesized to have a greater loss at ∼40°N. The uncertainty associated with climate change forecasts is large, yet resource management agencies still have to address climate change. How? Since many fishery agencies do not plan beyond 5 years, a logical way forward is to incorporate a "realized thermal habitat index" into the stock assessment process. Over time, decisions would be influenced by the amount of suitable thermal habitat, in concert with gradual or extreme warming.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc15008225
003      
CZ-PrNML
005      
20150306133214.0
007      
ta
008      
150306s2014 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1371/journal.pone.0090662 $2 doi
035    __
$a (PubMed)24599187
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Shackell, Nancy L $u Oceans and Ecosystem Science Division, Department of Fisheries and Oceans, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada.
245    10
$a Thermal habitat index of many northwest Atlantic temperate species stays neutral under warming projected for 2030 but changes radically by 2060 / $c NL. Shackell, D. Ricard, C. Stortini,
520    9_
$a Global scale forecasts of range shifts in response to global warming have provided vital insight into predicted species redistribution. We build on that insight by examining whether local warming will affect habitat on spatiotemporal scales relevant to regional agencies. We used generalized additive models to quantify the realized habitat of 46 temperate/boreal marine species using 41+ years of survey data from 35°N-48°N in the Northwest Atlantic. We then estimated change in a "realized thermal habitat index" under short-term (2030) and long-term (2060) warming scenarios. Under the 2030 scenario, ∼10% of species will lose realized thermal habitat at the national scale (USA and Canada) but planktivores are expected to lose significantly in both countries which may result in indirect changes in their predators' distribution. In contrast, by 2060 in Canada, the realized habitat of 76% of species will change (55% will lose, 21% will gain) while in the USA, the realized habitat of 85% of species will change (65% will lose, 20% will gain). If all else were held constant, the ecosystem is projected to change radically based on thermal habitat alone. The magnitude of the 2060 warming projection (∼1.5-3°C) was observed in 2012 affirming that research is needed on effects of extreme "weather" in addition to increasing mean temperature. Our approach can be used to aggregate at smaller spatial scales where temperate/boreal species are hypothesized to have a greater loss at ∼40°N. The uncertainty associated with climate change forecasts is large, yet resource management agencies still have to address climate change. How? Since many fishery agencies do not plan beyond 5 years, a logical way forward is to incorporate a "realized thermal habitat index" into the stock assessment process. Over time, decisions would be influenced by the amount of suitable thermal habitat, in concert with gradual or extreme warming.
650    _2
$a plocha pod křivkou $7 D019540
650    12
$a ekosystém $7 D017753
650    _2
$a zeměpis $7 D005843
650    12
$a globální oteplování $7 D057232
650    _2
$a teoretické modely $7 D008962
650    _2
$a ROC křivka $7 D012372
650    _2
$a druhová specificita $7 D013045
650    12
$a teplota $7 D013696
650    _2
$a časové faktory $7 D013997
651    _2
$a Atlantský oceán $7 D001267
651    _2
$a Kanada $7 D002170
651    _2
$a Spojené státy americké $7 D014481
655    _2
$a časopisecké články $7 D016428
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Ricard, Daniel $u Biology Centre AS CR v.v.i., Institute of Hydrobiology, České Budějovice, Czech Republic.
700    1_
$a Stortini, Christine $u School for Resource and Environmental Studies, Dalhousie University Halifax, Nova Scotia, Canada.
773    0_
$w MED00180950 $t PloS one $x 1932-6203 $g Roč. 9, č. 3 (2014), s. e90662
856    41
$u https://pubmed.ncbi.nlm.nih.gov/24599187 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20150306 $b ABA008
991    __
$a 20150306133445 $b ABA008
999    __
$a ok $b bmc $g 1065498 $s 891025
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2014 $b 9 $c 3 $d e90662 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
LZP    __
$a Pubmed-20150306

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...