Are Habitat Fragmentation Effects Stronger in Marine Systems? A Review and Meta-analysis
Are Habitat Fragmentation Effects Stronger in Marine Systems? A Review and Meta-analysis
复制标题
海洋系统中的栖息地破碎化效应更强吗?
DOI:
10.1007/s40823-020-00053-w
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发表时间:
2020
期刊:
影响因子:
--
通讯作者:
Oke, Tobi A.
中科院分区:
文献类型:
--
作者:
Yeager, Lauren A.;Estrada, Jenelle;Holt, Kylie;Keyser, Spencer R.;Oke, Tobi A.
Purpose of the ReviewThe importance of habitat fragmentation in driving biodiversity loss has been recently debated. While the negative effects of habitat loss are well-documented, the effects of habitat fragmentation independent of habitat loss (e.g., habitat configuration) are more equivocal. Marine ecosystems have been underrepresented in past reviews, yet may differ fundamentally from terrestrial systems in their responses to habitat fragmentation because of the nature of energy/material flow, open population structure of most marine species, and narrow habitat extents. We conducted a systematic literature review and meta-analysis on the effects of habitat fragmentation in marine ecosystems.Recent FindingsIn our review of 180 studies from 28 articles, we found that habitat fragmentation effects were more often negative than positive, although the overall mean effect did not differ from zero. Interestingly, the mean effect was positive when the response was a measure of abundance, biodiversity, or population/ecosystem stability. Habitat fragmentation had overwhelmingly negative effects when it involved hydrological fragmentation. We found some support for the fragmentation threshold hypothesis via a weak negative relationship between habitat percent cover in the landscape and the habitat fragmentation effect.SummaryResults of this review on the effects of habitat fragmentation in marine ecosystems are largely consistent with another recent review finding that habitat fragmentation (independent of habitat loss) does not have consistent, negative impacts on biodiversity, and in many cases may increase biodiversity. Future work should focus on factors driving this variability and employ multi-scale frameworks to test for congruence between patch- and landscape-scale studies.
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影响因子:
13.6
作者:
Haddad NM;Brudvig LA;Clobert J;Davies KF;Gonzalez A;Holt RD;Lovejoy TE;Sexton JO;Austin MP;Collins CD;Cook WM;Damschen EI;Ewers RM;Foster BL;Jenkins CN;King AJ;Laurance WF;Levey DJ;Margules CR;Melbourne BA;Nicholls AO;Orrock JL;Song DX;Townshend JR
通讯作者:
Townshend JR
DOI:
--
发表时间:
2013
期刊:
影响因子:
--
作者:
P. Ljungberg;Thomas B. Hasper;P. A. Nilsson;A. Persson
通讯作者:
A. Persson
影响因子:
2.7
作者:
E. Irlandi
通讯作者:
E. Irlandi
影响因子:
3.7
作者:
M. Matias;F. Arenas;M. Rubal;I. Pinto
通讯作者:
I. Pinto
影响因子:
1.8
作者:
Mariah C. Livernois;Jonathan H. Grabowski;Abigail K. Poray;T. Gouhier;A. R. Hughes;Kathleen F. O’Brien;Lauren A. Yeager;F. Fodrie
通讯作者:
Mariah C. Livernois;Jonathan H. Grabowski;Abigail K. Poray;T. Gouhier;A. R. Hughes;Kathleen F. O’Brien;Lauren A. Yeager;F. Fodrie