The value of long-term ecological research for evolutionary insights

被引：0

作者：

Cocciardi, Jennifer M. ^{[1
,28
]}

Hoffman, Ava M. ^{[2
]}

Alvarado-Serrano, Diego F. ^{[3
]}

Anderson, Jill ^{[4
]}

Blumstein, Meghan ^{[5
]}

Boehm, Emma L. ^{[6
]}

Bolin, Lana G. ^{[6
]}

Borokini, Israel T. ^{[7
]}

Bradburd, Gideon S. ^{[8
]}

Branch, Haley A. ^{[9
]}

Brudvig, Lars A. ^{[10
]}

Chen, Yanni ^{[11
]}

Collins, Scott L. ^{[12
]}

Des Marais, David L. ^{[5
]}

Gamba, Diana ^{[13
]}

Hanan, Niall P. ^{[14
]}

Howard, Mia M. ^{[8
]}

Jaros, Joseph ^{[15
]}

Juenger, Thomas E. ^{[16
]}

Kooyers, Nicholas J. ^{[17
]}

Kottler, Ezra J. ^{[18
]}

Lau, Jennifer A. ^{[6
]}

Menon, Mitra ^{[19
]}

Moeller, David A. ^{[20
]}

Mozdzer, Thomas J. ^{[21
]}

Sheth, Seema N. ^{[22
]}

Smith, Melinda ^{[23
]}

Toll, Katherine ^{[10
,29
]}

Ungerer, Mark C. ^{[24
]}

Vahsen, Megan L. ^{[25
]}

Wadgymar, Susana M. ^{[26
]}

Waananen, Amy ^{[27
]}

Whitney, Kenneth D. ^{[12
]}

Avolio, Meghan L. ^{[1
]}

机构：

[1] Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD 21218 USA

[2] Fred Hutchinson Canc Ctr, Dept Biostat, Seattle, WA USA

[3] Ohio Univ, Dept Biol Sci, Athens, OH USA

[4] Univ Georgia, Dept Genet, Athens, GA USA

[5] MIT, Dept Civil & Environm Engn, Cambridge, MA USA

[6] Indiana Univ, Dept Biol, Bloomington, IN USA

[7] Montana State Univ, Dept Ecol, Bozeman, MT USA

[8] Univ Michigan, Dept Ecol & Evolutionary Biol, Ann Arbor, MI USA

[9] Univ British Columbia, Dept Bot, Vancouver, BC, Canada

[10] Michigan State Univ, Dept Plant Biol, E Lansing, MI USA

[11] Texas Tech Univ, Dept Biol Sci, Lubbock, TX USA

[12] Univ New Mexico, Dept Biol, Albuquerque, NM USA

[13] Penn State Univ, Dept Biol, University Pk, PA USA

[14] New Mexico State Univ, Dept Plant & Environm Sci, Jornada Basin LTER Program, Las Cruces, NM USA

[15] Fordham Univ, Dept Biol Sci, New York, NY USA

[16] Univ Texas Austin, Dept Integrat Biol, Austin, TX USA

[17] Univ Louisiana Lafayette, Dept Biol, Lafayette, LA USA

[18] Univ Colorado Boulder, Dept Ecol & Evolutionary Biol, Boulder, CO USA

[19] Univ Calif Davis, Dept Evolut & Ecol, Davis, CA USA

[20] Univ Minnesota, Dept Plant & Microbial Biol, Minneapolis, MN USA

[21] Bryn Mawr Coll, Dept Biol, Bryn Mawr, PA USA

[22] North Carolina State Univ, Dept Plant & Microbial Biol, Raleigh, NC USA

[23] Colorado State Univ, Dept Biol, Ft Collins, CO USA

[24] Kansas State Univ, Div Biol, Manhattan, KS USA

[25] Univ Notre Dame, Dept Biol Sci, Notre Dame, IN USA

[26] Davidson Coll, Biol Dept, Davidson, NC USA

[27] Univ Minnesota, Dept Ecol Evolut & Behav, Minneapolis, MN USA

[28] Univ Mississippi, Dept Biol, Oxford, MS 38677 USA

[29] Univ South Carolina, Dept Biol Sci, Columbia, SC USA

来源：

NATURE ECOLOGY & EVOLUTION | 2024年 / 8卷 / 09期

基金：

美国国家科学基金会;

关键词：

RAPID EVOLUTION; CLIMATE-CHANGE; NITROGEN ADDITION; RESPONSES; SELECTION; DYNAMICS; SCALE; PLANT; POPULATION; ADAPTATION;

D O I：

10.1038/s41559-024-02464-y

中图分类号：

Q14 [生态学（生物生态学）];

学科分类号：

071012 ; 0713 ;

摘要：

Scientists must have an integrative understanding of ecology and evolution across spatial and temporal scales to predict how species will respond to global change. Although comprehensively investigating these processes in nature is challenging, the infrastructure and data from long-term ecological research networks can support cross-disciplinary investigations. We propose using these networks to advance our understanding of fundamental evolutionary processes and responses to global change. For ecologists, we outline how long-term ecological experiments can be expanded for evolutionary inquiry, and for evolutionary biologists, we illustrate how observed long-term ecological patterns may motivate new evolutionary questions. We advocate for collaborative, multi-site investigations and discuss barriers to conducting evolutionary work at network sites. Ultimately, these networks offer valuable information and opportunities to improve predictions of species' responses to global change. This Perspective discusses using long-term ecological research networks to advance our understanding of fundamental evolutionary processes and evolutionary responses to global change.

引用

页码：1584 / 1592

页数：9

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