Literature DB >> 24389688

Phenology research for natural resource management in the United States.

Carolyn A F Enquist1, Jherime L Kellermann, Katharine L Gerst, Abraham J Miller-Rushing.   

Abstract

Natural resource professionals in the United States recognize that climate-induced changes in phenology can substantially affect resource management. This is reflected in national climate change response plans recently released by major resource agencies. However, managers on-the-ground are often unclear about how to use phenological information to inform their management practices. Until recently, this was at least partially due to the lack of broad-based, standardized phenology data collection across taxa and geographic regions. Such efforts are now underway, albeit in very early stages. Nonetheless, a major hurdle still exists: phenology-linked climate change research has focused more on describing broad ecological changes rather than making direct connections to local to regional management concerns. To help researchers better design relevant research for use in conservation and management decision-making processes, we describe phenology-related research topics that facilitate "actionable" science. Examples include research on evolution and phenotypic plasticity related to vulnerability, the demographic consequences of trophic mismatch, the role of invasive species, and building robust ecological forecast models. Such efforts will increase phenology literacy among on-the-ground resource managers and provide information relevant for short- and long-term decision-making, particularly as related to climate response planning and implementing climate-informed monitoring in the context of adaptive management. In sum, we argue that phenological information is a crucial component of the resource management toolbox that facilitates identification and evaluation of strategies that will reduce the vulnerability of natural systems to climate change. Management-savvy researchers can play an important role in reaching this goal.

Mesh:

Year:  2014        PMID: 24389688     DOI: 10.1007/s00484-013-0772-6

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  50 in total

1.  Phenological changes reflect climate change in Wisconsin.

Authors:  N L Bradley; A C Leopold; J Ross; W Huffaker
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

Review 2.  Climate warming and disease risks for terrestrial and marine biota.

Authors:  C Drew Harvell; Charles E Mitchell; Jessica R Ward; Sonia Altizer; Andrew P Dobson; Richard S Ostfeld; Michael D Samuel
Journal:  Science       Date:  2002-06-21       Impact factor: 47.728

3.  A globally coherent fingerprint of climate change impacts across natural systems.

Authors:  Camille Parmesan; Gary Yohe
Journal:  Nature       Date:  2003-01-02       Impact factor: 49.962

4.  Forecasting phenology: from species variability to community patterns.

Authors:  Jeffrey M Diez; Inés Ibáñez; Abraham J Miller-Rushing; Susan J Mazer; Theresa M Crimmins; Michael A Crimmins; C David Bertelsen; David W Inouye
Journal:  Ecol Lett       Date:  2012-03-21       Impact factor: 9.492

5.  The effects of phenological mismatches on demography.

Authors:  Abraham J Miller-Rushing; Toke Thomas Høye; David W Inouye; Eric Post
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-10-12       Impact factor: 6.237

Review 6.  Community and ecosystem responses to recent climate change.

Authors:  Gian-Reto Walther
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-12       Impact factor: 6.237

7.  Climate change and distribution shifts in marine fishes.

Authors:  Allison L Perry; Paula J Low; Jim R Ellis; John D Reynolds
Journal:  Science       Date:  2005-05-12       Impact factor: 47.728

Review 8.  A review of climate-driven mismatches between interdependent phenophases in terrestrial and aquatic ecosystems.

Authors:  Alison Donnelly; Amelia Caffarra; Bridget F O'Neill
Journal:  Int J Biometeorol       Date:  2011-04-21       Impact factor: 3.787

9.  Phenological asynchrony between herbivorous insects and their hosts: signal of climate change or pre-existing adaptive strategy?

Authors:  Michael C Singer; Camille Parmesan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-10-12       Impact factor: 6.237

10.  Standardized phenology monitoring methods to track plant and animal activity for science and resource management applications.

Authors:  Ellen G Denny; Katharine L Gerst; Abraham J Miller-Rushing; Geraldine L Tierney; Theresa M Crimmins; Carolyn A F Enquist; Patricia Guertin; Alyssa H Rosemartin; Mark D Schwartz; Kathryn A Thomas; Jake F Weltzin
Journal:  Int J Biometeorol       Date:  2014-01-25       Impact factor: 3.787

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  7 in total

1.  Estimating the onset of spring from a complex phenology database: trade-offs across geographic scales.

Authors:  Katharine L Gerst; Jherime L Kellermann; Carolyn A F Enquist; Alyssa H Rosemartin; Ellen G Denny
Journal:  Int J Biometeorol       Date:  2015-08-11       Impact factor: 3.787

2.  Comparison of the driving forces of spring phenology among savanna landscapes by including combined spatial and temporal heterogeneity.

Authors:  Likai Zhu; Jane Southworth; Jijun Meng
Journal:  Int J Biometeorol       Date:  2014-12-27       Impact factor: 3.787

3.  The rise of phenology with climate change: an evaluation of IJB publications.

Authors:  Alison Donnelly; Rong Yu
Journal:  Int J Biometeorol       Date:  2017-05-19       Impact factor: 3.787

4.  Snowmelt timing, phenology, and growing season length in conifer forests of Crater Lake National Park, USA.

Authors:  Donal S O'Leary; Jherime L Kellermann; Chris Wayne
Journal:  Int J Biometeorol       Date:  2017-09-30       Impact factor: 3.787

5.  USA National Phenology Network's volunteer-contributed observations yield predictive models of phenological transitions.

Authors:  Theresa M Crimmins; Michael A Crimmins; Katharine L Gerst; Alyssa H Rosemartin; Jake F Weltzin
Journal:  PLoS One       Date:  2017-08-22       Impact factor: 3.752

6.  The Plant Phenology Ontology: A New Informatics Resource for Large-Scale Integration of Plant Phenology Data.

Authors:  Brian J Stucky; Rob Guralnick; John Deck; Ellen G Denny; Kjell Bolmgren; Ramona Walls
Journal:  Front Plant Sci       Date:  2018-05-01       Impact factor: 5.753

7.  Differential changes in the onset of spring across US National Wildlife Refuges and North American migratory bird flyways.

Authors:  Eric K Waller; Theresa M Crimmins; Jessica J Walker; Erin E Posthumus; Jake F Weltzin
Journal:  PLoS One       Date:  2018-09-12       Impact factor: 3.240

  7 in total

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