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Cocciardi JM, Hoffman AM, Alvarado-Serrano DF, Anderson J, Blumstein M, Boehm EL, Bolin LG, Borokini IT, Bradburd GS, Branch HA, Brudvig LA, Chen Y, Collins SL, Des Marais DL, Gamba D, Hanan NP, Howard MM, Jaros J, Juenger TE, Kooyers NJ, Kottler EJ, Lau JA, Menon M, Moeller DA, Mozdzer TJ, Sheth SN, Smith M, Toll K, Ungerer MC, Vahsen ML, Wadgymar SM, Waananen A, Whitney KD, Avolio ML. The value of long-term ecological research for evolutionary insights. Nat Ecol Evol 2024; 8:1584-1592. [PMID: 39095611 DOI: 10.1038/s41559-024-02464-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 06/11/2024] [Indexed: 08/04/2024]
Abstract
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.
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Affiliation(s)
- Jennifer M Cocciardi
- Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA.
- Department of Biology, University of Mississippi, Oxford, MS, USA.
| | - Ava M Hoffman
- Department of Biostatistics, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Jill Anderson
- Department of Genetics, University of Georgia, Athens, GA, USA
| | - Meghan Blumstein
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Emma L Boehm
- Department of Biology, Indiana University, Bloomington, IN, USA
| | - Lana G Bolin
- Department of Biology, Indiana University, Bloomington, IN, USA
| | | | - Gideon S Bradburd
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - Haley A Branch
- Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada
| | - Lars A Brudvig
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
| | - Yanni Chen
- Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA
| | - Scott L Collins
- Department of Biology, University of New Mexico, Albuquerque, NM, USA
| | - David L Des Marais
- Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Diana Gamba
- Department of Biology, Pennsylvania State University, University Park, PA, USA
| | - Niall P Hanan
- Department of Plant and Environmental Sciences, Jornada Basin LTER Program, New Mexico State University, Las Cruces, NM, USA
| | - Mia M Howard
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA
| | - Joseph Jaros
- Department of Biological Sciences, Fordham University, New York, NY, USA
| | - Thomas E Juenger
- Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA
| | - Nicholas J Kooyers
- Department of Biology, University of Louisiana at Lafayette, Lafayette, LA, USA
| | - Ezra J Kottler
- Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, CO, USA
| | - Jennifer A Lau
- Department of Biology, Indiana University, Bloomington, IN, USA
| | - Mitra Menon
- Department of Evolution and Ecology, University of California, Davis, Davis, CA, USA
| | - David A Moeller
- Department of Plant and Microbial Biology, University of Minnesota, Minneapolis, MN, USA
| | | | - Seema N Sheth
- Department of Plant and Microbial Biology, North Carolina State University, Raleigh, NC, USA
| | - Melinda Smith
- Department of Biology, Colorado State University, Fort Collins, CO, USA
| | - Katherine Toll
- Department of Plant Biology, Michigan State University, East Lansing, MI, USA
- Department of Biological Sciences, University of South Carolina, Columbia, SC, USA
| | - Mark C Ungerer
- Division of Biology, Kansas State University, Manhattan, KS, USA
| | - Megan L Vahsen
- Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
| | | | - Amy Waananen
- Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, MN, USA
| | - Kenneth D Whitney
- Department of Biology, University of New Mexico, Albuquerque, NM, USA
| | - Meghan L Avolio
- Department of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD, USA.
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Paolinelli Reis B, Branquinho C, Török K, Řehounková K, Nunes A, Halassy M. The added value of the long-term ecological research network to upscale restoration in Europe. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 366:121736. [PMID: 38976950 DOI: 10.1016/j.jenvman.2024.121736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 06/11/2024] [Accepted: 07/03/2024] [Indexed: 07/10/2024]
Abstract
Achieving global restoration targets poses challenges including the need for long-term research and effective monitoring of success, fostering collaborations across diverse fields and actors, ensuring the availability of suitable reference ecosystems, and securing sustained funding. Yet, these conditions are often lacking, limiting the effectiveness of restoration. We provide an overview of ecological restoration practices in the pan-European region of the Long-term Ecological Research Network (eLTER) and demonstrate the importance of eLTER and its potential contributions to support the implementation of the EU Nature Restoration Law. We developed an online questionnaire to collect information on eLTER restoration experts and restoration projects details including the use of eLTER contributions (e.g. infrastructure, data and knowledge), between November 2021 and March 2022. We identified 62 restoration experts and 42 restoration projects from 18 countries. Our results show that eLTER restoration expertise covers most of the European habitats, diverse degradation states and restoration techniques. Most restoration projects (78%) involved long-term monitoring exceeding the average project lifespan, which has proven necessary to achieve restoration success. No common protocol was used for monitoring and evaluation or cost-benefit estimates, but respondents reported effective projects, mostly financed from national funds, and benefits in five ecosystem services on average covered per project. Key eLTER contributions included providing reference ecosystems, biotic and abiotic background data, and interdisciplinary discussion or stakeholder management. Ecological restoration is time intensive and requires long-term research and monitoring standardization to fully understand the restoration process and to ensure comparability across ecosystems. The eLTER network can help address these challenges providing added-value contributions through its infrastructure, long-term datasets, diversity of expertise and strategies that can help identify best restoration practices and support the EU Nature Restoration Law. Finally, additional and long-term funding from the EU and the private sector is needed to achieve global larger-scale restoration targets.
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Affiliation(s)
- Bruna Paolinelli Reis
- Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, C2, Piso 5, 1749-016, Lisboa, Portugal.
| | - Cristina Branquinho
- Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, C2, Piso 5, 1749-016, Lisboa, Portugal
| | - Katalin Török
- HUN-REN Centre for Ecological Research, Institute of Ecology and Botany, Restoration Ecology Group, Alkotmány u.a 2-4, 2163, Vácrátót, Hungary
| | - Klára Řehounková
- Faculty of Science, University of South Bohemia, České Budějovice, CZ, Czech Republic
| | - Alice Nunes
- Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, C2, Piso 5, 1749-016, Lisboa, Portugal
| | - Melinda Halassy
- HUN-REN Centre for Ecological Research, Institute of Ecology and Botany, Restoration Ecology Group, Alkotmány u.a 2-4, 2163, Vácrátót, Hungary
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3
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Krebs CJ, Boutin S, Boonstra R. Population and community ecology: past progress and future directions. Integr Zool 2024. [PMID: 38956827 DOI: 10.1111/1749-4877.12863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/04/2024]
Abstract
Population and community ecology as a science are about 100 years old, and we discuss here our opinion of what approaches have progressed well and which point to possible future directions. The three major threads within population and community ecology are theoretical ecology, statistical tests and models, and experimental ecology. We suggest that our major objective is to understand what factors determine the distribution and abundance of organisms within populations and communities, and we evaluate these threads against this major objective. Theoretical ecology is elegant and compelling and has laid the groundwork for achieving our overall objectives with useful simple models. Statistics and statistical models have contributed informative methods to analyze quantitatively our understanding of distribution and abundance for future research. Population ecology is difficult to carry out in the field, even though we may have all the statistical methods and models needed to achieve results. Community ecology is growing rapidly with much description but less understanding of why changes occur. Biodiversity science cuts across all these subdivisions but rarely digs into the necessary population and community science that might solve conservation problems. Climate change affects all aspects of ecology but to assume that everything in population and community ecology is driven by climate change is oversimplified. We make recommendations on how to advance the field with advice for present and future generations of population and community ecologists.
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Affiliation(s)
- Charles J Krebs
- Department of Zoology, University of British Columbia, Vancouver, British Columbia, Canada
| | - Stan Boutin
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
| | - Rudy Boonstra
- Department of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario, Canada
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4
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Wang Z, Fu H, Ren X. Assessing the effects of extreme climate risk on urban ecological resilience in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:28225-28240. [PMID: 38536570 DOI: 10.1007/s11356-024-33039-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 03/18/2024] [Indexed: 04/30/2024]
Abstract
The frequent occurrence of extreme weather events has imparted significant pressure on urban ecosystem management. Evaluating the relationship between extreme climate risk (ECR) and urban ecological resilience (UER) is a key issue in achieving the green and sustainable development objectives of cities. This study measures UER in China from 2005 to 2020 using the entropy weight method-TOPSIS method, investigates the relationship between ECR and UER using the dynamic GMM model, and further explores the influencing mechanism. The results suggest that ECR has an inhibiting influence on UER. Additionally, the moderating mechanism investigation demonstrates that environmental regulation can mitigate the threat of ECR to UER to a certain extent, and with the regulation effect based on the government's environmental concern being better than that of the market pollution fee payment. The group test outcomes demonstrate that the discrepancies in regions and marketization lead to certain differences in the relationship between ECR and UER. Additional investigation indicates that ECR has an asymmetric relationship with UER at distinct quantiles. Our findings reflect the subtle associations between ECR and UER as a whole, and will help relevant organizations in formulating more precise and scientific policies to enhance urban ecological resilience.
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Affiliation(s)
- Zongrun Wang
- School of Business, Central South University, Changsha, 410083, China
| | - Haiqin Fu
- School of Business, Central South University, Changsha, 410083, China
| | - Xiaohang Ren
- School of Business, Central South University, Changsha, 410083, China.
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5
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Maureaud AA, Palacios-Abrantes J, Kitchel Z, Mannocci L, Pinsky ML, Fredston A, Beukhof E, Forrest DL, Frelat R, Palomares MLD, Pecuchet L, Thorson JT, van Denderen PD, Mérigot B. FISHGLOB_data: an integrated dataset of fish biodiversity sampled with scientific bottom-trawl surveys. Sci Data 2024; 11:24. [PMID: 38177193 PMCID: PMC10766603 DOI: 10.1038/s41597-023-02866-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 12/18/2023] [Indexed: 01/06/2024] Open
Abstract
Scientific bottom-trawl surveys are ecological observation programs conducted along continental shelves and slopes of seas and oceans that sample marine communities associated with the seafloor. These surveys report taxa occurrence, abundance and/or weight in space and time, and contribute to fisheries management as well as population and biodiversity research. Bottom-trawl surveys are conducted all over the world and represent a unique opportunity to understand ocean biogeography, macroecology, and global change. However, combining these data together for cross-ecosystem analyses remains challenging. Here, we present an integrated dataset of 29 publicly available bottom-trawl surveys conducted in national waters of 18 countries that are standardized and pre-processed, covering a total of 2,170 sampled fish taxa and 216,548 hauls collected from 1963 to 2021. We describe the processing steps to create the dataset, flags, and standardization methods that we developed to assist users in conducting spatio-temporal analyses with stable regional survey footprints. The aim of this dataset is to support research, marine conservation, and management in the context of global change.
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Affiliation(s)
- Aurore A Maureaud
- Center for Biodiversity & Global Change, Yale University, New Haven, CT, USA.
- Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT, USA.
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA.
| | - Juliano Palacios-Abrantes
- Changing Ocean Research Unit, Institute for the Oceans & Fisheries, The University of British Columbia, Vancouver, BC, Canada
| | - Zoë Kitchel
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
| | - Laura Mannocci
- FRB-CESAB, Montpellier, France
- MARBEC, Univ Montpellier, CNRS, IRD, IFREMER, Sète, France
| | - Malin L Pinsky
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Department of Ecology & Evolutionary Biology, University of California Santa Cruz, Santa Cruz, CA, USA
| | - Alexa Fredston
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Department of Ocean Sciences, University of California, Santa Cruz, Santa Cruz, CA, USA
| | - Esther Beukhof
- National Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Daniel L Forrest
- Department of Ecology, Evolution & Natural Resources, Rutgers University, New Brunswick, NJ, USA
- Institute for Resources, Environment and Sustainability, The University of British Columbia, Vancouver, BC, Canada
| | - Romain Frelat
- International Livestock Research Institute, Nairobi, Kenya
| | - Maria L D Palomares
- Sea Around Us, Institute for the Oceans and Fisheries, The University of British Columbia, Vancouver, BC, Canada
| | | | - James T Thorson
- Alaska Fisheries Science Center, National Marine Fisheries Service (NOAA), Seattle, WA, USA
| | - P Daniël van Denderen
- National Institute of Aquatic Resources, Technical University of Denmark, Kongens Lyngby, Denmark
- Graduate School of Oceanography, University of Rhode Island, Narragansett, RI, 02882, USA
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6
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Jackson ST. Repurposing long-term ecological studies for climate change. Proc Natl Acad Sci U S A 2023; 120:e2314444120. [PMID: 37756347 PMCID: PMC10576021 DOI: 10.1073/pnas.2314444120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023] Open
Affiliation(s)
- Stephen T. Jackson
- National Climate Adaptation Science Center, United States Geological Survey, Tucson, AZ85719
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González García L, Fernández M, Azevedo JMN. MONICET: The Azores whale watching contribution to cetacean monitoring. Biodivers Data J 2023; 11:e106991. [PMID: 38318509 PMCID: PMC10840504 DOI: 10.3897/bdj.11.e106991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/07/2023] [Indexed: 02/07/2024] Open
Abstract
Background The Azores islands have been historically linked to cetaceans, becoming an example of a successful transition from whaling to whale watching. Twenty-eight cetacean species have been sighted in these waters, making the archipelago one of the most recognised whale and dolphin watching destinations worldwide. The business is well-established in the region, operates in four of the nine islands year-round or seasonally and provides an excellent opportunity to collect long term information on cetacean distribution and abundance in an affordable way. Continuous monitoring is indeed essential to establish baseline knowledge and to evaluate cetacean response to potential natural or anthropogenic impacts. Opportunistic data greatly complement traditional dedicated surveys, providing additional support for appropriate management plans. New information The MONICET platform has been running continuously since 2009 as a collaborative instrument to collect, store, organise and disseminate cetacean data voluntarily collected by whale watching companies in the Azores. In the period covered by this dataset (2009-2020), 11 whale watching companies have voluntarily provided data from the four islands of the archipelago where whale watching takes place. The dataset contains more than 37,000 sightings of 25 species (22 cetaceans and three turtles). This manuscript presents the first long-term whale watching cetacean occurrence dataset openly available for the Azores. We explain the methodology used for data collection and address the potential biases and limitations inherent to the opportunistic nature of the dataset to maximise its usability by external users.
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Affiliation(s)
- Laura González García
- Institute of Marine Sciences - OKEANOS, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862, Horta, PortugalInstitute of Marine Sciences - OKEANOS, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862HortaPortugal
| | - Marc Fernández
- MARE – Marine and Environmental Sciences Centre/ARNET - Aquatic Research Network, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI), Funchal, PortugalMARE – Marine and Environmental Sciences Centre/ARNET - Aquatic Research Network, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação (ARDITI)FunchalPortugal
| | - José M. N. Azevedo
- Institute of Marine Sciences - OKEANOS, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862, Horta, PortugalInstitute of Marine Sciences - OKEANOS, University of the Azores, Rua Professor Doutor Frederico Machado 4, 9901-862HortaPortugal
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8
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Cael BB, Bisson K, Boss E, Dutkiewicz S, Henson S. Global climate-change trends detected in indicators of ocean ecology. Nature 2023; 619:551-554. [PMID: 37438519 PMCID: PMC10356596 DOI: 10.1038/s41586-023-06321-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 06/14/2023] [Indexed: 07/14/2023]
Abstract
Strong natural variability has been thought to mask possible climate-change-driven trends in phytoplankton populations from Earth-observing satellites. More than 30 years of continuous data were thought to be needed to detect a trend driven by climate change1. Here we show that climate-change trends emerge more rapidly in ocean colour (remote-sensing reflectance, Rrs), because Rrs is multivariate and some wavebands have low interannual variability. We analyse a 20-year Rrs time series from the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Aqua satellite, and find significant trends in Rrs for 56% of the global surface ocean, mainly equatorward of 40°. The climate-change signal in Rrs emerges after 20 years in similar regions covering a similar fraction of the ocean in a state-of-the-art ecosystem model2, which suggests that our observed trends indicate shifts in ocean colour-and, by extension, in surface-ocean ecosystems-that are driven by climate change. On the whole, low-latitude oceans have become greener in the past 20 years.
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Affiliation(s)
- B B Cael
- National Oceanography Centre, Southampton, UK.
| | - Kelsey Bisson
- Department of Botany and Plant Pathology, Oregon State University, Corvallis, OR, USA
| | | | - Stephanie Dutkiewicz
- Center for Global Change Science, Massachusetts Institute of Technology, Cambridge, MA, USA
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9
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Shade A. Microbiome rescue: directing resilience of environmental microbial communities. Curr Opin Microbiol 2023; 72:102263. [PMID: 36657335 DOI: 10.1016/j.mib.2022.102263] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/30/2022] [Accepted: 12/18/2022] [Indexed: 01/18/2023]
Abstract
Earth's climate crisis threatens to disrupt ecosystem services and destabilize food security. Microbiome management will be a crucial component of a comprehensive strategy to maintain stable microbinal functions for ecosystems and plants in the face of climate change. Microbiome rescue is the directed, community-level recovery of microbial populations and functions lost after an environmental disturbance. Microbiome rescue aims to propel a resilience trajectory for community functions. Rescue can be achieved via demographic, functional, adaptive, or evolutionary recovery of disturbance-sensitive populations. Various ecological mechanisms support rescue, including dispersal, reactivation from dormancy, functional redundancy, plasticity, and diversification, and these mechanisms can interact. Notably, controlling microbial reactivation from dormancy is a potentially fruitful but underexplored target for rescue.
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Affiliation(s)
- Ashley Shade
- Univ Lyon, CNRS, INSA Lyon, Université Claude Bernard Lyon 1, École Centrale de Lyon, Ampère, UMR5005, 69134 Ecully cedex, France; Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA; The Plant Resilience Institute, Michigan State University, East Lansing, MI 48824, USA; Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI 48824, USA; Program in Ecology, Evolution, and Behavior, Michigan State University, East Lansing, MI 48824, USA; The Great Lakes Bioenergy Research Center, Michigan State University, East Lansing, MI 48824, USA.
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10
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Santos CS, Habyarimana E, Vasconcelos MW. Editorial: The impact of climate change on nutrient composition of staple foods and the role of diversification in increasing food system resilience. FRONTIERS IN PLANT SCIENCE 2023; 14:1087712. [PMID: 36755693 PMCID: PMC9900100 DOI: 10.3389/fpls.2023.1087712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/10/2023] [Indexed: 06/18/2023]
Affiliation(s)
- Carla S. Santos
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina – Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
| | - Ephrem Habyarimana
- Sorghum Breeding, International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Telangana, India
| | - Marta W. Vasconcelos
- Universidade Católica Portuguesa, CBQF - Centro de Biotecnologia e Química Fina – Laboratório Associado, Escola Superior de Biotecnologia, Porto, Portugal
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11
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The effect of long-term climatic variability on wild mammal populations in a tropical forest hotspot: A business intelligence framework. ECOL INFORM 2022. [DOI: 10.1016/j.ecoinf.2022.101924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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12
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Tribelli PM, López NI. Insights into the temperature responses of Pseudomonas species in beneficial and pathogenic host interactions. Appl Microbiol Biotechnol 2022; 106:7699-7709. [PMID: 36271255 DOI: 10.1007/s00253-022-12243-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 09/30/2022] [Accepted: 10/12/2022] [Indexed: 11/28/2022]
Abstract
Pseudomonas species are metabolically versatile bacteria able to exploit a wide range of ecological niches. Different Pseudomonas species can grow as free-living cells, biofilms, or associated with plants or animals, including humans, and their ecological success partially lies in their ability to grow and adapt to different temperatures. These bacteria are relevant for human activities, due to their clinical importance and their biotechnological potential for different applications such as bioremediation and the production of biopolymers, surfactants, secondary metabolites, and enzymes. In agriculture, some of them can act as plant growth promoters and are thus used as inoculants, whereas others, like P. syringae pathovars, can cause disease in commercial crops. This review aims to provide an overview of the temperature-response mechanisms in Pseudomonas species, looking for novel features or strategies based on techniques such as transcriptomics and proteomics. We focused on temperature-dependent traits mainly associated with virulence, host colonization, survival, and production of secondary metabolites. We analyzed human, animal, and plant pathogens and plant growth-promoting Pseudomonas species, including P. aeruginosa, P. plecoglossicida, several P. syringae pathovars, and P. protegens. Our aim was to provide a comprehensive view of the relevance of temperature-response traits in human and animal health and agricultural applications. Our analysis showed that features relevant to the bacterial-host interaction are adjusted to the environmental or host temperature regardless of the optimal growth temperature in the laboratory, and thus contribute to improving bacterial fitness. KEY POINTS: • In Pseudomonas species, temperature impacts the bacterial-host interaction. • Interaction traits are expressed at temperatures different from the optimal reported. • The bacterial-host interaction could be affected by climate change.
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Affiliation(s)
- Paula M Tribelli
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, 1428EGA, Buenos Aires, Argentina. .,IQUIBICEN-CONICET, Buenos Aires, Argentina.
| | - Nancy I López
- Departamento de Química Biológica, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, 1428EGA, Buenos Aires, Argentina.,IQUIBICEN-CONICET, Buenos Aires, Argentina
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13
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Hudson AR, Peters DPC, Blair JM, Childers DL, Doran PT, Geil K, Gooseff M, Gross KL, Haddad NM, Pastore MA, Rudgers JA, Sala O, Seabloom EW, Shaver G. Cross-Site Comparisons of Dryland Ecosystem Response to Climate Change in the US Long-Term Ecological Research Network. Bioscience 2022; 72:889-907. [PMID: 36034512 PMCID: PMC9405733 DOI: 10.1093/biosci/biab134] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Long-term observations and experiments in diverse drylands reveal how ecosystems and services are responding to climate change. To develop generalities about climate change impacts at dryland sites, we compared broadscale patterns in climate and synthesized primary production responses among the eight terrestrial, nonforested sites of the United States Long-Term Ecological Research (US LTER) Network located in temperate (Southwest and Midwest) and polar (Arctic and Antarctic) regions. All sites experienced warming in recent decades, whereas drought varied regionally with multidecadal phases. Multiple years of wet or dry conditions had larger effects than single years on primary production. Droughts, floods, and wildfires altered resource availability and restructured plant communities, with greater impacts on primary production than warming alone. During severe regional droughts, air pollution from wildfire and dust events peaked. Studies at US LTER drylands over more than 40 years demonstrate reciprocal links and feedbacks among dryland ecosystems, climate-driven disturbance events, and climate change.
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Affiliation(s)
- Amy R Hudson
- Agricultural Research Service's Big Data Initiative and SCINet Program for Scientific Computing in Berwyn Heights , Maryland, United States
| | - Debra P C Peters
- Agricultural Research Service's Big Data Initiative and SCINet Program for Scientific Computing in Berwyn Heights , Maryland, United States
- US Department of Agriculture Agricultural Research Service's Jornada Experimental Range, Las Cruces , New Mexico, United States
- New Mexico State University , Las Cruces, New Mexico, United States
| | - John M Blair
- Kansas State University, Manhattan , Kansas, United States
| | | | - Peter T Doran
- Louisiana State University , Baton Rouge, Louisiana, United States
| | - Kerrie Geil
- Agricultural Research Service's Big Data Initiative and SCINet Program for Scientific Computing in Berwyn Heights , Maryland, United States
| | | | - Katherine L Gross
- W. K. Kellogg Biological Station, Vermont , United States
- Department of Plant Biology, Vermont , United States
| | - Nick M Haddad
- W. K. Kellogg Biological Station, Vermont , United States
- Department of Plant Biology, Vermont , United States
| | | | | | - Osvaldo Sala
- Arizona State University , Tempe, Arizona, United States
- Global Drylands Center and the School of Life Sciences, Arizona State University , Tempe, Arizona, United States
| | - Eric W Seabloom
- University of Minnesota , St. Paul, Minnesota, United States
| | - Gaius Shaver
- Marine Biological Laboratory, Woods Hole , Massachusetts, United States
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Campbell JL, Driscoll CT, Jones JA, Boose ER, Dugan HA, Groffman PM, Jackson CR, Jones JB, Juday GP, Lottig NR, Penaluna BE, Ruess RW, Suding K, Thompson JR, Zimmerman JK. Forest and Freshwater Ecosystem Responses to Climate Change and Variability at US LTER Sites. Bioscience 2022. [DOI: 10.1093/biosci/biab124] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Forest and freshwater ecosystems are tightly linked and together provide important ecosystem services, but climate change is affecting their species composition, structure, and function. Research at nine US Long Term Ecological Research sites reveals complex interactions and cascading effects of climate change, some of which feed back into the climate system. Air temperature has increased at all sites, and those in the Northeast have become wetter, whereas sites in the Northwest and Alaska have become slightly drier. These changes have altered streamflow and affected ecosystem processes, including primary production, carbon storage, water and nutrient cycling, and community dynamics. At some sites, the direct effects of climate change are the dominant driver altering ecosystems, whereas at other sites indirect effects or disturbances and stressors unrelated to climate change are more important. Long-term studies are critical for understanding the impacts of climate change on forest and freshwater ecosystems.
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Affiliation(s)
| | | | - Julia A Jones
- Oregon State University , Corvallis, Oregon, United States
| | - Emery R Boose
- Harvard University , Petersham, Massachusetts, United States
| | - Hilary A Dugan
- University of Wisconsin , Madison, Wisconsin, United States
| | - Peter M Groffman
- City University of New York, and with the Cary Institute of Ecosystem Studies , Millbrook, New York, United States
| | | | - Jeremy B Jones
- University of Alaska Fairbanks , Fairbanks, Alaska, United States
| | - Glenn P Juday
- University of Alaska Fairbanks , Fairbanks, Alaska, United States
| | - Noah R Lottig
- University of Wisconsin's Trout Lake Station , Boulder Junction, Wisconsin, United States
| | | | - Roger W Ruess
- University of Alaska Fairbanks , Fairbanks, Alaska, United States
| | | | | | - Jess K Zimmerman
- University of Puerto Rico-Rio Piedras , San Juan, Puerto Rico, United States
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