1
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Dantzer B, Mabry KE, Bernhardt JR, Cox RM, Francis CD, Ghalambor CK, Hoke KL, Jha S, Ketterson E, Levis NA, McCain KM, Patricelli GL, Paull SH, Pinter-Wollman N, Safran RJ, Schwartz TS, Throop HL, Zaman L, Martin LB. Understanding Organisms Using Ecological Observatory Networks. Integr Org Biol 2023; 5:obad036. [PMID: 37867910 PMCID: PMC10586040 DOI: 10.1093/iob/obad036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 06/07/2023] [Accepted: 09/21/2023] [Indexed: 10/24/2023] Open
Abstract
Human activities are rapidly changing ecosystems around the world. These changes have widespread implications for the preservation of biodiversity, agricultural productivity, prevalence of zoonotic diseases, and sociopolitical conflict. To understand and improve the predictive capacity for these and other biological phenomena, some scientists are now relying on observatory networks, which are often composed of systems of sensors, teams of field researchers, and databases of abiotic and biotic measurements across multiple temporal and spatial scales. One well-known example is NEON, the US-based National Ecological Observatory Network. Although NEON and similar networks have informed studies of population, community, and ecosystem ecology for years, they have been minimally used by organismal biologists. NEON provides organismal biologists, in particular those interested in NEON's focal taxa, with an unprecedented opportunity to study phenomena such as range expansions, disease epidemics, invasive species colonization, macrophysiology, and other biological processes that fundamentally involve organismal variation. Here, we use NEON as an exemplar of the promise of observatory networks for understanding the causes and consequences of morphological, behavioral, molecular, and physiological variation among individual organisms.
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Affiliation(s)
- B Dantzer
- Department of Psychology, University of Michigan, Ann Arbor, MI 48109,USA
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109,USA
| | - K E Mabry
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109,USA
- Department of Biology, New Mexico State University, Las Cruces, NM 88003,USA
| | - J R Bernhardt
- Department of Biology, New Mexico State University, Las Cruces, NM 88003,USA
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - R M Cox
- Department of Biology, University of Virginia, Charlottesville, VA 22940,USA
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93407,USA
| | - C D Francis
- Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93407,USA
- Department of Biology, Centre for Biodiversity Dynamics (CBD), Norwegian University of Science and Technology (NTNU), N‐7491 Trondheim, Norway
| | - C K Ghalambor
- Department of Biology, Centre for Biodiversity Dynamics (CBD), Norwegian University of Science and Technology (NTNU), N‐7491 Trondheim, Norway
- Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - K L Hoke
- Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
| | - S Jha
- Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712,USA
| | - E Ketterson
- Department of Biology, Indiana University, 1001 E. Third Street, Bloomington, IN 47405,USA
| | - N A Levis
- Department of Biology, Indiana University, 1001 E. Third Street, Bloomington, IN 47405,USA
| | - K M McCain
- Global Health and Infectious Disease Research Center, College of Public Health, University of South Florida, Tampa, FL 33612,USA
| | - G L Patricelli
- Department of Evolution and Ecology, University of California, Davis, CA 95616,USA
| | - S H Paull
- Battelle, National Ecological Observatory Network, 1685 38th Street, Boulder, CO 80301, USA
| | - N Pinter-Wollman
- Department of Ecology and Evolutionary Biology, University of California Los Angeles, 621 Charles E. Young Drive South, Los Angeles, CA 90095, USA
| | - R J Safran
- Department of Ecology and Evolutionary Biology, University of Colorado, Boulder 80309,USA
| | - T S Schwartz
- Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA
| | - H L Throop
- School of Earth and Space Exploration and School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
| | - L Zaman
- Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109,USA
- Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USA
| | - L B Martin
- Global Health and Infectious Disease Research Center and Center for Genomics, College of Public Health, University of South Florida, Tampa, FL 33612,USA
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2
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Muir AM, Bernhardt JR, Boucher NW, Cvitanovic C, Dettmers JM, Gaden M, Hinderer JLM, Locke B, Robinson KF, Siefkes MJ, Young N, Cooke SJ. Confronting a post-pandemic new-normal-threats and opportunities to trust-based relationships in natural resource science and management. J Environ Manage 2023; 330:117140. [PMID: 36603252 PMCID: PMC9809200 DOI: 10.1016/j.jenvman.2022.117140] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 11/29/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
Natural resource governance is inherently complex owing to the socio-ecological systems in which it is embedded. Working arrangements have been fundamentally transformed throughout the COVID-19 pandemic with potential negative impacts on trust-based social networks foundational to resource management and transboundary governance. To inform development of a post-pandemic new-normal in resource management, we examined trust relationships using the Laurentian Great Lakes of North America as a case study. 82.9% (n = 97/117) of Great Lakes fishery managers and scientists surveyed indicated that virtual engagement was effective for maintaining well-established relationships during the pandemic; however, 76.7% (n = 89/116) of respondents indicated in-person engagement to be more effective than virtual engagement for building and maintaining trust. Despite some shortcomings, virtual or remote engagement presents opportunities, such as: (1) care and nurturing of well-established long-term relationships; (2) short-term (1-3 years) trust maintenance; (3) peer-peer or mentor-mentee coordination; (4) supplemental communications; (5) producer-push knowledge dissemination; and, if done thoughtfully, (6) enhancing diversity, equity, and inclusion. Without change, pre-pandemic trust-based relationships foundational to cooperative, multinational, resource management are under threat.
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Affiliation(s)
- A M Muir
- Great Lakes Fishery Commission, 2200 Commonwealth Blvd., Suite 100, Ann Arbor, MI, 48105, USA.
| | - J R Bernhardt
- Centre for Ecosystem Management, University of Guelph, Ontario, N1G 2W1, Canada; Department of Integrative Biology, University of Guelph, Ontario, N1G 2W1, Canada
| | - N W Boucher
- Great Lakes Fishery Commission, 2200 Commonwealth Blvd., Suite 100, Ann Arbor, MI, 48105, USA
| | - C Cvitanovic
- School of Business, University of New South Wales, Canberra, Australian Capital Territory, Australia; Centre for Marine Socioecology, University of Tasmania, Australia
| | - J M Dettmers
- Great Lakes Fishery Commission, 2200 Commonwealth Blvd., Suite 100, Ann Arbor, MI, 48105, USA
| | - M Gaden
- Great Lakes Fishery Commission, 2200 Commonwealth Blvd., Suite 100, Ann Arbor, MI, 48105, USA
| | - J L M Hinderer
- Great Lakes Fishery Commission, 2200 Commonwealth Blvd., Suite 100, Ann Arbor, MI, 48105, USA
| | - B Locke
- Ontario Ministry of Natural Resources and Forestry, Wheatley, Ontario, N0P 1A0, Canada
| | - K F Robinson
- Quantitative Fisheries Center, Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI, 48824, USA; U.S. Geological Survey, Georgia Cooperative Fish and Wildlife Research Unit, Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, 30602, USA
| | - M J Siefkes
- Great Lakes Fishery Commission, 2200 Commonwealth Blvd., Suite 100, Ann Arbor, MI, 48105, USA
| | - N Young
- School of Sociological and Anthropological Studies, University of Ottawa, 120 University Private, Ottawa, Canada
| | - S J Cooke
- Canadian Centre for Evidence-Based Conservation, Department of Biology and Institute of Environmental and Interdisciplinary Science, Carleton University, Ottawa, K1S 5B6, Canada
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3
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Harrison JF, Biewener A, Bernhardt JR, Burger JR, Brown JH, Coto ZN, Duell ME, Lynch M, Moffett ER, Norin T, Pettersen AK, Smith FA, Somjee U, Traniello JFA, Williams TM. White Paper: An Integrated Perspective on the Causes of Hypometric Metabolic Scaling in Animals. Integr Comp Biol 2022; 62:icac136. [PMID: 35933126 PMCID: PMC9724154 DOI: 10.1093/icb/icac136] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Revised: 04/16/2022] [Accepted: 05/19/2022] [Indexed: 11/15/2022] Open
Abstract
Larger animals studied during ontogeny, across populations, or across species, usually have lower mass-specific metabolic rates than smaller animals (hypometric scaling). This pattern is usually observed regardless of physiological state (e.g. basal, resting, field, maximally-active). The scaling of metabolism is usually highly correlated with the scaling of many life history traits, behaviors, physiological variables, and cellular/molecular properties, making determination of the causation of this pattern challenging. For across-species comparisons of resting and locomoting animals (but less so for across populations or during ontogeny), the mechanisms at the physiological and cellular level are becoming clear. Lower mass-specific metabolic rates of larger species at rest are due to a) lower contents of expensive tissues (brains, liver, kidneys), and b) slower ion leak across membranes at least partially due to membrane composition, with lower ion pump ATPase activities. Lower mass-specific costs of larger species during locomotion are due to lower costs for lower-frequency muscle activity, with slower myosin and Ca++ ATPase activities, and likely more elastic energy storage. The evolutionary explanation(s) for hypometric scaling remain(s) highly controversial. One subset of evolutionary hypotheses relies on constraints on larger animals due to changes in geometry with size; for example, lower surface-to-volume ratios of exchange surfaces may constrain nutrient or heat exchange, or lower cross-sectional areas of muscles and tendons relative to body mass ratios would make larger animals more fragile without compensation. Another subset of hypotheses suggests that hypometric scaling arises from biotic interactions and correlated selection, with larger animals experiencing less selection for mass-specific growth or neurolocomotor performance. A additional third type of explanation comes from population genetics. Larger animals with their lower effective population sizes and subsequent less effective selection relative to drift may have more deleterious mutations, reducing maximal performance and metabolic rates. Resolving the evolutionary explanation for the hypometric scaling of metabolism and associated variables is a major challenge for organismal and evolutionary biology. To aid progress, we identify some variation in terminology use that has impeded cross-field conversations on scaling. We also suggest that promising directions for the field to move forward include: 1) studies examining the linkages between ontogenetic, population-level, and cross-species allometries, 2) studies linking scaling to ecological or phylogenetic context, 3) studies that consider multiple, possibly interacting hypotheses, and 4) obtaining better field data for metabolic rates and the life history correlates of metabolic rate such as lifespan, growth rate and reproduction.
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Affiliation(s)
- Jon F Harrison
- School of Life Sciences, Arizona State University, Tempe, AZ 85287-4501, USA
| | - Andrew Biewener
- Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA
| | - Joanna R Bernhardt
- Department of Zoology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
- Yale Institute for Biospheric Studies, New Haven, CT 06520, USA
| | - Joseph R Burger
- Department of Biology, University of Kentucky, Lexington, KY 40506, USA
| | - James H Brown
- Center for Evolutionary and Theoretical Immunology, The University of New Mexico, Albuquerque, NM 87131, USA
| | - Zach N Coto
- Department of Biology, Boston University, Boston, MA 02215, USA
| | - Meghan E Duell
- Department of Biology, The University of Western Ontario, London, ON N6A 3K7, Canada
| | - Michael Lynch
- Biodesign Center for Mechanisms of Evolution, Arizona State University, Tempe, AZ 85281, USA
| | - Emma R Moffett
- Department of Ecology and Evolution, University of California, Irvine, CA 92697, USA
| | - Tommy Norin
- DTU Aqua | National Institute of Aquatic Resources, Technical University of Denmark, Anker Engelunds Vej 1 Bygning 101A, 2800 Kgs. Lyngby, Denmark
| | - Amanda K Pettersen
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
| | - Felisa A Smith
- Department of Biology, University of New Mexico, Albuquerque, NM 87131, USA
| | - Ummat Somjee
- Smithsonian Tropical Research Institute, Panama City, Panama
| | | | - Terrie M Williams
- Division of Physical and Biological Sciences, University of California, Santa Cruz, CA 95064, USA
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4
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Abstract
With over 1 million species on earth, each biologically unique, do we have any hope of understanding whether species will persist in a warming world? We might, because it turns out that there is surprising regularity in how warming accelerates the major metabolic processes that power life. A persistent challenge has been to understand ecological effects of temperature in the context of species interactions, especially when individuals not only experience temperature but also mortality due to parasitism or predation. Kirk et al. have shown how the effects of parasites vary with warming in a manner entirely consistent with general temperature dependence of host and parasite metabolism.
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Affiliation(s)
- Mary I. O’Connor
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
- * E-mail:
| | - Joanna R. Bernhardt
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
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5
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Cockrell ML, Bernhardt JR, Leslie HM. Recruitment, abundance, and predation on the blue mussel (
Mytilus edulis
) on northeastern estuarine rocky shores. Ecosphere 2015. [DOI: 10.1890/es14-00176.1] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Affiliation(s)
- Marcy L. Cockrell
- Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912 USA
| | - Joanna R. Bernhardt
- Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912 USA
| | - Heather M. Leslie
- Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912 USA
- Institute at Brown for Environment and Society, Brown University, Providence, Rhode Island 02912 USA
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6
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McKenzie E, Posner S, Tillmann P, Bernhardt JR, Howard K, Rosenthal A. Understanding the Use of Ecosystem Service Knowledge in Decision Making: Lessons from International Experiences of Spatial Planning. ACTA ACUST UNITED AC 2014. [DOI: 10.1068/c12292j] [Citation(s) in RCA: 127] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
The limited understanding of how ecosystem service knowledge (ESK) is used in decision making constrains our ability to learn from, replicate, and convey success stories. We explore use of ESK in decision making in three international cases: national coastal planning in Belize; regional marine spatial planning on Vancouver Island, Canada; and regional land-use planning on the island of Oahu, Hawaii. Decision makers, scientists, and stakeholders collaborated in each case to use a standardized ecosystem service accounting tool to inform spatial planning. We evaluate interview, survey, and observation data to assess evidence of ‘conceptual’, ‘strategic’, and ‘instrumental’ use of ESK. We find evidence of all modes: conceptual use dominates early planning, while strategic and instrumental uses occur iteratively in middle and late stages. Conceptual and strategic uses of ESK build understanding and compromise that facilitate instrumental use. We highlight attributes of ESK, characteristics of the process, and general conditions that appear to affect how knowledge is used. Meaningful participation, scenario development, and integration of local and traditional knowledge emerge as important for particular uses.
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Affiliation(s)
- Emily McKenzie
- World Wildlife Fund, 1250 24th St NW, Washington, DC 20037-1193, USA; and WWF-UK, Panda House, Weyside Park, Goldalming, Surrey GU7 1XR, England
| | - Stephen Posner
- Gund Institute for Ecological Economics, University of Vermont, 617 Main Street, Burlington, VT 05405, USA
| | - Patricia Tillmann
- World Wildlife Fund, 1250 24th St NW, Washington, DC 20037-1193, USA; and Center for Public Policy and Administration, University of Massachusetts Amherst, Gordon Hall 1st Floor, 418 North Pleasant Street, Amherst, MA 01002, USA
| | - Joanna R Bernhardt
- Department of Zoology and Biodiversity Research Centre, University of British Columbia, 6270 University Boulevard, Vancouver, British Columbia V6T 1ZT, Canada
| | - Kirsten Howard
- World Wildlife Fund, 1250 24th St NW, Washington, DC 20037-1193, USA; and School of Natural Resources and Environment, University of Michigan, 440 Church Street, Ann Arbor, MI 48109-1041, USA
| | - Amy Rosenthal
- World Wildlife Fund, 1250 24th St NW, Washington, DC 20037-1193, USA
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7
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Raymond CM, Singh GG, Benessaiah K, Bernhardt JR, Levine J, Nelson H, Turner NJ, Norton B, Tam J, Chan KMA. Ecosystem Services and Beyond: Using Multiple Metaphors to Understand Human–Environment Relationships. Bioscience 2013. [DOI: 10.1525/bio.2013.63.7.7] [Citation(s) in RCA: 190] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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8
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Abstract
Ecological resilience to climate change is a combination of resistance to increasingly frequent and severe disturbances, capacity for recovery and self-organization, and ability to adapt to new conditions. Here, we focus on three broad categories of ecological properties that underlie resilience: diversity, connectivity, and adaptive capacity. Diversity increases the variety of responses to disturbance and the likelihood that species can compensate for one another. Connectivity among species, populations, and ecosystems enhances capacity for recovery by providing sources of propagules, nutrients, and biological legacies. Adaptive capacity includes a combination of phenotypic plasticity, species range shifts, and microevolution. We discuss empirical evidence for how these ecological and evolutionary mechanisms contribute to the resilience of coastal marine ecosystems following climate change-related disturbances, and how resource managers can apply this information to sustain these systems and the ecosystem services they provide.
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Affiliation(s)
- Joanna R Bernhardt
- Department of Ecology and Evolutionary Biology, Brown University, RI, USA.
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