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Gao S, Yu W, Tian T, Lu Z, Zhang X, Li Q, Chen Y. A morphological traits dataset of Heteroptera sampled in biodiversity priority areas of Southwest China. Sci Data 2024; 11:694. [PMID: 38926452 PMCID: PMC11208582 DOI: 10.1038/s41597-024-03556-x] [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: 03/11/2024] [Accepted: 06/19/2024] [Indexed: 06/28/2024] Open
Abstract
Functional traits reveal the adaptive strategies of species to their environment, and are relevant to the formation of communities, the function of ecosystems, and the mechanisms underlying biodiversity. However, trait databases have not been established for most biological taxa, especially for insects, which encompass a vast number of species. This study measured the morphological traits of 307 species of Heteroptera insects collected in 2019 from the "Xishuangbanna Priority Conservation Area" in Southwest China using sweep netting and light trapping methods. This study provides a dataset for 307 Heteroptera species, comprising 34 morphometric measurements and 17 morphological traits. The dataset contains information on species sex, abundance, and the average, maximum, and minimum values of traits. This dataset facilitates an enhanced understanding of the functional traits and ecological associations of Heteroptera insects and offers opportunities for exploring a more diverse range of research topics.
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Affiliation(s)
- Shutong Gao
- Institute of Highland Forest Science, Chinese Academy of Forestry, Yunan Kunming, 650224, China
- Key Laboratory of Breeding and Utilization of Resource Insects of National Forestry and Grassland Administration, Yunnan Kunming, 650224, China
| | - Wenbo Yu
- Nanjing Forestry University, Jiangsu Nanjing, 210037, China
| | - Ting Tian
- Southwest Forestry University, Yunan Kunming, 650224, China
| | - Zhixing Lu
- Institute of Highland Forest Science, Chinese Academy of Forestry, Yunan Kunming, 650224, China
- Key Laboratory of Breeding and Utilization of Resource Insects of National Forestry and Grassland Administration, Yunnan Kunming, 650224, China
| | - Xiang Zhang
- Institute of Highland Forest Science, Chinese Academy of Forestry, Yunan Kunming, 650224, China
- Key Laboratory of Breeding and Utilization of Resource Insects of National Forestry and Grassland Administration, Yunnan Kunming, 650224, China
| | - Qiao Li
- Southwest Forestry University, Yunan Kunming, 650224, China
| | - Youqing Chen
- Institute of Highland Forest Science, Chinese Academy of Forestry, Yunan Kunming, 650224, China.
- Key Laboratory of Breeding and Utilization of Resource Insects of National Forestry and Grassland Administration, Yunnan Kunming, 650224, China.
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Mascorda-Cabre L, Hosegood P, Attrill MJ, Bridger D, Sheehan EV. Detecting sediment recovery below an offshore longline mussel farm: A macrobenthic Biological Trait Analysis (BTA). MARINE POLLUTION BULLETIN 2023; 195:115556. [PMID: 37738875 DOI: 10.1016/j.marpolbul.2023.115556] [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: 02/28/2023] [Revised: 09/12/2023] [Accepted: 09/15/2023] [Indexed: 09/24/2023]
Abstract
Expansion of bivalve aquaculture offshore reports lower environmental impacts compared to inshore farms. Taking a Before-After Control-Impact approach, this study presents the first functional diversity analysis and long-term Biological Trait Analysis (BTA) of infauna functional traits following the development of the United Kingdom's first large-scale, offshore longline mussel farm. Located in an area historically impacted by mobile fishing gear, farm sites had the greatest number of taxa and abundance compared to control sites. Functional diversity varied significantly across treatments (farm, near control, far control); while Functional Diversity, Richness, Divergence and Dispersion increased over time within the farm, Functional Evenness and Redundancy decreased. Bioturbation, body size, diet, feeding mode, life span, motility, sediment position, sensitivity and substrate type were chosen for Community-level Weighted Mean analysis, depicting the most frequently affected biological traits by shellfish farming. Farm sites developed a wider range of traits enhancing ecosystem function and habitat recovery after years of seabed damage. Outcomes support the use of functional diversity and BTA analysis to perform ecosystem assessment, supporting decision-makers implement policy and management.
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Affiliation(s)
- Llucia Mascorda-Cabre
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, Plymouth, UK.
| | - Phil Hosegood
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, Plymouth, UK
| | - Martin J Attrill
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, Plymouth, UK
| | - Danielle Bridger
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, Plymouth, UK
| | - Emma V Sheehan
- School of Biological and Marine Sciences, Faculty of Science and Engineering, University of Plymouth, Plymouth, UK
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Lam-Gordillo O, Lohrer AM, Hewitt J, Dittmann S. NZTD - The New Zealand Trait Database for shallow-water marine benthic invertebrates. Sci Data 2023; 10:502. [PMID: 37516737 PMCID: PMC10387081 DOI: 10.1038/s41597-023-02414-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 07/25/2023] [Indexed: 07/31/2023] Open
Abstract
Macrobenthic traits, for example feeding mode, life history, morphology, are increasingly used for determining responses of macrobenthic fauna to environmental change and influences on ecosystem functioning. Yet, trait information is scarce or non-existent in several parts of the world, such as New Zealand. This deficit makes collecting trait data a difficult and time-consuming task, limiting its potential use in trait-based assessments. Here, we present the New Zealand Trait Database (NZTD) for marine benthic invertebrates, the first comprehensive assessment of macrobenthic traits in New Zealand. The NZTD provides trait information for more than 700 macrobenthic taxa, categorised by 18 traits and 77 trait modalities. The NZTD includes five freely downloadable datasets, (1) the macrobenthic trait dataset, with outcomes from a fuzzy coding procedure, (2) the trait source information, (3) the references by taxa, (4) the full references list, and (5) the full taxa list used in the NZTD. Establishing the NZTD closes the trait knowledge gap in New Zealand and facilitates future research applying trait-based approaches to New Zealand's coastal macrofauna.
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Affiliation(s)
- Orlando Lam-Gordillo
- National Institute of Water and Atmospheric Research, Hamilton, New Zealand.
- College of Science and Engineering, Flinders University, Adelaide, Australia.
| | - Andrew M Lohrer
- National Institute of Water and Atmospheric Research, Hamilton, New Zealand
| | - Judi Hewitt
- National Institute of Water and Atmospheric Research, Hamilton, New Zealand
- Department of Statistics, University of Auckland, Auckland, New Zealand
| | - Sabine Dittmann
- College of Science and Engineering, Flinders University, Adelaide, Australia
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Shi Y, He Y, Shin PKS, Guo Y, Zhang G, Wen Y, Zhang G, Xu W, Sun J. Responses of biological traits of macrobenthic fauna to a eutrophication gradient in a semi-enclosed bay, China. MARINE ENVIRONMENTAL RESEARCH 2023; 189:106072. [PMID: 37385085 DOI: 10.1016/j.marenvres.2023.106072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/10/2023] [Accepted: 06/23/2023] [Indexed: 07/01/2023]
Abstract
The impacts of eutrophication on benthic ecological functions are of increasing concern in recent years. In order to assess the response of macrobenthic fauna to increasing eutrophication, two field sampling surveys were conducted during the summer (July-August 2020) and autumn (October-November 2020) from offshore, nearshore to estuarine sediments in Bohai Bay, northern China. Biological trait analysis was employed for the assessment of macrofaunal samples. The results indicated that there was an increase in the proportion of benthic burrowering or tube-dwelling sediment feeders and taxa with higher larval dispersal ability, but a decrease in the proportion of taxa showing high motility in areas with higher nutrient levels. Seasonal differences were also noted in the shift in biological traits, with a significantly lower similarity among the sampling areas in summer and a higher proportion of carnivorous taxa in autumn. The findings suggested that long-term disturbance can lead to the dominance of smaller body-sized benthic species and reduced sediment quality, impeding ecological recovery of benthic organisms under such harsh environment.
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Affiliation(s)
- Yifeng Shi
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Yixuan He
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Paul K S Shin
- Department of Biology and Chemistry, City University of Hong Kong, Kowloon, Hong Kong Special Administrative Region of China
| | - Yu Guo
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Guodong Zhang
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Yujian Wen
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Guicheng Zhang
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China
| | - Wenzhe Xu
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China.
| | - Jun Sun
- Research Centre for Indian Ocean Ecosystem, Tianjin University of Science and Technology, Tianjin, 300457, China; Tianjin Key Laboratory of Marine Resources and Chemistry, Tianjin University of Science and Technology, Tianjin, 300457, China; State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences (Wuhan), Wuhan, 430074, China; College of Marine Science and Technology, China University of Geosciences (Wuhan), Wuhan, 430074, China; Institute for Advanced Marine Research, China University of Geosciences, Guangzhou, 511462, China.
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Lam-Gordillo O, Mosley LM, Simpson SL, Welsh DT, Dittmann S. Loss of benthic macrofauna functional traits correlates with changes in sediment biogeochemistry along an extreme salinity gradient in the Coorong lagoon, Australia. MARINE POLLUTION BULLETIN 2022; 174:113202. [PMID: 34864464 DOI: 10.1016/j.marpolbul.2021.113202] [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: 10/06/2021] [Revised: 11/15/2021] [Accepted: 11/24/2021] [Indexed: 06/13/2023]
Abstract
Estuarine ecosystems are considered hotspots for productivity, biogeochemical cycling and biodiversity, however, their functions and services are threatened by several anthropogenic pressures. We investigated how abundance and diversity of benthic macrofauna, and their functional traits, correlate to sediment biogeochemistry and nutrient concentrations throughout an estuarine-to-hypersaline lagoon. Benthic communities and functional traits were significantly different across the sites analysed, with higher abundance and more traits expressed in the estuarine region. The results revealed that the benthic trait differences correlated with sediment biogeochemistry and nutrient concentrations in the system. The estuarine regions were dominated by high abundance of large burrowing and bioturbating macrofauna, promoting nutrient cycling and organic matter mineralisation, while these organisms were absent in the hypersaline lagoon, favouring accumulation of organic matter and nutrients in the sediment. The results highlight the importance of preserving healthy benthic communities to maintain ecosystem functioning and mitigate the potential impacts of eutrophication in estuarine ecosystems.
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Affiliation(s)
- Orlando Lam-Gordillo
- College of Science and Engineering, Flinders University, GPO Box 2100, Kaurna Country, Adelaide, SA 5001, Australia.
| | - Luke M Mosley
- School of Biological Sciences, University of Adelaide, Kaurna Country, Adelaide, Australia
| | - Stuart L Simpson
- Centre for Environmental Contaminants Research, CSIRO Land & Water, Tharawal Country, Lucas Heights, NSW 2234, Australia
| | - David T Welsh
- School of Environment, Griffith University, Yugambeh/Kombumerri Country, Queensland, Australia
| | - Sabine Dittmann
- College of Science and Engineering, Flinders University, GPO Box 2100, Kaurna Country, Adelaide, SA 5001, Australia
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Lam‐Gordillo O, Baring R, Dittmann S. Establishing the South Australian Macrobenthic Traits (SAMT) database: A trait classification for functional assessments. Ecol Evol 2020; 10:14372-14387. [PMID: 33552471 PMCID: PMC7771161 DOI: 10.1002/ece3.7040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/11/2020] [Accepted: 10/28/2020] [Indexed: 11/17/2022] Open
Abstract
Trait-based approaches are increasingly used as a proxy for understanding the relationship between biodiversity and ecosystem functioning. Macrobenthic fauna are considered one of the major providers of ecosystem functions in marine soft sediments; however, several gaps persist in the knowledge of their trait classification, limiting the potential use of functional assessments. While trait databases are available for the well-studied North Atlantic benthic fauna, no such trait classification system exists for Australia. Here, we present the South Australian Macrobenthic Traits (SAMT) database, the first comprehensive assessment of macrobenthic fauna traits in temperate Australian waters. The SAMT database includes 13 traits and 54 trait-modalities (e.g., life history, morphology, physiology, and behavior), and is based on records of macrobenthic fauna from South Australia. We provide trait information for more than 250 macrobenthic taxa, including outcomes from a fuzzy coding procedure, as well as an R package for using and analyzing the SAMT database. The establishment of the SAMT constitutes the foundation for a comprehensive macrobenthic trait database for the wider southern Australian region that could facilitate future research on functional perspectives, such as assessments of functional diversity and changes to ecosystem functioning.
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Affiliation(s)
| | - Ryan Baring
- College of Science and EngineeringFlinders UniversityAdelaideSAAustralia
| | - Sabine Dittmann
- College of Science and EngineeringFlinders UniversityAdelaideSAAustralia
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