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Hu S, Jin C, Liao R, Huang L, Zhou L, Long Y, Luo M, Jim CY, Hu W, Lin D, Chen S, Liu C, Jiang Y, Yang Y. Herbaceous ornamental plants with conspicuous aesthetic traits contribute to plant invasion risk in subtropical urban parks. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 347:119059. [PMID: 37769469 DOI: 10.1016/j.jenvman.2023.119059] [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: 04/18/2023] [Revised: 09/17/2023] [Accepted: 09/19/2023] [Indexed: 09/30/2023]
Abstract
Global ornamental horticulture is a major pathway for plant invasions, while urban parks are key areas for introducing non-native ornamental plants. To react appropriately to the challenges (e.g., biological invasion issues) and opportunities (e.g., urban ecosystem services) of herbaceous ornamentals in urban parks, we conducted a comprehensive invasive risk assessment in 363 urban parks in Chongqing, a subtropical city in China. The results found more than 1/3 of the 119 non-native species recorded in urban parks had a high invasion risk, and more than five species had potential invasion risk in 96.29% of the study area, indicating herbaceous ornamentals in urban parks are potentially a pool of invasive species that deserves attention. Moreover, humans have chosen herbaceous ornamentals with more aesthetic characteristics in urban parks, where exotic species were more prominent than native species in floral traits, such as more conspicuous flowers and longer flowering periods. The findings can inform urban plant management, provide an integrated approach to assessing herbaceous ornamentals' invasion risk, and offer insights into understanding the filtering effects of human aesthetic preferences.
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Affiliation(s)
- Siwei Hu
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - Cheng Jin
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - Ruiyan Liao
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - Li Huang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China; Institute of Ecology, College of Urban and Environmental Sciences and Key Laboratory for Earth Surface Processes, Peking University, Beijing, 100871, China.
| | - Lihua Zhou
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - Yuxiao Long
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - Min Luo
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - C Y Jim
- Department of Social Sciences, The Education University of Hong Kong, Lo Ping Road, Tai Po, Hong Kong Special Administrative Region, China.
| | - Wenhao Hu
- College of Landscape Architecture, Zhejiang A&F University, Hangzhou, 311300, China.
| | - Dunmei Lin
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - Shengbin Chen
- College of Ecology and Environment, Chengdu University of Technology, Chengdu, 610041, China.
| | - Changjing Liu
- College of Criminal Science and Technology, Nanjing Police University, Nanjing, 210023, China.
| | - Yanxue Jiang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
| | - Yongchuan Yang
- Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China; Joint International Research Laboratory of Green Building and Built Environment, Ministry of Education, Chongqing University, Chongqing, 400045, China.
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Lorenzo P, Morais MC. Strategies for the Management of Aggressive Invasive Plant Species. PLANTS (BASEL, SWITZERLAND) 2023; 12:2482. [PMID: 37447043 DOI: 10.3390/plants12132482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023]
Abstract
Current control methods for invasive alien plants (IAPs) have acceptable short-term outcomes but have proven to be unfeasible or unaffordable in the long-term or for large invaded areas. For these reasons, there is an urgent need to develop sustainable approaches to control or restrict the spread of aggressive IAPs. The use of waste derived from IAP control actions could contribute to motivating the long-term management and preservation of local biodiversity while promoting some economic returns for stakeholders. However, this strategy may raise some concerns that should be carefully addressed before its implementation. In this article, we summarize the most common methods to control IAPs, explaining their viability and limitations. We also compile the potential applications of IAP residues and discuss the risks and opportunities associated with this strategy.
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Affiliation(s)
- Paula Lorenzo
- University of Coimbra, Department of Life Sciences, Centre for Functional Ecology (CFE)-Science for People & the Planet, TERRA Associate Laboratory, 3000-456 Coimbra, Portugal
| | - Maria Cristina Morais
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Inov4Agro, Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production, University of Trás-of-Montes and Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal
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3
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Zhang X, Du H, Zhao Z, Wu Y, Cao Z, Zhou Y, Sun Y. Risk Assessment Model System for Aquatic Animal Introduction Based on Analytic Hierarchy Process (AHP). Animals (Basel) 2023; 13:2035. [PMID: 37370545 DOI: 10.3390/ani13122035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/13/2023] [Accepted: 06/17/2023] [Indexed: 06/29/2023] Open
Abstract
The spread of invasive species (IS) has the potential to upset ecosystem balances. In extreme cases, this can hinder economical utilization of both aquatic (fisheries) and terrestrial (agricultural) systems. As a result, many countries regard risk assessment of IS as an important process for solving the problem of biological invasion. Yet, some IS are purposefully introduced for what is seen as their potential economic benefits. Thus, conducting IS risk assessments and then formulating policies based on scientific information will allow protocols to be developed that can reduce problems associated with IS incursions, whether occurring purposefully or not. However, the risk assessment methods currently adopted by most countries use qualitative or semiquantitative methodologies. Currently, there is a mismatch between qualitative and quantitative assessments. Moreover, most assessment systems are for terrestrial animals. What is needed is an assessment system for aquatic animals; however, those currently available are relatively rudimentary. To fill this gap, we used the analytic hierarchy process (AHP) to build a risk assessment model system for aquatic IS. Our AHP has four primary indexes, twelve secondary indexes, and sixty tertiary indexes. We used this AHP to conduct quantitative risk assessments on five aquatic animals that are typically introduced in China, which have distinct biological characteristics, specific introduction purposes, and can represent different types of aquatic animals. The assessment results show that the risk grade for Pterygoplichthys pardalis is high; the risk grade for Macrobrachium rosenbergii, Crassostrea gigas, and Trachemys scripta elegans is medium; and the grade risk for Ambystoma mexicanum is low. Risk assessment of the introduction of aquatic animals using our AHP is effective, and it provides support for the introduction and healthy breeding of aquatic animals. Thus, the AHP model can provide a basis for decision-making risk management concerning the introduction of species.
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Affiliation(s)
- Xuxin Zhang
- Sanya Nanfan Research Institute, Hainan University, Sanya 572022, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Hehe Du
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Zhouzhou Zhao
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Ying Wu
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Zhenjie Cao
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Yongcan Zhou
- Sanya Nanfan Research Institute, Hainan University, Sanya 572022, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
| | - Yun Sun
- Sanya Nanfan Research Institute, Hainan University, Sanya 572022, China
- Collaborative Innovation Center of Marine Science and Technology, Hainan University, Haikou 570228, China
- Hainan Provincial Key Laboratory for Tropical Hydrobiology and Biotechnology, College of Marine Science, Hainan University, Haikou 570228, China
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Brevé NWP, Leuven RSEW, Buijse AD, Murk AJ, Venema J, Nagelkerke LAJ. The conservation paradox of critically endangered fish species: Trading alien sturgeons versus native sturgeon reintroduction in the Rhine-Meuse river delta. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 848:157641. [PMID: 35908701 DOI: 10.1016/j.scitotenv.2022.157641] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 06/29/2022] [Accepted: 07/22/2022] [Indexed: 06/15/2023]
Abstract
Sturgeons rank among the most endangered vertebrates in the world. Yet, the dwindling of wild sturgeon populations stands in stark contrast to their thriving status in aquaculture. Moreover, through the exotic pet trade, sturgeons are introduced outside their natural ranges where they may compete and hybridize with native species and transmit parasites and diseases. Here, we present an in-depth inventory of alien sturgeons in the delta of the rivers Rhine and Meuse, because several countries consider reintroduction of the native, critically endangered European sturgeon (Acipenser sturio). Our study is based on (a) an inventory of the industry of sturgeon cultivation; (b) reports on spread of alien sturgeons; (c) an analysis of pathways for introduction and spread; and (d) a risk assessment using the Harmonia+ protocol. In total, 11 alien Acipenseriformes (sturgeons and paddlefishes) were traded across an intricate network of >1000 distribution points in the Netherlands, Belgium, and Germany. Circa 2500 alien sturgeons were reported from 53 angling ponds and 64 other lakes and ponds, whereas circa 500 alien sturgeons were reported widespread across hydrologically connected waters. Species that posed the highest risk of introduction, establishment and spread are Siberian sturgeon (A. baerii), Russian sturgeon (A. gueldenstaedtii) and Sterlet (A. ruthenus). We recommend to implement stringent trade regulations and practical solutions to prevent spread of alien sturgeons. Measures must preferably be taken at the spatial scale of river basins.
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Affiliation(s)
- Niels W P Brevé
- Wageningen University, Aquaculture & Fisheries Group, De Elst 1, 6708 WD Wageningen, the Netherlands; Wageningen University, Marine Animal Ecology Group, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands; Sportvisserij Nederland, Royal Dutch Angling Alliance, Leijenseweg 115, 3721 BC Bilthoven, the Netherlands.
| | - Rob S E W Leuven
- Radboud University, Research Institute for Biology and Environmental Sciences, Department of Animal Ecology and Physiology, Heyendaalseweg 135, 6525 AJ Nijmegen, the Netherlands; Netherlands Centre of Expertise on Exotic Species (NEC-E), Toernooiveld 1, 6525 ED Nijmegen, the Netherlands
| | - Anthonie D Buijse
- Wageningen University, Aquaculture & Fisheries Group, De Elst 1, 6708 WD Wageningen, the Netherlands; DELTARES, Department of Freshwater Ecology & Water Quality, Boussinesqweg 1, 2629 HV Delft, the Netherlands
| | - AlberTinka J Murk
- Wageningen University, Marine Animal Ecology Group, Droevendaalsesteeg 1, 6708 PB Wageningen, the Netherlands
| | - Jorrit Venema
- VAART software B.V., Berkelstraat 76, 3522 ER Utrecht, the Netherlands
| | - Leopold A J Nagelkerke
- Wageningen University, Aquaculture & Fisheries Group, De Elst 1, 6708 WD Wageningen, the Netherlands
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Egawa C, Matsuhashi S. Interpreting expert-judged priorities of invasive alien plant species by ex post weed risk scoring: A study in Japan. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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6
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Vimercati G, Probert AF, Volery L, Bernardo-Madrid R, Bertolino S, Céspedes V, Essl F, Evans T, Gallardo B, Gallien L, González-Moreno P, Grange MC, Hui C, Jeschke JM, Katsanevakis S, Kühn I, Kumschick S, Pergl J, Pyšek P, Rieseberg L, Robinson TB, Saul WC, Sorte CJB, Vilà M, Wilson JRU, Bacher S. The EICAT+ framework enables classification of positive impacts of alien taxa on native biodiversity. PLoS Biol 2022; 20:e3001729. [PMID: 35972940 PMCID: PMC9380921 DOI: 10.1371/journal.pbio.3001729] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Species introduced through human-related activities beyond their native range, termed alien species, have various impacts worldwide. The IUCN Environmental Impact Classification for Alien Taxa (EICAT) is a global standard to assess negative impacts of alien species on native biodiversity. Alien species can also positively affect biodiversity (for instance, through food and habitat provisioning or dispersal facilitation) but there is currently no standardized and evidence-based system to classify positive impacts. We fill this gap by proposing EICAT+, which uses 5 semiquantitative scenarios to categorize the magnitude of positive impacts, and describes underlying mechanisms. EICAT+ can be applied to all alien taxa at different spatial and organizational scales. The application of EICAT+ expands our understanding of the consequences of biological invasions and can inform conservation decisions.
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Affiliation(s)
- Giovanni Vimercati
- Department of Biology, University of Fribourg, Fribourg, Switzerland
- * E-mail:
| | - Anna F. Probert
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Lara Volery
- Department of Biology, University of Fribourg, Fribourg, Switzerland
| | - Ruben Bernardo-Madrid
- Department of Integrated Biology, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain
| | - Sandro Bertolino
- Department of Life Sciences and Systems Biology, University of Turin, Torino, Italy
| | - Vanessa Céspedes
- Laboratory of Aquatic Ecology, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain
| | - Franz Essl
- Bioinvasions, Global Change, Macroecology-Group, Department of Botany and Biodiversity Research, University of Vienna, Vienna, Austria
| | - Thomas Evans
- Ecologie Systématique et Evolution, Université Paris-Saclay, Gif-sur-Yvette, France
- Institute of Biology, Freie Universität Berlin, Berlin, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | | | - Laure Gallien
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | | | | | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch, South Africa
- Biodiversity Informatics Unit, African Institute for Mathematical Sciences, Cape Town, South Africa
| | - Jonathan M. Jeschke
- Institute of Biology, Freie Universität Berlin, Berlin, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | | | - Ingolf Kühn
- Department Community Ecology, Helmholtz Centre for Environmental Research—UFZ, Halle, Germany
- Department of Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Sabrina Kumschick
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
- Kirstenbosch Research Centre, South African National Biodiversity Institute, Cape Town, South Africa
| | - Jan Pergl
- Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic
| | - Petr Pyšek
- Department of Invasion Ecology, Institute of Botany, Czech Academy of Sciences, Průhonice, Czech Republic
- Department of Ecology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Loren Rieseberg
- Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
| | - Tamara B. Robinson
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
| | - Wolf-Christian Saul
- Institute of Biology, Freie Universität Berlin, Berlin, Germany
- Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
- Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin, Germany
| | - Cascade J. B. Sorte
- Department of Ecology and Evolutionary Biology, University of California, Irvine, California, United States of America
| | - Montserrat Vilà
- Department of Integrated Biology, Estación Biológica de Doñana (EBD), CSIC, Sevilla, Spain
- Department of Plant Biology and Ecology, University of Sevilla, Sevilla, Spain
| | - John R. U. Wilson
- Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, Stellenbosch, South Africa
- Kirstenbosch Research Centre, South African National Biodiversity Institute, Cape Town, South Africa
| | - Sven Bacher
- Department of Biology, University of Fribourg, Fribourg, Switzerland
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Bitani N, Shivambu TC, Shivambu N, Downs CT. An impact assessment of alien invasive plants in South Africa generally dispersed by native avian species. NEOBIOTA 2022. [DOI: 10.3897/neobiota.74.83342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Invasive alien plant species have been identified as a major threat to biodiversity and the relationship with native avian dispersers may increase their invasion potential. The impact of invasive plant species needs to be quantified using comparable assessment tools across different habitats and species to allocate limited resources to high-priority species. Here, we used the Generic Impact Scoring System (GISS) to assess the impacts of 16 fleshy-fruited alien invasive plant species in South Africa generally dispersed by native avian species. The results showed that fleshy-fruited invasive species have both environmental and socio-economic impacts. The cumulated impact scores for lantana (Lantana camara) and the tree of heaven (Ailanthus altissima) were the highest, with scores of 42 and 32, respectively. Some species, such as white mulberry (Morus alba), camphor tree (Cinnamomum camphora), American bramble (Rubus cuneifolius) and Brazilian pepper tree (Schinus terebinthifolius), had low overall impact scores of 8, 18, 14 and 16, respectively, but scored the maximum impact of 5 for certain mechanisms. Environmental impacts of fleshy-fruited invasive plant species had a high impact magnitude through effects on the ecosystem and vegetation. Socio-economic impacts were mainly through effects on forest production, agriculture and human health. Species with large crop sizes, small seeds and fruit sizes had higher environmental and socio-economic impact magnitude. The information generated in this study is important for guiding resource allocation and preventing the uncontrolled introduction of invasive species in South Africa. The impact of the fleshy-fruited invasive species transcended sectors and, therefore, effective management of invasive species will require the collaboration of multiple and inter-sectoral stakeholders in South Africa.
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van Rees CB, Hand BK, Carter SC, Bargeron C, Cline TJ, Daniel W, Ferrante JA, Gaddis K, Hunter ME, Jarnevich CS, McGeoch MA, Morisette JT, Neilson ME, Roy HE, Rozance MA, Sepulveda A, Wallace RD, Whited D, Wilcox T, Kimball JS, Luikart G. A framework to integrate innovations in invasion science for proactive management. Biol Rev Camb Philos Soc 2022; 97:1712-1735. [PMID: 35451197 DOI: 10.1111/brv.12859] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 03/29/2022] [Accepted: 03/30/2022] [Indexed: 11/26/2022]
Abstract
Invasive alien species (IAS) are a rising threat to biodiversity, national security, and regional economies, with impacts in the hundreds of billions of U.S. dollars annually. Proactive or predictive approaches guided by scientific knowledge are essential to keeping pace with growing impacts of invasions under climate change. Although the rapid development of diverse technologies and approaches has produced tools with the potential to greatly accelerate invasion research and management, innovation has far outpaced implementation and coordination. Technological and methodological syntheses are urgently needed to close the growing implementation gap and facilitate interdisciplinary collaboration and synergy among evolving disciplines. A broad review is necessary to demonstrate the utility and relevance of work in diverse fields to generate actionable science for the ongoing invasion crisis. Here, we review such advances in relevant fields including remote sensing, epidemiology, big data analytics, environmental DNA (eDNA) sampling, genomics, and others, and present a generalized framework for distilling existing and emerging data into products for proactive IAS research and management. This integrated workflow provides a pathway for scientists and practitioners in diverse disciplines to contribute to applied invasion biology in a coordinated, synergistic, and scalable manner.
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Affiliation(s)
- Charles B van Rees
- Flathead Lake Biological Station, University of Montana, 32125 Bio Station Lane, Polson, MT, 59860, U.S.A
| | - Brian K Hand
- Flathead Lake Biological Station, University of Montana, 32125 Bio Station Lane, Polson, MT, 59860, U.S.A
| | - Sean C Carter
- Numerical Terradynamic Simulation Group, University of Montana, ISB 415, Missoula, MT, 59812, U.S.A
| | - Chuck Bargeron
- Center for Invasive Species and Ecosystem Health, University of Georgia, 4601 Research Way, Tifton, GA, 31793, U.S.A
| | - Timothy J Cline
- U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way STE 2, Bozeman MT 59717 & 320 Grinnel Drive, West Glacier, MT, 59936, U.S.A
| | - Wesley Daniel
- U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, U.S.A
| | - Jason A Ferrante
- U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, U.S.A
| | - Keith Gaddis
- NASA Biological Diversity and Ecological Forecasting Programs, 300 E St. SW, Washington, DC, 20546, U.S.A
| | - Margaret E Hunter
- U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, U.S.A
| | - Catherine S Jarnevich
- U.S. Geological Survey, Fort Collins Science Center, 2150 Centre Avenue Bldg C, Fort Collins, CO, 80526, U.S.A
| | - Melodie A McGeoch
- Department of Environment and Genetics, La Trobe University, Plenty Road & Kingsbury Drive, Bundoora, Victoria, 3086, Australia
| | - Jeffrey T Morisette
- U.S. Forest Service Rocky Mountain Research Station, 26 Fort Missoula Road, Missoula, 59804, MT, U.S.A
| | - Matthew E Neilson
- U.S. Geological Survey, Wetland and Aquatic Research Center, 7920 NW 71st Street, Gainesville, FL, 32653, U.S.A
| | - Helen E Roy
- UK Centre for Ecology & Hydrology, MacLean Building, Benson Lane, Crowmarsh Gifford, OX10 8BB, U.K
| | - Mary Ann Rozance
- Northwest Climate Adaptation Science Center, University of Washington, Box 355674, Seattle, WA, 98195, U.S.A
| | - Adam Sepulveda
- U.S. Forest Service Rocky Mountain Research Station, 26 Fort Missoula Road, Missoula, 59804, MT, U.S.A
| | - Rebekah D Wallace
- Center for Invasive Species and Ecosystem Health, University of Georgia, 4601 Research Way, Tifton, GA, 31793, U.S.A
| | - Diane Whited
- Flathead Lake Biological Station, University of Montana, 32125 Bio Station Lane, Polson, MT, 59860, U.S.A
| | - Taylor Wilcox
- U.S. Forest Service Rocky Mountain Research Station, 26 Fort Missoula Road, Missoula, 59804, MT, U.S.A
| | - John S Kimball
- Numerical Terradynamic Simulation Group, University of Montana, ISB 415, Missoula, MT, 59812, U.S.A
| | - Gordon Luikart
- Flathead Lake Biological Station, University of Montana, 32125 Bio Station Lane, Polson, MT, 59860, U.S.A
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Bindewald A, Brundu G, Schueler S, Starfinger U, Bauhus J, Lapin K. Site-specific risk assessment enables trade-off analysis of non-native tree species in European forests. Ecol Evol 2021; 11:18089-18110. [PMID: 35003660 PMCID: PMC8717284 DOI: 10.1002/ece3.8407] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 10/27/2021] [Accepted: 11/12/2021] [Indexed: 12/23/2022] Open
Abstract
Non-native tree species (NNT) are used in European forestry for many purposes including their growth performance, valuable timber, and resistance to drought and pest or pathogen damage. Yet, cultivating NNT may pose risks to biodiversity, ecosystem functioning, and the provisioning of ecosystem services, and several NNT have been classified as invasive in Europe. Typically, such classifications are based on risk assessments, which do not adequately consider site-specific variations in impacts of the NNT or the extent of affected areas. Here, we present a new methodological framework that facilitates both mitigating risks associated with NNT and taking advantage of their ecosystem services. The framework is based on a stratified assessment of risks posed by NNT which distinguishes between different sites and considers effectiveness of available management strategies to control negative effects. The method can be applied to NNT that already occur in a given area or those NNT that may establish in future. The framework consists of eight steps and is partly based on existing knowledge. If adequate site-specific knowledge on NNT does not yet exist, new evidence on the risks should be obtained, for example, by collecting and analyzing monitoring data or modeling the potential distribution of NNT. However, limitations remain in the application of this method, and we propose several policy and management recommendations which are required to improve the responsible use of NNT.
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Affiliation(s)
- Anja Bindewald
- Department of Forest ConservationForest Research Institute of Baden‐Württemberg (FVA)FreiburgGermany
- Chair of SilvicultureUniversity of FreiburgFreiburgGermany
| | - Giuseppe Brundu
- Department of Agricultural SciencesUniversity of SassariSassariItaly
| | | | - Uwe Starfinger
- Julius Kühn‐Institut (JKI)Federal Research Centre for Cultivated PlantsBraunschweigGermany
| | - Jürgen Bauhus
- Chair of SilvicultureUniversity of FreiburgFreiburgGermany
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Arasumani M, Bunyan M, Robin VV. Opportunities and challenges in using remote sensing for invasive tree species management, and in the identification of restoration sites in tropical montane grasslands. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 280:111759. [PMID: 33298397 DOI: 10.1016/j.jenvman.2020.111759] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 06/12/2023]
Abstract
Tropical montane grasslands (TMG) support biodiverse and endemic taxa and provide vital ecosystem services to downstream communities. Nevertheless, invasive alien tree species across the world have threatened tropical grasslands and grassland endemic species. In India, TMG in the Shola Sky Islands of the Western Ghats have been reduced due to exotic tree invasions (Acacias, Pines, and Eucalyptus species). The loss of grassland habitat has, in turn, reduced the range sizes of species endemic to grasslands (plants, birds, amphibians, and mammals), driving some populations to local extinction. Grassland conversion to exotic trees has also impacted ecosystem services in the Western Ghats. Conserving existing grassland and restoring invaded habitat is critical to reverse these losses. This research focused on identifying grassland restoration sites using satellite images with a high spatial resolution (RapidEye). We used an object-oriented Random Forest classification to map the area for grassland restoration. We identified an area of 254 sq. km. as suitable for grassland restoration and an area of 362 sq. km. for grassland conservation and preventing invasion by exotic tree species. For restoration, we recommend careful removal of young and isolated exotic trees at the invasion front and restoring grasslands, instead of removing dense stands of mature exotic trees. Although our limited data indicate that areas with low fire frequency tend to be invaded, and areas invaded by exotic trees tend to burn at higher intensities, we recommend a broader investigation of these patterns to critically examine a potential role for the use of fire in invasive species management. We assume that removing exotic tree species in the identified restoration sites and restoring the grassland will help recover lost habitat and ensure the viability of indigenous and endemic species and increase streamflow.
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Affiliation(s)
- M Arasumani
- Indian Institute of Science Education and Research (IISER) Tirupati, Transit Campus, Karakambadi Road, Andhra Pradesh, 517507, India.
| | - Milind Bunyan
- Ashoka Trust for Research in Ecology and the Environment (ATREE), Royal Enclave, Sriramapura, Bangalore, Karnataka, 560064, India
| | - V V Robin
- Indian Institute of Science Education and Research (IISER) Tirupati, Transit Campus, Karakambadi Road, Andhra Pradesh, 517507, India
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Goldsmit J, McKindsey CW, Stewart DB, Howland KL. Screening for High-Risk Marine Invaders in the Hudson Bay Region, Canadian Arctic. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.627497] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
The Canadian Arctic is receiving increased ship traffic, largely related to non-renewable resource exploitation and facilitated by climate change. This traffic, much of which arrives in ballast, increases opportunities for the spread of aquatic invasive species (AIS). One of the regions at greatest risk is the Hudson Bay Complex. A horizon scanning exercise was conducted using the semi-quantitative Canadian Marine Invasive Screening Tool (CMIST) to identify AIS of potential concern to the region. This screening-level risk assessment tool, uses documented information to answer questions related to the likelihood and impact of invasion. Species were analyzed by ecological categories (zoobenthos, zooplankton, phytobenthos) and taxonomic groups, with 14 species (out of 31) identified as being of highest relative risk. Crabs, mollusks, macrozooplankton and macroalgae were the taxonomic groups with the highest overall risk scores, through a combination of higher likelihood of invasion and impact scores relative to other taxa. Species that may pose the highest AIS risk are currently mainly distributed on the east and west coasts of the North Atlantic Ocean. Their distributions coincide with source ports and shipping pathways that are well connected to the Hudson Bay Complex. This first horizon scan to identify potential high-risk AIS for the Canadian Arctic incorporated two novel approaches into the CMIST analysis: i) use of the tool to assess two new ecological categories (phytobenthos and zooplankton), and ii) use of averaged CMIST results to interpret general risk patterns of ecological categories. This study is also the first to use CMIST scores to highlight common source regions and connected ports for the highest risk species. In a scenario of climate change and increasing ship traffic, this information can be used to support management actions such as the creation of watch lists to inform adaptive management for preventing AIS establishment, and mitigating associated environmental and economic impacts.
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