Global effects of non‐native tree species on multiple ecosystem services
ABSTRACT Non‐native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well‐being, such as timber provision, erosion control or ornamental value; yet NNTs can also produce undesired effects, such as fire proneness or pollen allergenicity....
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| Published in: | Biological reviews of the Cambridge Philosophical Society Vol. 94; no. 4; pp. 1477 - 1501 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford, UK
Blackwell Publishing Ltd
01.08.2019
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| Subjects: | |
| ISSN: | 1464-7931, 1469-185X, 1469-185X |
| Online Access: | Get full text |
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| Abstract | ABSTRACT
Non‐native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well‐being, such as timber provision, erosion control or ornamental value; yet NNTs can also produce undesired effects, such as fire proneness or pollen allergenicity. Despite the variety of effects that NNTs have on multiple ecosystem services, a global quantitative assessment of their costs and benefits is still lacking. Such information is critical for decision‐making, management and sustainable exploitation of NNTs. We present here a global assessment of NNT effects on the three main categories of ecosystem services, including regulating (RES), provisioning (PES) and cultural services (CES), and on an ecosystem disservice (EDS), i.e. pollen allergenicity. By searching the scientific literature, country forestry reports, and social media, we compiled a global data set of 1683 case studies from over 125 NNT species, covering 44 countries, all continents but Antarctica, and seven biomes. Using different meta‐analysis techniques, we found that, while NNTs increase most RES (e.g. climate regulation, soil erosion control, fertility and formation), they decrease PES (e.g. NNTs contribute less than native trees to global timber provision). Also, they have different effects on CES (e.g. increase aesthetic values but decrease scientific interest), and no effect on the EDS considered. NNT effects on each ecosystem (dis)service showed a strong context dependency, varying across NNT types, biomes and socio‐economic conditions. For instance, some RES are increased more by NNTs able to fix atmospheric nitrogen, and when the ecosystem is located in low‐latitude biomes; some CES are increased more by NNTs in less‐wealthy countries or in countries with higher gross domestic products. The effects of NNTs on several ecosystem (dis)services exhibited some synergies (e.g. among soil fertility, soil formation and climate regulation or between aesthetic values and pollen allergenicity), but also trade‐offs (e.g. between fire regulation and soil erosion control). Our analyses provide a quantitative understanding of the complex synergies, trade‐offs and context dependencies involved for the effects of NNTs that is essential for attaining a sustained provision of ecosystem services. |
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| AbstractList | Non‐native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well‐being, such as timber provision, erosion control or ornamental value; yet NNTs can also produce undesired effects, such as fire proneness or pollen allergenicity. Despite the variety of effects that NNTs have on multiple ecosystem services, a global quantitative assessment of their costs and benefits is still lacking. Such information is critical for decision‐making, management and sustainable exploitation of NNTs. We present here a global assessment of NNT effects on the three main categories of ecosystem services, including regulating (RES), provisioning (PES) and cultural services (CES), and on an ecosystem disservice (EDS), i.e. pollen allergenicity. By searching the scientific literature, country forestry reports, and social media, we compiled a global data set of 1683 case studies from over 125 NNT species, covering 44 countries, all continents but Antarctica, and seven biomes. Using different meta‐analysis techniques, we found that, while NNTs increase most RES (e.g. climate regulation, soil erosion control, fertility and formation), they decrease PES (e.g. NNTs contribute less than native trees to global timber provision). Also, they have different effects on CES (e.g. increase aesthetic values but decrease scientific interest), and no effect on the EDS considered. NNT effects on each ecosystem (dis)service showed a strong context dependency, varying across NNT types, biomes and socio‐economic conditions. For instance, some RES are increased more by NNTs able to fix atmospheric nitrogen, and when the ecosystem is located in low‐latitude biomes; some CES are increased more by NNTs in less‐wealthy countries or in countries with higher gross domestic products. The effects of NNTs on several ecosystem (dis)services exhibited some synergies (e.g. among soil fertility, soil formation and climate regulation or between aesthetic values and pollen allergenicity), but also trade‐offs (e.g. between fire regulation and soil erosion control). Our analyses provide a quantitative understanding of the complex synergies, trade‐offs and context dependencies involved for the effects of NNTs that is essential for attaining a sustained provision of ecosystem services. Non-native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well-being, such as timber provision, erosion control or ornamental value; yet NNTs can also produce undesired effects, such as fire proneness or pollen allergenicity. Despite the variety of effects that NNTs have on multiple ecosystem services, a global quantitative assessment of their costs and benefits is still lacking. Such information is critical for decision-making, management and sustainable exploitation of NNTs. We present here a global assessment of NNT effects on the three main categories of ecosystem services, including regulating (RES), provisioning (PES) and cultural services (CES), and on an ecosystem disservice (EDS), i.e. pollen allergenicity. By searching the scientific literature, country forestry reports, and social media, we compiled a global data set of 1683 case studies from over 125 NNT species, covering 44 countries, all continents but Antarctica, and seven biomes. Using different meta-analysis techniques, we found that, while NNTs increase most RES (e.g. climate regulation, soil erosion control, fertility and formation), they decrease PES (e.g. NNTs contribute less than native trees to global timber provision). Also, they have different effects on CES (e.g. increase aesthetic values but decrease scientific interest), and no effect on the EDS considered. NNT effects on each ecosystem (dis)service showed a strong context dependency, varying across NNT types, biomes and socio-economic conditions. For instance, some RES are increased more by NNTs able to fix atmospheric nitrogen, and when the ecosystem is located in low-latitude biomes; some CES are increased more by NNTs in less-wealthy countries or in countries with higher gross domestic products. The effects of NNTs on several ecosystem (dis)services exhibited some synergies (e.g. among soil fertility, soil formation and climate regulation or between aesthetic values and pollen allergenicity), but also trade-offs (e.g. between fire regulation and soil erosion control). Our analyses provide a quantitative understanding of the complex synergies, trade-offs and context dependencies involved for the effects of NNTs that is essential for attaining a sustained provision of ecosystem services.Non-native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well-being, such as timber provision, erosion control or ornamental value; yet NNTs can also produce undesired effects, such as fire proneness or pollen allergenicity. Despite the variety of effects that NNTs have on multiple ecosystem services, a global quantitative assessment of their costs and benefits is still lacking. Such information is critical for decision-making, management and sustainable exploitation of NNTs. We present here a global assessment of NNT effects on the three main categories of ecosystem services, including regulating (RES), provisioning (PES) and cultural services (CES), and on an ecosystem disservice (EDS), i.e. pollen allergenicity. By searching the scientific literature, country forestry reports, and social media, we compiled a global data set of 1683 case studies from over 125 NNT species, covering 44 countries, all continents but Antarctica, and seven biomes. Using different meta-analysis techniques, we found that, while NNTs increase most RES (e.g. climate regulation, soil erosion control, fertility and formation), they decrease PES (e.g. NNTs contribute less than native trees to global timber provision). Also, they have different effects on CES (e.g. increase aesthetic values but decrease scientific interest), and no effect on the EDS considered. NNT effects on each ecosystem (dis)service showed a strong context dependency, varying across NNT types, biomes and socio-economic conditions. For instance, some RES are increased more by NNTs able to fix atmospheric nitrogen, and when the ecosystem is located in low-latitude biomes; some CES are increased more by NNTs in less-wealthy countries or in countries with higher gross domestic products. The effects of NNTs on several ecosystem (dis)services exhibited some synergies (e.g. among soil fertility, soil formation and climate regulation or between aesthetic values and pollen allergenicity), but also trade-offs (e.g. between fire regulation and soil erosion control). Our analyses provide a quantitative understanding of the complex synergies, trade-offs and context dependencies involved for the effects of NNTs that is essential for attaining a sustained provision of ecosystem services. ABSTRACT Non‐native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well‐being, such as timber provision, erosion control or ornamental value; yet NNTs can also produce undesired effects, such as fire proneness or pollen allergenicity. Despite the variety of effects that NNTs have on multiple ecosystem services, a global quantitative assessment of their costs and benefits is still lacking. Such information is critical for decision‐making, management and sustainable exploitation of NNTs. We present here a global assessment of NNT effects on the three main categories of ecosystem services, including regulating (RES), provisioning (PES) and cultural services (CES), and on an ecosystem disservice (EDS), i.e. pollen allergenicity. By searching the scientific literature, country forestry reports, and social media, we compiled a global data set of 1683 case studies from over 125 NNT species, covering 44 countries, all continents but Antarctica, and seven biomes. Using different meta‐analysis techniques, we found that, while NNTs increase most RES (e.g. climate regulation, soil erosion control, fertility and formation), they decrease PES (e.g. NNTs contribute less than native trees to global timber provision). Also, they have different effects on CES (e.g. increase aesthetic values but decrease scientific interest), and no effect on the EDS considered. NNT effects on each ecosystem (dis)service showed a strong context dependency, varying across NNT types, biomes and socio‐economic conditions. For instance, some RES are increased more by NNTs able to fix atmospheric nitrogen, and when the ecosystem is located in low‐latitude biomes; some CES are increased more by NNTs in less‐wealthy countries or in countries with higher gross domestic products. The effects of NNTs on several ecosystem (dis)services exhibited some synergies (e.g. among soil fertility, soil formation and climate regulation or between aesthetic values and pollen allergenicity), but also trade‐offs (e.g. between fire regulation and soil erosion control). Our analyses provide a quantitative understanding of the complex synergies, trade‐offs and context dependencies involved for the effects of NNTs that is essential for attaining a sustained provision of ecosystem services. |
| Author | Kandert, Susanne Raymundo, Maia Julian, Kahua Porta, Nicola La Zenni, Rafael D. Torres, Agostina Marchante, Hélia Mayfield, Margaret M. Saldaña, Asunción Vicente, Joana R. Loo, Marcela Parker, Ingrid M. Bellingham, Peter J. Monteverdi, M. Cristina Godoy, Oscar Aponte, Cristina Vilà, Montserrat DiManno, Nicole Richardson, David M. Ylioja, Tiina Alonso, Álvaro Potgieter, Luke J. Maule, Hamish G. Peltzer, Duane A. Rayome, Donald Chiuffo, Mariana C. Shackleton, Ross T. Reisman‐Berman, Orna Castro‐Díez, Pilar Bayón, Álvaro Roos, Ruben E. Vaz, Ana Sofia Ostertag, Rebecca Trudgen, Melinda Silva, Joaquim S. Metcalfe, Daniel Urban, Josef Núñez, Martín A. |
| AuthorAffiliation | 7 School of Ecosystem and Forest Sciences, Faculty of Science The University of Melbourne Richmond Victoria 3121 Australia 21 USDA Forest Service, Institute of Pacific Islands Forestry Hilo HI U.S.A 5 Centre for Applied Ecology “Prof. Baeta Neves” (InBIO‐CEABN), School of Agriculture University of Lisbon PT1349‐017 Lisbon Portugal 18 CREA Research Centre for Foresty and Wood, Viale Santa Margherita 80 52100 Arezzo Italy 6 Department of Botany and Biodiversity Research University of Vienna 1030 Vienna Austria 16 The University of Queensland, School of Biological Sciences Brisbane Queensland 4072 Australia 24 CSIRO Land & Water Wembley Western Australia 6913 Australia 23 Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway 1 Departamento de Ciencias de la Vida, Facultad de Ciencias Universidad de Alcalá E‐28805 Alcalá de Henares Spain 29 Natural Resources Institute Finland (Luke) FI‐00791 Helsinki Finland 31 Departamento de Biología, Fac |
| AuthorAffiliation_xml | – name: 6 Department of Botany and Biodiversity Research University of Vienna 1030 Vienna Austria – name: 18 CREA Research Centre for Foresty and Wood, Viale Santa Margherita 80 52100 Arezzo Italy – name: 21 USDA Forest Service, Institute of Pacific Islands Forestry Hilo HI U.S.A – name: 27 Siberian Federal University, Krasnoyarsk Krasnoyarsk 660041 Russia – name: 1 Departamento de Ciencias de la Vida, Facultad de Ciencias Universidad de Alcalá E‐28805 Alcalá de Henares Spain – name: 29 Natural Resources Institute Finland (Luke) FI‐00791 Helsinki Finland – name: 4 College of Agriculture, Polytechnic Institute of Coimbra 3045‐601 Coimbra Portugal – name: 11 Department of Biology University of Hawai'i at Hilo Hilo HI 96720 U.S.A – name: 5 Centre for Applied Ecology “Prof. Baeta Neves” (InBIO‐CEABN), School of Agriculture University of Lisbon PT1349‐017 Lisbon Portugal – name: 28 Laboratory of Applied Ecology, CITAB – Centre for the Research and Technology of Agro‐Environment and Biological Sciences University of Trás‐os‐Montes e Alto Douro Vila Real Portugal – name: 12 University of Göttingen 37073 Göttingen Germany – name: 16 The University of Queensland, School of Biological Sciences Brisbane Queensland 4072 Australia – name: 8 Department of Integrative Ecology Estación Biológica de Doñana (EBD‐CSIC) E‐41092 Sevilla Spain – name: 23 Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway – name: 9 Landcare Research Lincoln 7640 New Zealand – name: 7 School of Ecosystem and Forest Sciences, Faculty of Science The University of Melbourne Richmond Victoria 3121 Australia – name: 15 Centre for Functional Ecology, Department of Life Sciences University of Coimbra 3000‐456 Coimbra Portugal – name: 20 Centre for Invasion Biology, Department of Botany and Zoology Stellenbosch University Matieland 7602 South Africa – name: 3 Faculdade de Ciências Universidade do Porto PT4169‐007 Porto Portugal – name: 26 Faculty of Forestry and Wood Technology Mendel University in Brno 613 00 Brno‐sever Czech Republic – name: 25 School of Biological Sciences University of Western Australia Crawley Western Australia 6009 Australia – name: 31 Departamento de Biología, Facultad de Cc. del Mar y Ambientales Instituto Universitario de Investigación Marina (INMAR), Campus de Excelencia Internacional del Mar CEIMAR, Universidad de Cádiz E‐11510 Puerto Real Spain – name: 10 Grupo de Ecología de Invasiones, INIBIOMA Universidad Nacional del Comahue, CONICET Avenida de los Pioneros 2350 San Carlos de Bariloche Río Negro Argentina – name: 14 MOUNTFOR Project Centre, European Forest Institute 38010 Trento Italy – name: 22 French Associates Institute for Agriculture and Biotechnology of Drylands. Blaustein Institutes for Desert Research Ben Gurion University of the Negev Beersheba 84990 Israel – name: 19 Department of Ecology and Evolutionary Biology University of California Santa Cruz CA 95060 U.S.A – name: 30 Setor de Ecologia, Departamento de Biologia Universidade Federal de Lavras Lavras MG 37200‐000 Brazil – name: 2 Research Network in Biodiversity and Evolutionary Biology, Research Centre in Biodiversity and Genetic Resources (InBIO‐CIBIO) Universidade do Porto PT4485‐661 Vairão Portugal – name: 13 IASMA Research and Innovation Centre, Fondazione Edmund Mach 38010 Trento Italy – name: 24 CSIRO Land & Water Wembley Western Australia 6913 Australia – name: 17 CSIRO Land and Water, Ecosciences Precinct Dutton Park Queensland 4102 Australia |
| Author_xml | – sequence: 1 givenname: Pilar orcidid: 0000-0002-4841-5198 surname: Castro‐Díez fullname: Castro‐Díez, Pilar email: mpilar.castro@uah.es organization: Universidad de Alcalá – sequence: 2 givenname: Ana Sofia surname: Vaz fullname: Vaz, Ana Sofia organization: Universidade do Porto – sequence: 3 givenname: Joaquim S. surname: Silva fullname: Silva, Joaquim S. organization: University of Lisbon – sequence: 4 givenname: Marcela surname: Loo fullname: Loo, Marcela organization: University of Vienna – sequence: 5 givenname: Álvaro surname: Alonso fullname: Alonso, Álvaro organization: Universidad de Alcalá – sequence: 6 givenname: Cristina surname: Aponte fullname: Aponte, Cristina organization: The University of Melbourne – sequence: 7 givenname: Álvaro surname: Bayón fullname: Bayón, Álvaro organization: Estación Biológica de Doñana (EBD‐CSIC) – sequence: 8 givenname: Peter J. surname: Bellingham fullname: Bellingham, Peter J. organization: Landcare Research – sequence: 9 givenname: Mariana C. surname: Chiuffo fullname: Chiuffo, Mariana C. organization: Universidad Nacional del Comahue, CONICET – sequence: 10 givenname: Nicole surname: DiManno fullname: DiManno, Nicole organization: University of Hawai'i at Hilo – sequence: 11 givenname: Kahua surname: Julian fullname: Julian, Kahua organization: University of Hawai'i at Hilo – sequence: 12 givenname: Susanne surname: Kandert fullname: Kandert, Susanne organization: University of Göttingen – sequence: 13 givenname: Nicola La surname: Porta fullname: Porta, Nicola La organization: MOUNTFOR Project Centre, European Forest Institute – sequence: 14 givenname: Hélia surname: Marchante fullname: Marchante, Hélia organization: University of Coimbra – sequence: 15 givenname: Hamish G. surname: Maule fullname: Maule, Hamish G. organization: Landcare Research – sequence: 16 givenname: Margaret M. surname: Mayfield fullname: Mayfield, Margaret M. organization: The University of Queensland, School of Biological Sciences – sequence: 17 givenname: Daniel surname: Metcalfe fullname: Metcalfe, Daniel organization: CSIRO Land and Water, Ecosciences Precinct – sequence: 18 givenname: M. Cristina surname: Monteverdi fullname: Monteverdi, M. Cristina organization: CREA Research Centre for Foresty and Wood, Viale Santa Margherita – sequence: 19 givenname: Martín A. surname: Núñez fullname: Núñez, Martín A. organization: Universidad Nacional del Comahue, CONICET – sequence: 20 givenname: Rebecca surname: Ostertag fullname: Ostertag, Rebecca organization: University of Hawai'i at Hilo – sequence: 21 givenname: Ingrid M. surname: Parker fullname: Parker, Ingrid M. organization: University of California – sequence: 22 givenname: Duane A. surname: Peltzer fullname: Peltzer, Duane A. organization: Landcare Research – sequence: 23 givenname: Luke J. surname: Potgieter fullname: Potgieter, Luke J. organization: Stellenbosch University – sequence: 24 givenname: Maia surname: Raymundo fullname: Raymundo, Maia organization: The University of Queensland, School of Biological Sciences – sequence: 25 givenname: Donald surname: Rayome fullname: Rayome, Donald organization: USDA Forest Service, Institute of Pacific Islands Forestry – sequence: 26 givenname: Orna surname: Reisman‐Berman fullname: Reisman‐Berman, Orna organization: Ben Gurion University of the Negev – sequence: 27 givenname: David M. surname: Richardson fullname: Richardson, David M. organization: Stellenbosch University – sequence: 28 givenname: Ruben E. surname: Roos fullname: Roos, Ruben E. organization: Norwegian University of Life Sciences – sequence: 29 givenname: Asunción surname: Saldaña fullname: Saldaña, Asunción organization: Universidad de Alcalá – sequence: 30 givenname: Ross T. surname: Shackleton fullname: Shackleton, Ross T. organization: Stellenbosch University – sequence: 31 givenname: Agostina surname: Torres fullname: Torres, Agostina organization: Universidad Nacional del Comahue, CONICET – sequence: 32 givenname: Melinda surname: Trudgen fullname: Trudgen, Melinda organization: University of Western Australia – sequence: 33 givenname: Josef surname: Urban fullname: Urban, Josef organization: Siberian Federal University, Krasnoyarsk – sequence: 34 givenname: Joana R. surname: Vicente fullname: Vicente, Joana R. organization: University of Trás‐os‐Montes e Alto Douro – sequence: 35 givenname: Montserrat surname: Vilà fullname: Vilà, Montserrat organization: Estación Biológica de Doñana (EBD‐CSIC) – sequence: 36 givenname: Tiina surname: Ylioja fullname: Ylioja, Tiina organization: Natural Resources Institute Finland (Luke) – sequence: 37 givenname: Rafael D. surname: Zenni fullname: Zenni, Rafael D. organization: Universidade Federal de Lavras – sequence: 38 givenname: Oscar surname: Godoy fullname: Godoy, Oscar organization: Instituto Universitario de Investigación Marina (INMAR), Campus de Excelencia Internacional del Mar CEIMAR, Universidad de Cádiz |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30974048$$D View this record in MEDLINE/PubMed |
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Non‐native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well‐being, such as timber... Non‐native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well‐being, such as timber... Non-native tree (NNT) species have been transported worldwide to create or enhance services that are fundamental for human well-being, such as timber... |
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| SubjectTerms | Allergenicity biological invasions Climate Change Conservation of Natural Resources Cost assessments cultural ecosystem services Decision making Dependence Digital media Economic conditions Ecosystem Ecosystem assessment Ecosystem services Ecosystems Erosion control exotic trees Forestry global assessment Indigenous species Introduced Species Meta-analysis Original Plant species Pollen Provisioning provisioning ecosystem services regulating ecosystem services Soil analysis Soil erosion Soil erosion control Soil fertility Soil formation Timber Trees - classification Trees - physiology |
| Title | Global effects of non‐native tree species on multiple ecosystem services |
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