Literature DB >> 30460409

Identifying potential distributions of 10 invasive alien trees: implications for conservation management of protected areas.

Ji-Zhong Wan1,2, Zhi-Xiang Zhang3, Chun-Jing Wang4,5.   

Abstract

Tree invasion has the potential to negatively affect biodiversity and ecosystems, with invasive alien trees (IATs) expanding widely in protected areas (PAs) across different habitats. Thus, the effectiveness of PAs might be reduced. Investigation of the distributions of IAT is urgently required to improve the effective conservation management of PAs. We projected the potential distributions of 10 IATs, which included Acacia mearnsii, Ardisia elliptica, Cecropia peltata, Cinchona pubescens, Leucaena leucocephala, Melaleuca quinquenervia, Miconia calvescens, Morella faya, Prosopis glandulosa, and Spathodea campanulata, that have a serious influence on global biodiversity and assessed the distribution possibilities of these IATs in PAs based on the PA categories of the International Union for Conservation of Nature (IUCN). The overall potential distributions of these 10 IATs included Latin America, central and southern Africa, southeastern Asia, eastern Australia and New Zealand, and western Europe. Annual mean temperature, temperature seasonality, annual precipitation, and soil bulk density were found to be important environmental variables for the potential distributions of these IATs. Overall, A. mearnsii, A. elliptica, C. peltata, L. leucocephala, M. quinquenervia, M. calvescens, and S. campanulata were distributed mainly in the IUCN PA categories of national parks and PAs with sustainable use of natural resources. We proposed the following for conservation management of PAs: (1) completion of species inventories for PAs, (2) better understanding of factors driving invasions in PAs, (3) assessment of the efficiency of management within particular PAs, and (4) evaluation of changes in trends regarding plant invasions in PAs under climate change conditions.

Entities:  

Keywords:  Conservation management effectiveness; Environmental changes; Global scale; IUCN; Nature reserve; Tree invasion

Mesh:

Year:  2018        PMID: 30460409     DOI: 10.1007/s10661-018-7104-6

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  25 in total

1.  Feedback with soil biota contributes to plant rarity and invasiveness in communities.

Authors:  John N Klironomos
Journal:  Nature       Date:  2002-05-02       Impact factor: 49.962

2.  Measuring the extent and effectiveness of protected areas as an indicator for meeting global biodiversity targets.

Authors:  S Chape; J Harrison; M Spalding; I Lysenko
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-02-28       Impact factor: 6.237

3.  A global indicator for biological invasion.

Authors:  Melodie A McGeoch; Steven L Chown; Jesse M Kalwij
Journal:  Conserv Biol       Date:  2006-12       Impact factor: 6.560

4.  Risk assessment of riparian plant invasions into protected areas.

Authors:  Llewellyn C Foxcroft; Mathieu Rouget; David M Richardson
Journal:  Conserv Biol       Date:  2007-04       Impact factor: 6.560

5.  Plant-soil feedbacks: a meta-analytical review.

Authors:  Andrew Kulmatiski; Karen H Beard; John R Stevens; Stephanie M Cobbold
Journal:  Ecol Lett       Date:  2008-06-03       Impact factor: 9.492

Review 6.  Predicting plant invasions in an era of global change.

Authors:  Bethany A Bradley; Dana M Blumenthal; David S Wilcove; Lewis H Ziska
Journal:  Trends Ecol Evol       Date:  2010-01-25       Impact factor: 17.712

7.  On how much biodiversity is covered in Europe by national protected areas and by the Natura 2000 network: insights from terrestrial vertebrates.

Authors:  L Maiorano; G Amori; A Montemaggiori; C Rondinini; L Santini; S Saura; L Boitani
Journal:  Conserv Biol       Date:  2015-05-21       Impact factor: 6.560

8.  Protected-area boundaries as filters of plant invasions.

Authors:  Llewellyn C Foxcroft; Vojtěch Jarošík; Petr Pyšek; David M Richardson; Mathieu Rouget
Journal:  Conserv Biol       Date:  2010-12-16       Impact factor: 6.560

9.  The effects of sampling bias and model complexity on the predictive performance of MaxEnt species distribution models.

Authors:  Mindy M Syfert; Matthew J Smith; David A Coomes
Journal:  PLoS One       Date:  2013-02-14       Impact factor: 3.240

10.  Areas of high conservation value at risk by plant invaders in Georgia under climate change.

Authors:  Daniel Slodowicz; Patrice Descombes; David Kikodze; Olivier Broennimann; Heinz Müller-Schärer
Journal:  Ecol Evol       Date:  2018-04-02       Impact factor: 2.912

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