Review of Invasive Plant Functional Traits and Management Using Remote Sensing in Sub-Saharan Africa.
| dc.contributor.author | Ojija, Fredrick | |
| dc.contributor.author | Petruzzellis, Francesco | |
| dc.contributor.author | Bacaro, Giovanni | |
| dc.date.accessioned | 2024-09-02T08:30:17Z | |
| dc.date.available | 2024-09-02T08:30:17Z | |
| dc.date.issued | 2024-04-28 | |
| dc.description | This journal article of Agricultural Science and Technology was published by MDPI. | |
| dc.description.abstract | Biodiversity and sustainable development in Sub-Saharan Africa (SSA) are considerably impacted by invasive alien plants (IAPs). Increasing plant invasions in SSA threaten agricultural productivity, biodiversity conservation, and other socioeconomic activities, which in turn put the United Nations Sustainable Development Goals (SDGs) in peril. In order to effectively combat IAPs, understanding their functional traits (morphological, physiological, and phenological traits) and integrating them into remote sensing (RS) is vital. While functional traits influence IAPs’ fitness to invade and establish in a new geographical range, RS aids in studying them remotely, delineating and mapping them, and predicting their potential invasions. The information on this study topic was gathered by reviewing various existing studies published between 2000 and 2024. Based on this review, it was deduced that the majority of IAPs are fast-growing (or acquisitive), with a shorter leaf lifespan, bigger leaves, and higher plant height, ultimately resulting in a higher resource acquisition ability. We established further that in SSA, there are limited studies on IAP functional traits and their integration in RS. Many studies conducted in the region focus mostly on IAP distribution. Evidence from prior studies revealed that functional trait remote sensing (FTRS)-based research not only improves detection and mapping but also predicts whether a certain alien plant can become invasive or expand its distribution range. Thus, using the FTRS approach could help IAP management in SSA, ultimately achieving the SDGs. Our review discusses IAP implications in SSA (e.g., Angola, Tanzania, Benin, Kenya, Uganda, Rwanda, Zambia, Burundi, Zimbabwe, Botswana, Malawi, etc.) and for the achievement of SDGs; functional traits and their impact on alien invasions; and the importance of incorporating functional traits into RS | |
| dc.description.sponsorship | Mbeya University of Science and Technology, | |
| dc.identifier.uri | https://repository.must.ac.tz/handle/123456789/159 | |
| dc.language.iso | en | |
| dc.publisher | MDPI | |
| dc.title | Review of Invasive Plant Functional Traits and Management Using Remote Sensing in Sub-Saharan Africa. | |
| dc.type | Article |