TY - JOUR
T1 - Predicting current and future potential distributions of parthenium hysterophorus in Bangladesh using maximum entropy ecological niche modelling
AU - Masum, Sheikh Muhammad
AU - Halim, Abdul
AU - Mandal, Mohammad Shamim Hasan
AU - Asaduzzaman, Md
AU - Adkins, Steve
N1 - Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/7
Y1 - 2022/7
N2 - Parthenium weed (Parthenium hysterophorus
L.) is among the most noxious invasive alien plant species, which can
pose a threat to agro- and native-ecosystems. Despite potential
parthenium infestation risks at the south-western regions of the
Ganges–Brahmaputra floodplains of Bangladesh, no studies exist that
document parthenium infestation. Using field surveys and a maximum
entropy (Maxent) modelling approach, the present study tries to address
the problem in the concerned region comprised of five Districts:
Jashore, Jhenaidah, Chuadanga, Meherpur, and Khustia. The results
revealed high infestation in the Jashore, Jhenaidah, and Chuadanga
Districts, mainly along roadsides, in grasslands, and in fallow and
cropped fields. The greatest abundance of the weed (ca. 30 plants m−2)
occurred at the Indian border area, suggesting cross-border spreading,
possibly through the linking road systems. Furthermore, we found that
under both low and high emissions scenarios (Representative
Concentration Pathways 2.6 and 8.5), parthenium weed suitability areas
were likely to expand, suggesting an increased threat to the
agro-ecosystems of Bangladesh. The present study is the first attempt to
survey and model potential parthenium weed distribution affecting one
of the major hubs of agricultural production in Bangladesh. The findings
of this study can help land managers to make judicious decisions
towards the future management of these agro-ecosystems.
AB - Parthenium weed (Parthenium hysterophorus
L.) is among the most noxious invasive alien plant species, which can
pose a threat to agro- and native-ecosystems. Despite potential
parthenium infestation risks at the south-western regions of the
Ganges–Brahmaputra floodplains of Bangladesh, no studies exist that
document parthenium infestation. Using field surveys and a maximum
entropy (Maxent) modelling approach, the present study tries to address
the problem in the concerned region comprised of five Districts:
Jashore, Jhenaidah, Chuadanga, Meherpur, and Khustia. The results
revealed high infestation in the Jashore, Jhenaidah, and Chuadanga
Districts, mainly along roadsides, in grasslands, and in fallow and
cropped fields. The greatest abundance of the weed (ca. 30 plants m−2)
occurred at the Indian border area, suggesting cross-border spreading,
possibly through the linking road systems. Furthermore, we found that
under both low and high emissions scenarios (Representative
Concentration Pathways 2.6 and 8.5), parthenium weed suitability areas
were likely to expand, suggesting an increased threat to the
agro-ecosystems of Bangladesh. The present study is the first attempt to
survey and model potential parthenium weed distribution affecting one
of the major hubs of agricultural production in Bangladesh. The findings
of this study can help land managers to make judicious decisions
towards the future management of these agro-ecosystems.
KW - climate change
KW - ecological niche modelling
KW - Maxent
KW - species distribution model
KW - weed ecology
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UR - http://www.scopus.com/inward/citedby.url?scp=85133548340&partnerID=8YFLogxK
U2 - 10.3390/agronomy12071592
DO - 10.3390/agronomy12071592
M3 - Article
AN - SCOPUS:85133548340
SN - 2073-4395
VL - 12
SP - 1
EP - 19
JO - Agronomy
JF - Agronomy
IS - 7
M1 - 1592
ER -