Results 21 to 30 of about 25,351 (202)

An inventory of invasive alien species in China [PDF]

, 2012
Invasive alien species (IAS) are a major global challenge requiring urgent action, and the Strategic Plan for Biodiversity (2011–2020) of the Convention on Biological Diversity (CBD) includes a target on the issue.
Baishi Hu, Cheng Huang, Haigen Xu, Hongying Sun, Hui Ding, Jiangying Guo, Jinlai Miao, Jun Wu, Juncheng Lei, Lian Chen, Ling Meng, Petr Pysek, Petr Pysek, Piero Genovesi, Sheng Qiang, Shunping He, Vojtěch Jarošik, Xiaoping Zhang, YU Wu, Zhengmin Han, Zhifang Le, Zhou Zheng   +21 more
core   +2 more sources

Shola tree regeneration is lower under Lantana camara L. thickets in the upper Nilgiris plateau, India

Journal of Threatened Taxa, 2019
Lantana camara is a dominant invasive shrub in many protected areas of India including the Nilgiri Biosphere Reserve (NBR).  We conducted a study to assess the regeneration potential of endemic native (shola) trees under different levels of Lantana ...
Muneer Ul Islam Najar, Jean-Philippe Puyravaud, Priya Davidar   +2 more
doaj   +1 more source

Biochemical methane potential trial of terrestrial weeds: Evolution of mono digestion and co-digestion on biogas production

Materials Science for Energy Technologies, 2020
Parthenium hysterophorus, Lantana camara and Ageratum conyzoides are considered among the world’s top twenty notorious terrestrial weeds due to their reproduction potential and hazardous nature.
Biswanath Saha, Palem Mohammed Yunus, Meena Khwairakpam, Ajay S. Kalamdhad   +3 more
doaj   +1 more source

A battle lost? Report on two centuries of invasion and management of Lantana camara L. in Australia, India and South Africa. [PDF]

PLoS ONE, 2012
Recent discussion on invasive species has invigorated the debate on strategies to manage these species. Lantana camara L., a shrub native to the American tropics, has become one of the worst weeds in recorded history. In Australia, India and South Africa,
Shonil A Bhagwat, Elinor Breman, Tarsh Thekaekara, Thomas F Thornton, Katherine J Willis   +4 more
doaj   +1 more source

Do topical repellents divert mosquitoes within a community? Health equity implications of topical repellents as a mosquito bite prevention tool. [PDF]

, 2013
OBJECTIVES: Repellents do not kill mosquitoes--they simply reduce human-vector contact. Thus it is possible that individuals who do not use repellents but dwell close to repellent users experience more bites than otherwise.
DC Chavasse, Elizabeth Louise Turner, Emmanuel Titus Simfukwe, GF Killeen, JA Scott, John Vontas, LW Cohnstaedt, M Ditzen, M Rowland, Marta Ferreira Maia, Max Thele, MF Maia, N Hill, RW Steketee, Sangoro Peter Onyango, Sarah Jane Moore, SE Clarke, SJ Moore, SJ Moore, SP Carroll, SW Lindsay, TW Scott, Y Geissbühler   +22 more
core   +3 more sources

Repellent plants provide affordable natural screening to prevent mosquito house entry in tropical rural settings--results from a pilot efficacy study. [PDF]

PLoS ONE, 2011
Sustained malaria control is underway using a combination of vector control, prompt diagnosis and treatment of malaria cases. Progress is excellent, but for long-term control, low-cost, sustainable tools that supplement existing control programs are ...
Frank C Mng'ong'o, Joseph J Sambali, Eustachkius Sabas, Justine Rubanga, Jaka Magoma, Alex J Ntamatungiro, Elizabeth L Turner, Daniel Nyogea, Jeroen H J Ensink, Sarah J Moore   +9 more
doaj   +1 more source

Transcriptome Analysis of Young Ovaries Reveals Candidate Genes Involved in Gamete Formation in Lantana camara

Plants, 2019
Lantana (Lantana camara L., Verbenaceae) is an important ornamental crop, yet can be a highly invasive species. The formation of unreduced female gametes (UFGs) is a major factor contributing to its invasiveness and has severely hindered the development ...
Ze Peng, Krishna Bhattarai, Saroj Parajuli, Zhe Cao, Zhanao Deng   +4 more
doaj   +1 more source

An overview of anti-diabetic plants used in Gabon: Pharmacology and Toxicology [PDF]

, 2018
© 2017 Elsevier B.V. All rights reserved.Ethnopharmacological relevance: The management of diabetes mellitus management in African communities, especially in Gabon, is not well established as more than 60% of population rely on traditional treatments as ...
A. Souza, Abdelgadir, Abdu-Aguye, Abdulrazaq, Abubakar, Adebayo, Adedoyin, Adelusi, Ademuyiwa, Adeneye, Adeneye, Adeneye, Adeneye, Aderibigbe, Adeyemi, Adisa, Adler, Agbor, Agnaniet, Agunbiabe, Agyare, Ajaiyeoba, Ajaiyoeba, Ajao, Ajayi, Akah, Akash, Akinloye, Akpanyung, Aladodo, Alaribe, Amole, Anaduaka, Anosike, Anowi, Anowi, Antia, Anyanwu, Apers, Areola, Arthur, Asadu, Asha, Ashraf, Asolkar, Assob, Asuquo, Atangwho, Atawodi, Atawodi, Aw, Awah, Awe, Aziba, B. Bading Taika, Balasubramanian, Bamisaye, Bapna, Bardi, Bayan, Bella, Ben-Chioma, Bera, Biney, Bisong, Brantley, Calapai, Campbell, Campbell-Tofte, Capasso, Chika, Chokshi, Chris-Ozoko, Coolborn, Coria-Téllez, Da-Costa-Rocha, Dadzeasah, Dahake, Das, Dhanabalan, Djeussi, Djimeli, Djomeni, Djomeni Dzeufiet, Effiong, Effiong, Effo, Eidi, Ejike, El-Demerdash, Elufioye, Elumalai, Eluwa, Eneh, Erharuyi, Erhirhie, Eteng, Etuk, Ewenighi, Ewere, Eyong, Eze, Ezeasor, Ezejindu, Ezejiofor, Ezeokeke, Ezike, Ezuruike, Fang-Chui, Farzaei, Fernand, Ferreira, Feuya Tchouya, Feuya Tchouya, Fongang, Fred-Jaiyesimi, Gandhare, Ganesh, Gbadegesin, Gboeloh, Gemede, Ghani, Ghiware, Gomez-Flores, Gondi, Goutarel, Gupta, Gutierrez, H.P. Bourobou Bourobou, Halim, Hamzah, Hansen, Helfer, Hossain, Houghton, Houël, Huang, Huang, Husain, Husin, Ibibia, Igbe, Igboasoiyi, Ilodigwe, Ilodigwe, Ilusanya, Inya-Agha, Iroanya, Irondi, Irondi, Ishola, Iwu, Iyamah, Jawonisi, Juárez-Rojop, Juárez-Rojop, Kadima, Kaiser, Kamagate, Kamboj, Karimi, Karioti, Kathirvel, Kazeem, Kazeem, Kengni, Kengni, Khodabakhsh, Kolawole, Kouakou, Koudou, Kouitcheu Mabeku, Krishna, Kubilienė, Kuete, Kuete, Kuete, Kulkarni, Kumar, Kumar, Kumar, Kupchan, L. Lione, L.S. MacKenzie, Lakshmi, Lamidi, Lawal, Lawal, Laxane, Lee, Li, Lima, Ludvik, Ludvik, Luka, M. Bouckandou, Mabeku, Madingou, Madingou, Malviya, Manga, Maniyar, Manjur, Manvitha, Mathur, Maurya, Mačiulaitis, Mbiantcha, Mebale, Mengome, Midawa, Miranda-Osorio, Mishra, Miura, Mohamed, Mohammed, Mohammed, Mohammed, Mohammed, Momoh, Montasser, Muhammad, Muhammad, Muhammad, Muhammad, Muttaka, Nabukenya, Nakavuma, Naseri, Naskar, Navghare, Ndam, Nessa, Ngoc, Ngondi, Ngondi, Ngueguim, Ngueguim, Nishimura, Niyonzima, Nkono Ya Nkono, Nkono Ya Nkono, Ntyonga-Pono, Nwamarah, Nweze, Nwodo, Nwokocha, Nyunaï, Nyunaï, N’doua, N’guessan, N’Guessan, Obiang, Obiudu, Ocho-Anin Atchibri, Oduola, Oduola, Ofusori, Ogbonnia, Ogunrinola, Ojewole, Ojewole, Ojewunmi, Ojewunmi, Ojiako, Okeke, Okokon, Okokon, Okokon, Okolie, Okolo, Okonkwo, Olajide, Olaleye, Olatokunboh, Olivier, Olowu, Olubomehin, Ombra, Omodamiro, Omonkhua, Ong, Onyekwe, Osabede, Osadebe, Osigwe, Ouédraogo, Oyewusi j, Ozsoy-Sacan, Padilla-Camberos, Palaksha, Panda, Panda, Parle, Passoni, Patel, Patil, Ping, Pochapski, Pour, Pérez, Rajesh, Raji, Rauf, Ravi, Renjith, Rong, Rosemary, Roy, Sabitha, Sagnia, Santas, Satyaprakash, Saxena, Seung, Shah, Sharma, Sharma, Sharma, Shittu, Silva, Singh, Singh, Sio, Somova, Souza, Sowemimo, Sudhakar, Sule, Sunday, Sunday, Suryawanshi, Sutar, Swargiary, Swathi, Taj Eldin, Talreja, Tan Paul, Tanayen, Tchamadeau, Teugwa, Thongsom, Titanji, Tjeck, Togola, Toma, Toma, Trabelsi, Uchechi, Ufelle, Umoh, Vannamalar, Varghese, Varghese, Vashishtha, Verma, Verma, Vijayalakshmi, Vikram, Vliet, Wang, Wang, Wauthoz, Woode, Yakubu, Yasir, Yeap, Yessoufou, Yokozawa, Yousuf, Yu, Zakiah, Zhang, Zhao, Zheng   +374 more
core   +4 more sources

Powerful yet challenging: mechanistic niche models for predicting invasive species potential distribution under climate change

Ecography, EarlyView.
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa, Sean E. H. Pang, Natalie J. Briscoe, Antoine Guisan, Roberto Salguero-Gómez   +4 more
wiley   +1 more source

Quantitative risk analysis and prediction of potential distribution areas of common lantana (Lantana Camara) in China [PDF]

Computational Ecology and Software, 2011
The ornamental hybrid shrub, Lantana camara L. (lantana), is a serious environmental weed and has been targeted for the biologist. This paper used such approaches as Analytic Hierarchy Process (AHP), fuzzy decision, etc., to analyze and predict potential
XiangRong Lui
doaj