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2. GC-MS analysis and antibacterial activities of some plants belonging to the genus Euphorbia on selected bacterial isolates

Author

Al Abboud Mohamed A., Ismail Khatib Sayeed, Mashraqi Abdullah, Albishi Saad, Al-Namazi Ali A., and Masrahi Yahya S.

Subjects
euphorbia, gc-ms analysis, antibacterial activities, multi-drug resistant, mrsa, gram-negative bacteria, Chemistry, QD1-999
Abstract

Plant extracts have always been used as an alternative source of antimicrobial compounds. The recent spread of multi-drug-resistant bacteria and their increased treatment costs necessitated the study of alternative, cheap sources. The family Euphorbiaceae has over 300 genera and is widely used in traditional medicine. Euphorbia triaculeata, E. fractiflexa, and E. inarticulata were selected to study the antibacterial activity of the methanolic extract against 13 Gram-positive Staphylococcus aureus strains (including methicillin-resistant S. aureus) and 2 Gram-negative isolates, Escherichia coli and Klebsiella pneumoniae, by the Kirby Bauer Disc diffusion test. Paper discs with different concentrations of the extracts (100, 50, and 25 µg mL−1) were prepared, along with the methanol control and standard antibiotic control. A gas chromatography-mass spectrometry (GC/MS) analysis was done to study the phytochemical components present in the plant methanolic extracts. A total of 50 different phytochemical compounds with antibacterial activity were detected by GC/MS analysis of the plants. Twenty-five compounds were detected in E. inarticulata, 24 in E. triaculeata, and 21 in E. fractiflexa. Out of 37 compounds found in E. inarticulata and E. triaculeata, 12 (32.43%) were common to both. Eleven (22%) compounds were unique to E. inarticulata, while 9 (18%) compounds were unique to E. triaculeata, and 13 (26%) compounds were unique to E. fractiflexa. E. fractiflexa showed the best antibacterial activity against MRSA and Gram-negative bacteria. It also showed higher unique compounds with antibacterial activity (26%), followed by E. inarticulata (11, 22%). This is the first GC/MS analysis and antimicrobial activity report of E. triaculeata and E. fractiflexa.

Published
2023
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5. New plant records for the flora of Saudi Arabia

Author

Al-Khulaidi, Abdul Wali, primary, Alzahrani, Ali M., additional, Al-Namazi, Ali, additional, Al-Faify, Eisa Ali, additional, Alfaifi, Mohammed Musa, additional, Al‑Sagheer, Nageeb A., additional, and Al-Gifri, Abdul Nasser, additional

Published
2024
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6. RecruitNet: A global database of plant recruitment networks

Author

European Commission, Agencia Estatal de Investigación (España), Verdú, Miguel [0000-0002-9778-7692], Garrido, José L. [0000-0002-6859-4234], Alcántara, Julio M. [0000-0002-8003-7844], Montesinos-Navarro, Alicia [0000-0003-4656-0321], Aizen, Marcelo A. [0000-0001-9079-9749], Al-Namazi, Ali A. [0000-0003-2767-4366], Alifriqui, Mohamed [0000-0002-9176-7789], Allen, David [0000-0002-0712-9603], Anderson-Teixeira, Kristina J. [0000-0001-8461-9713], Armas, Cristina [0000-0003-0356-8075], Bastida, Jesús M. [0000-0002-8680-1401], Bonanomi, Giuliano [0000-0002-1831-4361], Paterno, Gustavo B. [0000-0001-9719-3037], Campoy, Josefina G. [0000-0002-7300-1173], Condit, Richard [0000-0003-4191-1495], Delalandre, Leo [0000-0003-2875-4587], Duarte, Milen [0000-0003-4784-9880], Fazlioglu, Fatih [0000-0002-4723-3640], Flores-Olvera, Hilda [0000-0002-3262-9570], Garcia, María Begoña [0000-0003-4231-6006], García-Fayos, Patricio [0000-0003-3449-5075], Goberna, Marta [0000-0001-5303-3429], Gómez Aparicio, Lorena [0000-0001-5122-3579], González-Pendás, Enrique [0000-0001-5058-7733], İpekdal, Kahraman [0000-0001-9968-3013], Kikvidze, Zaal [0000-0002-5007-4484], Ledo, Alicia [0000-0002-3967-6994], Liu, Hanlun [0000-0002-9424-4940], López García, Álvaro [0000-0001-8267-3572], Lortie, Christopher J. [0000-0002-4291-7023], Losapio, Gianalberto [0000-0001-7589-8706], Lutz, James A. [0000-0002-2560-0710], Luzuriaga, Arantzazu L. [0000-0001-5023-7813], Máliš, František [0000-0003-2760-6988], Michalet, Richard [0000-0002-6617-4789], Molina-Venegas, Rafael [0000-0001-5801-0736], Navarro-Cano, J. A. [0000-0001-8091-1063], Ortiz-Brunel, Juan P. [0000-0002-0695-8143], Pérez-Hernández, Vidal [0000-0001-6793-296X], Pistón, Nuria [0000-0003-4946-9945], Prieto, Iván [0000-0001-5549-1132], Prieto Rubio, Jorge [0000-0002-5600-5113], Pugnaire, Francisco I. [0000-0002-1227-6827], Ramírez, Nelson [0000-0002-6385-3866], Rey, Pedro J. [0000-0001-5550-0393], Sánchez-Martín, Ricardo [0000-0001-5272-3276], Schob, Christian [0000-0003-4472-2286], Tercero-Araque, Amanda [0000-0002-7255-5844], Usero, Francisco M. [0000-0002-4648-4202], Usta, Nurbahar [0000-0002-9265-2780], Zamora, Regino [0000-0002-5049-9968], Verdú, Miguel, Garrido, José L., Alcántara, Julio M., Montesinos-Navarro, Alicia, Aguilar, Salomón, Aizen, Marcelo A., Al-Namazi, Ali A., Alifriqui, Mohamed, Allen, David, Anderson-Teixeira, Kristina J., Armas, Cristina, Bastida, Jesús M., Bellido, Tono, Bonanomi, Giuliano, Paterno, Gustavo B., Briceño, Herbert, de Oliveira, Ricardo A.C., Campoy, Josefina G., Chaieb, Ghassen, Chu, Chengjin, Collins, Sarah E., Condit, Richard, Constantinou, Elena, Degirmenci, Cihan Ü., Delalandre, Leo, Duarte, Milen, Faife, Michel, Fazlioglu, Fatih, Fernando, Edwino S., Flores, Joel, Flores-Olvera, Hilda, Fodor, Ecaterina, Ganade, Gislene, Garcia, María Begoña, García-Fayos, Patricio, Gavini, Sabrina S., Goberna, M., Gómez Aparicio, Lorena, González-Pendás, Enrique, González-Robles, Ana, Hubbell, Stephen P., İpekdal, Kahraman, Jorquera, María J., Kikvidze, Zaal, Kütküt, Pınar, Ledo, Alicia, Lendínez, Sandra, Li, Buhang, Liu, Hanlun, Lloret, Francisco, López, Ramiro P., López García, Álvaro, Lortie, Christopher J., Losapio, Gianalberto, Lutz, James A., Luzuriaga, Arantzazu L., Máliš, František, Manrique, Esteban, Manzaneda, Antonio J., Marcilio-Silva, Vinicius, Michalet, Richard, Molina-Venegas, Rafael, Navarro-Cano, J. A., Novotny, Vojtech, Olesen, Jens M., Ortiz-Brunel, Juan P., Pajares-Murgó, María, Parissis, Nikolas, Parker, Geoffrey, Perea, Antonio J., Pérez-Hernández, Vidal, Pérez-Navarro, María Ángeles, Pistón, Nuria, Pizarro-Carbonell, Elisa, Prieto, Iván, Prieto Rubio, Jorge, Pugnaire, Francisco I., Ramírez, Nelson, Retuerto, Rubén, Rey, Pedro J., Rodriguez Ginart, Daniel A., Rodríguez-Sánchez, Mariana, Sánchez-Martín, Ricardo, Schob, Christian, Tavşanoğlu, Çağatay, Tedoradze, Giorgi, Tercero-Araque, Amanda, Tielbörger, Katja, Touzard, Blaise, Tüfekcioğlu, İrem, Turkis, Sevda, Usero, Francisco M., Usta, Nurbahar, Valiente-Banuet, Alfonso, Vargas-Colin, Alexia, Vogiatzakis, Ioannis, Zamora, Regino, European Commission, Agencia Estatal de Investigación (España), Verdú, Miguel [0000-0002-9778-7692], Garrido, José L. [0000-0002-6859-4234], Alcántara, Julio M. [0000-0002-8003-7844], Montesinos-Navarro, Alicia [0000-0003-4656-0321], Aizen, Marcelo A. [0000-0001-9079-9749], Al-Namazi, Ali A. [0000-0003-2767-4366], Alifriqui, Mohamed [0000-0002-9176-7789], Allen, David [0000-0002-0712-9603], Anderson-Teixeira, Kristina J. [0000-0001-8461-9713], Armas, Cristina [0000-0003-0356-8075], Bastida, Jesús M. [0000-0002-8680-1401], Bonanomi, Giuliano [0000-0002-1831-4361], Paterno, Gustavo B. [0000-0001-9719-3037], Campoy, Josefina G. [0000-0002-7300-1173], Condit, Richard [0000-0003-4191-1495], Delalandre, Leo [0000-0003-2875-4587], Duarte, Milen [0000-0003-4784-9880], Fazlioglu, Fatih [0000-0002-4723-3640], Flores-Olvera, Hilda [0000-0002-3262-9570], Garcia, María Begoña [0000-0003-4231-6006], García-Fayos, Patricio [0000-0003-3449-5075], Goberna, Marta [0000-0001-5303-3429], Gómez Aparicio, Lorena [0000-0001-5122-3579], González-Pendás, Enrique [0000-0001-5058-7733], İpekdal, Kahraman [0000-0001-9968-3013], Kikvidze, Zaal [0000-0002-5007-4484], Ledo, Alicia [0000-0002-3967-6994], Liu, Hanlun [0000-0002-9424-4940], López García, Álvaro [0000-0001-8267-3572], Lortie, Christopher J. [0000-0002-4291-7023], Losapio, Gianalberto [0000-0001-7589-8706], Lutz, James A. [0000-0002-2560-0710], Luzuriaga, Arantzazu L. [0000-0001-5023-7813], Máliš, František [0000-0003-2760-6988], Michalet, Richard [0000-0002-6617-4789], Molina-Venegas, Rafael [0000-0001-5801-0736], Navarro-Cano, J. A. [0000-0001-8091-1063], Ortiz-Brunel, Juan P. [0000-0002-0695-8143], Pérez-Hernández, Vidal [0000-0001-6793-296X], Pistón, Nuria [0000-0003-4946-9945], Prieto, Iván [0000-0001-5549-1132], Prieto Rubio, Jorge [0000-0002-5600-5113], Pugnaire, Francisco I. [0000-0002-1227-6827], Ramírez, Nelson [0000-0002-6385-3866], Rey, Pedro J. [0000-0001-5550-0393], Sánchez-Martín, Ricardo [0000-0001-5272-3276], Schob, Christian [0000-0003-4472-2286], Tercero-Araque, Amanda [0000-0002-7255-5844], Usero, Francisco M. [0000-0002-4648-4202], Usta, Nurbahar [0000-0002-9265-2780], Zamora, Regino [0000-0002-5049-9968], Verdú, Miguel, Garrido, José L., Alcántara, Julio M., Montesinos-Navarro, Alicia, Aguilar, Salomón, Aizen, Marcelo A., Al-Namazi, Ali A., Alifriqui, Mohamed, Allen, David, Anderson-Teixeira, Kristina J., Armas, Cristina, Bastida, Jesús M., Bellido, Tono, Bonanomi, Giuliano, Paterno, Gustavo B., Briceño, Herbert, de Oliveira, Ricardo A.C., Campoy, Josefina G., Chaieb, Ghassen, Chu, Chengjin, Collins, Sarah E., Condit, Richard, Constantinou, Elena, Degirmenci, Cihan Ü., Delalandre, Leo, Duarte, Milen, Faife, Michel, Fazlioglu, Fatih, Fernando, Edwino S., Flores, Joel, Flores-Olvera, Hilda, Fodor, Ecaterina, Ganade, Gislene, Garcia, María Begoña, García-Fayos, Patricio, Gavini, Sabrina S., Goberna, M., Gómez Aparicio, Lorena, González-Pendás, Enrique, González-Robles, Ana, Hubbell, Stephen P., İpekdal, Kahraman, Jorquera, María J., Kikvidze, Zaal, Kütküt, Pınar, Ledo, Alicia, Lendínez, Sandra, Li, Buhang, Liu, Hanlun, Lloret, Francisco, López, Ramiro P., López García, Álvaro, Lortie, Christopher J., Losapio, Gianalberto, Lutz, James A., Luzuriaga, Arantzazu L., Máliš, František, Manrique, Esteban, Manzaneda, Antonio J., Marcilio-Silva, Vinicius, Michalet, Richard, Molina-Venegas, Rafael, Navarro-Cano, J. A., Novotny, Vojtech, Olesen, Jens M., Ortiz-Brunel, Juan P., Pajares-Murgó, María, Parissis, Nikolas, Parker, Geoffrey, Perea, Antonio J., Pérez-Hernández, Vidal, Pérez-Navarro, María Ángeles, Pistón, Nuria, Pizarro-Carbonell, Elisa, Prieto, Iván, Prieto Rubio, Jorge, Pugnaire, Francisco I., Ramírez, Nelson, Retuerto, Rubén, Rey, Pedro J., Rodriguez Ginart, Daniel A., Rodríguez-Sánchez, Mariana, Sánchez-Martín, Ricardo, Schob, Christian, Tavşanoğlu, Çağatay, Tedoradze, Giorgi, Tercero-Araque, Amanda, Tielbörger, Katja, Touzard, Blaise, Tüfekcioğlu, İrem, Turkis, Sevda, Usero, Francisco M., Usta, Nurbahar, Valiente-Banuet, Alfonso, Vargas-Colin, Alexia, Vogiatzakis, Ioannis, and Zamora, Regino

Abstract

Plant recruitment interactions (i.e., what recruits under what) shape the composition, diversity, and structure of plant communities. Despite the huge body of knowledge on the mechanisms underlying recruitment interactions among species, we still know little about the structure of the recruitment networks emerging in ecological communities. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes acting both at the species and ecosystem levels. We report a data set containing 143 plant recruitment networks in 23 countries across five continents, including temperate and tropical ecosystems. Each network identifies the species under which another species recruits. All networks report the number of recruits (i.e., individuals) per species. The data set includes >850,000 recruiting individuals involved in 118,411 paired interactions among 3318 vascular plant species across the globe. The cover of canopy species and open ground is also provided. Three sampling protocols were used: (1) The Recruitment Network (RN) protocol (106 networks) focuses on interactions among established plants ("canopy species") and plants in their early stages of recruitment ("recruit species"). A series of plots was delimited within a locality, and all the individuals recruiting and their canopy species were identified; (2) The paired Canopy-Open (pCO) protocol (26 networks) consists in locating a potential canopy plant and identifying recruiting individuals under the canopy and in a nearby open space of the same area; (3) The Georeferenced plot (GP) protocol (11 networks) consists in using information from georeferenced individual plants in large plots to infer canopy-recruit interactions. Some networks incorporate data for both herbs and woody species, whereas others focus exclusively on woody species. The location of each study site, geographical coordinates, country

Published
2023

10. RecruitNet: A global database of plant recruitment networks

Author

Verdú, Miguel, Garrido, Jose L., Alcántara, Julio M., Montesinos-Navarro, Alicia, Aguilar, Salomón, Aizen, Marcelo A., Al-Namazi, Ali A., Alifriqui, Mohamed, Allen, David, Anderson-Teixeira, Kristina J., Armas, Cristina, Bastida, Jesús M., Bellido, Tono, Bonanomi, Giuliano, Paterno, Gustavo B., Briceño, Herbert, de Oliveira, Ricardo A.C., Campoy, Josefina G., Chaieb, Ghassen, Chu, Chengjin, and Schöb, Christian

Subjects
recruitment, plant–plant interactions, ecological networks, replacement, facilitation
Abstract

Plant recruitment interactions (i.e., what recruits under what) shape the composition, diversity, and structure of plant communities. Despite the huge body of knowledge on the mechanisms underlying recruitment interactions among species, we still know little about the structure of the recruitment networks emerging in ecological communities. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes acting both at the species and ecosystem levels. We report a data set containing 143 plant recruitment networks in 23 countries across five continents, including temperate and tropical ecosystems. Each network identifies the species under which another species recruits. All networks report the number of recruits (i.e., individuals) per species. The data set includes > 850,000 recruiting individuals involved in 118,411 paired interactions among 3318 vascular plant species across the globe. The cover of canopy species and open ground is also provided. Three sampling protocols were used: (1) The Recruitment Network (RN) protocol (106 networks) focuses on interactions among established plants ( "canopy species ") and plants in their early stages of recruitment ( "recruit species "). A series of plots was delimited within a locality, and all the individuals recruiting and their canopy species were identified; (2) The paired Canopy-Open (pCO) protocol (26 networks) consists in locating a potential canopy plant and identifying recruiting individuals under the canopy and in a nearby open space of the same area; (3) The Georeferenced plot (GP) protocol (11 networks) consists in using information from georeferenced individual plants in large plots to infer canopy-recruit interactions. Some networks incorporate data for both herbs and woody species, whereas others focus exclusively on woody species. The location of each study site, geographical coordinates, country, locality, responsible author, sampling dates, sampling method, and life habits of both canopy and recruit species are provided. This database will allow researchers to test ecological, biogeographical, and evolutionary hypotheses related to plant recruitment interactions. There are no copyright restrictions on the data set; please cite this data paper when using these data in publications., Ecology, 104 (2), ISSN:0012-9658, ISSN:1939-9170

Published
2023

17. Insights into the chemical composition of Ocimum forskaoliiand O. americanumessential oils and their phytotoxicity

Author

Abd-ElGawad, Ahmed M., Al-Namazi, Ali A., Assaeed, Abdulaziz M., Al-Huqail, Asma A., Dar, Basharat A., and Elshamy, Abdelsamed I.

Abstract

AbstractThe essential oils (EOs) of numerous Ocimumspecies are well-known. The EOs of O. forskaoliiand O. americanumgrowing naturally in Saudi Arabia are compared chemically in the current study. The GC-MS and GC-FID analysis was used for identification and quantitation of EOs’ chemical components, and the chemometric analysis was used to determine the differences between the two species. Additionally, against the weeds Dactyloctenium aegyptiumand Chenopodium murale, the allelopathic potentiality of the two EOs was assessed. Fifty-one compounds were assigned as overall O. forskaoliiEO’ components, with abundance of mono- and sesquit-terpenes (40.49 and 55.15%, respectively). endo-Fenchol (18.15%), tau-cadinol (11.42%), β-atlantol (10.54%), α-eudesmol (7.29%), and α-terpineol (6.94%) were the major components. Sixty-one components were identified via the GC-MS analysis of O. americanumEO, with sesquiterpenes (81.24%) serving as the major class. α-Bulnesene (10.17%), germacrene B (7.72%), endo-borneol (5.51%), isoshyobunone (5.37%), and γ-eudesmol (5.31%) represented the main compounds. Chemometric study showed a distinct difference between the two species’ chemical make-up of the EOs, which might be attributed to genetic changes. The extracted EOs of O. forskaoliiand O. americanumdemonstrated a significant allelopathic effect against the weeds D. aegyptiumand C. murale. Compared to O. americanum, O. forskaoliiEO demonstrated greater allelopathic activity. The main components of each species may be a candidate for the observed allelopathic activity, which may act singularly or in combination.

Published
2023
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26. Adaptations facilitate the invasion of Cylindropuntia rosea(DC.) Backeb. (Cactaceae) in the highlands of southwestern Saudi Arabia

Author

Masrahi, Yahya, Al-Namazi, Ali, Alammari, B., and Alturki, Turki

Abstract

ABSTRACTThe colonization and expansion of any plant species into a novel environment depend on its structural and functional characteristics. Therefore, developing better control measures for any invasive plant species requires examining and understanding the mechanisms underlying its reproduction and adaptation to the environment it invades. Recently, a novel exotic species Cylindropuntia rosea(DC.) Backeb. has been identified in Baljurashi, Al-Baha province, in southwestern Saudi Arabia. Reports suggest that this species may become invasive with the current rate of habitat expansion in Baljurashi. Although C. roseais an important invasive species, most of its morpho-anatomical and physiological characteristics have not been examined. Therefore, the aim of this study was to investigate the morpho-anatomical and related physiological adaptations of C. roseain its new habitats in the southwestern highlands of Saudi Arabia. We observed that the species is well-equipped for invasion with traits to handle semi-arid conditions, including some morphological and anatomical features, CAM photosynthetic pathway, high growth rate, and highly effective defense mechanisms against herbivores and insects. These morpho-anatomical and physiological characteristics contribute to the high invasiveness of this species in Saudi Arabia.

Published
2022
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27. RecruitNet: A global database of plant recruitment networks.

Author

Verdú M, Garrido JL, Alcántara JM, Montesinos-Navarro A, Aguilar S, Aizen MA, Al-Namazi AA, Alifriqui M, Allen D, Anderson-Teixeira KJ, Armas C, Bastida JM, Bellido T, Bonanomi G, Paterno GB, Briceño H, de Oliveira RAC, Campoy JG, Chaieb G, Chu C, Collins SE, Condit R, Constantinou E, Degirmenci CÜ, Delalandre L, Duarte M, Faife M, Fazlioglu F, Fernando ES, Flores J, Flores-Olvera H, Fodor E, Ganade G, Garcia MB, García-Fayos P, Gavini SS, Goberna M, Gómez-Aparicio L, González-Pendás E, González-Robles A, Hubbell SP, İpekdal K, Jorquera MJ, Kikvidze Z, Kütküt P, Ledo A, Lendínez S, Li B, Liu H, Lloret F, López RP, López-García Á, Lortie CJ, Losapio G, Lutz JA, Luzuriaga AL, Máliš F, Manrique E, Manzaneda AJ, Marcilio-Silva V, Michalet R, Molina-Venegas R, Navarro-Cano JA, Novotny V, Olesen JM, Ortiz-Brunel JP, Pajares-Murgó M, Parissis N, Parker G, Perea AJ, Pérez-Hernández V, Pérez-Navarro MÁ, Pistón N, Pizarro-Carbonell E, Prieto I, Prieto-Rubio J, Pugnaire FI, Ramírez N, Retuerto R, Rey PJ, Rodriguez Ginart DA, Rodríguez-Sánchez M, Sánchez-Martín R, Schöb C, Tavşanoğlu Ç, Tedoradze G, Tercero-Araque A, Tielbörger K, Touzard B, Tüfekcioğlu İ, Turkis S, Usero FM, Usta N, Valiente-Banuet A, Vargas-Colin A, Vogiatzakis I, and Zamora R

Subjects
Humans, Plants, Biological Evolution, Ecosystem, Tracheophyta
Abstract

Plant recruitment interactions (i.e., what recruits under what) shape the composition, diversity, and structure of plant communities. Despite the huge body of knowledge on the mechanisms underlying recruitment interactions among species, we still know little about the structure of the recruitment networks emerging in ecological communities. Modeling and analyzing the community-level structure of plant recruitment interactions as a complex network can provide relevant information on ecological and evolutionary processes acting both at the species and ecosystem levels. We report a data set containing 143 plant recruitment networks in 23 countries across five continents, including temperate and tropical ecosystems. Each network identifies the species under which another species recruits. All networks report the number of recruits (i.e., individuals) per species. The data set includes >850,000 recruiting individuals involved in 118,411 paired interactions among 3318 vascular plant species across the globe. The cover of canopy species and open ground is also provided. Three sampling protocols were used: (1) The Recruitment Network (RN) protocol (106 networks) focuses on interactions among established plants ("canopy species") and plants in their early stages of recruitment ("recruit species"). A series of plots was delimited within a locality, and all the individuals recruiting and their canopy species were identified; (2) The paired Canopy-Open (pCO) protocol (26 networks) consists in locating a potential canopy plant and identifying recruiting individuals under the canopy and in a nearby open space of the same area; (3) The Georeferenced plot (GP) protocol (11 networks) consists in using information from georeferenced individual plants in large plots to infer canopy-recruit interactions. Some networks incorporate data for both herbs and woody species, whereas others focus exclusively on woody species. The location of each study site, geographical coordinates, country, locality, responsible author, sampling dates, sampling method, and life habits of both canopy and recruit species are provided. This database will allow researchers to test ecological, biogeographical, and evolutionary hypotheses related to plant recruitment interactions. There are no copyright restrictions on the data set; please cite this data paper when using these data in publications., (© 2022 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.)

Published
2023
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