Search Results - "distribution spatiale"

Enjeux et amélioration de la gestion des espèces du genre Entandrophragma, arbres africains devenus vulnérables by Kasongo Yakusu, E., Louppe, D., Monthe, F., Hardy, Olivier J., Mbele Lokanda, F.B., Hubau, W., Bulcke, J. van den, Acker, J. van, Beeckman, H., Bourland, N.

“…Les recherches à développer doivent intéresser leur vitesse de croissance face aux évolutions climatiques, l’évaluation de leurs stocks (production, biomasse, carbone), l’actualisation de leur distribution spatiale, l’amélioration de leur régénération naturelle, les processus de leur reproduction, leurs propriétés anatomiques et technologiques, autant de pistes pertinentes pour garantir la pérennité des espèces exploitables du genre Entandrophragma.…”
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Assessing long-term spatial movement of wheat area across China by Fan, Lingling, Chen, Shi, Liang, Shefang, Sun, Xiao, Chen, Hao, You, Liangzhi, Wu, Wenbin, Sun, Jing, Yang, Peng

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Global Spatially-Disaggregated Crop Production Statistics Data for 2000 Version 3.0.7 by International Food Policy Research Institute

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Global Spatially-Disaggregated Crop Production Statistics Data for 2005 Version 3.2 by International Food Policy Research Institute, International Institute for Applied Systems Analysis

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Global Spatially-Disaggregated Crop Production Statistics Data for 2010 Version 1.1 by International Food Policy Research Institute

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Global Spatially-Disaggregated Crop Production Statistics Data for 2020 Version 1.0 by International Food Policy Research Institute

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The baobab tree in Kondoa Irangi Hills, Tanzania by Johansson, Maria

Mate-searching behavior in the invasive German wasp, Vespula germanica, in Patagonia by Martinez Von Ellrich, Andres, Masciocchi, Maite, Pisman, Natalia, Villacide, Jose Maria, Corley, Juan Carlos

“…In tethered flight assays, we established contrasting flight patterns in females and males that may partly explain how related individuals distribute spatially during the mating period. We also determined experimentally, in the field and in the laboratory via olfactometer assays, that gynes produce airborne pheromonal cues that attract drones and are important during mate location. …”
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Changes in the oak (Quercus robur) population in Dalby Söderskog national park 2011–2020 by Larsson, Johan

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Poverty and forests: multi-country analysis of spatial association and proposed policy solutions

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Caracteristicas agronomicas de la produccion de raices y tuberculos: implicaciones para el diagnostico by Moreno, R.A.

“…Regional characteristics that also agronomically condition root crop production systems include land distribution, spatial distribution of production units, soil resources (fertility, topography), and climate. …”
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Poverty and forests: multi-country analysis of spatial association and proposed policy solutions by Sunderlin, William D., Dewi, S., Puntodewo, A.

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Relevamiento de la superficie de yerba mate con imágenes satelitales en el departamento de Leandro N. Alem, Misiones by Lysiak, Emiliano, Alvarenga, Fernando Agustin

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Environmental correlates for tropical tree diversity and distribution patterns in Borneo by Slik, J.W.F., Raes, N., Aiba, Shin-Ichiro, Brearley, F.Q., Cannon, Charles H., Meijaard, E., Nagamasu, H., Nilus, R., Paoli, G., Poulsen, A.D., Sheil, Douglas, Suzuki, E., Valkenburg, J.L.C.H. van, Webb, C.O., Wilkie, P., Wulffraat, S.

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Assessment of agro-ecology, and management practices effect on crop water productivity of major crops at Dapo Watershed, East Wollega Zone, Oromia Regional State by Bane, N.

“…In the study area, agriculture depends on rain water; however rain water is not evenly distributed spatially and temporally. The general objective of the study is to assess agro-ecology, and crop management practices effect on crop water productivity of major crops. …”
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Structure and spatial patterns of trees in old-growth northern hardwood and mixed forests of northern Maine by Chokkalingam, U., White, A.

“…The inclusion of saplings, dead wood, age distributions, spatial pattern, and interactions provided some idea of underlying processes and temporal change. …”
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Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission by Duncanson, Laura, Kellner, James R., Armston, John, Dubayah, Ralph, Minor, David M., Hancock, Steven, Healey, Sean P., Patterson, Paul L., Saarela, Svetlana, Marselis, Suzanne, Silva, Carlos E., Bruening, Jamis, Goetz, Scott J., Tang, Hao, Hofton, Michelle, Blair, Bryan, Luthcke, Scott, Fatoyinbo, Lola, Abernethy, Katharine, Alonso, Alfonso, Andersen, Hans-Erik, Aplin, Paul, Baker, Timothy R., Barbier, Nicolas, Bastin, Jean Francois, Biber, Peter, Boeckx, Pascal, Bogaert, Jan, Boschetti, Luigi, Boucher, Peter Brehm, Boyd, Doreen S., Burslem, David F.R.P., Calvo-Rodriguez, Sofia, Chave, Jérôme, Chazdon, Robin L., Clark, David B., Clark, Deborah A., Cohen, Warren B., Coomes, David A., Corona, Piermaria, Cushman, K.C., Cutler, Mark E.J., Dalling, James W., Dalponte, Michele, Dash, Jonathan, de-Miguel, Sergio, Deng, Songqiu, Ellis, Peter Woods, Erasmus, Barend, Fekety, Patrick A., Fernandez-Landa, Alfredo, Ferraz, Antonio, Fischer, Rico, Fisher, Adrian G., García-Abril, Antonio, Gobakken, Terje, Hacker, Jorg M., Heurich, Marco, Hill, Ross A., Hopkinson, Chris, Huang, Huabing, Hubbell, Stephen P., Hudak, Andrew T., Huth, Andreas, Imbach, Benedikt, Jeffery, Kathryn J., Katoh, Masato, Kearsley, Elizabeth, Kenfack, David, Kljun, Natascha, Knapp, Nikolai, Král, Kamil, Krůček, Martin, Labrière, Nicolas, Lewis, Simon L., Longo, Marcos, Lucas, Richard M., Main, Russell, Manzanera, Jose A., Martínez, Rodolfo Vásquez, Mathieu, Renaud, Memiaghe, Herve, Meyer, Victoria, Mendoza, Abel Monteagudo, Monerris, Alessandra, Montesano, Paul, Morsdorf, Felix, Næsset, Erik, Naidoo, Laven, Nilus, Reuben, O’Brien, Michael, Orwig, David A., Papathanassiou, Konstantinos, Parker, Geoffrey, Philipson, Christopher, Phillips, Oliver L., Pisek, Jan, Poulsen, John R., Pretzsch, Hans, Rüdiger, Christoph, Saatchi, Sassan, Sanchez-Azofeifa, Arturo, Sanchez-Lopez, Nuria, Scholes, Robert, Silva, Carlos A., Simard, Marc, Skidmore, Andrew, Stereńczak, Krzysztof, Tanase, Mihai, Torresan, Chiara, Valbuena, Ruben, Verbeeck, Hans, Vrska, Tomas, Wessels, Konrad, White, Joanne C., White, Lee J.T., Zahabu, Eliakimu, Zgraggen, Carlo

“…The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. …”
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