Institution
College of Tropical Agriculture and Human Resources
About: College of Tropical Agriculture and Human Resources is a based out in . It is known for research contribution in the topics: Population & Tephritidae. The organization has 513 authors who have published 604 publications receiving 15798 citations.
Topics: Population, Tephritidae, Soil water, Ripening, Postharvest
Papers published on a yearly basis
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TL;DR: In this paper, the authors developed and evaluated a 2-band enhanced vegetation index (EVI2), without a blue band, which has the best similarity with the 3-band EVI, particularly when atmospheric effects are insignificant and data quality is good.
1,334 citations
TL;DR: Geostatistical analysis of spatial variability is applied to estimation of ore reserves in the mining industry, water resources research, soil science, and archaeology as mentioned in this paper, and identifies some future applications of geostatistics to spatial studies in soil and agronomic research.
Abstract: Publisher Summary This chapter reviews some of the traditional methods of describing soil variability, discusses geostatistical approaches to quantifying spatial dependence and their use for interpolation under different kinds of spatial variation, and identifies some future applications of geostatistics to spatial studies in soil and agronomic research. Recognition of the importance of spatial variability on land use has led to the study of soil heterogeneity, ranging from a global scale to changes in structural and chemical composition of soil minerals on a microscale. Soil classification and soil survey have traditionally been the most practical approaches to grouping similar and separating different soils on a regional scale. Variability of properties within soil mapping units and within smaller sampling units—such as fields, experimental plots, or pedons, is acknowledged and has been described by classical statistical methods. Developments in statistical theory enable spatial relationships among sample values to be quantified and used for interpolation of values at unsampled locations. These developments are based on the theory of regionalized variables. This theory takes into account both the structured and random characteristics of spatially distributed variables to provide quantitative tools for their description and optimal, unbiased estimation. Geostatistical analysis of spatial variability is applied to estimation of ore reserves in the mining industry, water resources research, soil science, and archaeology.
908 citations
Smithsonian Conservation Biology Institute1, Smithsonian Tropical Research Institute2, National Museum of Natural History3, Stanford University4, University of Alabama5, Wilfrid Laurier University6, Mahidol University7, Department of National Parks, Wildlife and Plant Conservation8, University of Aberdeen9, University of Queensland10, Environmental Change Institute11, Xishuangbanna Tropical Botanical Garden12, University of Buea13, Indiana University14, United States Forest Service15, Indian Institute of Science16, Chinese Academy of Sciences17, National University of Colombia18, Forest Research Institute Malaysia19, University of California, Santa Cruz20, University of Peradeniya21, University of Hong Kong22, University of Alberta23, Oak Ridge National Laboratory24, University of Wisconsin–Green Bay25, University of California, Los Angeles26, College of Tropical Agriculture and Human Resources27, Wageningen University and Research Centre28, Kyoto University29, University of Nairobi30, Wildlife Conservation Society31, University of Montana32, Nanyang Technological University33, Utah State University34, Smithsonian Environmental Research Center35, Centre national de la recherche scientifique36, Natural England37, Washington University in St. Louis38, Academy of Sciences of the Czech Republic39, University of São Paulo40, University of the Philippines Diliman41, Harvard University42, University of Hawaii at Hilo43, Maejo University44, National Dong Hwa University45, University of Toronto46, Washington State University Vancouver47, University of Puerto Rico, Río Piedras48, Columbia University49, Pontificia Universidad Católica del Ecuador50, National Institute of Amazonian Research51, East China Normal University52, University of Minnesota53
TL;DR: The broad suite of measurements made at CTFS-ForestGEO sites makes it possible to investigate the complex ways in which global change is impacting forest dynamics, and continued monitoring will provide vital contributions to understanding worldwide forest diversity and dynamics in an era of global change.
Abstract: Global change is impacting forests worldwide, threatening biodiversity and ecosystem services including climate regulation. Understanding how forests respond is critical to forest conservation and climate protection. This review describes an international network of 59 long-term forest dynamics research sites (CTFS-ForestGEO) useful for characterizing forest responses to global change. Within very large plots (median size 25ha), all stems 1cm diameter are identified to species, mapped, and regularly recensused according to standardized protocols. CTFS-ForestGEO spans 25 degrees S-61 degrees N latitude, is generally representative of the range of bioclimatic, edaphic, and topographic conditions experienced by forests worldwide, and is the only forest monitoring network that applies a standardized protocol to each of the world's major forest biomes. Supplementary standardized measurements at subsets of the sites provide additional information on plants, animals, and ecosystem and environmental variables. CTFS-ForestGEO sites are experiencing multifaceted anthropogenic global change pressures including warming (average 0.61 degrees C), changes in precipitation (up to +/- 30% change), atmospheric deposition of nitrogen and sulfur compounds (up to 3.8g Nm(-2)yr(-1) and 3.1g Sm(-2)yr(-1)), and forest fragmentation in the surrounding landscape (up to 88% reduced tree cover within 5km). The broad suite of measurements made at CTFS-ForestGEO sites makes it possible to investigate the complex ways in which global change is impacting forest dynamics. Ongoing research across the CTFS-ForestGEO network is yielding insights into how and why the forests are changing, and continued monitoring will provide vital contributions to understanding worldwide forest diversity and dynamics in an era of global change.
470 citations
TL;DR: Inoculants prepared with presterilized peat were enumerated by the pour, spread, and drop plate techniques and indicated that the three plating methods were interchangeable.
Abstract: Inoculants prepared with presterilized peat were enumerated by the pour, spread, and drop plate techniques. Results indicated that the three plating methods were interchangeable. The drop plate method was preferred because of its economy in materials and labor.
346 citations
TL;DR: In this paper, the negative effect of low temperature ( o C) on the shelf life of tropical plants and commodities has been known since at least the eighteenth century, while low temperature storage has the additional benefit of protecting non-appearance quality attributes: texture, nutrition, aroma and flavor.
340 citations
Authors
Showing all 513 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Lynne R. Wilkens | 90 | 517 | 28676 |
| John E. Mullet | 84 | 211 | 22958 |
| Qing X. Li | 53 | 626 | 13661 |
| Carol J. Boushey | 47 | 260 | 11750 |
| Adrian A. Franke | 45 | 110 | 6429 |
| Robert E. Paull | 41 | 147 | 7079 |
| Wayne B. Hunter | 41 | 181 | 5735 |
| Jiachao Zhang | 41 | 166 | 4868 |
| PingSun Leung | 40 | 209 | 5020 |
| Eric B. Jang | 39 | 127 | 4042 |
| Vivek R. Nerurkar | 37 | 143 | 4326 |
| Russell H. Messing | 37 | 128 | 3925 |
| Xin-Geng Wang | 33 | 103 | 2992 |
| Charles R. Clement | 33 | 225 | 4728 |
| Jaime C. Piñero | 31 | 82 | 2536 |