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Of all our childhood memories, few are quite as thrilling, or as tactile, as those of climbing trees. Scampering up the rough trunk, spying on the world from the cool green shelter of the canopy, lying on a limb and looking up through the leaves at the summer sun almost made it seem as if we were made for trees, and trees for us.Even in adulthood, trees retain their power, from the refreshing way their waves of green break the monotony of a cityscape to the way their autumn transformations take our breath away. In this lavishly illustrated volume, the trees that have enriched our lives finally get their full due, through a focus on the humble leaves that serve, in a sense, as their public face. The Book of Leaves offers a visually stunning and scientifically engaging guide to six hundred of the most impressive and beautiful leaves from around the world. Each leaf is reproduced here at its actual size, in full color, and is accompanied by an explanation of the range, distribution, abundance, and habitat of the tree on which it’s found. Brief scientific and historical accounts of each tree and related species include fun-filled facts and anecdotes that broaden its portrait. The Henry’s Maple, for instance, found in China and named for an Irish doctor who collected leaves there, bears little initial resemblance to the statuesque maples of North America, from its diminutive stature to its unusual trifoliolate leaves. Or the Mediterranean Olive, which has been known to live for more than 1,500 years and whose short, narrow leaves only fall after two or three years, pushed out in stages by the emergence of younger leaves. From the familiar friends of our backyards to the giants of deep woods, The Book of Leaves brings the forest to life—and to our living rooms—as never before.
The studies presented in this volume are meant to The reason why we know relatively little about close some gaps in our knowledge of leaf anatomy inner leaf structure of trees from tropical humid of trees in tropical humid forests. Although xero forests is that the leaf anatomy of only a few species morphy of the foliage in tropical humid forests has or genera or - at the most - of an entire family has been much discussed, the statements have generally been studied in detail up to the present. Most of been based on sporadic anatomical studies of part i these studies are, therefore, of taxonomic interest. cular species or genera, a complete area of the size They cannot be included in this study because they of 155. 5 ha has certainly never been considered. do not supply the same information or amount of The present studies analyse an entire inventory of a data presented here. Anatomical studies are very time consuiming because the material first has to be given region in which the number of species and the number of individuals is very well known. This fact prepared and cut before observation can begin. In allows the elaboration of many ecological aspects, vestigation of about 50 characteristics in 230 species which was the main intention of the author.
Advances in close-range and remote sensing technologies are driving innovations in forest resource assessments and monitoring on varying scales. Data acquired with airborne and spaceborne platforms provide high(er) spatial resolution, more frequent coverage, and more spectral information. Recent developments in ground-based sensors have advanced 3D measurements, low-cost permanent systems, and community-based monitoring of forests. The UNFCCC REDD+ mechanism has advanced the remote sensing community and the development of forest geospatial products that can be used by countries for the international reporting and national forest monitoring. However, an urgent need remains to better understand the options and limitations of remote and close-range sensing techniques in the field of forest degradation and forest change. Therefore, we invite scientists working on remote sensing technologies, close-range sensing, and field data to contribute to this Special Issue. Topics of interest include: (1) novel remote sensing applications that can meet the needs of forest resource information and REDD+ MRV, (2) case studies of applying remote sensing data for REDD+ MRV, (3) timeseries algorithms and methodologies for forest resource assessment on different spatial scales varying from the tree to the national level, and (4) novel close-range sensing applications that can support sustainable forestry and REDD+ MRV. We particularly welcome submissions on data fusion.