Land use drives change in amazonian tree species
نویسندگان
چکیده
منابع مشابه
Fire-free land use in pre-1492 Amazonian savannas.
The nature and scale of pre-Columbian land use and the consequences of the 1492 "Columbian Encounter" (CE) on Amazonia are among the more debated topics in New World archaeology and paleoecology. However, pre-Columbian human impact in Amazonian savannas remains poorly understood. Most paleoecological studies have been conducted in neotropical forest contexts. Of studies done in Amazonian savann...
متن کاملLand Use Change Explorer:
This paper describes a tool prototype named as Land Use Change Explorer, which was developed to allow different users to generate "GKD process tracking” (discovering land use change patterns) and “GKD process steering" (understanding uncertainty in these patterns as the process unfolds). The Land Use Change Explorer was implemented based on the GeoInsignt approach, previously described in Wacho...
متن کاملImpacts of biomass burning emissions and land use change on Amazonian atmospheric phosphorus cycling and deposition
[1] Phosphorus (P) availability constrains both carbon uptake and loss in some of the world’s most productive ecosystems. In some of these regions, atmospheric aerosols appear to be an important, if not dominant, source of new P inputs. For example, previous work suggests that mineral aerosols from North Africa bring significant amounts of new phosphorus to the P-impoverished soils of the Amazo...
متن کاملModeling Land-use and Land-cover Change
Models are used in a variety of fields, including land change science, to better understand the dynamics of systems, to develop hypotheses that can be tested empirically, and to make predictions and/or evaluate scenarios for use in assessment activities. Modeling is an important component of each of the three foci outlined in the science plan of the Land-use and -cover change (LUCC) project (Tu...
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ژورنال
عنوان ژورنال: Anais da Academia Brasileira de Ciências
سال: 2019
ISSN: 1678-2690,0001-3765
DOI: 10.1590/0001-3765201920190186