Ecological spatial patterns reflect the underlying processes that shape the structure of species and communities. Mechanisms like inter and intra species competition, dispersal and host-pathogen interactions are believed to act over a wide range of scales, and the inference of the process from the pattern is, despite its popularity, a challenging task. Here we call attention to a quite unexpected phenomenon in the extensively studied tropical forest at the Barro-Colorado Island (BCI): the spatial deployment of (almost) all tree species is statistically equivalent, once distances are normalized by , the typical distance between neighboring conspecific trees. Correlation function, cluster statistics and nearest-neighbor distance distribution become species-independent after this rescaling. Global observables (species frequencies) and local spatial structure appear to be interrelated. This "glocality" suggests a radical interpretation of recent experiments that show a correlation between species' abundance and the negative feedback among conspecifics. For the forest to be glocal, the negative feedback must govern spatial patterns over all scales.
Dogs on forest trails; Understanding ecology of Striped Hyena and wild Canids in the presence of free-ranging dogs in Udanti-Sitanadi Tiger Reserve, Central India using Joint Distribution and Deep Neural Networks
A multiscale theory based on metabolic scaling connects forest dynamics to tree-size distributions
University of Padova（帕多瓦大学）；Department TESAF, University of Padova（帕多瓦大学TESAF系）；National Biodiversity Future Center（国家生物多样性未来中心）；Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy “G. Galilei”, University of Padova（帕多瓦大学伽利略物理与天文学系跨学科物理实验室）；INFN, Sezione di Padova（意大利国家核物理研究所帕多瓦分部）；Department of Civil, Environmental and Architectural Engineering, University of Padova（帕多瓦大学土木、环境与建筑工程系）；CMCC Centro Euro-Mediterraneo sui Cambiamenti Climatici（欧洲地中海气候变化研究中心）
From biodiversity modelling to conservation action: a spatial indicator for prioritising tropical forest protection, restoration, and management
INRAE, National Research Institute on Agriculture, Food & the Environment（法国国家农业食品与环境研究院）；CIRAD, Centre for International Cooperation in Agricultural Research for Development（法国国际农业发展研究中心）
