生命积分:通过参数Rao’s Q指数曲线下的面积从空间上跟踪生态系统的空间异质性

IF 3.1 3区 环境科学与生态学 Q2 ECOLOGY
Elisa Thouverai, M. Marcantonio, J. Lenoir, Mariasole Galfré, Elisa Marchetto, G. Bacaro, R. Cazzolla Gatti, D. Da Re, M. Di Musciano, R. Furrer, M. Malavasi, Vítězslav Moudrý, J. Nowosad, F. Pedrotti, R. Pelorosso, G. Pezzi, P. Šímová, C. Ricotta, S. Silvestri, E. Tordoni, Michele Torresani, G. Vacchiano, Piero Zannini, D. Rocchini
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引用次数: 4

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Integrals of life: Tracking ecosystem spatial heterogeneity from space through the area under the curve of the parametric Rao’s Q index
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来源期刊
Ecological Complexity
Ecological Complexity 环境科学-生态学
CiteScore
7.10
自引率
0.00%
发文量
24
审稿时长
3 months
期刊介绍: Ecological Complexity is an international journal devoted to the publication of high quality, peer-reviewed articles on all aspects of biocomplexity in the environment, theoretical ecology, and special issues on topics of current interest. The scope of the journal is wide and interdisciplinary with an integrated and quantitative approach. The journal particularly encourages submission of papers that integrate natural and social processes at appropriately broad spatio-temporal scales. Ecological Complexity will publish research into the following areas: • All aspects of biocomplexity in the environment and theoretical ecology • Ecosystems and biospheres as complex adaptive systems • Self-organization of spatially extended ecosystems • Emergent properties and structures of complex ecosystems • Ecological pattern formation in space and time • The role of biophysical constraints and evolutionary attractors on species assemblages • Ecological scaling (scale invariance, scale covariance and across scale dynamics), allometry, and hierarchy theory • Ecological topology and networks • Studies towards an ecology of complex systems • Complex systems approaches for the study of dynamic human-environment interactions • Using knowledge of nonlinear phenomena to better guide policy development for adaptation strategies and mitigation to environmental change • New tools and methods for studying ecological complexity
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