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Data from: A new non-parametric method for analyzing replicated point patterns in ecology
负责人:
关键词:
Replicated patterns;second-order spatial structure;Spatial modeling
DOI:
doi:10.5061/dryad.72193
摘要:
processes. Thus, we introduce a new method for analyzing spatial point patterns that are replicated according to a two–factorial design. By summarizing
Data from: Colony size affects breeding density, but not spatial distribution type, in a seabird
负责人:
关键词:
colonial breeding;Density-dependence;nest spacing;random sequential adsorption;spatial nest patterning;spatial statistics
DOI:
doi:10.5061/dryad.sf7m0cg3c
摘要:
t is encountered. As such, it is important to quantify within-population spatial structuring and understand the factors that shape it. In this study, we make use of
Data from: Evolutionary branching in complex landscapes
负责人:
关键词:
competition;Speciation: ecological;Modeling: spatial;Theory;Dispersal;Modeling: individual based;Methods: computer simulations;Adaptation;Selection: natural
DOI:
doi:10.5061/dryad.43cj7
摘要:
Divergent adaptation to different environments can promote speciation, and it is thus important to consider spatial structure in models of speciati
Data from: Scale?dependent spatial patterns in benthic communities around a tropical island seascape
负责人:
关键词:
spatial scaling;upwelling;internal wave;Coral reef;seascape ecology;nutrients
DOI:
doi:10.5061/dryad.40bv330
摘要:
, spatial statistics, and predictive modeling to test whether predictable patterns emerge between coral reef benthic competitors across scales in response to intra
Data from: Fine-scale population dynamics in a marine fish species inferred from dynamic state-space models
负责人:
Rogers, Lauren A.
关键词:
state-space models population dynamics time-series age-structured model Bayesian spatial structure k-fold cross validation
DOI:
doi:10.5061/dryad.td8nb
摘要:
ly, we developed dynamic, age-structured, state-space models to test different hypotheses regarding the spatial structure of a population complex of coastal
Data from: Incorporating animal spatial memory in step selection functions
负责人:
关键词:
animal movement Biased Brownian Bridge kernel estimation cognitive maps GPS-tracking habitat selection spatial memory
DOI:
doi:10.5061/dryad.s5812
摘要:
to understand how animals use spatial learning to navigate across space because memory-biased navigation is directly linked to animals’ space use and home range
Data from: Overdispersed spatial patterning of dominant bunchgrasses in southeastern pine savannas
负责人:
关键词:
Interactions: plant\/plant;Grasslands;Muhlenbergia expansa;Ecology: community;Ctenium aromaticum;Ecology: population;Schizachyrium scoparium;Aristida stricta;community;Savanna;Schizachyrium tenerum
DOI:
doi:10.5061/dryad.20536
摘要:
e (< 0.3 m). This general pattern likely arises from a tussock-centered, distance-dependent mechanism e.g., inter-tussock competition. Non-random spatial patterns
Data from: Spatial correlated games
负责人:
关键词:
Correlation;games;spatial
DOI:
doi:10.5061/dryad.722sg
摘要:
The games are played in a two-dimensional lattice where the players interact with their neighbours. Four game-types are scrutinized by al
Data from: Foraging responses of sheep to plant spatial micro-patterns can cause diverse associational effects of focal plant at individual
负责人:
Wang, Ling
关键词:
foraging behavior foraging selectivity patch choice plant-herbivore interactions plant spatial distribution spatial scale associational plant defense
DOI:
doi:10.5061/dryad.88365
摘要:
forming spatially aggregated or dispersed micro-patterns. 4.Results showed that, compared with the aggregated plant micro-pattern, dispersed plant micro

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