Data from: Human disturbance impacts on rainforest mammals are most notable in the canopy; especially for larger-bodied species
收藏Mendeley Data2024-06-25 更新2024-06-29 收录
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https://datadryad.org/stash/dataset/doi:10.5061/dryad.32464qs
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Arboreal occupancy dataframe (6 day interval)Site x Species matrix of arboreal camera trap records, where the numbers denote the number of "independent" captures obtained within a given six day window.occ_data_arb_6d.txtTerrestrial occupancy dataframe (6 day interval)Site x Species matrix of terrestrial camera trap records, where the numbers denote the number of "independent" captures obtained within a given six day windowocc_data_ter_6d.txtArboreal survey effortThe number of six-day intervals acquired at each arboreal camera station.occ_effort_arb_6d.txtTerrestrial survey effortThe number of six-day intervals acquired at each terrestrial camera station.occ_effort_ter_6d.txtSpecies CodesSpecies codes and metadata relating to the mammals included in the occupancy data frames.species_data.txtCamera Station CovariatesThe covariate data for each camera station. Where: STATION = station number; YEAR = survey year; SITE = study site; CAM.HEIGHT = height from the ground in m for arboreal cameras; CC = mean canopy cover (%); SHRUB = mean shrub density; CONN = estimated tree connectivity; TREE.DENSITY = surrounding tree density; CAN.HEIGHT = mean canopy height for the surrounding canopy layer; CAM.BEARING = camera bearing; ASL = meters above seas level; RIV.DIST = euclidean distance to the nearest navigable river; FOREST.LOSS = surrounding canopy loss; COMM.DIST = euclidean distance to the nearest community; UNIQUE = unique station identifier (arboreal strata); UNIQUE.TER = unique station identifier (terrestrial); SurveyName = survey code for occupancy analysis; FACTOR1 = first principal component of disturbance features; FACTOR2 = second principal component of disturbance features.station_covariates.txtJags codeThe code for the Royle Nichols multi season occupancy model.MSRoyleNicholsMSOccJAGS_X_YEAR.txt
创建时间:
2023-06-28



