five

Candidate models used for inference on the productivity, richness and evenness of understory plant community responses to Dendroctonus ponderosae-induced tree mortality, light, soil moisture, and nutrients.

收藏
Figshare2015-12-03 更新2026-04-29 收录
下载链接:
https://figshare.com/articles/dataset/_Candidate_models_used_for_inference_on_the_productivity_richness_and_evenness_of_understory_plant_community_responses_to_Dendroctonus_ponderosae_induced_tree_mortality_light_soil_moisture_and_nutrients_/1374893
下载链接
链接失效反馈
官方服务:
资源简介:
Notes: The most likely models (wi>0.90; difference in evidence ratio>2.7) are shown in bold. AICC = Akaike’s Information Criterion corrected, ΔAICC = difference between AICCi and AICC best model, wi = Akaike weight, and evidence ratio = wj best model / wi.Candidate models used for inference on the productivity, richness and evenness of understory plant community responses to Dendroctonus ponderosae-induced tree mortality, light, soil moisture, and nutrients.

注:赤池权重(Akaike weight, wi)大于0.90、证据比差值大于2.7的最可能模型以粗体标注。其中,AICC为校正赤池信息准则(Akaike’s Information Criterion corrected),ΔAICC为第i个模型的AICC值与最优AICC模型的差值,wi为赤池权重,证据比为最优模型的wj与当前模型wi的比值。本研究使用候选模型来推断林下植物群落的生产力、丰富度与均匀度对山松甲虫(Dendroctonus ponderosae)诱导的树木死亡、光照、土壤湿度及养分的响应。
创建时间:
2015-12-03
二维码
社区交流群
二维码
科研交流群
商业服务