Predictor variables used for Moapa dace habitat modeling.
收藏数据链接：
官方服务：
资源简介：
Predictor variables used for Moapa dace habitat modeling.
应用场景：
创建时间：
2015-12-02
相关数据集
The influence of data resolution on predicted distribution and estimates of extent of current protection of three ‘listed’ deep-sea habitats
Modelling approaches have the potential to significantly contribute to the spatial management of the deep-sea ecosystem in a cost effective manner. However, we currently have little understanding of t
NIAID Data Ecosystem40
Future (mid-century, SSP3) distribution of Snapper (SNA), Chrysophrys [Pagrus] auratus
Download Future (mid-century, SSP3) distribution of Snapper (SNA), Chrysophrys [Pagrus] auratus - model uncertainty Data View on Map View ArcGIS Web Service Spatial predictions of habitat suitability
Department of Conservation Marine Data2025-06-01 更新20
Multi-scale Fish-habitat Associations and the Use of Habitat Surrogates to...
Deep-water demersal fishes are an important component of continental shelf and slope ecosystems and play an important role in the economies of many countries. Strong and...
澳大利亚2026-04-20 更新10
Summary of all covariates considered in the whale GAMMs: bathymetry, NASC values for 8 components of the micronekton from cruise data, currents absolute and vertical velocities, temperature and salinity at 11 depth levels from a general circulation model.
Summary of all covariates considered in the whale GAMMs: bathymetry, NASC values for 8 components of the micronekton from cruise data, currents absolute and vertical velocities, temperature and salini
NIAID Data Ecosystem30
Catch number of true tuna (Thunnus spp.) larvae collected in the Gulf of Mexico before (2007-2009), during (2010), and after (2011-2013; 2015) the Deepwater Horizon Oil Spill (DWHOS)
Catch number of true tunas (Thunnus thynnus [bluefin tuna], T. albacares [yellowfin tuna], T. obesus [bigeye tuna] and T. atlanticus [blackfin tuna]) before, during, and after the oil spill will be co
Gulf Research Initiative2017-04-20 更新10
