Species Distribution Modeling
Datos Bibliográficos
| ID | 5697403 |
|---|---|
| Autores | Jennifer A Miller (0000-0003-0078-9155, The University of Texas at Austin, autor de correspondencia), Jennifer Miller (0000-0002-4319-252X) |
| Año | 2010 |
| Volumen | 4 |
| Número | 6 |
| Páginas | 490-509 |
| Fecha de publicación | 2010-06-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Geography Compass (JOURNAL) |
| Identificadores de la revista | ISSN: 1749-8198 • E-ISSN: 1749-8198 |
| Editorial | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1749-8198.2010.00351.x |
| OpenAlex | W2158040254 |
| Idioma | EN |
| Citas recibidas | 13 |
| Referencias citadas | 86 |
The use of species distribution models (SDM) to map and monitor animal and plant distributions has become increasingly important in the context of awareness of environmental change and its ecological consequences. From their original inception as resource inventory and conservation mapping tools, SDM have evolved along with the increasing variety and availability of statistical methods, digital biological, and environmental data with which they are built in a geographic information system. Beyond predicting species distributions, these models have become an important and widely used decision-making tool for a variety of biogeographical applications, such as studying the effects of climate change, identifying potential protected areas, determining locations potentially susceptible to invasion, and mapping vector-borne disease spread and risk. This article outlines the steps involved in formulating an SDM and focuses on the conceptual and theoretical foundations on which it is based and identifies issues that have merited recent and will merit future research attention
Biology · Climate change · Data science · Environmental planning · Environmental resource management · Geography · Habitat · Species distribution · Computer Science · Ecology and Vegetation Dynamics Studies · Environmental Science · Species Distribution and Climate Change · Wildlife Ecology and Conservation · Artificial Intelligence · Ecology
Climate change refugia for glaciers in Patagonia
Vector-borne diseases in Brazil
Current trends of rubber plantation expansion may threaten biodiversity and livelihoods
Impacts of tropical deforestation on local temperature and human well-being perceptions
Are agricultural researchers working on the right crops to enable food and nutrition security under future climates
Systematic prioritisation of SDGs
Patterns and drivers of recent agricultural land-use change in Southern Germany
Species-specific effects of climate change on the distribution of suitable baboon habitats - Ecological niche modeling of current and Last Glacial Maximum conditions
Anticipatory Marine Conservation Outcomes
Agroforestry systems in a changing climate — challenges in projecting future performance
The history of Abies pinsapo during the Holocene in southern Spain, based on pedoanthracological analysis
Habitat and ecological niche characteristics of the elusive Hairy‐eared Dwarf Lemur ( Allocebus trichotis ) with updated occurrence and geographic range data
A Maxent Predictive Model for Hunter-Gatherer Sites in the Southern Pampas, Argentina
Novel methods improve prediction of species’ distributions from occurrence data
Very high resolution interpolated climate surfaces for global land areas
Predicting the impacts of climate change on the distribution of species
Original Article
Concluding Remarks
Species Distribution Models
Predicting species distribution
Maximum entropy modeling of species geographic distributions
Methods to account for spatial autocorrelation in the analysis of species distributional data
A review of methods for the assessment of prediction errors in conservation presence/absence models
Sample selection bias and presence‐only distribution models
Assessing the accuracy of species distribution models
Predictive habitat distribution models in ecology
Ecological Niches
| Obras citantes distintas | 13 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2013 - 2023 (11) |
| Velocidad de citación | historical |
| Altamente citado | No |
| Tipos de cita | Neutras: 5 |