AIM: Assess climatic risk to vegetation types associated with tropical and temperate ecosystems based on exposure analysis, which models future risk as a function of deviation from current climate variable distributions. LOCATION: Oaxaca State, Mexico. TAXON: Broadly defined vegetation types used in state‐ and national‐level vegetation classification systems. These types can be grouped into series representing dry‐to‐wet conditions for tropical and temperate vegetation. METHODS: We used climate exposure analysis to compare current and future climate parameters for the major vegetation types of Oaxaca. This technique integrates a recent vegetation map with historical climate data (1981–2010) to produce a baseline climate layer that is compar...
Species distribution models have become some of the most important tools for the assessment of the i...
Cloud forest is a sensitive and vulnerable ecosystem that is threatened by human activities as well ...
Ecological models have predicted shifts in forest biomes, yet there have been very few studies that ...
AIM: Assess climatic risk to vegetation types associated with tropical and temperate ecosystems base...
Climate change effects are already apparent in some Southwestern US forests and are expected to inte...
We define vulnerability here as the extent to which climate change may damage or harm a system, depe...
Climate change effects are expected to be more severe for some segments of society than others. In M...
This database entry provides climate-based seed zone system for Mexico to address climate change obs...
Climate change is recognized as an important threat to global biodiversity because it increases the ...
Central America has high biodiversity, it harbors high-value ecosystems and it’s important to provid...
An index with the potential to integrate different climate hazards into a single parameter is requir...
The many Gondwanic vegetation types found across the extensive latitudes and elevation gradients of ...
The likelihood and magnitude of the impacts of climate change on potential vegetation and the water ...
The likelihood and magnitude of the impacts of climate change on potential vegetation and the water ...
According to the last report of the Intergovernmental Panel on Climate Change, human activities are ...
Species distribution models have become some of the most important tools for the assessment of the i...
Cloud forest is a sensitive and vulnerable ecosystem that is threatened by human activities as well ...
Ecological models have predicted shifts in forest biomes, yet there have been very few studies that ...
AIM: Assess climatic risk to vegetation types associated with tropical and temperate ecosystems base...
Climate change effects are already apparent in some Southwestern US forests and are expected to inte...
We define vulnerability here as the extent to which climate change may damage or harm a system, depe...
Climate change effects are expected to be more severe for some segments of society than others. In M...
This database entry provides climate-based seed zone system for Mexico to address climate change obs...
Climate change is recognized as an important threat to global biodiversity because it increases the ...
Central America has high biodiversity, it harbors high-value ecosystems and it’s important to provid...
An index with the potential to integrate different climate hazards into a single parameter is requir...
The many Gondwanic vegetation types found across the extensive latitudes and elevation gradients of ...
The likelihood and magnitude of the impacts of climate change on potential vegetation and the water ...
The likelihood and magnitude of the impacts of climate change on potential vegetation and the water ...
According to the last report of the Intergovernmental Panel on Climate Change, human activities are ...
Species distribution models have become some of the most important tools for the assessment of the i...
Cloud forest is a sensitive and vulnerable ecosystem that is threatened by human activities as well ...
Ecological models have predicted shifts in forest biomes, yet there have been very few studies that ...