Results 101 to 110 of about 20,000 (276)

¿Dónde buscar troglobiontes? Ensayo de una cartografía predictiva con MaxEnt en Gran Canaria (islas Canarias)

open access: yes, 2014
Where should we search for troglobionts? A study of predictive cartography using MaxEnt in Gran Canaria (Canary Islands, Spain) A total of, 160 terrestrial troglobiont species are known to date in the Canary Islands.
Moreno, Á. C., Naranjo, M., Martín, S.
core  

From maxent to machine learning and back

open access: yes, 2016
To Jaynes, in his original paper [1], maxent is 'a method of reasoning which ensures that no unconscious arbitrary assumptions have been introduced', while fifty years later, the MAXENT conference home page suggests that the method 'is not yet fully ...
Sears, Timothy
core   +1 more source

Uncovering correlates of decline and critical refuges for a threatened terrestrial mammal

open access: yesConservation Biology, EarlyView.
Abstract Globally, the geographic ranges of numerous species are contracting. Identifying spatiotemporal patterns of threat impact can illuminate why species decline in some parts of their range but persist in others. We developed a correlative approach to identify species’ response thresholds and locate ecological refuge areas associated with ...
Natalya M. Maitz   +5 more
wiley   +1 more source

Ecological and Social Dimensions of Human-Bear Coexistence in Nepal's Gaurishankar Conservation Area. [PDF]

open access: yesEcol Evol
We modelled habitat suitability for Asiatic black bears in Nepal's Gaurishankar Conservation Area and combined it with community surveys to understand human–bear coexistence. Our results show that bear habitat is concentrated between 1000 and 3000 m and that conflict is rising in forest‐edge communities.
Bista S   +4 more
europepmc   +2 more sources

Integrating fossil data in ecological niche models to improve predictions of future habitat of Caribbean corals

open access: yesConservation Biology, EarlyView.
Abstract Ecological niche models (ENMs) are used to assess the abiotic preferences of species by linking their occurrences to the environmental conditions in which they live. We developed a fossil‐informed ENM framework that integrates mid‐Holocene and modern occurrences to test niche stability and reconstruct abiotic niche characteristics for four ...
Claire. M. Williams   +3 more
wiley   +1 more source

Averaged Maxent Models.

open access: yes, 2015
Maps of mean habitat suitability resulting from MaxEnt modeling of common dolphins (Delphinus delphis, “a” and “b”) and dusky dolphins (Lagenorhynchus obscurus “c” and “d”) within the study area for each study season.
Raúl Alberto González (757779)   +6 more
core   +1 more source

Protected areas and hunting system affect the survival and longevity of adult female Eurasian lynx in a source–sink population

open access: yesConservation Science and Practice, EarlyView.
Variation in cumulative survival time of adult female lynx across (a) area protection categories (UL—Unprotected Landscapes, PLA—Protected Landscape Areas, NP—National Parks) and (b) hunting system categories (NO—No Hunting, NPH—NP Hunting, SFH—State Forests Hunting, PFH—Private Forests Hunting, SFRH—State Forests Rented Hunting, SFO—Small Forest ...
Tereza Mináriková   +12 more
wiley   +1 more source

Modeling Marbled Murrelet nesting habitat: a quantitative approach using airborne laser scanning data in British Columbia, Canada

open access: yesAvian Conservation and Ecology
The Marbled Murrelet ( Brachyramphus marmoratus ) is a tree-nesting seabird found along the Pacific coast of North America whose forest nesting habitat has dramatically declined over the last century.
Cameron F. Cosgrove   +3 more
doaj   +1 more source

Specific leaf weight (A: Bioclim; B: Maxent) and regeneration index (C: Bioclim; D: Maxent) in relation to habitat suitability index.

open access: yes, 2013
Specific leaf weight (A: Bioclim; B: Maxent) and regeneration index (C: Bioclim; D: Maxent) in relation to habitat suitability index.
Ganeshaiah Kotiganahalli Narayanagowda (490995)   +5 more
core   +1 more source

Integrating remote‐sensing and meteorological data to identify key drivers of the potential distribution of a grassland grasshopper

open access: yesEcological Entomology, EarlyView.
An ensemble model achieved excellent accuracy (AUC = 0.973) in predicting the potential distribution of O. decorus asiaticus. Climate (temperature & August precipitation) and vegetation type are the primary drivers defining the species' suitable habitats.
Du Bobo   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy