[HTML][HTML] Adoption of machine learning techniques in ecology and earth science
A Thessen - One Ecosystem, 2016 - oneecosystem.pensoft.net
Background The natural sciences, such as ecology and earth science, study complex
interactions between biotic and abiotic systems in order to understand and make …
interactions between biotic and abiotic systems in order to understand and make …
[HTML][HTML] Agroforestry systems in a changing climate—challenges in projecting future performance
Agroforestry systems are complex assemblages of ecosystem components, each of which
responds to climate. Whereas climate change impacts on crops grown in monocultures can …
responds to climate. Whereas climate change impacts on crops grown in monocultures can …
[图书][B] Mapping species distributions: spatial inference and prediction
J Franklin, JA Miller - 2009 - books.google.com
Maps of species' distributions or habitat suitability are required for many aspects of
environmental research, resource management and conservation planning. These include …
environmental research, resource management and conservation planning. These include …
Predictive habitat distribution models in ecology
A Guisan, NE Zimmermann - Ecological modelling, 2000 - Elsevier
With the rise of new powerful statistical techniques and GIS tools, the development of
predictive habitat distribution models has rapidly increased in ecology. Such models are …
predictive habitat distribution models has rapidly increased in ecology. Such models are …
GLM versus CCA spatial modeling of plant species distribution
Despite the variety of statistical methods available for static modeling of plant distribution,
few studies directly compare methods on a common data set. In this paper, the predictive …
few studies directly compare methods on a common data set. In this paper, the predictive …
An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo‐absence data
R Engler, A Guisan, L Rechsteiner - Journal of applied ecology, 2004 - Wiley Online Library
Summary 1 Few examples of habitat‐modelling studies of rare and endangered species
exist in the literature, although from a conservation perspective predicting their distribution …
exist in the literature, although from a conservation perspective predicting their distribution …
Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients
J Franklin - Progress in physical geography, 1995 - journals.sagepub.com
Predictive vegetation mapping can be defined as predicting the geographic distribution of
the vegetation composition across a landscape from mapped environmental variables …
the vegetation composition across a landscape from mapped environmental variables …
Spatial modelling of biodiversity at the community level
Summary 1 Statistical modelling is often used to relate sparse biological survey data to
remotely derived environmental predictors, thereby providing a basis for predictively …
remotely derived environmental predictors, thereby providing a basis for predictively …
The Global Index of Vegetation‐Plot Databases (GIVD): a new resource for vegetation science
Question: How many vegetation plot observations (relevés) are available in electronic
databases, how are they geographically distributed, what are their properties and how might …
databases, how are they geographically distributed, what are their properties and how might …
Mapping wildland fuels for fire management across multiple scales: Integrating remote sensing, GIS, and biophysical modeling
RE Keane, R Burgan… - International Journal of …, 2001 - CSIRO Publishing
International Journal of Wildland Fire Page 1 P ublishing Address manuscripts and editorial
enquiries to: International Journal of Wildland Fire Editor in Chief Dr Gwynfor Richards …
enquiries to: International Journal of Wildland Fire Editor in Chief Dr Gwynfor Richards …