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Taylor & Francis Group publishes books for all levels of academic study and professional development, across a wide range of subjects and disciplines.


Taylor & Francis Group publishes quality peer-reviewed journals under the Routledge and Taylor & Francis imprints. The newest part of the group, Cogent OA, offers a purely open access program.


Note from Land Portal:


Taylor & Francis Online contains many publications related to land issues, though mostly at the charge of a fee.

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Displaying 176 - 180 of 662

Global assessment of damage to coastal ecosystem vegetation from tropical storms

Journal Articles & Books
december, 2014
Global

This study reports on the first comprehensive global assessment of tropical storm (TS) impacts on coastal ecosystem vegetation along the landfall pathways of major hurricanes, cyclones and typhoons using satellite data of land cover vegetation for the years 2006 to 2012. Wind damage has been shown to reduce live vegetation pools of carbon, accelerate ecosystem respiration fluxes of carbon dioxide and thereby represent a potentially significant positive feedback to terrestrial greenhouse gas emissions.

Investigating syndromes of agricultural land degradation through past trajectories and future scenarios

Journal Articles & Books
december, 2014
Italy

In the last decades, due to climate changes, soil deterioration and land use/land cover (LULC) changes, land degradation (LD) has become one of the most important issues at the global, regional and local scale. In concrete terms, LD determines a reduction in the productivity of a territory and in its capacity of providing ecosystem goods and services. “Syndromes” of LD can be assessed in the past, and scenarios, conversely, can be developed for the future, as information baselines for sustainable land management strategies and interventions.

Automatic land-cover update approach integrating iterative training sample selection and a Markov Random Field model

Journal Articles & Books
december, 2014

Land-cover updating from remote-sensing data is an effective means of obtaining timely land-cover information. An automatic approach integrating iterative training sample selection (ITSS) and a Markov Random Field (MRF) model is proposed in this study to overcome the land-cover update problem when no previous remote-sensing data corresponding to the land-cover data are available.

Assessing soil erosion in Europe based on data collected through a European network

Journal Articles & Books
december, 2014
Europe

The European Commission Directorate-General for the Environment (DG Environment) and the European Environmental Agency (EEA) have identified soil organic matter conservation and mitigation of soil loss by erosion as priorities for the collection of policy-relevant soil data at the European scale. In order to support European Union (EU) soil management policies, soil quality indicators are required that can be applied using harmonized data for the EU Member States.

Oil and gas development in the Orenburg region of the Volga–Ural steppe zone: qualifying and quantifying disturbance regimes

Journal Articles & Books
december, 2014

This paper examines environmental disturbances related to energy development in the Orenburg region through a two-pronged approach. First, it ranks environmental performance per 25 administrative districts based on multidimensional clustering of 10 diagnostic indicators. Second, it examines land-use and land-cover (LULC) patterns in nine western administrative districts by classifying Landsat imagery and quantifying surface disturbance for the year 2001. Spatial analysis and descriptive statistics help identify the most disturbed administrative units.