Sentence examples for conservation software from inspiring English sources

We used systematic conservation software Marxan with Zones to select candidate areas for conservation.

The present study, focused in Wales (UK), uses the systematic conservation software Marxan with Zones to quantify the benefits of integrating extractive and non-extractive interests in the planning process of MPAs and assesses whether the impacts on affected users differs between single vs. multiple zones MPAs.

With conservation software like the Management Information System MISTT) and Spatial Monitoring and Reporting Tool (SMART), a better approach to the collection of population data and also patrol metrics such as catch-per-unit effort (CPUE) are becoming more prevalent.

But sales have been almost doubling each year (compared with about 5% annual growth for the entire car industry), and homes that own a plug-in car typically consume 58% more electricity, according to Opower, a seller of energy-conservation software.

Our method is based upon a literature review, expert knowledge, spatially explicit base data, conservation planning software, and spatial modelling.

One of the most efficient approaches for designing protected area (PA) networks is to use systematic conservation planning software.

Marxan is the most widely used conservation planning software in the world and is designed for solving complex conservation planning problems in landscapes and seascapes.

These results demonstrate the utility of systematic conservation planning software as a decision-support tool within a broader social process for MPA network design and implementation.

Using the conservation planning software Marxan and the Indo-west Pacific as a study region, an illustrative approach is developed here that incorporates climate change projections into the process of identifying priority areas for marine conservation.

Marxan conservation planning software was used to determine 20 broad-scale habitat types found in territorial seas, using data obtained from the European Environment Agency's Level 3 Predicted EUNIS Habitats GIS dataset.

Social data measuring the importance of the landscape was collected using public participation geographic information systems (PPGIS) while ecologically valuable areas were identified from species distributions and Zonation conservation prioritization software.