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Computational methods for marine reserve design are frequently used as decision-support tools for the identification of conservation areas.
Our results emphasize on delineating spatial trends of forest loss and fragmentation to support the identification of conservation sites.
In this paper, we made an integrative analysis for the identification of conservation priority areas and least-cost ecological corridors (ECs) in order to promote a more representative, connected and efficient ecological PA network for this country.
The reduced site productivity calls for an information system on soil resources, which allows the analysis of land suitability, potential food production, environmental impact of land use and the identification of conservation measures.
Therefore, the identification of conservation units that include and connect several ecosystems along natural (such as altitudinal) gradients is crucial to maintaining biological processes operating at broad spatial scales [26] [38], alongside the conservation of micro-habitats that allow the protection of micro-endemic and rare species [21].
Identification of conservation relations was done by computation the set of extreme rays using the Polco package [ 53].
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Because of the sequence conservation, identification of conserved miRNAs is not a difficult task provided sufficient genomic/EST resources are available for a plant species in question [ 13, 14].
Landscape level modeling of soil and water conservation has enabled identification of appropriate conservation measures that can are suited to particular biophysical niches.
Identification of priority conservation areas within the PPR is important given limited conservation funds and the large area, diversity of landcover, and variation in bird distribution and density within the region.
The 'Ariadne' conservation documentation system's conceptual model [21] has also assisted in the identification of the conservation steps in our analysis/condition reports.
As N. vectensis protein-coding genes appear to evolve at a rate comparable to, or even slower than vertebrates [ 49], the evolutionary distance between Edwardsiella and Nematostella is likely sufficient to facilitate the identification of functional conservation in protein sequence and structure; i.e., at this distance, sequence conservation is not likely to reflect mere phylogenetic inertia.
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