No place to hide: Rare plant detection through remote sensing
نویسندگان
چکیده
Abstract Aim Detection of rare species is limited by their intrinsic nature and the constraints associated with traditional field surveys. Remote sensing (RS) provides a powerful alternative to detection methods through increasing availability RS products. Here, we assess capacity at high medium resolution detect plants direct indirect approaches, how performance can be influenced characteristics species. Methods An extensive literature review was conducted synthesize use or predict plant occurrence (<30 m 30–300 m, respectively). The concept “rarity” based on Rabinowitz's classification. performed in Scopus for period 1990–2020. Results While often limited, it possible very spatial data distinctive traits. also able capture biophysical conditions driving distributions, which indirectly provide accurate predictions them. Both approaches have potential discover new populations plants. feed SAMs plants, combined SDMs valuable approach detection. space occupied within its habitat morphological, phenological physiological characteristics, predictive RS‐based (indirect detection) size, specificity features Similarly, model rarity form target according classification criteria. Main conclusions. With this synthesis, strong purposes prediction has been highlighted, practical applications conservation management.
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ژورنال
عنوان ژورنال: Diversity and Distributions
سال: 2021
ISSN: ['1472-4642', '1366-9516']
DOI: https://doi.org/10.1111/ddi.13244