Trend monitoring of the areal extent of habitats in a subsiding coastal area by spatial probability sampling

Monitoring habitat types by the mixed multinomial logit model using panel data

“…The proportion of permanent plots was 0.5. Brus et al (2014) found that the precision of the estimated linear trend of the areal fractions of vegetation types as obtained with the supplemented panel design was only marginally lower than for a static-synchronous design.…”

“…The most important abiotic drivers for the vegetation changes are probably (1) sea-level rise, (2) soil subsidence, and (3) a restoration project where vegetation and topsoil were removed in the NW of the study area in 2005 (cf. Brus et al, 2014). All these drivers act in the same direction, viz.…”

“…(Note that in this paper we use the term habitat type in the sense of EC (2007); in practice, the habitat typology in coastal areas is a course vegetation typology.) In a previous paper we used these data to estimate time trends in the areal fractions of local vegetation types (Brus et al, 2014). The areal fractions at the sampling times were estimated by design-based estimation, i.e.…”

Exploiting low-cost and commonly shared aerial photographs and LiDAR data for detailed vegetation structure mapping of the Wadden Sea island of Ameland

“…Here, three decades of natural gas extraction has resulted in soil subsidence, which has impacted vegetation structure and habitats. In addition to vegetation plot recordings to track changes in species composition (Van Dobben and Slim, 2012; Brus et al, 2014Brus et al, , 2016, wider spatial changes in vegetation structure must be monitored. Mapping of vegetation structure is also important for species identification and distribution modelling, since fauna and flora often have strong preferences for specific vegetation niches (Bunce et al, 2013).…”