Determination method of minimum sampling area and minimum sampling interval of forest monitored sample plot in Karst region

Abstract

The invention discloses a determination method of a minimum sampling area and a minimum sampling interval of a forest monitored sample plot in a Karst region. The method includes (1) determining a Mulun Karst national natural protection original forest as a research region; (2) establishing a dynamic monitoring sample plot on the Mulun protection area according to CTFS (center for tropical forest science) sample plot building standard; (3) dividing the whole sample plot into 50 sample squares of 20m X 20m and recording names, diameters, heights, crown breadth, three-dimensional coordinates growing states and the like of individual trees with the diameter more than or equal to 1cm; (4) selecting community structure attribute indexes of intensity, average crown breadth, coverage, significance and average height, and diversity indexes of tree species, Shannon-Wiener index, Simpson dominance index and evenness in 200 small sample squares of 10m X 10m; and (5) analyzing data with SPSS16.0\GS+ software, and determining the minimum sampling area and the minimum sampling interval of the monitored sample plot of a Karst mixed evergreen and deciduous broadleaved forest. The method is easy to implement, convenient to operate and accurate in acquired data, and provides important basis for guiding the establishment of dynamic monitored sample plot of southwestern Karst forests.

Description

Technical field [0001] The invention relates to the technical field of forest cultivation, and more specifically to a method for determining the minimum sampling area and interval for monitoring large sample plots of forest mixed forests in karst areas, and is suitable for forest vegetation spatial attributes, forest community biomass surveys and forest ecosystem carbon sequestration status etc. Background technique [0002] The spatial and temporal distribution pattern and maintenance mechanism of vegetation have always been a research hotspot in plant ecology, and also an important theoretical basis for the restoration and reconstruction of degraded ecosystems. Through the study of pattern, we can understand the mechanism and dynamics of community formation, maintenance and change. Under the control of climate, topography, landform, soil, disturbance and other natural and man-made effects and processes, the long-term interaction between individual vegetation has led to spatial...

AI Technical Summary

Problems solved by technology

However, there are relatively few studies on the species composition, distribution pattern and maintenance mechanism of forest ecosystems in karst areas, especially the minimum sampling area and interval of dynamic monitoring plots are even uncertain.