Table 1 Selection of ecological vulnerability evaluation indicators and ecological significance for Karst WHSs

From: Spatiotemporal changes and driving factors of ecological vulnerability in karst World Heritage sites based on SRP and geodetector: a case study of Shibing and Libo-Huanjiang karst

Goal

Criterion

Factor

ID

Indicator

Ecological significance

Ecological vulnerability of Karst

WHSs

Ecological Sensitivity

Meteorology

X1

Dryness

Reflects the wetness or dryness of the study area and the impacted region (+).

X2

Annual precipitation

Rich water resources support higher biodiversity and vegetation coverage, better sustaining agricultural, forestry, and other production activities, thus enhancing ecosystem resilience (−).

X3

Annual temperature

Higher temperatures favor vegetation growth, increasing biodiversity and contributing to ecosystem stability (−).

Topography

X4

Aspect

Karst mountainous ecosystems play a significant role, reflecting differences in solar exposure duration and solar radiation intensity across mountain orientations within the study area (+).

X5

Slope

The degree of surface slope reflects the scale and intensity of material flow and energy transfer on the surface (+).

X6

Topographic relief

Terrain roughness affects soil erosion conditions and water resource distribution (+).

X7

DEM

Generally, in cases of natural disasters such as earthquakes, landslides, or collapses, areas with greater elevation in karst WHS tend to suffer more extensive damage (+).

Ecological recovery

Vegetation

X8

NDVI

Reflects the distribution of surface vegetation under natural climate change and human activities, serving as a key parameter to indicate vegetation growth and nutrient information (−).

X9

NPP

Represents the energy value of vegetation growth, development, and reproduction, indicating the production status of vegetation in the ecological environment (−).

Ecological pressure

Human Disturbance

X10

Landscape disturbance

Reflects the ability of landscape components to resist external disturbances and their self-recovery capability. The higher the disturbance applied to various landscape components, the greater their vulnerability (+).

X11

GDP

Reflects the ability of landscape components to resist external disturbances and their self-recovery capability. The higher the disturbance applied to various landscape components, the greater their vulnerability (+).

  1. + indicates positive indicators, − indicates negative indicators.