Abstract

The contribution of biodiversity to the global economy, human survival, and welfare has been increasing significantly, but the anthropogenic pressure as a threat to the pristine habitat has followed. This study aims to identify habitat suitability, analyze the change in habitat quality from 1988 to 2018, and to investigate the correlation between impact factors and habitat quality. The InVEST habitat quality model was used to analyze the spatiotemporal change in habitat quality in individual land-use types in the Winike watershed. Remote sensing data were used to analyze the land use/land cover changes. Nine threat sources, their maximum distance of impact, mode of decay, and sensitivity to threats were also estimated for each land-use cover type. The analysis illustrates that habitat degradation in the watershed was continuously increasing over the last three decades (1988 to 2018). Each threat impact factor and habitat sensitivity have increased for the last 30 years. The most contributing factor of habitat degradation was the 25.41% agricultural expansion in 2018. Population density, land-use intensity, elevation, and slope were significantly correlated with the distribution of habitat quality. Habitat quality degradation in the watershed during the past three decades suggested that the conservation strategies applied in the watershed ecosystem were not effective. Therefore, this study helps decision makers, particularly regarding the lack of data on biodiversity. It further looks into the conflict between economic development and conservation of biodiversity.

Highlights

  • The contribution of biodiversity to the global economy, human survival, and welfare has increased recently [1,2]

  • Increasing urbanization resulted in increasing pollution accumulation, which affected habitat quality significantly

  • The results show that there has been a significant land use/land cover (LULC) change in the study area over the past three decades (1988 to 2018)

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Summary

Introduction

The contribution of biodiversity to the global economy, human survival, and welfare has increased recently [1,2]. Biodiversity includes the diversity of animals, plants, and microorganisms at the genetic, species, and ecosystem levels providing regulating, supporting, and cultural ecosystem services [3,4]. The decline in biodiversity is higher than in the past and is expected to rise in the future [5,6] due to the growing anthropogenic pressure on natural habitats [1,7,8,9]. This pressure affects land-use dynamics [10]. One of the possibilities that are available for practice is the use of so-called decision support systems (DSSs), which can help users manage land for environmental protection [15,16]

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