Incorporating temporality and biophysical vulnerability to quantify the human spatial footprint on ecosystems

• Published in: Biological conservation 2011-05, Vol.144 (5), p.1585-1594
• Main Authors: Etter, A., McAlpine, C.A., Seabrook, L., Wilson, K.A.
• Format: Article
• Language: English
• Subjects: Animal and plant ecology; Animal, plant and microbial ecology; anthropogenic activities; Applied ecology; biodiversity; Biological and medical sciences; Biophysical vulnerability; case studies; Conservation, protection and management of environment and wildlife; ecological footprint; ecological function; ecosystem services; ecosystems; Fundamental and applied biological sciences. Psychology; General aspects; global change; Human impact; human population; humans; infrastructure; land policy; land use; Land use intensity; Landscape transformation; landscapes; Monitoring; Parks, reserves, wildlife conservation. Endangered species: population survey and restocking; population density; primary productivity; socioeconomic factors; Synecology
• ISSN: 0006-3207; 1873-2917
• DOI: 10.1016/j.biocon.2011.02.004

Land use is a pervasive influence on most terrestrial ecosystems. Humans are converting natural ecosystems and appropriating an increasingly large portion of the net primary productivity of the Earth’s ecosystems, leaving a rapidly expanding footprint on the environment and threatening the functioning of ecosystems and the ecological services they provide. Understanding the impacts of human activities on the environment from a local to a global scale requires an adequate representation of human modified landscapes and an explanation of the relationships between socioeconomic and biophysical factors. A first step towards this objective is the development of a quantitative measure of the spatial footprint of humans on landscapes, which can then be used as an analytical and monitoring tool for global change, biodiversity and ecosystem studies. Existing approaches have been based mainly on geographic proxies of human influence such as population density, land transformation, accessibility and infrastructure. In this paper, we developed a more comprehensive and spatially-explicit footprint index based on three dimensions: land use intensity, intervention time, and biophysical vulnerability, which we then applied to Colombia as a case study. We found the inclusion of the vulnerability index provided an effective means to address regional variability in biophysical responses to land use impacts. Accounting for the duration of human intervention provided new insights into the relative capacity of ecosystems to recover or be restored. From this knowledge, more appropriate land use policies can be developed.