Abstract

In the megadiverse tropical mountain forest in the Andes of southern Ecuador, a global biodiversity hotspot, the use of fire to clear land for cattle ranching is leading to the invasion of an aggressive weed, the bracken fern, which is threatening diversity and the provisioning of ecosystem services. To find sustainable land use options adapted to the local situation, a profound knowledge of the long-term spatiotemporal patterns of land cover change and its drivers is necessary, but hitherto lacking. The complex topography and the high cloud frequency make the use of remote sensing in this area a challenge. To deal with these conditions, we pursued specific pre-processing steps before classifying five Landsat scenes from 1975 to 2001. Then, we quantified land cover changes and habitat fragmentation, and we investigated landscape changes in relation to key spatial elements (altitude, slope, and distance from roads). Good classification results were obtained with overall accuracies ranging from 94.5% to 98.5% and Kappa statistics between 0.75 and 0.98. Forest was strongly fragmented due to the rapid expansion of the arable frontier and the even more rapid invasion by bracken. Unexpectedly, more bracken-infested areas were converted to pastures than vice versa, a practice that could alleviate pressure on forests if promoted. Road proximity was the most important spatial element determining forest loss, while for bracken the altitudinal range conditioned the degree of invasion in deforested areas. The annual deforestation rate changed notably between periods: ~1.5% from 1975 to 1987, ~0.8% from 1987 to 2000, and finally a very high rate of ~7.5% between 2000 and 2001. We explained these inconstant rates through some specific interrelated local and national political and socioeconomic drivers, namely land use policies, credit and tenure incentives, demography, and in particular, a severe national economic and bank crisis.

Highlights

  • Human-induced land cover change is a threat to biodiversity and ecosystem services [1], in biodiversity hotspots of the tropics [2,3,4]

  • 98% and Kappa values from 0.75 to 0.98 (Table 5). These results suggest that the methodology followed to pre-process the Landsat images, including the atmospheric and topographic corrections and the further intercalibration, was successful

  • The described semi-automated pre-processing framework for Landsat satellite data provides a solid basis for land cover change analysis in the tropical Andes of southeastern Ecuador

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Summary

Introduction

Human-induced land cover change is a threat to biodiversity and ecosystem services [1], in biodiversity hotspots of the tropics [2,3,4]. Land cover change dynamics are extremely diverse and intricate because they depend strongly on complex regional interactions between people and the specific environment [5], crosscutting local to global scales [6,7]. Wide analysis of land cover change would not be possible without the use of remotely sensed data. The topographical complexity in such locations and the high cloud frequency of the Andes makes the use of remote sensing techniques a challenge [25,26,27]. Accurate atmospheric and topographic corrections of the satellite scenes are a prerequisite to obtain satisfactory classification results [25,28,29,30,31,32], but are not always performed due to time and resource limitations [33]

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