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Article

Agents of Forest Disturbance in the Argentine Dry Chaco

1
Geography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin, Germany
2
Georges Lemaître Centre for Earth and Climate Research, Earth and Life Institute, Université Catholique de Louvain, 3, Place Louis Pasteur, 1348 Louvain-la-Neuve, Belgium
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Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán, CC:34, Yerba Buena CP 4107, Tucumán, Argentina
4
School of Earth, Energy & Environmental Sciences, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
5
Woods Institute for the Environment, Stanford University, 473 Via Ortega, Stanford, CA 94305, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Elias Symeonakis
Remote Sens. 2022, 14(7), 1758; https://doi.org/10.3390/rs14071758
Received: 22 February 2022 / Revised: 28 March 2022 / Accepted: 29 March 2022 / Published: 6 April 2022
(This article belongs to the Special Issue Land Degradation Assessment with Earth Observation II)
Forest degradation in the tropics is a widespread, yet poorly understood phenomenon. This is particularly true for tropical and subtropical dry forests, where a variety of disturbances, both natural and anthropogenic, affect forest canopies. Addressing forest degradation thus requires a spatially-explicit understanding of the causes of disturbances. Here, we apply an approach for attributing agents of forest disturbance across large areas of tropical dry forests, based on the Landsat image time series. Focusing on the 489,000 km2 Argentine Dry Chaco, we derived metrics on the spectral characteristics and shape of disturbance patches. We then used these metrics in a random forests classification framework to estimate the area of logging, fire, partial clearing, riparian changes and drought. Our results highlight that partial clearing was the most widespread type of forest disturbance from 1990–to 2017, extending over 5520 km2 (±407 km2), followed by fire (4562 ± 388 km2) and logging (3891 ± 341 km2). Our analyses also reveal marked trends over time, with partial clearing generally becoming more prevalent, whereas fires declined. Comparing the spatial patterns of different disturbance types against accessibility indicators showed that fire and logging prevalence was higher closer to fields, while smallholder homesteads were associated with less burning. Roads were, surprisingly, not associated with clear trends in disturbance prevalence. To our knowledge, this is the first attribution of disturbance agents in tropical dry forests based on satellite-based indicators. While our study reveals remaining uncertainties in this attribution process, our framework has considerable potential for monitoring tropical dry forest disturbances at scale. Tropical dry forests in South America, Africa and Southeast Asia are some of the fastest disappearing ecosystems on the planet, and more robust monitoring of forest degradation in these regions is urgently needed. View Full-Text
Keywords: disturbance agents; disturbance regimes; forest degradation; Landsat time series; land use; LandTrendr; tropical dry forests disturbance agents; disturbance regimes; forest degradation; Landsat time series; land use; LandTrendr; tropical dry forests
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MDPI and ACS Style

De Marzo, T.; Gasparri, N.I.; Lambin, E.F.; Kuemmerle, T. Agents of Forest Disturbance in the Argentine Dry Chaco. Remote Sens. 2022, 14, 1758. https://doi.org/10.3390/rs14071758

AMA Style

De Marzo T, Gasparri NI, Lambin EF, Kuemmerle T. Agents of Forest Disturbance in the Argentine Dry Chaco. Remote Sensing. 2022; 14(7):1758. https://doi.org/10.3390/rs14071758

Chicago/Turabian Style

De Marzo, Teresa, Nestor I. Gasparri, Eric F. Lambin, and Tobias Kuemmerle. 2022. "Agents of Forest Disturbance in the Argentine Dry Chaco" Remote Sensing 14, no. 7: 1758. https://doi.org/10.3390/rs14071758

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