Landscape connectivity loss after the de-escalation of armed conflict in the Colombian Amazon (2011–2021)
(2024) In Global Ecology and Conservation 54.- Abstract
- Rapid deforestation has been well-documented in Colombia after the 2016 peace agreement with FARC. While many analysis using remote sensing identify land cover change, structural connectivity variables are less studied for understanding landscape transformation. In this work, we used data from the Landsat archive from 2011 to 2021, the Continuous Change Detection and Classification algorithm (CCDC), and Morphological Spatial Pattern Analysis (MSPA) to analyze deforestation, land cover change, and landscape connectivity in northwestern Colombia’s Amazon. We examined the spatial patterns in three specific subsets in the Colombian arc of deforestation, with a special focus on the surroundings of the National Natural Park Serranía de... (More)
- Rapid deforestation has been well-documented in Colombia after the 2016 peace agreement with FARC. While many analysis using remote sensing identify land cover change, structural connectivity variables are less studied for understanding landscape transformation. In this work, we used data from the Landsat archive from 2011 to 2021, the Continuous Change Detection and Classification algorithm (CCDC), and Morphological Spatial Pattern Analysis (MSPA) to analyze deforestation, land cover change, and landscape connectivity in northwestern Colombia’s Amazon. We examined the spatial patterns in three specific subsets in the Colombian arc of deforestation, with a special focus on the surroundings of the National Natural Park Serranía de Chiribiquete. Our results confirm changes in structural connectivity linked to pasture expansion from the conversion forest to pasture during the analyzed period showing changes in the borders of Serranía de Chiribiquete National Park along rivers and roads, where cattle is transported. Before 2016, the average annual deforested area in the three study areas was 27.93 km²; after 2016, this number increased to 73.36 km². The outcomes of our study contribute to an improved understanding of pasture dynamics. They can aid decision-making in areas that play a key role in ecological networks necessary for long-term conservation efforts. Our quantitative assessments have revealed a temporal shrinking of the core area, indicative of a decline in forest cover. Concurrently, we observed an expansion of the edge and background areas, which is consistent with the proliferation of pastures. This study presents methodology and data in support of policy-making for sustainable land use and ecological connectivity to mitigate further environmental degradation in the area. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/34b30ecb-685b-4626-b17f-889a554b45dc
- author
- López, Jesica LU ; Qian, Yuyang ; Murillo-Sandoval, Paulo José ; Clerici, Nicola and Eklundh, Lars LU
- organization
- publishing date
- 2024-10
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Landscape connectivity, CCDC, MSPA, Change detection algorithms, Land use, Cattle ranching, Deforestation, Colombian Amazon
- in
- Global Ecology and Conservation
- volume
- 54
- article number
- e03094
- publisher
- Elsevier
- external identifiers
-
- scopus:85199976620
- ISSN
- 2351-9894
- DOI
- 10.1016/j.gecco.2024.e03094
- project
- From Canopy to Catastrophe: Understanding the Environmental Crisis in Northern Colombian Amazon
- language
- English
- LU publication?
- yes
- id
- 34b30ecb-685b-4626-b17f-889a554b45dc
- date added to LUP
- 2024-08-05 09:14:30
- date last changed
- 2024-09-03 06:55:12
@article{34b30ecb-685b-4626-b17f-889a554b45dc, abstract = {{Rapid deforestation has been well-documented in Colombia after the 2016 peace agreement with FARC. While many analysis using remote sensing identify land cover change, structural connectivity variables are less studied for understanding landscape transformation. In this work, we used data from the Landsat archive from 2011 to 2021, the Continuous Change Detection and Classification algorithm (CCDC), and Morphological Spatial Pattern Analysis (MSPA) to analyze deforestation, land cover change, and landscape connectivity in northwestern Colombia’s Amazon. We examined the spatial patterns in three specific subsets in the Colombian arc of deforestation, with a special focus on the surroundings of the National Natural Park Serranía de Chiribiquete. Our results confirm changes in structural connectivity linked to pasture expansion from the conversion forest to pasture during the analyzed period showing changes in the borders of Serranía de Chiribiquete National Park along rivers and roads, where cattle is transported. Before 2016, the average annual deforested area in the three study areas was 27.93 km²; after 2016, this number increased to 73.36 km². The outcomes of our study contribute to an improved understanding of pasture dynamics. They can aid decision-making in areas that play a key role in ecological networks necessary for long-term conservation efforts. Our quantitative assessments have revealed a temporal shrinking of the core area, indicative of a decline in forest cover. Concurrently, we observed an expansion of the edge and background areas, which is consistent with the proliferation of pastures. This study presents methodology and data in support of policy-making for sustainable land use and ecological connectivity to mitigate further environmental degradation in the area.}}, author = {{López, Jesica and Qian, Yuyang and Murillo-Sandoval, Paulo José and Clerici, Nicola and Eklundh, Lars}}, issn = {{2351-9894}}, keywords = {{Landscape connectivity; CCDC; MSPA; Change detection algorithms; Land use; Cattle ranching; Deforestation; Colombian Amazon}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Global Ecology and Conservation}}, title = {{Landscape connectivity loss after the de-escalation of armed conflict in the Colombian Amazon (2011–2021)}}, url = {{http://dx.doi.org/10.1016/j.gecco.2024.e03094}}, doi = {{10.1016/j.gecco.2024.e03094}}, volume = {{54}}, year = {{2024}}, }