Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation
The interactions between climate and land-use change are dictating the distribution of flora and fauna and reshuffling biotic community composition around the world. Tropical mountains are particularly sensitive because they often have a high human population density, a long history of agriculture,...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/24159
- Acceso en línea:
- https://doi.org/10.1111/gcb.14618
https://repository.urosario.edu.co/handle/10336/24159
- Palabra clave:
- Agriculture
Forest dynamics
Land cover
Land use
Modis
Regeneration
Satellite imagery
Vegetation dynamics
Andes
Colombia
Biodiversity
Colombia
Ecosystem
Forest
Satellite imagery
South america
Tree
Tropic climate
Validation study
Biodiversity
Colombia
Ecosystem
Forests
Satellite imagery
South america
Trees
Tropical climate
Agriculture
Coupled natural human systems
Expert validation
Forest loss and regeneration
Modis satellite imagery
- Rights
- License
- Abierto (Texto Completo)
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oai:repository.urosario.edu.co:10336/24159 |
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EDOCUR2 |
network_name_str |
Repositorio EdocUR - U. Rosario |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation |
title |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation |
spellingShingle |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation Agriculture Forest dynamics Land cover Land use Modis Regeneration Satellite imagery Vegetation dynamics Andes Colombia Biodiversity Colombia Ecosystem Forest Satellite imagery South america Tree Tropic climate Validation study Biodiversity Colombia Ecosystem Forests Satellite imagery South america Trees Tropical climate Agriculture Coupled natural human systems Expert validation Forest loss and regeneration Modis satellite imagery |
title_short |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation |
title_full |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation |
title_fullStr |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation |
title_full_unstemmed |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation |
title_sort |
Woody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validation |
dc.subject.keyword.spa.fl_str_mv |
Agriculture Forest dynamics Land cover Land use Modis Regeneration Satellite imagery Vegetation dynamics Andes Colombia Biodiversity Colombia Ecosystem Forest Satellite imagery South america Tree Tropic climate Validation study Biodiversity Colombia Ecosystem Forests Satellite imagery South america Trees Tropical climate Agriculture Coupled natural human systems Expert validation Forest loss and regeneration Modis satellite imagery |
topic |
Agriculture Forest dynamics Land cover Land use Modis Regeneration Satellite imagery Vegetation dynamics Andes Colombia Biodiversity Colombia Ecosystem Forest Satellite imagery South america Tree Tropic climate Validation study Biodiversity Colombia Ecosystem Forests Satellite imagery South america Trees Tropical climate Agriculture Coupled natural human systems Expert validation Forest loss and regeneration Modis satellite imagery |
description |
The interactions between climate and land-use change are dictating the distribution of flora and fauna and reshuffling biotic community composition around the world. Tropical mountains are particularly sensitive because they often have a high human population density, a long history of agriculture, range-restricted species, and high-beta diversity due to a steep elevation gradient. Here we evaluated the change in distribution of woody vegetation in the tropical Andes of South America for the period 2001–2014. For the analyses we created annual land-cover/land-use maps using MODIS satellite data at 250 m pixel resolution, calculated the cover of woody vegetation (trees and shrubs) in 9,274 hexagons of 115.47 km 2 , and then determined if there was a statistically significant (p and lt; 0.05) 14 year linear trend (positive—forest gain, negative—forest loss) within each hexagon. Of the 1,308 hexagons with significant trends, 36.6% (n = 479) lost forests and 63.4% (n = 829) gained forests. We estimated an overall net gain of ~500,000 ha in woody vegetation. Forest loss dominated the 1,000–1,499 m elevation zone and forest gain dominated above 1,500 m. The most important transitions were forest loss at lower elevations for pastures and croplands, forest gain in abandoned pastures and cropland in mid-elevation areas, and shrub encroachment into highland grasslands. Expert validation confirmed the observed trends, but some areas of apparent forest gain were associated with new shade coffee, pine, or eucalypt plantations. In addition, after controlling for elevation and country, forest gain was associated with a decline in the rural population. Although we document an overall gain in forest cover, the recent reversal of forest gains in Colombia demonstrates that these coupled natural-human systems are highly dynamic and there is an urgent need of a regional real-time land-use, biodiversity, and ecosystem services monitoring network. © 2019 The Authors. Global Change Biology Published by John Wiley and Sons Ltd |
publishDate |
2019 |
dc.date.created.spa.fl_str_mv |
2019 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:09:24Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:09:24Z |
dc.type.eng.fl_str_mv |
article |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.spa.spa.fl_str_mv |
Artículo |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1111/gcb.14618 |
dc.identifier.issn.none.fl_str_mv |
13652486 13541013 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/24159 |
url |
https://doi.org/10.1111/gcb.14618 https://repository.urosario.edu.co/handle/10336/24159 |
identifier_str_mv |
13652486 13541013 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
2126 |
dc.relation.citationIssue.none.fl_str_mv |
No. 6 |
dc.relation.citationStartPage.none.fl_str_mv |
2112 |
dc.relation.citationTitle.none.fl_str_mv |
Global Change Biology |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 25 |
dc.relation.ispartof.spa.fl_str_mv |
Global Change Biology, ISSN:13652486, 13541013, Vol.25, No.6 (2019); pp. 2112-2126 |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065473675&doi=10.1111%2fgcb.14618&partnerID=40&md5=6886f2fec1550a9fbde9344cf761cae3 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Blackwell Publishing Ltd |
institution |
Universidad del Rosario |
dc.source.instname.spa.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1828160595431522304 |
spelling |
7ee4a2dd-f583-4705-ab97-a6b5e21db1b647e898e4-24c7-4801-b065-06b268a0a86de4ff060c-b61d-426b-9544-8f21ed4830c00df8362d-a288-4940-a2f0-ce4bc43d5649da6739af-a128-4e9a-acf3-8582d8bc762815100dfc-413c-4cdf-9194-c22244553128010670dd-3cf0-45c7-ba38-4345920b09ee260528f5-626f-4901-8799-9432c40cff75e1b54d1f-181e-4f65-acc6-d156a87d80d71fa480d2-0585-4522-a0b6-2b98b8395691d476c139-7dec-40f2-b27f-309d4507a6f90ba82243-2a08-4d16-b443-72653de11a3ff5f607a5-b745-4a3e-9b82-016e28435ca752699585600dd624653-9788-468c-b44d-9572069c17fe3b7a0e6b-75fe-4893-99b8-c7c7b98669165fcc6254-cfaf-403c-9bfb-5e22dd985c102020-05-26T00:09:24Z2020-05-26T00:09:24Z2019The interactions between climate and land-use change are dictating the distribution of flora and fauna and reshuffling biotic community composition around the world. Tropical mountains are particularly sensitive because they often have a high human population density, a long history of agriculture, range-restricted species, and high-beta diversity due to a steep elevation gradient. Here we evaluated the change in distribution of woody vegetation in the tropical Andes of South America for the period 2001–2014. For the analyses we created annual land-cover/land-use maps using MODIS satellite data at 250 m pixel resolution, calculated the cover of woody vegetation (trees and shrubs) in 9,274 hexagons of 115.47 km 2 , and then determined if there was a statistically significant (p and lt; 0.05) 14 year linear trend (positive—forest gain, negative—forest loss) within each hexagon. Of the 1,308 hexagons with significant trends, 36.6% (n = 479) lost forests and 63.4% (n = 829) gained forests. We estimated an overall net gain of ~500,000 ha in woody vegetation. Forest loss dominated the 1,000–1,499 m elevation zone and forest gain dominated above 1,500 m. The most important transitions were forest loss at lower elevations for pastures and croplands, forest gain in abandoned pastures and cropland in mid-elevation areas, and shrub encroachment into highland grasslands. Expert validation confirmed the observed trends, but some areas of apparent forest gain were associated with new shade coffee, pine, or eucalypt plantations. In addition, after controlling for elevation and country, forest gain was associated with a decline in the rural population. Although we document an overall gain in forest cover, the recent reversal of forest gains in Colombia demonstrates that these coupled natural-human systems are highly dynamic and there is an urgent need of a regional real-time land-use, biodiversity, and ecosystem services monitoring network. © 2019 The Authors. Global Change Biology Published by John Wiley and Sons Ltdapplication/pdfhttps://doi.org/10.1111/gcb.146181365248613541013https://repository.urosario.edu.co/handle/10336/24159engBlackwell Publishing Ltd2126No. 62112Global Change BiologyVol. 25Global Change Biology, ISSN:13652486, 13541013, Vol.25, No.6 (2019); pp. 2112-2126https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065473675&doi=10.1111%2fgcb.14618&partnerID=40&md5=6886f2fec1550a9fbde9344cf761cae3Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAgricultureForest dynamicsLand coverLand useModisRegenerationSatellite imageryVegetation dynamicsAndesColombiaBiodiversityColombiaEcosystemForestSatellite imagerySouth americaTreeTropic climateValidation studyBiodiversityColombiaEcosystemForestsSatellite imagerySouth americaTreesTropical climateAgricultureCoupled natural human systemsExpert validationForest loss and regenerationModis satellite imageryWoody vegetation dynamics in the tropical and subtropical Andes from 2001 to 2014: Satellite image interpretation and expert validationarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Aide, T. MitchellGrau, H. RicardoGraesser, JordanAndrade?Nuñez, Maria JoseAráoz, EzequielBarros, Ana P.Campos?Cerqueira, MarconiChacon?Moreno, EulogioCuesta, FranciscoEspinoza, RaulPeralvo, ManuelPolk, Molly H.Rueda, XimenaSánchez Andrade, AdrianaYoung, Kenneth R.Zarbá, LucíaZimmerer, Karl S.10336/24159oai:repository.urosario.edu.co:10336/241592022-05-02 07:37:17.318061https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |