Measuring Tropical Deforestation with Error Margins: A Method for REDD Monitoring in South-Eastern Mexico

Couturier, Stéphane; Núñez, Juan Manuel; Kolb, Mélanie

doi:10.5772/31523

Cited by 17 publications

(24 citation statements)

References 26 publications

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“…The method was evaluated in two study areas in the tropical dry and humid forests of Mexico. Especially the performance of time series analysis was noticeable better in the Comillas region, which possesses high deforestation rates [42]. Moreover, we showed that the improvements in AGB estimations are caused by the application of BFAST-filtering and not by the reduction of the calibration data as shown for randomly selected data.…”

Section: Discussionmentioning

confidence: 71%

“…In this region BFAST excluded primarily outlier and mixed pixels in the low AGB range, which have changed over time. In contrast, in the Comillas region, where the deforestation activities have been observed since the 1960s [41,42], 18 field plots were excluded from the calibration data. In Comillas BFAST removed outlier and mixed pixels at low biomass range as well as plots with high biomass (>100 t/ha), indicating deforestation/forest degradation within those field plots (Figure 7).…”

Section: Resultsmentioning

confidence: 99%

“…Since the region has been treated as a main source for timber [40], it was massively deforested since 1960s [41]. The mean deforestation rates for the Lacandon rain forests (except Marques de Comillas) estimated for the periods 1974-1981 and 1981-1991 were 2.1% and 1.6% per year [41], and 2.1% per year from 1990 to 2010 for the Marques de Comillas region [42]. …”

Section: Study Areamentioning

confidence: 99%

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Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series

Urbazaev

Thiel

Migliavacca

et al. 2016

Forests

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Accurate estimates of aboveground biomass (AGB) are crucial to assess terrestrial C-stocks and C-emissions as well as to develop sustainable forest management strategies. In this study we used Synthetic Aperture Radar (SAR) data acquired at L-band and the Landsat tree cover product together with Moderate Resolution Image Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time series data to improve AGB estimations over two study areas in southern Mexico. We used Mexican National Forest Inventory (INFyS) data collected between 2005 and 2011 to calibrate AGB models as well as to validate the derived AGB products. We applied MODIS NDVI time series data analysis to exclude field plots in which abrupt changes were detected. For this, we used Breaks For Additive Seasonal and Trend analysis (BFAST). We modelled AGB using an original field dataset and BFAST-filtered data. The results show higher accuracies of AGB estimations using BFAST-filtered data than using original field data in terms of R 2 and root mean square error (RMSE) for both dry and humid tropical forests of southern Mexico. The best results were found in areas with high deforestation rates where the AGB models based on the BFAST-filtered data substantially outperformed those based on original field data (R 2 BFAST = 0.62 vs. R 2 orig = 0.45; RMSE BFAST = 28.4 t/ha vs. RMSE orig = 33.8 t/ha). We conclude that the presented method shows great potential to improve AGB estimations and can be easily and automatically implemented over large areas.

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Section: Discussionmentioning

confidence: 71%

Section: Resultsmentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

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Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series

Urbazaev

Thiel

Migliavacca

et al. 2016

Forests

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“…Unfortunately, it is increasingly deforested and fragmented. The annual deforestation rate in the region is between 1 and 8% (Couturier, Núñez, & Kolb, 2012;Mora, 2008), mainly to create agricultural and pasture lands. Management and conservation efforts should focus on preventing additional forest loss in the region, as: (1) many amphibians and reptiles are endemic to the Mayan forest; (2) the region shares <60% of the species with neighboring Mexican tropical forests, and (3) some species are particularly vulnerable to habitat loss and degradation (reviewed by Hernández-Ordóñez et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Range extensions of amphibians and reptiles in the southeastern part of the Lacandona rainforest, Mexico

Hernández‐Ordóñez¹,

Arroyo‐Rodríguez²,

González-Hernández³

et al. 2015

Revista Mexicana de Biodiversidad

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Revista Mexicana de Biodiversidad 86 (2015) 457-468 Biogeography Range extensions of amphibians and reptiles in the southeastern part of the Lacandona rainforest, Mexico Extensión del área de distribución de anfibios y reptiles en la parte sureste de la selva Lacandona, México Abstract The Lacandona rainforest represents one of the most diverse Mexican tropical wet forests. Although some studies have described the amphibians and reptiles of the region, most herpetological lists come from the northern part of the Lacandona, and there are no confirmed records for many of the expected species. We reviewed databases of scientific collections, taxonomy, and published herpetological lists to produce the most recent updated list of amphibian and reptile species in the region (35 amphibians and 90 reptiles). Furthermore, based on recent inventories (2007-2013) we establish 40 range extensions of 8 amphibians and 32 reptiles for the southeastern part of the Lacandona rainforest. Four out of these 40 records confirmed the occurrence of Dermophis mexicanus, Eleutherodactylus leprus, Pantherophis flavirufus, and Bothriechis schlegelii in the region. All Rights Reserved

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“…Unfortunately, this rainforest has been extensively deforested during the last 40 years, particularly in the Marqués de Comillas region (MCR). The area was originally covered by over 1.4 million ha of rainforest, but deforestation has eliminated 60% of the original forest cover [48][49], with an annual deforestation rate of 2.1% between 1990 and 2010 [50].…”

Section: Study Areamentioning

confidence: 99%

Association between Small Rodents and Forest Patch and Landscape Structure in the Fragmented Lacandona Rainforest, Mexico

San‐José

Arroyo‐Rodríguez

Sánchez‐Cordero

2014

Tropical Conservation Science

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Identifying the main factors that shape biological communities in human-modified tropical landscapes has key ecological and conservation implications. In these emerging landscapes, the maintenance of biodiversity may depend on both forest patch and landscape attributes, but this topic has been poorly investigated. Here we assessed the landscape (forest cover, degree of fragmentation, and matrix composition) and patch metrics (tree basal area, patch size, and isolation) that best predicted the abundance and diversity of small terrestrial rodents in the Lacandona rainforest, Mexico. In 2011 and 2012, we sampled rodent communities in 12 sites (9 patches and 3 areas within a continuous forest). We assessed the landscape characteristics within a 100-ha buffer from the center of each site. In total, we captured 78 individuals in 2011 and 82 individuals in 2012 from four species: Desmarest's Spiny Pocket Mouse (Heteromys desmarestianus), Rice Rat (Oryzomys sp.), Mexican Deermouse (Peromyscus mexicanus), and Toltec Cotton Rat (Sigmodon toltecus). Only the abundance of rodents was strongly associated with forest patch and landscape attributes, but the best predictors differed between years. The degree of fragmentation, matrix composition, and patch isolation showed the lowest impact on rodents, probably because the region is dominated by a highly heterogeneous anthropogenic matrix. Community composition was weakly related to patch and landscape attributes in both years. Overall, our findings suggest that almost a half-century of land use in the region has not led to significant changes at the community level, but additional longterm studies including arboreal species are needed before a strong conclusion can be drawn. Keywords: Fragmentation per se • Heteromys desmarestianus • Hyperdinamism • Long-term studies • Sigmodon toltecus ResumenIdentificar los factores principales que moldean las comunidades biológicas en paisajes tropicales fragmentados tiene implicaciones ecológicas y de conservación muy importantes. En estos paisajes antropogénicos, el mantenimiento de la biodiversidad puede depender de atributos espaciales del fragmento y del paisaje, sin embargo, este tema ha sido pobremente investigado. En este trabajo evaluamos las métricas del paisaje (cobertura forestal, grado de fragmentación y composición de la matriz) y del fragmento (área basal de árboles y tamaño y aislamiento del fragmento) que predicen de mejor manera la diversidad y abundancia de roedores terrestres pequeños en la selva Lacandona, México. En 2011 y 2012 muestreamos las comunidades de ratones en 12 sitios (9 fragmentos y 3 sitios dentro del bosque continuo). Evaluamos las características del paisaje dentro de un buffer de 100-ha a partir del centro de cada sitio. En promedio, capturamos 80 individuos de cuatro especies cada año: la rata espinosa (Heteromys desmarestianus), la rata arrocera (Oryzomys sp.), el ratón mexicano (Peromyscus mexicanus) y la rata algodonera (Sigmodon toltecus). Solamente la abundancia de roedores estuvo fuertemen...

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Measuring Tropical Deforestation with Error Margins: A Method for REDD Monitoring in South-Eastern Mexico

Cited by 17 publications

References 26 publications

Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series

Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series

Range extensions of amphibians and reptiles in the southeastern part of the Lacandona rainforest, Mexico

Association between Small Rodents and Forest Patch and Landscape Structure in the Fragmented Lacandona Rainforest, Mexico

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