A Classification of Major Naturally-Occurring Amazonian Lowland Wetlands

Junk, Wolfgang J.; Piedade, Maria Teresa Fernandez; Schöngart, Jochen; Cohn‐Haft, Mario; Adeney, J. Marion; Wittmann, Florian

doi:10.1007/s13157-011-0190-7

Cited by 553 publications

(529 citation statements)

References 63 publications

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“…In support of this conjecture, we note that the geographic distribution of the species ( fig. 9) corresponds closely to the distribution of white-water catchments in the Amazon Basin (Junk et al, 2011: fig. 1), and we boldly predict that P. pebas will eventually be found to inhabit the white-water Caquetá and Putumayo drainages of southeastern Colombia, from which we have yet to examine any material.…”

Section: Fig 14 Lateral View Of P2-m1 Of Philander Canus (A Amnh 2supporting

confidence: 59%

A Revision ofPhilander(Marsupialia: Didelphidae), Part 1:P. quica,P. canus, and a New Species from Amazonia

Voss

Díaz‐Nieto

Jansa

2018

American Museum Novitates

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This is the first installment of a revision of the didelphid marsupial genus Philander, commonly known as gray four-eyed opossums. Although abundant and widespread in lowland tropical forests from southern Mexico to northern Argentina, species of Philander are not well understood taxonomically, and the current literature includes many examples of conflicting species definitions and nomenclatural usage. Our revision is based on coalescent analyses of mitochondrial gene sequences, phylogenetic analyses of mitochondrial and nuclear genes, morphometric analyses, and firsthand examination of relevant type material. Based on these results, we provisionally recognize eight species, of which three are formally treated in this report: P. quica (Temminck, 1824), an Atlantic Forest endemic formerly known as P. frenatus (Olfers, 1818); P. canus (Osgood, 1913), a widespread species formerly treated as a synonym or subspecies of P. opossum (Linnaeus, 1758); and P. pebas, a new species endemic to Amazonia. The remaining, possibly valid, species of Philander can be allocated to two clades. The first is a cis-Andean complex that includes P. andersoni (Osgood, 1913); P. mcilhennyi Gardner and Patton, 1972; and P. opossum. The second is a transAndean complex that includes P. melanurus (Thomas, 1899) and P. pallidus (Allen, 1901). Among other nomenclatural acts, we designate a neotype for the long-problematic nominal taxon Didelphis superciliaris Olfers, 1818, and (in an appendix coauthored by Renate Angermann), we establish that Olfers' coeval binomen D. frenata is based on an eastern Amazonian type and is a junior synonym of P. opossum.

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Section: Fig 14 Lateral View Of P2-m1 Of Philander Canus (A Amnh 2supporting

confidence: 59%

A Revision ofPhilander(Marsupialia: Didelphidae), Part 1:P. quica,P. canus, and a New Species from Amazonia

Voss

Díaz‐Nieto

Jansa

2018

American Museum Novitates

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“…TOPMODEL-based implementations have proven successful at capturing the broad geographic distribution of wetlands and their seasonal variability (Gedney and Cox, 2003;Ringeval et al, 2012;Stocker et al, 2014;Zhu et al, 2014) but have consistently overestimated both the extent of wetlands and duration of inundation at global and regional scale when compared to existing surveys (Junk et al, 2011;Prigent et al, 2007;Quiquet et al, 2015). For instance, simulations using the Earth system model HadGEM2 predict much larger persistent Amazonian wetlands than an inventory (Collins et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties

et al. 2016

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Abstract.Simulations of the spatiotemporal dynamics of wetlands are key to understanding the role of wetland biogeochemistry under past and future climate. Hydrologic inundation models, such as the TOPography-based hydrological model (TOPMODEL), are based on a fundamental parameter known as the compound topographic index (CTI) and offer a computationally cost-efficient approach to simulate wetland dynamics at global scales. However, there remains a large discrepancy in the implementations of TOPMODEL in landsurface models (LSMs) and thus their performance against observations. This study describes new improvements to TOPMODEL implementation and estimates of global wetland dynamics using the LPJ-wsl (Lund-Potsdam-Jena Wald Schnee und Landschaft version) Dynamic Global Vegetation Model (DGVM) and quantifies uncertainties by comparing three digital elevation model (DEM) products (HYDRO1k, GMTED, and HydroSHEDS) at different spatial resolution and accuracy on simulated inundation dynamics. In addition, we found that calibrating TOPMODEL with a benchmark wetland data set can help to successfully delineate the seasonal and interannual variation of wetlands, as well as improve the spatial distribution of wetlands to be consistent with inventories. The HydroSHEDS DEM, using a riverbasin scheme for aggregating the CTI, shows the best accuracy for capturing the spatiotemporal dynamics of wetlands among the three DEM products. The estimate of global wetland potential/maximum is ∼ 10.3 Mkm 2 (10 6 km 2 ), with a mean annual maximum of ∼ 5.17 Mkm 2 for 1980-2010. When integrated with wetland methane emission submodule, the uncertainty of global annual CH 4 emissions from topography inputs is estimated to be 29.0 Tg yr −1 . This study demonstrates the feasibility of TOPMODEL to capture spatial heterogeneity of inundation at a large scale and highlights the significance of correcting maximum wetland extent to improve modeling of interannual variations in wetland area. It additionally highlights the importance of an adequate investigation of topographic indices for simulating global wetlands and shows the opportunity to converge wetland estimates across LSMs by identifying the uncertainty associated with existing wetland products.

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“…Consequently, rivers originating in the Andes (called "white water rivers") transport nutrient-rich sediments, whereas rivers originating in the lowlands tend to be nutrient poor ("black water rivers" if they carry organic acids and "clear water rivers" if they do not). River floodplains cover about 30 % of the basin (Junk et al, 2011b); ecosystems that are seasonally flooded by white waters are traditionally called várzea and are characterized by a high primary productivity and tree diversity (Wittmann et al, 2006), as compared to the ecosystems seasonally flooded by clear or black waters, which are called igapó. Because of nutrient transport by the white water rivers, an even steeper nutrient availability gradient exists between várzea and the terra firme ecosystems, which do not receive nutrients from seasonal floods.…”

Section: Amazon Basinmentioning

confidence: 99%

Evaluating the effect of nutrient redistribution by animals on the phosphorus cycle of lowland Amazonia

Buendía¹,

Kleidon²,

Manzoni³

et al. 2018

Biogeosciences

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Abstract. Phosphorus (P) availability decreases with soil age and potentially limits the productivity of ecosystems growing on old and weathered soils. Despite growing on ancient soils, ecosystems of lowland Amazonia are highly productive and are among the most biodiverse on Earth. P eroded and weathered in the Andes is transported by the rivers and deposited in floodplains of the lowland Amazon basin creating hotspots of P fertility. We hypothesize that animals feeding on vegetation and detritus in these hotspots may redistribute P to P-depleted areas, thus contributing to dissipate the P gradient across the landscape. Using a mathematical model, we show that animal-driven spatial redistribution of P from rivers to land and from seasonally flooded to terra firme (upland) ecosystems may sustain the P cycle of Amazonian lowlands. Our results show how P imported to land by terrestrial piscivores in combination with spatial redistribution of herbivores and detritivores can significantly enhance the P content in terra firme ecosystems, thereby highlighting the importance of food webs for the biogeochemical cycling of Amazonia.

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A Classification of Major Naturally-Occurring Amazonian Lowland Wetlands

Cited by 553 publications

References 63 publications

A Revision ofPhilander(Marsupialia: Didelphidae), Part 1:P. quica,P. canus, and a New Species from Amazonia

A Revision ofPhilander(Marsupialia: Didelphidae), Part 1:P. quica,P. canus, and a New Species from Amazonia

Modeling spatiotemporal dynamics of global wetlands: comprehensive evaluation of a new sub-grid TOPMODEL parameterization and uncertainties

Evaluating the effect of nutrient redistribution by animals on the phosphorus cycle of lowland Amazonia

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