Publications

In Preparation
Ranc N, Moorcroft PR, Ossi F, Cagnacci F. Memory drives foraging decisions in a large wild mammal: evidence from a field experiment. Proceedings of the National Academy of Sciences. In Preparation.
2021
Restrepo-Coupe N, Albert LP, Longo M, Baker I, Levine NM, Mercado LM, da Araujo AC, Christoffersen BO, M.H.Costa, Fitzjarrald DR, et al. Understanding water and energy fluxes in the Amazonia: Lessons from an observation-modelintercomparison. Glob. Change Biol. 2021;27 :1802-1819. gcb.15555.pdf
Fenton S, Moorcroft PR, Ćirović D, et al. Movement, space‑use and resource preferences of European golden jackals in human‑dominated landscapes: insights from a telemetry study . Mamm Biol. 2021. fenton2021_article_movementspace-useandresourcepr.pdf
Ranc N, Moorcroft P, Ossi F, Cagnaci F. Experimental evidence of memory-based foraging decisions in a large wild mammal. Proceedings of the National Academy of Sciences. 2021;118 (15) :e2014856118. Publisher's Version e2014856118.full_.pdf
Xu X, Konings AG, Longo M, Feldman A, Xu L, Saatchi S, Wu D, Wu J, Moorcroft P. Leaf surface water, not plant water stress, drives diurnal variation in tropical forest canopy water content. New Phytologist. 2021;231 :122-136. Publisher's Version new_phytologist_xu_et_al.pdf
Bright Ross JG, Peters W, Ossi F, et al. Climate change and anthropogenic food manipulation interact in shifting the distribution of a large herbivore at its altitudinal range limit. Scientific Reports . 2021;11 (7600). s41598-021-86720-2.pdf
2020
K.Zhang, Ali A, Antonarakis A, Moghaddam M, Saatchi S, Tabatabaeenejad A, Chen R, Jaruwatanadilok S, Cuenca R, Crow WT, et al. The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar-Derived Estimates of Root Zone Soil Moisture. Journal of Geophysical Research – Biogeosciences. 2020;124 :3208–3231. The Sensitivity of North American Terrestrial Carbon Fluxes to Spatial and Temporal Variation in Soil Moisture: An Analysis Using Radar-Derived Estimates of Root Zone Soil Moisture
Arias ME, Farinosi F, Lee E, Livino A, Briscoe J, Moorcroft PR. Impacts of climate change and deforestation on hydropower planning in the Brazilian Amazon . Nature Sustainability. 2020;3 :430–436. s41893-020-0492-y.pdf
Ranc N, Moorcroft PR, Hansen KW, Ossi F, Sforna T, Ferraro E, Brugnoli A, Cagnacci F. Preference and familiarity mediate spatial responses of a large herbivore to experimental manipulation of resource availability. Scientific Reports. 2020 :0.1038/s41598-020-68046-7. Preference and familiarity mediate spatial responses of a large herbivore to experimental manipulation of resource availability
Holm JA, Knox RG, Zhu Q, Fisher RA, Koven CD, Lima AJN, Riley WJ, Longo M, Negrón‐Juárez RI, de Araujo AC, et al. The central Amazon biomass sink under current and future atmospheric CO2 Predictions from big‐leaf and demographic vegetation models. Journal of Geophysical Research: Biogeosciences. 2020;125 :e2019JG005500. The central Amazon biomass sink under current and future atmospheric CO2 Predictions from big‐leaf and demographic vegetation models
Longo M, Saatchi S, Keller M, Bowman K, Ferraz A, Moorcroft PR, Morton DC, Bonal D, Brando P, Burban B, et al. Impacts of Degradation on Water, Energy, and Carbon Cycling of the Amazon Tropical Forests. Journal of Geophysical Research: Biogeosciences. 2020;125 (e2020JG005677 ). Impacts of Degradation on Water, Energy, and Carbon 2 Cycling of the Amazon Tropical Forests
2019
Farinosi F, Arias ME, Lee E, Longo M, Pereira FF, Livino A, Moorcroft PR, Briscoe J. Future climate and land use change impacts on river flows in the Tapajós Basin in the Brazilian Amazon. Earth’s Future . 2019;7 :993-1017 . Future Climate and Land Use Change Impacts on River Flows in the Tapajós Basin in the Brazilian Amazon
Longo M, Knox RG, Levine NM, Dietze MC, Kim Y, Swann ALS, Medvigy DM, Dietze MC, Kim Y, K.Zhang, et al. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America. Geosci. Model Dev. . 2019;12 :4347–4374. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America
Longo M, Knox RG, Medvigy DM, Levine NM, Dietze MC, Kim Y, Swann ALS, K.Zhang, Rollinson CR, Bras RL, et al. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description . Geosci. Model Dev. 2019;12 :4309–4346. The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description
Bogan SA, Antonarakis AS, Moorcroft PR. Imaging Spectrometry-derived Estimates of Regional Ecosystem Composition for the Sierra Nevada, California. . Remote Sensing of Environment. 2019;228 :14-30. Imaging Spectrometry-derived Estimates of Regional Ecosystem Composition for the Sierra Nevada, California
Medvigy D, Wang G, Zhu Q, Riley WJ, Trierweiler AM, Waring B, Xu X, Powers JS. Observed variation in soil properties can drive large variation in modelled forest functioning and composition during tropical forest secondary succession. New Phytol. . 2019. medvigy_et_al-2019-new_phytologist.pdf
2018
Longo M, Knox RG, Levine NM, Alves LF, Bonal D, Camargo PB, Fitzjarrald DR, Hayek MN, Restrepo-Coupe N, Saleska SR, et al. Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts. New Phytologist. 2018;219 :914–931. Ecosystem heterogeneity and diversity mitigate Amazon forest resilience to frequent extreme droughts
Damiani ML, Hachem F, Issa H, Ranc N, Moorcroft PR, Cagnacci F. Cluster-based trajectory segmentation with local noise. . Data Mining and Knowledge Discovery. 2018;32 :1017–1055. Cluster-based trajectory segmentation with local noise
Simmons CS, Famolare L, Macedo MN, Walker RT, M.T.Coe, Scheffers B, Arima E, Munoz-Carpena R, Valle D, Fraisse C, et al. Science in support of Amazonian conservation in the 21st century: the case of Brazil. Biotropica. 2018;50 (6) :850-858. Science in support of Amazonian conservation in the 21st century: the case of Brazil
Lee E, Livino A, Han S-C, K.Zhang, Briscoe J, Kelman J, Moorcroft PR. Land Cover Change Explains the Increasing Discharge of the Paraná River. Regional Environmental Change . 2018;18 :1871–1881. Land Cover Change Explains the Increasing Discharge of the Paraná River

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