Above-ground net primary productivity and rain use efficiency of Chaco Semi-arid Forest in 1 Copo National Park, Santiago del Estero, Argentina
DOI:
https://doi.org/10.24215/16699513e120Keywords:
thresholds, seasonal rainfall, biomass, NDVI time seriesAbstract
According to the REDD + Program, it is necessary to monitor, quantify and report the forest system status of protected areas. Having this in mind the objective of this work is to delimit the growing seasons of Chaco Semi-arid Forest (FCHS) in Copo National Park (CNP), Santiago del Estero, Argentina, in the 2000-2022 period using time series of NDVIMODIS., and to quantify their Seasonally Integrated Aboveground Net Primary Productivity (SI-ANPP), its trend, and Rain Use Efficiency (RUE), and relate them to integrated seasonal rainfall (SR). The NDVIMODIS time series and the 0.5 NDVIRATIO thresholds made it possible to delimit the growth season, and quantify the SI-ANPP of FCHS with high efficiency. Significant differences were found (T = -3.49; p = 0.0006) in the SI-ANPP of FCHS. The SI-ANPP evidences high sensitivity to negative anomalies of seasonal rainfalls. The nonlinear regression model obtained (R2 = 0.73; p < 0.0001) provides unedited information at the local level on the efficiency of the SI-ANPP in terms of the SR. Seasonal rainfall >700 mm could be considered a threshold (or boundary) in the efficient water use of FCHS. The large positive trend of SI-ANPP of the FCHS CNP in the period 2000-2022 (slope = 462.43; T = 25.64; p <0.0001) evidenced the high stability of the forest system.
The results obtained reaffirm the importance of creating legally protected areas, such as national parks, for the preservation of forest systems in the region.
Downloads
Metrics
References
Baccini, A.G.S.J., Goetz, S.J., Walker, W.S., Laporte, N.T., Sun, M., Sulla-Menashe, D., ... Houghton, R. (2012). Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nature Climate Change, 2(3), 182-185. https://doi.org/10.1038/nclimate1354
Bai Y., Wu J., Xing Q., Pan Q., Huang J., Yang D. y Han X. (2008). Primary production and rain use efficiency across a precipitation gradient on the Mongolia plateau. Ecology, 89(8), 2140–2153. https://doi.org/10.1890/07-0992.1
Baldassini, P. y Paruelo, J. (2020). Sistemas agrícolas y silvopastoriles en el Chaco Semiárido. Impactos sobre la productividad primaria. Ecología Austral, 30, 045-062. https://doi.org/10.25260/EA.20.30.1.0.961
Baldassini, P. (2018). Provisión de Servicios Ecosistémicos en el Chaco Semiárido: efectos de los cambios en el uso del suelo y la variabilidad climática sobre la dinámica del carbono. Tesis Doctoral, IFEVA, Facultad de Agronomía, Universidad de Buenos Aires. https://ri.conicet.gov.ar/handle/11336/81496
Caziani, S.M., Trucco, C.E., Perovic, P.G., Tálamo, A.,... Derlindati, E. (2003). Línea de base y programa de monitoreo de la biodiversidad del Parque Nacional Copo. Proyecto de Conservación de la Biodiversidad. Donación GEF/BIRF/APN TF 028372-AR.
Dardel, C., Kergoat, L., Hiernaux, P., Grippa, M., Mougin, E., Ciais, P. y Nguyen, C.C. (2014). Rain-Use-Efficiency: What it Tells us about the Conflicting Sahel Greening and Sahelian Paradox. Remote Sens, 6, 3446-3474 https://doi.org/10.3390/rs6043446
Di Rienzo, J.A., Casanoves, F., Balzarini, M.G. y González, L. (2022). Manual del Usuario. Grupo InfoStat, FCA, Universidad Nacional de Córdoba, Argentina.
Earth Observing System Project. (2022). Image derived from Sensor Sentinel-2 L2A. https://eos.com/landviewer
Food and Agriculture Organization. (2020). El estado de los bosques del mundo. Organización de las Naciones Unidas para la Alimentación y la Agricultura. http://www.fao.org/3/ca8642es/CA8642ES.pdf
Fensholt, R. (2004). Assessment of primary production in a semi-arid environment from satellite data - exploiting capabilities of new sensors. Ph.D. thesis. Museum Tusculanum.
Fitzpatrick-Lins, K. (1981). Comparison of Sampling Procedures and Data Análisis for a Land-use and land-cover map. Photogrammetric Engineering & Remote Sensing, 47, 343-351.
Gamoun, M. (2016). Rain use efficiency, primary production and rainfall relationships in desert rangelands of Tunisia. Land Degradation & Development, 27, 738–747 http://dx.doi.org/10.1002/ldr.2541
Gao, Y., Skutsch, M., Paneque-G´alvez, J. y Ghilardi, A. (2020). Remote sensing of forest degradation: A review. Environmental Research Letters, 15 (10), 103001. https://iopscience.iop.org/article/10.1088/1748-9326/abaad7
Gavinet, J., Ourcival, J.M. y Limousin, J.M. (2019). Rainfall exclusion and thinning can alter the relationships between forest functioning and drought. New Phytologist, 223,1267–1279.
Hsu, J.S, Powell, J. y Adler, P.B. (2012). Sensitivity of mean annual primary production to rainfall. Global Change Biology, 18, 2246–2255. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2486.2012.02687.x
Huxman, T.E., Smith, M.D., Fay, P.A., Knapp, A.K., Shaw, M.R., Loik, M.E., ... Williams, D.G. (2004). Convergence across biomes to a common rain-use efficiency. Nature, 429 (6992), 651–654. https://doi.org/10.1038/nature02561
Instituto Geográfico Nacional. (2022). Argenmaps. https://mapa.ign.gob.ar/
Kumar, L. y Mutanga, O. (2017). Remote Sensing of Above-Ground Biomass. Remote Sensing, 9, 935. https://www.mdpi.com/2072-4292/9/9/935
Li, Y., Li, M., Li, C. y Liu, Z. (2020). Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms. Scientific Reports, 10, 9952. https://doi.org/10.1038/s41598-020-67024-3
Le Houerou, H.N. (1984). Rain use efficiency: A unising concept in aridland ecology. Journal of Arid Environments, 7, 213-247.
Le Houerou, H.N., Bingham, R.L. y Skerbek, W. (1988). Relationship between the variability of primary production and the variability of annual precipitation in world arid lands. Journal of Arid Environments, 15, 1-18.
Lekevičius, E. y Loreau, M. (2012). Adaptability and functional stability in forest ecosystems: a hierarchical conceptual framework. EKOLOGIJA, 58, 391–404.
Monteith, J.L. (1972). Solar radiation and productivity in tropical ecosystems. Journal of Applied Ecology, 9, 747-766. https://doi.org/10.2307/2401901
Morello, J. y Adamoli, J. (1974). Las grandes unidades de vegetación y ambiente del Chaco argentino. Segunda Parte: Vegetación y ambiente de la Provincia del Chaco. INTA Serie Fitogeografica 13.
Myneni, R.B y Williams, D.L. (1994). On the Relationship between FAPAR and NDVI. Remote Sensing Environment, 49, 200-21. https://doi.org/10.1016/0034-4257(94)90016-7
National Aeronautics and Space Administration. (2021). Prediction of Worldwide Energy Resource (POWER) Project. https://power.larc.nasa.gov/
National Weather Service. (2021). Centro de Información Meteorológica, Servicios climáticos. https://www.smn.gob.ar/descarga-de-datos
Newman, B.D., Wilcox, B.P., Archer, S. R., Breshears, D.D., Dahm, C.N., Duffy, C. J., ... Vivoni, E. R. (2006). Ecohydrology of water-limited environments: A scientific vision. Water Resources Research, 42(6). http://dx.doi.org/10.1029/2005WR004141
Noy-Meir, I. (1973). Desert ecosystems: environment and producers. Annual Review of Ecology and Systematics, 4, 25–51.
Parques Nacionales. (2022). Ministerio de Ambiente y Desarrollo Sostenible. www.argentina.gob.ar/parquesnacionales
Paruelo, J.M., Lauenroth, W.K., Burke, I.C. y Sala, O.E. (1999). Grassland precipitation-use efficiency varies across a resource gradient. Ecosystems, 2, 64–68. https://doi.org/10.1007/s100219900058
Phillips, O.L., Aragão, L.E., Lewis, S.L., Fisher, J.B., Lloyd, J., López-González, G., ... Torres-Lezama, A. (2009). Drought Sensitivity of the Amazon Rainforest. Science, 323(5919), 1344-1347. https://doi.org/10.1126/science.1164033
Reichstein, M. y Carvalhais, N. (2019). Aspects of Forest Biomass in the Earth System: Its Role and Major Unknowns. Surveys in Geophysics, 40, 693–707. https://doi.org/10.1007/s10712-019-09551-x
Reichstein, M., Ciais, P., Papale, D., Valentini, R., Running, S., Viovy, N., ... Zhao, M. (2007). Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: A joint flux tower, remote sensing and modelling analysis, Global Change Biology, 13(3), 634– 651. https://doi.org/10.1111/j.1365-2486.2006.01224.x
Robinson, T.M.P, La Pierre, K.J., Vadeboncoeur, M.A., Byrne, K. M., Thomey, M. L. y Colby, S. E. (2013). Seasonal, not annual precipitation drives community productivity across ecosystems. Oikos, 122(5), 727–738.
Rouse, J.W., Haas, R.H., Schell, J.A. y Deering, D.W. (1973). Monitoring vegetation systems in the Great plains with ERTS, Third RTS Symposium, NASA, SP-351 I, 309-317. ,https://ntrs.nasa.gov/citations/19740022614
Ruimy, A., Saugier, B. y Dedieu, D. (1994). Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research, 99, 5263-5283.
Sala, O.E., Parton, W.J., Joyce, L.A. y Lauenroth, W.K. (1988). Primary production of the central grassland región of the United States. Ecology, 69, 40–45.
Secretaria de Ambiente y Desarrollo Sustentable de la Nación (SAyDS). (2007). Informe Regional Parque Chaqueño. En Primer inventario nacional de bosques nativos, Proyecto Bosques Nativos y Áreas protegidas BIRF 4085-AR, Argentina. https://www.argentina.gob.ar/sites/default/files/primer_inventario_nacional_-_informe_nacional_1.pdf
Seaquist, J.W, Olsson, L. y Ardö, J. (2003). A remote sensing-based primary production model for grassland biomes. Ecological Modelling, 169, 131–155.
Tálamo, A., Lopez de Casenave, J. y Caziani, S.M. (2012). Components of woody plant diversity in semi-arid Chaco forests with heterogeneous land use and disturbance histories. Journal of Arid Environments, 85, 79-85.
Talamo, A. y Caziani, S.M. (2003). Variation in woody vegetation among sites with different disturbance histories in the Argentine Chaco. For. Ecol. Manage, 184 (1–3), 79–92. https://doi.org/10.1016/S0378-1127(03)00150-6
TerrSet 2020 Geospatial Monitoring and Modeling Software. (2022). Clark Labs, Clark University.
Vermeire, L.T., Heitschmidt, R.K. y Rinella, M.J. (2009). Primary Productivity and Precipitation-Use Efficiency in Mixed-Grass Prairie: A Comparison of Northern and Southern US Sites. Rangeland Ecol Manage, 62, 230–239. http://dx.doi.org/10.2111/07-140R2.1
White, M.A., Thomton, P.E. y Running, S.W. (1997). A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochemical Cycles, 11, 217-234. https://doi.org/10.1029/97GB00330
Zhang T., Yu G., Chen Z., Hu Z., Jiao C., Yang, M., ... Li, W. (2020). Patterns and controls of vegetation productivity and precipitation-use efficiency across Eurasian grasslands. Science of The Total Environment, 741, 140204, 1-9. https://doi.org/10.1016/j.scitotenv.2020.140204
Zhang, W., Brandt, M., Tong, X., Tian, Q. y Fensholt, R. (2018). Impacts of the seasonal distribution of rainfall on vegetation productivity across the Sahel. Biogeosciences, 15, 319–330. https://doi.org/10.5194/bg-15-319-2018
Zhang, X., Moran, S.M., Zhao, X., Liu, S., Zhou, T., Ponce-Campos, G. E. y Liu, F. (2014). Impact of prolonged drought on rainfall use efficiency using MODIS data across China in the early 21st century. Remote Sensing of Environment, 150, 188–197. http://dx.doi.org/10.1016/j.rse.2014.05.003
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Jose L. Tiedemann, Andreise Moreira
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
A partir de 2019 (Vol. 118 número 2) los artículos se publicarán en la revista bajo una licencia Creative Commons Atribución- NoComercial-CompartirIgual 4.0 Internacional (CC BY-NC-SA 4.0)
Acorde a estos términos, el material se puede compartir (copiar y redistribuir en cualquier medio o formato) y adaptar (remezclar, transformar y crear a partir del material otra obra), siempre que a) se cite la autoría y la fuente original de su publicación (revista y URL de la obra), b) no se use para fines comerciales y c) se mantengan los mismos términos de la licencia.
Previo a esta fecha los artículos se publicaron en la revista bajo una licencia Creative Commons Atribución (CC BY)
En ambos casos, la aceptación de los originales por parte de la revista implica la cesión no exclusiva de los derechos patrimoniales de los/as autores/as en favor del editor, quien permite la reutilización, luego de su edición (posprint), bajo la licencia que corresponda según la edición.
Tal cesión supone, por un lado, que luego de su edición (posprint) en Revista de la Facultad de Agronomía las/os autoras/es pueden publicar su trabajo en cualquier idioma, medio y formato (en tales casos, se solicita que se consigne que el material fue publicado originalmente en esta revista); por otro, la autorización de los/as autores/as para que el trabajo sea cosechado por SEDICI, el repositorio institucional de la Universidad Nacional de La Plata, y sea difundido en las bases de datos que el equipo editorial considere adecuadas para incrementar la visibilidad de la publicación y de sus autores/as.
Asimismo, la revista incentiva a las/os autoras/es para que luego de su publicación en Revista de la Facultad de Agronomía depositen sus producciones en otros repositorios institucionales y temáticos, bajo el principio de que ofrecer a la sociedad la producción científica y académica sin restricciones contribuye a un mayor intercambio del conocimiento global.
