Aboveground Net Primary Productivity and Spatial Distribution of Chaco Semi-Arid Forest in Copo National Park, Santiago del Estero, Argentina
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
According to the REDD+ program, it is necessary to monitor, quantify, and report forest conditions in protected land areas. The objectives of this work were to quantify the average monthly aerial net primary productivity (ANPPMONTH) of semi-arid Chaco Forest at Copo National Park (CNP), Santiago del Estero, Argentina, during the period 2000-2023, as well as its spatial distribution and relationship, and its use efficiency (RUE) of average monthly rainfall (AMR). The ANPPMONTH model accounted for 90% of the seasonal variability from October to May, the average seasonal ANPPMONTH was 145 tons of dry matter per hectare (t dm/ha), being the maximum in January with 192 t dm/ha and the minimum in May with 91 t dm/ha. The surface area covered by ANPPMONTH exhibited a consistent positive trend from October to May (t test=15.65, p＜0.01). Strong and significant direct relationships were found between ANPPMONTH and AMRs, linear models explaining 90% and 96% of the variability, respectively. The results obtained become reference values for assessing the capacity of the forest systems to stock carbon for global warming mitigation and for monitoring and controlling their response to extreme climatic adversities. The average ANPPMONTH reduces uncertainty when defining the thresholds to monitor and quantify ANPP and forest area, thus facilitating the detection of negative changes in land use in CNP. Such results evidence the National Parks Administration’s high effectiveness for the maintenance of protected area and for the high ANPP of the FCHS of CNP in the period 2000-2023.
Abstract
According to the REDD+ program, it is necessary to monitor, quantify, and report forest conditions in protected land areas. The objectives of this work were to quantify the average monthly aerial net primary productivity (ANPPMONTH) of semi-arid Chaco Forest at Copo National Park (CNP), Santiago del Estero, Argentina, during the period 2000-2023, as well as its spatial distribution and relationship, and its use efficiency (RUE) of average monthly rainfall (AMR). The ANPPMONTH model accounted for 90% of the seasonal variability from October to May, the average seasonal ANPPMONTH was 145 tons of dry matter per hectare (t dm/ha), being the maximum in January with 192 t dm/ha and the minimum in May with 91 t dm/ha. The surface area covered by ANPPMONTH exhibited a consistent positive trend from October to May (t test=15.65, p＜0.01). Strong and significant direct relationships were found between ANPPMONTH and AMRs, linear models explaining 90% and 96% of the variability, respectively. The results obtained become reference values for assessing the capacity of the forest systems to stock carbon for global warming mitigation and for monitoring and controlling their response to extreme climatic adversities. The average ANPPMONTH reduces uncertainty when defining the thresholds to monitor and quantify ANPP and forest area, thus facilitating the detection of negative changes in land use in CNP. Such results evidence the National Parks Administration’s high effectiveness for the maintenance of protected area and for the high ANPP of the FCHS of CNP in the period 2000-2023.
참고문헌 (37)
- Baldassini P, "Agricultural and silvopastoral systems in the semi-arid Chaco. Impacts on primary productivity", Ecol Aust, 30, pp.45~62 (2020)
- Baldassini P., "Provision of Ecosystem Services in the semi-arid Chaco: effects of land use change and climate variability in carbon dynamics", PhD, pp.2018
- "TerrSet 2020 Geospatial Monitoring and Modeling Software" (2020)[URL]
- "User manual" (2022)[URL]
- ". NASA EOSDIS Land Processes DAAC" (2015)[URL]
- "NASA EOSDIS Land Processes DAAC" (2015)[URL]
- Dieguez H, "Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas(1982-2012)", Remote Sens Ecol Conserv, 3, pp.177~189 (2017)
- Duan P, "Remote Sensing Applications in Monitoring of Protected Areas : A Bibliometric Analysis", Remote Sens, 12, pp.772~ (2020)
- Fensholt R., "Assessment of primary production in a semi-arid environment from satellite data - exploiting capabilities of new sensors", PhD, pp.2004
- "The state of the world forests" (2020)[URL]
- Gao Y, "Remote sensing of forest degradation : a review", Environ Res Lett, 15, pp.103001~ (2020)
- Garbulsky MF, "Remote sensing of protected areas to derive baseline vegetation functioning characteristics", J Veg Sci, 15, pp.711~720 (2004)
- Gasparri NI, "Regional patterns and controls of biomass in semiarid woodlands : lessons from the Northern Argentina Dry Chaco", Reg Environ Chang, 13, pp.1131~1144 (2013)
- Gasparri NI, "Carbon Pools and Emissions from Deforestation in Extra-Tropical Forests of Northern Argentina between 1900 and 2005", Ecosystems, 11, pp.1247~1261 (2008)
- "Estimation of volume, biomass and carbon content of the Argentine Forest Regions. Final Report" (2004)[URL]
- Gasparri NI, "Assessing multi-temporal Landsat 7ETM+ images for estimating above-ground biomass in subtropical dry forests of Argentina", J Arid Environ, 74, pp.1262~1270 (2010)
- Gillespie TW, "Monitoring changes of NDVI in protected areas of southern California", Ecol Indic, 88, pp.485~494 (2018)
- Gillespie TW, "Spaceborne remote sensing of the world’s protected areas", Prog Phys Geog, 39(3), pp.388~404 (2015)[DOI]
- Gobbi B, "Comparing Forest Structural Attributes Derived from UAV-Based Point Clouds with Conventional Forest Inventories in the Dry Chaco", Remote Sens, 12, pp.4005~ (2020)
- Le Houerou HN, "Rain use efficiency : a unifying concept in arid-land ecology", J Arid Environ, 7, pp.213~247 (1984)
- Mao L, "Remote Sensing Applications for Monitoring Terrestrial Protected Areas : Progress in the Last Decade", Sustainability, 12, pp.5016~ (2020)
- "Second National Inventory of Native Forests: Chaco Park Report: First Revision" (2020)[URL]
- Mitchell AL, "Current remote sensing approaches to monitoring forest degradation in support of countries measurement, reporting and verification(MRV)systems for REDD+", Carbon Balance Manag, 12, pp.9~ (2017)
- Monteith JL, "Solar Radiation and Productivity in Tropical Ecosystems", J Appl Ecol, 9, pp.747~766 (1972)
- Myneni RB, "On the relationship between FAPAR and NDVI", Remote Sens Environ, 49, pp.200~211 (1994)
- "Prediction of Worldwide Energy Resource (POWER) Project" (2021)[URL]
- "Meteorological Information Center" (2021)[URL]
- Noy-Meir I., "Desert Ecosystems : Environment and Producers", Annu Rev Ecol Syst, 4, pp.25~51 (1973)
- Rouse JW, "Monitoring Vegetation Systems in the Great Plains with ERTS", 3rd ERTS Symposium, NASA SP-351, pp.309~317 (1973)
- Sala OE, "Primary Production of the Central Grassland Region of the United States", Ecology, 69, pp.40~45 (1988)
- Seaquist JW, "A remote sensing-based primary production model for grassland biomes", Ecol Model, 169, pp.131~155 (2003)
- "First National Inventory of Native Forests, IBRD Native Forests and Protected Areas Project 4085-AR" (2007)[URL]
- Tálamo A, "Variation in woody vegetation among sites with different disturbance histories in the Argentine Chaco", For Ecol Manag, 184, pp.79~92 (2003)
- Tálamo A, "Components of woody plant diversity in semi-arid Chaco forests with heterogeneous land use and disturbance histories", J Arid Environ, 85, pp.79~85 (2012)
- Tiedemann JL, "Above-ground net primary productivity and rain use efficiency of Chaco Semi-arid Forest in Copo National Park, Santiago del Estero, Argentina", Rev Fac Agron, 122, pp.120~ (2023)
- Tiedemann JL., "Spatial and temporal dynamics of the Normalized Difference Vegetation Index in Santiago del Estero", PhD, pp.2011
- Zhang W, "Impacts of the seasonal distribution of rainfall on vegetation productivity across the Sahel", Biogeosciences, 15, pp.319~330 (2018)