Ecology

Deterministic logistic modelThe following population dynamics model was applied to reconstruct the initial dugong population size in 1894 from fishery statistics between 1894 and 1914:$$N_{t + 1} = N_{t} left( {1 , + r{-}r , N_{t} /K} right) – C_{t} ,$$where r is the intrinsic rate of population increase, Nt is the population size in year t, K is the carrying capacity, and Ct is the number of individuals removed from the waters near the Ryukyu Islands in year t. The carrying capacity (K) in 1893 was sufficient to sustain the initial population of dugongs at that time (N1894). The intrinsic rate of population increase (r) was given between 1 and 5% within a range of natural one.Approximate Bayesian calculationWe conducted approximate Bayesian calculation (ABC)32 to estimate the number of individuals in 1979 based on bycatch data between 1979 and 2019, and the constraints of the numbers of individuals were 11 in 1997, three in 2007, and almost extinct in 2019. We denoted fecundity as f, the survival rate until 1 year old as s0, the annual survival rate after 1 year old as s, the age at maturity as am, and the physiological longevity as A. We assumed that the sex ratio at birth was 1:1 on average; the age at maturity am was eight years of age33, and the physiological longevity A was 73 years6. We ignored environmental stochasticity because no mass deaths caused by infectious diseases or changes in survival or mortality rates due to environmental fluctuations have not been recorded during this period. We also ignored density effects because the carrying capacity of the location was sufficiently greater than the initial population size, and our goal was to investigate the possibility of population recovery after a decrease in population using a population dynamics model and estimate the natural growth rate during this period. The detailed extinction risk depends on age structure.According to the life history parameters, except the physiological longevity compiled by (ref.33), the annual survival probability of an a year-old individual is s for a = 1, 2, …, 72; s0 for a = 0, and 0 for a = 73; the reproductive probability of an adult female  > 8 years old is 2f. As the number of years for a population to become extinct or recover depends on age composition, age-specific survival, and reproductive rates, we obtain the population growth rate by the maximum eigenvalue of the following Leslie matrix, L = {Lij} (i = 1,…73, j = 1,…,73) as:$$L_{i1} = s_{0} f/2quad {text{for}}quad i ge a_{m} ,L_{i+ 1,i} = squad {text{for}}quad i = 1, ldots ,72,quad {text{and}}quad L_{ij} = 0,{text{otherwise}}{.}$$We used the population growth rate λ, defined by the maximum eigenvalue of L, as an indicator of the population growth rate.We assumed that the sex of each individual in 1979 was randomly sampled by the 1:1 sex ratio, and its age was randomly sampled by the stable age structure that is given by the eigenvector of the Leslie matrix with the maximum eigenvalue. We assumed that the number of individuals at age 1 year in year t + 1, denoted by N1,t+1, is determined by the binomial distribution:$$Prleft[ {N_{1,t + 1} = x} right] = left( {begin{array}{*{20}c} {N_{f} } \ x \ end{array} } right)left( {s_{0} f} right)^{x} left[ {1 – left( {s_{0} f} right)} right]^{{N_{f} – x}} ,$$where Nf represents the number of adult females in year t. We assumed that no twins were born. We assumed that the probability that an individual with age x survived in the next year is s if x = 1 or s0 if x = 0. We also assumed that Ct individuals who died by bycatch were randomly chosen from any sex and age because the age of individuals caught by bycatch is rarely known. We do not know the sex of some individuals.We assumed the following prior distributions for N1997, f, and s: N1979 (in) U(11, 80), f (in) U(1/14, 1/6) if at least one adult male existed in the population, s0 (in) U(0.1, 0.85); and s (in) U(0.8, 0.97), where U(a, b) is the uniform random variable between a and b. These probabilities were constant for each simulation trial from 1997 to 2019. We selected the set of parameters with the population growth rate (λ) obtained when the maximum eigenvalue of the Leslie matrix was between 0.96 and 1.01.We rejected trials that did not satisfy the following summary statistics: N1997 ≥ 11 (intensive survey in 1997), Nt ≥ 3 during 2004–2017 (monitoring), and N2019 ≤ 1 (“local extinction”). We obtained the prior distributions of N1997, f, s0, s, and N2004, and of the  > 130,000 trials in the prior distribution with natural population growth rates λ of 96.1–98.8%, 99.3% were rejected. For 95% of the 1000 adopted trials, N1979 ranged from 14 to 58. If λ  > 98%, N1997 was ≤ 45 for the adopted trials (Extended Data Fig. 7. Even if all the stranding deaths were due to anthropogenic factors, such as the release of dugongs after bycatch or boat strike, the range of N1997 changed to  98%, with only a slight upward shift, but positive natural growth rate (or λ  > 1) was again very unlikely (0.3%) among the adopted trials.Population viability analysis to assess the impact of bycatch on the extinction riskWe re-evaluated the extinction risk with and without bycatch using the 1000 parameter sets of N1979, f, s0, and s that satisfied the summary statistics in the ABC and stochastic individual-based model, beginning from N1979 for the corresponding parameters. For each parameter set, 100 trials were conducted for each scenario to compare the extinction risks. More

Animal culture and mediumFive different clonal lineages of the water flea Daphnia magna were sampled from two ponds on agricultural land in Belgium (Vleteren: 50°55′06.7″ N, 2°43′27.0″ E and De Haan 51°13′53.8″ N, 3°01′49.2″). They were cultured separately in 210 ml glass jars under optimized laboratory conditions (20 ± 1 °C, 14:10 h light:dark cycle). Seed shrimp and rotifer resting eggs were obtained from a commercial supplier (MicroBioTests Inc., H. incongruens strain MBT/1999/10, product code TB36; B. calyciflorus, product code TK21, Belgium) and represent laboratory cultured, single clonal lineages. More details on animal culture are reported in the online supplementary methods (Appendix 3).Natural pond water was used as medium both in animal cultures and the experiment. It was extracted from a Belgian region (50°59′00.92″ N, 5°19′55.85″ E, Zonhoven) with soft, poorly buffered water (Alkalinity 3–8°d; pH 6.5–8.5) which is likely to be susceptible to acidification under elevated pCO2. More information on medium and mineral composition is reported in the online supplementary information (Appendix 3; Table S3, Appendix 1).Experimental set-upOrganisms were exposed to three pCO2 treatments, an ambient control (C; 1,520 ppm ± 702 SD), an elevated (T1; 25,609 ppm ± 4,541 SD) and an extreme pCO2 level (T2; 83,201 ppm ± 15,533 SD). The control pCO2 level represents the current global mean that is measured in lentic freshwaters considering most ponds and lakes are already supersaturated10,12. The T1 level is currently only observed in more extreme cases11. However, it reflects a pCO2 level that could be encountered more commonly in the field in the future. The T2 treatment represents an extreme test of the tolerance limits of extant species. These treatments are a necessary simplification of reality since pCO2 can experience strong fluctuations in ponds and lakes. An overview of freshwater pCO2 concentrations from literature can be found in Table S1 (Appendix 1).The elevated pCO2 concentrations were manipulated in the water by injecting pure CO2 (99.998% pure, ALPHAGAZ CO2 SFC * B50-N48, Airliquide, Belgium) from gas cylinders into the water (cf.49) at a constant flowrate, using a high-pressure regulator (HBS 200–10.2,5; AirLiquide, Belgium) and a flow controller (Sho-rate model 1350G, Brooks Instruments, USA). In the control treatment, ambient air was supplied at a similar rate as the CO2 to ensure equal perturbation levels across all containers. Water of all experimental containers (including control) were also injected with ambient air to keep the water oxygenated. A relatively constant pCO2 was ensured by continuously monitoring pH and kept between a range of ~ 20,000–30,000 ppm (pH 6.9–6.7) for T1 and ~ 70,000–120,000 ppm (pH 6.4–6.1) for T2 (Figure S2, Appendix 2).Each treatment included 13 replicate 210 mL glass jars per species, resulting in a total of 117 experimental units. Per replicate, one mature water flea (8–11 days old) was inoculated in a jar containing aerated pond water. The five clonal lineages were distributed evenly over the experimental conditions so that each condition had the same number of replicates per clone. Seed shrimp replicates each contained one newly hatched ( More

From the popular algorithms, we chose the Random forest model as the most suitable for our case. The data required for predictions can be divided into plant occurrence records and environmental features. Bioclimatic variables and soil properties were selected as the main environmental features. All of the data were obtained from open sources.Heracleum Sosnowskiy plant descriptionHeracleum sosnowskyi is a monocarpic perennial plant of the Apiaceae family. The height is up to 3–5 m with a straight stem up to 12 cm in diameter. HS compound steam leaves can reach 150 cm, both long and wide38. The blooming period starts in July and continues until the end of September. Plant reproduction is performed by seeds only. The seeds’ depth of germination is reported as mainly in the upper 5 cm down to 15 cm of soil. One plant can produce 10–20,000 seeds39,40. Seeds germinate in the early spring, while some have reported that a period of cold stratification for the dormancy break is obligatory for germination development. Suitable conditions for HS include a temperate climate with warm humid summers and cold winters, while it is probably not drought resistant. Plants of HS tend to neutral soils with a pH range from 6 to 7, rich in nutrients, and being reported as nitrophilous, so the eutrophication of the environment favours HS development. HS plants do not tolerate shade conditions in the first growing period.HS is mostly spread in artificial and semi-natural habitats, including grasslands, pastures, parks, roadsides, agricultural fields, riverbanks or canal sides, and other distributed habitats. Currently, the main pathways of spread include an involuntary entry with soil on vehicles, machinery, footwear or the use of soil as a commodity (as the growing medium rich in organic matter)39.Study areaThe area for modelling extends from approximately 41(^{circ }) to 70(^{circ }) N and from 27(^{circ }) to 60(^{circ }) E, and Kaliningrad region, it equals to approximately 4 mln km2 (Fig. 4).Figure 4Map of the study area: white colour represents the territory used for prediction, red points correspond to the dataset of HS occurrence, collected from the available sources.Full size imageThe European part of Russia is the most inhabited part of the country, and it is the home of approximately 80% of the total population of Russia. It includes the East European Plain, Caucasus mountains and Ural mountains, with the predominance of the East European Plain. Environmental characteristics across the territory of study vary significantly. The climate is changing from semi-arid in the south to subarctic in the north, including humid continental climate conditions. Natural vegetation is represented by almost all types of biomes with the prevalence of different types of forests: broadleaf and mixed forests, coniferous forests, and boreal forests (taiga), while the area of arable lands is reported to be approximately 650,000 km241,42. The territory is subjected to the constant land-use types and cover changes due to the urbanization and switch of the status of arable lands—i.e. reduction of croplands and development of fallows and forests, and, vice versa, returning of some of them into the cultivation process43. The soil cover is represented by the contrast by their physicochemical properties groups, in the northern part of Luvisols, Podzols, Histosols, while of the southern part—by Chernozems, Kastanozems, Solonetz44.Collection of the input dataPlant occurrence dataPlant occurrence coordinates were collected from several publicly available sources related to citizen science projects: the Global Biodiversity Information Facility database45, iNaturalist database46, and the database of the “Antiborschevik” community47. Records were documented by human observation and collected from 2000 to 2021. The overall number of initial occurrence points from combined sources is 7637.Environmental predictorsClimate data Modelling was performed for current and future climate conditions at its two scenarios, selected year ranges were 2000–2018 and 2040–2060 respectively.Climatic variables were collected from the Worldclim database48, containing the average seasonal information relevant to the physiological characteristics of species and available at different resolutions. We chose 10 arc-minutes spatial resolution taking into account the size of the studied area. Table 1 provides a short description of the used bioclimatic features, and we refer the reader to the Worldclim project for detailed information on the variables’ calculation.For the future climate scenarios, we used two Shared Socioeconomic Pathways (SSPs)49—1-2.6 and 5-8.5, corresponding to the lowest (keeping global mean temperature increase below 2 (^{circ })C) and the highest (at the increase of population without technological change) predicted future greenhouse gases emission scenarios. For these data, we took the same resolution (10 arc-minutes) as discussed above.We used the Equilibrium Climate Sensitivity to select the climate model to model future HS distribution. Equilibrium climate sensitivity (ECS) is defined as the global mean surface air temperature change due to a rapid doubling of carbon dioxide concentrations as soon as the associated ocean-atmosphere-sea ice system reaches equilibrium. As the ECS value increases, the model’s sensitivity to the CO(_2) concentration in the atmosphere increases. We have chosen CanESM5 model (ECS—5.6), CNRM-CM6-1 model (ECS—4.3) and BCC-CSM2-MR model (ECS—3.0)50.Table 1 Description of used bioclimatic variables.Full size tableFor the future climate scenarios we selected three climate models:

BCC-CSM2-MR Beijing Climate Center climate system model developed in Beijing Climate Center, China Meteorological Administration51. Model has horizontal resolution 1.125(^{circ }) by 1.125(^{circ }).

CanESM5 Canadian Earth System Model version 5 developed in Canadian Center for Climate Modelling and Analysis, Canada52. Horizontal resolution 2.81(^{circ }) by 2.81(^{circ }).

CNRM-CM6-1 Climate model developed in National Center of Meteorological Research, France53. Horizontal resolution 1.4(^{circ }) by 1.4(^{circ }).

Authors of the WorldClim project prepared historical and future climate data to a uniform spatial (10 arc-minutes) and temporal resolution.Soil data Soil data were downloaded from the SoilGrids database54—a system for global digital soil mapping. SoilGrids provides continuous data at several depths of the spatial distribution of soil properties across the globe with selected resolution. It uses a machine learning approach to reconstruct continuous data from 230,000 soil profile observations from the WoSIS (The World Soil Information Service) database and a series of environmental covariates.From the whole set of the data provided by SoilGrids several properties were chosen for the forecasting: relative percentage of silt (Silt, %), sand (Sand, %), a volumetric fraction of coarse fragments (CF, %), cation exchange capacity (CEC, ({text{cmol}}_{c}/{text{kg}})) and soil organic carbon (SOC, g/kg) at the depth 5–15 cm, where the HS seeds are assumed to be located. These variables are expected to be more stable over time than bioclimatic predictors; thus, chosen soil properties could be implemented for the future time the same as in the present.Data pre-processingAll the data were transformed to the ASCII format by R script and using software DIVA-GIS following the tutorial for the preparation of WorldClim files for use in SDM (http://www.lep-net.org/wp-content/uploads/2016/08/WorldClim_to_MaxEnt_Tutorial.pdf) with unified selected resolution 340 sq.km.Optimization of the occurrence points amountThe general problem in using the available data collected from the databases of the citizen science projects is that the points of observation are distributed non-uniformly. For instance, the frequency of the records depends on the density of the population directly. The spatial filtering of the data (reducing the number of points) can be performed to reduce the sampling bias55. We prepared three datasets with a distance between points of 4, 7 and 10 km with 2402, 1846 and 1504 occurrence points correspondingly filtering the initial dataset. For the thinning step thin() function was used within the R package spThin with 100 iterations for each of chosen thinning distances. To understand how much data we could lose, we used the analysis of feature distribution and evaluated the general fairness of the model performance.Pseudo-absence generationDue to the availability only of the presence points, it is important to generate the absence points for further implementation of the selected algorithm. Although the generation of pseudo-absence points in SDM research is a widespread solution, a closer look at the literature reveals several gaps and shortcomings. Since the raw dataset of the HS distribution demonstrates strong sampling bias, the generation of pseudo-absence points using the usual ‘random’ strategy can aggravate the sampling bias problem. Thus, the combination of the ‘disk’ and ‘random’ strategies was applied for the generation of the pseudo-absence points using the biomod R package17.

The ‘disk’ strategy is established on the geographic distance works as separation from truth presence and possible absence points. The optimal geographic distance for HS was chosen as 25 km. This distance was chosen empirically by trial-and-error. We started with 18 km (because the size of the cell is   9–18 km depending on location) and finished with 50 km. Using distances such as 30–50 km lead to a positive spatial autocorrelation. Thus, we decided to set 25 km which finally provided both optimal model performance and reduced spatial autocorrelation.

The second part of the generation was based on the ‘random’ strategy with filtration: according to the different range of climate conditions on the territory of Russia, there are several places where HS is not detected, thus not growing. The selection of unsuitable places for HS related to the north of Russia, where it is might be too cold for plant species. From all amount of randomly generated generated points we selected points with condition latitude ( > 64^{circ }), according to tundra board line.

Features selection procedureTo avoid over-fitting and to choose the most conscientious set of parameters for final modelling, two approaches were combined. We searched features that are not correlated with others by a selected threshold is equal to 0.8 in absolute values56 and estimated variable importance using the Mean Decrease Gini (MDG) and the Mean Decrease Accuracy (MDA) as the result of modelling on enumerated parameters’ combinations. MDG score is related to the homogeneity of the nodes and leaves coefficient. With the rise of the MDG score the importance of the corresponding feature is also increasing. MDA describes how much accuracy decrease by removing the feature. We selected the most important features according to the MDG and MDA scores by the highest values of both metrics using a sequential search from an initial set of variables.Modelling approachRandom forestChoosing the appropriate method for creating the tool for accurate SDM is crucial because the overall performance could vary dramatically, depending on the selected model and particular use case. There is a limited amount of acceptable machine learning methods that can be used in SDM. Several popular methods demonstrated high performance in modelling on large areas: GBM, RF, and GLM. In particular, for modelling and prediction of the potential distribution of invasive species, GLM and RF were used57. We decided to use RF because this model was successfully implemented for solving a variety of tasks such as predictions of animal and plant distributions, and also was used for making predictions on a large territory58. The other important advantage that should be noticed is the straightforward interpretability of RF, which means that it is possible to evaluate the impact of each environmental parameter on the occurrence of the invasive species.Approach to the cross-validation of the modelA unique approach for the model calibration is needed to reduce spatial autocorrelation caused by the absence of a strict sampling design. In our case, the data was split into training and testing folds using the spatial blocks technique in a scheme of 13-fold cross-validation. Random spatial splitting was performed 20 times to calibrate the model, with a distance between blocks set as 100 km. To calibrate the model we used a spatial blocks approach with random type from R package blockCV.Evaluation of the model performanceTo evaluate the performance of the model a classic approach for ecology was used—Area Under Curve (AUC) or Receiver operating characteristic (ROC), related to the independent threshold techniques16. The principle of methods lies in the standard confusion matrix, where rows and columns represent actual and predicted classes. The construction of ROC curves uses all possible thresholds to obtain different confusion matrices which leads to the reproduction of the curve with two-dimensional space: (1) on y-axis is True Positive Rate (sensitivity, recall); (2) on x-axis is False Positive Rate (equal to 1 − specificity). In our case true positive (TP, sensitivity) rate means that predicted places where HS grows correspond to actual. Similarly, true negative rate (TN, specificity) indicates correctly classified locations as absence points. In contrast, the missteps when the model predicted places as presence points for plants that are incorrect are False Positive, FP, and places where HS is absent, according to the model, while this is not true are recognised as False Negative, FN. More

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ReferencesPalfrey, R., Oldekop, J. A. & Holmes, G. Nature Ecol. Evol. https://doi.org/10.1038/s41559-022-01715-0 (2022).Article 

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Balaram, V. Rare earth elements: A review of applications, occurrence, exploration, analysis, recycling, and environmental impact. Geosci. Front. 10(04), 68–86 (2019).Article 
CAS 

Google Scholar 
Chen, K. F., Hu, J. L., Zhang, Y. B. & Xue, D. F. Current R&D status and future trends of rare earth crystal materials. Inorgan. Chem. Ind. 52, 11–16 (2020).ADS 

Google Scholar 
Hong, G. Y. Research progress of rare earth luminescent materials. J. Synth. Cryst. 44, 2641–2651 (2015).CAS 

Google Scholar 
Hu, J. L. & Xue, D. F. Research progress on the characteristics of rare earth ions and rare earth functional materials. Chin. J. Appl. Chem. 37, 245–255 (2020).CAS 

Google Scholar 
Ji, L. Q., Chen, M. X., Gu, H., Zhao, J. H. & Yang, X. Actuality of light rare earth resources and application in field of new energy vehicles. J. Chin. Soc. Rare Earths 38, 129–138 (2020).
Google Scholar 
Liu, L. S. et al. Progress in nanocrystalline materials of rare earths. Chin. Rare Earths 33, 84–89 (2012).ADS 

Google Scholar 
Chen, Z. H. Global rare earth resources and scenarios of future rare earth industry. J. Rare Earths 29, 1–6 (2011).Article 

Google Scholar 
Mineral Commodity Summaries: 2021. Government Printing Office (2021)Yang, Z. F., Ma, Y. & Wang, Y. Mining (Metallurgical Industry Press, 2018).
Google Scholar 
Liu, H. Y. et al. Geochemical signatures of rare earth elements and yttrium exploited by acid solution mining around an ion-adsorption type deposit: Role of source control and potential for recovery. Sci. Total Environ. 804, 150241–150241 (2022).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Su, J. et al. Recovery of thorium and rare earths from leachate of ion-absorbed rare earth radioactive residues with N1923 and Cyanex 572. J. Rare Earths 39(10), 1273–1281 (2020).Article 
CAS 

Google Scholar 
Wang, Z. et al. Spatial distribution, source identification, and risk assessment of heavy metals in the soils from a mining region: A case study of Bayan Obo in northwestern China. Hum. Ecol. Risk Assess. Int. J. 27(5), 1276–1295 (2020).Article 
CAS 

Google Scholar 
Jin, Y., Jin, X. & Chen, L. I. Applying supporting-pressuring coupling curve to the evaluation of urban land carrying capacity: The case study of 32 cities in Zhejiang province. Geogr Res 37(6), 1087–1099 (2018).
Google Scholar 
Hadwen, S. & Palmer, L.J. Reindeer in Alaska. US Department of Agriculture (1922).Holling, C. S. Resilience and stability of ecological systems. Annu. Rev. Ecol. Syst. 4(1), 1–23 (1973).Article 

Google Scholar 
Chapman, E. J. & Carrie, J. B. The flexible application of carrying capacity in ecology. Glob. Ecol. Conserv. 13, e00365 (2018).Article 

Google Scholar 
Arrow, K. et al. Economic growth, carrying capacity, and the environment. Ecol. Econ. 15(2), 91–95 (1995).Article 

Google Scholar 
Zhu, M. C. et al. A load-carrier perspective examination on the change of ecological environment carrying capacity during urbanization process in China. Sci. Total Environ. 714, 136843 (2020).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Zhang, F. et al. Evaluation of resources and environmental carrying capacity of 36 large cities in China based on a support-pressure coupling mechanism. Sci. Total Environ. 688, 838–854 (2019).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Wei, X., Shen, L., Liu, Z., Luo, L. & Chen, Y. Comparative analysis on the evolution of ecological carrying capacity between provinces during urbanization process in China. Ecol. Indic. 112, 106179 (2020).Article 

Google Scholar 
Wu, X. & Hu, F. Analysis of ecological carrying capacity using a fuzzy comprehensive evaluation method. Ecol. Indic. 113, 106243 (2020).Article 

Google Scholar 
Wang, J. Y. et al. A three-dimensional evaluation model for regional carrying capacity of ecological environment to social economic development: Model development and a case study in China. Ecol. Indic. 89, 348–355 (2018).Article 

Google Scholar 
Jia, Z., Cai, Y., Chen, Y. & Zeng, W. Regionalization of water environmental carrying capacity for supporting the sustainable water resources management and development in China. Resour. Conserv. Recycl. 134, 282–293 (2018).Article 

Google Scholar 
Ma, X. A., Bai, Z. K. & Feng, L. R. Evaluation of the eco-environment quality and resources utilization in opencast coal mine area-A case study of Antaibao Open cast Mine of Pingshuo Shanxi Province. Chin. J. Eco-Agric. 15(5), 197–201 (2007).
Google Scholar 
Zhang, Z. Q. Study on ecological capacity and environment evaluation of Qingyang, GanSu. Lanzhou: GanSu Agricultural University Doctoral Thesis (in Chinese) (2010).Li, Y. G. et al. Research on the development of the ecological protection of the Qilian Mountains based on ecological redline. Acta Ecol. Sin. 39(7), 2343–2352 (2019).
Google Scholar 
Wang, Y., Hong, X. Y. & Lv, D. Analysis on dynamic ecological security and development capacity of 2005–2009 in Qinhuangdao, China. Proc. Environ. Sci. 10, 607–612 (2011).Article 

Google Scholar 
Zeng, C. et al. An integrated approach for assessing aquatic ecological carrying capacity: A case study of Wujin District in the Tai Lake Basin, China. Int. J. Environ. Res. Public Health 8(1), 264–280 (2011).PubMed 
PubMed Central 
Article 

Google Scholar 
Zhong, Y. X. & Lu, Y. Q. The coupling relationship between population and economic in Poyang Lake ecological economic zone. Econ. Geogr 31(2), 195–200 (2011).MathSciNet 

Google Scholar 
Wang, D., Shi, Y. & Wan, K. Integrated evaluation of the carrying capacities of mineral resource-based cities considering synergy between subsystems. Ecol. Indic. 108, 105701 (2020).Article 

Google Scholar 
Zhang, Y., Wang, Q., Wang, Z., Yang, Y. & Li, J. Impact of human activities and climate change on the grassland dynamics under different regime policies in the Mongolian Plateau. Sci. Total Environ. 698, 134304 (2020).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Zhang, M., Liu, Y., Wu, J. & Wang, T. Index system of urban resource and environment carrying capacity based on ecological civilization. Environ. Impact Assess Rev. 68, 90–97 (2018).Article 

Google Scholar 
Feng, Z. M. et al. The progress of resources and environment carrying capacity: From single-factor carrying capacity research to comprehensive research. J. Resour. Ecol. 9, 125–134 (2018).
Google Scholar 
Xiao, W. et al. Ecological resilience assessment of an arid coal mining area using index of entropy and linear weighted analysis: A case study of Shendong Coalfield, China. Ecol. Indic. 109, 105843 (2020).Article 

Google Scholar 
Zhang, Y., Shang, J. C. & Yu, X. Y. Study on the coupling mechanism of urban economy and environment. Acta Sci. Circum. 23(1), 107–112 (2003).ADS 
CAS 

Google Scholar 
China County Statistical Yearbook. National Bureau of Statistics, Department of Rural Social and Economic Survey (in Chinese) (2013).Baotou Statistical Yearbook. Baotou City Bureau of Statistics (in Chinese) (2019).Jiangxi Statistical Yearbook. Jiangxi Bureau of Statistics (in Chinese) (2014).Jining Statistical Yearbook. Jining Bureau of Statistics (in Chinese) (2019).402009 Liangshan Yearbook Atlas. Liangshan Yi Autonomous Prefecture People’s Government (in Chinese) (2010).Liao, X. P. Meizhou yearbook. Yearb. Inf. Res. 2, 53 (1999).
Google Scholar 
Chongzuo yearbook. Chongzuo local history compilation committee (in Chinese) (2019).Ma, G. X. et al. Assessment of ecological and environmental costs of rare earth resources development in China from 2001–2013. Journal of Natural Resources (in Chinese) (2017).Bai, L. N. et al. The impact of radioactivity on the surrounding environment in the production of rare earths and steel at the Bayan Obo mine. Rare Earths 75–77 (in Chinese) (2004).Li, X. Y. Monitoring and analysis of the radioactive environmental impact of the mining project of Baogang Bayan Obo Iron Mine (West Mine) (in Chinese) (2016).Shi, H. R. & Zhao, R. Y. Comparison of radioactivity levels of rare earth products from different origins. China Radiat. Health 1, 30 (2000).
Google Scholar 
Liu, H. P., Zhong, M. L. & Hu, Y. M. Survey of rare earth natural radionuclides in Ganan, Jiangxi Province. Radiat Prot 34(4), 255–257 (2014).
Google Scholar 
Xiao, X. L. Investigation and Treatment of Radioactive Environment in Rare Earth Mining Area of Mianning (Southwest Jiaotong University, 2013).
Google Scholar 
Min, D., Xu, Z., Peng, L., Zhu, Y. & Xu, X. Comprehensive evaluation of water resources carrying capacity of jining city. Energy Proc. 5(5), 1654–1659 (2011).Article 

Google Scholar 
Yin, J. N. & Song, X. A review of major rare earth element and yttrium deposits in China. Aust. J. Earth Sci. 2, 1–25 (2021).
Google Scholar 
Chi, R., Li, Z. J., Peng, C., Zhu, G. C. & Xu, S. M. Partitioning properties of rare earth ores in China. Rare Met. 24, 205–209 (2005).CAS 

Google Scholar 
Yang, X. J. et al. China’s ion-adsorption rare earth resources, mining consequences and preservation. Environ. Dev. 8, 131–136 (2013).Article 

Google Scholar 
Liu, T. & Chen, J. Extraction and separation of heavy rare earth elements: A review. Sep. Purif. Technol. 276, 119263 (2021).CAS 
Article 

Google Scholar 
Wang, L., Zhong, B., Liang, T., Xing, B. & Zhu, Y. Atmospheric thorium pollution and inhalation exposure in the largest rare earth mining and smelting area in China. Sci. Total Environ. 572, 1–8 (2016).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Gwenzi, W. et al. Sources, behaviour, and environmental and human health risks of high-technology rare earth elements as emerging contaminants. Sci. Total Environ. 636, 299–313 (2018).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Liu, W. S. et al. Water, sediment and agricultural soil contamination from an ion-adsorption rare earth mining area. Chemosphere 216, 75–83 (2019).ADS 
CAS 
PubMed 
Article 

Google Scholar 
Lee, J. C. & Wen, Z. Rare earths from mines to metals: Comparing environmental impacts from China’s main production pathways. J. Ind. Ecol. 21(5), 1277–1290 (2017).CAS 
Article 

Google Scholar 
Shen, L., Wu, N., Zhong, S. & Gao, L. Overview on China’s rare earth industry restructuring and regulation reforms. J. Resour. Ecol. 8, 213–222 (2017).
Google Scholar  More

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doi: https://doi.org/10.1038/d41586-022-00974-y

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CORRESPONDENCE
12 April 2022

Argentina: wildfires jeopardize rewilding

Mario S. Di Bitetti

 ORCID: http://orcid.org/0000-0001-9704-8649

0
,

Carlos De Angelo

 ORCID: http://orcid.org/0000-0002-7759-3321

1
,

Agustín Paviolo

 ORCID: http://orcid.org/0000-0001-7855-4298

2
,

Adrián S. Di Giacomo

 ORCID: http://orcid.org/0000-0002-7976-0197

3
,

Diego Varela

 ORCID: http://orcid.org/0000-0003-3123-6756

4
&

Alejandro R. Giraudo

 ORCID: http://orcid.org/0000-0003-0708-4481

5

Mario S. Di Bitetti

Universidad Nacional de Misiones – CONICET, Puerto Iguazú, Argentina.

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Carlos De Angelo

Universidad Nacional de Río Cuarto – CONICET, Río Cuarto, Argentina.

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Agustín Paviolo

Universidad Nacional de Misiones – CONICET, Puerto Iguazú, Argentina.

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Adrián S. Di Giacomo

Universidad Nacional del Nordeste – CONICET, Corrientes, Argentina.

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Diego Varela

Universidad Nacional de Misiones – CONICET, Puerto Iguazú, Argentina.

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Alejandro R. Giraudo

Universidad Nacional del Litoral-CONICET, Santa Fé, Argentina.

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Ferocious wildfires have already destroyed more than one million hectares this year in the Corrientes province of Argentina — including more than half of Iberá National Park, where a crucial rewilding project is under way (see E. Donadio et al. Nature 603, 225–227; 2022). We call for greater wildfire awareness and improved alarm systems to prevent such large-scale devastation in the future.

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Nature 604, 246 (2022)
doi: https://doi.org/10.1038/d41586-022-01006-5

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The authors declare no competing interests.

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Saatchi, S. S. et al. Benchmark map of forest carbon stocks in tropical regions across three continents. Proc. Natl Acad. Sci. USA 108, 9899–9904 (2011).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Baccini, A. et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nat. Clim. Chang 2, 182–185 (2012).ADS 
CAS 

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Santoro, M. et al. The global forest above-ground biomass pool for 2010 estimated from high-resolution satellite observations. Earth Syst. Sci. Data 13, 3927–3950 (2021).Cox, P. M. et al. Sensitivity of tropical carbon to climate change constrained by carbon dioxide variability. Nature 494, 341–344 (2013).ADS 
CAS 
PubMed 

Google Scholar 
Davidson, E. A. et al. The Amazon basin in transition. Nature 481, 321–328 (2012).ADS 
CAS 
PubMed 

Google Scholar 
Ramankutty, N. & Foley, J. A. Estimating historical changes in global land cover: croplands from 1700 to 1992. Glob. Biogeochem. Cy. 13, 997–1027 (1999).ADS 
CAS 

Google Scholar 
Pongratz, J., Reick, C., Raddatz, T. & Claussen, M. A reconstruction of global agricultural areas and land cover for the last millennium. Glob. Biogeochem. Cy. 22, GB3018 (2008).ADS 

Google Scholar 
Kaplan, J. O. et al. Holocene carbon emissions as a result of anthropogenic land cover change. Holocene 21, 775–791 (2011).ADS 

Google Scholar 
Fearnside, P. M. Deforestation in Brazilian Amazonia: history, rates, and consequences. Conserv Biol. 19, 680–688 (2005).
Google Scholar 
van Marle, M. J. et al. Fire and deforestation dynamics in Amazonia (1973–2014). Glob. Biogeochem. Cy 31, 24–38 (2017).
Google Scholar 
Houghton, R. A. & Nassikas, A. A. Global and regional fluxes of carbon from land use and land cover change 1850–2015. Glob. Biogeochem. Cy 31, 456–472 (2017).ADS 
CAS 

Google Scholar 
Houghton, R. A. Aboveground forest biomass and the global carbon balance. Glob. Change Biol. 11, 945–958 (2005).ADS 

Google Scholar 
Friedlingstein, P. et al. Global carbon budget 2020. Earth Syst. Sci. Data 12, 3269–3340 (2020).ADS 

Google Scholar 
Xu, L. et al. Changes in global terrestrial live biomass over the 21st century. Sci. Adv. 7, eabe9829 (2021).ADS 
CAS 
PubMed 

Google Scholar 
Brando, P. M. et al. The gathering firestorm in southern Amazonia. Sci. Adv. 6, eaay1632 (2020).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Qin, Y. et al. Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon. Nat. Clim. Chang. 11, 442–448 (2021).ADS 

Google Scholar 
Erb, K. H. et al. Unexpectedly large impact of forest management and grazing on global vegetation biomass. Nature 553, 73–76 (2018).ADS 
CAS 
PubMed 

Google Scholar 
Bonan, G. B. Forests and climate change: forcings, feedbacks, and the climate benefits of forests. Science 320, 1444–1449 (2008).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Davin, E. L. & de Noblet-Ducoudré, N. Climatic impact of global-scale deforestation: radiative versus nonradiative processes. J. Clim. 23, 97–112 (2010).ADS 

Google Scholar 
Li, Y. et al. Local cooling and warming effects of forests based on satellite observations. Nat. Commun. 6, 1–8 (2015).ADS 

Google Scholar 
Silvério, D. V. et al. Agricultural expansion dominates climate changes in southeastern Amazonia: the overlooked non-GHG forcing. Environ. Res. Lett. 10, 104015 (2015).
Google Scholar 
Betts, R. Implications of land ecosystem-atmosphere interactions for strategies for climate change adaptation and mitigation. Tellus Ser. B-Chem. Phys. Meteorol. 59, 602–615 (2007).ADS 

Google Scholar 
Gibbard, S., Caldeira, K., Bala, G., Phillips, T. J. & Wickett, M. Climate effects of global land cover change. Geophys. Res. Lett. 32, L23705 (2005).ADS 

Google Scholar 
Bala, G. et al. Combined climate and carbon-cycle effects of large-scale deforestation. Proc. Natl Acad. Sci. USA 104, 6550–6555 (2007).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Bathiany, S., Claussen, M., Brovkin, V., Raddatz, T. & Gayler, V. Combined biogeophysical and biogeochemical effects of large-scale forest cover changes in the MPI earth system model. Biogeosciences 7, 1383–1399 (2010).ADS 
CAS 

Google Scholar 
Devaraju, N., Bala, G. & Modak, A. Effects of large-scale deforestation on precipitation in the monsoon regions: Remote versus local effects. Proc. Natl Acad. Sci. USA 112, 3257–3262 (2015).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Devaraju, N., Bala, G. & Nemani, R. Modelling the influence of land‐use changes on biophysical and biochemical interactions at regional and global scales. Plant Cell Environ. 38, 1931–1946 (2015).CAS 
PubMed 

Google Scholar 
Henderson-Sellers, A. & Gornitz, V. Possible climatic impacts of land cover transformations, with particular emphasis on tropical deforestation. Clim. Change 6, 231–257 (1984).ADS 

Google Scholar 
Dickinson, R. E. & Henderson‐Sellers, A. Modelling tropical deforestation: a study of GCM land‐surface parametrizations. Q. J. R. Meteorol. Soc. 114, 439–462 (1988).ADS 

Google Scholar 
Zhang, H., Henderson-Sellers, A. & McGuffie, K. Impacts of tropical deforestation. Part I: process analysis of local climatic change. J. Clim. 9, 1497–1517 (1996).ADS 

Google Scholar 
Costa, M. H. & Foley, J. A. Combined effects of deforestation and doubled atmospheric CO2 concentrations on the climate of Amazonia. J. Clim. 13, 18–34 (2000).ADS 

Google Scholar 
Lawrence, D. & Vandecar, K. Effects of tropical deforestation on climate and agriculture. Nat. Clim. Chang. 5, 27–36 (2015).ADS 

Google Scholar 
Nobre, C. A., Sellers, P. J. & Shukla, J. Amazonian deforestation and regional climate change. J. Clim. 4, 957–988 (1991).ADS 

Google Scholar 
Gedney, N. & Valdes, P. J. The effect of Amazonian deforestation on the northern hemisphere circulation and climate. Geophys. Res. Lett. 27, 3053–3056 (2000).ADS 

Google Scholar 
Nobre, P., Malagutti, M., Urbano, D. F., de Almeida, R. A. & Giarolla, E. Amazon deforestation and climate change in a coupled model simulation. J. Clim. 22, 5686–5697 (2009).ADS 

Google Scholar 
Snyder, P. K. The influence of tropical deforestation on the Northern Hemisphere climate by atmospheric teleconnections. Earth Interact. 14, 1–34 (2010).
Google Scholar 
Spracklen, D. V., Baker, J. C. A., Garcia-Carreras, L. & Marsham, J. H. The effects of tropical vegetation on rainfall. Annu. Rev. Environ. Resour. 43, 193–218 (2018).
Google Scholar 
Leite-Filho, A. T., Soares-Filho, B. S., Davis, J. L., Abrahão, G. M. & Börner, J. Deforestation reduces rainfall and agricultural revenues in the Brazilian Amazon. Nat. Commun. 12, 1–7 (2021).
Google Scholar 
Baidya Roy, S. & Avissar, R. Impact of land use/land cover change on regional hydrometeorology in Amazonia. J. Geophys. Res. Atmos. 107, LBA-4 (2002).
Google Scholar 
Khanna, J., Medvigy, D., Fisch, G. & de Araújo Tiburtino Neves, T. T. Regional hydroclimatic variability due to contemporary deforestation in southern Amazonia and associated boundary layer characteristics. J. Geophys. Res. Atmos. 123, 3993–4014 (2018).ADS 

Google Scholar 
McGuffie, K., Henderson-Sellers, A., Zhang, H., Durbidge, T. B. & Pitman, A. J. Global climate sensitivity to tropical deforestation. Glob. Planet. Change 10, 97–128 (1995).ADS 

Google Scholar 
Zhang, H., Henderson-Sellers, A. & McGuffie, K. The compounding effects of tropical deforestation and greenhouse warming on climate. Clim. Change 49, 309–338 (2001).CAS 

Google Scholar 
Voldoire, A. & Royer, J. F. Climate sensitivity to tropical land surface changes with coupled versus prescribed SSTs. Clim. Dyn. 24, 843–862 (2005).
Google Scholar 
Mahmood, R. et al. Land cover changes and their biogeophysical effects on climate. Int. J. Climatol. 34, 929–953 (2014).
Google Scholar 
Kooperman, G. J. et al. Forest response to rising CO2 drives zonally asymmetric rainfall change over tropical land. Nat. Clim. Chang. 8, 434–440 (2018).ADS 

Google Scholar 
Doughty, C. E. & Goulden, M. L. Are tropical forests near a high temperature threshold? J. Geophys. Res. Biogeosci. 113, G00B07 (2008).ADS 

Google Scholar 
Sullivan, M. J. et al. Long-term thermal sensitivity of Earth’s tropical forests. Science 368, 869–874 (2020).ADS 
CAS 
PubMed 

Google Scholar 
Wu, C. et al. Historical and future global burned area with changing climate and human demography. One Earth 4, 517–530 (2021).ADS 

Google Scholar 
Brando, P. M. et al. Abrupt increases in Amazonian tree mortality due to drought–fire interactions. Proc. Natl Acad. Sci. USA 111, 6347–6352 (2014).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Nobre, C. A. et al. Land-use and climate change risks in the Amazon and the need of a novel sustainable development paradigm. Proc. Natl Acad. Sci. USA 113, 10759–10768 (2016).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Trumbore, S., Brando, P. & Hartmann, H. Forest health and global change. Science 349, 814–818 (2015).ADS 
CAS 
PubMed 

Google Scholar 
Green, J. K., Berry, J., Ciais, P., Zhang, Y. & Gentine, P. Amazon rainforest photosynthesis increases in response to atmospheric dryness. Sci. Adv. 6, eabb7232 (2020).ADS 
PubMed 
PubMed Central 

Google Scholar 
Numata, I. et al. Biomass collapse and carbon emissions from forest fragmentation in the Brazilian Amazon. J. Geophys. Res. Biogeosci. 115, G03027 (2010).ADS 

Google Scholar 
Junior, C. H. S. et al. Persistent collapse of biomass in Amazonian forest edges following deforestation leads to unaccounted carbon losses. Sci. Adv. 6, eaaz8360 (2020).ADS 

Google Scholar 
Lawrence, D. M. et al. The Land Use Model Intercomparison Project (LUMIP) contribution to CMIP6: rationale and experimental design. Geosci. Model Dev. 9, 2973–2998 (2016).ADS 

Google Scholar 
Friedlingstein, P. et al. Climate–carbon cycle feedback analysis: results from the C4MIP model intercomparison. J. Clim. 19, 3337–3353 (2006).ADS 

Google Scholar 
Wu, T. et al. The Beijing Climate Center climate system model (BCC-CSM): the main progress from CMIP5 to CMIP6. Geosci. Model Dev. 12, 1573–1600 (2019).ADS 

Google Scholar 
Swart, N. C. et al. The Canadian Earth System Model version 5 (CanESM5. 0.3). Geosci. Model Dev. 12, 4823–4873 (2019).ADS 
CAS 

Google Scholar 
Danabasoglu, G. et al. The Community Earth System Model version 2 (CESM2). J. Adv. Model Earth Syst. 12, e2019MS001916 (2020).ADS 

Google Scholar 
Séférian, R. et al. Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: role of earth system processes in present‐day and future climate. J. Adv. Model Earth Syst. 11, 4182–4227 (2019).ADS 

Google Scholar 
Boucher, O. et al. Presentation and evaluation of the IPSL-CM6A-LR climate model. J. Adv. Model Earth Syst. 12, 1–52 (2020).
Google Scholar 
Kelley, M. et al. GISS‐E2. 1: configurations and climatology. J. Adv. Model Earth Syst. 12, e2019MS002025 (2020).ADS 
PubMed 
PubMed Central 

Google Scholar 
Sellar, A. A. et al. Implementation of UK Earth system models for CMIP6. J. Adv. Model Earth Syst. 12, e2019MS001946 (2020).ADS 

Google Scholar 
Mauritsen, T. et al. Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1. 2) and its response to increasing CO2. J. Adv. Model Earth Syst. 11, 998–1038 (2019).ADS 
PubMed 
PubMed Central 

Google Scholar 
Boysen, L. et al. Global climate response to idealized deforestation in CMIP6 models. Biogeosciences 17, 5615–5638 (2020).ADS 
CAS 

Google Scholar 
Malhi, Y. et al. Exploring the likelihood and mechanism of a climate-change-induced dieback of the Amazon rainforest. Proc. Natl Acad. Sci. USA 106, 20610–20615 (2009).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Novick, K. A. et al. The increasing importance of atmospheric demand for ecosystem water and carbon fluxes. Nat. Clim. Chang. 6, 1023–1027 (2016).ADS 
CAS 

Google Scholar 
Hurtt, G. C. et al. Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6. Geosci. Model Dev. 13, 5425–5464 (2020).ADS 
CAS 

Google Scholar 
Ciais, P. et al. Carbon and other biogeochemical cycles. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. (eds Stocker et al.) 465–570 (Cambridge Univ Press, UK and USA, 2013).Arora, V. K. et al. Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models. Biogeosciences 17, 4173–4222 (2020).ADS 
CAS 

Google Scholar 
Jones, C. D. et al. C4MIP–The coupled climate–carbon cycle model intercomparison project: experimental protocol for CMIP6. Geosci. Model Dev. 9, 2853–2880 (2016).ADS 
CAS 

Google Scholar 
UNFCCC. Background paper for the Workshop on Reducing Emissions from Deforestation in Developing Countries, Part 1: Scientific, Socio-economic, Technical, and Methodological Issues Related to Deforestation in Developing Countries 30 August to 1 September, Rome, Italy. Working paper No. 1(a) (2006).Asner, G. P. Tropical forest carbon assessment: integrating satellite and airborne mapping approaches. Environ. Res. Lett. 4, 034009 (2009).ADS 

Google Scholar 
Mahowald, N. M. et al. Interactions between land use change and carbon cycle feedbacks. Glob. Biogeochem. Cy 31, 96–113 (2017).CAS 

Google Scholar 
Hubau, W. et al. Asynchronous carbon sink saturation in African and Amazonian tropical forests. Nature 579, 80–87 (2020).ADS 
CAS 
PubMed 

Google Scholar 
Gibbs, H. K., Brown, S., Niles, J. O. & Foley, J. A. Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environ. Res. Lett. 2, 045023 (2007).ADS 

Google Scholar 
Zhao, Z. et al. Fire enhances forest degradation within forest edge zones in Africa. Nat. Geosci. 14, 479–483 (2021).ADS 
CAS 

Google Scholar 
Ordway, E. M. & Asner, G. P. Carbon declines along tropical forest edges correspond to heterogeneous effects on canopy structure and function. Proc. Natl Acad. Sci. USA117, 7863–7870 (2020).CAS 
PubMed 
PubMed Central 

Google Scholar 
Fischer, R. et al. Accelerated forest fragmentation leads to critical increase in tropical forest edge area. Sci. Adv. 7, eabg7012 (2021).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
McDowell, N. et al. Drivers and mechanisms of tree mortality in moist tropical forests. N. Phytol. 219, 851–869 (2018).
Google Scholar 
Staver, A. C., Archibald, S. & Levin, S. A. The global extent and determinants of savanna and forest as alternative biome states. Science 334, 230–232 (2011).ADS 
CAS 
MATH 

Google Scholar 
Fu, R. et al. Increased dry-season length over southern Amazonia in recent decades and its implication for future climate projection. Proc. Natl Acad. Sci. USA 110, 18110–18115 (2013).ADS 
CAS 
PubMed 
PubMed Central 

Google Scholar 
Bagley, J. E., Desai, A. R., Harding, K. J., Snyder, P. K. & Foley, J. A. Drought and deforestation: has land cover change influenced recent precipitation extremes in the Amazon? J. Clim. 27, 345–361 (2014).ADS 

Google Scholar 
Arora, V. K. et al. Carbon–concentration and carbon–climate feedbacks in CMIP5 Earth system models. J. Clim. 26, 5289–5314 (2013).ADS 

Google Scholar 
Duveiller, G. et al. Biophysics and vegetation cover change: a process-based evaluation framework for confronting land surface models with satellite observations. Earth Syst. Sci. Data 10, 1265–1279 (2018).ADS 

Google Scholar 
Schulzweida, U. Climate data operators (CDO) user guide (Version 1.9.8). https://doi.org/10.5281/zenodo.3539275 (2019).Tropical Rainfall Measuring Mission (TRMM) TRMM (TMPA/3B43) Rainfall Estimate L3 1 month 0.25 degree x 0.25 degree V7, Greenbelt, MD, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/TRMM/TMPA/MONTH/7 (2011).Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data 7, 1–18 (2020).
Google Scholar 
Yang, H. et al. Comparison of forest above‐ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation‐based estimates. Glob. Chang. Biol. 26, 3997–4012 (2020).ADS 
PubMed 

Google Scholar 
Schneider, U. et al. GPCC Full Data Reanalysis Version 6.0 at 1.0o: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data. https://doi.org/10.5676/DWD_GPCC/FD_M_V7_100 (2011).Liu, Y. Y. et al. Recent reversal in loss of global terrestrial biomass. Nat. Clim. Chang 5, 470–474 (2015).ADS 

Google Scholar 
Spracklen, D. V. & Garcia‐Carreras, L. The impact of Amazonian deforestation on Amazon basin rainfall. Geophys. Res. Lett. 42, 9546–9552 (2015).ADS 

Google Scholar  More