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Solar steam generation has been extensively studied for its potential application in power generation and water treatment. Although some efficient evaporators have been developed, the challenge of the abrupt drop in the evaporator performance under outdoor environments remains to be overcome. The heteroblasty of Monstera and other climbers allows them to grow rapidly under the extreme shade of a tropical rainforest, inspiring the design of a high‐efficiency evaporator that can function even in weak light environments. Herein, artificial trees that imitate the leaf fenestration of Monstera combined with the Chinese paper cutting technique exhibit the highest evaporation rate of 2.30 kg m−2 h−1. Moreover, under oblique incidence (from 0° to 75°) and dappled sunlight, the evaporation rates of artificial trees with leaf fenestration are 1.08–1.26 and 1.34–2.78 times those of artificial trees without leaf fenestration and a 2D evaporator, respectively. The excellent performance is attributed to high‐efficiency light absorption, photothermal conversion, high evaporation area, and excellent light and thermal management abilities, which are achieved through leaf fenestration and efficient thermal recovery through multiple reflections of light and thermal radiation between the leaves. The design of the 3D hierarchical structure and leaf fenestration are also applicable for various light absorbents. [ABSTRACT FROM AUTHOR]

• Recovery of three forest sites under Broussonetia papyrifera was investigated. • Indigenous trees occurred in all stands but their degrees of recovery were variable. • The least recovered sites had the highest levels of anthropogenic disturbance. • %mulberry cover was -ly correlated with species richness and seedling density. • All sites showed potential to recover through natural regeneration and succession. There are many studies on the applicability of natural regeneration for recovery of degraded forests. Studies of the potential of natural regeneration and succession to restore degraded forest areas under invasive exotic plants are few in comparison. This study examined the potential of these processes to bring about the recovery of large areas under the exotic paper mulberry Broussonetia papyrifera in Mabira Forest, Uganda. The areas of focus were degraded by farming but abandoned and invaded by mulberry 30 years ago. Sampling was conducted in three mulberry-dominant stands (Int 1, Int 2, and Hv) that were differentiated by the degree of mulberry cutting by local communities and other anthropogenic disturbances. Primary forest (Nt) was a fourth stand used as a reference. Data were collected using Modified-Whittaker Plots, transects and other plot types adapted to record impact of disturbance. Analyses of stem density showed that both mulberry and native trees occurred in all the stands in varying densities and age classes from seedling to tree class size. Non-metric multidimensional scaling showed Int 1 (a relatively undisturbed stand with fully grown mulberry) to be closest to Nt floristically, followed by Int 2 (a disturbed stand with fully grown mulberry). Hv (a disturbed stand with low stature mulberry) was least similar to Nt. Overall, Int 1 was closer to Nt than to any of the other stands; while Int 2 was closer to Hv than to Int 1 or to Nt. Most analyses of seedling and sapling densities and species diversity of native trees showed a pattern whereby Hv < Int 2 < Int 1 < Nt. Numbers of forest-typical species varied between stands but not significantly. Inter-stand differences in the levels of disturbance were pronounced with Hv and Int 2 having significantly higher incidences of illegal indigenous tree cutting and charcoal kilning than Int 1. Regressions of percent cover values on seedling densities, sapling densities and species richness showed negative relationships between mulberry cover and native tree seedling density and species richness but not sapling density. Indigenous tree sapling densities were positively correlated with indigenous tree species cover. These findings suggest that anthropogenic disturbance and to a smaller extent mulberry factors; and not differences in rates of species colonization and degrees of species performance explain the current state of recovery of the stands. Natural regeneration and succession therefore have potential to recover the degraded sites and reverse the dominance of mulberry if the ongoing human disturbance is stopped. [ABSTRACT FROM AUTHOR]

As an important parameter of forest biomass, forest height is of great significance for the calculation of forest carbon stock and the study of the carbon cycle in large-scale regions. The main idea of the current forest height inversion methods using multi-baseline P-band polarimetric interferometric synthetic aperture radar (PolInSAR) data is to select the best baseline for forest height inversion. However, the approach of selecting the optimal baseline for forest height inversion results in the process of forest height inversion being unable to fully utilize the abundant observation data. In this paper, to solve the problem, we propose a multi-baseline forest height inversion method combining analytic and geometric expression of the random volume over ground (RVoG) model, which takes into account the advantages of the selection of the optimal observation baseline and the utilization of multi-baseline information. In this approach, for any related pixel, an optimal baseline is selected according to the geometric structure of the coherence region shape and the functional model for forest height inversion is established by the RVoG model's analytic expression. In this way, the other baseline observations are transformed into a constraint condition according to the RVoG model's geometric expression and are also involved in the forest height inversion. PolInSAR data were used to validate the proposed multi-baseline forest height inversion method. The results show that the accuracy of the forest height inversion with the algorithm proposed in this paper in a coniferous forest area and tropical rainforest area was improved by 17% and 39%, respectively. The method proposed in this paper provides a multi-baseline PolInSAR forest height inversion scheme for exploring regional high-precision forest height distribution. The scheme is an applicable method for large-scale, high-precision forest height inversion tasks. [ABSTRACT FROM AUTHOR]

Ecological studies of orangutans have almost exclusively focused on populations living in primary or selectively logged rainforest. The response of orangutans to severe habitat degradation remains therefore poorly understood. Most experts assume that viable populations cannot survive outside undisturbed or slightly disturbed forests. This is a concern because nearly 75% of all orangutans live outside protected areas, where degradation of natural forests is likely to occur, or where these are replaced by planted forests. To improve our understanding of orangutan survival in highly altered forest habitats, we conducted population density surveys in two pulp and paper plantation concessions in East Kalimantan, Indonesia. These plantations consist of areas planted with fast-growing exotics intermixed with stands of highly degraded forests and scrublands. Our rapid surveys indicate unexpectedly high orangutan densities in plantation landscapes dominated by Acacia spp., although it remains unclear whether such landscapes can maintain long-term viable populations. These findings indicate the need to better understand how plantation-dominated landscapes can potentially be incorporated into orangutan conservation planning. Although we emphasize that plantations have less value for overall biodiversity conservation than natural forests, they could potentially boost the chances of orangutan survival. Our findings are based on a relatively short study and various methodological issues need to be addressed, but they suggest that orangutans may be more ecologically flexible than previously thought. [ABSTRACT FROM AUTHOR]

Throughout South-East Asia, droughts associated with ENSO (El Niño Southern Oscillation) events have resulted in large-scale fires affecting millions of hectares of rain forest. However, the long-term impacts of these fires on the rain forest faunas are only poorly understood. Our aim was to study the recovery of rain forest butterfly assemblages following the 1997–98 ENSO event, which resulted in the largest-scale fires in the recorded history of the region. A 420-km2 area in the Balikpapan-Samarinda region of East Kalimantan, Indonesian Borneo. Four landscapes were assessed after the 1997–98 ENSO event, including one landscape that was assessed prior to the event. Comparisons of species richness, species composition and guild abundance were made among landscapes and years. The relative importance of environment, geographical distance between sampling sites, and time between sampling years was quantified during the succession phase using a variance partitioning technique. The fires dramatically altered the butterfly community and resulted in a major decline in observed species richness within the landscape surveyed prior to the ENSO event. Following fires in 1998, butterfly assemblages in all landscapes were dominated by large-winged generalist species. During 1999 and 2000, assemblages became increasingly dominated by smaller specialist species. Species endemic to Borneo that were present before fires were absent in 2000, despite intensive sampling over enhanced spatial and environmental scales. Community similarity was significantly dependent upon local environmental variables, geographical distance between sampling sites, and time between sampling years. Together, these explained over 52% of the observed variation in samples. The importance of geographical distance between sampling sites indicates that recovery was dependent upon colonization from proximate habitats. Despite an apparent trend of return to pre-ENSO community structure, low species richness throughout the survey area indicates that full recovery had not taken place by 2000. [ABSTRACT FROM AUTHOR]

We studied the temporal and spatial patterns in deforestation and community structure of mammals in a fragmented old-growth, temperate rain forest to test the hypothesis that anthropogenic habitat conversion advances in a nonrandom manner across native landscapes, and that its effects on ecological communities are both persistent and predictable. The location is the Hood Canal district of Olympic National Forest, Washington, USA. Deforestation followed the apparently general pattern observed for deforestation of tropical rain forests and other native landscapes, advancing first along low and relatively level valleys, then to areas at higher elevations and along steeper slopes, and eventually to sites more distant from those of initial land conversion and transportation centres. Mammal surveys within this area indicated that this nonrandom advance of deforestation has created relatively steep geographical and topographic gradients in both local and landscape-level factors and, ultimately, in the structure of mammalian communities. The close and likely causal relationship between anthropogenic habitat loss and the ecological dynamics of mammalian communities and dependent species (e.g. spotted owls) indicates that our abilities to understand and eventually reduce the current extinction crisis may rely heavily on our understanding of, and abilities to modify, the manner in which we expand across and transform native landscapes. [ABSTRACT FROM AUTHOR]

The accuracy of digital elevation models (DEMs) in forested areas plays a crucial role in canopy height monitoring and ecological sensitivity analysis. Despite extensive research on DEMs in recent years, significant errors still exist in forested areas due to factors such as canopy occlusion, terrain complexity, and limited penetration, posing challenges for subsequent analyses based on DEMs. Therefore, a CNN-LightGBM hybrid model is proposed in this paper, with four different types of forests (tropical rainforest, coniferous forest, mixed coniferous and broad-leaved forest, and broad-leaved forest) selected as study sites to validate the performance of the hybrid model in correcting COP30DEM in different forest area DEMs. In the hybrid model of this paper, the choice was made to use the Densenet architecture of CNN models with LightGBM as the primary model. This choice is based on LightGBM's leaf-growth strategy and histogram linking methods, which are effective in reducing the data's memory footprint and utilising more of the data without sacrificing speed. The study uses elevation values from ICESat-2 as ground truth, covering several parameters including COP30DEM, canopy height, forest coverage, slope, terrain roughness and relief amplitude. To validate the superiority of the CNN-LightGBM hybrid model in DEMs correction compared to other models, a test of LightGBM model, CNN-SVR model, and SVR model is conducted within the same sample space. To prevent issues such as overfitting or underfitting during model training, although common meta-heuristic optimisation algorithms can alleviate these problems to a certain extent, they still have some shortcomings. To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. By comparing multiple models and validating the data with an airborne LiDAR reference dataset, the results show that the R2 (R-Square) of the CNN-LightGBM model improves by more than 0.05 compared to the other models, and performs better in the experiments. The FA-SSA-CNN-LightGBM model has the highest accuracy, with an RMSE of 1.09 meters, and a reduction of more than 30% of the RMSE when compared to the LightGBM and other hybrid models. Compared to other forested area DEMs (such as FABDEM and GEDI), its accuracy is improved by more than 50%, and the performance is significantly better than other commonly used DEMs in forested areas, indicating the feasibility of this method in correcting elevation errors in forested area DEMs and its significant importance in advancing global topographic mapping. [ABSTRACT FROM AUTHOR]

Born among volcanoes in the north central Pacific about 4 million years ago, the Hawaiian rainforest became assembled from spores of algae, fungi, lichens, bryophytes, ferns and from seeds of about 275 flowering plants that over the millenia evolved into ca. 1000 endemic species. Outstanding among the forest builders were the tree ferns (Cibotium spp.) and the 'Ōhi'a lehua trees (Metrosideros spp.), which still dominate the Hawaiian rainforest ecosystem today. The structure of this forest is simple. The canopy in closed mature rainforests is dominated by cohorts of Metrosideros polymorpha and the undergrowth by tree fern species of Cibotium. When a new lava flow cuts through this forest, kipuka are formed, i.e. islands of remnant vegetation. On the new volcanic substrate, the assemblage of plant life-forms is similar as during the evolution of this system. In open juvenile forests, a mat-forming fern, the uluhe fern (Dicranopteris lineraris) becomes established. It inhibits further regeneration of the dominant 'Ōhi'a tree, thereby reinforcing the cohort structure of the canopy guild. In the later part of its life cycle, the canopy guild breaks down often in synchrony. The trigger is hypothesized to be a climatic perturbation. After that disturbance the forest becomes reestablished in about 30-40 yr. As the volcanic surfaces age, they go from a mesotrophic to a eutrophic phase, reaching a biophilic nutrient climax by about 1-25 K yr. Thereafter, a regressive oligotrophic phase follows; the soils become exhausted of nutrients. The shield volcanoes break down. Marginally, forest habitats change into bogs and stream ecosystems. The broader 'Ōhi'a rainforest redeveloping in the more dissected landscapes of the older islands looses stature, often forming large gaps that are invaded by the aluminum tolerant uluhe fern. The 'Ōhi'a trees still thrive on soils rejuvenated from landslides and from Asian dust on the oldest (5 million year old) island Kaua'i but their stature and living biomass is greatly diminished. [ABSTRACT FROM AUTHOR]

This review investigates the utilization of the One Health approach to advance sustainable development and enhance health in the Hainan tropical rainforest, which is a unique ecosystem with significant biodiversity and environmental value. The region is confronted with threats arising from human activities and climate change, impacting both the health of the inhabitants and the ecosystem. The Hainan tropical rainforests create an ideal habitat for the transmission of mosquito-borne diseases, such as dengue fever and malaria, between humans and animals. The hot and humid climate creates favorable conditions for mosquito proliferation, while increased human encroachment into forested areas escalates the risk of contact with wildlife reservoirs of these diseases. Proactive surveillance of emerging infectious diseases in the forests and animal populations of Hainan is crucial for early detection and swift response to potential public health hazards. By embracing the interdisciplinary and collaborative principles of the One Health approach, this review aims to safeguard the ecosystem while fostering development. The introduction offers insights into the significance of the One Health concept, its relevance to environmental conservation, human health, and animal health. Subsequently, the paper delves into the practical application of the One Health approach in the Hainan tropical rainforest, using it as a case study. This application entails raising awareness of ecosystem health through educational initiatives and public outreach, implementing effective ecological conservation measures, promoting wildlife conservation efforts, and monitoring and preventing potential disease outbreaks. Furthermore, the paper highlights the importance of the One Health approach in achieving sustainable development in the Hainan tropical rainforest. It also explores potential research directions and associated challenges. By prioritizing the collective well-being of humans, animals, and the environment, the One Health approach offers a means to balance ecosystem conservation and human welfare. [ABSTRACT FROM AUTHOR]

In this paper, we investigate similarities of effects of soil environmental drivers on year-round daily soil fluxes of nitrous oxide and methane for three distinct semi-natural or natural ecosystems: temperate spruce forest, Germany; tropical rain forest, Queensland, Australia; and ungrazed semi-arid steppe, Inner Mongolia, China. Annual cumulative fluxes of nitrous oxide and methane varied markedly among ecosystems, with nitrous oxide fluxes being highest for the tropical forest site (tropical forest: 0.96 kg N ha-1 yr-1; temperate forest: 0.67 kg N ha-1 yr-1; steppe: 0.22 kg N ha-1 yr-1), while rates of soil methane uptake were approximately equal for the temperate forest (3.45 kg C ha-1 yr-1) and the steppe (3.39 kg C ha-1 yr-1), but lower for the tropical forest site (2.38 kg C ha-1 yr-1). In order to allow for cross-site comparison of effects of changes in soil moisture and soil temperature on fluxes of methane and nitrous oxide, we used a normalization approach. Data analysis with normalized data revealed that across sites, optimum rates of methane uptake are found at environmental conditions representing approximately average site environmental conditions. This might have rather important implications for understanding effects of climate change on soil methane uptake potential, since any shift in environmental conditions is likely to result in a reduction of soil methane uptake ability. For nitrous oxide, our analysis revealed expected patterns: highest nitrous oxide emissions under moist and warm conditions and large nitrous oxide fluxes if soils are exposed to freeze-thawing effects at sufficient high soil moisture contents. However, the explanatory power of relationships of soil moisture or soil temperature to nitrous oxide fluxes remained rather poor (≤ 0.36). When combined effects of changes in soil moisture and soil temperature were considered, the explanatory power of our empirical relationships with regard to temporal variations in nitrous oxide fluxes were at maximum about 50%. This indicates that other controlling factors such as N and C availability or microbial community dynamics might exert a significant control on the temporal dynamic of nitrous oxide fluxes. Though underlying microbial processes such as nitrification and denitrification are sensitive to changes in the environmental regulating factors, important regulating factors like moisture and temperature seem to have both synergistic and antagonistic effects on the status of other regulating factors. Thus we cannot expect a simple relationship between them and the pattern in the rate of emissions, associated with denitrification or nitrification in the soils. In conclusion, we hypothesize that our approach of data generalization may prove beneficial for the development of environmental response models which can be used across sites, and which are needed to help better understanding climate change feed-backs on biospheric sinks or sources of nitrous oxide and methane. [ABSTRACT FROM AUTHOR]

Ulu Muda Forest Reserve is located in the north-west of Peninsular Malaysia, and plays a vital role in terms of conservation and water supply. It is home to numerous endangered animals and hundreds of tree species. The forest also supplies water for millions of Malaysians, making the forest a vital water catchment area. The forest has also been the centre of several controversial issues, due to logging and inter-state water supply disputes. To truly understand the significance of the forest, we systematically reviewed literature pertaining to Ulu Muda Forest Reserve. Fifteen articles were selected for review. From 2000 to 2009, prior research papers focused on logging and deforestation effects. However, from 2010 to 2020, more research has been focused on biodiversity. This paper demonstrated the Ulu Muda Forest houses a diverse range of flora and fauna including the hair-nosed otter, which is extinct in several countries. Our findings conveyed how logging poses as a threat to water catchment areas in Ulu Muda. This paper contributes to further knowledge on the Ulu Muda ecosystem while suggesting future conservation management strategies. [ABSTRACT FROM AUTHOR]

Marine ecosystems are experiencing unprecedentedly high degradation rates than any other ecosystem on the planet, which in some instances are up to four times that of rainforests. Mangrove ecosystems have especially been impacted by compounded anthropogenic pressures leading to significant cover reductions of between 35 and 50% (equivalent to 1-2% loss pa) for the last half century. The main objective of this study was to test the hypothesis that peri-urban mangroves suffering from compounded and intense pressures may be experiencing higher degradation rates than the global mean (and/or national mean for Kenya) using Mombasa mangroves (comprising of Tudor and Mwache creeks) as a case study. Stratified sampling was used to sample along 22 and 10 belt transects in Mwache and Tudor respectively, set to capture stand heterogeneity in terms of species composition and structure in addition to perceived human pressure gradients using proximity to human habitations as a proxy. We acquired SPOT (HRV/ HRVIR/ HRS) imageries of April 1994, May 2000 and January 2009 and a vector mangrove map of 1992 at a scale of 1 : 50000 for cover change and species composition analysis. Results from image classification of the 2009 image had 80.23% overall accuracy and Cohen's Kappa of 0.77, thus proving satisfactory for use in this context. Structural data indicate that complexity index (CI) which captures stand structural development was higher in Mwache at 1.80 compared to Tudor at 1.71. From cover change data, Tudor had lost 86.9% of the forest between 1992 and 2009, compared to Mwache at 45.4% representing very high hitherto undocumented degradation rates of 5.1 and 2.7%pa, respectively. These unprecedentedly high degradation rates, which far exceed not only the national mean (for Kenya of 0.7%pa) but the global mean as well, strongly suggest that these mangroves are highly threatened due to compounded pressures. Strengthening of governance regimes through enforcement and compliance to halt illegal wood extraction, improvement of land-use practices upstream to reduce soil erosion, restoration in areas where natural regeneration has been impaired, provision of alternative energy sources/building materials and a complete moratorium on wood extraction especially in Tudor creek to allow recovery are some of the suggested management interventions. [ABSTRACT FROM AUTHOR]

Fungi are ubiquitous in the atmosphere and may play an important role in atmospheric processes. We investigated the composition and diversity of fungal communities over the Amazon rainforest canopy and compared these communities to fungal communities found in terrestrial environments. We characterized the total fungal community and the metabolically active portion of the community using high-throughout DNA and RNA sequencing and compared these data to predictions generated by a mass-balance model. We found that the total community was primarily comprised of fungi from the phylum Basidiomycota. In contrast, the active community was primarily composed of members of the phylum Ascomycota and included a high relative abundance of lichen fungi, which were not detected in the total community. The relative abundance of Basidiomycota and Ascomycota in the total and active communities was consistent with our model predictions, suggesting that this result was driven by the relative size and number of spores produced by these groups. When compared to other environments, fungal communities in the atmosphere were most similar to communities found in tropical soils and leaf surfaces, suggesting that inputs of fungi to the atmosphere are from local, rather than distant, sources. Our results demonstrate that there are significant diffrences in the composition of the total and active fungal communities in the atmosphere, and that lichen fungi, which have been shown to be efficient ice nucleators, may be abundant members of active atmospheric fungal communities over the forest canopy. [ABSTRACT FROM AUTHOR]

Fungal decay of heartwood creates hollows and areas of reduced wood density within the stems of living trees known as heart rot. Although heart rot is acknowledged as a source of error in forest aboveground biomass estimates, there are few datasets available to evaluate the environmental controls over heart rot infection and severity in tropical forests. Using legacy and recent data from drilled, felled, and cored stems in mixed dipterocarp forests in Sarawak, Malaysian Borneo, we quantified the frequency and severity of heart rot, and used generalized linear mixed effect models to characterize the association of heart rot with tree size, wood density, taxonomy, and edaphic conditions. Heart rot was detected in 55 % of felled stems > 30 cm DBH, while the detection frequency was lower for stems of the same size evaluated by non-destructive drilling (45%) and coring (23%) methods. Heart rot severity, defined as the percent stem volume lost in infected stems, ranged widely from 0.1-82.8%. Tree taxonomy explained the greatest proportion of variance in heart rot frequency and severity among the fixed and random effects evaluated in our models. Heart rot frequency, but not severity, increased sharply with tree diameter, ranging from 56% infection across all datasets in stems > 50 cm DBH to 11 % in trees 10-30 cm DBH. The frequency and severity of heart rot increased significantly in soils with low pH and cation concentrations in top-soil, and heart rot was more common in tree species associated with dystrophic sandy soils than with nutrient-rich clays. When scaled to forest stands, the percent of stem biomass lost to heart rot varied significantly with soil properties, and we estimate that 7% of the forest biomass is in some stage of heart rot decay. This study demonstrates not only that heart rot is a significant source of error in forest carbon estimates, but also that it strongly covaries with soil resources, underscoring the need to account for edaphic variation in estimating carbon storage in tropical forests. [ABSTRACT FROM AUTHOR]

Earth observation based long-term global vegetation index products are used by scientists from a wide range of disciplines concerned with global change. Inter-comparison studies are commonly performed to keep the user community informed on the consistency and accuracy of such records as they evolve. In this study, we compared two new records: (1) Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index Version 3 (NDVI3g) and (2) Vegetation Index and Phenology Lab (VIP) Version 3 NDVI (NDVI3v) and Enhanced Vegetation Index 2 (EVI3v). We evaluated the two records via three experiments that addressed the primary use of such records in global change research: (1) prediction of the Leaf Area Index (LAI) used in light-use efficiency modeling, (2) estimation of vegetation climatology in Soil- Vegetation-Atmosphere Transfer models, and (3) trend analysis of the magnitude and phenology of vegetation productivity. Experiment one, unlike previous inter-comparison studies, was performed with a unique Landsat 30m spatial resolution and in situ LAI database for major crop types on five continents. Overall, the two records showed a high level of agreement both in direction and magnitude on a monthly basis, though VIP values were higher and more variable and showed lower correlations and higher error with in situ LAI. The records were most consistent at northern latitudes during the primary growing season and southern latitudes and the tropics throughout much of the year, while the records were less consistent at northern latitudes during green-up and senescence and in the great deserts of the world throughout much of the year. The two records were also highly consistent in terms of trend direction/magnitude, showing a 30+ year increase (decrease) in NDVI over much of the globe (tropical rainforests). The two records were less consistent in terms of timing due to the poor correlation of the records during start and end of growing season. [ABSTRACT FROM AUTHOR]

The establishment of the ecological protection redline (EPR) in China plays a crucial role in safeguarding key ecological functional areas and sustaining biodiversity. Besides their significance, the impact of these redlines on regional carbon sequestration remains unclear due to current inconsistencies in their implementation and adjustment. This paper conducts a thorough analysis of the evolution of two EPR versions on Hainan Island and employs the InVEST model to assess the effects of two EPR areas on regional carbon storage between 2000 and 2020. Additionally, a spatial autoregressive model is integrated to explore the socioeconomic and environmental driving mechanisms behind changes in regional carbon storage, thereby revealing complex interactions between ecological protection policy adjustments and ecosystem services of carbon storage. Key findings include: (1) The 2022 EPR area has improved the management of ecological protection boundaries, permanent cultivated land, and urban development boundaries, outperforming the 2016 version, particularly in control of construction land and water resource management. (2) The EPR2022 exhibits higher carbon storage per area, indicating a more effective zoning system. The increase in carbon storage is primarily observed in transitions from cultivated land to forest, grassland to forest, and water bodies to grassland. (3) Elevation exhibits a relatively strong positive correlation with carbon storage within the EPRs, with high-altitude areas typically encompassing the core zones of tropical rainforest national parks that possess diverse vegetation and stable ecosystems, conducive to maintaining or increasing carbon storage. Evaluating the efficacy of the EPR in enhancing regional carbon storage is critical for refining management strategies and achieving carbon neutrality goals. Future strategies should incorporate a comprehensive analysis of ecosystem services of carbon storage into the EPR framework to enhance multiple ecosystem functions, thereby establishing a resilient and functionally stable ecological landscape. This research introduces an insightful estimation method crucial for developing more effective ecological protection policies and provides valuable insights for managing ecological protection areas globally. [ABSTRACT FROM AUTHOR]

The novelty claims in carbon forestry often obscure the complex histories and the colonial entanglements of carbon forest socioecologies. This paper argues that the conditions of possibility of carbon forestry in ‘Nigeria’s last rainforest’ are tightly linked to the uneven colonial production of forests across Southern Nigeria. Drawing on archival research, ethnographic fieldwork and analysis of program documents and academic literature, the paper unsettles claims of novelty in Nigeria’s carbon forestry by demonstrating the material continuity between colonial forestry and carbon forestry. Focusing on the development of colonial forestry in Southern Nigeria under British colonial rule, the paper traces the coloniality of scientific forestry as a form of environmental rule, and its entanglements with imperial capitalism and presumptions of racial hierarchy. If the success of scientific forestry in Southern Nigeria meant the draining of Nigeria’s forests as timber export, its failure in Cross River paradoxically produced ‘Nigeria’s last rainforest,’ a literal ‘colonial residue’ . In colonial forestry, as in contemporary carbon forestry, a reductionist knowledge of forests, capitalist interests and a racialized global division of labor all interact in consequential ways. The paper concludes that decolonizing Nigeria’s forestry is a precondition for saving its ‘last rainforest.’ [ABSTRACT FROM AUTHOR]

Tomographic Synthetic Aperture Radar (SAR) allows the reconstruction of the 3D radar reflectivity of forests from a large(r) number of multi-angular acquisitions. However, in most practical implementations it suffers from limited vertical resolution and/or reconstruction artefacts as the result of non-ideal acquisition setups. Polarisation Coherence Tomography (PCT) offers an alternative to traditional tomographic techniques that allow the reconstruction of the low-frequency 3D radar reflectivity components from a small(er) number of multi-angular SAR acquisitions. PCT formulates the tomographic reconstruction problem as a series expansion on a given function basis. The expansion coefficients are estimated from interferometric coherence measurements between acquisitions. In its original form, PCT uses the Legendre polynomial basis for the reconstruction of the 3D radar reflectivity. This paper investigates the use of new basis functions for the reconstruction of X-band 3D radar reflectivity of forests derived from available lidar waveforms. This approach enables an improved 3D radar reflectivity reconstruction with enhanced vertical resolution, tailored to individual forest conditions. It also allows the translation from sparse lidar waveform vertical reflectivity information into continuous vertical reflectivity estimates when combined with interferometric SAR measurements. This is especially relevant for exploring the synergy of actual missions such as GEDI and TanDEM-X. The quality of the reconstructed 3D radar reflectivity is assessed by comparing simulated InSAR coherences derived from the reconstructed 3D radar reflectivity against measured coherences at different spatial baselines. The assessment is performed and discussed for interferometric TanDEM-X acquisitions performed over two tropical Gabonese rainforest sites: Mondah and Lopé. The results demonstrate that the lidar-derived basis provides more physically realistic vertical reflectivity profiles, which also produce a smaller bias in the simulated coherence validation, compared to the conventional Legendre polynomial basis. [ABSTRACT FROM AUTHOR]

The genus Mullederia (Acariformes: Stigmaeidae) are free-living predatory mites with six species known in the world. In this paper, we describe and illustrate a new species, Mullederia hainanensissp. nov., from deciduous broad-leaved plants and evergreen broad-leaved plants in Hainan Province, China. Moreover, an identification key is provided for the known species of this genus. [ABSTRACT FROM AUTHOR]

This article, published in the Journal of Raptor Research, describes the first nest records of the Red-Throated Caracara (Ibycter americanus) in Peru. The Red-Throated Caracara is a social forest raptor that preys on paper wasp colonies. The article provides details of two nests found in the Junín department of Peru, including their locations, characteristics, and observations of adult behavior. The study suggests that the species may exhibit some flexibility in nesting in human-altered forests. Further research is needed to understand the nesting habitat requirements and nest success of this poorly known caracara. [Extracted from the article]

Monkeypox (MPX), which is similar to smallpox and cowpox, is caused by the MPX virus. It primarily appears in isolated areas in Central andWest Africa, often near tropical rainforests. In this paper, a mathematical model of the MPX virus is explored and the sensitivity of the reproduction number is investigated. Two different numerical techniques, forward Euler, and nonstandard finite difference (NSFD) are constructed for solving the studied model numerically. The convergence, positivity, boundedness, and consistency of the NSFD scheme are investigated. The simulated graphs are displayed to illustrate the main attributes of the developed methodologies. The simulation results indicate that the NSFD scheme demonstrates unconditional convergence, whereas the convergence of the other two techniques is contingent upon the values of the step sizes. [ABSTRACT FROM AUTHOR]

Tropical forests play a significant role in the global carbon cycle and global climate. However, tropical carbon cycling and the feedbacks from tropical ecosystems to the climate system remain critical uncertainties in current generation carbon-climate models. One of the major uncertainties comes from the lack of representation of phosphorus (P), the most limiting nutrient in tropical regions. Here we introduce P dynamics and C-N-P interactions into the CLM4-CN model and investigate the role of P cycling in controlling the productivity of tropical ecosystems. The newly developed CLM-CNP model includes all major biological and geochemical processes controlling P availability in soils and the interactions between C, N, and P cycles. Model simulations at sites along a Hawaiian soil chronosequence indicate that the introduction of P limitation greatly improved the model performance at the P-limited site. The model is also able to capture the shift in nutrient limitation along this chronosequence (from N limited to P limited), as shown in the comparison of model simulated plant responses to fertilization with the observed data. Model simulations at Amazonian forest sites show that CLM-CNP is capable of capturing the overall trend in NPP along the P availability gradient. This comparison also suggests a significant interaction between nutrient limitation and land use history. Model experiments under elevated atmospheric CO2 ([CO2]) condition suggest that tropical forest responses to increasing [CO2] will interact strongly with changes in the P cycle. We highlight the importance of two feedback pathways (biochemical mineralization and desorption of secondary mineral P) that can significantly affect P availability and determine the extent of P limitation in tropical forests under elevated [CO2]. Field experiments with elevated CO2 are therefore needed to help quantify these important feedbacks. Predictive modeling of C-P interactions will have important implications for the prediction of future carbon uptake and storage in tropical ecosystems and global climate change. [ABSTRACT FROM AUTHOR]

The Sinharaja rainforest, renowned for its extraordinary biodiversity, serves as a captivating destination for jungle tourism. To enhance the visitor experience and promote sustainable practices, this research paper explores the integration of smart technologies in jungle tourism within the Sinharaja rainforest. Specifically, the study focuses on four research components: animal sound recognition, image-based reptile identification, image-based inherent flower identification, and image-based herbal plant identification. Animal sound recognition plays a crucial role in identifying and appreciating the diverse wildlife in the Sinharaja rainforest. By employing advanced machine learning techniques and relevant algorithms. Enhancing their understanding and appreciation of the rainforest's fauna. In addition to animal sound recognition, imagebased reptile identification aims to facilitate the identification and understanding of reptilian species in the Sinharaja rainforest. enabling visitors to appreciate reptilian diversity while being aware of potential risks and conservation considerations. Furthermore, image-based inherent flower identification contributes to the overall jungle tourism experience by offering a novel way to engage with the rainforest's vibrant flora. This technology not only educates visitors about the different types of flowers they encounter but also raises awareness about the importance of conserving endangered plant species within the Sinharaja rainforest. Image-based herbal plant identification focuses on utilizing image recognition technology to identify various medicinal plant species in the Sinharaja rainforest. This technology provides valuable information about the taxonomy, properties, and traditional uses of medicinal plants. This research explores the integration of smart technologies to enhance the jungle tourism experience in the Sinharaja rainforest. The findings of this study offer valuable insights for tourism practitioners, technology developers, and conservationists, contributing to the sustainable development of jungle tourism in this remarkable ecological treasure. [ABSTRACT FROM AUTHOR]

The possible impact of El Niño-Southern Oscillation (ENSO) events on the main components of CO2 and H2O fluxes in a pristine mountainous tropical rainforest growing in Central Sulawesi in Indonesia is described. The fluxes were continuously measured using the eddy covariance method for the period from January 2004 to June 2008. During this period, two episodes of El Niño and one episode of La Niña were observed. All these ENSO episodes had moderate intensity and were of Central Pacific type. The temporal variability analysis of the main meteorological parameters and components of CO2 and H2O exchange showed a very high sensitivity of Evapotranspiration (ET) and Gross Primary Production (GPP) of the tropical rain forest to meteorological variations caused by both El Niño and La Niña episodes. Incoming solar radiation is the main governing factor that is responsible for ET and GPP variability. Ecosystem Respiration (RE) dynamics depend mainly on the air temperature changes and are almost insensitive to ENSO. Changes of precipitation due to moderate ENSO events did not cause any notable effect on ET and GPP, mainly because of sufficient soil moisture conditions even in periods of anomalous reduction of precipitation in the region. [ABSTRACT FROM AUTHOR]

Most recently atmospheric studies have evidenced the imprint of large N2O sources in tropical/subtropical lands. This source might be attributed to agricultural areas as well as to natural humid ecosystems. The uncertainty related to both sources is very high, due to the paucity of data and small frequency of sampling in tropical studies. This is particularly relevant for the African continent. The principal objective of this work was to quantify the annual budget of N2O emissions in an African tropical rain forest. Soil N2O emissions were measured over 19 months in Ghana, National Park of Ankasa, in upland and lowland areas, for a total of 119 days of observation. The calculated annual average emission was 2.33±0.20 kg N -N2Oha-1yr -1, taking into account the proportion of upland vs. lowland, as the two areas showed significantly different fluxes, the lowland being characterized by lower N2O emissions. N2O fluxes peaked between June and August and were significantly correlated with soil respiration on a daily and monthly basis. No clear correlation was found in the upland areas between N2O fluxes and soil water content or rain whereas in the lowland soil water content concurred with soil respiration in determining N2O flux variability. The N2O source strength calculated in this study, very close to those reported for the other two available studies in African rain forests and to the estimated mean derived from worldwide studies in humid tropical forests (2.96±2.0 kg N-N2Oha-1 yr -1), supports the concept that tropical humid forests represent the strongest natural source of N2O emissions, most probably the strongest source of N2O in the African continent. [ABSTRACT FROM AUTHOR]

This paper proposes a new kind of airship actuator configuration for surveillance and environmental monitoring missions. We present the design and application of a six-propeller electrical airship (Noamini) with independent tilting propellers, allowing improved and flexible maneuverability. The vehicle has different combinations of differential propulsion and can be used in a two-, four- or six-motor configuration. We developed a high-fidelity airship simulator for the Noamini airship, which was used to test and validate a control/guidance approach. Incremental Nonlinear Dynamic Inversion (INDI) is used for the velocity/attitude control to follow a high-level L1 guidance reference in a simulated waypoint-tracking mission with wind and turbulence. The proposed framework will be soon implemented in the onboard control system of the Noamini, an autonomous airship for environmental monitoring and surveillance applications. [ABSTRACT FROM AUTHOR]

Background: Chrysochroinae Laporte de Castelnau, 1835 is the very colourful subfamily of Buprestidae. There are 127 species and subspecies of the subfamily which have been recorded in China. New information: In this paper, we reported three genera, two subgenera and five species of the subfamily Chrysochroinae Laporte de Castelnau, 1835 (Coleoptera, Buprestidae) which are all newly recorded from China. These reported taxa belong to two tribes and four genera: Chrysochroa (Chroodema) corbetti (Kerremans, 1893), Chrysochroa (Pyranthe) fulgens ephippigera White, 1843, Demochroa (Demoxantha) gratiosa indica Csiki, 1900, Xanthocata bonvouloirii (Deyrolle, 1861) (all the above four being Chrysochroini) and Cardiaspis mouhotii E. Saunders, 1866 (Dicercini). The five newly-recorded species are briefly described, illustrated and supplemented with relevant biological information. [ABSTRACT FROM AUTHOR]

An experiment was conducted to test whether a coffee package bearing a Rainforest Alliance Certified (RAC) label triggered affective responses favoring the coffee and further influenced the pro-environmental behaviour of participant consumers in convenience stores. One group of customers viewed an RAC-labeled package and tasted the coffee while the other group viewed a non-labeled package and tasted the coffee. Both groups filled out a questionnaire collecting Likert-type scale data on their affective responses to, perceived flavors of, and willingness to pay for the coffee during the tasting and viewing. Whether they disposed of the paper cup for the trial taste in a recycling box or a trash box was observed. A logit model was employed to estimate the probabilities of their recycling the cup over discarding the cup. Results revealed that more positive feelings were expressed and recycling behaviour was increased among customers exposed to the package with an RAC label, although the two groups did not differ significantly in their perceived flavors and willingness to pay. It was estimated that the probability of the RAC-labeled group to recycle the paper cup was 2.89 times higher than that of the non-labeled group. Based on the theory of central and peripheral routes of information processing, the mechanisms of the behavioural influence of the label are discussed with a few possible factors such as involvement and self-identity. This study contributes to the advancement of eco-label research by shifting the focus to the nonpurchasing behavioral effects of eco-labels on consumers and observing the behaviors in real, rather than laboratory, settings. It might also inform the promotion of sustainable consumption of the merits of employing experiential marketing. [ABSTRACT FROM AUTHOR]

Sustainable development goals assume that basic notions, such as health, life, and water, can be universally and easily expressed and understood across diverse communities and stakeholders. Yet, there is growing evidence pointing to considerable semantic diversity in how humans represent the world in language. In this paper, I discuss such semantic diversity in the context of key notions of sustainability. Focusing on an environmental term of broad relevance to sustainability goals, forest, I explore how this notion compares with assumed equivalent notions in a non‐Western lesser‐known speech community. Specifically, I analyze representations of treed environments in the language of the Jahai, a forager community inhabiting the rainforests of the Malay Peninsula. The results show that an understanding of local indigenous systems of representation can be crucial to the communication and implementation of sustainability goals. Sustainable development goals assume that environmental notions can be universally expressed and understood across languages. In this paper I discuss the notion of forest in the context of an indigenous Jahai term, showing that there are significant challenges to translation and communication of such notions. [ABSTRACT FROM AUTHOR]

Tropical forest soils are a significant source for the greenhouse gas N2O as well as for NO, a precursor of tropospheric ozone. However, current estimates are uncertain due to the limited number of field measurements. Furthermore, there is considerable spatial and temporal variability of N2O and NO emissions due to the variation of environmental conditions such as soil properties, vegetation characteristics and meteorology. In this study we used a process-based model (ForestDNDC-tropica) to estimate N2O and NO emissions from tropical highland forest (Nyungwe) soils in southwestern Rwanda. To extend the model inputs to regional scale, ForestDNDC-tropica was linked to an exceptionally large legacy soil dataset. There was agreement between N2O and NO measurements and the model predictions though the ForestDNDC-tropica resulted in considerable lower emissions for few sites. Low similarity was specifically found for acidic soil with high clay content and reduced metals, indicating that chemo-denitrification processes on acidic soils might be under-represented in the current ForestDNDC-tropica model. The results showed that soil bulk density and pH are the most influential factors driving spatial variations in soil N2O and NO emissions for tropical forest soils. The area investigated (1113 km²) was estimated to emit ca. 439±50 tN2O-Nyr-1 (2.8-5.5 kgN2O-Nha-1 yr-1) and 244±16 tNO-Nyr-1 (0.8-5.1 kgNha-1 yr-1). Consistent with less detailed studies, we confirm that tropical highland rainforest soils are a major source of atmospheric N2O and NO. [ABSTRACT FROM AUTHOR]

Sustainable development concerns have been integrated into global value chains through the enforcement of sustainability standards, making the chains sustainable. Understanding the sustainability effects of sustainable value chains has been limited by the narrow focus on one standard, few larger comparative perspectives, methodological weaknesses, and diversity of contexts. This article analyses how sustainable coffee value chains contribute to sustainable development. Systematically, the study reviewed peer‐reviewed publications based on causal methodologies and primary data collected from Uganda, Kenya, Tanzania, and Ethiopia. The paper shows that sustainable value chains promote sustainable development, but their effects vary across sustainability dimensions and standards. Fairtrade has a higher contribution to social sustainability because it emphasizes social issues. Organic standards and the Rainforest Alliance also have a higher contribution to ecological sustainability because they emphasize ecological conservation. Sustainable coffee value chains have more contributions to social and ecological sustainability than economic sustainability because of the trade‐offs that ensues from conversion to sustainable value chains. However, combining standards reduces trade‐offs. The sustainability effects of sustainable value chains also vary across cooperatives because of their heterogeneity. [ABSTRACT FROM AUTHOR]