Stratification of tropical rainforests and their arthropods is highly pronounced. I hypothesize that the occurrence of rainforest canopy beetles in the understory is not random but related to the ecology of the taxa, such as feeding guilds and larval development. Therefore, the ecological characteristics of stratum generalists recorded in both the canopy and the lower understory were analyzed. Adult beetles were collected manually and with traps in the northern part of the Amazonian rainforest for a cumulative year. Seventy out of a total of 862 canopy beetle species from 45 families associated with 23 tree species were shared between both strata. The beetle families represented by most species in the canopy and ground samples were Curculionidae, Chrysomelidae, and Carabidae. For Elateridae and Scarabaeidae, the proportion of shared species between the strata was ≥20%. In contrast, the species-rich families (≥20 canopy species) Cerambycidae, Mordellidae, and Buprestidae did not comprise species sampled in both strata. Thus, beetle families comprising many stratum generalists are either largely predatory, or their larvae often develop in the soil.
Non-governmental environmental organizations are diverse in scope, goals and doctrine, ranging from natural history societies to green parties. It was from the 1960s that they became widespread worldwide. To characterize a French NGO and assess the changing trends in its objectives over time, we have qualitatively and quantitatively analyzed the journal it has published without interruption for 40 years: 140 issues, 4500 pages, and almost 250 keywords. The initial scope of the NGO was focused on ‘humans and nature’: we do not protect the environment against humans but with humans, i.e., at the same time as humans, which is the very definition of sustainable development, with its three-fold focus: nature, economy and social justice. The primary issues included recognizing water as a shared resource for all people, promoting sustainable agriculture and transportation (such as railways), advancing peace efforts, and protecting nature. This approach emphasizes a rigorous, evolving scientific perspective that goes beyond a focus on a few charismatic species (‘deluxe biodiversity’), embracing biodiversity in its entirety. Over time, the discourse has kept track of the shifting priorities of most Green parties: less and less focused on nature (e.g., forests, ecosystems) and more and more on social issues (e.g., health, housing, transport). However, it differs in not focusing on the idées fixes of the Greens (e.g., rejection of civil nuclear power, GMOs).
Climate change is leading to rapid environmental changes, including fluctuating precipitation and water levels, which raises the risk of flooding in coastal and riverine locations around the United States. This study focuses on Sacramento, California, a city significantly affected by these changes and recent severe flooding disasters. The ultimate goal is to understand the climate dynamics and create a more robust model to alert Sacramento and other communities to possible flooding and better prepare them for future climatic uncertainty. In this research, four classification machine learning models—Support Vector Machine (SVM), Random Forest (RF), Artificial Neural Network (ANN), and Long Short-Term Memory (LSTM)—are examined for their capacity to predict the occurrence of floods using historical precipitation temperature and soil moisture data. Our results demonstrate that the LSTM model, with an accuracy of 89.99%, may provide better reliable flood predictions, possibly due to its ability to process complicated temporal data. SVM, RF, and ANN showed accuracies of 81.25%, 83.75%, and 85%, respectively. The study explores the correlation between increasing precipitation incidents and severe climate variations, such as the El Niño and La Niña cycles, which could have increased flooding risks. Significant rainfall peaks occurred in 1998 and 2007, indicating that external atmospheric circumstances might have considerably impacted local weather patterns. While LSTM models show potential, there remains room to improve their accuracy and adaptability in extreme flood scenarios. Given these findings, future research could combine multiple environmental data sources and hybrid modeling approaches to enhance predictions.
Good projects and solutions aiming at sustainable development must repair the damage done in past decades by being explicitly designed and monitored to achieve synergetic benefits for the environment and society. We identify environmental, social and economic aspects of sustainability in which enlightened forest management can increase the fulfillment of human and ecological needs and hence the quality of life of present and future generations. Projects aiming at energy production and profits at the cost of biodiversity, nature protection, and human health and well-being are therefore questionable and increasingly socially and politically unacceptable—especially where the viability of alternative options with better social and ecological footprints can be easily demonstrated. This is also true for renewable energy projects. The perspective presented here demonstrates how ostensibly renewable energy projects in natural areas, such as large-scale wind and solar power plants in traditional forests, which are planned, for example, in Germany, may be detrimental to ecological and social sustainability. Forests cut down for such projects are “non-renewable” within reasonable time-scales left to stabilize our climate and ecosystems. Such projects also impair the credibility of the proclaimed role model character and sustainability leadership of Global North countries, which can lead to negative implications for the protection of forests in tropical countries.
There are estimated to be about 3 trillion trees on Earth, or about half the number that existed before the dawn of human civilization. Trees are vital to at least four major biogeochemical cycles, namely, the carbon, water, nitrogen and oxygen cycles. In addition to absorbing carbon, and releasing oxygen through photosynthesis, trees are critical for maintaining biodiversity, providing habitat for 80% of land based wildlife, feeding the soil, generating clouds and increasing albedo (thus causing global cooling), influencing rainfall and weather patterns. The loss of trees, therefore, weakens our chances of reaching climate and biodiversity targets, and so proforestation and other practices to stringently preserve the functionality of and holistically restore forest ecosystems, must be adopted as a matter of urgency, paying due attention to soil, and species diversity including mycorrhizae; not being limited to insouciant “tree planting” solutions. Indeed, due to the tardiness of our actions to repair the Earth and its climate, severe restrictions to the cutting of mature trees must actually be enabled globally. However, this alone is not enough, and must be integrated with other forms of land, wetland, grassland and agricultural protection and restoration. Such Nature Based Solutions could provide over one-third of the climate mitigation needed by 2030 to keep within the 2 °C global heating limit. Nonetheless, it is also critical to curb greenhouse gas emissions at source, not only by implementing low-carbon, renewable energy, but also energy demand reduction strategies, such as insulating buildings, societal relocalisation, and local food growing.