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A major challenge in transforming development to inclusive, sustainable pathways is the pervasive and persistent trade-off between provisioning services (e.g., agricultural production) on the one hand and regulating services (e.g., water purification, flood control) and biodiversity conservation on the other. We report on an application of China’s new Ecological Development Strategy, now being formally tested and refined for subsequent scaling nationwide, which aims to mitigate and even eliminate these trade-offs. Our focus is the Ecosystem Function Conservation Area of Hainan Island, a rural, tropical region where expansion of rubber plantations has driven extensive loss of natural forest and its vital benefits to people. We explored both the biophysical and the socioeconomic options for achieving simultaneous improvements in product provision, regulating services, biodiversity, and livelihoods. We quantified historic trade-offs between rubber production and vital regulating services, finding that, over the past 20 y (1998–2017), there was a 72.2% increase in rubber plantation area, leading to decreases in soil retention (17.8%), water purification [reduced retention of nitrogen (56.3%) and phosphorus (27.4%)], flood mitigation (21.9%), carbon sequestration (1.7%), and habitat for biodiversity (6.9%). Using scenario analyses, we identified a two-pronged strategy that would significantly reduce these trade-offs, enhancing regulating services and biodiversity, while simultaneously diversifying and increasing product provision and improving livelihoods. This general approach to analyzing product provision, regulating services, biodiversity, and livelihoods has applicability in rural landscapes across China, South and Southeast Asia, and beyond.

Evolutionary analyses reveal conservation and divergence of epigenetic transition during early development across mammals.

We investigated the toxic effects of inhalation exposure to ferric oxide (Fe2O3) and zinc oxide (ZnO) nanoparticles in rats. Male Wistar rats were consecutively treated with Fe22O3 at 8.5 mg/kg body weight and ZnO nanoparticles at 2.5 mg/kg body weight, twice daily for 3 days. Content of Fe2O3 and ZnO in tissues, biochemical parameters in serum, and hispathological examinations were analyzed at 12 h and 36 h after the 3 day treatment. In the Fe2O3-treated group, iron (Fe) content in liver and lung tissues was significantly increased at 36 h. In the ZnO-treated group, zinc (Zn) content in liver tissues was significantly increased at 12 h and further increased at 36 h. The levels of serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total protein (TP), creatine kinase (CK), and lactate dehydrogenase (LDH) in both nanoparticle-exposed groups were significantly decreased compared to the unexposed controls. Histopathological examination showed that both types of nanoparticles caused severe damage in liver and lung tissues. Although this damage progressed in both liver and lung throughout the postexposure period, no significant elevation of serum enzyme activities was observed in response to either nanoparticle type.

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This paper presents a detailed study of improving visual representations for vision language (VL) tasks and develops an improved object detection model to provide object-centric representations of images. Compared to the most widely used bottom-up and top-down model [2], the new model is bigger, better-designed for VL tasks, and pre-trained on much larger training corpora that combine multiple public annotated object detection datasets. Therefore, it can generate representations of a richer collection of visual objects and concepts. While previous VL research focuses mainly on improving the vision-language fusion model and leaves the object detection model improvement untouched, we show that visual features matter significantly in VL models. In our experiments we feed the visual features generated by the new object detection model into a Transformer-based VL fusion model OSCAR [21], and utilize an improved approach OSCAR+ to pre-train the VL model and fine-tune it on a wide range of downstream VL tasks. Our results show that the new visual features significantly improve the performance across all VL tasks, creating new state-of-the-art results on seven public benchmarks. We will release the new object detection model to public.

Since 2014, there have been increasing numbers of undernourished people in the world, mainly distributed in developing countries. At the same time, the rapid growth of China's agricultural FDI (Foreign Direct Investment) has attracted international attention. There are different opinions on whether China's fast-growing agricultural investment can contribute to promoting global food security. The objective of the article is to clarify the consensus and differences of current research, and explore the actual impacts of China's agricultural FDI. This paper adopts the Grounded Theory to sort out the characteristics, reasons, and impacts of China's agricultural FDI and their intrinsic relationship. The results show that private enterprises are the mainstay of China's agricultural FDI, mainly concentrated in developing countries in Asia and a few developed countries such as Singapore, New Zealand, and the United States. As the investment model is transformed from land leasing to mergers and acquisitions, China's agricultural investment links are transformed from planting to full-industry chain operations. The motives of Chinese agricultural FDI are affected by corporate goals, national strategies, and the international environment. For China, overseas agricultural investment guarantees national food security, helps expand the agricultural product market, and enhances China's influence. For the host country, China's agricultural investment brings about agricultural technology, management experience, and employment opportunities. However, in the actual investment process, the investment model of land leasing has caused the instability of local farmers' livelihoods, and the excessive pursuit of profits by Chinese companies has also led to an unfair distribution of agricultural products. All of these may bring some challenges to the social and economic development of the host country to a certain extent, affecting the realization of win-win goals. In order to achieve a win-win goal, at the enterprise level, Chinese companies should make the investment model fit the interests and development goals of the host country, rationally choose the investment location, and abide by local rules. At the government level, the Chinese government should guide enterprises to focus on the less developed countries and regions that are most in need of introducing agricultural investment, and provide enterprises with risk protection. At the international level, it is necessary to strengthen the formulation and improvement of international agricultural investment rules, guide the public to form an objective understanding of agricultural investment behavior and impact, and create a suitable environment for international agricultural investment.

The restoration of ecosystems provides an important opportunity to improve the provision of ecosystem services. Achieving the maximum possible benefits from restoration with a limited budget requires knowing which places if restored would produce the best combination of improved ecosystem services. Using an ecosystem services assessment and optimization algorithm, we find choices that generate maximum benefits from ecosystem restoration. We applied a set of weights to integrate multiple services into a unified approach and find the optimal land restoration option given those weights. We then systematically vary the weights to find a Pareto frontier that shows potentially optimal choices and illustrates trade-offs among services. We applied this process to evaluate optimal restoration on Hainan Island, China, a tropical island characterized by multiple ecosystem service hotspots and conditions of poverty. We analyzed restoration opportunities with the goal of increasing a provisioning service, plantation revenue, and several water-related ecosystem services that contribute to improved water quality and flood mitigation. We found obvious spatial inconsistencies in the optimal location for maximizing separate services and tradeoffs in the provision of these services. Optimized land-use patterns greatly out-performed the non-target restoration scheme. When explicit consideration of the importance of poverty alleviation was taken into account, the location of the prioritized areas shifted and trade-offs among services varied. Our study emphasizes the importance of integrating social concerns into land-use planning to mitigate conflicts and improve equity, especially in the areas where poverty and hotspots of biodiversity and ecosystem services are highly geographically coincident.