Treesearch

The long-term supply of ecosystem services is dependent on properly functioning ecosystems and their susceptibility to natural and anthropogenic disturbances such as climate change and urbanization, as they can alter ecosystem structure and function. Forest function is not static, but rather a risky asset that fluctuates and can decrease as a result of forest disturbance. Therefore, concepts such as resilience and insurance value as well effective policy formulation, management, and restoration are key to maintaining these benefits. This study estimates the insurance value that the public...

Relatively little is known about the dynamics of tropical urban forests, their phylogenetic diversity, as well as the socioeconomic and ecological factors that influence overall diversity across the urban landscape. However, permanent forest inventory and monitoring plot networks are increasingly being established across forests and cities of the world to monitor structural and functional attributes of urban forests, as well as ecosystem services. We analyzed a tropical, coastal urban forest in San Juan, Puerto Rico using metrics of phylogenetic diversity (PD), plant diversity, and...

The Luquillo Experimental Forest (LEF) has a long history of research on tropical forestry, ecology, and conservation, dating as far back as the early 19th Century. Scientific surveys conducted by early explorers of Puerto Rico, followed by United States institutions contributed early understanding of biogeography, species endemism, and tropical soil characteristics. Research in the second half of the 1900s established the LEF as an exemplar of forest management and restoration research in the tropics. Research conducted as part of a radiation experiment funded by the Atomic Energy...

Data in this report come primarily from the USDA Forest Service, National Woodland Owner Survey (NWOS). The NWOS is implemented by the Forest Inventory and Analysis program to answer questions related to who owns the forests, why they own it, what they have done with it in the past, and what they intend to do with it in the future. The family forest ownership results are based on random sample of 143 family forest ownerships from Washington who participated in the NWOS in 2017 and 2018. The sampling errors provided below are important for assessing the reliability of the estimates....

Data in this report come primarily from the USDA Forest Service, National Woodland Owner Survey (NWOS). The NWOS is implemented by the Forest Inventory and Analysis program to answer questions related to who owns the forests, why they own it, what they have done with it in the past, and what they intend to do with it in the future. The family forest ownership results are based on random sample of 178 family forest ownerships from West Virginia who participated in the NWOS in 2017 and 2018. The sampling errors provided below are important for assessing the reliability of the estimates....

Data in this report come primarily from the USDA Forest Service, National Woodland Owner Survey (NWOS). The NWOS is implemented by the Forest Inventory and Analysis program to answer questions related to who owns the forests, why they own it, what they have done with it in the past, and what they intend to do with it in the future. The family forest ownership results are based on random sample of 204 family forest ownerships from Tennessee who participated in the NWOS in 2017 and 2018. The sampling errors provided below are important for assessing the reliability of the estimates. Additiona...

Data in this report come primarily from the USDA Forest Service, National Woodland Owner Survey (NWOS). The NWOS is implemented by the Forest Inventory and Analysis program to answer questions related to who owns the forests, why they own it, what they have done with it in the past, and what they intend to do with it in the future. The family forest ownership results are based on random sample of 475 family forest ownerships from Texas who participated in the NWOS in 2017 and 2018. The sampling errors provided below are important for assessing the reliability of the estimates. Additional...

Data in this report come primarily from the USDA Forest Service, National Woodland Owner Survey (NWOS). The NWOS is implemented by the Forest Inventory and Analysis program to answer questions related to who owns the forests, why they own it, what they have done with it in the past, and what they intend to do with it in the future. The family forest ownership results are based on random sample of 249 family forest ownerships from Texas - East who participated in the NWOS in 2017 and 2018. The sampling errors provided below are important for assessing the reliability of the estimates....

Data in this report come primarily from the USDA Forest Service, National Woodland Owner Survey (NWOS). The NWOS is implemented by the Forest Inventory and Analysis program to answer questions related to who owns the forests, why they own it, what they have done with it in the past, and what they intend to do with it in the future. The family forest ownership results are based on random sample of 226 family forest ownerships from Texas - West who participated in the NWOS in 2017 and 2018. The sampling errors provided below are important for assessing the reliability of the estimates....

Data in this report come primarily from the USDA Forest Service, National Woodland Owner Survey (NWOS). The NWOS is implemented by the Forest Inventory and Analysis program to answer questions related to who owns the forests, why they own it, what they have done with it in the past, and what they intend to do with it in the future. The family forest ownership results are based on random sample of 126 family forest ownerships from Utah who participated in the NWOS in 2017 and 2018. The sampling errors provided below are important for assessing the reliability of the estimates. Additional...